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.

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.

Millimeter wave (mmWave) communication has emerged as a key technology for achieving high data-rates and low latency in 5G networks. Radio-frequency (RF) or analog beamforming is used to provide additional (beamforming) gain to compensate for propagation phenomena in the mmWave spectrum. In this letter, we analyzed the effects of residual transceiver impairments on the performance of a single-user

Lyapunov optimization is a powerful control technique that allows the stabilisation of real or virtual queues while optimizing a performance objective. The method has become popular due to the fact that it applies a greedy optimization that does not rely on any statistical knowledge of the underlying process. Moreover, the technique includes a parameter $V$ to control the stability vs utility trade-off

We derive new bounds on the symbol error probability (SEP) of $M$ -ary phase-shift keying (MPSK) with $M>4$ , in additive white Gaussian noise. The exact SEP expressions require numerical integration or the computation of a two-dimensional function. Differently, the new SEP bounds only depend on simple one-dimensional functions and hence are easier to compute than the exact SEP. We show that the new

The key idea of non-orthogonal multiple access (NOMA) is to serve multiple users simultaneously at the same time and frequency, which can result in excessive multiple-access interference. As a crucial component of NOMA systems, successive interference cancelation (SIC) is key to combating this multiple-access interference, and is the focus of this letter, where an overview of SIC decoding order selection

In most existing works on non-orthogonal multiple access (NOMA), the decoding order of successive interference cancellation (SIC) is prefixed and based on either the users’ channel conditions or their quality of service (QoS) requirements. A recent work on NOMA assisted semi-grant-free transmission showed that the use of a more sophisticated hybrid SIC scheme can yield significant performance improvements

The linkage construction and its generalization is one of the most powerful constructions for constant dimension codes, accounting for approximately 50% of all the listed parameters. We show how to improve the linkage construction of subspace codes by two parallel versions of the linkage construction. This proof allows us to attain codes of larger size for a given minimum distance, which exceeds the

Structured Gaussian elimination (SGE) is a class of methods for efficiently solving sparse linear systems. The key idea is to first triangulate the original linear systems. The maximum component (MC)-based strategies are widely used to implement the triangulation process. The most straightforward way to find the MC is through exhaustive search. Instead, in this letter, we propose to use a disjoint-set

Extra-large massive multiple-input multiple-output (XL-MIMO) systems is a new concept, where spatial non-stationarities allow activate a high number of user equipments (UEs). This letter focuses on a grant-based random access (RA) approach in the novel XL-MIMO channel scenarios. Modifications in the classical Strongest User Collision Resolution (SUCRe) protocol have been aggregated to explore the visibility

Considering a low power wide area random access system (like LoRaWAN) where the individual transmitters are mobile, we 1) propose a way of quantifying the performance of tracking of the mobile devices, and 2) design a distributed algorithm to achieve a target tracking performance. The insights gained are then used to provide an analysis of a family of target-achieving reinforcement-learning algorithms

Energy-harvesting sliding-window constrained block codes guarantee that within any prescribed window of $\ell $ consecutive bits the constrained sequence has at least $t$ , $t \geq 1$ , 1’s. Prior art code design methods build upon the finite-state machine description of the $(\ell,t)$ constraint, but as the number of states equals $\ell $ choose $t$ , a code design becomes prohibitively complex for

Probabilistic amplitude shaping (PAS) can flexibly vary the spectral efficiency (SE) of fiber-optic systems. In this letter, we demonstrate the application of PAS to bit-wise hard decision decoding (HDD) of product codes (PCs) by finding the necessary conditions to select the PC component codes. We show that PAS with PCs and HDD yields gains up to 2.7 dB and SE improvement up to approximately 1 bit/channel

It is a challenge to apply the precoder design maximizing the mutual information with finite-alphabet inputs to practical multiple-input multiple-output (MIMO) systems, because it needs to iteratively solve an optimization problem, which is difficult to satisfy the requirement of real time. This letter develops a deep learning based precoding scheme, which employs the property of deep neural network

Cellular traffic prediction plays an important role in network management and resource utilization. However, due to the high nonlinearity and dynamic spatial-temporal correlation, it is challenging to obtain the traffic prediction accurately. In this letter, a spatial-temporal attention-convolution network is proposed to predict the citywide cellular traffic. Considering the temporal correlation of

Densification has been acknowledged as a main technological pillar for the Fifth Generation (5G) of networking, to address the foreseen huge number of connected devices owing to the wide adoption of Internet of Things (IoT), along with the unprecedented high amounts of data and requested data rates. Small cells (SCs) are at the center of such approach; however, the problem of small cell allocation

Mobile-edge computing (MEC) and wireless power transfer are technologies that can assist in the implementation of next generation wireless networks, which will deploy a large number of computational and energy limited devices. In this letter, we consider a point-to-point MEC system, where the device harvests energy from the access point’s (AP’s) transmitted signal to power the offloading and/or the

This letter presents a detailed performance analysis of the intelligent reflecting surface (IRS) aided single-input single-output communication systems, taking into account of the direct link between the transmitter and receiver. A closed-form upper bound is derived for the ergodic capacity, and an accurate approximation is obtained for the outage probability. In addition, simplified expressions are

