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.

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

Intelligent reflecting surface (IRS) is a promising technology for beyond of the wireless communications. In fully passive IRS-assisted systems, channel estimation is challenging and should be carried out only at the base station or at the terminals since the elements of the IRS are incapable of processing signals. In this letter, we formulate a tensor-based semi-blind receiver that solves the joint

Recently, a generalization of the double-Rayleigh with line-of-sight channel fading model taking into account shadowing of the line-of-sight component has been proposed. In this letter, a closed-form analysis of the average bit error rate for MPSK/MQAM modulations is performed. The derived solution is accompanied by proposed numerically efficient approximation and all possible asymptotic expressions

Hybrid beamforming can provide rapid data transmission rates while reducing the complexity and cost of massive multiple-input multiple-output (MIMO) systems. However, channel state information (CSI) is imperfect in realistic downlink channels, introducing challenges to hybrid beamforming (HBF) design. This letter proposes an unsupervised deep learning neural network (USDNN) for hybrid beamforming to

In this letter, an optimal time allocation scheme is proposed to improve the throughput of energy harvesting based backscatter communication. The base station (BS) serving as the power supply is transmitting continuously with constant power. All the relays can harvest radio frequency (RF) energy from the transmission of BS while the user performs backscatter transmission, and then the selected relay

Intelligent reflecting surface (IRS) is a promising technology for future communication systems because of its ability to intelligently configure the wireless environment. In this letter, an IRS is equipped on an unmanned aerial vehicle (UAV) as a passive relay system, in which the UAV serves as a flexible airborne platform. Our aim is to maximize the minimum average transmission rate by jointly optimizing

A weighted Alamouti (WA) media-based modulation (WA-MBM) scheme is presented. In this scheme, the real and imaginary parts of the diagonal and anti-diagonal WA codes are interleaved and transmitted according to a well-designed MBM channel states activation approach, so that the spatial resource units in both diagonal and anti-diagonal directions of WA-MBM signal are fully exploited to achieve higher

Crosstalk among different orbital angular momentum (OAM) states, mainly caused by the atmospheric turbulence and the misalignment between the transmitting and receiving antennas, leads to the increase of error probability of OAM transmission systems. Considering the OAM-based multiple-input multiple-output (OAM-MIMO) transmission system with unaligned antennas, the error probability model is derived

As the interplay between intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) can boost both the spectrum- and the power-efficiency, this letter investigates an IRS-NOMA system, taking into account the multi-group detection and imperfect successive interference cancellation (SIC). Specifically, a group-level SIC (GSIC) is conceived to remove the decoded groups’ signals, whilst

Signal recognition has recently emerged as a key ingredient for cognitive radios with defense and industrial uses. This letter area encompasses the recognition of a broad range of transmission aspects such as modulation format, space-time mapping, channel coding form, central frequency, and data rate. Each of these aspects has been extensively researched in the literature. Only a few works addressed

This letter studies the task offloading in reputation-based consortium blockchain networks, where the tasks are transmitted to Edge Computing Servers (ECSs) due to limited resources. We propose a novel Delegated Proof of Stake (DPoS) consensus mechanism in which validation nodes (including active nodes and backup nodes) are voted based on their reputation. The incentive identifies the reputation and

Multi-radio access technologies (RATs) networks, where various heterogeneous networks (HetNets) coexist, are in service nowadays and considered a main enabling technology for future networks. In such networks, managing radio resources is challenge. In this letter, we address the problem of RATs-edge devices (EDs) association and joint power and bandwidth allocation in multi-RAT multi-homing HetNets

In recent years, beamforming has been vital to increasing the spectral and energy efficiency of the current and next-generation wireless communication systems, such as 5G, the Internet of Things (IoT), and beyond. In such a context, this letter extends the previously proposed single user, multiple-input single-output (SU-MISO) phase-transmittance radial basis function (PT-RBF) beamforming to self-organizing

Reconfigurable intelligent surface (RIS) has recently gained popularity as a promising solution for improving the signal transmission quality of wireless communications with less hardware cost and energy consumption. This letter offers a novel deep reinforcement learning (DRL) algorithm based on a location-aware imitation environment for the joint beamforming design in an RIS-aided mmWave multiple-input

