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Multi-user RIS configuration and optimization design via block-diagonal design
Minkler, Chaz
Minkler, Chaz
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t26019_Minkler.pdf
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2026-05
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Recon gurable Intelligent Surfaces (RIS) have emerged as a promising technology for future 6G wireless communication systems. Dynamically controlling an RIS to a ect the Electromagnetic (EM) propagation environment allows for increased wireless communication performance. This work investigates a multi-user communication system aided by an RIS, with the intention of minimizing total transmit power from a base station (BS) while satisfying user-speci c data rate requirements.
The resulting optimization problem is inherently non-convex and several optimization techniques, such as Alternating Optimization (AO) and Semide nite Relaxation (SDR) are utilized to solve the problem in a convex setting. The approach iteratively optimizes the base stations beamforming vector and RIS phase shift vector satisfying constraints for each until all user-speci c data rates are achieved. The AO beamforming and phase shift solutions are convex but require SDR methods to fully describe a real-world solution and impose other challenging constraints external to the convex AO iterations.
The simulations performed demonstrate the e ectiveness of the proposed optimization method with various RIS con gurations and required data rates. The results present trade-o s between structural constraints, convergence behavior, and achievable data rates. In particular, increased connectivity with the RIS structure is shown to improve rate satisfaction and reduced power usage, especially for high data rates. The optimization results are also compared to more traditional array processing methods to achieve data rates where it is evident that utilizing the proposed optimization methods are superior.
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Thesis (M.S.)-- Wichita State University, College of Engineering, Dept. of Electrical and Computer Engineering
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Wichita State University
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© Copyright 2026 Chaz Minkler
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