MIMO Broadcast Channels with Finite Rate Feedback

Abstract

Multiple transmit antennas in a downlink channel can provide tremendous capacity (i.e. multiplexing) gains, even when receivers have only single antennas. However, receiver and transmitter channel state information is generally required. In this paper, a system where each receiver has perfect channel knowledge, but the transmitter only receives quantized information regarding the channel instantiation is analyzed. The well known zero forcing transmission technique is considered, and simple expressions for the throughput degradation due to finite rate feedback are derived. A key finding is that the feedback rate per mobile must be increased linearly with the SNR (in dB) in order to achieve the full multiplexing gain, which is in sharp contrast to point-to-point MIMO systems in which it is not necessary to increase the feedback rate as a function of the SNR.

Submitted to IEEE Trans. Information Theory, 34 pages

References in corpus (2)

• High SNR Analysis for MIMO Broadcast Channels: Dirty Paper Coding vs. Linear Precoding
• A Feedback Reduction Technique for MIMO Broadcast Channels

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• Performance Analysis and Optimization for Interference Alignment over MIMO Interference Channels with Limited Feedback
• Robust SINR-Constrained Symbol-Level Multiuser Precoding with Imperfect Channel Knowledge
• Opportunistic Downlink Interference Alignment
• Uplink Downlink Rate Balancing and throughput scaling in FDD Massive MIMO Systems