Robust precoding design for massive MISO downlink

This paper considers the design of the beamformers for a multiple-input single-output (MISO) downlink system that seeks to mitigate the impact of the imperfections in the channel state information (CSI) that is available at the base station (BS). The goal of the design is to minimize the outage probability of specified signal-to-interference-and-noise ratio (SINR) targets, while satisfying per-antenna power constraints (PAPCs), and to do so at a low computational cost. Based on insights from the offset maximization technique for robust beamforming, and observations regarding the structure of the optimality conditions, low-complexity iterative algorithms that involve the evaluation of closed-form expressions are developed. To further reduce the computational cost, algorithms are developed for per-antenna power-constrained variants of the zero-forcing (ZF) and maximum ratio transmission (MRT) beamforming directions. In the MRT case, our low-complexity version for systems with a large number of antennas may be of independent interest. The proposed algorithms are extended to systems with both PAPCs and a total power constraint. Simulation results show that the proposed robust designs can provide substantial gains in the outage probability while satisfying the PAPCs.Index Terms-Broadcast channel, downlink beamforming, robust precoding, outage, per-antenna power constraints, massive MIMO, zero-forcing, maximum ratio transmission.

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Robust precoding design for massive MISO downlink

Cited by 2 publications

References 18 publications

Outage-Constrained Transceiver Power Loading: A Deep Learning Approach to Robust Massive MIMO Downlink

Outage-Constrained Transceiver Power Loading: A Deep Learning Approach to Robust Massive MIMO Downlink

Low-Complexity Robust MISO Downlink Precoder Design With Per-Antenna Power Constraints

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