Improved AFSA-Based Beam Training Without CSI for RIS-Assisted ISAC Systems

Yunxiang Shi; Lixin Li; Wensheng Lin; Wei Liang; Zhu Han

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arXiv · 2504.07436

Improved AFSA-Based Beam Training Without CSI for RIS-Assisted ISAC Systems

Yunxiang Shi·Lixin Li·Wensheng Lin·Wei Liang·Zhu Han

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Abstract

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.

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BibTeX RIS

Yunxiang Shi, Lixin Li, Wensheng Lin, Wei Liang, Zhu Han. 2025-04-10. Improved AFSA-Based Beam Training Without CSI for RIS-Assisted ISAC Systems. https://arxiv.org/abs/2504.07436

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