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Table of Contents IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-06-15
Presents the table of contents for this issue of the publication.
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IEEE Communications Society IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-06-15
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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IEEE Communications Society IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-06-15
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Blank Page IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-06-15
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Environment Knowledge-Aided Massive MIMO Feedback Codebook Enhancement Using Artificial Intelligence IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-06-06 Jiajia Guo, Chao-Kai Wen, Muhan Chen, Shi Jin
The autoencoder empowered by artificial intelligence has shown considerable potential in solving channel state information (CSI) feedback problems in frequency-division duplexing systems. However, this method needs to completely change the existing feedback schemes, which is difficult to deploy in the next few years. This paper proposes an environment knowledge-aided codebook-based CSI feedback framework
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Effects of Spatially Random Space Interference on Satellite-Aerial Downlink Transmission IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-06-06 Haoxing Zhang, Changhao Du, Shuai Wang, Gaofeng Pan, Jianping An
Satellite-aerial communication (SAC) is the most necessary and reliable way to bridge the aerial terminals with their remote command and control center when terrestrial relay infrastructure is unavailable. However, as an inescapable obstacle, adjacent space interference from neighboring satellites unavoidably leads to the loss of the performance of SACs. To uncover the impacts of space interference
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Outage Analysis of Cooperative Satellite-Aerial-Terrestrial Networks With Spatially Random Terminals IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-06-06 Haoxing Zhang, Gaofeng Pan, Sheng Ke, Shuai Wang, Jianping An
Due to the considerable fading arising from the long-distance transmission between satellites and terrestrial terminals as well as the complex geographic environments on the earth, aerial relays have been designed to facilitate the information delivery between the satellites and terrestrial terminals when reliable direct data transmissions cannot be achieved. In this paper, a cooperative satellite-aerial-terrestrial
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DNN-Assisted Particle-Based Bayesian Joint Synchronization and Localization IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-06-03 Meysam Goodarzi, Vladica Sark, Nebojsa Maletic, Jesús Gutiérrez Terán, Giuseppe Caire, Eckhard Grass
In this work, we propose a Deep neural network-assisted Particle Filter-based (DePF) approach to address the Mobile User (MU) joint synchronization and localization (sync&loc) problem in ultra-dense networks. In particular, DePF deploys an asymmetric time-stamp exchange mechanism between the MUs and the Access Points (APs), which, traditionally, provides us with information about the MUs’ clock offset
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Statistical Wide-Sense Curriculum Learning for Neural Network-Based Pre-Distorter in Coherent Optical Transmitters IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-06-02 Moshe Tzur, Gil Paryanti, Dan Sadot
Optical communications systems’ performance is limited by physical layer nonlinearities inherent in some of their transmitter components. In order to overcome some of these limitations, several approaches utilizing artificial neural networks to digitally pre-distort the transmitted signal have been proposed in the last few years, alongside other more classical models. However, their performance was
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Joint Channel Estimation and Signal Recovery for RIS-Empowered Multiuser Communications IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-06-02 Li Wei, Chongwen Huang, Qinghua Guo, Zhaohui Yang, Zhaoyang Zhang, George C. Alexandropoulos, Mérouane Debbah, Chau Yuen
Reconfigurable intelligent surfaces (RISs) have been recently considered as a promising candidate for energy-efficient solutions in future wireless networks. Their dynamic and low-power configuration enables coverage extension, massive connectivity, and low-latency communications. Due to a large number of unknown variables referring to the RIS unit elements and the transmitted signals, channel estimation
