Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

Presents the table of contents for this issue of the publication.

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

In this letter, we study data-aided sensing (DAS) for distributed detection in wireless sensor networks (WSNs) when sensors’ measurements are correlated. In particular, we derive a node selection criterion based on the J-divergence in DAS for reliable decision subject to a decision delay constraint. Based on the proposed J-divergence based DAS, the nodes can be selected to rapidly increase the log-likelihood

Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.

This letter investigates the resource allocation problem for multiple Unmanned Aerial Vehicles (UAVs)-served Machine-to-Machine (M2M) communications. Our goal is to maximize the sum-rate of UAVs-served M2M communications by jointly considering the transmission power, transmission mode, frequency spectrum, relay selection and the trajectory of UAVs. In order to model the uncertainty of stochastic environments

This letter proposes a novel time-asynchronous non-orthogonal multiple access (TA-NOMA) in downlink multicarrier systems. TA-NOMA applies an intentional time offset to control interference between multi-users and to improve spectral efficiency. We first propose a transceiver design for TA-NOMA, and analyze a novel type of interference caused by the intentional time offset. Based on the analysis, a

Millimeter wave (mmWave) relaying has been introduced recently as a solution to extend the coverage of mmWave communication systems and to deal with the blockage problem as well. In order for the relay probing process to identify the most suitable relays, we should maintain an intelligent trade-off between the number of probed relays and the overhead due to beamforming training (BT). This letter leverages

Unmanned aerial vehicle (UAV) can work as mobile edge computing (MEC) server in the sky to provide communication and computation services to ground terminals (GTs), due to its high mobility. However, UAV might work in complicated environment, where UAV-GT links being frequently blocked by ground obstacles, then leading to a poor quality of service (QoS) on task latency. To this problem, reconfigurable

Over-the-air computation (AirComp) leveraging the superposition property of wireless multiple-access channel (MAC), is a promising technique for effective data collection and computation of large-scale wireless sensor measurements in Internet of Things applications. Most existing work on AirComp only considered computation of spatial-and-temporal independent sensor signals, though in practice different

Age of Information (AoI) is a critical metric in status update systems as these systems require the fresh updates. This letter investigates the uplink of an Internet-of-Thing (IoT) network where ${L}$ nodes transmit their information packets to a base station. The effects of the arrival rate of packets at the nodes, the number of nodes in the system, and queue length of each node have been studied

Detecting ever increasing anomalous signals is critical to effective spectrum management. In this letter, we present a radio anomaly detection algorithm based on modified generative adversarial network (GAN). Firstly, short time fourier transform (STFT) is applied to obtain the spectrogram image from the received signal. Then, a novel encoder-GAN (E-GAN) structure is proposed by incorporating an encoder

The meta distribution (MD) of the signal to interference ratio (SIR) extends stochastic geometry analysis from spatial averages to reveals find-grained information about the network performance. There have been several efforts to establish the MD framework for the Poisson point process (PPP) and other ergodic point processes. However, the MD analysis for finite point processes is overlooked. In this

In this letter, we propose a deep learning-based dual mode orthogonal frequency division multiplexing with index modulation (DM-OFDM-IM) detector called DeepDM, which is close to optimal bit error rate (BER) performance with low computational complexity. DeepDM adopts a concatenation of convolutional neural network (CNN) and deep neural network (DNN) to detect index bits and carrier bits separately

This letter first investigates the effects of inter-frame interference (IFI) on the recent eigendecomposition-precoded (EVD) non-orthogonal frequency-division multiplexing (NOFDM) transmission scheme, where subcarrier spacing is set smaller than that of orthogonal frequency-division multiplexing (OFDM). More specifically, the system model of EVD-NOFDM is generalized to support multi-frame transmission

In this letter, we apply the model compression, i.e., network pruning, into wireless federated learning (FL) system to mitigate the local computation and communication bottlenecks. Firstly, the convergence rate and learning latency of the FL system are mathematically analyzed. Then, an optimization problem is formulated to maximize the convergence rate while guaranteeing the learning latency via jointly

The usage of programmable metasurfaces (PMs) offers a promising way to realize flexible and fully electronic beam steering. Compared to phased arrays, PMs are particularly attractive due to their potential as a cost-effective base station in wireless communication systems, effectively reducing power consumption and total system costs. Although PM has been a hot topic, development of its real-time implementations

