propose a dynamic edge node selection scheme

construct a decentralized and secure EHRs with more flexible control by patients themselves instead of the third party

present an optimal algorithm OLoQ for this problem

propose a secure edge caching scheme for layered multimedia contents in HetNets

accurately derive the finite blocklength coding rate over mmWave MIMO wireless fading channels

an optimal synchronization scheduling algorithm (OSSA) is designed to optimize network utility functions

present iLoc, a low-cost, low-power and wide-area localization system for IoT applications

propose a multiple-input-multipleoutput (MIMO) AirComp framework

improve the reliability of a Long Range (LoRa) sensor network with duty-cycle limitations

minimize the total energy consumption subject to the computation capacity and execution latency limits

the optimal associations that provide reliable connections between UAVs and IoT devices are investigated

a new routing protocol

proposes an iterative UAV deployment strategy for SAILN

In order to cope with poor communication performance and high computation demands of cell-edge IMDs

proposing effective authentication solutions between a UAV and dumb IoT devices

investigate spectrum sharing ultrareliable and low-latency communications (URRLC)

investigating how bus mobility impacts the formation of these networks. In this sense, we present clear understanding the bus mobility for vehicular networks

evaluates whether it is more efficient to stop and resume bundle transmissions on the next contact opportunity

investigate the edge caching and content delivery problem for both high-speed train (HST) passengers and low-mobility cellular users

formulate a computation offloading problem for these time-sensitive and computation-intensive applications to minimize the data transmitted to the server

studies the analysis of the uplink local delay in a mobile edge computing (MEC) based vehicular ad hoc network (VANET)

select crowdsourcing workers with performance maximization

considers a multi-drone enabled data collection system for smart cities

studies the energy issues for data collection in UAV enabled WSNs

relax the bottleneck in wireless backhaul links

consider a general trajectory planning problem for multi-UAV assisted wireless networks in a post-disaster scenario

improve the data rate between a terrestrial base station (BS) and user equipment (UE)

minimize both the energy difference between nodes and the energy loss during this process

propose the HAR performance upper bound

empower universal localization service

propose a novel grant-free compressive sensing based solution

considers malicious link detection in multi-hop wireless sensor networks (WSNs)

studying APassisted task assignment in mobile crowdsensing

propose a deep neural networks (DNN) based algorithm

how to model and analyze the capacity of D2D wireless ad hoc networks

predict the future data popularity

study the task assignment problem in MCS systems that maximizes the main system utility

The performance of the Long Term Evolution (LTE) Device-to-Device (D2D) direct discovery process in outof-coverage scenarios

characterizes the integrated impact of sensing ability and transmission capacity on the state estimation performance

Having timely and fresh knowledge about the current state of information sources

seek an alternative route before the current one becomes unavailable

prolong the lifetime, applying mobile data collectors to gather data in WSNs

counter the disadvantage for underground sensing

guarantee the short latency requirements for 5G multimedia wireless services

Underwater event/object detection

propose an algorithm, termed AdaptaBLE

study the problem of the detection of an abnormal change in a monitored sensory variable

a random arrival oriented URLLC policy is investigated for Additive White Gaussian Noise (AWGN) channels

locate and narrow search areas as well as victim estimation using wireless ad-hoc communication based schemes to accelerate the rescuing process in emergency responses

propose a dynamic channel allocation scheme based on deep reinforcement learning for multi-UAV systems

To relieve the energy scarcity problem

consider a cellular Internet of unmanned aerial vehicles (UAVs)

introduces a media transmission scheme in the UAVaided network utilizing reinforcement learning algorithms to efficiently process and transmit the captured video

study power allocation and user association in UDHN. This paper focuses on load balancing and energy efficiency of UDHN

investigates the autonomous control of massive unmanned aerial vehicles (UAVs) for mission-critical applications

model the congestion control problem of Vehicular Ad-hoc Networks (VANETs)

integrating the signal pathloss model into distance metric learning

Designing a routing protocol for underwater sensor [17]-[19]. To extend the network lifetime

propose a framework that generalizes the static and dynamic malware features that are used to train multiple machine learning algorithms

propose a deep reinforcement learning-based topology optimization algorithm, a unified search framework, for self-organized energy-efficient WSNs

provide edge-intelligent and customized medical services for the countryside

propose a terminal identity authentication technology

solving a binary distributed detection problem

To overcome these challenges

propose a joint power allocation on MRC (JPA-MRC) protocol

delegate employee tasks of a consumer hypermarket to customer-workers, utilizing store's loyalty programs interface to recruit participants and reduce operational and logistical costs.

investigates a secure communication via an untrusted relay with channel estimation error

investigate the stealthy sniffing of a BLE For instance, BLE fitness trackers could become the target connection that has been established for a while.

investigates the impact of injection and reactive jamming attacks in W-SKG.

To ensure the covertness under such condition

consider the secure generalised precoding aided spatial modulation (GPSM) scheme

mine user privacy behavior hidden behind the surveillance traffic based on traffic statistical features

proposed a secure service providing mechanism for IoTs using blockchain

represent hierarchical traffic flows comprehensively, this paper proposes a deep learning architecture for anomaly detection

present an approach enabling data owners to keep data confidentiality and availability under control

propose a policy hiding and updating ABE (PHU-ABE)

present Acro, a graph encryption scheme, which executes approximate CSD queries securely

proposes a hierarchical blockchain based reputation management scheme in vehicular networks

propose an attribute-based access control scheme

solve this problem, Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is introduced as the core algorithm to reconstruct the transaction model

To encourage the customers' participation

propose a tracking-resistant communication mechanism with dynamic paths(TresMep)

propose a solution for secure event in cyberphysical systems logging based on the blockchain technology

eliminate above limitations

propose an efficient and lightweight mutual authentication protocol for MEC environments

resolve conflicts in the collected data and discover the underlying truth

obtain greater control over the signal-tonoise ratio (SNR) required to successfully decode the signal

investigate covert communication over millimeter-wave (mmWave) frequencies

secure coordination among co-located IoT nodes from different IoT networks. In this paper, we shed light on this unique challenge

address this gap, PPCMIC protocol based on lightweight randomization protocol is proposed

design and implement a system called PrinterRadar

propose a CSI-based continuous authentication scheme for the Internet of Things

provide robust security with unlimited storage capability that can be adapted to the IoT resources constraints

a novel anti-eavesdropping OFDM system

study the CV teleportation channel created between two ground receivers via direct lossy-distribution from a low-Earth-orbit (LEO) satellite

enhance the physical layer security of the single-input-single-output wiretap channel with single-antenna jammers

investigates power allocation for UAV swarm-enabled secure networks

explore the use of neural networks with complex-valued weights to learn fingerprints using supervised learning

develop secure hybrid beamforming algorithms

studies a secrecy unmanned aerial vehicle (UAV) communication system with coordinated multipoint (CoMP) reception

analyze the impact of space-time relationship on location privacy preservation

effectively detect and mitigate stealthy DoS attacks in SDN-based networks

propose a time-sensitive, lightweight, and secure access control mechanism, called TSLS

Detecting Android malware

presents a novel solution to the challenge of exchanging keys of a large, distributed network without the need to set up additional authorities

adopt a time-related deep learning approach to detect network intrusions

presents a multi-view deep learning model for the encrypted traffic classification

explore this issue by means of machine learning techniques

protect user privacy for recommendation systems

propose a novel security enhanced precoding technique

propose a novel route mutation mechanism

propose a CJ scheme for IoT systems to fight against multiple passive and collusive eavesdroppers of unknown channel state information

To overcome these issues, this paper proposes a prediction generation scheme for the horizontally distributed data among different companies

propose a location anonymization method which can control the degree of preserving user preferences on visiting locations

present AClog, a multiple log correlated analysis system to construct the attack chain

secure communication in the downlink multiuser multi-antenna systems with an external multi-antenna eavesdropper

investigate the anti-jamming problem in the NOMA system where both the base station and the jammer equip RL algorithm.

consider a wireless surveillance system

provides a novel black box method to estimate the side-channel leakage amount of a crypto device

propose a novel algorithm for dynamic symmetric key generation

address the privacy of the users in the path probing process

maximize the worst-case secrecy rate

formulate an optimization problem for selecting the minimum number of possible congested links so that the legitimate traffic goes through a non-congested path

propose a new digital scheme to securely back up a hardware wallet

To address this privacy issue

propose a coordinated direct and relay transmission scheme

present WATCHOUT

address ROP attacks from a different angle-shrinking available code space at runtime

study the joint optimization of relay placement and power allocation

mitigate this attack and improve the network performance

enhancing wireless network security

To facilitate the resource trading between the CCP and FCPs

introduce credible SFC (cSFC)

propose a secure Cloud environment for connected vehicles denoted VCDN

presents SECRIN, a secure cryptography infrastructure for VMs in the cloud.

