发布求助
文献互助 智能选刊 最新文献

IEEE Communications Letters最新文献

筛选
英文 中文
Task-Oriented Single- and Multi-Source Semantic Source Coding 面向任务的单源和多源语义源编码
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-03-26 DOI: 10.1109/LCOMM.2025.3554652
Licheng Chen;Yan Li;Yunquan Dong
{"title":"Task-Oriented Single- and Multi-Source Semantic Source Coding","authors":"Licheng Chen;Yan Li;Yunquan Dong","doi":"10.1109/LCOMM.2025.3554652","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3554652","url":null,"abstract":"Semantic communication aims at conveying semantic features rather than transmitting lossless data. The development of semantic communication is greatly hindered due to the lack of a general mathematical model for semantics, i.e., the absence of a measure of task-oriented source information. To address this problem, we propose a task-oriented concept for source information validity and source compression algorithms. Specifically, we consider semantic communication models in single- and multi-source systems and use the semantic context as well as correlation among sources to reduce redundant transmissions of information. We also study the relationship of code rates between Shannon, distributed, and semantic source coding, detailing the properties of the task and source under equal rates. Simulation results using public datasets demonstrate the validity and feasibility of the proposed semantic source coding algorithm across multiple communication tasks.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1107-1111"},"PeriodicalIF":3.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143938011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Joint AP Scheduling and Power Allocation Based on Synergistic DRL for Cell-Free Massive MIMO 基于协同DRL的无小区大规模MIMO联合AP调度与功率分配
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-03-26 DOI: 10.1109/LCOMM.2025.3554179
Jisong Xu;Chaowei Wang;Danhao Deng;Yehao Li;Mingliang Pang;Zhi Zhang;Dongming Wang
{"title":"Joint AP Scheduling and Power Allocation Based on Synergistic DRL for Cell-Free Massive MIMO","authors":"Jisong Xu;Chaowei Wang;Danhao Deng;Yehao Li;Mingliang Pang;Zhi Zhang;Dongming Wang","doi":"10.1109/LCOMM.2025.3554179","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3554179","url":null,"abstract":"The challenges of energy consumption posed by 5G have emerged as a critical bottleneck for next generation mobile communications. In response to the “Dual Carbon” initiative, we focus on enhancing downlink energy efficiency (EE) in cell-free massive MIMO systems. Unlike most existing studies, which overlook the dynamic fluctuations in users’ downlink rate demands, we aim to optimize the overall downlink energy efficiency while maintaining a constrained satisfaction ratio for users’ spectral efficiency (SE) requirements. In this letter, we propose a synergistic Deep Reinforcement Learning (DRL) cell-free framework, which utilizes the Advantage Actor-Critic (A2C) to jointly and dynamically adjust the idle/active states of access points (APs) and allocate the transmitting power. Simulation results demonstrate that the synergistic A2C-based scheme with idle/active scheduling can effectively improve the energy efficiency of cell-free massive MIMO system, while ensuring the satisfaction of spectral efficiency requirements.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1082-1086"},"PeriodicalIF":3.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143938028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Collision Resolution in RFID Systems Using Antenna Arrays and Mix Source Separation 基于天线阵列和混合源分离的RFID系统碰撞分辨率
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-03-26 DOI: 10.1109/LCOMM.2025.3554980
Mohamed Siala;Noura Sellami
{"title":"Collision Resolution in RFID Systems Using Antenna Arrays and Mix Source Separation","authors":"Mohamed Siala;Noura Sellami","doi":"10.1109/LCOMM.2025.3554980","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3554980","url":null,"abstract":"In this letter, we propose an efficient mix source separation (MSS) algorithm for collision resolution in radio frequency identification (RFID) systems equipped with an antenna array at the reader. We first introduce an approach that exploits the zero constant modulus (ZCM) criterion to separate colliding tags through gradient descent, without using pilot symbols. We show that the ZCM characteristic, considered alone, in the design of the objective function can lead to significant ambiguities in the determination of the beamformers used in the recovery of tag messages. To address this limitation, we propose a more sophisticated approach, relying on a hybrid objective function, incorporating a new ambiguity-raising criterion in addition to the ZCM criterion.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1122-1125"},"PeriodicalIF":3.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-Receiver Transmission Analysis for Mobile SLIPT Using Resonant Beam 基于共振光束的移动SLIPT多接收机传输分析
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-03-26 DOI: 10.1109/LCOMM.2025.3554770
Shun Han;Wen Fang;Mengyuan Xu;Mingliang Xiong;Hao Deng;Qingwen Liu
