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

Zesong Fei1; Shuntian Tang1; Xinyi Wang1; Fanghao Xia1; Fan Liu2; J. Andrew Zhang3

2024

10.1109/LWC.2024.3443409

IEEE Wireless Communications Letters   影响因子和分区

2162-2345

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.

EI

其他

1.School of Information and Electronics, Beijing Institute of Technology, Beijing, China
2.School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, China
3.School of Electrical and Data Engineering, University of Technology Sydney, NSW, Australia

Zesong Fei,Shuntian Tang,Xinyi Wang,et al. Revealing the Trade-Off in ISAC Systems: The KL Divergence Perspective[J]. IEEE Wireless Communications Letters,2024,PP(99).

Zesong Fei,Shuntian Tang,Xinyi Wang,Fanghao Xia,Fan Liu,&J. Andrew Zhang.(2024).Revealing the Trade-Off in ISAC Systems: The KL Divergence Perspective.IEEE Wireless Communications Letters,PP(99).

Zesong Fei,et al."Revealing the Trade-Off in ISAC Systems: The KL Divergence Perspective".IEEE Wireless Communications Letters PP.99(2024).