MIMO Capacity Maximization With a Practical Model for Reconfigurable Intelligent Surfaces

• Published in: IEEE wireless communications letters Vol. 13; no. 12; pp. 3330 - 3334
• Main Authors: Sirojuddin, Ahmad, Suryani, Titiek, Suwadi, Wirawan, Alouini, Mohamed-Slim
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.12.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Capacity maximization; information and communication technology; Maximization; MIMO; MIMO communication; Newton-Raphson method; Optimization; practical model RIS; reconfigurable intelligent surface; Reconfigurable intelligent surfaces; Reflection; Relays; Surface resistance; Vectors; Wireless communication systems
• ISSN: 2162-2337; 2162-2345
• DOI: 10.1109/LWC.2024.3461712

Reconfigurable intelligent surface (RIS) is a cutting-edge technology projected to significantly enhance the spectrum and energy efficiency of current wireless communication systems. This letter addresses the problem of maximizing the capacity of practically modeled RIS-assisted single-point MIMO systems in which the reflective elements have inherent resistance. The solutions for the optimal power allocation and RIS phase shifts are obtained using the Newton-Raphson method and a modified gradient ascent algorithm, respectively. The numerical results show that the proposed method surpasses three benchmark systems in terms of the optimality of the achieved rate and the execution time.