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Editorial: Third Quarter 2023 IEEE Communications Surveys and Tutorials IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-08-22 Dusit Niyato
I welcome you to the third issue of the IEEE Communications Surveys and Tutorials in 2023. This issue includes 18 papers covering different aspects of communication networks. In particular, these articles survey and tutor various issues in “Wireless Communications,” “Cyber Security,” “IoT and M2M,” “Internet Technologies,” “Network Virtualization,” and “Network and Service Management and Green Communications
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Low Earth Orbit Satellite Security and Reliability: Issues, Solutions, and the Road Ahead IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-08-04 Pingyue Yue, Jianping An, Jiankang Zhang, Jia Ye, Gaofeng Pan, Shuai Wang, Pei Xiao, Lajos Hanzo
Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-increasing user demands, reduced costs, and technological progress. Since there is a lack of literature on the security and reliability issues of LEO Satellite Communication Systems (SCSs), we aim to fill this knowledge gap. Specifically, we critically appraise the inherent characteristics of LEO SCSs and elaborate
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Why Does GRSM Require the Submission of White Papers? [From the Editor] IEEE Geosci. Remote Sens. Mag. (IF 14.6) Pub Date : 2023-07-12 Paolo Gamba
As you have already guessed from the title, and in line with my editorial in the March 2023 issue, I will use my space here to address two different points. First, the reader will find a summary of the contents of this issue, which is useful to those who would like to quickly navigate the issue and read only what they are interested in. The second part of this editorial will be devoted instead to better
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Letter From the President [President’s Message] IEEE Geosci. Remote Sens. Mag. (IF 14.6) Pub Date : 2023-07-13 Mariko Burgin
Hello and nice to see you again! My name is Mariko Burgin, and I am the IEEE Geoscience and Remote Sensing Society (GRSS) President. You can reach me at president@ieee-grss.org and @GRSS_President on Twitter.
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Taking Artificial Intelligence Into Space Through Objective Selection of Hyperspectral Earth Observation Applications: To bring the “brain” close to the “eyes” of satellite missions IEEE Geosci. Remote Sens. Mag. (IF 14.6) Pub Date : 2023-07-12 Agata M. Wijata, Michel-François Foulon, Yves Bobichon, Raffaele Vitulli, Marco Celesti, Roberto Camarero, Gianluigi Di Cosimo, Ferran Gascon, Nicolas Longépé, Jens Nieke, Michal Gumiela, Jakub Nalepa
Recent advances in remote sensing hyperspectral imaging and artificial intelligence (AI) bring exciting opportunities to various fields of science and industry that can directly benefit from in-orbit data processing. Taking AI into space may accelerate the response to various events, as massively large raw hyperspectral images (HSIs) can be turned into useful information onboard a satellite; hence
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Onboard Information Fusion for Multisatellite Collaborative Observation: Summary, challenges, and perspectives IEEE Geosci. Remote Sens. Mag. (IF 14.6) Pub Date : 2023-07-12 Gui Gao, Libo Yao, Wenfeng Li, Linlin Zhang, Maolin Zhang
Onboard information fusion for multisatellites, which is based on spatial computing mode, can improve the satellites’ capability, such as the spatial–temporal coverage, detection accuracy, recognition confidence, position precision, and prediction precision for disaster monitoring, maritime surveillance, and other emergent or continuous persistent observing situations. First, we analyze the necessity
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AI Security for Geoscience and Remote Sensing: Challenges and future trends IEEE Geosci. Remote Sens. Mag. (IF 14.6) Pub Date : 2023-07-12 Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi
Recent advances in artificial intelligence (AI) have significantly intensified research in the geoscience and remote sensing (RS) field. AI algorithms, especially deep learning-based ones, have been developed and applied widely to RS data analysis. The successful application of AI covers almost all aspects of Earth-observation (EO) missions, from low-level vision tasks like superresolution, denoising
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Generative Artificial Intelligence and Remote Sensing: A perspective on the past and the future [Perspectives] IEEE Geosci. Remote Sens. Mag. (IF 14.6) Pub Date : 2023-07-12 Nirav Patel
The first phase of 2023 has been marked with an explosion of interest around generative AI systems, which generate content. This type of machine learning promises to enable the creation of synthetic data and outputs in many different modalities. OpenAI’s ChatGPT has certainly taken the world by storm and opened discourse on how the technology should be used.
