Energy Efficient Power Allocation in Massive MIMO Systems with Mismatch Channel Estimation Error

TL;DR

This paper proposes an energy-efficient power allocation method for massive MIMO downlink systems that accounts for RF mismatch and channel estimation errors, optimizing user power with QoS constraints.

Contribution

It introduces a novel power allocation algorithm considering RF circuit effects and channel mismatch, enhancing system performance in realistic massive MIMO scenarios.

Findings

Optimized power allocation improves energy efficiency.

RF mismatch significantly impacts system performance.

Simulation results confirm the effectiveness of the proposed algorithm.

Abstract

In this paper, we investigate the energy efficient power allocation for the downlink in the massive multiple-input multiple-output (MIMO) systems under zero-forcing (ZF) receiver. The radio frequencies (RF) that have a significant effect on system performance has not been considered in most of previous researches. Increasing of random changes in RF creates a mismatch channel. We must consider the effects of the RF circuit for the performance evaluation of the massive MIMO systems. We also consider the rate of system in the presence of estimation error, similar to real world, with the quality of service (QoS) constraint and the transfer capacity of users. In the scenario of this paper, users are divided into two groups. The first group are users who have stronger channel conditions or in other words are located in the center of the cell, and the second group belongs to users who have weak channel conditions and are located at the edge of the cell. By using Karush-Kuhn-Tucker (KKT) conditions, we obtain the optimal power of users. The results of implementation and simulations are given to confirm the efficiency of the proposed algorithm.