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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.

In this work, a Bose-Chaudhuri-Hocquenghem (BCH) code decoder based on the Meggitt algorithm is implemented for wireless body area network (WBAN) applications. Compared to other implementations based on the popular Peterson algorithm, the proposed decoder has the extra capability of checking the syndrome for the decoding result, and is able to detect 20 times more failed decoding results without introducing

A comprehensive investigation of the impact of nonzero boresight pointing error on the performance of modulating retro-reflector (MRR) free space optical (FSO) communication systems is the goal of this work. In particular, the end-to-end signal-to-noise ratio (SNR) statistical characteristics including probability density function (PDF), cumulative distribution function (CDF), moments as well as moment

In this letter, we propose a fast self-jamming cancellation (SJC) architecture for Ultra High Frequency (UHF) radio-frequency identification (RFID) interrogators. The core SJC architecture includes a Field Programmable Gate Array (FPGA) as the RFID baseband processor, a radio frequency (RF) agile transceiver which has two transmitting ports as the RF front-end, and a combiner. By detecting the amplitude

In this letter, an uplink space division multiple access scheme based on the Doppler effect is proposed for wireless multi-user communication systems. By rotating the receive antenna array or using a circular sampling method, different Doppler frequency shifts are introduced to the received signals from different directions, and then different user’s signal can be separated in frequency domain. To

In this letter, a precoded spatial modulation-aided cooperative nonorthogonal multiple access (NOMA), referred to as PC-NOMA, has been proposed for multiple-input and multiple-output (MIMO) downlink scenario. In PC-NOMA scheme, the base station (BS) broadcasts three users’ information over two time slots: in the first slot, the two near users receive data through direct links and in the second slot

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It has been long established that crowds generated by social events (e.g., sports matches, parades, fairs…) produce a high impact on cellular network service. However, to estimate such an impact, it is necessary to use data sources classically outside the mobile operator control. In this way, and following a social-aware approach, the forecasting mechanisms should be able to combine both social and

Massive multiple-input multiple-output (MIMO) is regarded as one enabling technique to improve channel capacity and energy/spectrum efficiency of 5G communications. To attain such potential benefits, accurate channel information is critical to the transmitter, which yet remains a challenging task for frequency division duplexing (FDD) systems, i.e., the channel state information (CSI) feedback tends

In this letter, we propose a novel two-stage clustering detector for spatial modulation multiple-input multiple-output (SM-MIMO) systems. Firstly, the quality of the clustering result (i.e., cluster centroids) of the conventional KMC detector will be checked through the proposed rule in the first stage. Then, with the aid of the good cluster centroids of the bad clustering result and the symmetry property

In this letter, we concern the self-decoding capability of polar-coded hybrid automatic repeat request (Polar-HARQ) schemes. The proposed self-decoding method enables the incremental redundancy (IR) based Polar-HARQ to recover all source bits solely using the retransmission codewords. It provides an extra decoding chance when the joint decoding attempt fails. With this, the final decoding success probability

In this letter, the residual-energy aware feature of a sensor node in time-varying wireless sensor networks (WSNs) is analyzed and modeled as a Markov chain, upon which the state-transition probability (STP) about the energy level of any node with undetermined and deterministic residual energy can be evaluated. Based on Markov chain and energy-efficient relay search region models, an energy-efficient

The reconfigurable intelligent surface (RIS) is considered as a promising new technology for reconfiguring wireless communication environments. To acquire the channel information accurately and efficiently, we only turn on a fraction of all the RIS elements, formulate a sub-sampled RIS channel, and design a deep learning based scheme to extrapolate the full channel information from the partial one

The letter proposes a receive diversity PLC system subject to uncorrelated Rayleigh multipath channels and corrupted by Nakagami- $m$ background noise employing $M$ -ary phase-shift keying modulation for data transmission. The estimates of the channel gains are obtained prior to data transmission by the minimum mean square estimation technique utilizing pilot symbol transmission. A suboptimal receiver