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Analysis-Ready Data and FAIR-AI—Standardization of Research Collaboration and Transparency Across Earth-Observation Communities [Technical Committees] IEEE Geosci. Remote Sens. Mag. (IF 14.6) Pub Date : 2023-07-12 Dalton Lunga, Silvia Ullo, Ujjwal Verma, George Percivall, Fabio Pacifici, Ronny Hänsch
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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REACT: A New Technical Committee for Earth Observation and Sustainable Development Goals [Technical Committees] IEEE Geosci. Remote Sens. Mag. (IF 14.6) Pub Date : 2023-07-12 Irena Hajnsek, Subit Chakrabarti, Andrea Donnellan, Rabia Munsaf Khan, Carlos López-Martínez, Ryo Natsuaki, Anthony Milne, Avik Bhattacharya, Praveen Pankajakshan, Pooja Shah, Muhammad Adnan Siddique
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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Computer Vision for Earth Observation—The First IEEE GRSS Image Analysis and Data Fusion School [Technical Committees] IEEE Geosci. Remote Sens. Mag. (IF 14.6) Pub Date : 2023-07-12 Gemine Vivone, Dalton Lunga, Francescopaolo Sica, Gülşen Taşkin, Ujjwal Verma, Ronny Hänsch
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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MIMO Satellite Communication Systems: A Survey From the PHY Layer Perspective IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-07-12 Jehyun Heo, Seungwoo Sung, Hyunwoo Lee, Incheol Hwang, Daesik Hong
The satellite communications (SatCom) system is a representative technology for global coverage and seamless communications in next-generation communication systems. This paper is a survey of basic studies and recent research trends for multiple input multiple output (MIMO) SatCom. Specifically, we describe and provide the differences between terrestrial networks and SatCom. Furthermore, we categorize
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A Survey on Applications of Cache-Aided NOMA IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-07-07 Dipen Bepari, Soumen Mondal, Aniruddha Chandra, Rajeev Shukla, Yuanwei Liu, Mohsen Guizani, Arumugam Nallanathan
Contrary to orthogonal multiple-access (OMA), non-orthogonal multiple-access (NOMA) schemes can serve a pool of users without exploiting the scarce frequency or time domain resources. This is useful in meeting the future network requirements (5G and beyond systems), such as, low latency, massive connectivity, users’ fairness, and high spectral efficiency. On the other hand, content caching restricts
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Underwater Photon-Counting Systems Under Poisson Shot Noise: Rate Analysis and Power Allocation IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-07-06 Yongkang Chen, Xiaolin Zhou, Wei Ni, Xin Wang, Lajos Hanzo
Photon counting is an effective detection technique for weak optical signals in underwater optical wireless communications (UOWC). This paper proposes a new approach for power allocation in an uplink $M$ -ary pulse position modulation (PPM), photo-counting non-orthogonal multiple-access (PhC-NOMA) system. Different from existing techniques in photon-counting systems, the new approach supports consistent
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Analysis of Binary and Ternary Message Passing Decoding for Generalized LDPC Codes IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-07-05 Emna Ben Yacoub, Gianluigi Liva
The performance of generalized low-density parity-check (GLDPC) codes under binary and ternary message passing decoding (BMP/TMP) is analyzed from a density evolution (DE) perspective. At the check nodes, two types of local decoders are considered, namely optimum a-posteriori probability (APP) soft-input soft-output decoding, and bounded distance decoding (BDD). The purpose is to shed light on the
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TS-Based SWIPT in Full-Duplex Relayed NOMA With Intelligent Relay Battery Management IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-07-05 Kamal Agrawal, Shankar Prakriya, Mark F. Flanagan
This paper investigates the performance of a time-switching (TS) based cooperative non-orthogonal multiple access (NOMA) network consisting of a base station (BS), a near user (NU), a distant user (DU), and a full-duplex (FD) relay. The BS shares a direct link to the NU, while communication to the DU is assisted by a battery-aided energy harvesting FD relay. We consider a static battery energy (SBE)
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Rate-Aware User Pair Scheduling With Joint Power Allocation and Decoding Order Selection in NOMA Systems IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-07-05 Mengqi Yang, Jian Chen, Zhiguo Ding, Lu Lv, Naofal Al-Dhahir, Long Yang
