{"title":"Efficient Codebook Design and User Scheduling for Large STAR-RIS-Aided Downlink URLLC Transmission","authors":"Mostafa Darabi;Ata Khalili;Lutz Lampe;Robert Schober","doi":"10.1109/LCOMM.2024.3510464","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3510464","url":null,"abstract":"To ensure ultra-reliable, low-latency communications (URLLC) despite blockages, we propose using simultaneously transmitting and reflecting (STAR) reconfigurable intelligent surfaces (RISs). These surfaces can transmit and reflect signals, expanding coverage on both sides of the RIS. However, phase shifter adjustments in STAR-RIS are limited by coupling constraints. We introduce a codebook design for phase-shift adjustment that accounts for these constraints. Leveraging this design, we jointly optimize base station beamforming and STAR-RIS phase-shifting to maximize the number of admitted URLLC users in a downlink multi-user communication system. Numerical results show that the proposed STAR-RIS codebook surpasses existing designs and effectively admits more URLLC users.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"205-209"},"PeriodicalIF":3.7,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938360","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}
{"title":"User Localization for Reconfigurable Intelligent Surface-Assisted mmWave MIMO-OFDM Systems","authors":"Menglei Sheng;Youming Li;Wanyuan Cai;Qinke Qi;Zhenqian Wu;Yonghong Wu","doi":"10.1109/LCOMM.2024.3509621","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3509621","url":null,"abstract":"We discuss the user localization problem assisted by reconfigurable intelligent surfaces (RIS) in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. By exploring the inherent sparse scattering characteristics of mmWave channels, we propose a tensor decomposition based method to obtain the channel parameters (i.e. angle, delay) required for user localization. Specifically, the received signal is modeled as a low-rank third-order tensor fitting a typical polyhedral model which contains a factor matrix of channel parameters. Then, we design a structured tensor decomposition method to estimate the channel parameters by using the Vandermonde property of factor matrices. Finally, based on the least squares criterion, the location of user are obtained from the estimated channel parameters. Simulation results show that the proposed estimation scheme can achieve a centimeter-level resolution of user localization.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"190-194"},"PeriodicalIF":3.7,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938386","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}
{"title":"Optimal Quantized Multi-Cell MMSE Precoding With Low Resolution Data Converters","authors":"Qurrat-Ul-Ain Nadeem;Anas Chaaban;Mérouane Debbah","doi":"10.1109/LCOMM.2024.3509916","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3509916","url":null,"abstract":"This work considers a multi-cell multi-user multiple-input multiple-output (MIMO) system that employs low resolution analog-to-digital converters (ADCs) and digital-to-analog converters (DACs) at each base station (BS) to limit the power consumption. Existing precoder designs for quantization-free systems are sub-optimal for such quantized systems, while the existing precoder designs for quantized systems consider single-cell settings and perfect channel state information (CSI). To address these gaps, we study the downlink linear precoder optimization problem in a cellular system under the distortions introduced by low resolution DACs based on a minimum mean square error (MMSE) approach, while accounting for imperfect CSI obtained in the uplink under distortions introduced by low resolution ADCs. The problem is analytically solved resulting in an optimal quantized multi-cell MMSE precoder that reduces both intra-cell and inter-cell interference under quantization errors, and yields better bit error rate performance than applying the existing conventional multi-cell and quantized single-cell linear precoders to a quantized multi-cell massive MIMO system.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"195-199"},"PeriodicalIF":3.7,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938356","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}
Ning Rao;Hua Xu;Zisen Qi;Dan Wang;Xiang Peng;Lei Jiang
