Beamwidth-Adaptive ISAC Beamforming: A Joint Optimization Framework for Detection and Communication
Fu, Zengchang Yuan, Jide Yang, Yuli Guizani, Mohsen
Fu, Zengchang
Yuan, Jide
Yang, Yuli
Guizani, Mohsen
Author
Supervisor
Department
Machine Learning
Embargo End Date
Type
Conference proceeding
Date
2025
License
Language
English
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Abstract
In this paper, we study a sensing beamwidthadaptive beamforming in an integrated sensing and communication (ISAC) system, aiming to illuminate the communication user to assist in detecting adjacent targets. To this end, we consider the beamwidth variability of sensing beam as a key concept of the beamformer. The ratio of summation of beampattern gain on desired over entire angular coverage, namely effective beampattern gain ratio (EBGR), is adopted as the objective for characterizing the sensing performance. The proposed framework takes the communication signal-to-interference-plus-noise ratio (SINR), the total transmit power limit, and the beampattern matching into account. To address the intrinsic non-convexity introduced by EBGR and SINR, we employ Dinkelbach's method to convert the objective form, and obtain a high-quality beamforming solution by applying the semidefinite relaxation (SDR)-based approach. A regularized zero-forcing (RZF)-based approach is further proposed aiming to reduce complexity. Numerical results validate the effectiveness of our beamwidth-adaptive design in various scenarios.
Co-author(s)
Citation
Z. Fu, J. Yuan, Y. Yang and M. Guizani, "Beamwidth-Adaptive ISAC Beamforming: A Joint Optimization Framework for Detection and Communication," 2025 IEEE/CIC International Conference on Communications in China (ICCC), Shanghai, China, 2025, pp. 1-6, doi: 10.1109/ICCC65529.2025.11148903.
Source
Proceedings of the IEEE International Conference on Communications in China (ICCC)
Conference
2025 IEEE/CIC International Conference on Communications in China, ICCC 2025
Keywords
Beamforming, Effective beampattern gain ratio, Integrated sensing and communication, Regularized zero-forcing, Semidefinite relaxation
Subjects
Source
2025 IEEE/CIC International Conference on Communications in China, ICCC 2025
Publisher
IEEE