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 sum-rate throughput as that achieved by dedicated feedback schemes, but with feedback channels growing only logarithmically with number of users.
Year
DOI
Venue
2010
10.1109/ICC.2010.5502530
Communications
Keywords
Field
DocType
compressed sensing,channel state information,protocols,base station,broadcasting,mimo,throughput,rayleigh fading,downlink,base stations
Broadcasting,Base station,Rayleigh fading,Computer science,Computer network,MIMO,Communication channel,Throughput,Channel state information,Telecommunications link
Conference
ISSN
ISBN
Citations 
1550-3607
978-1-4244-6402-9
8
PageRank 
References 
Authors
0.51
7
2
Name
Order
Citations
PageRank
Syed T. Qaseem180.51
Al-Naffouri, T.Y.216112.05