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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.

Device-to-Device (D2D) paradigm is one of the key enablers for boosting the energy efficiency (EE) of networks. For the actualization of EE in multi-mode heterogeneous D2D networks, resource allocation should be executed accordingly. In that regard, we study resource allocation management in heterogeneous D2D networks where there is a LEO satellite and a cellular base station (BS) with multi-mode user

The perfectly partly calibrated antenna array is a frequently assumption in most of the existing array gain/phase calibration methods. In practice, however, the partly calibrated array is usually not available. In this letter, a tail optimization method for direction finding with unknown gains and phases in the presence of spatially non-uniform noise is proposed. Specifically, the unknown gain/phase

In this letter, we focus on the design of a relay selection scheme in large-scale energy-harvesting wireless sensor networks. Considering the dynamic nature required for practical networks, multiple features, including queuing state, energy level, channel quality, and location, are involved in modeling. By introducing reinforcement learning techniques, a novel relay selection scheme based on an actor-critic

In this letter, we consider the dual-hop and three-hop multiple-input multiple-output (MIMO) sensor systems using multiple Khatri-Rao space-time (M-KRST) coding at the unmanned aerial vehicles and sensor nodes. According to the tensor structure of the communication links, the signals received at the fusion center form two separate nested tensors, which satisfy a nested parallel factor (PARAFAC) model

This letter investigates user fairness in wireless powered communication networks (WPCNs) with non-orthogonal multiple access (NOMA) with the aim of maximizing the equal individual data rates. Initially, it is proposed the bisection method to obtain the optimal power allocation coefficients. Then, Lagrange dual-decomposition is considered for evaluating the optimal time-splitting ratio. Next, Newton’s

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This letter puts forth a practical non-orthogonal multiple access (NOMA)-based coordinated direct and relay transmission (CDRT) scheme, referred to as network-coded multiple access CDRT (NCMA-CDRT). We consider a two-user uplink scenario, where a near user communicates directly to a base station (BS), whereas a far user needs the assistance of a decode-and-forward relay. While prior NOMA-CDRT studies

In this letter, a novel discrete Fourier transform (DFT)-based scheme is proposed for peak to average power ratio (PAPR) reduction in filter-bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) systems. The key idea is the combination of DFT and the concept of block repetition. Different from the conventional DFT-based PAPR reduction method, the output complex-valued signal of

A backscatter-assisted relaying network (BRN) has been recently proposed to improve data rate, transmission range, and energy efficiency of D2D communications. In the BRN, as a D2D transmitter actively transmits data to a receiver in its time slot, other D2D transmitters can act as relays, i.e., helpers, through backscattering signal from the D2D transmitter to the receiver. This passive relay method

Robust hybrid beamforming is developed for millimeter wave multiple-input multiple-output (MIMO) systems. The channel state information (CSI) with correlated estimation errors is used for averaging the mutual information formulation. It is proved that the robust hybrid beamforming scheme can be solved via an Euclidean distance minimization problem as the design with the perfect CSI assumption. An alternating

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While intelligent reflecting surface (IRS) assisted wireless communication has emerged as an important research paradigm, channel state information (CSI) acquisition remains a critical challenge to design the IRS phase-shifts and yield the promised coherent beamforming gains. In this letter, we propose an IRS-assisted opportunistic beamforming (OBF) scheme under proportional fair scheduling, which

In this letter, we propose a novel low-complexity user pairing (UP) and power allocation (PA) technique utilizing the compressive sensing (CS) theory for non-orthogonal multiple access (NOMA) systems. In the proposed scheme, we formulate the joint UP and PA optimization problem in NOMA systems as a relaxed sparse $l_{1}$ -norm problem, based on the fact that a limited, i.e., ‘sparse,’ number of users

In this letter, a learning-aided resource allocation scheme based on the constrained Markov decision process (CMDP) is proposed to improve the average network energy efficiency (EE) with the constrained quality of service (QoS) in the pattern division multiple access (PDMA)-based simultaneous wireless information and power transfer (SWIPT) system. In order to solve the formulated CMDP resource allocation