Non-orthogonal multiple access (NOMA) has been recognized as a key driving technology for the fifth generation (5G) and beyond 5G cellular networks. For a practical downlink NOMA system with imperfect successive interference cancellation (SIC), we derive bounds on power allocation factors and formulate a minimum signal-to-interference-plus-noise ratio (SINR) difference criterion for NOMA pair formation

Wireless powered mobile edge computing (MEC) leveraging hybrid passive backscatter communications (BackCom) and active transmissions (AT) for efficient data offloading has been investigated in Internet of Things (IoT) networks, where however the delay minimization problem has not been sufficiently studied. In this letter, we propose to minimize the overall delay for data offloading and computing of

This letter studies an unmanned aerial vehicle (UAV) aided multicasting (MC) system, which is enabled by simultaneous free space optics (FSO) backhaul and power transfer. The UAV applies the power-splitting technique to harvest wireless power and decode backhaul information simultaneously over the FSO link, while at the same time using the harvested power to multicast the backhauled information over

In this letter, the probability of reaching consensus in wireless multi-agent systems (WMASs) is introduced. Starting with the connectivity probability of random graphs, and considering link outages between agents, we obtain the probability expression that a WMAS with ${N}$ agents reaches consensus. We validate the obtained exact expression via simulation results. Furthermore, we show that the corresponding

In this letter, we investigate the problem of frame synchronization in a free-space optical (FSO) communications link, where a known synch pattern is periodically embedded in the transmitted bitstream. The modulation format is on-off keying (OOK) and the electrical signal provided by the photo-detector is plagued by a mixture of thermal and shot noise with signal-dependent power. Due to atmospheric

This letter proposes a deep learning approach to detect a change in the antenna orientation of transmitter or receiver as a physical tamper attack in OFDM systems using channel state information. We treat the physical tamper attack problem as a semi-supervised anomaly detection problem and utilize a deep convolutional autoencoder (DCAE) to tackle it. The past observations of the estimated channel state

We investigate the impact of the channel statistics on the average harvested energy when directive lightwave power transfer (DLPT) is used for both indoor and outdoor environments. More specifically, for the indoor scenario, the channel randomness is subject to misalignment effects, while for the outdoor one, atmospheric turbulence is further considered. For both scenarios, closed-form expressions

The millimeter wave (mmWave) technology will perform an important role in supporting multi-gigabit services. To compensate for significant path loss and penetration loss, more antennas are equipped to establish narrow beams and provide sufficient antenna array gains. In the meantime, the hybrid beamforming (HBF) structure is utilized to provide acceptable cost and energy consumption, which also flexibly

In this letter, a novel framework to deliver critical spread out URLLC services deploying unmanned aerial vehicles (UAVs) in an out-of-coverage area is developed. To this end, the resource optimization problem, i.e., resource blocks (RBs) and power allocation, and optimal UAV deployment strategy are studied for UAV-assisted 5G networks to jointly maximize the average sum-rate and minimize the transmit

While highly directional communications may offer considerable improvements in the link data rate and over-the-air latency of high-end wearable devices, the system-level capacity trade-offs call for separate studies with respect to the employed multiple access procedures and the network dynamics in general. This letter proposes a framework for estimating the system-level area throughput in dynamic

Intelligent reflecting surface (IRS) is a promising technology to improve the performance of wireless powered communication networks (WPCNs) due to its capability to reconfigure signal propagation environments via smart reflection. In particular, the high passive beamforming gain promised by IRS can significantly enhance the efficiency of both downlink wireless power transfer (DL WPT) and uplink wireless

Age of information (AoI) and energy cost (EC) are two key metrics in real-time remote monitoring systems. In this letter, we investigate the age-energy tradeoff for a short packet-based two-hop status update system, where the packet transmission may fail because of channel errors. In this case, the source can either retransmit the failed update to save EC for sensing, or generate a new one to maintain

Recently, the physical layer security over multiple-input multiple-output (MIMO) non-orthogonal multiple-access (NOMA) systems has been taken more and more seriously. In this letter, a generalized singular value decomposition (GSVD) based MIMO-NOMA security transmission scheme is proposed. The distribution characteristics of the GSVD are applied as tools for the outage performance analysis for the

This letter presents the capacity analysis of unmanned aerial vehicles (UAVs) communications supported by flying intelligent reflecting surfaces (IRSs). In the considered system, some of the UAVs are equipped with an IRS panel that applies certain phase-shifts to the incident waves before being reflected to the receiving UAV. In contrast to existing work, this letter considers the effect of imperfect

