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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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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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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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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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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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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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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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Capacity-Achieving Polar-Based Codes With Sparsity Constraints on the Generator Matrices IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-05 James Chin-Jen Pang, Hessam Mahdavifar, S. Sandeep Pradhan
In general, the generator matrix sparsity is a critical factor in determining the encoding complexity of a linear code. Further, certain applications, e.g., distributed crowdsourcing schemes utilizing linear codes, require most or even all the columns of the generator matrix to have some degree of sparsity. In this paper, we leverage polar codes and the well-established channel polarization to design
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A Novel Environmentally Robust ODDM Detection Approach Using Contrastive Learning IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-05 Qingqing Cheng, Zhenguo Shi, Jinhong Yuan, Paul G. Fitzpatrick, Taka Sakurai
Deep learning (DL) demonstrates tremendous potential in high-mobility communication systems, especially from the perspective of signal detection. However, most existing DL-based detection methods are data/environment specific and the re-training process is resource intensive. To address these shortcomings, we propose a contrastive learning-based environmentally robust signal detection approach in orthogonal
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Integrating Intelligent Reflecting Surface Into Base Station: Architecture, Channel Model, and Passive Reflection Design IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-05 Yuwei Huang, Lipeng Zhu, Rui Zhang
Intelligent reflecting surface (IRS) has emerged as a cost-efficient technique to improve the wireless network’s capacity and performance. Existing works on IRS have mainly considered IRS being deployed in the environment to dynamically control the wireless channels between the base station (BS) and its served users in favor of their communications. In contrast, we propose in this paper a new integrated
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Dual-Propagation-Feature Fusion Enhanced Neural CSI Compression for Massive MIMO IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-02 Shaoqing Zhang, Wei Xu, Shi Jin, Xiaohu You, Derrick Wing Kwan Ng, Li-Chun Wang
Due to the ability of feature extraction, deep learning (DL)-based methods have been recently applied to channel state information (CSI) compression feedback in massive multiple-input multiple-output (MIMO) systems. Existing DL-based CSI compression methods are usually effective in extracting a certain type of features in the CSI. However, the CSI usually contains two types of propagation features
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Goal-Oriented Scheduling in Sensor Networks With Application Timing Awareness IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-02 Josefine Holm, Federico Chiariotti, Anders E. Kalør, Beatriz Soret, Torben Bach Pedersen, Petar Popovski
Taking inspiration from linguistics, the communications theoretical community has recently shown a significant recent interest in pragmatic, or goal-oriented, communication. In this paper, we tackle the problem of pragmatic communication with multiple clients with different, and potentially conflicting, objectives. We capture the goal-oriented aspect through the metric of Value of Information (VoI)
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Power Control With QoS Guarantees: A Differentiable Projection-Based Unsupervised Learning Framework IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-02 Mehrazin Alizadeh, Hina Tabassum
Deep neural networks (DNNs) are emerging as a potential solution to solve NP-hard wireless resource allocation problems. However, in the presence of intricate constraints, e.g., users’ quality-of-service (QoS) constraints, guaranteeing constraint satisfaction becomes a fundamental challenge. In this paper, we propose a novel unsupervised learning framework to solve the classical power control problem
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A Novel 3D Non-Stationary Massive MIMO Channel Model for Shortwave Communication Systems IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-01 Fan Lai, Cheng-Xiang Wang, Jie Huang, Rui Feng, Xiqi Gao, Fu-Chun Zheng
In this paper, a novel three-dimensional (3D) non-stationary massive multiple-input multiple-output (MIMO) channel model for shortwave communication systems is proposed. Three transmission modes, i.e., groundwave, near vertical incident skywave (NVIS), and long-distance skywave are considered to eliminate the blind area and realize the full-coverage for shortwave communication. The ionospheric absorption
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Covert Federated Learning via Intelligent Reflecting Surfaces IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-01 Jie Zheng, Haijun Zhang, Jiawen Kang, Ling Gao, Jie Ren, Dusit Niyato
Over-the-air computation (OAC) is a promising technology that can achieve rapid model aggregation by utilizing the wireless waveform superposition feature to harness the interference of multiple-access channel for wireless federated learning (FL). However, OAC-based aggregation for OAC faces critical security challenges due to unfavorable and wireless broadcast properties, such as privacy leaks and
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Optimized Design for IRS-Assisted Integrated Sensing and Communication Systems in Clutter Environments IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-01 Chikun Liao, Feng Wang, Vincent K. N. Lau