This letter is concerned with the high peak-to-average power ratio (PAPR) problem in filtered orthogonal frequency-division multiplexing (f-OFDM) systems. Iterative clipping and filtering (ICF) is adopted as a simple and effective method to suppress PAPR but introduces signal distortion. At the receiver, we propose a sparsity-learning based iterative algorithm for distortion compensation by exploiting

Social platforms are full of rumors (i.e., unverified contents). Naturally, it is imperative but challenging to effectively determine the veracity of these rumors on popular social platforms. Previously deep learning based rumor verification schemes usually treat the issue as an independent and single task. Considering the rumor verification and stance classification are relevant tasks, we propose

This letter provides a deep learning framework for massive grant-free random access in 6G cellular internet of things (IoT) networks. A model-driven deep learning algorithm for joint activity detection and channel estimation is proposed based on the principle of approximate massage passing (AMP). This algorithm only needs to learn four key parameters, but not the whole algorithm architecture. More

The next-generation of communication systems must be capable of serving a significantly higher traffic generated by a large number of devices. To support massive connectivity over limited time-frequency resources, several non-orthogonal multiple access (NOMA) paradigms have emerged. In this context, sparse code multiple access (SCMA) based NOMA is particularly attractive due to its robustness to error-propagation

This letter focuses on the secure downlink multi-user generalized spatial modulation (MU-GSM) system based on the artificial noise (AN). Block diagonalization (BD) is firstly used to eliminate inter-user interference. In addition, the AN which has no impact on legitimate users is adopted to prevent eavesdropping for the first time in MU-GSM communication. Particularly, the proposed MU-GSM system can

In this letter, we consider the problem of channel estimation for diffusive molecular communication (MC) systems. The presence of memory in diffusive MC channels, along with channel noise caused by various sources, necessitate the development of accurate channel estimators to acquire the channel impulse response (CIR). Previous works proposed pilot-based estimators based on the maximum likelihood (ML)

In the existing non-orthogonal multiple access (NOMA) works, ordering users depending on their distances is widely used, which can provide tractable results. However, it is not accurate in dense networks with considering the line-of-sight (LoS)/non-line-of-sight (NLoS) propagation and multipath fading. Hence, the received instantaneous signal power (ISP)-based ordering is investigated in this letter

This letter proposes a novel hybrid-domain (HD) non-orthogonal multiple access (NOMA) approach to support a larger number of uplink users than the recently proposed code-domain NOMA approach, i.e., sparse code multiple access (SCMA). HD-NOMA combines the code-domain and power-domain NOMA schemes by clustering the users in small path loss (strong) and large path loss (weak) groups. The two groups are

In this letter, a code construction in the Manhattan metric with a polynomial complexity algebraic decoding algorithm is proposed. It is shown that the code construction combined with a high-order QAM modulation enjoys a better code rate compared to a binary BCH code along with a competitive decoding procedure complexity. A performance gain from the use of the proposed code construction increases with

This letter studies the multiple-input single-output (MISO) non-orthogonal multiple-access (NOMA) downlink using regularized zero-forcing (RZF) precoding with imperfect channel state information (CSI). We first propose a new user scheduling scheme based on imperfect CSI and a model to characterize the channel correlation between the weak and strong users. Then we derive an approximate expression of

In multiple-input multiple-output (MIMO) visible light communication (VLC) systems, collaborative constellation design (CC) is effective in improving performance while significantly reducing the total optical power. This letter presents the first attempt to exploit deep learning (DL) in the signal design for MIMO VLC systems using CC, namely CCNet. More specifically, we present a deep neural network

We investigate a wireless powered sensor network, in which multiple sensors generate data and send their data to a base station (BS) periodically. Each sensor first harvests energy from the BS via wireless power transfer and then uses its available energy to transmit to the BS its data. We target minimal average age of information, by optimizing the energy harvesting time and the bandwidth allocation

With the booming demand of indoor position information, Wireless signals (Wi-Fi, Bluetooth, Ultra-Wide-Band etc.) are investigated to construct Indoor Positioning System (IPS). Among these wireless signals, UWB (Ultra-Wide-Band) is recognized as the most promising technology to construct IPS with decimeter-level positioning accuracy. However, there are various objects in indoor environments, UWB signals

In this letter, a Cloud Radio Access Network-type cluster-head-driven uplink model for multiple-antenna Unmanned Aerial Vehicles (UAV) relaying schemes is presented, which enables joint Maximum Likelihood symbol detection in the UAV cluster-head and the selection of UAV sources to communicate with each other aided by UAV-based relays. A relay selection technique, named Cluster-Head-Driven Best-Link

A partial slotted curved waveguide leaky-wave antenna which can directly generate orbital angular momentum (OAM) mode-groups (MG) with high equivalent OAM order $l_{e}=\pm 40$ at 60 GHz is proposed in this letter. This partial arc slotted antenna is designed based on the circular traveling-wave antenna which can generate a single mode conventional OAM wave, so it can be termed as a partial arc transmitting

