Fu, ZengchangYuan, JideYang, YuliGuizani, Mohsen2025-10-162025-10-1620252025-09-11Z. 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/ICCC65529.2025.11148903.979-8-3315-4445-410.1109/ICCC65529.2025.11148903https://hdl.handle.net/20.500.14634/1539In 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.EnglishIntegrated Sensing and Communication2025 IEEE/CIC International Conference on Communications in China, ICCC 202516ConferenceConference proceedingProceedings of the IEEE International Conference on Communications in China (ICCC)