IEEE Communications Letters最新文献_第9页

A Novel Low-Complexity Bitwise Detection Scheme for SIMO Systems 一种新的SIMO系统低复杂度位检测方案

IF 4.4 3区计算机科学

IEEE Communications Letters Pub Date : 2025-06-04 DOI: 10.1109/LCOMM.2025.3576720

Elmehdi Illi;Amneh Al-Mbaideen;Saud Althunibat;Marwa Qaraqe

{"title":"A Novel Low-Complexity Bitwise Detection Scheme for SIMO Systems","authors":"Elmehdi Illi;Amneh Al-Mbaideen;Saud Althunibat;Marwa Qaraqe","doi":"10.1109/LCOMM.2025.3576720","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3576720","url":null,"abstract":"The recent evolution of various wireless techniques has paved the way for a remarkable evolution in wireless networks. Nonetheless, the main drawback of some cutting-edge techniques is the complex detection at the receiver by implementing the legacy maximum likelihood (MLi) scheme for signal demodulation. In this letter, a novel less complex detector is proposed based on performing a bitwise detection. The proposed scheme aims to reduce the received signal constellation search space by transforming the MLi-based detection to a search operation in a constructed binary constellation tree, resulting in a lower number of constellation points used for comparison. The proposed scheme is first introduced for single-input single-output (SISO) systems and then generalized for single-input multiple-output (SIMO) systems. The obtained results, backed up by Monte Carlo simulations, show that the proposed scheme manifests an identical performance as the optimal MLi scheme with a logarithmic complexity in terms of the modulation order compared to a linear one for the benchmark MLi one. Furthermore, closed-form expressions for the bit error probability are derived for the M-ary phase shift keying (PSK) modulation with <inline-formula> <tex-math>$M=4$ </tex-math></inline-formula> and 8 (QPSK and 8-PSK) modulation schemes.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 8","pages":"1819-1823"},"PeriodicalIF":4.4,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831832","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 Achievable Scheme for Dynamic Index Coding: A Clique Covering Approach 一种可实现的动态索引编码方案：一种团覆盖方法

IF 4.4 3区计算机科学

IEEE Communications Letters Pub Date : 2025-06-03 DOI: 10.1109/LCOMM.2025.3576278

Mohammad Hadi;Mohammad Mahdi Mojahedian

引用次数: 0

Joint Impulsive Noise and Narrowband Interference Mitigation in Time-Varying OFDM Communications 时变OFDM通信中脉冲噪声与窄带干扰的联合抑制

IF 4.4 3区计算机科学

IEEE Communications Letters Pub Date : 2025-06-02 DOI: 10.1109/LCOMM.2025.3575916

Wenfeng Gao;Xiaoyan Kuai

{"title":"Joint Impulsive Noise and Narrowband Interference Mitigation in Time-Varying OFDM Communications","authors":"Wenfeng Gao;Xiaoyan Kuai","doi":"10.1109/LCOMM.2025.3575916","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3575916","url":null,"abstract":"In this letter, we develop a novel sparsity-aware framework to model and mitigate the joint effects of impulsive noise (IN) and narrowband interference (NBI) in the time-varying orthogonal frequency division multiplexing (OFDM) systems. Due to its Doppler shift sensitivity, the time-varying characteristic will degrade the performance of OFDM. After Doppler shift compensation, the algorithms for eliminating NBI and IN are proposed within the sparsity-aware framework for OFDM system. In particular, the proposed interference mitigation technique exploits the sparsity of NBI and IN in the frequency and time domains, respectively. The chirp-z transform combined with the least square method is first used to address the issue of NBI causing the spectrum leakage effect after OFDM demodulation. Furthermore, based on the OFDM measurements with NBI suppression, the turbo compressed sensing algorithm is performed to iteratively correct the estimate of the impulsive noise from the residual NBI interference and ambient noise. The extensive simulation results illustrate the superiority of the proposed processing method compared with the counterpart methods.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 8","pages":"1799-1803"},"PeriodicalIF":4.4,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831926","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

Channel Estimation for Double-RIS-Assisted Multi-User MIMO System in the Presence of Obstructed Links Using Deep Learning 基于深度学习的双ris辅助多用户MIMO系统信道估计

IF 4.4 3区计算机科学

IEEE Communications Letters Pub Date : 2025-06-02 DOI: 10.1109/LCOMM.2025.3575539

