Heuristic Solution to Joint Deployment and Beamforming Design for STAR-RIS Aided Networks
<|reference_start|>Heuristic Solution to Joint Deployment and Beamforming Design for STAR-RIS Aided Networks: 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.<|reference_end|>
@article{yan2024heuristic,
    title={Heuristic Solution to Joint Deployment and Beamforming Design for
  STAR-RIS Aided Networks},
    author={Bai Yan, Qi Zhao, Jin Zhang and J. Andrew Zhang},
    journal={arXiv preprint arXiv:2404.09149},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.09149},
    primaryClass={eess.SY cs.NA cs.NE cs.SY math.NA}
}