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PERFORMANCE OF THE ZERO FORCING PRECODING MIMO BROADCAST SYSTEMS WITH CHANNEL ESTIMATION ERRORS
作者姓名:Wang  Jing  Liu  Zhanli  Wang  Yan  You  Xiaohu
作者单位:National Mobile Communications Research Lab,Southeast University,Nanjing 210096,China
基金项目:by the National Natural Science Foundation of China (No.60496311).
摘    要:In this paper, the effect of channel estimation errors upon the Zero Forcing (ZF) precoding Multiple Input Multiple Output Broadcast (MIMO BC) systems was studied. Based on the two kinds of Gaussian estimation error models, the performance analysis is conducted under different power allocation strategies. Analysis and simulation show that if the covariance of channel estimation errors is independent of the received Signal to Noise Ratio (SNR), imperfect channel knowledge deteriorates the sum capacity and the Bit Error Rate (BER) performance severely. However, under the situation of orthogonal training and the Minimum Mean Square Error (MMSE) channel estimation, the sum ca- pacity and BER performance are consistent with those of the perfect Channel State Information (CSI) with only a performance degradation.

关 键 词:零点强制  多输入多输出广播系统  信道估计误差  编码
收稿时间:17 April 2006
修稿时间:2006-04-172006-12-12

Performance of the Zero Forcing precoding MIMO broadcast systems with channel estimation errors
Wang Jing Liu Zhanli Wang Yan You Xiaohu.PERFORMANCE OF THE ZERO FORCING PRECODING MIMO BROADCAST SYSTEMS WITH CHANNEL ESTIMATION ERRORS[J].Journal of Electronics,2007,24(4):490-495.
Authors:Wang Jing  Liu Zhanli  Wang Yan  You Xiaohu
Affiliation:National Mobile Communications Research Lab, Southeast University, Nanjing 210096, China
Abstract:In this paper, the effect of channel estimation errors upon the Zero Forcing (ZF) precoding Multiple Input Multiple Output Broadcast (MIMO BC) systems was studied. Based on the two kinds of Gaussian estimation error models, the performance analysis is conducted under different power allocation strategies. Analysis and simulation show that if the covariance of channel estimation errors is independent of the received Signal to Noise Ratio (SNR), imperfect channel knowledge deteriorates the sum capacity and the Bit Error Rate (BER) performance severely. However, under the situation of orthogonal training and the Minimum Mean Square Error (MMSE) channel estimation, the sum ca- pacity and BER performance are consistent with those of the perfect Channel State Information (CSI) with only a performance degradation.
Keywords:Zero Forcing (ZF)  Multiple Input Multiple Output BroadCast (MIMO BC) system  Channel estimation errors  Sum capacity
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