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Scheduling and power control in statistical beamforming networks using B bits of feedback

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3 Author(s)
Sagnik Ghosh ; University of California, San Diego, Electrical and Computer Engineering, 9500 Gilman Dr., La Jolla, 92093, USA ; Bhaskar D. Rao ; James R. Zeidler

In this work, we develop limited feedback techniques that utilize both Channel State Information (CSI) and Channel Distribution Information (CDI) for communication in multiuser MIMO beamforming networks with SINR constraints on the links. We minimize power in the network using a CDI-based algorithm, and then use limited CSI feedback to improve on this scheme by reducing power consumption further and transmit opportunistically. We study three cases of the CSI feedback channel-with one bit of bandwidth, with infinite bits, and with B bits. We develop feedback techniques for the one-bit and infinite-bit cases, and then derive the optimal quantizer for the B-bit case. Our results show that significant power reduction can be achieved using a small number of bits.

Published in:

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Date of Conference:

25-30 March 2012