Nan, Y, Sun, X and Zhang, L (2017) Decision Aided Uplink Compressive Channel Estimation for Massive MIMO Systems. Wireless Personal Communications, 96 (1). pp. 153-162. ISSN 0929-6212
Abstract
Thank to the observation that in massive multi-input multi-output systems, the channels associated with different base station antennas may share common sparse support, the significant path delays can be accurately captured by only few pilots, leading to a reduction of pilot overhead. However, when the number of pilots is small, the path gains can not be accurately estimated and this limits the system performance. To solve this problem, in this paper we propose a decision aided compressive sensing based channel estimation scheme, which utilizes the decoded data to refine the channel estimation. This scheme can effectively improve the channel estimation without increasing the length of pilot sequence, which is confirmed by both analyses and simulation results.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Science+Business Media New York 2017. This is an author produced version of a paper published in Wireless Personal Communications. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via https://doi.org/10.1007/s11277-017-4159-6. |
Keywords: | Massive MIMO; Channel estimation; 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: | 30 Jun 2017 15:17 |
Last Modified: | 26 Apr 2018 00:38 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/s11277-017-4159-6 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:118443 |