In a previous letter, we proposed the distributed slice mobility (DSM) attack. The DSM attack can cause severe performance and economic damage to 5G networks. Attackers can launch the DSM attack by exploiting a vulnerability in the existing slice selection protocol. In this letter, we propose a DSM attack resistant slice selection protocol for 5G networks. In the proposed protocol, the network selects

In this letter, we investigate the secrecy outage performance of a cooperative non-orthogonal multiple access (NOMA) network, where a base station (BS) communicates with multiple cell-centre users and a cell-edge user in the presence of an eavesdropper. It is assumed that there is no direct link between the BS and the cell-edge user, and thus one of the cell-centre users is selected to act as a relay

This letter proposes matrix factorization (MF) based interpolation of received signal strength (RSS) from a transmitter mounted on moving robot in factory environment. For realizing the reliable wireless communication, machine learning based channel prediction methods have been intensively studied in the past decade. However, some traffic models will make the observation of RSS sequence be intermittent

Federated learning (FL) enables clients to collaboratively learn a shared task while keeping data privacy, which can be adopted at the edge of wireless networks to improve edge intelligence. In this letter, we aim to minimize the training latency of a wireless FL system for a given training loss by client scheduling. Instead of assuming that the prior information about wireless channel state and local

Beamspace multiple-input multiple-output (B-MIMO) provides a promising solution for reducing the number of required expensive radio frequency (RF) chains without obvious performance loss. However, the high computational complexities of beam selection algorithms prohibits their practical applications in 5G millimeter wave (mmWave) massive MIMO communication systems. Reviewing existing beam selection

Recent deployments of dense satellite constellations will soon lead to a paradigm shift in the availability of wireless connectivity around the globe. Optimizing the characteristics of such constellations is vital for an adequate techno-economic performance. This letter presents an analytic framework for optimizing the altitude of dense satellite constellations to maximize the downlink probability

This work considers covert communications with the aid of an intelligent reflecting surface (IRS). We jointly design the transmit power and IRS’s reflection phase shifts and amplitudes to enhance covert communication performance. To this end, we first derive the total detection error rate at a warden. We then determine the IRS’s optimal phase shifts and develop an effective one-dimensional search method

The growing concern of secure communication becomes more challenging when encountering a hybrid Full-duplex (FD) attacker possessing the dual capability to perform eavesdropping and jamming simultaneously. To analyze secrecy outage performance in the presence of such a potential attacker, the proposed work assumes complete information of the legitimate link only. It considers unavailability of complete

The nano size of the molecular transmitter limits it from storing or releasing a large number of molecules instantaneously. This physical constraint makes instantaneous release of molecules from the transmitter infeasible. In this letter, we model the molecule emission process more accurately using rectangular and exponential transmit signals and derive closed form expressions for the number of molecules

We consider the problem of channel estimation in low-resolution multiple-input multiple-output (MIMO) systems operating at millimeter wave (mmWave) and present a deep transfer learning (DTL) approach that exploits previously trained models to speed up site adaptation. The proposed model is composed of a feature extractor and a regressor, with only the regressor requiring training for the new environment

This letter aims to analyze and optimize the status update performance in a grant-free random access system with massive multiple-input multiple-output. We analyze the status update process, and derive a closed-form approximate expression of the average age of information (AoI). Then, in the asymptotic case where the large number of antennas at the base station causes the packet error rate to approach

Battery-powered unmanned aerial vehicles (UAVs) have been widely used as enablers of wireless networks. In this letter, the optimal battery weight for UAV-enabled wireless sensor networks is studied. The energy available for communication by considering propulsion energy consumption is maximized. Both numerical and approximate solutions to the optimal battery weight are derived. Numerical results show

Assuming millimeter wave (mmWave) systems, we consider an analog beamforming-based physical layer security (PLS) technique, which has considerably lower complexity compared to the digital beamforming-based PLS. Motivated by the limitations of the related prior arts assuming a uniform linear array (ULA), we employ a uniform planar array (UPA) to take advantage of both azimuth and elevation domains to

This letter investigates a device-to-device (D2D) cooperative computing system, where a user can offload part of its computation task to nearby idle users with the aid of an intelligent reflecting surface (IRS). We propose to minimize the total computing delay via jointly optimizing the computation task assignment, transmit power, bandwidth allocation, and phase beamforming of the IRS. To solve the

