Energy Efficient Water-Filling Power Allocation with Cell Division for Massive MIMO Systems

TL;DR

This paper introduces a novel power allocation scheme for massive MIMO downlink systems that combines water-filling and cell division to maximize energy efficiency, prioritizing users with better channels and farther users.

Contribution

It proposes a new combined water-filling and cell division approach with an iterative algorithm for energy-efficient power allocation in massive MIMO systems.

Findings

The proposed algorithm outperforms existing methods in energy efficiency.

Prioritizes users with better channels and farther users for power allocation.

Achieves higher energy efficiency through combined techniques.

Abstract

In this paper, we consider the power allocation problem for the downlink of the massive multiple-input multiple-output (MIMO) systems. We propose a new scheme by exploiting the water-filling algorithm in a cell with two zones. It is allocated more power to the farther users, and also users with better channel conditions receive more power in each zone. The users with better channel gain have a higher priority than others in the energy efficiency (EE) point of view. Combining the water-filling and cell division techniques in the MIMO systems leads to a reach EE maximization. We also use standard interference function (SIF) to propose a new iterative algorithm for solving the optimization problem and obtain an efficient power allocation scheme. Simulation results show that the proposed algorithm outperforms other similar algorithms from the EE point of view.