Integrated Sensing and Communications With Multiple Targets and Multiple Users in Mixed Field

Xiao, Yun; Wang, Enhao; Chen, Yunfei

Abstract

Integrated sensing and communications (ISAC) plays a crucial role in the next-generation wireless systems. Owing to the deployment of high carrier frequencies and/or large-scale antenna arrays, targets and communications users in the ISAC systems may follow different propagation models. However, most existing works assume the same propagation model for both communications and sensing. This work considers a practical scenario where multiple targets and communications users are in different fields. Beamforming design is proposed to optimize the sensing signal-to-clutter-plus-noise ratio (SCNR) of each target. Specifically, a sensing performance fairness profile optimization (FPO) problem is formulated, and a Dinkelbach-type algorithm is proposed to solve the problem. Numerical results show the tradeoff between mixed-field communications and sensing, the effects of antenna size and model mismatch between near field and far field on the sensing performance of the mixed-field ISAC.

Citation

Xiao, Y., Wang, E., & Chen, Y. (2024, October). Integrated Sensing and Communications With Multiple Targets and Multiple Users in Mixed Field. Presented at 2024 IEEE 24th International Conference on Communication Technology (ICCT), Chengdu, China

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2024 IEEE 24th International Conference on Communication Technology (ICCT)
• Start Date: Oct 18, 2024
• End Date: Oct 20, 2024
• Acceptance Date: Jul 1, 2024
• Online Publication Date: Apr 8, 2025
• Publication Date: Apr 8, 2025
• Deposit Date: Jun 6, 2025
• Peer Reviewed: Peer Reviewed
• Pages: 1288-1292
• Series ISSN: 2576-7844
• Book Title: 2024 IEEE 24th International Conference on Communication Technology (ICCT)
• DOI: https://doi.org/10.1109/ICCT62411.2024.10946468
• Public URL: https://durham-repository.worktribe.com/output/4090888