{"title":"Integrated Sensing and Communications for Reconfigurable Intelligent Surface-Aided Cell-Free Networks","authors":"Shanza Shakoor;Quang Nhat Le;Een-Kee Hong;Berk Canberk;Trung Q. Duong","doi":"10.1109/LCOMM.2025.3558995","DOIUrl":null,"url":null,"abstract":"This work explores a cell-free integrated sensing and communication (CF-ISAC) framework in which distributed access points work together to support communication users (UEs) with assistance from multiple reconfigurable intelligent surfaces (RISs) while simultaneously performing target sensing. An effective strategy is introduced for the joint optimization of communication parameters, sensing beamforming designs, and reflecting coefficients, with the goal of enhancing the minimum signal-to-interference-plus-noise ratio (SINR) among all UEs. To address the complexity of this non-convex optimization problem, a robust alternating optimization method is designed. The numerical results confirm that the proposed approach significantly boosts the minimum SINR in CF-ISAC systems, demonstrating the advantages of utilizing RISs.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 6","pages":"1275-1279"},"PeriodicalIF":3.7000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10960310/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This work explores a cell-free integrated sensing and communication (CF-ISAC) framework in which distributed access points work together to support communication users (UEs) with assistance from multiple reconfigurable intelligent surfaces (RISs) while simultaneously performing target sensing. An effective strategy is introduced for the joint optimization of communication parameters, sensing beamforming designs, and reflecting coefficients, with the goal of enhancing the minimum signal-to-interference-plus-noise ratio (SINR) among all UEs. To address the complexity of this non-convex optimization problem, a robust alternating optimization method is designed. The numerical results confirm that the proposed approach significantly boosts the minimum SINR in CF-ISAC systems, demonstrating the advantages of utilizing RISs.
期刊介绍:
The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.