Unmanned aerial vehicle (UAV) can be combined with non-orthogonal multiple access (NOMA) to achieve better performance. However, jointly optimizing the location, transmit power and decoding order for NOMA-UAV networks remains difficult, due to the change of decoding order as a result of UAV mobility. In this letter, a low-complexity scheme is proposed to maximize the sum rate of NOMA-UAV networks via

Building accurate radio frequency footprint models is an exercise often conducted to optimize the performance of mobile communication networks. Despite the large number of theoretical models, operators frequently utilize empirical radio frequency measurements taken through drive test activities. However, obtaining these measurements is an expensive activity which also, due to its discretized nature

The classic line-of-sight (LoS) MIMO systems optimize antenna spacings according to the communication distance, and the subchannels of fixed symmetric arrays are sensitive with distance variations. Under array aperture constraints, this letter shows that asymmetric array topologies can provide robust spatial multiplexing over a broad distance range. To reduce the implementation costs and power consumption

In this letter we present a physical-layer-security (PLS) experimental platform that realizes secure transmission over a two-way untrusted relaying system. A novel PLS approach called constellation overlapping is adopted to provide both confidentiality and reliability, and sophisticated protocols are developed as well to implement synchronization, channel state information (CSI) acquisition, self-interference

In this letter, we propose a novel precoding design for a multi-user multi-input-single-output (MU-MISO) communication system with the assistance of an intelligent reflecting surface (IRS). By jointly designing the precoder at the base station (BS) and the phase shift matrix at the IRS, we exploit the constructive effect of the multi-user interference (MUI) to improve the performance of the communication

Start of frame delimiter (SFD) is of critical importance for frame synchronization of packet communication systems. IEEE 802.15.4f defines the SFD as a 16-bit binary sequence and defines the preamble as a 16-bit alternating $\{+1,-1,\ldots, +1,-1\}$ sequence. In addition, direct current (DC) balance is important and always preferred in circuit design. With respect to the preamble and the DC balance

We consider localization from the received signal strength (RSS) when the transmit power and the log-distance pathloss exponent (PLE) are unknown. The unknown transmit power problem is handled by working with the difference of RSS (DRSS) from a reference node. The unknown PLE is statistically modelled as a Gaussian distributed random variable. A maximum-likelihood estimation procedure is firstly proposed

Reliable routing and efficient message delivery in vehicular ad-hoc networks (VANETs) is a significant challenge owing to underlying environment constraints, such as dynamic nature, mobility, and limited connectivity. With the increasing number of machine learning (ML) applications in wireless networks, VANETs can benefit from these data-driven predictions. In this letter, we innovate and investigate

In this letter, we consider a multicast system where a single-antenna transmitter sends a common message to multiple single-antenna users, aided by an intelligent reflecting surface (IRS) equipped with ${N}$ passive reflecting elements. Prior works on IRS have mostly assumed the availability of channel state information (CSI) for designing its passive beamforming. However, the acquisition of CSI requires

We characterize a two-phase transmission scheme for a vehicle-to-everything (V2X) network, designed for ultra-reliable low-latency communications (URLLC). In the proposed scheme, the user-plane latency period for the URLLC application is divided into two phases by a partitioning factor. First, we derive the signal to noise ratio (SNR) coverage probability of a test vehicular node in the network as

In this letter, we propose a novel way to mitigate the notorious pilot contamination in massive multiple-input multiple-output (MIMO) systems by exploiting the intelligent reflecting surfaces (IRSs). Particularly, we intentionally break the uplink (UL) and downlink (DL) channel reciprocity in time-division duplexing (TDD) systems by configuring the phases of the IRSs differently during the UL training

Non-orthogonal multiple access (NOMA) based wireless caching network (WCN) is considered as a promising technology for next-generation wireless communications since it can significantly improve the spectral efficiency. In this letter, we propose a quality of service (QoS)-oriented dynamic power allocation strategy for NOMA-WCN. In content placement phase, base station (BS) sends multiple files to helpers

