Heuristic Solution to Joint Deployment and Beamforming Design for STAR-RIS Aided Networks

• URL: http://arxiv.org/abs/2404.09149v1
• Date: Sun, 14 Apr 2024 05:45:41 GMT
• Title: Heuristic Solution to Joint Deployment and Beamforming Design for STAR-RIS Aided Networks
• Authors: Bai Yan, Qi Zhao, Jin Zhang, J. Andrew Zhang,
• Abstract summary: This paper emphasizes the joint optimization of the location and orientation of STAR-RIS. We consider a sum rate problem with joint optimization and hybrid beamforming design. Numerical results demonstrate the substantial performance gains achievable through optimal deployment design.
• Score: 23.4781981471893
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper tackles the deployment challenges of Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surface (STAR-RIS) in communication systems. Unlike existing works that use fixed deployment setups or solely optimize the location, this paper emphasizes the joint optimization of the location and orientation of STAR-RIS. This enables searching across all user grouping possibilities and fully boosting the system's performance. We consider a sum rate maximization problem with joint optimization and hybrid beamforming design. An offline heuristic solution is proposed for the problem, developed based on differential evolution and semi-definite programming methods. In particular, a point-point representation is proposed for characterizing and exploiting the user-grouping. A balanced grouping method is designed to achieve a desired user grouping with low complexity. Numerical results demonstrate the substantial performance gains achievable through optimal deployment design.

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