Compressive sensing for reducing feedback in MIMO broadcast channels

Syed T. Qaseem, Tareq Y. Al-Naffouri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish (US)
Title of host publication2010 IEEE International Conference on Communications, ICC 2010
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 IEEE International Conference on Communications, ICC 2010 - Cape Town, South Africa
Duration: May 23 2010May 27 2010

Other

Other2010 IEEE International Conference on Communications, ICC 2010
CountrySouth Africa
CityCape Town
Period05/23/1005/27/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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