{"title":"Adaptive Jamming Decision-Making Against FHSS Communications via Inexpert Demonstrations Assisted Meta Reinforcement Learning","authors":"Ning Rao;Hua Xu;Zisen Qi;Dan Wang;Xiang Peng;Lei Jiang","doi":"10.1109/LCOMM.2024.3502423","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3502423","url":null,"abstract":"Reinforcement learning (RL)’s powerful optimization capabilities have been extensively applied in the field of wireless communication jamming decision-making. However, the generalization of jamming policies has rarely been explored, and most existing studies rely on task-customized reward functions, which are often intractable to design. To address these issues, we propose a meta RL method for frequency-hopping spread spectrum (FHSS) jamming decision-making, aided by inexpert demonstrations. Firstly, the policy network is meta-trained with multiple diverse tasks to obtain initial network parameters with good generalization. Subsequently, we combine RL and behavioral cloning (BC) to extract useful information from demonstrations, along with learning rate adaptation to achieve efficient policy exploration without the task-customized jamming reward. Simulations confirm that our proposed method not only adapts to unseen jamming tasks with just a few fine-tuning steps under general binary rewards condition, but also achieves higher accumulated jamming rewards and results in lower normalized throughput for users, outperforming state-of-the-art methods.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"105-109"},"PeriodicalIF":3.7,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940708","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}
Weicong Chen;Xinyi Yang;Chao-Kai Wen;Wankai Tang;Jinghe Wang;Yifei Yuan;Xiao Li;Shi Jin
{"title":"Rotatable Block-Controlled RIS: Bridging the Performance Gap to Element-Controlled Systems","authors":"Weicong Chen;Xinyi Yang;Chao-Kai Wen;Wankai Tang;Jinghe Wang;Yifei Yuan;Xiao Li;Shi Jin","doi":"10.1109/LCOMM.2024.3508848","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3508848","url":null,"abstract":"The passive reconfigurable intelligent surface (RIS) requires numerous elements to achieve adequate array gain, which linearly increases power consumption (PC) with the number of reflection phases. To address this PC problem, this letter introduces a rotatable block-controlled RIS (BC-RIS) that preserves spectral efficiency (SE) while reducing power costs. Unlike the element-controlled RIS (EC-RIS), which necessitates independent phase control for each element, the BC-RIS uses a single phase control circuit for each block, substantially lowering power requirements. In the maximum ratio transmission, utilizing statistical channel state information (CSI) to rotate blocks and coherently superimpose signals with optimized reflection phase of blocks, the BC-RIS achieves the same averaged SE as the EC-RIS. Rotating RIS blocks with the statistical CSI allows for slow mechanical rotation speeds. To counteract the added power demands from rotation, influenced by block size, we have developed a segmentation scheme to minimize overall PC. Furthermore, constraints for rotation power-related parameters have been established to enhance the energy efficiency of the BC-RIS compared to the EC-RIS. Numerical results confirm that this approach significantly improves energy efficiency while maintaining performance.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"185-189"},"PeriodicalIF":3.7,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938385","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}
{"title":"Hierarchical Functionality Prioritization in Multicast ISAC: Optimal Admission Control and Discrete-Phase Beamforming","authors":"Luis F. Abanto-Leon;Setareh Maghsudi","doi":"10.1109/LCOMM.2024.3506696","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3506696","url":null,"abstract":"We investigate the joint admission control and discrete-phase multicast beamforming design for integrated sensing and commmunications (ISAC) systems, where sensing and communications functionalities have different hierarchies. Specifically, the ISAC system first allocates resources to the higher-hierarchy functionality and opportunistically uses the remaining resources to support the lower-hierarchy one. This resource allocation problem is a nonconvex mixed-integer nonlinear program (MINLP). We propose an exact mixed-integer linear program (MILP) reformulation, leading to a globally optimal solution. In addition, we implemented three baselines for comparison, which our proposed method outperforms by more than 39%.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"180-184"},"PeriodicalIF":3.7,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938383","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}
{"title":"Resource-Aware Personalized Federated Learning Based on Reinforcement Learning","authors":"Tingting Wu;Xiao Li;Pengpei Gao;Wei Yu;Lun Xin;Manxue Guo","doi":"10.1109/LCOMM.2024.3506015","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3506015","url":null,"abstract":"Federated learning is an effective solution to protect data privacy, but the efficiency and performance of the entire federated system are challenging to balance due to the heterogeneity of client resources and data. To alleviate this dilemma, we propose a new training intensity allocation framework based on model structure. First, we design an optimization model that considers both time and energy consumption constraints, minimizing energy consumption under time constraints and accelerating the convergence of federated training. Then we construct a reinforcement learning-based model allocation strategy for realistic dynamic environments, automatically allocating appropriate model sizes to clients under complex communication conditions and heterogeneous computing resources. Finally, a large number of experiments demonstrate the feasibility and effectiveness of the proposed framework.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"175-179"},"PeriodicalIF":3.7,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938517","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}
