Revealing the Trade-Off in ISAC Systems: The KL Divergence Perspective

被引:0
|
作者
Fei, Zesong [1 ]
Tang, Shuntian [1 ]
Wang, Xinyi [1 ]
Xia, Fanghao [1 ]
Liu, Fan [2 ]
Zhang, J. Andrew [3 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
[2] Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, Shenzhen 518055, Peoples R China
[3] Univ Technol Sydney, Sch Elect & Data Engn, Sydney, NSW 2007, Australia
基金
中国国家自然科学基金;
关键词
Sensors; Array signal processing; Bit error rate; Vectors; Symbols; Demodulation; System analysis and design; Integrated sensing and communications; Kullback-Leibler divergence (KLD); constellation design; beamforming design; COMMUNICATION; RADAR; SIGNAL;
D O I
10.1109/LWC.2024.3443409
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Integrated sensing and communication (ISAC) is regarded as a promising technique for sixth-generation (6G) communication network. In this letter, we investigate the Pareto bound of the ISAC system in terms of a unified Kullback-Leibler divergence (KLD) performance measure. We firstly use KLD to analyze the detection performance of communication and sensing in the ISAC system. Thereafter, we investigate the impact of constellation and beamforming design on the Pareto bound via deep learning and semi-definite relaxation (SDR) techniques. Simulation results show the trade-off between sensing and communication performance in terms of bit error rate (BER) and probability of detection (PD) under different parameter settings.
引用
收藏
页码:2747 / 2751
页数:5
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