To enhance the outage performance of downlink non-orthogonal multiple access (NOMA) systems, we investigate opportunistic user pair scheduling (UPS) as well as the joint power allocation and decoding order selection (PA-DOS) for the scheduled user pair. Unlike most existing literature where the UPS and PA-DOS schemes are solely driven by channel conditions, we consider the impact of both the channel
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Energy Efficient Cooperative Communications in Aggregated VLC/RF Networks With NOMA IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-07-05 Konstantinos G. Rallis, Vasilis K. Papanikolaou, Panagiotis D. Diamantoulakis, Sotiris A. Tegos, Alexis A. Dowhuszko, Mohammad-Ali Khalighi, George K. Karagiannidis
Optimizing the energy efficiency (EE) of wireless networks is one of the key priorities in the design of beyond 5G mobile technologies. In this pursuit, the use of new frequency bands, in combination with advanced multiple access protocols and cooperative communications strategies, has recently shown promising results. To this end, this paper investigates an indoor wireless network that aggregates
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Mode Selection and Resource Allocation for D2D Communications With Tradeoff of Throughput and User Satisfaction IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-07-04 Xiukui Li, Jiaxin Zhang, Xiaoyan Liu
The Device-to-Device (D2D) communication underlaying cellular networks has advantages of improving the spectral utilization and throughput. This paper studies mode selection and resource allocation scheme for D2D communications underlaying cellular networks aiming to achieve a tradeoff of throughput and user satisfaction. An offline channel state information model based on geographic location is proposed
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Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-07-04 Qiushuo Hou, Mengyuan Lee, Guanding Yu, Yunlong Cai
With the great success of deep learning (DL) in image classification, speech recognition, and other fields, more and more studies have applied various neural networks (NNs) to wireless resource allocation. Generally speaking, these artificial intelligent (AI) models are trained under some special learning hypotheses, especially that the statistics of the training data are static during the training
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U-UV Coding for Bit-Interleaved Coded Modulation IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-26 Changyu Wu, Wenhao Chen, Li Chen, Huazi Zhang
U-UV codes were recently proposed as a competent short-to-medium length coding scheme. With well designed component codes, U-UV codes can outperform similar rate cyclic redundancy check (CRC)-polar codes with the successive cancellation (SC) and the SC list (SCL) decoding. In order to improve the coded transmission spectral efficiency, this paper proposes the bit-interleaved coded modulation (BICM)
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A Survey of Public IoT Datasets for Network Security Research IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-06-23 François De Keersmaeker, Yinan Cao, Gorby Kabasele Ndonda, Ramin Sadre
Publicly available datasets are an indispensable tool for researchers, as they allow testing new algorithms on a wide range of different scenarios and making scientific experiments verifiable and reproducible. Research in IoT security is no exception. In particular, the design of traffic classification and intrusion detection solutions for network security relies on network traces obtained from real
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Distributed Learning for Uplink Cell-Free Massive MIMO Networks IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-22 Rui Wang, Weijie Dai, Yi Jiang
Cell-free massive multiple-input multiple-output (MIMO) can resolve the inter-cell interference issue in cellular networks through cooperative beamforming of the distributed access points (APs). This paper focuses on an uplink cell-free massive MIMO network and investigates novel methods to train the central processing unit (CPU), the APs, and the users in the network. To reduce the communication burden
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A Tutorial on the Tracking, Telemetry, and Command (TT&C) for Space Missions IEEE Commun. Surv. Tutor. (IF 35.6) Pub Date : 2023-06-19 Andrea Modenini, Barbara Ripani
