Unraveling the Rank-One Solution Mystery of Robust MISO Downlink Transmit Optimization: A Verifiable Sufficient Condition via a New Duality Result
Wing-Kin Ma, Jiaxian Pan, Anthony Man-Cho So, and Tsung-Hui Chang

TL;DR
This paper provides a verifiable sufficient condition under which robust MISO downlink transmit optimization problems with uncertain CSI admit rank-one solutions, simplifying practical beamforming design.
Contribution
It introduces a novel duality framework that establishes a verifiable condition for rank-one solutions in robust MISO transmit optimization under CSI uncertainties.
Findings
Rank-one solutions are guaranteed when CSI uncertainties are small.
The condition involves a simple, verifiable expression related to system parameters.
The framework applies to various CSI uncertainty models.
Abstract
This paper concentrates on a robust transmit optimization problem for the multiuser multi-input single-output (MISO) downlink scenario and under inaccurate channel state information (CSI). This robust problem deals with a general-rank transmit covariance design, and it follows a safe rate-constrained formulation under spherically bounded CSI uncertainties. Curiously, simulation results in previous works suggested that the robust problem admits rank-one optimal transmit covariances in most cases. Such a numerical finding is appealing because transmission with rank-one covariances can be easily realized by single-stream transmit beamforming. This gives rise to a fundamentally important question, namely, whether we can theoretically identify conditions under which the robust problem admits a rank-one solution. In this paper, we identify one such condition. Simply speaking, we show that the…
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