In this letter, we investigate the ergodic capacity of unmanned aerial vehicle (UAV)-based free space optics (FSO) links over random foggy channel. More specifically, we derive composite probability density function (PDF) and close approximation for the moments of the composite PDF using the statistical model of a UAV-based 3D pointing error and a random foggy channel. With it, we obtain upper bound

In this letter, we investigate the problem of remote spectrum mapping with inaccessible areas, whose goal is to estimate the spatial power of the unreachable area with a small amount of sampled data in the reachable area. First, we establish a remote compressed spectrum mapping (RCSM) model considering the constraint of unreachable areas. Then, in contrast with traditional random or fixed sampling

We study the performance of a phase-noise impaired double reconfigurable intelligent surface (RIS)-aided multiuser (MU) multiple-input single-output (MISO) system under spatial correlation at both RISs and base-station (BS). The downlink achievable rate is derived in closed-form under maximum ratio transmission (MRT) precoding. In addition, we obtain the optimal phase-shift design at both RISs in closed-form

This letter investigates the performance of the satellite-terrestrial networks (STN), where a satellite tries to transmit information to a ground user through the help of multiple decode-and-forward relays and the existence of co-channel interference sources. In particular, the full-duplex technique and partial relay selection are applied at the relay to increase the total throughput at the destination

This letter considers the development of transmission strategies for the downlink of massive multiple-input multiple-output networks, with the objective of minimizing the completion time of the transmission. Specifically, we introduce a session-based scheme that splits time into sessions and allocates different rates in different sessions for the different users. In each session, one user is selected

Wireless networks are susceptible to malicious attacks, especially those involving eavesdropping. In this letter, we consider a new type of anti-eavesdropping strategy which, beyond the basic goal of increasing the secrecy rate, also wants to achieve this in the most unpredictable way for the adversary. We model the problem by a non-zero sum game where a control center (called the transmitter) must

This letter proposes an analytical framework for multi-reconfigurable intelligent surface (RIS) aided networks with limited backhaul capacity, where a simple symmetric structure is considered to explore the characteristics of multi-RIS systems with coherent transmissions. By using the Gamma distribution to model the composite RIS-aided channels, closed-form expressions in terms of the outage probability

In [1] , the minus sign in the exponents of (2) were inadvertently omitted. The correct equation appears here:

The non-Poisson point processes have the characteristics of spatial repulsion or aggregation, which well matches the realistic cellular network deployment, but challenges the fundamental analysis of the signal-to-interference ratio (SIR) distribution. In this letter, we propose a novel approximation method via decomposing the ASAPPP method (approximate SIR analysis based on the Poisson point process)

Diversity techniques have been applied for decades to overcome the effects of fading, which is one of the most challenging problems in wireless communications due to the randomness of the wireless channel. However, existing diversity techniques are resource-inefficient due to orthogonal resource usage, or they have high-power consumption due to multiple antennas and RF-chains which present an insurmountable

We consider a multi-cell grant-free uplink Internet of Things (IoT) network where multiple types of ultra-reliable and low-latency communications (URLLC) services with hard deadlines coexist. A mathematical framework is proposed for characterizing the packet loss rate (PLR) of each service given the network topology. Particularly, we derive the collision probability of resource block (RB) selection

Nonlinear distortions generated by the power amplifier (PA) will affect the performance of channel estimation thus the veracity of signal detection for ultra-wideband (UWB) orthogonal frequency-division multiplexing (OFDM) systems. The existing nonlinear cancellation techniques for tackling this problem reduce the overhead of the system due to the large number of pilot subcarriers required. As the

In this letter, we investigate the energy efficiency (EE) and spectral efficiency (SE) tradeoff problem in intelligent reflecting surface (IRS)-assisted downlink millimeter wave (mmWave) non-orthogonal multiple access (NOMA) systems, where a quality of service (QoS) requirement-based decoding strategy is proposed to address the decoding uncertainty due to the impact of the IRS on channel gains. The