The concept of the nested array has been used widely for underdetermined far-field source localization. In this case, the enhanced degrees-of-freedom (DOFs) is often achieved by using spatial smoothing because the difference co-array of a two-level nested array behaves like a uniformly-spaced linear array (ULA). This ingenious operation cannot be used for near-field localization because the ULA behavior

Device-to-device (D2D) transmissions in wireless edge networks are promising for optimizing system-wide energy consumption and improving system service capacity. Cooperative content caching similarly serves efficiency goals for data-intensive applications in edge networks. In this work, we propose two cooperative cache replacement algorithms in D2D networks to support these techniques: i) distance-based

$2^{m}$ -ary modulation creates $m$ bit channels which are neither independent nor identical, and this causes problems when applying polar coding because polar codes are designed for independent identical channels. Different from the existing multi-level coding (MLC) and bit-interleaved coded modulation (BICM) schemes, this paper provides a convolutional polar coded modulation (CPCM) method that preserves

Optical satellite network (OSN) plays an important role in broadband applications of space-based information. For OSNs, the premise of data transmission and routing is allocating wavelength resource. However, the dynamic characteristics of OSNs, i.e., intermittent link connection and time-varying topology make it difficult to estimate wavelength requirements in OSNs. In this letter, we study wavelength

Use of low-resolution (1-4 bits) Analog-to-Digital Converters (ADCs) can reduce power consumption in Massive Multiple-Input, Multiple-Output (MIMO) receivers. Ordinary linear beamforming may suffice for low-resolution ADCs under conditions on the Signal-to-Noise Ratio (SNR) and number of antennas that may be called low but sufficient resolution. However, if the SNR increases or number of antennas decreases

In this letter, a downlink intelligent reflecting surface (IRS) enhanced millimeter-wave (mmWave) non-orthogonal multiple access (NOMA) system is considered. A joint optimization problem over active beamforming, passive beamforming and power allocation is formulated. Due to the highly coupled variables, the formulated optimization problem is non-convex. To solve this problem, an alternative optimization

This letter proposes and studies a technique for grouping the bits transmitted through a wireless channel into codewords according to their quality (SNR). It proves that splitting the bits into multiple codewords of different rates provides a higher throughput than mixing heterogeneous quality bits into fixed-rate codewords. The letter first analyzes the pros and cons of different mappings of bits

With the introduction of massive MIMO and directional transmissions, antenna configuration has arisen as a major factor influencing coverage and capacity in fifth generation mobile networks. In particular, mechanical tilting can yield performance advancements that cannot be achieved by purely electronic steering, due to the presence of grating lobes and antenna pattern attenuations. In this letter

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Novel congestion control algorithms, like Google’s TCP BBR, have been designed using wired-bottleneck models. Therefore, they do not achieve efficient performance over Wi-Fi paths due to frame-aggregation mechanisms adopted by standard IEEE 802.11n/ac/ax technologies that break the standard model. In this work, we analyze the performance characteristics of a Wi-Fi bottleneck, investigating the throughput

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

Variable-length Quantity (VLQ) is a class of universal codes widely used in integer data compression. Git-VLQ is the removing redundancy version of big-endian VLQ with high computational complexity. Little-Endian Base 128 (LEB128) is the little-endian version of VLQ. In this letter, we propose a variant of VLQ, termed Removing-Redundancy LEB128 (RR-LEB128), to eliminate the coding redundancy in little-endian

In this letter, we propose a new convert information embedded spatial modulation (SM) system for secure communications, in which the transmitter tries to send covert information to the specific receiver while keeping the unintended receiver unaware of the transmission. In the proposed system, the covert information bits are conveyed via the activated antenna index while the common information bits

Validation of network state of Network Function Virtualization Infrastructure (NFVI) under various uncertainties are of primary importance as they directly affect Service Function Chain (SFC) provisioning and its performance. SFC provisioning against the uncertainties, including variable traffic demand and failures of link and switch makes validation challenging because the number of scenarios to validate

The accuracy of positioning in ultra-wide band (UWB) systems can be improved by identifying the conditions of line-of-sight (LOS) and non-line-of-sight (NLOS) propagation and taking appropriate measures. At present, machine learning methods have already been extensively applied to NLOS identification. Unfortunately, those traditional methods are incapable of performing well in the cases of small samples

Time synchronization and node localization over a wireless sensor network (WSN) is a vital problem in applications such as Internet of Things (IoT) and context-aware pervasive systems. Addressing this problem leads to an efficient data fusion, power scheduling, bandwidth utilization, geographic routing, time-based channel sharing, and clustering among sensor nodes. In a WSN, sensor nodes utilize multi-hop

Quadrature amplitude modulation-filter-bank multi-carrier (QAM-FBMC) technology, which utilizes a non-orthogonal pulse-shaping filter, has high spectral confinement characteristics and spectral efficiency, and it is considered as a candidate waveform to replace cyclic prefix-orthogonal frequency division multiplexing (CP-OFDM). However, the QAM-FBMC system suffers from performance degradation due to