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Downlink Training Overhead Reduction Technique for FDD Massive MIMO Systems

Title
Downlink Training Overhead Reduction Technique for FDD Massive MIMO Systems
Authors
CHOI, JUNILMAYOUCHE, ABDERRAHMANEMETREF, ADEL
POSTECH Authors
CHOI, JUNIL
Date Issued
Aug-2018
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Abstract
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.
URI
http://oasis.postech.ac.kr/handle/2014.oak/92156
DOI
10.1109/LSP.2018.2847560
ISSN
1070-9908
Article Type
Article
Citation
IEEE SIGNAL PROCESSING LETTERS, vol. 25, no. 8, page. 1201 - 1205, 2018-08
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 CHOI, JUNIL
Dept of Electrical Enginrg
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