To address these issues, a secure medical data sharing protocol is presented

we present BSA, the blockchain-based specification for ABE to mitigate this risk

documented the effectiveness of six different gradient-based adversarial attacks on ResNet image recognition model.

prevent the privacy leakage and resist such kind of attacks

propose an LOFbased attack detection scheme

speed up the traffic detection of DPI

propose an effective anomaly detection approach

propose a methodology for prioritized cyber risk remediation plan

improve aggregation efficiency in multi-user scenarios

investigate a novel hybrid beamforming design for joint data and artificial noise

model and analyze scenarios wherein an attacker employs multiple strategies to choose stepping stones

To address those problems

present an analytical modeling framework for Practical Byzantine Fault Tolerance (PBFT)

to detect mAGDs from DNS traffic

presents the attack on a special case of Boneh and Durfee attack method with respect to large decryption exponent

To address these limitations, a novel DDoS detection scheme

effectively deal with this new type of malicious email attack, this paper proposes a dynamic detection method for malicious email

protect intranet security

propose a novel password cracking tool

maximize the total secrecy throughput of ITs subject to the ERs' received energy constraints

To overcome the limitations

investigate the effects and challenges of using RPL's security mechanisms under common routing attacks

propose a machine learning classification scheme, Bali, that can identify the encrypted traffic from various websites

provide a fully distributed IDS for the IoT

propose BotCLAM, an algorithm to detect P2P botnet community structures in a communication graph

develop a privacy-preserving participant recruiting scheme for mobile crowdsensing

introduces a theory of mind (ToM)-based stochastic gametheoretic approach to reason about the beliefs and behaviors of the attackers

characterize deception based attack-defense strategies

improve the performance of reliable broadcast

propose an efficient transaction query scheme for the privacy-preserving lightweight client

analyze the performance of vehicular optical camera communication (OCC) towards ultrareliable and low latency communications (uRLLC).

model and evaluate the performance of 5G and beyond waveforms using PLA techniques

maximizing the number of affected participants according to the location of attack zones

introduces a novel Vehicular-toEverything (V2X) service localization concept

devise a controller-assisted distributed routing scheme with recursive link weight reconfigurations

improve the performance of URLLC

propose multi-input-multi-output (MIMO) multimedia MBSFN system design

show that millimeter wave bands can fulfill extreme latency and reliability requirements with much higher system capacity than mid-band frequencies

maximize the user experience while minimizing the energy cost from a long-term perspective

improve the QoS

present a novel architecture that employs an analog converged Fiber-Wireless scheme

proposes a server selection scheme in successive participation scenario based on the segmentation of participating-domain to suppress the latency

leverage the SoftwareDefined Networking paradigm to take advantage of the global view of the network and its powerful intelligence that allows reacting to the network changing conditions

propose a regression model for predicting delay values in an SDN-based fog layer

address the derivation of a closed-form expression for the optimal resources dimensioning of an SNS in terms of cost or energy efficiency

To address the bandwidth allocation problem under multi-objective scenarios

propose an optimization framework

To fully understand how the computational demand of EDCs varies

presents our Audit4Cloud platform

proposes a novel offloading methodology

model the MEC resource allocation problem for different service providers by using a pricing scheme

present an analytical model based on Jackson networks and fork-join systems to analyze parallel jobs latency with distributed schedulers in a cloud environment

exploiting terminal positions for various cellular network services and communication aspects

address the problem of multiplexing Ultra-Reliable LowLatency Communication (URLLC) users and enhanced Mobile Broadband (eMBB) users

propose three contextaware sequential Long Short-Term Memory (LSTM) learning models for multi-dimensional anomaly detection

proposes a scheme that enables modeling the utility function for real-time prediction of spatial information

propose a Machine Learning (ML) based approach to complement the empirical or ray tracing-based models, for radio wave propagation modeling and RSS estimation

propose FAIR-AREA, a fast Artificial Intelligence based joint optimization of rate adaptation and resource allocation of DASH service

provides a novel DNS-based profiling scheme

enable end-to-end vertical compatibility and horizontal cooperation at all levels (field/network/backend)

formulate the overall problem of content placement for multiple vCDN providers that employ collaboration as an overall social-welfare maximization problem

introduce a smart injection attacker model (SINAM) that may be used in the design of security solutions against injection attacks in MCS

study the impact of black hole attacks on service coverage of multi-tier heterogeneous wireless networks

explores the feasibility of a wireless indoor location system

facilitate transport protocol design, with fast evolution and innovation

deploying BFT

present a new open-source instrument for Fast Analysis of LTE Control channels (FALCON)

proposes a secure network coding architecture for mobile small cells

proposes leveraging architectural patterns

studies the physical layer security of a vehicular communication network in the presence of interference constraints by analysing its secrecy capacity

proposes an algorithm for routing, spectrum and core allocation based on single/multipath routing for providing path protection

consider a variant of the FNN known as the Self-normalizing Neural Network (SNN)

investigate a cross-layer energy-efficient transmission design for a class of vehicular communication networks

To protect all interactive applications from excessive buffering

develop a novel and unique analytical model for the localization error resulting from trilateration

introduces a Multi-Agency DisAster Management (MADAM) framework for Unmanned Aerial Vehicle (UAV)-assisted public safety systems

improve service efficiency

analyze nonstatistical data aggregation with the constant number scheme

propose a novel resource allocation scheme for Ultra-Reliable and Low Latency communication (URLLC) traffic in the uplink of 5G systems

present an analysis of the potential cost benefits of serverless computing for end customers and cloud providers

Efficient radio resource allocation

improve spectrum efficiency

solve the problem in 3-tier heterogeneous vehicular network

Finding the optimal association between users and base stations that maximizes the network sum-rate

To mitigate the mutual interference among D2D pairs and improve the spectrum efficiency

the problem of coexistence interference caused by unlicensed networks

enable the fast sensing policy optimization in OSA

resolve the skewed category distribution problems of signal data

propose a sensing-based DSA framework

To remedy this situation

improve the network performance

proposing a novel sensing approach in FD systems leveraging the Pilot-Tone (PT) structure of Orthogonal Frequency Division Modulation (OFDM) signals.

consider an unmanned aerial vehicle (UAV) enabled wireless network

propose efficient optimisation methods

enhancing the virtual reality (VR) experience for wireless users

propose a novel non-orthogonal multiple access (NOMA)-assisted cooperative overlay spectrumsharing network

symbiotic radio networks (SRNs) and focus on the user association problem in SRNs

achieve global optimality of dynamic resource allocation

training federated learning (FL) algorithms over a realistic wireless network

proposes a deep reinforcement learning (DRL) solution

introduce a reusable analytics framework

improve the content delivery efficiency

proposes an on-demand learning offloading mechanism for edge-to-edge cooperative AI

investigates the network-level throughput of an full-duplex (FD) enabled CSMA network

propose coexistence decision algorithms for assigning TV channels to TV Band Devices considering IEEE 802.19.1 standard specifications

solving the frequent handover (FHO) problem in dense HetNets

develop a mathematical framework for the performance evaluation of mmWave vehicular relaying in a typical street deployment

address a resource allocation problem for joint caching and broadcast transmission in small cell networks with time-varying statistical properties

analyze the impact of timing skews of the multicoset sampler

investigating the joint rate and beamwidth adaptation for data transmission in the presence of CSI uncertainties

investigates two-coil inductive channel for an efficient Wireless Power Transfer (WPT), while intelligently enabling high-data rate communication

present a solution towards the PUE attacks

study the impact of the number of layers and the number of hidden nodes in each layer on the performance and generalization ability of neural decoders

protect the privacy of buyers/sellers from the untrustworthy auctioneer, other buyers/sellers and other potential parties

designing traffic prediction tools that employ either statistical, rule-based, or deep machine learning methods

consider a smart jammer that only attacks the channel if it detects activities of legitimate devices on that channel. To cope with such smart jamming attacks

improve the efficiency of blind rendezvous among multi-radio asynchronous cognitive users (CUs)

introduces a series of low-computation radio frequency analytics

targets the maximization of utility with the constraints of system stability and traffic pricing policy

an intelligent intrusion detection system (IDS)

propose an RFID based system, termed NodTrack, to detect the nodding movements of drivers

personalized vehicular crowdsensing

improve the safety and autonomy of In this paper, we propose to develop an intelligent and navigation

investigate fundamental impacts of multicast opportunities on efficient transmission of a 360 VR video to multiple users in the cases with and without transcoding at each user

propose a novel analog transmission scheme to simultaneously reduce the overheads and yield better reconstruction quality

minimizing the communication overhead.