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Robust and Adaptive Power Allocation Techniques for Rate Splitting Based MU-MIMO Systems IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-06-02 André R. Flores, Rodrigo C. de Lamare
Rate splitting (RS) systems can better deal with imperfect channel state information at the transmitter (CSIT) than conventional approaches. However, this requires an appropriate power allocation that often has a high computational complexity, which might be inadequate for practical and large systems. To this end, adaptive power allocation techniques can provide good performance with low computational
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Joint Bayesian Channel Estimation and Data Detection for OTFS Systems in LEO Satellite Communications IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-30 Xueyang Wang, Wenqian Shen, Chengwen Xing, Jianping An, Lajos Hanzo
Lower earth orbit (LEO) satellites play an important role in the integration of space and terrestrial communication networks, which typically encounter high-mobility scenarios. It has been shown that orthogonal time frequency space (OTFS) modulation performs well in such high-mobility scenarios by transforming the time-varying channels into the delay-Doppler domain. In this paper, we develop a joint
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Constellation Design for Non-Coherent Fast-Forward Relays to Mitigate Full-Duplex Jamming Attacks IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-30 Vivek Chaudhary, Harshan Jagadeesh
With potential applications to short-packet communication, we address communication of low-latency messages in fast-fading channels under the presence of a reactive jammer. Unlike a traditional jammer, we assume a full-duplex (FD) jammer capable of detecting pre-existing countermeasures and subsequently changing the target frequency band. To facilitate reliable communication amidst a strong adversary
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An Analysis of the Error Rate Performance for Uplink Asynchronous Signal Detection in Non-Orthogonal Multiple Access IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-30 Chang Liu, Norman C. Beaulieu, Julian Cheng, Sheng Wu, Chunxiao Jiang, Hongwen Yang
We investigate multiuser detection under uplink asynchronous scenario, where the triangular successive interference cancellation (T-SIC) detection scheme is exploited. As the existing analysis was conducted under some ideal assumptions for simplicity, the asynchronous scenario is analyzed under rigorous assumptions in this paper so that important insights are revealed for practical systems. Specifically
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Reinforcement Learning-Based Intelligent Reflecting Surface Assisted Communications Against Smart Attackers IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-30 Baogang Li, Tai Shi, Wei Zhao, Ning Wang
Wireless communications are vulnerable to cyber attackers, which now have the flexibility to choose their type of attack. In this paper, combined with intelligent reflect surface (IRS), we jointly optimize base station beamforming and IRS reflected beamforming to counter smart attackers, thereby improving system security. Considering that attackers can flexibly choose their attack methods, such as
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ROFC-LF: Recursive Online Fountain Code With Limited Feedback for Underwater Acoustic Networks IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-30 Xiuxiu Liu, Xiujuan Du, Jiliang Zhang, Duoliang Han, Long Jin
Online fountain codes (OFCs) have many advantages, such as low overhead, online feedback and optimal encoding, due to the feedback of the instantaneous decoding state. This paper analyzes the characteristics of underwater acoustic networks (UANs) as well as the issues of existing OFCs applied in UANs. Aiming at these issues, two optimization objectives of OFCs are put forward for UANs. In addition
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Artificial Noise Elimination: From the Perspective of Eavesdroppers IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-30 Hong Niu, Yue Xiao, Xia Lei, Ming Xiao
Artificial noise (AN), aiming to disturb the eavesdropper while avoiding the influence on the legitimate receiver, has arisen as an excellent technology for improving the physical-layer security of wireless communications. In order to challenge AN, zero-forcing elimination (ZFE) has been introduced as a possible countermeasure to mitigate the AN for the eavesdropper at the cost of more available receive
