Energy Efficient Power Allocation in Massive MIMO Systems with Power Limited Users

TL;DR

This paper proposes an energy-efficient power allocation method for massive MIMO systems that optimizes user admission and power usage to improve overall system performance.

Contribution

It introduces a novel algorithm that maximizes energy efficiency by considering user power requirements and system constraints in massive MIMO downlink scenarios.

Findings

Proposed algorithm outperforms existing methods in simulations.

Maximizes energy efficiency by balancing user power needs and transmission limits.

Effectively manages user admission based on power constraints.

Abstract

In this paper, we investigate energy-efficient (EE) power allocation (PA) for a special downlink scenario of the massive multiple-input multiple-output (MIMO) systems. We consider a minimum power required for each user to ensure that the quality of service (QoS) for each user is satisfied. In this method, a comparison between the sum of minimum power required by users and the maximum transmission power is done to determine whether maximizing EE is possible or not. If the sum of the minimum power required by users is less than the maximum transmission power, we maximize EE. Otherwise, the number of admitted users in a cluster is maximized. In both cases, the simulation results show that the proposed algorithm has better performance than similar algorithms.