explore the source selection to maximize the user's QoE under the network capacity and 3D reconstruction constraints

introduces a predictive pre-rendering approach

minimizing the delay between loss, jitter, transmission delay, and availability

address this challenge

propose an extended framework for the management and orchestration of UAVs' services in MECNFV environment

present an architecture for VNF platforms

create a proper virtualized testbed for software defined network (SDN)

propose and evaluate a novel multicast routing scheme, named M-CRP

optimize the QoE in complex end-to-end transmission environments

propose a similarity measure, PW-PathSim, to calculate the relevance between two entities of the semi-symmetric weighted meta paths

develop an adaptive video delivery scheme to minimize the delay in MEC assisted ultra-dense networks

present a credibility-based chance-constrained fuzzy programming solution for PRA

describes a real-time 4K/60p High Efficiency Video Coding (HEVC, the latest coding standard) multi-bitrate encoding system

maximize the Quality of Experience (QoE) of viewers and minimize the cost to the content providers

ensure the security of whole IoT system and the privacy of users

present a novel secure and decentralized intelligent stock market prediction model

propose Co-IoT, a blockchain-based framework for collaborative DDoS attack mitigation

introduces a design of firewall, which based on IDS's feedback t change rules in order to detect attack flexible

proposes a distributed resource sharing protocol for enabling dynamic deployment of IoT networks on-demand in smart cities

introduces a cloudbased big data framework and Priority-based, Dynamic and Time sensitive data processing and Scheduling (PDTS) approach

propose an efficient cache replacement policy that takes the quality of service into consideration

proposes a framework dubbed u201cSOCL

propose Mc-Track

accelerate the deployment and the adoption of any new Transport protocols in the Internet

devise novel solutions

detect, classify, and track objects in near real-time fluvial domain

introduce delay bounded virtual emotion barriers in IoT-enabled smart cities

propose jointly an offline association and resources sharing scheme implanted at a SDN central controller of a multirate WLAN

study the Minimum Span Channel Assignment Problem (MS-CAP) in hexagonal cellular networks with k-band buffering restriction

analyze the key factors that affect the efficiency of the order picking system

chalk up a QoE-sensitive multimedia data pricing economic model

propose a novel wireless virtual reality scheme by caching resource on head-mounted displays (HMD) and exploiting head movement prediction to improve user experience

improve the handover performance

propose a simple yet efficient coexistence solution based on Network Function Virtualization (NFV) technology

propose a novel mechanism to optimize the software u201clayoutu201d based on dynamic performance measurements

demonstrate the gain of VNFs sharing-based service function chaining (SFC) requests placement

help the designer specific functionalities and QoS parameters constraints

cover access to network services for such a geographical area with a parameterization based on availability, access price and quality of service

provide a deterministic and exact solution to the minimization of services queries response times

propose a novel multi-user travel itinerary planning framework

propose a microgrid-cloud based architecture and study the grid power dispatching problem to cloud data centers

efficiently support ultra-reliable, low-latency communication (URLLC)

design an adaptive coding scheme to achieve small AoI at both users

consider a point-to-point wireless communication system

realize timely delivery of fresh data over time

study the age of information with a particular focus on its scaling as the network size n grows

distributed rank selection in a multi-cell wideband cellular network with multiple antennas per node

To further improve learning efficiency and quality

introduce a novel DPPbased learning (DPPL) framework for efficiently solving subset selection problems in wireless networks

To enable real-time processing of communication algorithms

proposes a deep learning-based error

considers an MEC network that consists of multiple users, multiple edge nodes (ENs), and a remote cloud computing server

study the secure and reliable connectivity of wireless sensor networks under the heterogeneous pairwise key predistribution scheme

minimize the average AoI of each node by a joint broadcast scheduling and power control policy

study a real-time Internet of Things (IoT)-enabled monitoring system

how much the performance is affected by correlated fading

significantly improve the performance of fifth generation (5G) wireless networks

present a novel and optimal joint antenna selection and power adaptation rule

propose a capacity-achieving scheme for private information retrieval (PIR) from databases (DBs) with heterogeneous storage constraints

studies the spatial correlation of the energy harvested from a Poisson field of millimeter-wave (mmwave) RF power sources

assess the security performance of key-less physical layer authentication schemes in the case of timevarying fading channels

propose a transdimensional Poisson model

present the first stochastic geometry-based performance analysis of a drone cellular network

derive new optimal power allocation solutions

develops a paradigm for optimizing progressive reads for flash memory cells

introduces a priority-based coding scheme for unequal error protection in the AWGN channel using short messages

present a statistical analysis of the secrecy capacity for two downlink transmission schemes

reduce the number of transmissions in the retransmission phase

A fully distributed version of sequential change detection

the synergy of combining the edge and central cloud computing

study the communication problem of multiuser multiple-input single-output (MISO) broadcast channels with imperfect channel state information (CSI) at the transmitter

maximize the system throughput of a point-to-point ultra-reliable low-latency communications (URLLC) system

bring to light the existence of irregular LDPC codes that approach the theoretical limit of the channel with ID errors even without markers

design finite alphabet message passing decoders (FAID) for Low-Density Parity Check (LDPC) codes

Quantization of a discrete memoryless channel (DMC)

an efficient LDLC decoder

present a novel decoding algorithm for q-ary low-density parity-check codes, termed symbol message passing

enables the design of good quasi-cyclic spatially coupled low-density parity-check codes

quantify the impact on the SSE of pilot contamination

maximizing the sum of mutual informations

implement AC based DMs using finite-precision arithmetic (FPA)

investigates the capacity of block fading optical intensity channels with more transmit than receive antennas under different assumptions on the transmitter's channel state information (CSI)

study a generalization of deduplication

The Generalized Degrees of Freedom (GDoF) of the two user interference channel are characterized

introduce a new family of error correction codes

propose an efficient reliability based segmentation-discarding decoding (SDD) algorithm for short block-length codes

approach the random coding union (RCU) bound with low decoding complexity at the target FER

The polarization process of conventional polar codes in binary erasure channel (BEC)

presents two new upper bounds on the probability of error for maximum likelihood decoding in the finite blocklength regime

provides a reduced-complexity approach to maximum likelihood (ML) decoding of cyclic codes

introduces a novel communication paradigm for the unsourced, uncoordinated Gaussian multiple access problem

investigates the coexistence of nonorthogonal multiple access (NOMA) and full-duplex (FD)

propose a generalized version of the slotasynchronous random access scheme called Irregular Repetition ALOHA (IRA)

Optimization of information freshness in wireless networks

we An efficient approach to combat inter-cell interference

studies the computation-communication tradeoff in a heterogeneous MapReduce computing system where each distributed node is equipped with different computation capability.

To design the respective quantizers

propose a cloud-assisted scheme where the tracking is performed over the cloud

present a new scheme

provide a new scheme

propose a scheme considering the cache sizes distribution and file popularity distribution simultaneously

studies the robust energy efficient beamforming design for MISO systems where only channel distribution information (CDI) is assumed to be available at the transmitter

investigate the robust beamforming design for simultaneous wireless information and power transfer (SWIPT)-enabled hierarchical cognitive radio (HCR)

considering the network-induced delays, the joint design of optimal control strategy and power consumption for WSANs is addressed

minimize the system transmit power

propose a simple, yet effective way to implement the receiver for a tag backscattering incident FM radio signals

improve the energy efficiency of the heterogeneous cloud radio access networks (H-CRANs)

the average power consumption of the wake-up enabled MTC UE

minimize the energy cost of systematic traffic transmission

To meet the requirements of energy efficient M2M communications

reduce the amount of data transmission and improve the efficiency of data aggregation in sporadic machine type communications

design a new power minimization mechanism for content distribution applications

minimize the product of energy consumption and time delay with the constraints of TS ratio and EH requirements

investigate an energy-efficient cooperation strategy of multi-UAVs for providing seamless long-term coverage

investigate a spectrum- and energy-efficient emergency wireless communication system with an unmanned aerial vehicle (UAV) mounted base station (BS)

proposes a novel algorithmic solution for dynamic computation offloading

study the reliability of LTE based CBTC train ground communication systems based on experimental data

describe the construction and evaluation of a hardware device that consolidates traffic going between servers and the top-of-rack (ToR) switch

propose an energy-efficient hybrid flow routing and antenna scheduling scheme for tree-based hybrid DCNs

better improve the decision-making and self-organizing ability of the network

study the impact on radio network energy consumption, system capacity and end-user performance

to efficiently utilize limited flow tables and minimize the delay for mice-flows

satisfy the boosting mobile traffic de- increasing the usage of renewable energy and consequently mand

provides the first comprehensive performance analysis of non-coherent detection under a fast-varying wireless channel for ambient backscatter communication

present a data mapping that allows efficient parallel computation of the GFDM algorithm by a standard Harvard CPU architecture

formulates a joint delay-energy optimization problem

present an approach

maximizing the achievable sum throughput subject to energy harvesting (EH) constraints

propose a distributed, energy-management module called ReNEW

presents a machine learning-assisted method for extracting the information of the AmBC device

Energy efficiency of wireless links is very important in modern communication systems. A survey of papers evaluating energy efficiency

fully share carrier resources for backscattering

jointly optimize the sampling resolution

maximize the energy efficiency of downlink heterogeneous NOMA network

jointly considers edge energy consumption and delay under the limited network resource for multiple users

investigates the efficient cooperation in wireless-powered communication networks

maximize the throughput

an optimal control algorithm for connected vehicle systems is proposed

Applying deep learning to object detection

investigate adaptive-bitrate (ABR)-based multimedia services (MS) in MEC-based vehicular networks

investigate deep learning based rate adaptation (RA) scheme for the vehicle users accessing to the TVWS band

propose a queueing theoretical framework to analysis the effectiveness of the opportunistic V2V communication

propose a joint content distribution scheme in VANETs

achieve the tradeoff between the QoS and migration cost

propose a graph and deep reinforcement learning-based resource allocations

propose a more sophisticated business model with an ecosystem for MEC deployment

a novel queueing game framework for computational workload assignment and strategic computing speed control in fog computing is proposed

investigate the network lifetime maximization problem based on present user task information

an online truthful mechanism integrating task executor selection, computation and communication resource allocation is proposed

considering a specified model of evolutionary video popularity

How to effectively map multiple tasks into multiple helper nodes to reduce the service delay

propose an actorcritic based deep reinforcement learning (ADRL) model

To address this challenge

present a comprehensive Multi-access Edge Computing (MEC) system model

enhance the connectivity between the edge node and users for low-latency computation offloading

investigate the user association problem for mobile edge computation (MEC) offloading in nonorthogonal multiple access (NOMA) networks

propose a novel HO decision algorithm for MEC systems that cooperates both radio and computation offloading

propose a dynamic policy of relay selection that maximizes the performance of cellular networks

offer convenient incentives for the RUEs to motivate them to act as relays

build a new epidemic model

design of a scheduling scheme involving RA D2D mode for BS

derive upper bounds

In this paper, a Priority based Buffer Management Technique (PBMT) has been introduced

investigate the analytical connectivity performance of Vehicle-to-Vehicle communications when using millimeter wave carrier frequencies

propose a novel scheduler called GUC

a careful characterization of this traffic is needed for every split option. Among the wide array of options, the MAC-PHY split

delay minimization for multi-hop wireless mesh network (RODM)

present UDP++

reveals severe security risks in real-world LTE systems, which call for immediate enhancement from both standardization organizations and cellular service providers.