{"title":"Multi-Receiver Transmission Analysis for Mobile SLIPT Using Resonant Beam","authors":"Shun Han;Wen Fang;Mengyuan Xu;Mingliang Xiong;Hao Deng;Qingwen Liu","doi":"10.1109/LCOMM.2025.3554770","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3554770","url":null,"abstract":"Simultaneous lightwave information and power transfer (SLIPT) technology offers a promising solution to address the communication and power demands of Internet of Things (IoT) devices. The resonant beam (RB) system, based on the self-aligning properties of a spatially separated laser resonator (SSLR), enables energy transmission without precise alignment. However, existing RB-based SLIPT systems are limited to single-receiver configurations. This work introduces a multi-receiver RB-SLIPT system capable of simultaneously transmitting energy and information to multiple receivers. An analytical model based on multi-mode rate equations and diffraction transmission theory is developed to evaluate the energy transfer and communication performance in multi-receiver scenarios. Numerical simulation results demonstrate that in a dual-receiver scenario, the proposed system is capable of transmitting 2 W of optical power to each receiver while achieving a communication capacity of 5.8 bit/s/Hz.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1112-1116"},"PeriodicalIF":3.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cooperative Sensing Based on Coverage Prediction in Heterogeneous Spectrum Availability 基于异构频谱可用性覆盖预测的协同感知
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-03-26 DOI: 10.1109/LCOMM.2025.3555146
Zhibo Chen;Wenming Zhu;Jingming Hu;Daoxing Guo
{"title":"Cooperative Sensing Based on Coverage Prediction in Heterogeneous Spectrum Availability","authors":"Zhibo Chen;Wenming Zhu;Jingming Hu;Daoxing Guo","doi":"10.1109/LCOMM.2025.3555146","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3555146","url":null,"abstract":"This letter proposes a novel cooperative spectrum sensing (CSS) scheme based on primary users (PUs) coverage prediction for cognitive radio networks in heterogeneous spectrum availability (HetSA) environments. To achieve accurate sensing, a conditional generative adversarial network (cGAN) is employed to learn and construct the radio map, based on limited sensing data from secondary users (SUs). Subsequently, an improved density peak clustering (DPC) algorithm is used to identify the density distribution of PU signal strength and accurately predict PU coverage areas, exhibiting robustness against channel fading and noise. Finally, a radio map coverage prediction based CSS (RMCP-CSS) detector is proposed, which efficiently fuses predicted PU coverage for enhanced spectrum sensing. Simulation results demonstrate that the proposed RMCP-CSS achieves superior detection performance compared to state-of-the-art CSS algorithms, making it well-suited for small-scale, dense sensor deployments in HetSA scenarios.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 6","pages":"1171-1175"},"PeriodicalIF":3.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Free-Space Optical Channel Turbulence Prediction: A Machine Learning Approach 自由空间光通道湍流预测：一种机器学习方法
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-03-26 DOI: 10.1109/LCOMM.2025.3555162
Md Zobaer Islam;Ethan Abele;Fahim Ferdous Hossain;Arsalan Ahmad;Sabit Ekin;John F. O’Hara
{"title":"Free-Space Optical Channel Turbulence Prediction: A Machine Learning Approach","authors":"Md Zobaer Islam;Ethan Abele;Fahim Ferdous Hossain;Arsalan Ahmad;Sabit Ekin;John F. O’Hara","doi":"10.1109/LCOMM.2025.3555162","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3555162","url":null,"abstract":"Channel turbulence is a formidable obstacle for free-space optical (FSO) communication. Anticipation of turbulence levels is highly important for mitigating disruptions but has not been demonstrated without dedicated, auxiliary hardware. We show that machine learning (ML) can be applied to raw FSO data streams to rapidly predict channel turbulence levels with no additional sensing hardware. FSO was conducted through a controlled channel in the lab under six distinct turbulence levels, and the efficacy of using ML to classify turbulence levels was examined. ML-based turbulence level classification was found to be >98% accurate with multiple ML training parameters. Classification effectiveness was found to depend on the timescale of changes between turbulence levels but converges when turbulence stabilizes over about a one minute timescale.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1126-1130"},"PeriodicalIF":3.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-Agent Deep Reinforcement Learning Based Handover Strategy for LEO Satellite Networks 基于多智能体深度强化学习的LEO卫星网络切换策略
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-03-26 DOI: 10.1109/LCOMM.2025.3554818
Chungnyeong Lee;Inkyu Bang;Taehoon Kim;Howon Lee;Bang Chul Jung;Seong Ho Chae
{"title":"Multi-Agent Deep Reinforcement Learning Based Handover Strategy for LEO Satellite Networks","authors":"Chungnyeong Lee;Inkyu Bang;Taehoon Kim;Howon Lee;Bang Chul Jung;Seong Ho Chae","doi":"10.1109/LCOMM.2025.3554818","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3554818","url":null,"abstract":"The high rotation speeds and mega-constellations of low earth orbit satellites (LEO SATs) cause the inter-satellite frequent handovers (HOs) problem which can lead to substantial performance degradation. This letter proposes a novel distributed multi-agent deep Q-network based SAT HO strategy for the LEO SAT networks to simultaneously minimize the number of HOs and maximize the throughputs and the visible times of UEs while satisfying the quality-of-service (QoS) constraints of all UEs. The proposed HO scheme allows UEs to independently and simultaneously perform the HO decision makings based on their own local information, which enables to immediately adapt to the dynamic changes of the LEO SAT network environments. The numerical results demonstrated that our proposed HO strategy achieves the lowest average HO rate and the highest achievable throughputs compared to other conventional HO strategies, while ensuring a higher QoS guarantee time ratio.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1117-1121"},"PeriodicalIF":3.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Exact Analysis on Security-Reliability Tradeoff in Downlink Rate Splitting Multiple Access 下行速率分路多址安全可靠性权衡的精确分析