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Empowering Base Stations With Co-Site Intelligent Reflecting Surfaces: User Association, Channel Estimation and Reflection Optimization IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-30 Yuwei Huang, Weidong Mei, Rui Zhang
Intelligent reflecting surface (IRS) has emerged as a promising technique to enhance wireless communication performance cost-effectively. The existing literature has mainly considered IRS being deployed near user terminals to improve their performance. However, this approach may incur a high cost if IRSs need to be densely deployed in the network to cater to random user locations. To avoid such high
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High-Capacity, Weather-Resilient MIMO Feeder Links in Multibeam Satellite Systems IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-25 Bassel F. Beidas
Next-generation satellite systems targeting multi-Terabit-per-second throughput require surmounting layers of design challenges. For feeder links, extremely high frequency (EHF) band is desired to overcome spectrum limitations and reduce equipment size. Multiple gateways are utilized to aggregate their bandwidths and serve as site diversity, mitigating the increased susceptibility of the EHF band to
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Joint Frame Detection and Channel Parameter Estimation for OOK Free-Space Optical Communications IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-25 Antonio Alberto D’Amico, Michele Morelli
We consider a free-space optical (FSO) communication link for packet-based transmissions over a turbulence fading channel. The modulation format is on-off keying (OOK) and a unique-word (UW) composed by a known synch pattern is periodically inserted in the data stream to identify the start of frame. Since an avalanche photo-diode (APD) is used for direct detection of the OOK symbols, the photocurrent
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Power Minimization for Uplink RIS-Assisted CoMP-NOMA Networks With GSIC IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-25 Hong Wang, Chen Liu, Zheng Shi, Yaru Fu, Rongfang Song
To accommodate the stringent requirements of massive connectivity and ultra-high throughput, both reconfigurable intelligent surface (RIS) and non-orthogonal multiple access (NOMA) have been perceived as the key techniques for future communication networks. In this paper, a versatile framework is conceived to boost transmit power efficiency for RIS-enabled multi-group NOMA networks in the presence
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Dynamic Virtual Topology Aided Networking and Routing for Aeronautical Ad-Hoc Networks IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-23 Jian Yang, Kaixuan Sun, Huasen He, Xiaofeng Jiang, Shuangwu Chen
Aeronautical Ad-hoc Networks (AANETs) have been proposed as the promising complement to terrestrial networks for promoting the global interconnection to provide in-flight network service, emergency communication, vessel traffic service, etc. However, the large network scale of AANETs may induce severe synchronization overhead when the traditional topology-based networking algorithms are adopted. Moreover
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An Extended Kalman Filter for Distance Estimation and Power Control in Mobile Molecular Communication IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-23 Dongliang Jing, Yongzhao Li, Andrew W. Eckford
In this paper, we consider a mobile molecular communication (MC) system consisting of two mobile nanomachines, a transmitter and a receiver, propelled by a positive drift velocity and Brownian motion in a realistic blood-vessel-type flow regime. Considering the nonlinear movement of the nanomachines, an extended Kalman filter is employed to estimate the distance from the transmitter. Furthermore, based
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Learning-Based User Clustering in NOMA-Aided MIMO Networks With Spatially Correlated Channels IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-23 Sharareh Kiani, Min Dong, Shahram ShahbazPanahi, Gary Boudreau, Majid Bavand
This paper considers the integration of non-orthogonal multiple access (NOMA) into massive multi-input multi-output (MIMO) systems for downlink transmission. We consider the joint design of user clustering, transmit beamforming, and power allocation to minimize the total transmit power while meeting the signal-to-interference-and-noise ratio targets. We decompose this challenging mixed-integer programming
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Table of Contents IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-17
Presents the table of contents for this issue of the publication.
