{"title":"Joint Beamforming Design and Trajectory Optimization for UAV-Enabled Cell-Free ISAC MIMO Systems","authors":"Jincheng Zhong;Jilong Wu;Yaqi Li;Chenyu Zhang;Pengcheng Zhu","doi":"10.1109/LCOMM.2025.3577697","DOIUrl":null,"url":null,"abstract":"This letter presents a comprehensive investigation into beamforming design and trajectory optimization for integrated sensing and communication (ISAC) systems under a cell-free architecture, supported by multiple unmanned aerial vehicles (UAVs). To effectively incorporate sensing into communication tasks, we propose an efficient tracking scheme based on the extended Kalman filter (EKF) to estimate the positions of mobile user equipments (UEs), which are then used for beamforming design and trajectory optimization. The originally complex non-convex optimization problem is decomposed into several tractable subproblems, which are efficiently addressed using the block coordinate descent (BCD) method and fractional programming (FP). Numerical simulations validate the effectiveness of the proposed framework, demonstrating notable improvements in both average sum-rate and sensing accuracy.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 8","pages":"1849-1853"},"PeriodicalIF":4.4000,"publicationDate":"2025-06-09","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/11028051/","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 letter presents a comprehensive investigation into beamforming design and trajectory optimization for integrated sensing and communication (ISAC) systems under a cell-free architecture, supported by multiple unmanned aerial vehicles (UAVs). To effectively incorporate sensing into communication tasks, we propose an efficient tracking scheme based on the extended Kalman filter (EKF) to estimate the positions of mobile user equipments (UEs), which are then used for beamforming design and trajectory optimization. The originally complex non-convex optimization problem is decomposed into several tractable subproblems, which are efficiently addressed using the block coordinate descent (BCD) method and fractional programming (FP). Numerical simulations validate the effectiveness of the proposed framework, demonstrating notable improvements in both average sum-rate and sensing accuracy.
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.