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	Distributed MIMO network optimization based on duality and local message passing
	Liu, An ; Sabharwal, Ashutosh ; Liu, Youjian ; Xiang, Haige ; Luo, Wu
	2009
关键词	Multiple-Input Multiple-Output (MIMO) network Local message Passing Duality Rate optimization INTERFERENCE ALIGNMENT CHANNELS CAPACITY SYSTEMS
英文摘要	In a communication network, it is often impractical for each node to learn the global channel knowledge (network connectivity and channel state information of each link). In this paper, we address distributed rate optimization for Time-Division Duplex (TDD) Multiple-Input Multiple-Output (MIMO) networks when part of the local channel knowledge is learned via message passing between each transmitter and its intended receivers. The distributed optimization algorithm is based on a rate duality and the corresponding input covariance matrix transformation between the forward and reverse links of TDD MIMO networks under the assumption of global channel knowledge. Noting that the key information required by the proposed transformation is the interference-plus-noise covariance matrix, we propose a local covariance matrix transformation such that each node can distributedly optimize its input covariance matrix by only exchanging interferenceplus-noise covariance matrix locally. It is observed from the simulation that the proposed algorithm achieves a performance close to the one with global channel knowledge and outperforms the existing distributed algorithms. ?2009 IEEE.; EI; CPCI-S(ISTP); 795-802
语种	英语
出处	2009 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2009
DOI标识	10.1109/ALLERTON.2009.5394940
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/461556]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Liu, An,Sabharwal, Ashutosh,Liu, Youjian,et al. Distributed MIMO network optimization based on duality and local message passing. 2009-01-01.

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