Active and Passive Beamforming Designs for SER Minimization in RIS-Assisted MIMO Systems
<|reference_start|>Active and Passive Beamforming Designs for SER Minimization in RIS-Assisted MIMO Systems: This research exploits the applications of reconfigurable intelligent surface (RIS)-assisted multiple input multiple output (MIMO) systems, specifically addressing the enhancement of communication reliability with modulated signals. Specifically, we first derive the analytical downlink symbol error rate (SER) of each user as a multivariate function of both the phase-shift and beamforming vectors. The analytical SER enables us to obtain insights into the synergistic dynamics between the RIS and MIMO communication. We then introduce a novel average SER minimization problem subject to the practical constraints of the transmitted power budget and phase shift coefficients, which is NP-hard. By incorporating the differential evolution (DE) algorithm as a pivotal tool for optimizing the intricate active and passive beamforming variables in RIS-assisted communication systems, the non-convexity of the considered SER optimization problem can be effectively handled. Furthermore, an efficient local search is incorporated into the DE algorithm to overcome the local optimum, and hence offer low SER and high communication reliability. Monte Carlo simulations validate the analytical results and the proposed optimization framework, indicating that the joint active and passive beamforming design is superior to the other benchmarks.<|reference_end|>
@article{van chien2024active,
    title={Active and Passive Beamforming Designs for SER Minimization in
  RIS-Assisted MIMO Systems},
    author={Trinh Van Chien, Bui Trong Duc, Ho Viet Duc Luong, Huynh Thi Thanh
  Binh, Hien Quoc Ngo, and Symeon Chatzinotas},
    journal={arXiv preprint arXiv:2410.05961},
    year={2024},
    archivePrefix={arXiv},
    eprint={2410.05961},
    primaryClass={cs.IT eess.SP math.IT}
}