{"title":"Statistical CSI-Based Weighted Sum-Rate Maximization for Fluid Antenna-Aided Multiuser Communications","authors":"Yijia Li;Shuaixin Yang;Yue Xiao;Xianfu Lei;Ming Xiao","doi":"10.1109/LWC.2025.3559517","DOIUrl":null,"url":null,"abstract":"This letter focuses on the ergodic downlink weighted sum-rate (WSR) maximization in a fluid antenna (FA)-aided multiuser multiple-input multiple-output (MIMO) system. In contrast to most previous works on FA, we assume that the base station (BS) has only statistical channel state information (CSI), and then the transmit beamformer and the antenna positions are jointly optimized. The formulated non-convex problem is solved through an alternating optimization (AO) framework, involving the fractional programming (FP) and successive convex approximation (SCA) techniques. Moreover, by introducing the planar movement mode for the antennas, a low-complexity design is provided as an alternative. Numerical results validate the superiority of the proposed FA-aided system over its fixed-position antenna (FPA) counterpart.","PeriodicalId":13343,"journal":{"name":"IEEE Wireless Communications Letters","volume":"14 7","pages":"1944-1948"},"PeriodicalIF":5.5000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Wireless Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10960696/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
This letter focuses on the ergodic downlink weighted sum-rate (WSR) maximization in a fluid antenna (FA)-aided multiuser multiple-input multiple-output (MIMO) system. In contrast to most previous works on FA, we assume that the base station (BS) has only statistical channel state information (CSI), and then the transmit beamformer and the antenna positions are jointly optimized. The formulated non-convex problem is solved through an alternating optimization (AO) framework, involving the fractional programming (FP) and successive convex approximation (SCA) techniques. Moreover, by introducing the planar movement mode for the antennas, a low-complexity design is provided as an alternative. Numerical results validate the superiority of the proposed FA-aided system over its fixed-position antenna (FPA) counterpart.
期刊介绍：
IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. 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 wireless communication systems.
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