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Covariance Matrix Estimation for Massive MIMO
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DOI：10.1109/LSP.2018.2805725.png)
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摘要
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We propose a novel pilot structure for covariance matrix estimation in massive multiple-input multiple-output systems in which each user transmits two pilot sequences, with the second pilot sequence multiplied by a random phase shift. The covariance matrix of a particular user is obtained by computing the sample cross-correlation of the channel estimates obtained fromthe two pilot sequences. This approach relaxes the requirement that all the users transmit their uplink pilots over the same set of symbols. We derive expressions for the achievable rate and themean-squared error of the covariance matrix estimate when the proposed method is used with staggered pilots. The performance of the proposed method is compared with existing methods through simulations.
Keyword:
Covariance estimation
massive multiple-input multiple-output (MIMO)
pilot contamination
staggered pilots
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期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
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