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IEEE Communications Society IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-17
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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TechRxiv: Share Your Preprint Research with the World! IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-17
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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IEEE Communications Society IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-17
Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
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Blank Page IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-17
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Efficient Memory-Bounded Optimal Detection for GSM-MIMO Systems IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-20 Ke He, Le He, Lisheng Fan, Xianfu Lei, Yansha Deng, George K. Karagiannidis
We investigate the optimal signal detection problem in large-scale multiple-input multiple-output (MIMO) system with the generalized spatial modulation (GSM) scheme, which can be formulated as a closest lattice point search (CLPS). To identify invalid signals, an efficient pruning strategy is needed while searching on the GSM decision tree. However, the existing algorithms have exponential complexity
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Two-Stage Channel Estimation for Hybrid RIS Assisted MIMO Systems IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-20 Rafaela Schroeder, Jiguang He, Glauber Brante, Markku Juntti
Reconfigurable intelligent surfaces (RISs) have been proposed as a key enabler to improve the coverage of the signals and mitigate the frequent blockages in millimeter wave (mmWave) multiple-input multiple-output (MIMO) communications. However, the channel state information (CSI) acquisition is one of the major challenges for the practical deployment of the RIS. The passive RIS without any baseband
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Channel Distribution Learning: Model-Driven GAN-Based Channel Modeling for IRS-Aided Wireless Communication IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-19 Yi Wei, Ming-Min Zhao, Min-Jian Zhao
Intelligent reflecting surface (IRS) is a promising new technology that is able to create a favorable wireless signal propagation environment by collaboratively reconfiguring the passive reflecting elements yet with low hardware and energy cost. In IRS-aided wireless communication systems, channel modeling is a fundamental task for communication algorithm design and performance optimization, which
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Impact of Blocking Correlation on the Performance of mmWave Cellular Networks IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-18 Saurabh Kumar Gupta, Vikrant Malik, Abhishek K. Gupta, Jeffrey G. Andrews
In mmWave networks, a large or nearby object can obstruct multiple communication links, which results in spatial correlation in the blocking probability between a user and two or more base stations (BSs). This paper characterizes this blocking correlation and derives its impact on the signal-to-interference-plus-noise ratio (SINR) of a mmWave cellular network. We first present an exact analysis of
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New Antenna Selection Schemes for Full-Duplex Cooperative MIMO-NOMA Systems IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-18 Zahra Mobini, Mohammadali Mohammadi, Theodoros A. Tsiftsis, Zhiguo Ding, Chintha Tellambura
In this paper, we address the antenna selection (AS) problem in full-duplex (FD) cooperative non-orthogonal multiple access (NOMA) systems, where a multi-antenna FD relay bridges the connection between the multi-antenna base station and NOMA far user. Specifically, two AS schemes, namely max-U1 and max-U2, are proposed to maximize the end-to-end signal-to-interference-plus-noise ratio at either or
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Robust Design of Federated Learning for Edge-Intelligent Networks IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-18 Qiao Qi, Xiaoming Chen
Mass data traffics, low-latency wireless services and advanced artificial intelligence (AI) technologies have driven the emergence of a new paradigm for wireless networks, namely edge-intelligent networks, which are more efficient and flexible than traditional cloud-intelligent networks. Considering users’ privacy, model sharing-based federated learning (FL) that migrates model parameters but not private
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Performance of a High Power and Capacity Mobile SLIPT Scheme IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-17 Mingliang Xiong, Qingwen Liu, Shengli Zhou, Shun Han, Mingqing Liu
The increasing demands of power supply and data rate for mobile devices promote the research of simultaneous wireless information and power transfer (SWIPT). Optical SWIPT, as known as simultaneous light information and power transfer (SLIPT), has the potential for providing high-capacity communication and high-power wireless charging. However, SLIPT technologies based on light-emitting diodes have