In this paper, we investigate an intelligent reflecting surface (IRS)-assisted integrated sensing and communication (ISAC) system design in a clutter environment. Assisted by an IRS equipped with a uniform planar array (UPA), a multi-antenna base station (BS) is targeted for simultaneously sensing multiple targets in the non-light-of-sight (NLoS) region and communicating with multiple communication
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Some Results for the Redundancy Bound of the Optimal Ternary AIFV Codes IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-06-01 Qi Cheng, Wei Yan, Sian-Jheng Lin, Nenghai Yu
Ternary AIFV codes are almost instantaneous fixed-to-variable length codes, and are constructed based on two code trees. It is known that the redundancy of ternary AIFV codes is no more than one. In this paper, we provide a tighter upper bound on the redundancy of the ternary Huffman codes when the greatest probability of the source $p_{max}$ is known. As a result, the redundancy of the optimal ternary
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Channel Modeling for Multi-Receiver Molecular Communication Systems IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-30 Gokberk Yaylali, Bayram Cevdet Akdeniz, Tuna Tugcu, Ali Emre Pusane
Molecular Communication via Diffusion (MCvD) is a prominent small-scale technology, which roots from the nature. With solid analytical foundations on channel response and advanced modulation techniques, molecular single-input-single-output (SISO) systems are one of the most studied molecular networks in the literature. However, the literature is yet to provide sufficient analytical channel modeling
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Age of Information in Reservation Multi-Access Networks With Stochastic Arrivals: Analysis and Optimization IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-30 Qian Wang, He Chen
This paper analyzes and optimizes the average Age of Information (AAoI) of Frame Slotted ALOHA with Reservation and Data slots (FSA-RD) in a multi-access network, where multiple users transmit their randomly generated status updates to a common access point in a framed manner. Each frame consists of one reservation slot and several data slots. The reservation slot is further split into several mini-slots
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Detection of Jamming Attacks via Source Separation and Causal Inference IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-30 Luca Arcangeloni, Enrico Testi, Andrea Giorgetti
Jamming attacks to hinder communication capabilities are becoming a critical aspect of wireless networks. A challenging issue is the detection of reactive jammers that perform spectrum sensing and attack the network only when legitimate communication is in progress. In this scenario, we introduce a novel framework for reactive jamming detection using a patrol of radio-frequency (RF) sensors external
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An Information-Theoretic Secure Group Authentication Scheme for Quantum Key Distribution Networks IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-29 Yi Luo, Hao-Kun Mao, Qiong Li, Nan Chen
Information-theoretic secure (ITS) authentication is an essential part of a quantum key distribution (QKD) system. In the QKD network, the authentication scheme based on the ITS QKD keys pre-shared by the QKD system. However, such a scheme is subject to the limitation that consumes a significant amount of authentication keys when the scale and communication requirements of QKD networks grow. To address
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Application of Guessing to Sequential Decoding of Polarization-Adjusted Convolutional (PAC) Codes IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-29 Mohsen Moradi
Despite the extreme error-correction performance, the amount of computation of sequential decoding of the polarization-adjusted convolutional (PAC) codes is random. In sequential decoding of convolutional codes, the cutoff rate denotes the region between rates whose average computational complexity of decoding is finite and those which is infinite. In this paper, by benefiting from the polarization
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AttentionCode: Ultra-Reliable Feedback Codes for Short-Packet Communications IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-29 Yulin Shao, Emre Ozfatura, Alberto G. Perotti, Branislav M. Popović, Deniz Gündüz
Ultra-reliable short-packet communication is a major challenge in future wireless networks with critical applications. To achieve ultra-reliable communications beyond 99.999%, this paper envisions a new interaction-based communication paradigm that exploits feedback from the receiver. We present AttentionCode, a new class of feedback codes leveraging deep learning (DL) technologies. The underpinnings
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Data-Aided CSI Estimation Using Affine-Precoded Superimposed Pilots in Orthogonal Time Frequency Space Modulated MIMO Systems IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-29 Anand Mehrotra, Suraj Srivastava, Aditya K. Jagannatham, Lajos Hanzo
An orthogonal affine-precoded superimposed pilot (AP-SIP)-based architecture is developed for the cyclic prefix (CP)-aided single input single output (SISO) and multiple input multiple output (MIMO) orthogonal time frequency space (OTFS) systems relying on arbitrary transmitter-receiver (Tx-Rx) pulse shaping. The data and pilot symbol matrices are affine-precoded and superimposed in the delay Doppler
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Deep Learning-Based Joint Pilot Design and Channel Estimation for OFDM Systems IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-29 Heng Fu, Weijian Si, Il-Min Kim
We propose a non-uniform joint pilot design and channel estimation (JPDCE) scheme in closed-loop orthogonal frequency-division multiplexing (OFDM) systems. Specifically, the encoder of the proposed JPDCE scheme is composed of two sub-networks which are used for pilot location assignment and pilot power allocation, respectively. To ensure accurate learning of the pilots, the OFDM block consisting of
