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IEEE Communications Letters Publication Information IEEE通讯通讯出版信息
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2025-01-09 DOI: 10.1109/LCOMM.2024.3521054
{"title":"IEEE Communications Letters Publication Information","authors":"","doi":"10.1109/LCOMM.2024.3521054","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3521054","url":null,"abstract":"","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"i-i"},"PeriodicalIF":3.7,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10835837","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940865","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
IEEE Communications Letters Publication Information IEEE通讯通讯出版信息
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2024-12-11 DOI: 10.1109/LCOMM.2024.3498155
{"title":"IEEE Communications Letters Publication Information","authors":"","doi":"10.1109/LCOMM.2024.3498155","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3498155","url":null,"abstract":"","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 12","pages":"C2-C2"},"PeriodicalIF":3.7,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10794428","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810428","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
IEEE Communications Society Information IEEE通信学会信息
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2024-12-11 DOI: 10.1109/LCOMM.2024.3498153
{"title":"IEEE Communications Society Information","authors":"","doi":"10.1109/LCOMM.2024.3498153","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3498153","url":null,"abstract":"","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"28 12","pages":"C3-C3"},"PeriodicalIF":3.7,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10794432","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810390","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
An Autoregressive Model-Based Differential Framework With Learnable Regularization for CSI Feedback in Time-Varying Massive MIMO Systems 时变大规模MIMO系统CSI反馈的可学习正则化自回归模型差分框架
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2024-12-09 DOI: 10.1109/LCOMM.2024.3512537
Yangyang Zhang;Danyang Yu;Xichang Zhang;Yi Liu
{"title":"An Autoregressive Model-Based Differential Framework With Learnable Regularization for CSI Feedback in Time-Varying Massive MIMO Systems","authors":"Yangyang Zhang;Danyang Yu;Xichang Zhang;Yi Liu","doi":"10.1109/LCOMM.2024.3512537","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3512537","url":null,"abstract":"In frequency division duplex (FDD) mode, the substantial feedback overhead in massive multi-input multi-output (MIMO) systems needs to be mitigated. Existing channel feedback methods that utilize channel temporal correlation exhibit limited performance under low compression ratios (CRs) or high-speed user equipment (UE) in the outdoor scenario. To address these challenges, we propose an autoregressive (AR) model-based differential framework incorporating a regularization learning network (RE-LENet) for channel state information (CSI) feedback in time-varying massive MIMO systems. The proposed AR model-based differential framework can capture the channel temporal correlation more effectively, reducing the degradation of channel reconstruction performance over time. We also design a convolutional neural network (CNN)-based RE-LENet to enhance the reconstruction performance of both the channel differential terms and the initial channel simultaneously. Numerical results indicate that the proposed CSI feedback framework outperforms existing methods.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"230-234"},"PeriodicalIF":3.7,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938363","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
Power Minimization and Resource Allocation in HetNets With Uncertain Channel Gains 信道增益不确定的henets中功率最小化与资源分配
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2024-12-09 DOI: 10.1109/LCOMM.2024.3513556
Gabriel O. Ferreira;Chiara Ravazzi;Fabrizio Dabbene;Giuseppe C. Calafiore
{"title":"Power Minimization and Resource Allocation in HetNets With Uncertain Channel Gains","authors":"Gabriel O. Ferreira;Chiara Ravazzi;Fabrizio Dabbene;Giuseppe C. Calafiore","doi":"10.1109/LCOMM.2024.3513556","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3513556","url":null,"abstract":"In this letter we consider the problem of minimizing the base stations transmission powers in OFDMA heterogeneous networks, while respecting users’ individual throughput demands. The decision variables are the users’ working bandwidths, their association, and the base stations transmission powers. To deal with wireless channel uncertainty, the channel gains are treated as random variables respecting a log-normal distribution, leading to a non-convex chance constrained mixed-integer optimization problem, which is then formulated as a mixed-integer Robust Geometric Program. The efficacy of the proposed method is shown in a real-world scenario of a large European city.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"235-239"},"PeriodicalIF":3.7,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938364","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
