Low Complexity Adaptation for Reconfigurable Intelligent Surface-Based MIMO Systems

Yiğit Z., Basar E., Altunbaş İ.

IEEE COMMUNICATIONS LETTERS, vol.24, no.12, pp.2946-2950, 2020 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 24 Issue: 12
  • Publication Date: 2020
  • Doi Number: 10.1109/lcomm.2020.3014820
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.2946-2950
  • Keywords: MIMO communication, Computational modeling, Transmitting antennas, Receivers, Complexity theory, Signal to noise ratio, Reconfigurable intelligent surfaces (RISs), multiple-input multiple-output (MIMO), cosine similarity theorem
  • Istanbul Technical University Affiliated: Yes


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.