Demand-Matching Spectrum Sharing Game for Noncooperative Cognitive Radio Network

被引:0
作者
Liu, Jishun [1 ]
Shen, Lianfeng [1 ]
Song, Tiecheng [1 ]
Wang, Xiaoxia [2 ]
机构
[1] Southeast Univ, Natl Mobile Comm Res Lab, Nanjing, Peoples R China
[2] Southeast Univ, Inst RF & OE ICs, Nanjing, Peoples R China
来源
2009 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP 2009) | 2009年
基金
中国国家自然科学基金;
关键词
cognitive radio; spectrum sharing; demand-matching; game theory; Nash equilibrium; DYNAMIC GAME;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In cognitive radio network, efficient spectrum sharing is one of the important functions which can enhance the overall spectrum utilization of whole network However, it is still an unexplored issue to make unlicensed users choose the most suitable spectrum according to user demand and the spectrum characteristics. In this paper, a new Demand-Matching Spectrum Sharing (DMSS) algorithm based on game theory for noncooperative cognitive radio network is proposed. Firstly, the model of the matching factors between the user demand and the spectrum characteristics is built up. Then by adopting demand-matching factor, the DMSS game is proposed and Nash equilibrium is solved by Nelder-Mead direct search method. DMSS enables each unlicensed user to access multiple appropriate channels by maximizing its own payoff. Numeral results reveal that DMSS achieves high performance in spectrum utilization percentage and spectrum efficiency of cognitive radio network when it reaches Nash equilibrium.
引用
收藏
页码:1099 / +
页数:2
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