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.

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multiplicative decrease algorithm transmit power control throughput coverage nonlinear fractional programming problem network energy efficiency interference management methods noncooperative game aimd additive increase nash equilibrium ne method dense small cell energy efficient operation of

Jaesung Park,Heejung Byun,.Autonomous Transmission Power Decision Strategy for Energy Efficient Operation of a Dense Small Cell Network. 2018 (),.

Jaesung Park,Heejung Byun,"Autonomous Transmission Power Decision Strategy for Energy Efficient Operation of a Dense Small Cell Network" 2018

Jaesung Park,Heejung Byun,"Autonomous Transmission Power Decision Strategy for Energy Efficient Operation of a Dense Small Cell Network"