Low Complexity Adaptation for Reconfigurable Intelligent Surface-Based MIMO Systems
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Reconfigurable intelligent surface (RIS)-based transmission technology offers a promising solution to enhance wireless communication performance cost-effectively through properly adjusting the parameters of a large number of passive reflecting elements. This letter proposes a cosine similarity theorem-based low-complexity algorithm for adapting the phase shifts of an RIS that assists a multiple-input multiple-output (MIMO) transmission system. A semi-analytical probabilistic approach is developed to derive the theoretical average error probability (ABEP) of the system. Furthermore, the validity of the theoretical analysis is supported through extensive computer simulations.
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