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RIS Assisted Wireless Powered IoT Networks With Phase Shift Error and Transceiver Hardware Impairment IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-17 Zheng Chu, Jie Zhong, Pei Xiao, De Mi, Wanming Hao, Rahim Tafazolli, Alexandros P. Feresidis
Considering a reconfigurable intelligent surface (RIS) aided wireless powered Internet of Things (WP IoT) network. To address the energy-limitation issue, IoT devices in such a network can be wirelessly powered by a power station (PS) first and then connect with an access point (AP) using their own harvested energy. The RIS helps enhance energy and information receptions in the downlink wireless energy
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A Multi-Aspect Expanded Hypergraph Enabled Cross-Domain Resource Management in Satellite Networks IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-17 Qi Hao, Min Sheng, Di Zhou, Yan Shi
Satellite networks (SNs) are heterogeneous networks composed of typical functional domains, such as communication domains, observation domains, etc. Since the resources are independent among domains, and are highly dynamic with the movement of satellites, it is extremely difficult to capture the potential interaction relationship among various resources, even less to realize the coordinated scheduling
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Rack-Aware Regenerating Codes With Multiple Erasure Tolerance IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-17 Liyang Zhou, Zhifang Zhang
We study the rack-aware storage system where all storage nodes are organized in racks and within each rack the nodes can communicate freely without taxing the system bandwidth. Rack-aware regenerating codes (RRCs) were proposed for minimizing the repair bandwidth for single erasures. In the initial setting of RRCs, the repair of a single node requires the participation of all the remaining nodes in
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Proactive Traffic Offloading in Dynamic Integrated Multisatellite Terrestrial Networks IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-16 Wiem Abderrahim, Osama Amin, Mohamed-Slim Alouini, Basem Shihada
The integration between the satellite network and the terrestrial network will play a key role in the upcoming sixth-generation (6G) of mobile cellular networks thanks to the wide coverage and bandwidth offered by satellite networks. To leverage this integration, we propose a proactive traffic offloading scheme in an integrated multi-satellite terrestrial network (IMSTN) that considers the future networks’
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OFDM-Based Massive Grant-Free Transmission Over Frequency-Selective Fading Channels IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-16 Yiming Zhu, Gangle Sun, Wenjin Wang, Li You, Fan Wei, Lei Wang, Yan Chen
In massive grant-free transmission, joint user activity detection (UAD) and channel estimation (CE) is essential for data recovery at the receiver, which has been extensively researched in frequency-flat fading scenarios. However, in practical orthogonal frequency division multiplexing (OFDM)-based systems, frequency-selective fading (FSF) leads to a significant increase in the number of channel coefficients
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Hybrid Coupled Serially Concatenated Codes IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-16 Chaojie Yang, Shancheng Zhao, Xiao Ma
In this paper, we present a class of hybrid coupled serially concatenated codes (HC-SCC), in which coupling is achieved by re-encoding partial outputs from both the outer and the inner encoders. Firstly, we derive the exact density evolution (DE) equations over the binary erasure channels (BECs) for the HC-SCCs, which can be used to analyze the impact of the coupling ratios and the coupling memories
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Distributed Machine Learning Based Downlink Channel Estimation for RIS Assisted Wireless Communications IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-16 Linglong Dai, Xiuhong Wei
The downlink channel estimation requires a huge pilot overhead in the reconfigurable intelligent surface (RIS) assisted communication system. By exploiting the powerful learning ability of the neural network, the machine learning (ML) technique can be used to estimate the high-dimensional channel from a few received pilot signals at the user. However, since the training dataset collected by the single
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Improved Lower Bounds for Multi-Access Coded Caching IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-13 K. K. Krishnan Namboodiri, B. Sundar Rajan
The multi-access variant of the coded caching problem with $N$ files, $K$ users and $K$ caches, where each user has access to $L$ neighbouring caches in a cyclic wrap-around manner, is considered. A cut-set based lower bound on the optimal rate-memory trade-off of the multi-access coded caching (MACC) scheme is derived. Furthermore, an improved lower bound on the optimal rate-memory trade-off of the
