Pilot design and AMP-based channel estimation for massive MIMO-OFDM uplink transmission

This paper investigates the pilot design and channel estimation issue for massive MIMO-OFDM uplink transmission. By exploiting the channel sparsity in the beam-delay domain, the channel estimation issue for multiuser uplink transmission is formed into a sparse compressed sensing (CS) model. We propo...

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Bibliographic Details
Published in2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) pp. 1 - 7
Main Authors Xiaying Wu, Lixin Gu, Wenjin Wang, Xiqi Gao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
Subjects
Approximation algorithms
Bayes methods
Channel estimation
Downlink
Inference algorithms
MIMO
Uplink
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ISSN2166-9589
DOI10.1109/PIMRC.2016.7794663

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Summary:This paper investigates the pilot design and channel estimation issue for massive MIMO-OFDM uplink transmission. By exploiting the channel sparsity in the beam-delay domain, the channel estimation issue for multiuser uplink transmission is formed into a sparse compressed sensing (CS) model. We propose a cyclic shift pilot scheme, which satisfies Restricted Isometry Property under the CS frameworks. As the sparsity is efficiently utilized, the proposed scheme significantly reduces the pilot overhead, especially when the number of users becomes large. Furthermore, based on approximate message passing (AMP) algorithm, an approximate Bayesian inference can be conducted for channel estimation with low complexity. Simulation results show that the proposed AMP-based algorithm with the pilot scheme outperforms several existing baselines, especially when the BS is equipped with large antenna arrays.
ISSN:2166-9589
DOI:10.1109/PIMRC.2016.7794663