IEEE Communications Letters最新文献_第8页

Performance Analysis of Cascaded RIS-Assisted Two-Way Wireless Communication System 级联ris辅助双向无线通信系统的性能分析

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-28 DOI: 10.1109/LCOMM.2025.3573621

Huihan Liu;Pu Miao;Kang Song

引用次数: 0

Degrees of Freedom of Holographic MIMO in Multi-User Near-Field Channels 多用户近场信道全息MIMO的自由度

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-28 DOI: 10.1109/LCOMM.2025.3555796

Houfeng Chen;Shaohua Yue;Marco Di Renzo;Hongliang Zhang

{"title":"Degrees of Freedom of Holographic MIMO in Multi-User Near-Field Channels","authors":"Houfeng Chen;Shaohua Yue;Marco Di Renzo;Hongliang Zhang","doi":"10.1109/LCOMM.2025.3555796","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3555796","url":null,"abstract":"Holographic multiple-input multiple-output (HMIMO) is an emerging technology for 6G communications, in which numerous antenna units are integrated in a limited space. As the HMIMO array aperture expands, the near-field region of the array is dramatically enlarged, resulting in more users being located in the near-field region. This creates new opportunities for wireless communications. In this context, the evaluation of the spatial degrees of freedom (DoF) of HMIMO multi-user systems in near-field channels is an open problem, as the analytical methods utilized for evaluating the DoF in far-field channels cannot be directly applied. In this letter, we propose a novel method to calculate the DoF of HMIMO in multi-user near-field channels. We first derive the DoF for a single user in the near field, and then extend the analysis to multi-user scenarios. In this latter scenario, we focus on the impact of spatial blocking between HMIMO users. The derived analytical framework reveals that the DoF of HMIMO in multi-user near-field channels is not in general given by the sum of the DoF of the HMIMO single-user setting because of spatial blocking. Simulation results demonstrate the effectiveness of the proposed method. In the considered case study, the number of DoF reduces by 21.2% on average due to spatial blocking.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 6","pages":"1186-1190"},"PeriodicalIF":3.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144272795","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

Service Association and Subcarrier Allocation in Vehicular Slicing Networks With Dynamic Multi-Service 动态多业务车辆切片网络中的业务关联与子载波分配

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-28 DOI: 10.1109/LCOMM.2025.3555768

Yijian Hou;Kaisa Zhang;Gang Chuai;Weidong Gao;Xiangyu Chen;Siqi Liu

{"title":"Service Association and Subcarrier Allocation in Vehicular Slicing Networks With Dynamic Multi-Service","authors":"Yijian Hou;Kaisa Zhang;Gang Chuai;Weidong Gao;Xiangyu Chen;Siqi Liu","doi":"10.1109/LCOMM.2025.3555768","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3555768","url":null,"abstract":"The vehicular slicing network with dynamic multi-service (VSN-DMS) enables vehicles to support multiple services with dynamically changing types. In this architecture, vehicles can access multiple base stations (BSs) and leverage different network slices (NSs) to meet the requirements of various services. However, frequent service variations and vehicle mobility introduce high handover (HO) costs and inefficient decision making. This letter proposes a novel two-timescale optimization framework to jointly optimize vehicle service (VS) association and subcarrier (SC) allocation. Specifically, in the long-timescale, we propose a federated deep reinforcement learning (FDRL) algorithm to optimize VS association. Unlike conventional reinforcement learning approaches that require centralized data collection, FDRL enables distributed model training across vehicles while aggregating parameters in the cloud. This mitigates the issue of insufficient training data caused by frequent VS changes, while also ensuring vehicle data privacy. In the short-timescale, we propose a versatile alternating coalitional game and swap-matching game algorithm (ACGSM) to optimize SC allocation. By iteratively executing coalitional formation and swap-matching mechanisms, ACGSM efficiently improves the quality of the solution while adapting to dynamic network conditions. Simulation results demonstrate the convergence of FDRL and show that the proposal outperforms benchmarks in improving long-term QoS and reducing the number of HOs.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1131-1135"},"PeriodicalIF":3.7,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932261","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

A Sparsity-Agnostic SL0 Channel Estimation Approach for OTFS Systems 一种OTFS系统稀疏不可知的SL0信道估计方法

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-26 DOI: 10.1109/LCOMM.2025.3554379

Xin Wang;Can Zheng;Pengjiang Hu;Junan Yang;Chung G. Kang

引用次数: 0

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

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

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

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

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

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

引用次数: 0