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Conformal IRS-Empowered MIMO-OFDM: Channel Estimation and Environment Mapping IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-13 Yuxing Lin, Shi Jin, Michail Matthaiou, Xiaohu You
We consider the channel estimation and environment mapping problems in multiple-input multiple-output orthogonal frequency division multiplexing systems empowered by intelligent reconfigurable surfaces (IRSs). In order to acquire more in-depth environmental information, as well as, to flexibly take into account existing real-life infrastructure, we propose a novel three-dimensional conformal IRS architecture
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Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO? IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-11 Anubhab Chowdhury, Ribhu Chopra, Chandra R. Murthy
We consider a dynamic time division duplex (DTDD) enabled cell-free massive multiple-input multiple-output (CF-mMIMO) system, where each half-duplex (HD) access point (AP) is scheduled to operate in the uplink (UL) or downlink (DL) mode based on the data demands of the user equipments (UEs), with the goal of maximizing the sum UL-DL spectral efficiency (SE). We develop a new, low complexity, greedy
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Joint Power Control and Passive Beamforming in Reconfigurable Intelligent Surface Assisted User-Centric Networks IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-10 Hancheng Lu, Dan Zhao, Yazheng Wang, Chani Kong, Weidong Chen
As a promising technology with disruptive innovation, user-centric network can meet the data traffic demand and user service demand in the future mobile networks. It completely transforms the traditional cell-centric paradigm into user-centric paradigm, requiring the deployment of a large number of access points (APs). However, the massive deployment of APs leads to issues such as high hardware cost
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Improved Receivers for Optical Wireless OFDM: An Information Theoretic Perspective IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-10 Xiaozhen Liu, Jing Zhou, Nuo Huang, Wenyi Zhang
We consider performance enhancement of asymmetrically-clipped optical orthogonal frequency division multiplexing (ACO-OFDM) and related optical OFDM schemes, which are variations of OFDM in intensity-modulated optical wireless communications. Unlike most existing studies on specific designs of improved receivers, this paper investigates information theoretic limits of all possible receivers. For independent
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Hybrid Precoding for Mixture Use of Phase Shifters and Switches in mmWave Massive MIMO IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-09 Chenhao Qi, Qiang Liu, Xianghao Yu, Geoffrey Ye Li
A variable-phase-shifter (VPS) architecture with hybrid precoding for mixture use of phase shifters and switches, is proposed for millimeter wave massive multiple-input multiple-output communications. For the VPS architecture, a hybrid precoding design (HPD) scheme, called VPS-HPD, is proposed to optimize the phases according to the channel state information by alternately optimizing the analog precoder
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Low-Complexity Designs of Symbol-Level Precoding for MU-MISO Systems IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-09 Zichao Xiao, Rang Liu, Ming Li, Yang Liu, Qian Liu
Symbol-level precoding (SLP), which converts the harmful multi-user interference (MUI) into beneficial signals, can significantly improve symbol-error-rate (SER) performance in multi-user communication systems. While enjoying symbolic gain, however, the complicated non-linear symbol-by-symbol precoder design suffers high computational complexity exponential with the number of users, which is unaffordable
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A Tighter Upper Bound of the Expansion Factor for Universal Coding of Integers and Its Code Constructions IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-09 Wei Yan, Sian-Jheng Lin
In entropy coding, universal coding of integers (UCI) is a binary universal prefix code, such that the ratio of the expected codeword length to $\max \{1, H(P)\}$ is less than or equal to a constant expansion factor $K_{\mathcal {C}}$ for any probability distribution $P$ , where $H(P)$ is the Shannon entropy of $P$ . $K_{\mathcal {C}}^{*}$ is the infimum of the set of expansion factors. The optimal
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Eigendecomposition-Precoded Faster-Than-Nyquist Signaling With Index Modulation IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-09 Prakash Chaki, Takumi Ishihara, Shinya Sugiura
In this paper, we propose a precoded faster-than-Nyquist (FTN) signaling technique for time-domain single-carrier index-modulated symbol transmission. More precisely, eigenvalue decomposition (EVD) precoding is adopted for the FTN transmission of data bits modulated by single-carrier time-domain index modulation (IM). While the FTN scheme increases the spectral efficiency and data rate by increasing
