IEEE Communications Letters最新文献_第9页

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

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

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

引用次数: 0

Performance Optimization of 2-PolSK in UV Scattering Communication Channels UV散射信道中2-PolSK的性能优化

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-24 DOI: 10.1109/LCOMM.2025.3554114

Srishti Sharma;Swades De

引用次数: 0

A Cost-Efficient Joint Optimization Approach for Downlink Multiuser Scheduling and Precoding 一种低成本的下行多用户调度和预编码联合优化方法

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-24 DOI: 10.1109/LCOMM.2025.3553486

Hongrui Lei;Zhenyao He;Jiacheng Yao;Jindan Xu;Ritao Cheng;Wei Xu

{"title":"A Cost-Efficient Joint Optimization Approach for Downlink Multiuser Scheduling and Precoding","authors":"Hongrui Lei;Zhenyao He;Jiacheng Yao;Jindan Xu;Ritao Cheng;Wei Xu","doi":"10.1109/LCOMM.2025.3553486","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3553486","url":null,"abstract":"Joint design of multiuser scheduling and precoding is crucial in downlink multiple-input multiple-output (MIMO) transmissions, which generally involves mixed-integer programming with tightly coupled variables, making it difficult to solve. Existing methods tackle this challenging problem either by employing convex optimization techniques with high complexity, or by decoupling the problem into two subproblems: heuristic scheduling followed by separate precoding design, which often results in noticeable performance loss. In this letter, we propose a novel low-cost joint design approach for scheduling and precoding, which, compared to existing methods, can achieve superior performance while maintaining low computational complexity. Specifically, we formulate an approximate throughput maximization joint optimization problem leveraging signal-to-leakage-and-noise ratio (SLNR). This formulation facilitates the joint design by allowing us to directly determine the optimal precoding in closed forms and equivalently transform the joint design into a reformulation that relies solely on multiuser scheduling. We then propose a low-complexity iterative algorithm where closed-form solutions are derived in each iteration.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 5","pages":"1052-1056"},"PeriodicalIF":3.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143938025","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

Fractional Delay-Doppler Channel Estimation for OTFS Systems Based on Segmentation Technique and Sparse Bayesian Learning 基于分割技术和稀疏贝叶斯学习的OTFS系统分数延迟-多普勒信道估计

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-24 DOI: 10.1109/LCOMM.2025.3553831

Xiangjun Li;Yu Liang;Zhengchun Zhou;Pingzhi Fan

引用次数: 0

Achieving Uniform Side Information Gain With Multilevel Lattice Codes Over the Ring of Integers 用整数环上的多层格码实现一致边信息增益

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-23 DOI: 10.1109/LCOMM.2025.3573236

Juliana G. F. Souza;Sueli I. R. Costa

引用次数: 0

Spatial-Temporal Discretization Optimization in the Modeling of Optical and RF Wireless Networks 光学和射频无线网络建模中的时空离散化优化

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-23 DOI: 10.1109/LCOMM.2025.3573199

Mohammad Khalili;Marcos Katz;Konstantin Mikhaylov

{"title":"Spatial-Temporal Discretization Optimization in the Modeling of Optical and RF Wireless Networks","authors":"Mohammad Khalili;Marcos Katz;Konstantin Mikhaylov","doi":"10.1109/LCOMM.2025.3573199","DOIUrl":"https://doi.org/10.1109/LCOMM.2025.3573199","url":null,"abstract":"Many optimization frameworks and mathematical models have been proposed for standalone optical and radio frequency (RF) wireless networks, as well as their integration. These models typically discretize the time horizon into fixed intervals, inherently introducing spatial discretization when network nodes are mobile. Spatial discretization is also widely applied in reinforcement learning approaches. While temporal and spatial discretizations reduce computational complexity, they may introduce inaccuracies, especially in highly dynamic systems. This letter presents analytical upper bounds for the relative deviation in signal-to-noise ratio (SNR) in both optical wireless communication (OWC) and RF, focusing on how grid granularity affects SNR accuracy through theoretical analysis. The results show that, under identical grid conditions and ideal node orientation, OWC experiences up to 45% higher relative SNR deviation than RF. Furthermore, an upper bound is derived as a function of node velocity and time interval, indicating that OWC requires 31% shorter time intervals than RF to achieve comparable SNR accuracy. Simulations validate the model, confirming that the theoretical upper bounds closely align with empirical results.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 7","pages":"1734-1738"},"PeriodicalIF":3.7,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11014215","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606161","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

Adaptive DENM Retransmission for Enhancing Reliability of Mixed V2X Traffic 提高混合V2X业务可靠性的自适应DENM重传

IF 3.7 3区计算机科学

IEEE Communications Letters Pub Date : 2025-03-23 DOI: 10.1109/LCOMM.2025.3572938

Seung-Jae Yu;Cheol Mun

引用次数: 0