investigate the downlink coverage probability of a typical aerial user served by a network of terrestrial-BSs and aerial-BSs

study the effectiveness of adapting the activation period of scalar sensors and cameras on the lifetime of the network

show that this is not always true, and there are cases in which increasing the scheduling timings provides better E2E delay performance.

a scheme of cooperative vision-based localization with communication constraints is proposed

propose a real-time, nondestructive, and low-cost wheat mildew detection system using commodity WiFi devices

studies the effect of bandwidth partitioning (BWP) on the reliability and delay performance in infrastructureless wireless networks

maximize the total throughput of the network

presents the meta distribution analysis of the downlink two-user non-orthogonal multiple access (NOMA) in cellular networks

evaluate the timeliness of status updates in remote control systems

To overcome this drawback

reduce multiuser ming and man-in-the-middle attacks

consider a massive multiple-inputmultiple-output (MIMO) system

propose a coordinated shared spectrum framework that can be considered for next generation cellular standardization

investigates the sensor selection problem for time difference of arrival (TDOA) localization in wireless sensor networks

To combat this challenge

focus on the problem of motivating vehicles to join the crowdsourcing system

propose a Stackelberg game based framework to tackle this challenge

optimize predictive power allocation for video streaming over mobile networks with deep reinforcement learning

propose a minimum separation clustering (MSC) algorithm

effective task processing and improved user experience

formulate a utility maximization problem to tackle this difficulty, and propose a novel crowdsourcing framework

optimize energy consumption and quality of experience (QoE) in video streaming over software-defined mobile networks (SDMN) with MEC

proposes a Proactive Replication scheme for Resilient Content Delivery (PRRCD) in SDN

explore an orthogonal direction on temporal correlation

introduce a freeway driving assistance protocol for drivers aiming to reduce the difficulties for fresh drivers and enhance the safety and efficiency conditions over the freeway road scenarios

introduces a Deep Learning based solution to automatically construct the MSP of a mobile user

present a 5G RAN that is able to dynamically adapt the subset of centralized functions to maximize data rates at runtime

propose a new link must be formed

considers the problem of maximizing the number of scheduled users that request to download data with deadlines from an energy-harvesting base station

learn an stochastic routing policy for each router

maximizing the hit ratio for users with limited buffer size

enhance the performance of service provisioning

propose a hybrid learning framework to obtain a more accurate prediction of users' preference

ensure a secure and anonymous communication

enumerate the benefits of mmWave and SDN on the vehicular network

introduce a neuromorphic architecture that is suitable for computing the next-hop for bundles in a disruption or delay-tolerant network

To circumvent this problem

propose a dual-connection based handover scheme for mobile UEs

model the problem of service admission control considering the CN and RAN layers resource allocation while maximizing the MNO's profit.

propose a novel handover mechanism to reduce unnecessary handovers in a mmWave cellular network

consider radio access network (RAN)-only slicing

explore the appropriate selection of BS cooperation set to reduce handover rate

tackle the spectrum scarcity problem and enhance the spectrum efficiency

studies the component carrier selection (CCS) problem in an LTE-U and WiFi coexistence network

proposed a spectrum map assisted unlicensed resource allocation scheme for LTE-LAA SBSs to enhance successful transmission probability

propose a scheme, named CRUI

simultaneously gain the transmission and energy efficiencies of the wireless communication devices in this paper

reducing the access delay and improving the spectrum efficiency

propose a mobile VR delivery framework

investigates the resource allocation in an uplink SCMA-enabled C-V2X network

study the joint resource allocation and the corresponding performance of non-orthogonal multiple access (NOMA) systems with imperfect successive interference cancellation (SIC)

user offloading and resource optimization are jointly addressed to support ultrareliable and low latency communications (URLLC) in HetNets

both mobile edge computing and cloud computing are considered to support the mobile blockchain applications which makes the problem a hierarchical one

isolating and slicing Radio Access Network (RAN) resources

study the power control problem for AirComp over fading channels

develop a tractable and efficient model of EE based on spatial fluid modeling when JT-CoMP is applied

The conventional outage in wireless communication systems is caused by the deterioration of the wireless communication link

study a multi-beam millimeterwave beamspace multiple-input multiple-output (MIMO) system

balancing the hit ratio and energy efficiency in social-aware proactive caching

identify The identification of EE-ASE

improve energy efficiency in UAV-enabled IoT systems

improve the quality-ofservice (QoS) of the user equipments (UEs) in the cell edge

describes a method of creating spatial codes that map the chosen channel to the motion and location of the UAVs in space

a UAV-assisted wireless network is studied

propose a novel unmanned aerial vehicle (UAV)assisted data dissemination protocol

redesign SDN control in IoT lastmiles so as to extend the capability from edge routers to devices

proposes a transmission protocol for massive Internet of Things (IoTs) networks with energy harvesting (EH)

formulates fair scheduling in IEEE 802.11ah networks as a multi-objective optimization problem

describes a route discovery technique

investigate the IoT task offloading under an SAGIN scenario where multiple IoT devices generate computing tasks to be processed.

model NFV placement problem considering the reliability requirement of the services

obtain better quality of experience (QoE) satisfaction ratio and spectrum efficiency (SE)

To tackle the aforementioned challenges

the content popularity prediction problem in cache-enabled fog radio access networks (F-RANs) is investigated

proposes distributed user-to-multiple Access Points (AP) association methods

maximize the number of flows that meet the deadline while maximizing the network utilization

Neighbor discovery

enhance the performance of cellular networks, due to their high mobility and efficient deployment. In this paper, we consider a singleUAV assisted wireless communication system

enhanced mobility management for drones

investigates the problem of cache node placement and selection

enhance the performance of millimeter wave (mmW) networks

optimizing the deployment of unmanned aerial vehicles (UAVs) equipped with visible light communication (VLC) capabilities

introduce, in this paper, a mechanism for steering the connection in mobile network-enabled UAVs

investigate the efficient usage of UAVs in Unmanned Aerial Vehicle aided Opportunistic Networks (UAON)

proposed a smart-decision framework

devise the concept of self-optimizing UAV Base Stations (UABSs).

sampling information updates and scheduling mobile traffic in a timely manner

propose a Crowdsensing based Switch (CrowdSwitch) system between multiple cellular operators in subways

presents the design and implementation of TWPalo

develop a deep neural network based model

improve the overall reliability of vehicular networks

a multipath-assisted indoor localization algorithm is proposed

focus on the problem of taking capacity expansion decisions considering the traffic needs and performance requirements of network slices instantiated on the access infrastructure

propose a novel approach, named NOS2

designed a deterministic switch

focus on cloud-to-user latency

configure the right multi-path routing algorithms in real deployment according to the specific service targets

To minimize such losses

proposes a hybrid SDNlabel switching scheme

minimize the average download delay

improve the efficiency and safety of the transportation system

maximize network resources availability with minimal cost as network infrastructure is shared among different network slices

present parameter modeling for indoor THz communication

present two Radio Frequency (RF) slice allocation mechanisms

propose, in this paper, an efficient rules placement algorithm based on Deep Reinforcement Learning (DRL) and traffic prediction

propose a highly real-time VO system based on the optical flow and DenseNet structure accompanied with the inertial measurement unit (IMU).

study some of the security pitfalls present in the OpenFlow protocol

propose a blockchain-based naming system called blockDNS to solve them simultaneously

Embedding customized virtual networks (VNs) onto the underlying physical network (PN)

transform the inter-AS source address validation into an u201caddress protectionu201d service

a database encryption technology is designed

design and implement an INT system important and useful

investigate a set of distributed resource allocation schemes for out-of-coverage D2D group communication

the self-adaptive sampling method for elephant flow detection

propose an incremental QoS-aware path selection algorithm

exploit the ECN information to improve AQM algorithms

propose a power back-off based non-orthogonal random access (NORA) scheme for massive machine-type communications (mMTC) networks

propose a robust network traffic modeling approach and use it to estimate network traffic in IoT

presents a tool that leverages lightweight virtualization to create MCC testbed environments composed of multiple mobile devices and remote servers

designed a QoS- spatial-aware online sampling method

propose POSCARS

present Bubble to enable lightweight core sharing in NFV

propose a novel graph-based scaling detection model (GSDM) using deep learning techniques

propose Buffet, a general and efficient framework that enables multitenancy for a wide range of NFs

increase the deployment flexibility and integration of new network services with increased agility within operator's networks

propose in this paper a framework for resource orchestration for 5G network slices

propose a certificateless authentication and key agreement protocol

propose a radio resource slicing system for three types of slices with specific radio resource/quality of service (QoS) requirements

introduce, explain and evaluate diverse SFC migration patterns

propose a dynamic slicing approach for the radio access network

we study DEMAND-OPE to consider response time and throughput

solve the SFC placement problem in a MEC-NFV environment

propose an auction scheme for computing resource allocation (ASCRA) in D2D-assisted MEC system

joint edge cache placement and content delivery problem at a base station (BS) in the presence of spatio-temporal unknown content dynamics

propose the u201cEdge eXchange (EX)

introduce a multi-access edge computing platform

design resource management strategies in edge computing satellite (ECS)

propose an ICN performance enhancing proxy (ICN-PEP) to mitigate this performance degradation