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Strategies for Optimal Transmission and Delay Reduction in Dynamic Index Coding Problem IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-29 Mohammad Hadi, Mohammad Mahdi Mojahedian, Mohammad Reza Aref, Mohammad Reza Pakravan
Dynamic index coding is a practical generalization of conventional index coding that deals with real dynamic traffic streams. We identify the code-constrained capacity region of a dynamic index coding problem with a complete bi-directional side information graph and introduce the performance metric of dynamic index coding gain to measure how dynamic index coding reduces the required data transmissions
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An Approximate Maximum Likelihood Method for the Joint Estimation of Range and Doppler of Multiple Targets in OFDM-Based Radar Systems IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-29 Michele Mirabella, Pasquale Di Viesti, Alessandro Davoli, Giorgio M. Vitetta
In this manuscript, an innovative method for the detection and the estimation of multiple targets in a radar system employing orthogonal frequency division multiplexing is illustrated. The core of this method is represented by a novel algorithm for detecting multiple superimposed two-dimensional complex tones in the presence of noise and estimating their parameters. This algorithm is based on a maximum
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Joint Blind Reconstruction of the Cyclic Codes and Self-Synchronous Scramblers in a Noisy Environment IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-26 Yong Ding, Zhiping Huang, Jing Zhou
Reverse analysis of the intercepted signal to reconstruct the communication scheme used by the transmitter is a key problem in the non-cooperative context. In this paper, we propose a new algorithm for the joint blind reconstruction of the cyclic codes and self-synchronous scramblers directly using soft-decision sequences. First, we derive the conclusion that if the parity polynomial of the factor
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A New Approach to Deriving Closed-Form Bit Error Probability Expressions of MPSK Signals IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-26 Yuhang Jia, Zixiong Wang, Jinlong Yu, Pooi-Yuen Kam
In conventional approach, the bit error probability (BEP) expressions of $M$ -ary phase-shift keying (MPSK) signals over additive white Gaussian noise (AWGN) channel are derived by averaging error probabilities for all bits of MPSK symbol. The closed-form BEP expressions of MPSK signals over AWGN channel can also be derived by using the weighted conditional symbol error probability (SEP) expressions
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Robust Max-Min Fairness Transmission Design for IRS-Aided Wireless Network Considering User Location Uncertainty IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-26 Taotao Ji, Meng Hua, Chunguo Li, Yongming Huang, Luxi Yang
In this paper, we propose a robust max-min fairness transmission design for intelligent reflecting surface (IRS)-aided wireless network in the presence of user location uncertainty. In particular, the non-isotropic reflection property for the IRS element is considered. We investigate the joint design of the active transmit beamformer at the base station (BS) and the passive phase shift matrix along
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Double RIS-Assisted MIMO Systems Over Spatially Correlated Rician Fading Channels and Finite Scatterers IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-26 Ha An Le, Trinh Van Chien, Van Duc Nguyen, Wan Choi
This paper investigates double RIS-assisted MIMO communication systems over Rician fading channels with finite scatterers, spatial correlation, and the existence of a double-scattering link between the transceiver. First, the statistical information is driven in closed form for the aggregated channels, unveiling various influences of the system and environment on the average channel power gains. Next
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Value of Service Maximization in Integrated Localization and Communication System Through Joint Resource Allocation IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-26 Biwei Li, Xianbin Wang, Yan Xin, Edward Au
The rapid proliferation of smart devices and Internet of Things (IoT) applications have brought significantly increased demands for concurrent sensing, localization and communication services. To achieve multiple functions concurrently, new unified wireless systems including integrated localization and communication (ILAC) and integrated sensing and communication (ISAC) are facing the fundamental challenge
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Impact of Channel Aging on Dual-Function Radar-Communication Systems: Performance Analysis and Resource Allocation IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-26 Jie Chen, Xianbin Wang, Ying-Chang Liang
In conventional dual-function radar-communication (DFRC) systems, the radar and communication channels are routinely estimated at fixed time intervals based on their worst-case operation scenarios. Such situation-agnostic repeated estimations cause significant training overhead and dramatically degrade the system performance, especially for applications with dynamic sensing/communication demands and
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Coverage Analysis of SAGIN With Sectorized Beam Pattern Under Shadowed-Rician Fading Channels IEEE Trans. Commun. (IF 8.3) Pub Date : 2023-05-26 Qian Chen, Weixiao Meng, Shuai Han, Cheng Li, Tony Q. S. Quek
Space-air-ground integrated networks (SAGIN) have become a research hotspot facing the next generation of communications. The theoretical analysis for non-terrestrial networks (NTN) is significant before applying them in practical scenarios, but the existing works failed to provide a general analysis approach for NTN. Against this background, multiple satellites and civil aircrafts (CAs) are modeled