TY - GEN
T1 - Hybrid Beamforming for Millimeter-Wave ISAC System with Multi-Static Cooperative Localization
AU - Yuan, Minghao
AU - He, Dongxuan
AU - Yin, Hao
AU - Wang, Hua
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Beamforming is a key technique for achieving integrated sensing and communication (ISAC). However, most existing works focus on mono-static sensing, which can only provide limited sensing accuracy and range. In this paper, we investigate hybrid beamforming design for millimeter-wave (mmWave) multipleinput multiple-output (MIMO) ISAC system with multi-static cooperative localization, where one access point (AP) simultaneously transmits communication beams to serve multiple user equipments (UEs) and transmits a sensing beam towards a target, and other nearby APs perform cooperative localization on the target by estimating the angle-of-arrivals (AOAs) of received echo signals. To characterize the target localization accuracy, we derive the squared position error bound (SPEB) of AOA-based cooperative localization by using the equivalent Fisher information matrix (EFIM). Then, the hybrid beamforming design problem is formulated to minimize the SPEB of target localization, while satisfying the signal-to-interference-plus-noise ratio (SINR) requirements of individual communication UEs, transmit power budget, and constant modulus constraints. To solve the non-convex problem, a semidefinite relaxation (SDR)-based alternating optimization algorithm is proposed. Simulation results demonstrate that the proposed hybrid beamforming can achieve localization accuracy close to fully-digital beamforming and outperform the baseline schemes.
AB - Beamforming is a key technique for achieving integrated sensing and communication (ISAC). However, most existing works focus on mono-static sensing, which can only provide limited sensing accuracy and range. In this paper, we investigate hybrid beamforming design for millimeter-wave (mmWave) multipleinput multiple-output (MIMO) ISAC system with multi-static cooperative localization, where one access point (AP) simultaneously transmits communication beams to serve multiple user equipments (UEs) and transmits a sensing beam towards a target, and other nearby APs perform cooperative localization on the target by estimating the angle-of-arrivals (AOAs) of received echo signals. To characterize the target localization accuracy, we derive the squared position error bound (SPEB) of AOA-based cooperative localization by using the equivalent Fisher information matrix (EFIM). Then, the hybrid beamforming design problem is formulated to minimize the SPEB of target localization, while satisfying the signal-to-interference-plus-noise ratio (SINR) requirements of individual communication UEs, transmit power budget, and constant modulus constraints. To solve the non-convex problem, a semidefinite relaxation (SDR)-based alternating optimization algorithm is proposed. Simulation results demonstrate that the proposed hybrid beamforming can achieve localization accuracy close to fully-digital beamforming and outperform the baseline schemes.
KW - Integrated sensing and communication
KW - cooperative localization
KW - hybrid beamforming
KW - semidefinite relaxation
KW - squared position error bound
UR - https://www.scopus.com/pages/publications/105018472681
U2 - 10.1109/ICC52391.2025.11160820
DO - 10.1109/ICC52391.2025.11160820
M3 - Conference contribution
AN - SCOPUS:105018472681
T3 - IEEE International Conference on Communications
SP - 6729
EP - 6734
BT - ICC 2025 - IEEE International Conference on Communications
A2 - Valenti, Matthew
A2 - Reed, David
A2 - Torres, Melissa
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE International Conference on Communications, ICC 2025
Y2 - 8 June 2025 through 12 June 2025
ER -