Longshen Chen;Jia Zhu;Yulong Zou;Yulei Lou;Yizhi Li
{"title":"STAR-RIS-Assisted Multicast Communications in DFRC-UAV-Enabled ISAC Systems","authors":"Longshen Chen;Jia Zhu;Yulong Zou;Yulei Lou;Yizhi Li","doi":"10.1109/LCOMM.2024.3505896","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3505896","url":null,"abstract":"In this letter, we study a dual-function radar-communication unmanned aerial vehicle (DFRC-UAV)- enabled integrated sensing and communications (ISAC) system, and propose a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted DFRC-UAV-enabled ISAC scheme called SRaDUI, where a DFRC-UAV simultaneously senses ground targets and multicasts information to users assisted by a STAR-RIS. To improve the multicast capacity, we formulate an achievable rate maximization problem by jointly designing the scheduling of targets, the covariance matrices of the transmitted symbol vectors, the STAR-RIS coefficients, and the DFRC-UAV trajectory. To address this non-convex problem, we propose an alternating optimization (AO) based iterative algorithm, decomposing the original problem into a series of subproblems, which can be solved alternately to obtain suboptimal solutions based on the semidefinite relaxation (SDR) and successive convex approximation (SCA). Numerical results demonstrate the superiority of the proposed SRaDUI scheme and the effectiveness of the designed iterative algorithm.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"170-174"},"PeriodicalIF":3.7,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938384","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}
Zizhou Zheng;Huan Huang;Hongliang Zhang;A. Lee Swindlehurst
{"title":"RIS-Aided Dual-Polarized MIMO: How Large a Surface Is Needed to Beat Single Polarization?","authors":"Zizhou Zheng;Huan Huang;Hongliang Zhang;A. Lee Swindlehurst","doi":"10.1109/LCOMM.2024.3504725","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3504725","url":null,"abstract":"Dual-polarized (DP) multiple-input-multiple-output (MIMO) systems have been widely adopted in commercial mobile wireless communications. Such systems achieve multiplexing and diversity gain by exploiting the polarization dimension. However, existing studies have shown that the capacity of DP MIMO may not surpass that of single-polarized (SP) MIMO systems due to the cross-polarization coupling induced by the propagation environment. In this letter, we employ reconfigurable intelligent surfaces (RISs) to address this issue and investigate how large the surface should be to ensure a better performance for DP MIMO. Specifically, we first derive the capacities of DP and SP MIMO systems with an RIS, and then study the influence of the RIS size on the system capacity. Our analyses reveal how to deploy the RIS in a DP MIMO scenario.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"150-154"},"PeriodicalIF":3.7,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938513","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}
{"title":"Weighted Sum Power Minimization for Cooperative Spectrum Sharing in Cognitive Radio Networks","authors":"Yang Yu;Xiaoqing Tang","doi":"10.1109/LCOMM.2024.3504957","DOIUrl":"https://doi.org/10.1109/LCOMM.2024.3504957","url":null,"abstract":"This letter introduces weighted sum power (WSP), a new performance metric for wireless resource allocation during cooperative spectrum sharing in cognitive radio networks, where the primary and secondary nodes have different priorities and quality of service (QoS) requirements. Compared to using energy efficiency (EE) and weighted sum energy efficiency (WSEE) as performance metrics and optimization objectives of wireless resource allocation towards green communication, the linear character of WSP can reduce the complexity of optimization problems. Meanwhile, the weights assigned to different nodes are beneficial for managing their power budget. Using WSP as the optimization objective, a suboptimal resource allocation scheme is proposed, leveraging linear programming and Newton’s method. Simulations verify that the proposed scheme provides near-optimal performance with low computation time. Furthermore, the initial approximate value selection in Newton’s method is also optimized to accelerate the proposed scheme.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 1","pages":"160-164"},"PeriodicalIF":3.7,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142938516","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}