Title: MOS-IRS: a novel minimum optimisation scheme based on IRS-assisted NOMA in wireless powered communication network
Authors: Ming Ren; Xin-An Tong; Zeyu Sun; Xu Meng
Addresses: Department of Mathematics and Physics, Luoyang Institute of Science and Technology, Luoyang, China ' Department of Mathematics and Physics, Luoyang Institute of Science and Technology, Luoyang, China ' Engineering Research Center of Henan Building Materials Big Data, Luoyang Institute of Science and Technology, Luoyang, China; National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, China ' Department of Mathematics and Physics, Luoyang Institute of Science and Technology, Luoyang, China
Abstract: A novel minimum optimisation scheme for IRS-assisted NOMA (MOS-IRS) is proposed to minimise the power of the power station. Firstly, optimisation problem of minimising power is constructed with the users' throughput requirements as constraints, and the optimisation variables are time allocation and IRS phase shift. Secondly, we simplify the optimisation problem and separate the phase shift optimisation problem for the wireless energy transfer (WET) and wireless information transfer (WIT) process. Then, the multi-variables optimisation problem is transformed into that with a single-variable, and the alternating optimisation method is used to solve the phase shift for the WET and WIT process. Finally, the optimal time allocation is obtained by using the functional extremum method with given IRS phase shift. Simulation results show that the required power of the proposed scheme is lower than that of the existing schemes for the same scenario when the other parameters are the same.
Keywords: non-orthogonal multiple access; NOMA; intelligent reflecting surface; resource allocation; time; phase shift.
International Journal of Embedded Systems, 2024 Vol.17 No.3/4, pp.237 - 250
Received: 30 Nov 2023
Accepted: 21 Apr 2024
Published online: 10 Feb 2025 *