Low complexity adaptation for reconfigurable intelligent surface-based MIMO systems
Unknown authors
Abstract
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 bit error probability (ABEP) of the system. Furthermore, the validity of the theoretical analysis is supported through extensive computer simulations.
Topics & Concepts
MIMOComputer scienceTransmission (telecommunications)Probabilistic logicWirelessAdaptation (eye)AlgorithmComputer engineeringTheoretical computer scienceChannel (broadcasting)TelecommunicationsArtificial intelligenceOpticsPhysicsAdvanced Wireless Communication TechnologiesOptical Wireless Communication TechnologiesIndoor and Outdoor Localization Technologies