Multi-User Diversity vs. Accurate Channel Feedback for MIMO Broadcast Channels
Niranjay Ravindran, Nihar Jindal

TL;DR
This paper compares multi-user diversity and high-quality channel feedback in MIMO broadcast channels, showing that high-rate feedback from fewer users yields better performance than low-rate feedback from many users.
Contribution
It demonstrates that high-rate feedback from a small subset of users outperforms low-rate feedback from many users in MIMO downlink channels with limited feedback capacity.
Findings
High-rate feedback from fewer users significantly outperforms low-rate feedback from many users.
Capacity increases only double logarithmically with the number of users.
Marginal benefit of feedback is substantial until CSI becomes nearly perfect.
Abstract
A multiple transmit antenna, single receive antenna (per receiver) downlink channel with limited channel feedback is considered. Given a constraint on the total system-wide channel feedback, the following question is considered: is it preferable to get low-rate feedback from a large number of receivers or to receive high-rate/high-quality feedback from a smaller number of (randomly selected) receivers? Acquiring feedback from many users allows multi-user diversity to be exploited, while high-rate feedback allows for very precise selection of beamforming directions. It is shown that systems in which a limited number of users feedback high-rate channel information significantly outperform low-rate/many user systems. While capacity increases only double logarithmically with the number of users, the marginal benefit of channel feedback is very significant up to the point where the CSI is…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Network Optimization