A cooperative non-orthogonal multiple access (CNOMA) system and an orbital angular momentum (OAM) -based multiple-input multiple-output multiplexing system is proposed as full-duplex relaying (referred to as CNOMF) by the cell center user to the cell edge user in this letter. The proposed CNOMF scheme can significantly improve the capacity of cell edge user and sum channel capacity via user-assisted

Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has been considered as a promising approach to offering extensive coverage and massive computing capacities for Internet of Things (IoT). In this letter, we propose a novel multi-UAV-assisted multi-access MEC model by allowing each IoT user to offload task bits to multiple MEC servers deployed at UAVs simultaneously for parallel computing

Low-power wide-area networks (LPWANs) are emerging technologies aiming at serving sporadic IoT traffic. While reliability of LPWANs in single-technology deployment has been well investigated, there is lack of research on performance evaluation in coexisting scenarios. To tackle this problem, we start by modeling statistics of aggregated interference from asynchronous sources over shared radio resources

This letter investigates online high-definition (HD) map caching for autonomous driving in vehicular networks when vehicles’ requests and trajectories are unknown in advance. We first introduce a general HD map model that divides each HD map into different sub-maps to accommodate different driving functionalities. Then we introduce a service model for road side units (RSUs) by considering both the

This work studies the signal-to-interference-plus-noise ratio (SINR) meta distribution (MD) in cellular networks with a focus on the Poisson model. Firstly, we show that for stationary base station point processes, arbitrary fading, and power-law path loss with exponent $\alpha $ , the base station density $\lambda $ and the noise power $\sigma ^{2}$ impact the SINR MD only through $\eta \pmb {\triangleq

In this work, in order to achieve higher spectrum efficiency, we propose a reconfigurable intelligent surface (RIS)-assisted multi-user communication uplink system. Different from previous work in which the RIS only optimizes the phase of the incident users’ signal, we propose the use of the RIS to create a virtual constellation diagram to transmit the data of an additional user. We focus on the two-user

Location information offered by external positioning systems, e.g., satellite navigation, can be used as prior information in the process of beam alignment and channel parameter estimation for reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) multiple-input multiple-output networks. Benefiting from the availability of such prior information, albeit imperfect, the beam alignment

This letter puts forth a novel way to manage interference in simultaneous wireless information and power transfer (SWIPT) systems by utilizing physical-layer network coding (PNC). We consider multi-user multiple-input single-output (MU-MISO) broadcast channels. Unlike the conventional zero-forcing scheme, the PNC-SWIPT scheme introduced in this letter does not eliminate the interfering signals at the

In this letter, we propose a deep transfer cooperative sensing (DTCS) approach in cognitive radio networks, where multiple secondary users (SUs) cooperate to detect the presence of signals from a primary user (PU) in a shared frequency band. DTCS is a cooperative spectrum sensing (CSS) framework based on unsupervised deep transfer learning. It operates on energy vectors, whose each element is a sensing

Sub-connected structure hybrid beamforming (SCS-HBF) exploiting both successful interference cancellation and zero-forcing (ZF) is tortured by frail performance when deployed for millimeter-Wave non-orthogonal multiple access (NOMA) system in a complete non-line of sight (NLOS) environment. Therefore, this letter articulates a sum-rate maximization for SCS-HBF-NOMA system built based on unique phased-ZF

In this letter, we consider the physical-layer security (PLS) in full-duplex (FD) multiuser multiple-input-multiple-output (MIMO) short-packet communications, where a base station (BS) transmits precoded signals for secure downlink multicast while receiving signals from uplink users. To quantify the PLS performance in the worst-case scenario, we consider the possible maximum wiretapping capability

In maritime scenario, the communication service, if any, is likely to be expensive due to the high-cost satellite transmissions or the very limited offshore coverage of terrestrial networks. Thus, how to achieve efficient radio resource management is one of the critical issues in maritime communication. In this letter, by exploiting the device-to-device (D2D) mechanism, we identify a general energy

In this letter, we investigate the impact of non-reciprocities in cell-free massive MIMO with non-orthogonal multiple access (NOMA). To this end, closed-form expressions for the users’ spectral efficiency (SE) are derived assuming pilot contamination, imperfect successive interference cancellation (SIC), and non-reciprocal channels. Based on the attained expressions, illustrative numerical examples