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	Evolutionary channel state information feedback control for interference alignment
	Song, Lingyang ; Han, Zhu ; Sun, Shaohui ; Jiao, Bingli
	2011
英文摘要	Interference alignment (IA) has been well recognized as a promising technique to obtain a large multiplexing gain in multiple input multiple output (MIMO) interference channels. However, most of the existing IA schemes require global channel state information (CSI) at the transmitter to design precoding vectors, which causes a large amount of feedback bits. To reduce the feedback overhead, in this paper, we model the evolution and dynamic behavior of the CSI feedback rate control problem using the evolutionary game theory over orthogonal feedback channels with a total bandwidth constraint. The game utility is defined as the performance gain by CSI feedback minus the price as a linear function of the CSI feedback rate, subject to an overall bandwidth constraint. Then, an algorithm for the implementation of the evolution process is also presented. The proposed game-theoretic framework for modeling the interactions among the feedback of multiple users can be used to efficiently control the CSI feedback amount while achieving fairness among all the mobile receivers. ? 2011 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/ACSSC.2011.6190234
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/295152]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Song, Lingyang,Han, Zhu,Sun, Shaohui,et al. Evolutionary channel state information feedback control for interference alignment. 2011-01-01.

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