MIMO Capacity Maximization With a Practical Model for Reconfigurable Intelligent Surfaces
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 sy...
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Published in | IEEE wireless communications letters Vol. 13; no. 12; pp. 3330 - 3334 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Piscataway
IEEE
01.12.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | 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. |
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AbstractList | 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. |
Author | Sirojuddin, Ahmad Alouini, Mohamed-Slim Suwadi Wirawan Suryani, Titiek |
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SubjectTerms | 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 |
Title | MIMO Capacity Maximization With a Practical Model for Reconfigurable Intelligent Surfaces |
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