Channel estimation and user selection in the MIMO broadcast channel

Linda M. Davis, Stephen V. Hanly, Paul Tune, Sibi Raj Bhaskaran

Research output: Contribution to journalArticleResearchpeer-review

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.

LanguageEnglish
Pages608-618
Number of pages11
JournalDigital Signal Processing: A Review Journal
Volume21
Issue number5
DOIs
Publication statusPublished - Sep 2011
Externally publishedYes

Fingerprint

Channel estimation
Base stations
Bandwidth
Compressed sensing
Multiuser detection
Channel state information
Code division multiple access
Transmitters
Computational complexity
Communication systems
Feedback
Recovery
Processing

Cite this

Davis, Linda M. ; Hanly, Stephen V. ; Tune, Paul ; Bhaskaran, Sibi Raj. / Channel estimation and user selection in the MIMO broadcast channel. In: Digital Signal Processing: A Review Journal. 2011 ; Vol. 21, No. 5. pp. 608-618.
@article{ff6708f5881f4423ba2d8e691b81d500,
title = "Channel estimation and user selection in the MIMO broadcast channel",
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.",
author = "Davis, {Linda M.} and Hanly, {Stephen V.} and Paul Tune and Bhaskaran, {Sibi Raj}",
year = "2011",
month = "9",
doi = "10.1016/j.dsp.2011.01.003",
language = "English",
volume = "21",
pages = "608--618",
journal = "Digital Signal Processing: A Review Journal",
issn = "1051-2004",
publisher = "Elsevier",
number = "5",

}

Channel estimation and user selection in the MIMO broadcast channel. / Davis, Linda M.; Hanly, Stephen V.; Tune, Paul; Bhaskaran, Sibi Raj.

In: Digital Signal Processing: A Review Journal, Vol. 21, No. 5, 09.2011, p. 608-618.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Channel estimation and user selection in the MIMO broadcast channel

AU - Davis, Linda M.

AU - Hanly, Stephen V.

AU - Tune, Paul

AU - Bhaskaran, Sibi Raj

PY - 2011/9

Y1 - 2011/9

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=79960917061&partnerID=8YFLogxK

U2 - 10.1016/j.dsp.2011.01.003

DO - 10.1016/j.dsp.2011.01.003

M3 - Article

VL - 21

SP - 608

EP - 618

JO - Digital Signal Processing: A Review Journal

T2 - Digital Signal Processing: A Review Journal

JF - Digital Signal Processing: A Review Journal

SN - 1051-2004

IS - 5

ER -