Wireless energy transfer (WET) is a green enabler of low-power Internet of Things (IoT). Therein, traditional optimization schemes relying on full channel state information (CSI) are often too costly to implement due to excessive energy consumption and high processing complexity. This letter proposes a simple, yet effective, energy beamforming scheme that allows a multi-antenna power beacon (PB) to

In this letter, we propose a robust design framework for IRS-aided communication systems in the presence of user location uncertainty. By jointly designing the transmit beamforming vector at the BS and phase shifts at the IRS, we aim to minimize the transmit power subject to the worse-case quality of service (QoS) constraint, i.e., ensuring the user rate is above a threshold for all possible user location

In the interference-limited communication scenarios, the interference impairs the data transmission and further degrades the delay performance. In this letter, the stochastic delay guarantee for a wireless dual-hop network with an interference-limited relay is investigated. Considering the randomness of wireless fading in both data links and interference links, the stochastic service process provided

In this letter, we give the first attempt to reap the benefits of non-orthogonal multiple access (NOMA) incorporated in small cell networks (SCNs) with hybrid automatic repeat request (HARQ). The outage performance of the incorporated scheme NOMA-SCN is investigated thoroughly under Type I HARQ with and without storage. By using stochastic geometry, we derive closed-form outage probabilities of near

We consider a fading channel in which a multi-antenna transmitter communicates with a multi-antenna receiver through a reconfigurable intelligent surface (RIS) that is made of ${N}$ reconfigurable passive scatterers impaired by phase noise. The beamforming vector at the transmitter, the combining vector at the receiver, and the phase shifts of the ${N}$ scatterers are optimized in order to maximize

Energy beamforming has emerged as a promising technique for enhancing the energy transfer efficiency of radio-frequency (RF) enabled wireless power transfer (WPT). However, the performance of conventional energy beamforming may seriously degrade due to the non-linear RF to direct current (DC) conversion at energy receivers (ERs). To tackle this issue, this letter proposes a new time-division energy

5G mmWave communication systems have the potential to jointly estimate the positions of user equipment (UE) and mapping their propagation environments using a single base station. But such potential depends on the characteristics of the reflecting surfaces, such as a deterministic specular nature, a stochastic diffuse/scattering nature, or a combination of both. In this letter, we proposed a 5G positioning

In this letter, we consider an ultra-reliable low-latency communication (URLLC) scheme for one uplink massive single-input multiple-output (SIMO) system with three users. In our design, to enable all the users to update status information to the base station (BS) concurrently with an extremely low latency, we specifically decompose a cross 8-QAM constellation into one additive uniquely decomposable

One of the limitations of the Neural Network-based peak-to-average power ratio (PAPR) reduction methods lies in the long-term training process through a large amount of training data. To address this issue, an extreme learning machine-based (ELM) tone reservation scheme is proposed, which could achieve comparable PAPR performance with low complexity compared to other Neural Network-based algorithms

This letter focuses on the problem of pilot assignment in cell-free massive MIMO systems. Exploiting the well-known Hungarian algorithms, two procedures are proposed, one maximizing the system throughput, and the other one maximizing the fairness across users. The algorithms operate based on the knowledge of large-scale fading coefficients as a proxy for the distances between users in the system, and

In the 3.5 GHz Citizens Broadband Radio Service (CBRS), secondary users are managed by spectrum access systems (SASs) to protect incumbents from interference. Current practice requires each SAS to exchange detailed user information with other SASs, and to use a common algorithm to suspend transmissions so that an aggregate interference percentile is below a predefined threshold. We propose a simplified

This letter studies the impact of network-coded multiple access (NCMA) on the outage performance of full-duplex cooperative non-orthogonal multiple access (NOMA). In particular, we propose a network-coded cooperative NOMA (NC-CNOMA) strategy, under which user devices utilize physical-layer network coding (PNC) to demodulate signals with greater probability. The exact analytical expression of the outage

