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

Abstract EN

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.