In jammer-assisted covert communication scenarios, jamming signals also degrade the communication between legitimate users. Considering that it is difficult for a transmitter to obtain all the required channel state information (CSI), we propose an adaptive power control strategy with partial CSI, which decreases the outage probability while bringing more uncertainty to a warden. Specifically, we adopt

As opposed to hybrid automatic repeat request with incremental redundancy (HARQ-IR) that all the resources are occupied to resend the redundant information, cross-packet HARQ (XP-HARQ) allows the introduction of new information into retransmissions to substantially exploit the remaining resources. This letter provides a profound investigation into the outage performance of XP-HARQ. In particular, the

This letter studies hierarchical Mobile Edge Computing (MEC) with multiple sources, multiple buffer-aided relays, and one Higher-level computing Node (HN). The relays may or may not have computation resources and therefore, they randomly decide to process the received tasks or to offload them to the HN. We consider the delay in the transmission and computation buffers, and propose a novel Fairness

This letter investigates an unmanned aerial vehicle (UAV)-aided data collection system, where a UAV is deployed to gather information from terrestrial Internet of Things (IoT) devices. We aim to minimize the mission completion time by optimizing the UAV trajectory, while ensuring all the target data can be successfully collected with a given energy budget. Firstly, the problem is formulated as a constrained

Inspired by the multi-head attention (MHA) mechanism in natural language processing, this letter proposes an iterative single-head attention (ISHA) mechanism for multi-UAV path planning. The ISHA mechanism is run by a communication helper collecting the state embeddings of UAVs and distributing an attention score vector to each UAV. The attention scores computed by ISHA identify how many interactions

The multi-link operation (MLO) is a key feature of the next IEEE 802.11be Extremely High Throughput amendment. Through its adoption, it is expected to enhance users’ experience by improving throughput rates and latency. However, potential MLO gains are tied to how traffic is distributed across the multiple radio interfaces. In this letter, we introduce a traffic manager atop MLO, and evaluate different

The time-varying (TV) chaos unitary matrix based differential multiple-input multiple-output (D-MIMO) system is capable of achieving beneficial performance gains without channel state information (CSI). To elaborate a little further, the chaos sequence is embedded into the data-carrying matrices by a unique time-varying matrix. By employing differential coding during two adjacent signal blocks, a non-coherent

Semantic communications have shown its great potential to improve the transmission reliability, especially in the low signal-to-noise regime. However, resource allocation for semantic communications still remains unexplored, which is a critical issue in guaranteeing the semantic transmission reliability and the communication efficiency. To fill this gap, we investigate the spectral efficiency in the

Hybrid beamforming (HBF) design for wideband millimeter-wave (mmWave) systems has two challenges: 1) design complexity due to frequency selectivity; 2) large pilot overhead and feedback overhead due to heavy dependence on the channel information. This letter proposes a deep learning-based HBF method for wideband mmWave systems. First, we simplify the complex HBF design problem into a network optimization

In this letter, we present a new online nonlinear digital self-interference cancelation method for full duplex radios. In this method, random Fourier features transformation is performed before utilizing the least mean squares algorithm, which is applied to the residual of linear digital cancelation. The proposed solution’s performance is evaluated against prominent nonlinear cancelation schemes on

In order to cope with the problem of information leakage of existing secret-key agreement protocols under the environment of underwater acoustic channel (UAC), a covert secret-key agreement protocol called CSAP is proposed. In CSAP, the transmitter sends the uniformly distributed random messages to the receiver within a certain range of power constraints to ensure the reliability and the covertness

This letter investigates the optimization of beamforming design in a system with integrated sensing and communication (ISAC), where the base station (BS) sends signals for simultaneous multiuser communication and radar sensing. We aim at maximizing the energy efficiency (EE) of the multiuser communication while guaranteeing the sensing requirement in terms of individual radar beampattern gains. The

Inter-user interference (IUI) engineering is utilized to degrade eavesdropping and enhance the physical layer security (PLS). In this letter, we propose a secure transmission strategy via IUI engineering for an intelligent reflecting surface (IRS)-assisted non-orthogonal multiple access (NOMA) system without eavesdroppers channel state information (CSI). We aim to reduce the signal-to-interference-plus-noise