This paper presents a tutorial on the Tracking, Telemetry, and Command (TT&C) for spacecraft and satellite missions. In particular, it provides a thorough summary of the design of the TT&C, starting from elementary system aspects and going down to the details of the on-board TT&C subsystem design, its units, and the physical layer. The paper is then complemented with a description of emerging TT&C
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Stability Region and Transmission Control of Multi-Cell Aloha Networks IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-19 Yunshan Yang, Lin Dai
As one of the most representative random-access schemes, slotted Aloha has been adopted in various wireless communication networks. A multi-cell Aloha network may easily become unstable as the inter-cell interference grows if the traffic input rates and transmission probabilities of nodes are not properly regulated. Yet how to stabilize a multi-cell Aloha network has remained largely unknown. To address
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Waveform Design and Optimization for Integrated Visible Light Positioning and Communication IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-19 Shuai Ma, Shiyu Cao, Hang Li, Songtao Lu, Tingting Yang, Youlong Wu, Naofal Al-Dhahir, Shiyin Li
In this paper, we investigate an energy efficient waveform design for integrated visible light positioning and communication (VLPC) systems by exploiting the relationship between visible light positioning (VLP) and visible light communication (VLC). We propose that the direct current component and the alternating current component of the VLPC signals are utilized for positioning and communication,
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Cluster Control and Energy Consumption Minimization for Cooperative Prediction Based Spectrum Sensing in Cognitive Radio Networks IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-19 Dawei Nie, Wenjuan Yu, Qiang Ni, Haris Pervaiz, Geyong Min
Spectrum sensing is a key technique for dynamically detecting available spectrum in cognitive radio networks (CRNs), which can introduce high resource demands such as energy consumption. In this paper, we propose a novel cluster-based cooperative sensing-after-prediction scheme where a learning cluster and a sensing cluster are jointly considered to perform cooperative prediction and sensing efficiently
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Minimization of Aerial Cost and Mission Completion Time in Multi-UAV-Enabled IoT Networks IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-16 Xingxia Gao, Xiumin Zhu, Linbo Zhai
The application of unmanned aerial vehicles (UAVs) in IoT networks, especially data collection, has received extensive attention. Due to the urgency of the mission and limitation of the network cost, the mission completion time and number of UAVs are research hotspots. Most studies mainly focus on the trajectory optimization of the UAV to shorten the mission completion time. However, under different
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Accelerating Distributed Optimization via Over-the-Air Computing IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-16 Nikos A. Mitsiou, Pavlos S. Bouzinis, Panagiotis D. Diamantoulakis, Robert Schober, George K. Karagiannidis
Distributed optimization is ubiquitous in emerging applications, such as robust sensor network control, smart grid management, machine learning, resource slicing, and localization. However, the extensive data exchange among local and central nodes may cause a severe communication bottleneck. To overcome this challenge, over-the-air computing (AirComp) is a promising medium access technology, which
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Robust Transmit Beamforming for Secure Integrated Sensing and Communication IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-15 Zixiang Ren, Ling Qiu, Jie Xu, Derrick Wing Kwan Ng
This paper studies a downlink secure integrated sensing and communication (ISAC) system, in which a multi-antenna base station (BS) transmits confidential messages to a single-antenna communication user (CU) while performing sensing on targets that may act as suspicious eavesdroppers. To ensure the quality of target sensing while preventing their potential eavesdropping, the BS combines the transmit
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Folded Polynomial Codes for Coded Distributed AA⊤-Type Matrix Multiplication IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-15 Jingke Xu, Yaqian Zhang, Libo Wang
In this paper, due to the important value in practical applications, we consider the coded distributed matrix multiplication problem of computing $AA^{\top} $ in a distributed computing system with $N$ worker nodes and a master node, where the input matrices $A$ and $A^{\top} $ are partitioned into $m$ -by- $p$ and $p$ -by- $m$ blocks of equal-size sub-matrices respectively. For effective straggler
