[C29] RA-Enabled Multi-User Multi-Target ISAC Systems With Communication-Centric Optimization

Recently, rotatable antennas (RAs) have attracted widespread attention owing to their inherent simplicity and operational flexibility. In this paper, an RA-enabled integrated sensing and communication (ISAC) system is investigated, which can serve multiple communication users and sense multiple targets simultaneously. Specifically, a communication-centric optimization problem is formulated, where both the transmit beamforming and the rotation angle of the antennas are jointly optimized to improve the communication sum rate. To handle the nonconvex optimization problem, an alternating optimization (AO)-based algorithm is proposed. More specifically, a fractional programming approach is employed to optimize beamforming, while a successive convex approximation (SCA)-based algorithm is developed for optimizing the antenna rotation angles. Simulation results demonstrate the effectiveness of RAs in enhancing the ISAC performance, which confirm the superiority of our proposed optimization algorithm over existing state-of-the-art methods.

Recommended citation: F. Zhao, N. Su, and D. He, "RA-Enabled Multi-User Multi-Target ISAC Systems With Communication-Centric Optimization," in Proc. 2026 20th International Symposium on Wireless Communication Systems (ISWCS), Gold Coast, Australia, 2026, pp. 1-1.
Download Paper