Compressive sensing for reducing feedback in MIMO broadcast channels

Syed T. Qaseem; Tareq Y. Al-Naffouri

doi:10.1109/ICC.2010.5502530

Compressive sensing for reducing feedback in MIMO broadcast channels

Syed T. Qaseem, Tareq Y. Al-Naffouri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Scopus citations

Abstract

We propose a generic feedback channel model, and compressive sensing based opportunistic feedback protocol for feedback resource (channels) reduction in MIMO Broadcast Channels under the assumption that both feedback and downlink channels are noisy and undergo block Rayleigh fading. The feedback resources are shared and are opportunistically accessed by users who are strong (users above a certain fixed threshold). Strong users send same feedback information on all shared channels. They are identified by the base station via compressive sensing. The proposed protocol is shown to achieve the same sumrate throughput as that achieved by dedicated feedback schemes, but with feedback channels growing only logarithmically with number of users.

Original language	English (US)
Title of host publication	2010 IEEE International Conference on Communications, ICC 2010
DOIs	https://doi.org/10.1109/ICC.2010.5502530
State	Published - 2010
Externally published	Yes
Event	2010 IEEE International Conference on Communications, ICC 2010 - Cape Town, South Africa Duration: May 23 2010 → May 27 2010

Other

Other	2010 IEEE International Conference on Communications, ICC 2010
Country/Territory	South Africa
City	Cape Town
Period	05/23/10 → 05/27/10

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

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10.1109/ICC.2010.5502530

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title = "Compressive sensing for reducing feedback in MIMO broadcast channels",

abstract = "We propose a generic feedback channel model, and compressive sensing based opportunistic feedback protocol for feedback resource (channels) reduction in MIMO Broadcast Channels under the assumption that both feedback and downlink channels are noisy and undergo block Rayleigh fading. The feedback resources are shared and are opportunistically accessed by users who are strong (users above a certain fixed threshold). Strong users send same feedback information on all shared channels. They are identified by the base station via compressive sensing. The proposed protocol is shown to achieve the same sumrate throughput as that achieved by dedicated feedback schemes, but with feedback channels growing only logarithmically with number of users.",

author = "Qaseem, {Syed T.} and Al-Naffouri, {Tareq Y.}",

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AU - Al-Naffouri, Tareq Y.

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N2 - We propose a generic feedback channel model, and compressive sensing based opportunistic feedback protocol for feedback resource (channels) reduction in MIMO Broadcast Channels under the assumption that both feedback and downlink channels are noisy and undergo block Rayleigh fading. The feedback resources are shared and are opportunistically accessed by users who are strong (users above a certain fixed threshold). Strong users send same feedback information on all shared channels. They are identified by the base station via compressive sensing. The proposed protocol is shown to achieve the same sumrate throughput as that achieved by dedicated feedback schemes, but with feedback channels growing only logarithmically with number of users.

AB - We propose a generic feedback channel model, and compressive sensing based opportunistic feedback protocol for feedback resource (channels) reduction in MIMO Broadcast Channels under the assumption that both feedback and downlink channels are noisy and undergo block Rayleigh fading. The feedback resources are shared and are opportunistically accessed by users who are strong (users above a certain fixed threshold). Strong users send same feedback information on all shared channels. They are identified by the base station via compressive sensing. The proposed protocol is shown to achieve the same sumrate throughput as that achieved by dedicated feedback schemes, but with feedback channels growing only logarithmically with number of users.

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U2 - 10.1109/ICC.2010.5502530

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M3 - Conference contribution

AN - SCOPUS:77955361342

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BT - 2010 IEEE International Conference on Communications, ICC 2010

T2 - 2010 IEEE International Conference on Communications, ICC 2010

Y2 - 23 May 2010 through 27 May 2010

ER -

Compressive sensing for reducing feedback in MIMO broadcast channels

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