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-03-26 DOI: 10.1109/LCOMM.2025.3554632
Weiping Shang;Zheng Xiang;Peng Ren;Long Yang
{"title":"An Exact Analysis on Security-Reliability Tradeoff in Downlink Rate Splitting Multiple Access","authors":"Weiping Shang;Zheng Xiang;Peng Ren;Long Yang","doi":"10.1109/LCOMM.2025.3554632","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3554632","url":null,"abstract":"This letter considers the downlink transmission in the rate-splitting multiple access (RSMA) aided system in slow-fading channels. Specifically, a source transmits the intended common and private streams both at constant rates to the served K users at the same time-frequency resources, while an external eavesdropper tries to overhear the messages sent to the K legitimate users. In contrast to the existing works, we first propose a novel outage probability definition to exactly measure the outage performance of this RSMA system. Then, based on the proposed outage probability, we take the Rayleigh fading channel as an example for performance analysis, where we analyze the security-reliability tradeoff by deriving an analytical expression for the optimal average sum outage rate (ASOR) under a target eavesdropping probability. Moreover, we also derive a simple but tight closed-form approximation for the optimal ASOR in the high signal-to-noise ratio (SNR) regime. Finally, numerical results are presented to verify the accuracy of the derived expressions.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1102-1106"},"PeriodicalIF":3.7,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CNN-RAGNet Architecture for CFO Estimation in RIS-Assisted MIMO-OFDM Systems ris辅助MIMO-OFDM系统中CFO估计的CNN-RAGNet架构
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-03-24 DOI: 10.1109/LCOMM.2025.3554345
Shivani Singh;Sudhan Majhi;Udit Satija
{"title":"CNN-RAGNet Architecture for CFO Estimation in RIS-Assisted MIMO-OFDM Systems","authors":"Shivani Singh;Sudhan Majhi;Udit Satija","doi":"10.1109/LCOMM.2025.3554345","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3554345","url":null,"abstract":"This letter presents a deep learning (DL) supervised model of estimating carrier frequency offset (CFO) for reconfigurable intelligent surfaces (RIS)-assisted multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems without the channel state information. The proposed architecture consists of the convolution neural network (CNN) with enhanced residual (Res), attention and dense gated linear unit (GLU) blocks, collectively referred to as CNN-RAGNet architecture. The integration of enhanced Res block facilitates feature extraction from various received antenna samples and mitigates the vanishing gradient problem. The attention and D-GLU blocks are incorporated into the model to prioritize relevant features and enhance the CFO estimation accuracy. Furthermore, the proposed architecture is adaptable to various modulation schemes and RIS elements, and works on the realistic 3GPP TR38.901 tapped delay line channel model. The simulation results indicate its outperformance over existing statistical based methods and DL based approaches. The proposed architecture has lower computational complexity than the existing methods.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1092-1096"},"PeriodicalIF":3.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improved Range and Velocity Estimation in JCAS Using Apodization-Enhanced Optimization 利用消角增强优化改进JCAS的距离和速度估计
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-03-24 DOI: 10.1109/LCOMM.2025.3553947
Michael Hofstadler;Günther Lindorfer;Reinhard Feger;Andreas Stelzer;Andreas Meingassner;Oliver Lang;Andreas Springer
{"title":"Improved Range and Velocity Estimation in JCAS Using Apodization-Enhanced Optimization","authors":"Michael Hofstadler;Günther Lindorfer;Reinhard Feger;Andreas Stelzer;Andreas Meingassner;Oliver Lang;Andreas Springer","doi":"10.1109/LCOMM.2025.3553947","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3553947","url":null,"abstract":"This letter introduces a novel approach to enhance range and velocity estimation in joint communication and sensing (JCAS) systems using apodization-enhanced optimization techniques. The method tackles challenges posed by nonuniform and sparse resource distribution in 5G sounding reference signal (SRS) configurations, which often cause undesired diagonally located spectral replicas in range-velocity maps, especially in multitarget scenarios. The proposed nonlinear apodization method achieves significant improvements in detection probability, with relative increases of up to 50% in some configurations. However, certain configurations do not benefit. These results indicate that while apodization substantially enhances performance in some scenarios, limitations persist in others.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1072-1076"},"PeriodicalIF":3.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10937733","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143937999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信