This letter investigates a learning solution for robust beamforming optimization in downlink multi-user systems. A base station (BS) identifies efficient multi-antenna transmission strategies only with imperfect channel state information (CSI) and its stochastic features. To this end, we propose a robust training algorithm where a deep neural network (DNN), which only accepts estimates and statistical

In this letter, the problem of unmanned aerial vehicle (UAV) deployment, power allocation, and bandwidth allocation is investigated for a UAV-assisted wireless system operating at terahertz (THz) frequencies. In the studied model, one UAV can service ground users using the THz frequency band. However, the highly uncertain THz channel will introduce new challenges to the UAV location, user power, and

We study the received signal strength indicator (RSSI)-based ranging performance of a cellular user in a millimeter-wave (mm-wave) network aided by reconfigurable intelligent surfaces (RISs). First, we propose an optimal RIS deployment strategy that minimizes the joint blockage probability of the user to the base station (BS) link and the user to the RIS link. Then, we provide a bound-based characterization

Recently, the approximate message passing (AMP) algorithm is advocated for overcoming the active user identification challenge in grant free (GF) massive random access (RA). However, requiring the perfect knowledge of user sparsity is a quite strong assumption of AMP algorithm in practical applications. Accordingly, we incorporate the cross validation (CV) method into the minimum mean square error

Advances in computing have resulted in an emerging need for multi-factor authentication using an amalgamation of cryptographic and physical keys. This letter presents a novel authentication approach using a combination of signal and antenna activation sequences, and most importantly, perturbed antenna array geometries. Possible degrees of freedom in perturbing antenna array geometries affected physical

Non-orthogonal multiple access systems will face serious physical layer security (PLS) problems in the present of internal eavesdropper. However, in the existing schemes, it’s difficult to always guarantee the positive secrecy rate of the system. To this end, we consider the PLS against internal eavesdropping in two-users scenario and the beamforming design and optimal power allocation problems are

In this letter, we consider a secure underlay cognitive radio network consisting of a secondary source-destination pair and a primary transmitter-receiver pair in the presence of a primary passive eavesdropper. Herein, a secondary multi-antenna full-duplex destination node acts as a jammer to the primary eavesdropper in an effort to improve the physical layer security of the primary network. In return

In this letter, we propose a media-based modulation (MBM)-aided uplink cooperative non-orthogonal multiple access (NOMA) scheme operating under hardware impairments and imperfect channel state information (CSI). In this scheme, the signal of the far user is transmitted with conventional modulation via the best pattern created from the ON/OFF status of the radio frequency (RF) mirrors. The near user

We address a key challenge of 5G networks by proposing a strategy for the resource-efficient and end-to-end allocation of compute and connectivity resources in a dynamic 5G service provisioning scenario, such that the service latency and availability requirements are guaranteed. Our heuristic algorithm shows that resource efficiency is significantly improved by processing services in the large core

The bistatic backscatter is a promising paradigm for the future internet of things network. To tackle the key challenge of strong direct emitter-reader interference, this letter proposes a novel interference cancellation scheme with minimal hardware complexity by exploiting the periodicity of sinusoidal radio frequency (RF) carrier. Based on the interference-free signal, we pursue a detailed investigation

This letter aims to reduce huge pilot overhead when estimating the reconfigurable intelligent surface (RIS) relayed wireless channel. Motivated by the compelling grasp of deep learning in tackling nonlinear mapping problems, the proposed approach only activates a part of RIS elements and utilizes the corresponding cascaded channel estimate to predict another part. Through a synthetic deep neural network

The expectation propagation (EP) algorithm has received significant attention recently due to its good performance and manageable computational complexity for large-scale inference problems, such as detection for massive multiple-input multiple-output (MIMO) systems. Its computational complexity depends mainly on how messages are represented for computation and passing . In this letter, we propose