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Channel Estimation for XL-RIS-Aided Millimeter-Wave Systems IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-15 Xiao Yu, Wenqian Shen, Rui Zhang, Chengwen Xing, Tony Q. S. Quek
Reconfigurable intelligent surface (RIS) is able to enhance the capacity of wireless communication systems with low overhead. Extremely large (XL)-RIS-aided millimeter-wave (mmWave) communication has become a promising key technique for future 6-th Generation (6G) systems. The performance gain brought in by XL-RIS relies on the accurate channel state information (CSI). However, channel estimation requires
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Optimization for Reflection and Transmission Dual-Functional Active RIS-Assisted Systems IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-15 Yanan Ma, Ming Li, Yang Liu, Qingqing Wu, Qian Liu
Reconfigurable intelligent surface (RIS) has been deemed as one of potential components of future wireless communication systems because it can adaptively manipulate the wireless propagation environment with low-cost passive devices. However, due to the severe double path loss, the traditional passive RIS can provide sufficient gain only when receivers are very close to the RIS. Moreover, RIS cannot
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Nonlinear Transceiver Design for Full-Duplex MIMO Relaying With Direct Link IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-15 Chun-Tao Lin
This paper investigates the joint transceiver design for full-duplex (FD) multiple-input multiple-output relay systems where the direct link (DL) and nonlinear successive-interference-cancellation (SIC) detection are considered. The objective is to jointly optimize the source precoder, relay precoder, and receiver such that the resultant symbol-vector error rate (SVER) is minimized. The joint design
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RIS-Assisted Self-Interference Mitigation for In-Band Full-Duplex Transceivers IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-15 Wei Zhang, Ziyu Wen, Cheng Du, Yi Jiang, Bin Zhou
The wireless in-band full-duplex (IBFD) technology can in theory double the system capacity over the conventional frequency division duplex (FDD) or time-division duplex (TDD) alternatives. But the strong self-interference of the IBFD can cause excessive quantization noise at the output of the analog-to-digital converters (ADCs), which hampers its real implementation. Fortunately, the reconfigurable
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Closed-Form Analysis of the α-Beaulieu-Xie Shadowed Fading Channel IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-14 Aleksey S. Gvozdarev
The presented research proposes the $\alpha $ -modification of the Beaulieu-Xie shadowed fading channel for wireless communications. For the assumed model the closed-form analytical description of the basic statistical characteristics is carried out (i.e., probability density function, cumulative distribution function, and their asymptotics). The derived statistical description is exemplified on the
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Sub-Connected Hybrid Precoding and Trajectory Optimization Using Deep Reinforcement Learning for Energy-Efficient Millimeter-Wave UAV Communications IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-14 Silvirianti, Soo Young Shin
In this letter, a sub-connected hybrid precoding system was designed to realize energy-efficient millimeter-Wave (mmWave) unmanned aerial vehicle (UAV) communications. Considering the limited capacity of the UAV battery, the system was jointly optimized with a UAV trajectory to increase the energy efficiency of the UAV under quality-of-service (QoS) and power budget constraints. The dynamic motion
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Recursive Processing Algorithm for Low Complexity Decoding of Polar Codes With Large Kernels IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-13 Peter Trifonov, Liudmila Karakchieva
A reduced complexity algorithm is presented for computing the log-likelihood ratios (LLRs) arising in the successive cancellation (SC) decoder for polar codes with large kernels of arbitrary dimension. The proposed algorithm exploits a recursive trellis representation of the codes generated by submatrices of the polarization kernel and enables polar codes based on large kernels to be decoded with lower
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Probabilistic Constellation Shaping for Molecular Communications IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-13 Yuankun Tang, Fei Ji, Miaowen Wen, Qianqian Wang, Chan-Byoung Chae, Lie-Liang Yang
