A Distributed Power Control Algorithm for Energy Efficiency Maximization in Wireless Cellular Networks

TL;DR

This paper introduces a distributed power control algorithm that maximizes global energy efficiency in wireless cellular networks while ensuring minimum SINR for all users, outperforming existing methods and matching centralized solutions.

Contribution

A novel distributed iterative power control algorithm that maximizes energy efficiency with guaranteed SINR, converges to a unique fixed point, and matches centralized performance.

Findings

Algorithm outperforms existing distributed schemes

Converges to a unique fixed point

Achieves centralized algorithm performance

Abstract

In this paper, we propose a distributed power control algorithm for addressing the global energy efficiency (GEE) maximization problem subject to satisfying a minimum target SINR for all user equipments (UEs) in wireless cellular networks. We state the problem as a multi-objective optimization problem which targets minimizing total power consumption and maximizing total throughput, simultaneously, while a minimum target SINR is guaranteed for all UEs. We propose an iterative scheme executed in the UEs to control their transmit power using individual channel state information (CSI) such that the GEE is maximized in a distributed manner. We prove the convergence of the proposed iterative algorithm to its corresponding unique fixed point also shown by our numerical results. Additionally, simulation results demonstrate that our proposed scheme outperforms other algorithms in the literature and performs like the centralized algorithm executed in the base station and maximizes the GEE using the global CSI.