Task Selection and Resource Optimization in Multi-Task Federated Learning With Model Decomposition 基于模型分解的多任务联邦学习任务选择与资源优化
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2024-12-05 DOI: 10.1109/LCOMM.2024.3511663
Haowen Sun;Ming Chen;Zhaohui Yang;Yijin Pan;Yihan Cang;Zhaoyang Zhang
{"title":"Task Selection and Resource Optimization in Multi-Task Federated Learning With Model Decomposition","authors":"Haowen Sun;Ming Chen;Zhaohui Yang;Yijin Pan;Yihan Cang;Zhaoyang Zhang","doi":"10.1109/LCOMM.2024.3511663","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3511663","url":null,"abstract":"In this letter, we investigate the training latency minimization problem for a multi-task federated learning (FL) framework with model decomposition over wireless communication networks. To handle the non-independent and non-identically distributed (non-IID) data, we first transform the multi-class classification task into multiple binary classification tasks. We then introduce sampling equalization to ensure the convergence of FL system. The optimization problem aims to minimize the training latency under energy and FL convergence constraints by optimizing task selection, number of learning iterations, and communication resource allocation. We decompose it into three sub-problems and propose alternating algorithm to address each sub-problem iteratively. Numerical results validate that the proposed algorithm significantly reduces time consumption compared to the conventional algorithms.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"225-229"},"PeriodicalIF":3.7,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938362","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
Energy Efficiency Optimization in Secure Full-Duplex ISAC Systems 安全全双工ISAC系统的能效优化
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2024-12-04 DOI: 10.1109/LCOMM.2024.3511549
Xian Zhang;Wanguo Jiao;Wenhui Liu;Chenhao Qi
{"title":"Energy Efficiency Optimization in Secure Full-Duplex ISAC Systems","authors":"Xian Zhang;Wanguo Jiao;Wenhui Liu;Chenhao Qi","doi":"10.1109/LCOMM.2024.3511549","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3511549","url":null,"abstract":"In this letter, we consider the energy efficiency (EE) of the secure full-duplex integrated sensing and communication system. The base station simultaneously performs full-duplex wireless communications and targets sensing, where one of the targets is an eavesdropper. To achieve EE maximization under the secure rate and sensing constraints, we jointly optimize the transmit and receive beamforming as well as designing artificial noise. Since this problem is non-convex, we propose an algorithm based on semi-definite relaxation, successive convex approximation and fractional programming. The results indicate that the EE is optimized while the tradeoff among sensing performance, transmit power and EE is also achieved.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"220-224"},"PeriodicalIF":3.7,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938361","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
Energy-Efficient Downlink NOMA Transmission Enabled by Continuous Phase Modulation 通过连续相位调制实现节能下行链路NOMA传输
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2024-12-04 DOI: 10.1109/LCOMM.2024.3510727
Sai Li;Xiaoyu Dang;Xiangbin Yu;Jie Li;Yunhang Lin;Beien Cheng
{"title":"Energy-Efficient Downlink NOMA Transmission Enabled by Continuous Phase Modulation","authors":"Sai Li;Xiaoyu Dang;Xiangbin Yu;Jie Li;Yunhang Lin;Beien Cheng","doi":"10.1109/LCOMM.2024.3510727","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3510727","url":null,"abstract":"In this letter, we present a power-efficient downlink non-orthogonal multiple access (NOMA) enabled by continuous phase modulation (CPM), which improves the efficiency of the transmitter’s power amplifier (PA) by exploiting a low peak-to-average power ratio (PAPR), thereby achieving power-efficient downlink transmission. First, the system model is established. Then, we investigate the PAPR, spectral efficiency, bit-error-rate (BER) performance with/without nonlinear distortions and computational complexity, and the conventional scheme is also provided as a benchmark. The numerical results show that CPM-NOMA can achieve about \u0000<inline-formula> <tex-math>$3sim 6$ </tex-math></inline-formula>\u0000 (dB) PAPR performance gain compared to conventional schemes. In the absence of nonlinear distortions, CPM-NOMA can obtain comparable or even better BER performance than conventional schemes with similar computational complexity. In the presence of nonlinear distortions, CPM-NOMA can offer robust and power-efficient downlink transmission with smaller PAPR and BER performance losses, and is also suitable for efficient PAs, but not for conventional schemes. Finally, CPM-NOMA can also achieve the trade-off between spectral efficiency, power efficiency and BER.