Autonomous Transmission Power Decision Strategy for Energy Efficient Operation of a Dense Small Cell Network

Jaesung Park,Heejung Byun

doi:10.1155/2018/6472982

Abstract

Smart interference management methods are required to enhance the throughput, coverage, and energy efficiency of a dense small cell network. In this paper, we propose a transmit power control for energy efficient operation of a dense small cell network. We cast the power control problem as a noncooperative game to satisfy the design requirement that small cells do not need any information exchange among them. We analyze the sufficient condition for the existence of a Nash equilibrium (NE) state of the proposed game. We also analyze that the NE state is unique by transforming the original nonlinear fractional programming problem into a nonlinear parametric programming problem. Through simulation studies, we verify our analysis results. In addition, we show that the proposed method achieves higher energy efficiency of a network and balances the energy efficiency among cells more evenly than the methods based on the AIMD (additive increase and multiplicative decrease) algorithm.

Highlights

The amount of data traffic transferred through wireless networks has been increased exponentially and the growth rate is expected to increase in the future [1]
Following the timescale separation approach [18, 19], we focus on the power control problem for energy efficient operation of a dense small cell network (DSCN) by Wireless Communications and Mobile Computing assuming that the clusters of active cells and the service order of user equipment (UE) in each cell are determined
In this paper, we propose a noncooperative power control game model for energy efficient operation of a DSCN even if each cell behaves in a self-interested way without any message exchange with other cells

Summary

Introduction

The amount of data traffic transferred through wireless networks has been increased exponentially and the growth rate is expected to increase in the future [1]. Following the timescale separation approach [18, 19], we focus on the power control problem for energy efficient operation of a DSCN by Wireless Communications and Mobile Computing assuming that the clusters of active cells and the service order of UEs in each cell are determined. The authors in [27] propose an energy-efficient power allocation and wireless backhaul bandwidth allocation for a small cell network using OFDMA. They devise algorithms for the original non-convex problem so that each small cell can jointly determine the transmit power for serving UEs and the bandwidth for backhauling.

System Model

Power Control Game

Performance Evaluation