A low-complexity algorithm for maximizing the weighted sum-rate of intelligent reflecting surface aided wireless communication

Shanjie Cai; Yajun Wang

doi:10.1117/12.2689903

10 August 2023 A low-complexity algorithm for maximizing the weighted sum-rate of intelligent reflecting surface aided wireless communication

Shanjie Cai, Yajun Wang

Author Affiliations +

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127481P (2023) https://doi.org/10.1117/12.2689903
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

As 5G communication networks are now putting into commercialization, technologies for 6G communications assisted by intelligent reflecting surface (IRS) are also being explored in order to obtain faster and more reliable data transmissions. This paper studies the weighted sum-rate (WSR) maximization problem of users in an IRS-aided multiuser multiple-input single-output (MISO) downlink communication system. Aiming at the above problem, we propose a low-complexity linear alternating direction multiplier method (LADMM) that can be operated in parallel to solve this problem. The numerical results show that only adjusting the parameters in the proposed algorithm can make the user's WSR have better performance.

Citation Download Citation

Shanjie Cai and Yajun Wang "A low-complexity algorithm for maximizing the weighted sum-rate of intelligent reflecting surface aided wireless communication", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127481P (10 August 2023); https://doi.org/10.1117/12.2689903

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