电讯技术2024，Vol.64Issue(7)：1072-1078,7.DOI:10.20079/j.issn.1001-893x.230309004
双智能反射面辅助的感知通信一体化波束赋形与相移优化
Beamforming and Phase Shifts Optimization for a Double IRS-assisted Integrated Sensing and Communication
摘要
Abstract
The problem that the direct links between the base station and some communication users or potential targets are very weak can be solved efficiently by deploying the intelligent reflecting surface(IRS).However,the coverage of single IRS is limited,and thus a double IRS-assisted integrated sensing and communication(ISAC)system is investigated.In order to reduce the channel training overhead,statistical channel state information is used.The problem of maximizing the beampattern gain by jointly optimizing the beamforming at the base station and the phase shift at the IRSs subject to the minimum ergodic capacity requirements of communication users is established.The problem is transformed into three subproblems to decouple beamforming and phase shifts of double IRSs,and then the semi-definite relaxation based alternating optimization algorithm is proposed to solve the problem.Over twice the beampattern gain is obtained by deploying double IRSs compared with single IRS scenario.关键词
感知通信一体化(ISAC)/智能反射面(IRS)/统计信道信息/半定松弛/交替优化Key words
integrated sensing and communication(ISAC)/intelligent reflecting surface(IRS)/statistical channel state information/semi-definite relaxation/alternating optimization分类
信息技术与安全科学引用本文复制引用
谭子谦,韩士莹,李月..双智能反射面辅助的感知通信一体化波束赋形与相移优化[J].电讯技术,2024,64(7):1072-1078,7.基金项目
国家自然科学基金资助项目(62171239) （62171239）
