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Compressive Sensing for Reducing Feedback in MIMO Broadcast Channels

Summary: Compressive Sensing for Reducing Feedback in
MIMO Broadcast Channels
Syed T. Qaseem1
and Tareq Y. Al-Naffouri2
1LCC, Riyadh, Saudi Arabia
2King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
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.


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


Collections: Engineering