Game Theoretic Subcarrier and Power Allocation for Wireless OFDMA Networks  

作　　者：Zhang, Guo-Peng  Zhong, Ya-Li  Ding, En-Jie 

机构地区：[1] Internet of Things Research Center, China University of Mining and Technology, Xuzhou 221008, China

出　　处：《International Journal of Automation and computing》2012年第4期414-419,共6页国际自动化与计算杂志（英文版）

基　　金：supported by National Natural Science Foundation of China (No.60972059);Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions;Fundamental Research Funds for the Central Universities of China (No.2010QNA27);China Postdoctoral Science Foundation(No.20100481185);Postdoctoral Research Funds of Jiangsu Province(No.1101108C);Postdoctoral Fellowship Program of the China Scholarship Council

摘　　要：This paper proposes a bargaining game theoretic resource(including the subcarrier and the power) allocation scheme for wireless orthogonal frequency division multiple access(OFDMA) networks.We define a wireless user s payoff as a function of the achieved data-rate.The fairness resource allocation problem can then be modeled as a cooperative bargaining game.The objective of the game is to maximize the aggregate payoffs for the users.To search for the Nash bargaining solution(NBS) of the game,a suboptimal subcarrier allocation is performed by assuming an equal power allocation.Thereafter,an optimal power allocation is performed to maximize the sum payoff for the users.By comparing with the max-rate and the max-min algorithms,simulation results show that the proposed game could achieve a good tradeoff between the user fairness and the overall system performance.This paper proposes a bargaining game theoretic resource(including the subcarrier and the power) allocation scheme for wireless orthogonal frequency division multiple access(OFDMA) networks.We define a wireless user s payoff as a function of the achieved data-rate.The fairness resource allocation problem can then be modeled as a cooperative bargaining game.The objective of the game is to maximize the aggregate payoffs for the users.To search for the Nash bargaining solution(NBS) of the game,a suboptimal subcarrier allocation is performed by assuming an equal power allocation.Thereafter,an optimal power allocation is performed to maximize the sum payoff for the users.By comparing with the max-rate and the max-min algorithms,simulation results show that the proposed game could achieve a good tradeoff between the user fairness and the overall system performance.

关 键 词：Orthogonal frequency division multiple access(OFDMA) resource allocation cooperative bargaining game theory Nash bargaining solution quality of service(QoS). 

分 类 号：TN929.531[电子电信—通信与信息系统] O225[电子电信—信息与通信工程]