Active and Passive Beamforming Designs for SER Minimization in RIS-Assisted MIMO Systems

Fuente: arXiv
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Autores principales: Van Chien, Trinh, Duc, Bui Trong, Luong, Ho Viet Duc, Binh, Huynh Thi Thanh, Ngo, Hien Quoc, Chatzinotas, Symeon
Formato: Preprint
Publicado: 2024
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author Van Chien, Trinh
Duc, Bui Trong
Luong, Ho Viet Duc
Binh, Huynh Thi Thanh
Ngo, Hien Quoc
Chatzinotas, Symeon
author_facet Van Chien, Trinh
Duc, Bui Trong
Luong, Ho Viet Duc
Binh, Huynh Thi Thanh
Ngo, Hien Quoc
Chatzinotas, Symeon
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2410_05961
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Active and Passive Beamforming Designs for SER Minimization in RIS-Assisted MIMO Systems
Van Chien, Trinh
Duc, Bui Trong
Luong, Ho Viet Duc
Binh, Huynh Thi Thanh
Ngo, Hien Quoc
Chatzinotas, Symeon
Information Theory
Signal Processing
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.
title Active and Passive Beamforming Designs for SER Minimization in RIS-Assisted MIMO Systems
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2410.05961