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Compressive Sensing for Feedback Reduction in MIMO Broadcast Channels
 

Summary: 1
Compressive Sensing for Feedback Reduction
in MIMO Broadcast Channels
Syed T. Qaseem1
, Tareq Y. Al-Naffouri2
, Mohammed E. Eltayeb3
and Hamid Reza Bahrami3
1
LLC Riyadh, Saudi Arabia, 2
Electrical Engineering Department, King Fahd University of
Petroleum and Minerals, Saudi Arabia
3
Department of Electrical and Computer Engineering, The University of Akron, Ohio
Abstract
We propose a generalized feedback model and compressive sensing based opportunistic feedback
schemes for feedback resource reduction in MIMO Broadcast Channels under the assumption that both
uplink and downlink channels undergo block Rayleigh fading. Feedback resources are shared and are
opportunistically accessed by users who are strong, i.e. users whose channel quality information is above a
certain fixed threshold. Strong users send the same feedback information on all shared channels. They are
identified by the base station via compressive sensing. Both analog and digital feedbacks are considered.

  

Source: Al-Naffouri, Tareq Y. - Electrical Engineering Department, King Fahd University of Petroleum and Minerals

 

Collections: Engineering