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arXiv · 2306.04915

Sensing-based Beamforming Design for Joint Performance Enhancement of RIS-Aided ISAC Systems

Xiaowei Qian·Xiaoling Hu·Chenxi Liu·Mugen Peng·Caijun Zhong
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Abstract

Reconfigurable intelligent surface (RIS) has shown its great potential in facilitating device-based integrated sensing and communication (ISAC), where sensing and communication tasks are mostly conducted on different time-frequency resources. While the more challenging scenarios of simultaneous sensing and communication (SSC) have so far drawn little attention. In this paper, we propose a novel RIS-aided ISAC framework where the inherent location information in the received communication signals from a blind-zone user equipment is exploited to enable SSC. We first design a two-phase ISAC transmission protocol. In the first phase, communication and coarse-grained location sensing are performed concurrently by exploiting the very limited channel state information, while in the second phase, by using the coarse-grained sensing information obtained from the first phase, simple-yet-efficient sensing-based beamforming designs are proposed to realize both higher-rate communication and fine-grained location sensing. We demonstrate that our proposed framework can achieve almost the same performance as the communication-only frameworks, while providing up to millimeter-level positioning accuracy. In addition, we show how the communication and sensing performance can be simultaneously boosted through our proposed sensing-based beamforming designs. The results presented in this work provide valuable insights into the design and implementation of other ISAC systems considering SSC.

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Xiaowei Qian, Xiaoling Hu, Chenxi Liu, Mugen Peng, Caijun Zhong. 2023-06-08. Sensing-based Beamforming Design for Joint Performance Enhancement of RIS-Aided ISAC Systems. https://arxiv.org/abs/2306.04915

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