IEEE Communications Letters最新文献_第8页

Energy-Aware Resource Allocation for Energy Harvesting Powered Wireless Sensor Nodes

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-14 DOI: 10.1109/LCOMM.2025.3529729

Ngoc M. Ngo;Trung T. Nguyen;Phuc H. Nguyen;Van-Dinh Nguyen

引用次数: 0

Time-Frequency Domain PTRS Aided OTFS Phase Noise Compensation 时频域 PTRS 辅助 OTFS 相位噪声补偿

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-13 DOI: 10.1109/LCOMM.2025.3529310

Yu Liang;Xiangjun Li;Pingzhi Fan

引用次数: 0

Enhancing Secrecy Capacity in Integrated Sensing and Communication Systems Using Pilot-Based Codebook Artificial Noise

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-13 DOI: 10.1109/LCOMM.2025.3529214

Yebo Gu;Haozhen Qu;Tao Shen

引用次数: 0

Joint Active and Passive Beamforming Optimization for Beyond Diagonal RIS-Aided Multi-User Communications

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-13 DOI: 10.1109/LCOMM.2025.3528968

Xiaohua Zhou;Tianyu Fang;Yijie Mao

引用次数: 0

Joint Admission Control and Power Minimization in IRS-Assisted Networks

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-10 DOI: 10.1109/LCOMM.2025.3528041

Weijie Xiong;Jingran Lin;Zhiling Xiao;Qiang Li;Yuhan Zhang

引用次数: 0

Performance Analysis of Perturbation-Enhanced SC Decoders

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-09 DOI: 10.1109/LCOMM.2025.3527693

Zhicheng Liu;Liuquan Yao;Shuai Yuan;Guiying Yan;Zhiming Ma;Yuting Liu

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 : 2025-01-09 DOI: 10.1109/LCOMM.2024.3521054

引用次数: 0

Low-Complexity Covariance Matrix Reconstruction Method for Wideband Adaptive Beamforming

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-09 DOI: 10.1109/LCOMM.2025.3527636

Mengyao Yang;Peng Chen;Tao Luo;Mengjiang Sun

{"title":"Low-Complexity Covariance Matrix Reconstruction Method for Wideband Adaptive Beamforming","authors":"Mengyao Yang;Peng Chen;Tao Luo;Mengjiang Sun","doi":"10.1109/LCOMM.2025.3527636","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3527636","url":null,"abstract":"The existing wideband adaptive beamforming algorithms suffer severe performance degradation due to overmuch constraints and high computational complexity. Besides, the desired signal is contained in the received signals, which leads to the phenomenon of self-canceling during the beamforming-based interference suppression. In this letter, a covariance matrix reconstruction-based wideband adaptive beamforming algorithm is proposed to maintain excellent interference suppression performance with low computational complexity. Different from the prior methods, a frequency-angle conversion for wideband beamforming is proposed to convert the wideband signal into several narrowband signals. Thus, an interference-plus-noise covariance matrix (IPNCM) for wideband beamforming can be reconstructed by strategies from narrowband beamforming. Meanwhile, a Gauss-Legendre quadrature (GLQ) is introduced to approximate the integral operation, which provides high accuracy and low computational complexity compared to the polynomial summation. Furthermore, a spatial response variation (SRV) constraint is introduced to reduce the number of constraints and obtain more degrees of freedom to promote interference suppression ability. Simulation results demonstrate the effectiveness of the proposed beamformer with low computational complexity.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"502-506"},"PeriodicalIF":3.7,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594386","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

High-Order Code Shift Keying for Ambient Backscatter Communications

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-08 DOI: 10.1109/LCOMM.2025.3527463

Jixiang Chen;Quansheng Guan;Yue Rong;Chuanlin Liu

{"title":"High-Order Code Shift Keying for Ambient Backscatter Communications","authors":"Jixiang Chen;Quansheng Guan;Yue Rong;Chuanlin Liu","doi":"10.1109/LCOMM.2025.3527463","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3527463","url":null,"abstract":"Ambient backscatter communication (AmBC) is a new advanced technology that utilizes ambient radio frequency signals to enable the communications of battery-free devices and has attracted much attention recently. Existing works develop the high-order modulation in signal domains including the time domain, the frequency domain and the space domain. However, the work in the code domain for AmBC remains missing. In this letter, we extend the high-order modulation to the code domain, i.e., high-order code shift keying (CSK). However, the detection that correlates the received signals with the candidate code cannot work due to the unknown source signals. To detect the active code index, the correlation energy detection (CED) is proposed in which the received signal energy instead of the amplitude is utilized. In this process, CED does not need the channel state information and source power knowledge. Simulation results show that the proposed CED can handle the complex source signal and achieve a desirable bit error rate (BER). The second-order CSK without the training sequences outperforms the on-off keying modulation with training sequences in terms of BER.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"497-501"},"PeriodicalIF":3.7,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594306","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

Throughput Maximization of HARQ-IR for ISAC

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-01-08 DOI: 10.1109/LCOMM.2025.3526865

Jianpeng Zou;Zheng Shi;Binggui Zhou;Yaru Fu;Hong Wang;Weiqiang Tan

{"title":"Throughput Maximization of HARQ-IR for ISAC","authors":"Jianpeng Zou;Zheng Shi;Binggui Zhou;Yaru Fu;Hong Wang;Weiqiang Tan","doi":"10.1109/LCOMM.2025.3526865","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3526865","url":null,"abstract":"In this letter, hybrid automatic retransmission request with incremental redundancy (HARQ-IR) is applied to assist integrated sensing and communication (ISAC). The long term average throughput (LTAT) of HARQ-IR-assisted ISAC is maximized via power allocation while ensuring both communication and sensing reliability as well as total average power budget. Since the LTAT maximization is a non-convex problem, the asymptotic outage approximation is leveraged for problem relaxation. Subsequently, successive convex approximation (SCA) is exploited to convert it into a successive geometric programming (GP) problem. However, the GP-based solution underestimates the LTAT due to the large approximation error of the asymptotic outage probability at a low signal-to-noise ratio (SNR). To address this issue, the original problem is transformed to a Markov decision process, which can be solved with deep reinforcement learning (DRL), e.g., deep deterministic policy gradient. Numerical results show that the DRL-based method delivers comparable performance to the GP-based one at high SNR while performing much better than the GP-based method at low SNR, albeit at the cost of higher complexity.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 3","pages":"492-496"},"PeriodicalIF":3.7,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143594382","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