Molecular communication (MC) is an emerging field aiming at realizing information exchange via chemical signals between nanomachines in nanonetworks. Information transmission that is energy-efficient and relies on relatively low-complexity transceiver techniques is of practical importance for MC systems. Based on the fact that constellation shaping can improve energy efficiency, in this paper, we propose
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Joint Trajectory and Radio Resource Optimization for Autonomous Mobile Robots Exploiting Multi-Agent Reinforcement Learning IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-13 Ruyu Luo, Wanli Ni, Hui Tian, Julian Cheng, Kwang-Cheng Chen
Rapid and efficient sensor data acquisition plays a critical role in the decision-making process of each robot in a multi-robot smart factory. This paper investigates the trajectory design of autonomous mobile robots (AMRs) and communication resource allocation problems in industrial Internet of Things. Specifically, by exploiting both power and spatial domains, we adopt non-orthogonal multiple access
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On Optimally Shaped Signals for Nonlinear Frequency Division Multiplexed Fiber Systems IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-13 Yu Chen, Mohammadamin Baniasadi, Majid Safari
An approximated channel model is proposed for direct signaling on the continuous spectrum of a nonlinear frequency division multiplexed (NFDM) communication system, describing the effect of noise and nonlinearity at the receiver. The optimal input distribution that maximizes the mutual information of the proposed approximated channel under the peak amplitude constraint is then studied. We present that
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Parametric Sparse Channel Estimation for RIS-Assisted Terahertz Systems IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-13 Jiao Wu, Seungnyun Kim, Byonghyo Shim
To support extremely high data rates in 6G wireless networks, reconfigurable intelligent surface (RIS)-assisted terahertz (THz) communications have gained much attention in recent years. By manipulating the phase shifts of reflecting elements, the RIS can proactively adjust the wireless propagation environment of THz systems, thereby enhancing the overall throughput significantly. To realize the full
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Capacity and Outage Probability Analysis of Faster-Than-Nyquist Cooperative NOMA IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-13 Prakash Chaki, Shinya Sugiura
This letter proposes a novel cooperative non-orthogonal multiple access (C-NOMA) based on precoded faster-than-Nyquist (FTN) signaling. The additional gain in degrees of freedom obtained from precoded FTN signaling is exploited in the context of relaying-induced diversity inherent to C-NOMA. We derive the achievable ergodic rate of the proposed scheme while also deriving a closed-form expression of
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Max-Min Fairness Precoding for Physical Layer Security With Partial Channel Knowledge IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-13 Sangmin Lee, Eunsung Choi, Jinseok Choi
We propose secure max-min fairness (MMF) precoding for a downlink multi-antenna system with multiple users and eavesdroppers. Since the problem is non-convex and non-smooth and partial channel knowledge is assumed, it is highly challenging to solve. To resolve the difficulties, we first reformulate the problem with conditional average rates, allowing to exploit the partial channel knowledge. Then,
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Active Intelligent Reflecting Surface Aided RSMA for Millimeter-Wave Hybrid Antenna Array IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-12 Penglu Liu, Yong Li, Wei Cheng, Xiaodai Dong, Limeng Dong
The active intelligent reflecting surface (IRS) can amplify the incident signal besides reflecting, thus alleviating the double-fading effect of the cascaded link. However, if the interference caused by the cascaded link cannot be effectively cancelled, the alleviated effect may result in increased interference among users, thus limiting the performance gain brought by the active IRS. To this end,
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QoE Analysis and Resource Allocation for Wireless Metaverse Services IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-12 Yuna Jiang, Jiawen Kang, Xiaohu Ge, Dusit Niyato, Zehui Xiong
