电讯技术2026，Vol.66Issue(5)：764-772,9.DOI:10.20079/j.issn.1001-893x.260131001
可移动天线辅助ISAC系统的鲁棒优化
Robust Optimization for Movable Antenna-assisted Integrated Sensing and Communication(ISAC)Systems
陈书恒 1郝天 2郝奇 2李雪 3宋磊 3刘赟 4杨峰2
作者信息
- 1. 中国人民解放军 92728 部队,上海 200436
- 2. 上海交通大学 集成电路学院,上海 200240
- 3. 中国电波传播研究所青岛分所,山东 青岛 266108
- 4. 西南电子技术研究所,成都 610036
- 折叠
摘要
Abstract
To address the performance degradation of integrated sensing and communication(ISAC)systems caused by imperfect channel state information(CSI),a robust resource optimization method is investigated for movable antenna(MA)-assisted systems.In the presence of channel estimation errors,conventional designs based on perfect CSI suffer from significant performance loss,making it challenging to achieve an effective trade-off between communication and sensing under channel uncertainty.An MA-enabled ISAC system is considered,where movable antennas are deployed at both the base station and communication users.By jointly optimizing the antenna positions at the base station,transmit beamforming,and antenna positions at the user side,the sensing mutual information is maximized while satisfying communication quality-of-service constraints and antenna movement constraints.The resulting problem is highly non-convex with strongly coupled variables,and CSI uncertainty further introduces infinitely many inequality constraints.To tackle these challenges,a robust alternating optimization algorithm is developed by integrating semidefinite relaxation and successive convex approximation to obtain efficient feasible solutions.Simulation results demonstrate that,compared with fixed-position antenna systems,the proposed scheme maintains system stability under severe channel estimation errors and achieves an average improvement of 38.8%in sensing mutual information.关键词
可移动天线/通信感知一体化(ISAC)/波束赋形Key words
movable antenna/integrated sensing and communication(ISAC)/beamforming分类
信息技术与安全科学引用本文复制引用
陈书恒,郝天,郝奇,李雪,宋磊,刘赟,杨峰..可移动天线辅助ISAC系统的鲁棒优化[J].电讯技术,2026,66(5):764-772,9.
