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作 者:DU Juan KANG Gui-xia ZHANG Ping
机构地区:[1]Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China [2]School of Information Science and Engineering, Lanzhou University, Lanzhou 730000, China
出 处:《The Journal of China Universities of Posts and Telecommunications》2009年第2期20-23,34,共5页中国邮电高校学报(英文版)
基 金:supported by the National Natural Science Foundationof China(60502038);the Hi-Tech Research and Development Program of China(2006AA01Z272,2006AA01Z283);Beijing New Star Program of Science and Technology,China(2007A046);111 Project of Ministry of Education(MOE)of China(B07005)
摘 要:This article investigates transmitter design in Rayleigh fading multiple input multiple output (MIMO) channels with spatial correlation when there are channel uncertainties caused by a combined effect of channel estimation error and limited feedback. To overcome the high computational complexity of the optimal transmit power allocation, a simple and suboptimal allocation is proposed by exploiting the transmission constraint and differentiating a bound based on Jensen inequality on the channel capacity. The simulation results show that the mutual information corresponding to the proposed power allocation closely approaches the channel capacity corresponding to the optimal one and meanwhile the computational complexity is greatly reduced.This article investigates transmitter design in Rayleigh fading multiple input multiple output (MIMO) channels with spatial correlation when there are channel uncertainties caused by a combined effect of channel estimation error and limited feedback. To overcome the high computational complexity of the optimal transmit power allocation, a simple and suboptimal allocation is proposed by exploiting the transmission constraint and differentiating a bound based on Jensen inequality on the channel capacity. The simulation results show that the mutual information corresponding to the proposed power allocation closely approaches the channel capacity corresponding to the optimal one and meanwhile the computational complexity is greatly reduced.
关 键 词:MIMO capacity channel state information (CSI) channel estimation error covariance feedback mutual information power allocation
分 类 号:TN929.533[电子电信—通信与信息系统] TP273[电子电信—信息与通信工程]
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