Fingerprint-based localization plays an important role in indoor location-based services, where the position information is usually collected in distributed clients and gathered in a centralized server. However, the overloaded transmission as well as the potential risk of divulging private information burdens the application. Owning the ability to address these challenges, federated learning (FL)-based

Adaptive Laguerre processing is an attractive spatio-temporal method of designing broadband beamformers. In this letter, a novel approach of directly obtaining the low-dimensional frequency-constrained matrix of adaptive spatio-temporal broadband Laguerre beamforming, namely, the non-uniform decomposition method frequency-constrained Laguerre beamformer (NUDM-FCLB), is proposed. The NUDM-FCLB utilizes

Reducing computational complexity is crucial in optimizing the phase shifts of Intelligent Reflecting Surface (IRS) systems since IRS-assisted communication systems are generally deployed with a large number of reflecting elements (REs). This letter proposes a low-complexity algorithm, designated as Dimension-wise Sinusoidal Maximization (DSM), to obtain the optimal IRS phase shifts that maximizes

This letter investigates physical layer security in intelligent reflecting surface (IRS)-aided VL communication (VLC). Under the point source assumption, we first elaborate the system model in the scenario with multiple legitimate users and one eavesdropper, where the secrecy rate maximization problem is transformed into an assignment problem by objective function approximation. Then, an iterative

Common cyclic prefix-orthogonal frequency-division multiplexing (CCP-OFDM) groups multiple OFDM symbols and uses one CP to protect them in slow time-variant channels. However, due to this particular design of CCP-OFDM systems, complex time-domain estimation algorithms are used to estimate and equalize the channel, such as maximum likelihood (ML) estimators. In this letter, we propose a novel CCP-OFDM

No simple error-rate formula is available to high-order equal-gain combining (EGC) although it is an open issue traceable to Lord Rayleigh. In this letter, we derive a polynomial error-rate formula for 4~8th EGC in independent identically-distributed (iid) Rayleigh fading, with its coefficients provided in lookup tables and its base simply related to the branch signal-to-noise ratio. The polynomial

We address the issue of reducing the peak to average power ratio (PAPR) of an orthogonal frequency division multiplexing (OFDM)-based massive multi-user (MU) multiple-input multiple-output (MIMO) downlink systems. Taking advantage of the massive degrees-of-freedom available in large-scale MIMO antenna arrays, we tackle the PAPR-aware precoding, which formulates MU precoding, OFDM modulation, and PAPR

The anchors in wireless network localization system suffer from the risk of location leakage, which may result in some catastrophic dangers. To preserve the location privacy of anchors, this letter proposes to hide the anchor’s position in range-based localization through a secret sharing method. By decomposing the private input of anchors into several secret shares and concealing it in the constant

In this letter, we consider an air-and-ground cooperative network, where several aerial base stations (ABS) help terrestrial base stations (TBS) for coverage enhancement. In this network, we first quantify the space-time coverage ratio (STCR) by fully considering the antenna models and the dynamic of the ABS, and then formulate a joint ABS deployment and TBS antenna downtilt optimization problem with

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.

On behalf of the Editorial Board of the IEEE Wireless Communications Letters, I would like to thank the Exemplary Reviewers from 2021. Below is a list of the people we like to recognize for their excellent work reviewing WCL papers and for their dedicated services and high-quality review work.

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 problem of combating the intelligent reactive jammer through a deep reinforcement learning (DRL) based hidden strategy. Existing anti-jamming researches always assume a capacity-limited adversary which is non-reactive or only launches attacks while detecting activities of the transmitter. In this letter, we consider an intelligent reactive jammer that releases track jamming

In this letter, we examine the positioning in wireless networks in the presence of IRSs. We show that IRSs can be used to localize the user when there are not enough transmitters (Base Station). To this end, we consider a network of one transmitter, few IRSs, and one receiver, whose location should be determined. Our results indicate that we can achieve the accuracy required in the localization by