Compressive sensing for feedback reduction in MIMO Broadcast Channels

Syed T. Qaseem, Tareq Al-Naffouri, Samir Alghadhban

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 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 languageEnglish (US)
Title of host publicationICT 2010
Subtitle of host publication2010 17th International Conference on Telecommunications
Pages356-361
Number of pages6
DOIs
StatePublished - Jul 19 2010
Event2010 17th International Conference on Telecommunications, ICT 2010 - Doha, Qatar
Duration: Apr 4 2010Apr 7 2010

Publication series

NameICT 2010: 2010 17th International Conference on Telecommunications

Other

Other2010 17th International Conference on Telecommunications, ICT 2010
CountryQatar
CityDoha
Period04/4/1004/7/10

ASJC Scopus subject areas

  • Computer Networks and Communications

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