Xiaohui LiHong WangYunpei ChenShuran Sheng
Sensing begins to rise as a fundamental functionality in integrated sensing and communication (ISAC), especially for sensing-aided communication enhancement (SACE), where base stations (BSs) are promising to perform ubiquitous sensing for communication enhancement. Resource allocation between sensing and communication is a crucial issue in SACE. Therefore, this letter investigates a RIS-assisted SACE (R-SACE) mechanism that jointly designs the time resource allocation between sensing and communication at the BS and the reflecting precoding at the RIS. The performance-guaranteed sensing result obtained at the BS serves as the basis for the proposed R-SACE mechanism, which aims to maximize the average achievable capacity of the RIS-assisted communication link and suppress caused interference. The closed-form expressions of sensing performance metrics are derived. Alternating algorithm (AO) is used to iteratively solve a proved convex optimization subproblem and a transformed quadratic constraint quadratic programming (QCQP) subproblem. Simulation results show priorities of the proposed R-SACE mechanism in enhancing communication capacity while suppressing interference with assists of sensing and RIS.
Zhongqing WuXuehua LiYuanxin CaiWeijie Yuan
Rang LiuMing LiA. Lee Swindlehurst
Progress ZivukuVan‐Dinh NguyenNhan T. NguyenKonstantinos NtontinSymeon ChatzinotasBjörn Ottersten
Wanming HaoYongchao QuShuang ZhouFang WangZhaoming LuShouyi Yang