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"210-214"},"PeriodicalIF":3.7,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938357","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
Geometric Constellation Shaping for Wireless Optical Intensity Channels: An Information-Theoretic Approach 无线光强信道的几何星座整形：一种信息论方法
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2024-12-04 DOI: 10.1109/LCOMM.2024.3511129
Suhua Zhou;Tianqi Li;Zhaoxi Fang;Jing Zhou;Wenyi Zhang
{"title":"Geometric Constellation Shaping for Wireless Optical Intensity Channels: An Information-Theoretic Approach","authors":"Suhua Zhou;Tianqi Li;Zhaoxi Fang;Jing Zhou;Wenyi Zhang","doi":"10.1109/LCOMM.2024.3511129","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3511129","url":null,"abstract":"A simple geometric shaping method is proposed for optical wireless communication systems based on intensity modulation and direct detection (IM/DD) from an information-theoretic perspective. Constellations consisting of equiprobable levels with exponential-like distribution are obtained, which possesses asymptotic optimality in the sense that the high-SNR capacity of average-intensity constrained optical intensity channel can be approached by such constellations with increasing size. All \u0000<inline-formula> <tex-math>$2^{b}$ </tex-math></inline-formula>\u0000 levels (\u0000<inline-formula> <tex-math>$bin mathbb {N}$ </tex-math></inline-formula>\u0000) of the obtained constellation can be represented by a basic level and \u0000<inline-formula> <tex-math>$b+2$ </tex-math></inline-formula>\u0000 bits, thereby reducing the required resolution of the digital-to-analog converter (DAC) without affecting the asymptotic optimality. Achievable information rate evaluations verify the asymptotic optimality. As an example, error performance results of a simple 16-level LDPC coded modulation scheme show that a shaping gain of 0.65 dB can be obtained by applying the proposed constellation design. This method can also be applied to more specific IM/DD channel models, since it only requires a near-optimal continuous input distribution.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"215-219"},"PeriodicalIF":3.7,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938358","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 Efficient Sum-Rate Maximization Algorithm for Fluid Antenna-Assisted ISAC System 流体天线辅助ISAC系统的有效和速率最大化算法
IF 3.7 3区 计算机科学
IEEE Communications Letters Pub Date : 2024-12-03 DOI: 10.1109/LCOMM.2024.3510334
Qian Zhang;Mingjie Shao;Tong Zhang;Gaojie Chen;Ju Liu;P. C. Ching
{"title":"An Efficient Sum-Rate Maximization Algorithm for Fluid Antenna-Assisted ISAC System","authors":"Qian Zhang;Mingjie Shao;Tong Zhang;Gaojie Chen;Ju Liu;P. C. Ching","doi":"10.1109/LCOMM.2024.3510334","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3510334","url":null,"abstract":"This letter investigates a fluid antenna (FA)-assisted integrated sensing and communication (ISAC) system, with joint antenna position optimization and waveform design. We consider enhancing the sum-rate maximization (SRM) and sensing performance with the aid of FAs. Although the introduction of FAs brings more degrees of freedom for performance optimization, its position optimization poses a non-convex programming problem and brings great computational challenges. This letter contributes to building an efficient design algorithm by the block successive upper bound minimization and majorization-minimization principles, with each step admitting closed-form update for the ISAC waveform design. In addition, the extrapolation technique is exploited further to speed up the empirical convergence of FA position design. Simulation results show that the proposed design can achieve state-of-the-art sum-rate performance with at least 60% computation cutoff compared to existing works with successive convex approximation (SCA) and particle swarm optimization (PSO) algorithms.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"200-204"},"PeriodicalIF":3.7,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938359","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
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