Transmit Designs for the MIMO Broadcast Channel with Statistical CSI

Abstract

We investigate the multiple-input multiple-output broadcast channel with statistical channel state information available at the transmitter. The so-called linear assignment operation is employed, and necessary conditions are derived for the optimal transmit design under general fading conditions. Based on this, we introduce an iterative algorithm to maximize the linear assignment weighted sum-rate by applying a gradient descent method. To reduce complexity, we derive an upper bound of the linear assignment achievable rate of each receiver, from which a simplified closed-form expression for a near-optimal linear assignment matrix is derived. This reveals an interesting construction analogous to that of dirty-paper coding. In light of this, a low complexity transmission scheme is provided. Numerical examples illustrate the significant performance of the proposed low complexity scheme.

Accepted for IEEE Transaction on Signal Processing

References in corpus (3)

• Statistical Eigenmode Transmission over Jointly-Correlated MIMO Channels
• Linear Precoder Design for MIMO Interference Channels with Finite-Alphabet Signaling
• Linear Beamforming for the Spatially Correlated MISO broadcast channel

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• A Survey on MIMO Transmission with Discrete Input Signals: Technical Challenges, Advances, and Future Trends
• Low-Complexity MIMO Precoding with Discrete Signals and Statistical CSI
• Data-Aided Secure Massive MIMO Transmission under the Pilot Contamination Attack