Downlink Training Overhead Reduction Technique for FDD Massive MIMO Systems

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In this letter, a novel minimum mean square error (MSE) based channel estimation framework is proposed to reduce the downlink channel training overhead in frequency division duplexing massive multiple-input multiple-output systems, where the overhead reduction is achieved through training only a subset of antennas and by exploiting the spatial correlation between the antennas at the base station. Closed-form expressions of the analytical MSE and the asymptotic MSE of the system are obtained. Furthermore, a perfect match between theoretical and simulation results is observed, where the channel training overhead can be reduced by half with an acceptable performance.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2018-08
Language
English
Article Type
Article
Citation

IEEE SIGNAL PROCESSING LETTERS, v.25, no.8, pp.1201 - 1205

ISSN
1070-9908
DOI
10.1109/LSP.2018.2847560
URI
http://hdl.handle.net/10203/267356
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