This letter studies a joint design of transmit beamforming and fronthaul compression for the uplink cloud radio access network (C-RAN) with intelligent reflecting surface (IRS) aided wireless fronthauling. In C-RAN, a number of users communicate with baseband unit (BBU) pool through multiple remote radio heads (RRH), wherein RRHs compress the received signals by Wyner-Ziv (WZ) coding and forward the

For the purpose of emulating realistic ray-based channels more exactly, two novel sum-of-cisoids (SOC) channel simulator parameters computation strategies, i.e., the bidirectional allocation (BA) and the simplified forward allocation (FA) methods, are proposed in this letter. Compared with the classical equal power method, the asymmetric computing property of these two methods further improves the

In this letter, we consider the product of two independent and not identically distributed $\alpha $ - $\cal {F}$ variates. Specifically, novel closed-form expressions for the probability density function, the cumulative distribution function, and the $n$ -th moments for the envelope as well as the instantaneous signal-to-noise ratio (SNR) are derived. Subsequently, closed-form expressions for the

In this letter, by using the effect of sensor motion on time delay and Doppler shift measurements, a semi-definite programming (SDP) solution is developed via convex relaxation to determine the unknown source location. A novel constrained weighted least squares (CWLS) problem is formulated according to the non-recursive measurement models without any approximation. After that, semi-definite relaxation

Reconfigurable intelligent surfaces (RISs) have attracted wide interest from industry and academia since they can shape the wireless environment into a desirable form at low cost. In practice, RISs have three types of implementations: 1) reflective, where signals can be reflected to the users on the same side of the base station (BS), 2) transmissive, where signals can penetrate the RIS to serve the

A polar-coded transmission (PCT) scheme with joint channel estimation and decoding is proposed for channels with unknown channel state information (CSI). The CSI is estimated via successive cancellation (SC) decoding and the constraints imposed by the frozen bits. SC list decoding with an outer code improves performance, including resolving a phase ambiguity when using quadrature phase-shift keying

A novel device-to-device (D2D) aided uplink transmission scheme exploiting non-orthogonal multiple access (termed as D2D-UNOMA) is proposed and investigated. In D2D-UNOMA, two similar gain near users (NUs) and a far user (FU) can transmit their information to the base station (BS) in two time slots. The NUs can directly communicate with the BS, whereas the FU requires assistance of one of the NUs to

In this letter, we propose a distributed Q-learning (DQL) based joint relay selection and access control (JRSAC) scheme for Internet of Things (IoT)-oriented satellite terrestrial relay networks (STRNs) with massive IoT devices and multiple relays. Firstly, a semi-random access (SRA) architecture is proposed to improve the learning efficiency of the DQL algorithm. Subsequently, a JRSAC optimization

A novel method of jitter decomposition by 1 Dimension-convolutional neural network (1D-CNN) using jitter histogram points is proposed for decomposing in the time interval error (TIE) of oscilloscope. Unlike the traditional jitter decomposition method based on the dual-Dirac model and Gaussian mixture model (GMM), the proposed jitter decomposition can reduce complexity and improve accuracy. The proposed

Service function chain (SFC) has been recognized as one of the most important technologies that can satisfy dynamic service demands in the edge clouds. However, how to efficiently embed SFCs in the dynamic edge-cloud scenarios remains as a challenging problem. Considering different network topologies, we devise two deep reinforcement learning (DRL)-based methods for two network sizes: a deep deterministic

Free space optical (FSO) communication systems are subject to turbulence-induced fading as a result of fluctuations in the refractive index. Gamma-Gamma (GG) distribution is commonly used in the literature to characterize moderate-to-strong turbulence conditions. The performance of FSO systems is further degraded by pointing error-induced fading as a result of building sways. While the asymptotic analysis

Integrating the reconfigurable intelligent surface in a cell-free (RIS-CF) network is an effective solution to improve the capacity and coverage of future wireless systems with low cost and power consumption. The reflecting coefficients of RISs can be programmed to enhance signals received at users. This letter addresses a joint design of transmit beamformers at access points and reflecting coefficients