To address the heterogeneous file preferences

maximizing the aggregated utility-value of an ICN cache service provider

utilize limited caching resources to achieve optimal performance

model these dynamic networks as a stochastic game to design a cooperative caching placement policy

This paper deals with a progressive recovery problem under limited resources in networks with VNFs, where some dependent network layers exist.

further enhance the flexibility and cost-effectiveness of network function virtualization (NFV)

propose an approach for resilient network slice embedding

propose VNF requirement prediction methods

demonstrates how the upcoming fifth generation (5G) of mobile communications

the performance of underwater SPAD receivers in detecting transmitted information from an optical transmitter located in the free space above the sea surface was assessed

high-speed stereo camera receivers for visible light communication (VLC) in intelligent transport systems (ITSs)

relax the lineof-sight requirement of free space optical (FSO) systems

the impact of nonlinear distortions

antisymmetry-constructed clipped optical OFDM (AC-OFDM) is proposed

propose a novel optical filter bank structure, which consists of a series of narrow-band optical filters, to address the issues caused by the CWL shift

reduce the bandwidth blocking ratio on the network

considers the protection of translucent elastic optical networks (EONs) through p-cycles

proposes a new physical structure and provides several theorems that address network capacity

presents a network design optimization methodology to implement ultra reliable low latency communications (URLLC) in a metro area

develop a complete framework

various link characteristics and bit error rate (BER) performance

investigates the optimal design of power allocation for Wavelength Division Multiplexing (WDM) transmission in RoFSO systems

present the experimental demonstration of photonic doubling to achieve 25 GHz millimeter wave signal generation

optimizing FOV for maximum signal to noise ratio (SNR)

propose new closed-form expressions

presents a Machine Learning (ML) framework for detection and prevention of jamming attacks in optical networks

investigate the network function virtualization-resource allocation problem in the 5G network

propose an Integer Linear Programming (ILP) formulation to address this dynamic resource allocation problem

illustrated that Ant Colony Optimization (ACO) algorithms

finding QoT model/s that are fine-tuned according to the diverse QoT requirements

investigate the problem of slice-aware service restoration in metro-access networks with specialized recovery trucks to restore services after a disaster failure

proposes a secrecy enhancement mechanism for multiuser visible light communication (VLC) systems

propose a novel non-orthogonal multiple access (NOMA) technique

mitigate the impact of high channel correlation and provide satisfying service for users

reduce the computational complexity and link overhead

propose an efficient construction of flicker-free forward error correction codes to tackle the issue of flickering in VLC

a novel index modulation aided nonorthogonal multiple access (NOMA) scheme

explore the performance of IA for MIMO PLC in the presence of correlated noise obtained from indoor measurements

Providing sufficient mobile coverage during mass public events or critical situations

investigate a metamaterial-inspired small rectenna (rectifying antenna) system

propose an autonomous model update scheme

proposes a new scheme that allows the measurement of traffic loads of radio networks by decoding some information about the cell

meet the network quality-of-service (QoS) requirements

we present SCHED2

provides a low cost, continuous and contactless WiFi-based vital signs (breathing and heart rate) monitoring method

proposes a novel resource-to-time model

find a suitable code reviewer to improve code modification efficiency for Pull Request submitted by code modifiers

To solve these challenges and make data intelligent collaborative storable

To solve these problems, we propose a novel sparse trust recommendation model, SSL-STR

preserve such rich yet potential information during HIN embedding

formulate the DML problem as a constrained optimization problem

propose a new text clustering algorithm called Word2Cluster

propose DECKS, an encrypted data deduplication scheme against the compromised key server

propose a novel discriminative algorithm that ranks all the log candidates and calculates the dcg score to determine the number of log candidates

propose the targeted poisoning attack on the factorization-based social recommender system

protect the gradients over an untrusted server

we design the first multi-keyword based search proposals ensuring forward and backward privacy over dynamic cloud data

Highly efficient and dependable large-scale DDoS attack detection scheme

apply collaborative deep learning to medical image analysis

to learn the implicit transitive semantic features among various information relevant domains

explore the use of coreset to reduce the communication overhead

propose a new approach to classifying pulse diagnoses

look into its potential social, emotional, and human movement impacts at the national level

formulate tuple scheduling problem as a stochastic network optimization problem

proposes a real-time nonlinear self-interference cancellation solution: Deep learning based Self-Interference Cancellation (DSIC) to enable IBFD wireless

we focus on a generic D2D network and to show the effectiveness of ML apply to solve the power optimization problem with different optimization models

stabilizing data processing delay while saving energy without knowing probability distributions of data sources

To solve this problem

investigates a wireless caching framework based on tweets and their location data collected from Twitter

To address this issue, in this paper, we study a new research problem, named k-Collector Problem (k-CP)

propose a technique improving the bit error rate (BER) performance

provide compressed storage for large amounts of one pass over each chunk is needed

highlighting the tradeoff between storage overhead and transmission overhead in uncoordinated content delivery from multiple coded storage systems

present the first codes with hierarchical locality that achieve scalability and flexibility in heterogeneous cloud storage using small field size

achieve higher recording density

proposes a novel security auditing framework

optimize the execution to provide Quality of Service (QoS) in edge computing

proposing Neural Task Scheduling (NTS), an online flexible task scheduling scheme

propose a dynamic slice allocation scheme with two-tier paradigm in consideration of the quality of experience (QoE)

save energy and computational time

propose an intelligent adaptive bitrate algorithm (iABR)

tackle this problem by adopting the principles of Optimal Stopping Theory contributing with two time-optimized sequential decision making models

investigates the price-based task offloading in fog-enabled networks

investigate a DNN based MEC scheme considering multiple mobile devices and one MEC server

design offloading policies that minimize the task drop rate as well as the execution delay without requiring information about the dynamics of the environment

empower the computational ability of the IoT systems

take into account the system dynamics and the user mobility and formulate the mobile computation offloading as a stochastic optimal control problem

the energy efficient virtual machine (VM) placement and virtual resource allocation problem for the mobile edge computing (MEC) system is explored

minimize the total energy consumption of mobile devices while meeting users' QoS requirements

optimizing the refresh power allocation

address this issue by considering instead a Nash bargaining solution obtaining a Pareto optimal solution of the allocation problem

propose a balanced clustering and joint resources allocation (BCJRA) algorithm

reduce the energy consumption and time delay of mobile devices (MDs) in MEC

minimizing both computing latency and energy consumption

propose the concept of a microservice store

consider a heterogeneous multi- naturally compete for computing and transmission resources cloud mobile edge computing (Het-MEC) network

define two suitable bounds able to drive the offloading decision to be taken by the battery powered FN

investigate energy-efficient offloading over multiple fading blocks with random channel gains

propose Machine Learning Function Virtualization (MLFV)

save energy in cooperative edge computing networks

this paper studies the IoT task computing expenditure problem when the task is executed at an inappropriate node.

To alleviate the security concerns caused by the openness of the edge computing network and meet the timesensitive requirements of the edge devices' collaborative tasks

propose an Accelerator for Resource allocation in MEC (ARM), which can directly solve the resource allocation problem based on deep neural network

study how to compute maximum and minimum over encrypted data and control the access to the computation result in a privacy-preserving manner

efficiently embed large-scale VNs

develop a secure coded cooperative computation mechanism ()

investigate the impact of DNN partitioning on the inference latency performance and the privacy risks in edge computing

investigates the optimal design of issue

investigates a mobile edge computing system

To address the uncertainty problem, this paper proposes an event detection scheme

we present Weaver

the user cooperative task computation

minimizing the average completion time of all tasks

an admission control charging a flat-rate price and resistant from egoistic manipulations is proposed

propose a novel accountable privacypreserving solution for public information sharing in fog computing architecture

derive the performance of an Edge Computing systems in the case of real time applications demands and user mobility

propose a jointly optimal caching and routing framework (JOCAR) for a cooperative mobile edge caching network

propose a network-aware multicriteria container scheduler to jointly process containers and network requirements

propose a cloud storage scheme which simultaneously achieves security, reliability, and deduplication

investigate how to place replicas of applications, and distribute requests among these replicas to optimize multiple objectives

propose a novel method that first locates the abnormal tissues, and performs segmentation in local regions

demonstrate the feasibility of our solution

present an in-depth study of light emitting diode (LED) based indoor visible light communication positioning system

presents a novel medical video compression system

overcome the sensory issues which are related to the practice times so that it can give better feedback on the patients' progress.

