TY - GEN
T1 - Improved AFSA-Based Beam Training Without CSI for RIS-Assisted ISAC Systems
AU - Shi, Yunxiang
AU - Li, Lixin
AU - Lin, Wensheng
AU - Liang, Wei
AU - Han, Zhu
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - In this paper, we consider transmit beamforming and reflection patterns design in reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) systems, where the dual-function base station (DFBS) lacks channel state information (CSI). To address the high overhead of cascaded channel estimation, we propose an improved artificial fish swarm algorithm (AFSA) combined with a feedback-based joint active and passive beam training scheme. In this approach, we consider the interference caused by multipath user echo signals on target detection and propose a beamforming design method that balances both communication and sensing performance. Numerical simulations show that the proposed AFSA outperforms other optimization algorithms, particularly in its robustness against echo interference under different communication signal-to-noise ratio (SNR) constraints.
AB - In this paper, we consider transmit beamforming and reflection patterns design in reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) systems, where the dual-function base station (DFBS) lacks channel state information (CSI). To address the high overhead of cascaded channel estimation, we propose an improved artificial fish swarm algorithm (AFSA) combined with a feedback-based joint active and passive beam training scheme. In this approach, we consider the interference caused by multipath user echo signals on target detection and propose a beamforming design method that balances both communication and sensing performance. Numerical simulations show that the proposed AFSA outperforms other optimization algorithms, particularly in its robustness against echo interference under different communication signal-to-noise ratio (SNR) constraints.
KW - artificial fish swarm algorithm
KW - Integrated sensing and communication
KW - reconfigurable intelligent surface
KW - transmit beamforming
UR - https://www.scopus.com/pages/publications/105019050027
U2 - 10.1109/VTC2025-Spring65109.2025.11174845
DO - 10.1109/VTC2025-Spring65109.2025.11174845
M3 - 会议稿件
AN - SCOPUS:105019050027
T3 - IEEE Vehicular Technology Conference
BT - 2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 101st IEEE Vehicular Technology Conference, VTC 2025-Spring 2025
Y2 - 17 June 2025 through 20 June 2025
ER -