Symbol-Scaling based Constructive Interference Waveform Design for ISAC Systems

被引：0

作者：

Wang, Yiran ^{[1
]}

Hu, Xiaoyan ^{[1
]}

Li, Ang ^{[1
]}

Wong, Kai-Kit ^{[2
]}

Yang, Kun ^{[3
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian, Peoples R China

[2] UCL, Dept Elect & Elect Engn, London, England

[3] Univ Essex, Sch Comp Sci & Elect Engn, Colchester, Essex, England

来源：

2024 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC | 2024年

基金：

中国国家自然科学基金;

关键词：

Symbol scaling; integrated sensing and communication (ISAC); constructive interference (CI); symbol-level precoding (SLP); MIMO COMMUNICATIONS; JOINT RADAR; EXPLOITATION;

D O I：

10.1109/ICCC62479.2024.10681860

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The constructive interference (CI) based symbollevel precoding (SLP) design for integrated sensing and communication (ISAC) systems is investigated in this paper. The minimum communication scaling factor among the users is maximized under radar performance constraint and power constraint through optimizing the transmit signal. In order to solve the proposed optimization problem, two groups of approximate feasible domains are adopted to transform the optimization problem into convex. The simulation results show that the proposed SLP design based on symbol scaling has significant advantages in enhancing the communication performance under the condition that the radar performance satisfy the requirements. And compared with the previous SLP schemes in ISAC system, the computational complexity of the proposed schemes can be reduced significantly.

引用

页数：6

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