secure these devices while taking into consideration the limitations of these small devices

propose an automatic classification of the the common errors are visually highlighted

the optimal placement for an FDS on the body is in front of the shinbone.

prevent the epidemic by removing (vaccinating) nodes and removing (closing) links.

proposes an improved empirical mode decomposition method

presents MOTIF

minimize the maximal radiation degree among mobile users while maintaining normal work of wearable devices via adaptive power control of wireless chargers

presents an innovative eHealth system for ankle angular movement monitoring for physical rehabilitation

propose SmartPANTS

presents a practical system based on passive radar techniques

propose a Two-Tier Multi-channel Medium Access Control (2TM-MAC) protocol with interference mitigation for reliable health monitoring

propose a novel CNN (Convolutional Neural Network)-based respiration rate estimation method

proposing a practical cross-domain ECG biometric identification method

a detection system of congestive heart failure (CHF) based on multiple input neural network was proposed

propose an anomaly detection method

propose GraphConvLSTM

reduce network load while satisfying a predefined diagnostic sensitivity requirement

propose the SLMT approach that uses LP, multicasts, and temperature compensation for time synchronization

optimal placement of an Unmanned Aerial Vehicle (UAV)

In order to solve the problem of micro-service placement in the fog devices

harnessed the end-to-end data freshness constraint to design AUV path of traversal

designed a new technique that allows to transform heterogeneous data into homogeneous data

propose a mechanism that schedules updates on all devices in an IoT network to minimize the energy consumption

propose Q2ET solution

provide sustainable and optimized means of transportation for citizens of urban centers

reduce the computation difficulty for large size problems

improving humans' comfort

offer citizens with intelligent services in various aspects of life

propose a framework design for wireless sensor networks based on multiple unmanned aerial vehicles (UAVs)

clear the network in a shorter time by better utilizing the available network resources

Analysis of the human gait

considers the problem of pedestrian flow analysis

achieve better balance between Range and Data Rate

Predicting short-term urban traffic flow

proposes a Markov model approach for managing the configuration of multi-polarized antennas in a slowly varying, high multipath environments

performs an experimental study of traffic congestion in an area characterized by intense traffic in the city of Valencia, Spain

propose an anomaly detection algorithm on sensor traffic data

propose a scheme of Destination Driven Step-by-step Computation Offloading along the Route (DDSCOR)

proposed a differentially private tree-based contextual online learning approach for IoT service selection to select suitable services for users

provide efficient IoT data processing for supply chain management

A novel decentralized ledger architecture designed and optimized for running on Internet of Things (IoT) environment is presented

improves the performance of blockchain-based IoT applications in terms of transaction throughput and latency

proposes an Attribute-Based Access Control (ABAC) framework for IoT systems by using the emerging Ethereum smart contract technology.

proposes a Capability-Based Access Control (CapBAC) scheme

A new framework for a secure and robust consensus in blockchain-based IoT networks

introduces a lightweight and secure authentication protocol

provides a minimalist implementation of oneM2M standard's security architecture for IoT devices while considering their constrained nature

design a lightweight, probabilistic intrusion detection system, or PIDIoT

propose a SLP preserving system that leverages techniques from the well established Onion Routing paradigm

propose a probabilistic-based multi-channel assignment algorithm

propose a novel Key Management protocol for Device-to-Device communication in the Internet of Things

present the results of extensive experiments on a testbed in the The Things Network (TTN), a public LoRa network

the pursuit of joint synchronization and channel estimation

propose a theoretical framework for maximizing the LoRaWAN capacity in terms of the number of end nodes, when they all have the same traffic generation process

overcome the challenges of IoT

model this intermittent battery-less behaviour for LoRaWAN devices

Device-free indoor localization

construct a fine grained fingerprint database

propose a dual-band SDA (DBSDA) based model to create more distinguishable fingerprints

Object sensing and tracking using electric and magnetic fields allow intelligent interaction, automation, and adaptation in cyber-physical systems. Our approach, called Softsense

propose a novel, zero-effort, deep learningbased floor identification system, called ZeeFi

propose an integrated efficient distributed deep learning (EDDL) framework

describes a novel end-to-end network slicing framework for IoT services in 5G systems

investigate the computation offloading problem in a typical VEC scenario

describe how the microservices machines (VM) to the servers at the edge

consider a backscatter-aided hybrid data offloading scheme for a batteryless wireless sensor network

considers an IoT video data analysis system where smart IoT cameras can transmit all data to the base station or analyze the data locally.

enable uplink (UL) machine-type communications (MTC) with ultra low signaling overheads

propose a novel grouping mechanism that groups the nodes by their hidden-terminal relationship

propose a peer-based protocol GraphiteRouting

propose a novel approach termed EdgeBox

we address TSCH-based (Time Slotted Channel Hopping) Wireless Sensor Networks and study their latency and lifetime limits under real-world conditions

reduce the local buffer usage is to set a message expiration timer that forces the removal of old messages in the local buffers

analyzing the performance measure of cellular network for massive connectivity of IoT devices

propose a novel network scheme based on nonorthogonal modulation and multiple access (NOMMA) that is tolerant to packet collisions.

The long range and low-power operation of LowPower Wide-Area Network (LPWAN) communication technologies

investigate the use of real-valued modulated signals together with widely linear detection (WLD) to NB-IoT

investigate the resource allocation for uplink non-orthogonal multiple access (NOMA) enabled low-power wide-area (LPWA) networks

address this critical limitation

exploit map information thoroughly and automatically, and obtain a high-precision positioning result

proposed a model based on deep neural networks to determine moments when the ZUPT should be conducted

propose a twolevel nested long short-term memory (LSTM) network named IPRIC

leverage the lighting grid infrastructure in buildings by using smart light bulbs, which can include variety of sensors, in these grids

address communication-related issues of calcium signaling among a group of mobile cells

present the space shift keying crease in comparison with its SISO counterpart

construct a novel class of Gaussian additive white noise channels that capture essential features of fully- and partially-observed intensity-driven signal transduction.

blind signal detection in mobile scenario providing high data rates

we employ biophysical approach to model and discuss the influence of the ligand residence time on the performance of MC systems

considers information-theoretic aspects of mechanosensitive based communication signals in living organisms such as plants and bacteria

a QS-based molecular communication system within a microbial population in a two-dimensional (2D) environment is analytically modeled

Quantifying the statistical noise distribution and mutual information with respect to the key fluid dynamic parameters

a channel model for spiking neural networks (SNNs) is proposed

provide an energy consumption model for TS-OOK-based nanocommunication systems

models implications of communications-driven latency in smart EV charging relevant to secondary voltage control in the distribution network.

study the problem of using on-road PEVs as MESs for energy compensation service to compensate charging station (CS) overload

optimizing EB charging schedules

maximizing the long-term profits of CSOs

predicting energy demand for electric vehicle (EV) networks

enable essential security services in Smart Grid via a lightweight key management scheme

the impacts of false data injection (FDI) attacks

propose a two-phase resiliency framework for the smart power grid

propose an FDIA model

investigate the vulnerability of Smart Grid when integrating into social networks

implement and fine-tune cyber defense mechanisms

impose a risksensitive energy profiling problem for a microgrid-enabled MEC network

explore u201cconnectivityu201d of a two-layer interdependent network

investigate the workload scheduling and energy management issues of geo-distributed data centers with renewable resources and energy storages

minimizing the total cost of the transit center

consider a DC microgrid

analyze service Mean Time To Failure (MTTF) in a vulnerable network system which suffers attacks from adversaries

analyze the blockchain forking events, blockchain partitioning, and duration of inconsistent state of the ledger in a Bitcoin delivery network

propose MemNetAR, a memory network which can explicitly leverage the adversative relation among multiple targets in a sentence

propose an Efficient PrivacyPreserving Scheme (EPPS) for distributed deep learning.

generalize them to the budget feasible mechanism for k-topic influence maximization problem

propose a hybrid solution that combines the best of both worlds in a seamless experience

perform sentiment analysis and investigate the correlation between review comment sentiment and its numeric rating

propose a novel network embedding method, named Homo-Hetero Network Embedding (HHNE), for the MTR networks

explore people interactions via analyzing mobile phone data in the quest of finding the average ratio of people that an individual can connect or influence

formulate a new activity organization problem, named Social Knowledge Group Query (SKGQ), to recommend attendees and topic-related contents simultaneously

obtain betterthan-greedy propagation range

incentivize heterogeneous workers to exert efforts to complete tasks

extend our scope from the community search problems to a more generalized local community query problem

enable the allocation of users' computing tasks in a social cloud computing system offering both Virtual Machines (VMs) and Serverless Computing (SC) functions

quantify the potential gains of predictive proactive caching in improving the quality of Internet services in vehicular networks

we study data offloading problem for mobile

this paper studies multi-stage complex contagions that take place over multi-layer or multiplex networks

implement an MEC-assisted D2D live streaming service

minimize the evacuation time

propose a novel approach to routing under such conditions

consider a fingerprintbased drone detection approach

investigates two solutions for authorized TLS interception that involve TLS splitting

we considered using unmanned aerial vehicle (UAV) in ITSs during disasters

enhanced irregular repetition slotted ALOHA (EIRSA) based on tracking degree distribution control (TDDC) algorithm

propose a novel zero-forcing (ZF)based beamforming (BF) scheme

consider a high throughput satellite (HTS) system that employs BH in conjunction with precoding

we study CA temperatures, path-losses, fades, and data rates have been in multi-beam high throughput satellite systems.

