Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.dsp.2011.01.003
Title: Channel estimation and user selection in the MIMO broadcast channel
Authors: Davis, L.M.
Hanly, S.V. 
Tune, P.
Bhaskaran, S.R.
Keywords: Broadcast channel
Channel estimation
Compressed sensing
MIMO
Sparse signal recovery
User selection
Issue Date: Sep-2011
Citation: Davis, L.M., Hanly, S.V., Tune, P., Bhaskaran, S.R. (2011-09). Channel estimation and user selection in the MIMO broadcast channel. Digital Signal Processing: A Review Journal 21 (5) : 608-618. ScholarBank@NUS Repository. https://doi.org/10.1016/j.dsp.2011.01.003
Abstract: In this paper, we propose a method for user selection and channel estimation for the multiple-input multiple-output (MIMO) broadcast channel for the downlink of a cellular mobile or local-area wireless communication system. A distributed self-selection procedure is combined with a code-division multiple access (CDMA) uplink signaling strategy to reduce the uplink signaling bandwidth, and the computational complexity of user selection at the base station. We exploit recent advances in sparse signal recovery, which we apply to the uplink multi-user detection and channel estimation problems to reduce the signaling bandwidth. We establish that full channel state information (and not just channel quality) for each self-selecting user can be obtained at the base station via a compressed-sensing technique with no increase in overhead for the uplink feedback channel. We demonstrate the new method as a medium access technique for MIMO downlink broadcast with transmitter precoding and linear receiver processing. © 2011 Elsevier Inc. All rights reserved.
Source Title: Digital Signal Processing: A Review Journal
URI: http://scholarbank.nus.edu.sg/handle/10635/69578
ISSN: 10512004
DOI: 10.1016/j.dsp.2011.01.003
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