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

Zesong Fei, Shuntian Tang, Xinyi Wang*, Fanghao Xia, Fan Liu, J. Andrew Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2747-2751
Number of pages5
JournalIEEE Wireless Communications Letters
Volume13
Issue number10
DOIs
Publication statusPublished - 2024

Keywords

  • beamforming design
  • constellation design
  • Integrated sensing and communications
  • Kullback-Leibler divergence (KLD)

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