designs dynamic on-board signal processing schemes in a multiple gateway multibeam satellite system where full frequency reuse pattern is considered among the beams and feeds

improve spectral efficiency in multi-beam satellitebased Internet of Things (IoT)

address the matching problem of finding the interto each other

study the integration of this kind of satellites into multi-tenant scenarios

extent the satellite-industry-wide standards to global telecommunication standards

To motivate both operators for data offloading and maximize their revenues

explores the resource allocation problem in the case of railway communications building on satellite and 5G connectivity

argues that in practice, many TCP flows on satellite links are too short-lived to back off

improve the performance of the standard PI algorithm

propose an iterative algorithm to minimize the energy consumption of data transmission while maximizing the throughput and satisfying the delay requirement

studies the End-to-End (E2E) performance of a High Throughput Satellite (HTS) system

maximization of the sum-rate under per beam power constraint and minimum SINR requirement of scheduled users

determine whether OAM is useful for satellite-based quantum communications

developed an analytic characterization of the steady-state throughput of a free-space optical satellite communications (FSOSC) system

present a novel Digital Twin (DT) platform for the remote control of machines with human-in-the-loop

derive optimal status update generation policies

develop a probability-based device-to-device (D2D) scheme

introduce timevariant zero-forcing (TVZF)

applies fundamental metrics from dependability theory to wireless communications

propose, a fretwork named as HRIDaaY

protect massive multipleinput multiple-output (MIMO) non-orthogonal multiple access (NOMA) networks

study the secrecy provisioning downlink transmission in an aerial-assisted network

investigate a downlink ANOMA system with imperfect CSI

propose a joint user identification, channel estimation, and signal detection (JUICESD) scheme

the minimization problem of task completion time is investigated for the NOMA enabled multi-user MEC networks.

provides a network architecture for the scalable solution of UAVs in an urban environment

a reference node (RN) selection algorithm for wireless network localization under desired accuracy

improve the system error performance

developed a theoretical and experimental framework

addresses the optimization of the two pilots to maximize the capacity of secret key generation for a MIMO channel with any given receive and transmit correlation matrices

consider a cellular Internet of UAVs

propose a low-complexity semi-blind joint multicarrier frequency offset (CFO) and multi-channel estimation scheme

proposes a novel multi-sensing framework for an energy harvesting heterogeneous wireless sensor network

propose an optimized traffic measurement method

tackle the issue of the sample complexity associated with such learning

propose a power encoding method for converting a high-resolution OFDM baseband signal into a signal that assumes only a finite number of values

presents a scheme based on machine learning and deep learning for energy load forecasting by considering the weather condition of the area

joint estimation for channel and In-phase/Quadrature imbalance (IQI)

minimize the signal-to-interference-plus-noise ratio (SINR) at targets under the constraints for the SINR of legitimate users

model and analyze the packet-block error rate for URLLC under the Nakagamim fading channel in the finite blocklength regime

develops a novel model to analyze the RACH success probabilities in NB-IoT networks with three CE groups

introduces a novel data multiplexing technique

deal with devices which are underlaid in a wireless communication network and harvest energy from the ambient RF transmitted signals.

find the optimal beamforming vector for the SM scheme and the optimal time sharing vector for the TS scheme

propose a lightweight and adaptive compressed sensing method

propose a deep actoractIonrd-cerxitTiecrmfrsa-meDweoerpkr

A novel simulation procedure dubbed hyperspace replication is proposed and studied

studies the impacts of low-bit quantization to wideband signal reconstruction

propose a high-resolution hierarchical beam alignment algorithm

develops efficient super-resolution spatial channel covariance estimation techniques

a simultaneous multiuser hierarchical beam training scheme for multiuser mmWave massive MIMO systems is proposed

partially-connected hybrid architecture and develop a low-complexity algorithm for transceiver design

study the problem of one-bit quantizer design

achieve the non-RS-aided codebookbased beamforming

propose a new hybrid precoding architecture called delay-phase precoding (DPP)

study the multiuser detection of orthogonal frequency division multiplexing with index modulation (OFDM-IM)

solve the channel change problem from the perspective of change-point detection

Intelligent reflecting surface (IRS) is a promising solution to build a programmable wireless environment for future communication systems

A Bayesian approach for joint beamforming and tracking is presented

define the scheduling funcsupport different kind of sensors in different domains

considers improper Gaussian signaling (IGS) in an overlay cognitive radio scenario

show that total least-squares (TLS)-based waveform design is robust against sensing uncertainties

overcome this challenge

studies the joint digital self-interference (SI) cancellation and data detection

propose a UCA-based multi-mode OAM reception method

achieve the minimum signal PAPR to maximize the PA efficiency

a practical spatial framework for mmWave-enabled vehicle-to-everything networks is proposed

explore the viability of using Coordinated Multi-point (CoMP) connectivity for robust and resilient downlink communication

discusses the appropriate choice of phase noise model for sub-THz communications

Recent advances in meta-materials

The CRB is proven to be effectively decoupled in delay and Doppler domains

proposes a new Widely Linear Minimum Mean Square Error with Decision Feedback Equalizer

fast timevarying multipath channel estimation over single-input multipleoutput orthogonal frequency-division multiplexing (SIMO OFDM)-type transmissions

investigates the classical statistical signal processing problem of detecting a signal in the presence of colored noise with an unknown covariance matrix

propose a novel expectation propagation algorithm

propose two different methods for adaptive demodulation in impulse noise

propose a variational Bayesian inference approach for a low-complexity symbol detection for massive MIMO systems with symbol-dependent transmit-side impairments

propose an efficient digital backend design for a wideband mmWave massive MIMO uplink

present BFC designs for two fully-connected hybrid beamforming scenarios

investigate energy efficiency (EE) optimization

develop a direction of arrival (DoA) and channel estimation algorithm

proposes low-complexity beam-domain channel estimation

investigate the power allocation problem with perfect channel state information (CSI) for downlink sum rate maximization in time duplex division massive MIMO systems

presents a likelihood function learning method

investigate the multiple access spatial modulation (MASM) in multiple-input multiple-output (MIMO) systems

propose a Bayesian cooperative detection algorithm for ambient backscatter assisted generalized spatial modulation (AB-GSM) system

address this computational issue

takes the first step to fill the gap

how to allocate the transmit power and the number of subcarriers

maximize the alignment probability and the data-communication throughput

optimize the planning of the service function chains under limited heterogeneous resources and to map them on physical networks

a distributed cyclic delay diversity (dCDD) is proposed

A joint data and jamming transmission scheme based on a new distributed asynchronous cyclic delay diversity (dACDD) scheme

study the optimal subcarrier scheduling in multicarrier systems

maximizing sum-rate for uplink rate splitting multiple access (RSMA) communications

develop two algorithms with low complexity for finding sub-optimal solutions of the offloading decision problem in the scenarios of one satellite and multiple satellites, respectively

present a novel capacity optimization methodology for a two-element multi-band singleinput multiple-output (SIMO) antenna

analyze the beam selection algorithm at user mobile equipment (UE) with device orientation change

To achieve high accuracy with low computational cost

a multi-user concurrent beam training scheme

investigate the scheduling design of a mobile-edge computing (MEC) system

improves the throughput of a communications system

To support millimeter-wave (mmWave) communications successfully

address a major challenge for FD mmWave systems

to achieve high user capacity and provide technical support for satellite-based Internet of Things (IoT) applications

considers a location-based optimal relay selection scheme for a relay-assisted wireless network

presents a new optimization framework for cellular networks using neighborhood-based optimization

propose an analytically tractable model of an antenna pattern

a new direct construction of zero correlation zone complementary sequence sets (ZCZ-CSs) via generalized Boolean functions is proposed

proposes, analyzes, and compares the functionality of a novel selective orthogonal frequency-division multiplexing (OFDM) receiver architecture

study the problem of unmanned aerial vehicles (UAVs) placement and bandwidth allocation for wireless networks with wireless backhaul links

investigate a mobile edge computing (MEC) architecture

improve network coverage

maximize the UL throughput

study the path planning for a cellular-connected unmanned aerial vehicle (UAV) to minimize its flying distance from given initial to final locations

investigates the physical layer security issue of an unmanned aerial vehicle (UAV) network

accurate channel estimation for millimeter-wave (mmWave) massive multiple-input multipleoutput (MIMO) systems under practical limitations

overcome the energy leakage problem in traditional sparse channel estimation

consider multipair two-way full-duplex massive multiple-input multiple-output (mMIMO) hardware-impaired relay

present a random pilot assignment algorithm with a minimum distance constraint between co-pilot users to reduce the effect of pilot contamination

the development and low multiple vertical industries or operators, acting as tenants, the formulation of a duality concept for an MBS

examine the use of autoencoders as an optimization tool for the construction of noncoherent spacetime MIMO codes

study the design trends of this new paradigm

improve the uniformity of beam coverage in horizontal domain and the fairness of spectral efficiency for UEs at different locations

propose cross-band correlation models that can be used to capture the correlation over space and frequency

designing a protocol for network-coordinated time-domain beam scheduling

understand the radio channel characteristics of such environments

This paper proposes to use a deep neural network (DNN)-based symbol detector for mmWave systems

propose a deep learning aided list approximate message passing (AMP) algorithm to further improve the user identification performance in massive machine type communications

we propose to use an intermediate channel measurement - spatial beam signal-to-noise ratios (SNRs)

propose an algorithm based on asynchronous advantage actor-critic (A3C) to solve the content caching problem

present an energy-efficient pushing policy

consider a power allocation optimization technique for a time-varying fading broadcast channel in energy harvesting communication systems

how to solve resource allocation problems in ultra-reliable and low-latency communications by unsupervised deep learning