Hybrid beamforming can effectively reduce the cost of millimeter wave multiple-input-multiple-output (MIMO) system. However, the analog beamformer realized by the unit-norm phase shifters makes the design of the hybrid beamformers a complicated non-convex optimization problem, and prior works suffer from high computational complexity. In this letter, we focus on the single-user scenario and propose

This letter proposes a differential permutation index differential chaos shift keying (DPI-DCSK) modulation for wireless communications. The conventional PI-DCSK has the disadvantage of wasting transmission energy and the loss of system performance. In $M$ -ary DPI-DCSK, one chaotic sequence to be sent represents current modulated ${M}$ -ary symbol as well as the reference of next modulation symbol

Propagation delay based cyclic interference alignment design is proposed for general X channels with two transmitters and $K$ receivers. From the basic case with $K=3$ to the general case with arbitrary $K$ , the transmit polynomial and the PD feature of the channels are given. The corresponding receive polynomials are deduced, which show that perfect cyclic IA has been performed in $K+1$ time-slots

To improve the localization precision of unmanned aerial vehicle (UAV), a novel framework is established by jointly utilizing multiple measurements of received signal strength (RSS) from multiple base stations (BSs) and multiple points on trajectory. First, a joint maximum likelihood (ML) of exploiting both trajectory information and multi-BSs is proposed. To reduce its high complexity, two low-complexity

In this letter, we introduce a multiplex cumulative virtual emotion detection system for two-way enabled multi domain IoT environment, which avoids detection holes in all IoT domains. Formally, we define a problem whose objective is to maximize cumulative accuracy of detection holes on condition that perpendicular barriers or horizontal barriers are constructed in every domain area. After presenting

The problem of manifold ambiguity-free direction-of-arrival (DOA) estimation for an unfolded co-prime array is of prime research interest. The manifold ambiguity problem is resolved by using beamforming-like methods. However, the performance of this method is limited by the searching step, computational complexity and also fails to resolve the closely spaced sources. In order to overcome the above

Symbiotic radio (SR) backscatter is a possible low-power wireless communication technique for future Internet of Things devices. In this letter, a multiple-input-multiple-output (MIMO) SR backscatter system is proposed, where the secondary multi-antenna transmission from the backscatter device (BD) to the receiver is riding on the primary multi-antenna transmission from the transmitter to the receiver

Constructive interference (CI) precoding is a promising and efficient interference management scheme. However, the symbol-level operations required for CI precoding make this precoding scheme face a bottleneck of high computational complexity. To solve the above problem and make CI precoding applicable to high data rate transmission scenarios, in this letter, we propose a deep learning (DL)-based precoding

Existing frequency hopping (FH) techniques mainly concentrate on how to achieve robust anti-jamming while ignoring the requirement of spectrum efficiency (SE). Orbital angular momentum (OAM) shows a great application prospect for anti-jamming and multiplexing in wireless communications. To significantly increase SE and achieve robust anti-jamming of wireless communications, in this letter we propose

In smart grid, voltage control feeds back state information from sensors to controllers via wired or wireless channels to stabilize the electricity distribution. When wireless channel is applied, because of the interference among wireless sensors, scheduling is necessary for efficient and reliable data aggregations. Previous work proved that delay-tolerant Kalman filter (DTKF)-based dynamic state-aware

Channel estimation in vehicle-to-everything (V2X) communications is a challenging issue due to the fast time-varying and non-stationary characteristics of wireless channel. To grasp the complicated variations of channel with limited number of pilots in the IEEE 802.11p systems, data pilot-aided (DPA) channel estimation has been widely studied. However, the error propagation in the DPA procedure, caused

The linear minimum mean square error (LMMSE) channel estimation yields the optimal performance in terms of the mean square error (MSE). However, the high computational complexity limits its application in practical systems. To overcome this issue, this letter proposes a vector quantization approach to the LMMSE channel estimation. The LMMSE filtering matrices corresponding to some typical wireless

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