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Performance of the Zero Forcing precoding MIMO broadcast systems with channel estimation errors

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Journal of Electronics (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 capacity and BER performance are consistent with those of the perfect Channel State Information (CSI) with only a performance degradation.

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Author information

Authors and Affiliations

  1. National Mobile Communications Research Lab, Southeast University, Nanjing, 210096, China

    Wang Jing, Liu Zhanli, Wang Yan & You Xiaohu

Authors
  1. Wang Jing
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  2. Liu Zhanli
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  3. Wang Yan
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  4. You Xiaohu
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Additional information

Supported in part by the National Natural Science Foundation of China (No.60496311).

Communication author: Wang Jing, born in 1977, female, Ph.D. candidate. National Mobile Communications Research Lab, Southeast University, Nanjing 210096, China.

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Wang, J., Liu, Z., Wang, Y. et al. Performance of the Zero Forcing precoding MIMO broadcast systems with channel estimation errors. J. of Electron.(China) 24, 490–495 (2007). https://doi.org/10.1007/s11767-006-0070-0

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  • DOI: https://doi.org/10.1007/s11767-006-0070-0

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