The seamless and ubiquitous wireless access is crucial to the immersive experiences in the metaverse. Considering the limited communication and computing resources, how to provide metaverse services with high Quality of Experience (QoE) for users is still challenging. In this paper, an innovative QoE model for metaverse services based on the virtual distance and network effect is proposed. Especially
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An Optimal RIS Design Strategy for Jointly Improving Key Rate and Communication Performance in Quasi-Static Environments IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-12 Ya Liu, Jie Yang, Kaizhi Huang, Xiaoyan Hu, Yi Wang, Fan Wu
This letter explores a joint improvement scheme for physical-layer secret key generation rate and communication performance with the aid of a reconfigurable intelligent surface (RIS) in quasi-static environments. Some RIS elements are exploited to construct random beams for key generation, and others are designed for energy-enhanced directional beamforming to improve the legitimate users’ signal-to-noise
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L-Shape Array-Based Technique to Reduce Cross User Correlation in Massive MIMO Systems IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-12 Suresh Dahiya, Raghavendra Pal
This letter proposes a new L-shape array based technique for massive Multiple Input Multiple Output (MIMO) systems to overcome the cross user correlation (CUC) of tightly coupled users in a near line-of-sight scenario in fifth-generation massive MIMO systems without changing signal processing complexity. The performance of the scheme is validated using standard performance metrics like CUC and achievable
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Sub-Array-Based Millimeter Wave Massive MIMO Channel Estimation IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-09 Xuan Zhu, Yang Liu, Cheng-Xiang Wang
Combination of millimeter wave (mmWave) and massive multiple input multiple output (MIMO) forms a promising technology for future sixth generation networks. As the number of antennas increases, propagation channel starts yielding spherical wavefronts, for which the traditional channel estimation algorithms are no longer applicable. To overcome this technical gap, a novel MIMO channel estimation scheme
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Channel Estimation and Turbo Equalization for Coded OTFS and OFDM: A Comparison IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-09 Xiang Huang, Arman Farhang, Rong-Rong Chen
In this letter, we study joint channel estimation and turbo equalization for coded orthogonal time frequency space (OTFS) and orthogonal frequency division multiplexing (OFDM). To the best of our knowledge, this is the first study that compares performance of OTFS and OFDM coded systems using the state-of-the-art message passing (MP) and soft minimum mean square error (MMSE) equalizers, under imperfect
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MIMO Symbiotic Radio With Massive Backscatter Devices: Asymptotic Analysis and Precoding Optimization IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-08 Jingran Xu, Zhuoyin Dai, Yong Zeng
Symbiotic radio has emerged as a promising technology for spectrum- and energy-efficient wireless communications, where the passive secondary backscatter devices (BDs) reuse not only the spectrum but also the power of the active primary users to transmit their own information. In return, the primary communication links can be enhanced by the additional multipaths created by the BDs. This is known as
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Known-Interference Cancellation in Cooperative Jamming: Experimental Evaluation and Benchmark Algorithm Performance IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-08 Karel Pärlin, Taneli Riihonen, Matias Turunen, Vincent Le Nir, Marc Adrat
Physical layer security is a sought-after concept to complement the established upper layer security techniques in wireless communications. An appealing approach to achieve physical layer security is to use cooperative jamming with interference that is known to and suppressible by the legitimate receiver but unknown to, and hence not suppressible by, the eavesdropper. Suppressing known interference
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Regularization for Cholesky Decomposition in Massive MIMO Detection IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-08 Alexander Osinsky, Roman Bychkov, Mikhail Trefilov, Vladimir Lyashev, Andrey Ivanov
In this letter, we propose a new regularization approach to low-precision Cholesky decomposition. This decomposition is employed to inverse an ill-conditioned matrix in the linear detector of the Multi-User Massive Multiple Input, Multiple Output (MU-MIMO) receivers. The proposed method was implemented in half-precision format and tested in realistic scenarios generated by the QuaDRiGa 2.0 channel
