通信学报2026，Vol.47Issue(1)：1-12,12.DOI:10.11959/j.issn.1000-436x.2026021
高精度低开销无蜂窝通感一体化网络波束成形优化
Beamforming optimization in high-precision and low-overhead cell-free integrated communication and sensing network
摘要
Abstract
To address the challenge of balancing sensing accuracy and resource overhead,a novel cost-accuracy balanced cell-free multiple-input multiple-output(MIMO)integrated sensing and communication(ISAC)system architecture was proposed.In this architecture,a single receiving base station(BS)strategy was adopted,by which resource overhead was reduced compared to traditional multi-receiving schemes.Furthermore,joint delay-angle positioning and an optimal BS selection strategy were innovatively integrated to enhance localization accuracy compared to traditional single-receiving schemes.To achieve high-rate communication and high-precision sensing,an optimization problem for joint beamform-ing design and BS selection was established,and was subsequently reformulated based on the constructive interference utilization mechanism.Mathematical techniques,such as fractional programming and semidefinite relaxation,were em-ployed to solve the established complex non-convex optimization problem.Simulation results demonstrate that com-pared to the conventional single-receiving scheme,the positioning Cramér-Rao bound(CRB)is reduced by approxi-mately 63.27％under the same overhead.Compared to the conventional multi-receiving scheme,energy consumption and latency are reduced by approximately 66.71％and 72.22％,respectively.Consequently,the proposed scheme achieves a superior Pareto front between resource overhead and sensing accuracy.关键词
通感一体化/多输入多输出/感知精度/资源开销/波束成形Key words
integrated sensing and communication/multiple-input multiple-output/sensing accuracy/resource overhead/beamforming分类
信息技术与安全科学引用本文复制引用
贺博鑫,刘娅汐,霍佳皓,皇甫伟,隆克平..高精度低开销无蜂窝通感一体化网络波束成形优化[J].通信学报,2026,47(1):1-12,12.基金项目
国家自然科学基金资助项目(No.62301028)The National Natural Science Foundation of China(No.62301028) （No.62301028）