Abdulmajid Lawal;Azzedine Zerguine;Karim Abed-Meraim;Ali Muqaibel

{"title":"Channel Estimation for Double-RIS-Assisted Multi-User MIMO System in the Presence of Obstructed Links Using Deep Learning","authors":"Abdulmajid Lawal;Azzedine Zerguine;Karim Abed-Meraim;Ali Muqaibel","doi":"10.1109/LCOMM.2025.3575539","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3575539","url":null,"abstract":"Maximizing the performance of reconfigurable intelligent surfaces (RIS) in wireless communication systems critically depends on accurate channel estimation. This challenge becomes more pronounced in the presence of double RISs, particularly in severely obstructed environments, where the number of channel coefficients increases substantially and more pilot overhead is required. To address these limitations, we propose a deep learning-based two-stage dual-reflection cascaded channel estimation for multi users multiple-input multiple-output (MIMO) system. In the first stage, the dual-reflection channel of a reference user is estimated and in the second stage, the channels of the remaining users are estimated using the reference estimate. The proposed approach operates the first RIS in a known fixed mode, while the second RIS in a dynamically adjustable mode, reducing the number of pilots and channel coefficients to be estimated. Simulation results demonstrate that the proposed deep learning method significantly outperforms existing methods as far as estimation accuracy is concerned especially in low SNR environments.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 8","pages":"1794-1798"},"PeriodicalIF":4.4,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831911","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

From Monolingualism to Multilingualism: Deep Learning-Enhanced Multilingual Text Semantic Communication System 从单语到多语：深度学习增强的多语文本语义交流系统

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-30 DOI: 10.1109/LCOMM.2025.3565692

Guangyao Cheng;Zhengchuan Chen;Rui She;Min Liu;Tony Q. S. Quek

引用次数: 0

Clock Synchronization Using Fast Matrix Completion-Based Maximum Likelihood Estimation in TSN 基于快速矩阵补全的TSN最大似然估计时钟同步

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-29 DOI: 10.1109/LCOMM.2025.3565323

Ruoyu Ji;Fangmin Xu;Shihui Duan;Chenglin Zhao

引用次数: 0

Reconfigurable Intelligent Surface-Aided Energy-Efficient Mobile Edge Computing in OFDM Systems OFDM系统中可重构智能表面辅助节能移动边缘计算

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-29 DOI: 10.1109/LCOMM.2025.3565260

Lou Zhao;Chao Sun;Wei Ni;Derrick Wing Kwan Ng

{"title":"Reconfigurable Intelligent Surface-Aided Energy-Efficient Mobile Edge Computing in OFDM Systems","authors":"Lou Zhao;Chao Sun;Wei Ni;Derrick Wing Kwan Ng","doi":"10.1109/LCOMM.2025.3565260","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3565260","url":null,"abstract":"This letter proposes a novel resource allocation algorithm to enable a reconfigurable intelligent surface (RIS) to support delay-bounded mobile edge computing (MEC) in orthogonal frequency division multiplexing (OFDM) settings, adhering to per-subcarrier power constraint. The energy requirement of the smart devices (SDs) is minimized through the joint optimization of task offloading parameters, RIS configuration, and the receive beamforming of the base station (BS). A key contribution is that we find the semi-closed-form receive beamformers as a function of the RIS phases. Hence, the joint optimization is decoupled between convex offloading scheduling and non-convex RIS configuration by alternating optimization (AO). Another contribution is that we convexify the per-subcarrier power constraint by exploiting successive convex approximation (SCA), and acquiring a Karush-Kuhn-Tucker (KKT) point solution for the RIS configuration. Numerical results show the superiority of the new approach compared with baseline schemes in energy saving, and reveal that the optimal RIS location hinges on the channel quality differences among the RIS, BS, and SDs.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 6","pages":"1446-1450"},"PeriodicalIF":3.7,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144264157","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

MSNCIL: A Domain-Agnostic Class-Incremental Learning Method Tailored for Automatic Modulation Recognition MSNCIL：一种面向自动调制识别的领域不可知类增量学习方法

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-29 DOI: 10.1109/LCOMM.2025.3565561

Zhiwen Deng;Chunbo Luo;Zixi Tang;Yang Luo

引用次数: 0

SCMA for STAR-RIS-Assisted UAV Networks: A DRL Approach for Energy Efficiency Maximization 星- ris辅助无人机网络的SCMA：能源效率最大化的DRL方法

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-04-28 DOI: 10.1109/LCOMM.2025.3564715

Benmeziane Imad-Ddine Ghomri;Mohammed Yassine Bendimerad;Hmaied Shaiek

引用次数: 0

Real-Time Digital Predistortion for Rapid Beam Hopping in LEO Satellites 低轨道卫星快速波束跳变的实时数字预失真