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Context-Tree-Based Lossy Compression and Its Application to CSI Representation IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-05 Henrique K. Miyamoto, Sheng Yang
We propose novel compression algorithms for time-varying channel state information (CSI) in wireless communications. The proposed scheme combines (lossy) vector quantisation and (lossless) compression. First, the new vector quantisation technique is based on a class of parametrised companders applied on each component of the normalised CSI vector. Our algorithm chooses a suitable compander in an intuitively
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Interference Management of Analog Function Computation in Multicluster Networks IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-05 Haoyu Zhang, Li Chen, Nan Zhao, Yunfei Chen, F. Richard Yu
Computation over multiple access channels (CoMAC) has been proposed to solve the problem of spectrum scarcity in wireless networks, which combines communication and computation efficiently using the superposition property of wireless channels. In this paper, we consider a multi-cluster CoMAC network, whose performance is affected by the inter-cluster interference and the non-uniform fading. To minimize
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Mobile Communications, Computing, and Caching Resources Allocation for Diverse Services via Multi-Objetive Proximal Policy Optimization IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-05 Zhiyong Chen, Benshun Yin, Haoyu Zhu, Yingjiao Li, Meixia Tao, Wenjun Zhang
Mobile services are becoming more diverse, making them have different demands on communications, computing, and caching (3C) resources in mobile systems. Unlike the traditional work that considers only one type of service, this paper designs a unified framework to characterize the different kinds of services, and jointly optimizes the 3C resources of the base station (BS) and mobile devices to provide
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Diffractive RSS Based Multinetwork Aided 3D Positioning for Distributed Massive MIMO Systems IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-05 Xiaoge Wu, Ming Jiang
Massive multiple-input multiple-output (M-MIMO) aided positioning technologies have been recently recognized as promising solutions to fulfil the high accuracy requirement of indoor localization systems. In this paper, exploiting a distributed M-MIMO framework, we propose to employ a deep belief network (DBN) to analyze the received signal strengths (RSS) generated by a diffraction model, where the
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Adaptive Opportunistic Spatial Modulation for Boosting Transmit Diversity IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-05 Yuanyuan He, Jamie S. Evans
In this paper, we propose an adaptive opportunistic spatial modulation scheme (AOSM), in which, our unique opportunistic group-antenna-selection scheme is amalgamated with a simple phase alignment (PA) transmit pre-scaling to boost the transmit-diversity of SM. To characterize and analytically evaluate the AOSM, a comprehensive error performance analysis is presented with single antenna reception.
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Keep the Bursts and Ditch the Interleavers IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-02 Wei An, Muriel Médard, Ken R. Duffy
While many communications media, such as wireless and certain classes of wireline channels, typically lead to bursty errors, most decoders are designed assuming memoryless channels. Consequently, communication systems generally rely on interleaving over tens of thousands of bits to match decoder assumptions. Even for short high rate codes, awaiting sufficient data in interleaving and de-interleaving
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Estimation of Phase Noise Based on In-Band and Out-of-Band Frequency Domain Pilots IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-02 Björn Gävert, Thomas Eriksson
We present a solid foundation for the theory and practice of using pilot tones for estimation and compensation of phase noise in a communication link. We analyze several phase estimators and illustrate their pros and cons, and we derive the necessary optimal signal-to-pilot-power relationship when the transmitted power is shared between the communication signal and the pilot tone. We show that the
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Sparse Bayesian Learning Aided Estimation of Doubly-Selective MIMO Channels for Filter Bank Multicarrier Systems IEEE Trans. Commun. (IF 6.166) Pub Date : 2022-05-02 Prem Singh, Suraj Srivastava, Amrita Mishra, Aditya K. Jagannatham, Lajos Hanzo
Sparse Bayesian learning (SBL)-based channel state information (CSI) estimation schemes are developed for filter bank multicarrier (FBMC) systems using offset quadrature amplitude modulation (OQAM). Initially, an SBL-based channel estimation scheme is designed for a frequency-selective quasi-static single-input single-output (SISO)-FBMC system, relying on the interference approximation method (IAM)