Title: Improve energy efficiency and minimise BER in MIMO-NOMA system with max-min power control algorithm

Authors: Mancharla Ravi; Tasher Ali Sheikh; Yaka Bulo

Addresses: Department of Electronics and Communication Engineering, National Institute of Technology, Arunachal Pradesh-791113, India ' Department of Electronics and Telecommunication Engineering, Residensial Girls' Polytechnic, Golaghat, Assam-785702, India ' Department of Electronics and Communication Engineering, National Institute of Technology, Arunachal Pradesh-791113, India

Abstract: In this paper, we proposed a max-min power control algorithm (MMPCA) with MIMO-NOMA to optimise the resources (radio resource) in MIMO-NOMA system. When the multi-user equipment is present in a network, the user which is far from the base station (BS) is not able to decode its signal which is because of the bad channel condition of the far user. This leads to error propagation from one user to the remaining other users and leads to unsuccessful data transmission and delay in the communication process. In order to deal with this problem, we will implement MMPCA where the far user/cell edge user is allocated more power so that it can decode its original signal successfully. Thus, minimising the BER of the system, and reducing the probability of outage. The simulation result shows that the optimum sum rate, energy efficiency (EE), lower outage probability, and minimum BER are achieved with the proposed algorithm.

Keywords: 5G-NR; MIMO-NOMA; max-min power control algorithm; MMPCA; energy efficiency; outage probability.

DOI: 10.1504/IJSCC.2023.131968

International Journal of Systems, Control and Communications, 2023 Vol.14 No.3, pp.254 - 273

Received: 24 Oct 2022
Accepted: 08 Jan 2023
Published online: 05 Jul 2023 *

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