To capture the channel non-stationarity

presents NYUSIM

provides indoor reflection, scattering, transmission, and large-scale path loss measurements and models

introduce a general approach to characterize composite fading models

present millimeter-wave (mmWave) penetration loss measurements and analysis at E-bands-73 GHz and 81 GHz

presents, for the first time, the analysis and evaluations of the throughput-outage tradeoff of such schemes based on measured cellular demand distributions

secrecy transmission

considers a wireless networked control system (WNCS)

propose a new approach based on Marcum function

investigate a coding-free control method to achieve ultra-low latency communications in singlecontroller-multi-plant networked control systems

reduce the overhead of beam training

propose in this paper an indoor localization method

tackle channel estimation in millimeter-wave hybrid multiple-input multiple-output systems by considering off-grid effects

develop an accurate 3-D ray tracer for an indoor office environment

Multi-point detection of the full-scale environment

analyze the performance of such cellular-relay V2V communications

presents a framework

jointly characterizes the harvested energy and the packet transmission success probability in grant-free uplink IoT networks energized via harvesting downlink energy

overcome this challenge

deals with the stochastic geometry-based characterization of the time-varying performance of a drone cellular network

propose a transmission scheme

finds a novel method to accurately estimate the channel DC even under Imperfect Spectrum Sensing (ISS) without requiring any prior knowledge about the licensed channel activity

propose an MH with OAM-based index modulation scheme

propose an adaptive IC switching approach that can achieve the best performance over a wide range of SNR.

introduce the - - shadowed ( -KMS) fading distribution as a natural generalization of the versatile - and - - distributions

propose a beam training method

the uplink adaptation for massive multiple-input-multiple-output (MIMO) networks without the knowledge of user density is considered

study the beamforming design problem in frequency-division duplexing (FDD) massive MIMO downlink systems

investigate fingerprint-based localization

improve the spatial channel covariance estimation performance in hybrid mmWave MIMO architecture, the HerI

attempts to fill this void by providing the first analytical backing for an NLOS bias error model

To capture this effect

we try to fill this technical gap by modelling generalized CCA sensing errors which can be either fully correlated or independent due to the fading channel.

consider a cellular vehicle-toeverything (C-V2X) network

evaluate the minimum perelement power requirement of phased arrays to support 1 Gbps rate at mmWave bands

propose a new base station (BS) cooperative beamforming (CB) technique

a novel cell coverage model is proposed from the perspective of practical system implementations

support an efficient routing process

consider an Unmanned Aerial Vehicle (UAV)-assisted cellular system

maximize the system ergodic capacity by jointly optimizing the time allocation, reflection coefficient and UAV trajectory

investigates ground-aerial uplink nonorthogonal multiple access (NOMA) cellular networks

assist such low-cost technologies through highly accurate localisation systems

enhance mmWave V2I communications by augmenting the transmission environments through reflection

present a method that enables the optimization of complex systems through Machine Learning (ML) techniques

preamble detection and TOA estimation without the need of knowing the transmit waveform

propose NDR, a novel lightweight deep learning solution to the indoor positioning problem

To meet the Quality-of-Service (QoS) requirements of vehicular applications

In order to release the burden in core networks caused by the communication demands for such data

reduce the computation complexity in the high dimensional space

proposes new designs of both the caching policy and the transmission policy

examine a new decode-and-forward (DF) scheme specifically designed for backscatter relaying

develops a novel framework for the modeling and analysis of spatial spectrum sensing (SSS)

establish an analytical framework to assess the security performance of the network of interest

propose a novel precoding scheme

considers non-orthogonal multiple access (NOMA) systems

investigates the performance of cooperative non-orthogonal multiple access (C-NOMA) in cellular downlink systems

To overcome these challenges

Quantum wireless communications (QWC) is gaining much attention for its incomparable advantages of secure key transmission in free-space scenarios

investigates the non-orthogonal multiple access (NOMA) enhanced Air-to-Everything (A2X) frameworks

maximizing system's throughput and minimizing system's power consumption, simultaneously

studies the non-orthogonal multiple access (NOMA)-based spatial modulation (SM) systems with multiple subchannels

improve the performance of the next-generation mobile network. In this paper, we propose a hybrid precoding massive MIMO-NOMA system

this paper aims to wireless communications

task assignment and power allocation

investigate the characteristics of spectrally efficient frequency division multiplexing (SEFDM)

study the resource allocation design for downlink multicarrier non-orthogonal multiple access systems with short-packet communications

analyzing the benefits of covariance-aided uplink multi-user channel state information (CSI) acquisition in massive MIMO systems

improve the spectrum efficiency

characterizing the asymptotic scaling law

The feasibility of enabling massive wireless connectivity to cell-edge users

achieve a tradeoff between energy consumption and delay

explores crucial security issue in NOMA which is stemmed from utilizing the decoding concept of successive interference cancellation.

analyze the outage probability of the multi-user multiple-input single-output (MISO) downlink system

A practically realizable generalized likelihood ratio test

improve the performance smaller wavelength and narrower beam

examine the use of matching theory for user association in millimeter wave (mmWave)enabled cellular heterogeneous networks

examines a 2x2 LoS (Line of Sight) MIMO (Multiple Input Multiple Output) channel for terahertz communications

a device grouping and pilot set allocation algorithm is proposed for the uplink massive MIMO systems over spatially correlated Rayleigh fading channels.

describes the SDF system model for linear arrays

study distributed algorithms

a novel non-coherent communica- two consecutive transmit signals

the effect of a strong interferer in the adjacent band on one-bit quantized massive MIMO systems have not been examined yet

consider an underlay radar- to receive and transmit beamforming capabilities of the radar massive MIMO spectrum sharing scenario in which massive and BS, respectively

a low-complexity cell-edge-aware Antenna Selection (AS) algorithm

proposes a novel 3D localization method for wideband mmWave massive MIMO systems

give the maximum a posteriori probability (MAP) estimation solution

deals with IQ imbalance in wideband MIMO OFDM systems

overcome the significant dependency of learning-based detection on the training length

study optimal transmit strategies for minimizing the positioning error bound in a line-of-sight scenario

analyze the number of degrees of freedom needed to accurately capture and model wideband MIMO-OFDM channels

presents a complete 5G phased-array base-station

investigate channel estimation and robust signal detection

improve area throughto keep up with the proliferating traffic demands

minimize the time-averaged expected deviation of the precoding provided by the InP from the SPs' virtualization demands

show that the query point should be judiciously chosen such that the effective noise power is minimized.

investigate the theoretical limits of channel extrapolation in frequency

investigate energy harvesting capabilities of non-orthogonal multiple access (NOMA) scheme

study its coding-level control from the information theoretical perspective

considers simultaneous wireless information and power transfer (SWIPT)

To address these challenges, we propose a wireless powered MIMO over-the-air computation (AirComp) design framework

analyzes the optimal energy beamforming solution

takes the first step to fill this gap

guaranteeing ultra-reliable millimeter-wave (mmW) communications

maximize the downlink achievable rate for the user

To further overcome the unfavorable signal propagation conditions for AirComp

enhancing the physical layer security of wireless communications systems

a novel LIS architecture

minimize the system cost

proposes a freshness-aware cache update scheme to achieve the AoI-delay balance

propose a heterogeneous multi-layer MEC (HetMEC) network

consider an ultra dense MEC system in which limited mobile edge hosts serve a relatively large number of mobile users

achieve tradeoff between complexity and efficiency

maximizing the instantaneous sum transmit rate while satisfying the rate requirement of users. In an effort to solve this pertinent problem

study a UAV-aided relay network

optimize the UAV trajectory in order to minimize the expected average communication delay to serve these random requests

study an energy-efficient unmanned aerial vehicle (UAV) multicast system

minimize its mission completion time while maintaining good connectivity with the cellular network

consider a UAV-enabled wireless sensor network (WSN)

leverage the mmWave communication infrastructure in 5G cellular systems for the purpose of sensing

enable the communication functionality of millimeter wave (mmWave) FMCW radar

a novel off-grid channel model is considered for millimeter-wave (mmWave) cellular systems

Multicast beamforming is known to improve spectral efficiency

studies the effect of the user hand grip on the design of beamforming codebooks for 5G millimeterwave (mmWave) mobile handsets

develop closedform solutions for optimizing the coefficient that combines communication and sensing subbeams to generate a multibeam

propose Graph Attention Spatial-Temporal Network (GASTN), a novel deep learning framework to tackle the mobile traffic forecasting problem

propose a novel transmission scheme for efficient simultaneous screen-to-camera and screento-eye communications without a need of high refresh rates

to handle such a technically challenging problem with continuous state and action spaces

assist the backscatter communications for Internet-of-Things (IoT) networks

propose a novel practical deep learning (DL) based reinforcement learning (RL) algorithm

investigates the problem of the cover problem for coded caching in wireless networks