Nan, Y, Zhang, L and Sun, X (2015) Efficient Downlink Channel Estimation Scheme Based on Block-Structured Compressive Sensing for TDD Massive MU-MIMO Systems. IEEE Wireless Communications Letters, 4 (4). pp. 345-348. ISSN 2162-2337
Abstract
In this letter, an efficient channel estimation approach based on the emerging block-structured compressive sensing is proposed for the downlink massive multiuser (MU) MIMO system. By exploiting the block sparsity of channel matrix and channel reciprocity in TDD mode, the auxiliary information based block subspace pursuit (ABSP) algorithm is proposed to recover the downlink channels, where the path delays acquired from uplink training is utilized as the auxiliary information. Unlike traditional approaches where the channel estimation overhead is proportional to the number of BS antennas, the proposed approach could provide an accurate channel estimation approaching the performance bound while reduce the pilot overhead by nearly one-third.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015, IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. |
Keywords: | Massive MU-MIMO, channel estimation, block compressive sensing. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 May 2015 14:30 |
Last Modified: | 01 Mar 2019 18:02 |
Published Version: | http://dx.doi.org/10.1109/LWC.2015.2414933 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/LWC.2015.2414933 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:84537 |