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Dual-Connectivity Handover Scheme for a 5G-Enabled Ambulance IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-07 Yao Zhao, Xianchao Zhang, Xiaozheng Gao, Kai Yang, Zehui Xiong, Zhu Han
Remote first-aid treatment on ambulances is a promising application of 5G. However, there still exist gaps between the capabilities of current 5G networks and the stringent requirements of remote emergency on ambulances. Dual connectivity (DC) is an efficient technology to fill these gaps by integrating 5G millimeter wave (mmWave) with Sub-6GHz networks. In this paper, we investigate a dual-connectivity
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Optimal Adaptive Power Control for Over-The-Air Federated Edge Learning Under Fading Channels IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-07 Xichen Yu, Bingnan Xiao, Wei Ni, Xin Wang
Channel fading can have a strong impact on the convergence of over-the-air federated edge learning (OTA-FEEL). This paper develops a new and optimal power control policy to minimize the optimality gap of OTA-FEEL under any independently and identically distributed fading. Specifically, we reveal that the optimal power control policy takes a structure where the variance of the effective channel from
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Deep Reinforcement Learning Empowers Wireless Powered Mobile Edge Computing: Towards Energy-Aware Online Offloading IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-07 Xianlong Jiao, Yating Wang, Songtao Guo, Hong Zhang, Haipeng Dai, Mingyan Li, Pengzhan Zhou
Deep integration of wireless power transmission and mobile edge computing (MEC) promotes wireless powered MEC to become a new research hotspot in the field of Internet of Things. In this paper, we focus on the joint optimization problem of online offloading decision and charging resource allocation for minimizing task accomplishing time in dynamic time-varying wireless channel scenarios. The optimal
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Performance-Oriented Design for Intelligent Reflecting Surface-Assisted Federated Learning IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-07 Yapeng Zhao, Qingqing Wu, Wen Chen, Celimuge Wu, H. Vincent Poor
To efficiently exploit the massive amounts of raw data that are increasingly being generated in mobile edge networks, federated learning (FL) has emerged as a promising distributed learning technique by collaboratively training a shared learning model on edge devices. The number of resource blocks when using traditional orthogonal transmission strategies for FL linearly scales with the number of participating
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Distortion-Elimination Hybrid OFDM With Low Complexity for Optical Wireless Communications IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-07 Baolong Li, Chengsheng Pan, Simeng Feng, Wei Xu
In optical wireless communications (OWC), hybrid optical orthogonal frequency division multiplexing (O-OFDM) schemes, such as hybrid asymmetrically clipped O-OFDM (HACO-OFDM) and layered asymmetrically clipped O-OFDM (LACO-OFDM), enjoy both high power and spectral efficiency. However, due to the non-orthogonal transmission of signal components induced by the clipping distortion, successive interference
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Selection Combining Over Log-Logistic Fading Channels With Applications to Underwater Optical Wireless Communications IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-07 Yazan H. Al-Badarneh, Mustafa K. Alshawaqfeh, Osamah S. Badarneh
We study the performance of a selection combining (SC) receiver operating over independent but non-identically distributed log-logistic $(\mathcal {LL})$ fading channels. We first characterize the statistics of the output instantaneous signal-to-noise ratio (SNR) of the SC receiver. Based on the SNR statistics, we derive exact analytical expressions, in terms of multivariate Fox H-functions, for the
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Analytical Bounds for the Optimal Code Over the Reconfigurable Intelligent Surface at a Short Blocklength IEEE Wirel. Commun. Lett. (IF 6.3) Pub Date : 2023-06-07 Likun Sui, Zihuai Lin
The lower and upper bounds on the decoding error probability for the optimal code given a signal-to-noise ratio and a code rate are investigated in this letter for the reconfigurable intelligent surface (RIS) communication system at the short blocklength regime. The sphere packing technique is used to derive our main results. The Wald sequential ${t}$ -test lemma and the Riemann sum are the main tools