Energy Efficient Power Allocation in Massive MIMO NOMA Systems Based on SIF Using Cell Division Technique

TL;DR

This paper proposes an energy-efficient power allocation method for massive MIMO NOMA systems using cell division and SIF-based iterative optimization, significantly improving energy efficiency in downlink transmissions.

Contribution

It introduces a novel cell division technique combined with SIF-based iterative algorithm for optimal power allocation in massive MIMO NOMA systems.

Findings

The proposed algorithm outperforms existing methods in energy efficiency.

Cell division based on user distance improves power allocation.

Simulation results confirm the effectiveness of the proposed scheme.

Abstract

In this paper, we investigate energy-efficient power allocation for the downlink of the massive multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) systems. In our proposed scheme, we divide a cell into two zones. The first area is for users whose distance from the base station (BS) is less than half of the radius of cell and the second area is for users whose distance from BS is more than half of the radius of cell. Based on distance of users from BS and the number of users in each area, we dedicate an amount of power for each user. We also use standard interference function (SIF) to propose a new iterative algorithm to solve the optimization problem and obtain the optimal power allocation scheme. Simulation results show that the proposed algorithm outperforms other algorithms from the energy efficiency (EE) point of view.