In this letter, fully convolutional denoising approximate message passing (FCDAMP) algorithm is proposed by combining fully convolutional denoising networks with learned approximate message passing networks in millimeter-wave massive MIMO system. In particular, an asymmetric neural network architecture is considered that can learn channel structure and extract noise characteristics. Simulation and

Recent studies on multiplexing concept over beamspace multiple-input-multiple-output (MIMO) can reduce the need for using phase shifters while keeping the directivity performance at similar levels. Thus, beamspace MIMO provides cost-effective and simple hardware designs for millimeter-wave (mmWave) systems. However, the number of users/streams that can be supported at the same time-frequency resource

In this letter, we address the problem of minimizing the energy consumption of disseminating a library of files to a set of Internet-of-Things (IoT) devices using an unmanned aerial vehicle (UAV). A framework is provided, in which a subset of devices are selected to receive data from a UAV and then forward the required data to other devices. Furthermore, optimal energy-efficient path selection is considered

This letter considers a two-tier downlink interference problem as a case of study, where macrocell user equipment (UE) shares the same frequency band with femtocell UE and suffers from severe cross-tier interference. Power control is one of the spectrally-efficient techniques used to mitigate the interference. However, it harms femtocell users since the femto base station reduces the transmitted power

This letter considers a wireless power transfer enabled cooperative communication system where the end-users (EUs) make use of WPT to send energy to intermediate RUs to receive information. In traditional cooperative communications systems, service provider provides the energy for cooperation and the networks are optimized from the service providers’ perspectives. In the this system, EUs compensate

In a wireless sensor network (WSN), locations of a few sensor nodes are assumed to be known at the time of deployment (known as anchor nodes) and localization techniques are used to estimate the locations of the other sensor nodes (known as target nodes). We consider a received signal strength (RSS) based localization problem for which the maximum likelihood (ML) formulation is non-convex, non-linear

In this letter, we consider the problem of increasing the spectral efficiency of a chirp-based communication system. Existing radar systems employ non-overlapping chirps with a large time-bandwidth product, and a modulation of these chirps for communications systems results in low spectral efficiency. Chirp overlapping can enhance the data rate, but it suffers from performance degradation due to intersymbol

Accurate channel state information (CSI) feedback plays a vital role in improving the performance gain of massive multiple-input multiple-output (m-MIMO) systems, where the dilemma is excessive CSI overhead versus limited feedback bandwith. By considering the noisy CSI due to imperfect channel estimation, we propose a novel deep neural network architecture, namely AnciNet, to conduct the CSI feedback

The nonlinearity of amplifiers is one of the major impairments in wireless communications. In this letter, we propose a novel estimation method for the memoryless nonlinearity of amplifiers using weighted least squares and provide its theoretical error analysis on complex Gaussian signals. In the proposed method, the input signal and weight value are obtained via numerical integration formulas. Simulation

Localization accuracy is crucial for achieving reliable location tagging for underwater missions. However, the accuracy of conventional range-free localization schemes with a mobile beacon is distorted by ship dynamics ( i.e. , pitch, roll, and heave) over oceanic conditions, and the schemes suffer from two uncertainties: beacon point and geometric shape uncertainties. To reduce the effects of these

In this letter, a new general composite fading model, namely $\alpha $ - $\eta $ - $\kappa $ - $\mathcal {F}$ model, is proposed. It considers most of the well-known propagation phenomena in wireless fading channels, such as shadowing, multi-path fading, non-linearity of the propagation medium, power of the dominant components, and power of the scattered waves. Additionally, most of the important statistical

In this letter, we study the impact of nonlinear high power amplifier (HPA) on simultaneous wireless information and power transfer (SWIPT), for a point-to-point multiple-input multiple-output communication system. We derive the rate-energy (RE) region by taking into account the HPA nonlinearities and its associated memory effects. We show that HPA significantly degrades the achievable RE region, and