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20172021
most citedRobust Adaptive Beamforming Maximizing the Worst-Case SINR over Distributional Uncertainty Sets for Random INC Matrix and Signal Steering Vector

1 citations · 1 across the 5 of their papers we have counts for

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9 papers

eess.SP20211 cited

Robust Adaptive Beamforming Maximizing the Worst-Case SINR over Distributional Uncertainty Sets for Random INC Matrix and Signal Steering Vector

Yongwei Huang, Wenzheng Yang, Sergiy A. Vorobyov

The robust adaptive beamforming (RAB) problem is considered via the worst-case signal-to-interference-plus-noise ratio (SINR) maximization over distributional uncertainty sets for…

eess.SP2021

Enhanced Robust Adaptive Beamforming Designs for General-Rank Signal Model via an Induced Norm of Matrix Errors

Yongwei Huang, Sergiy A. Vorobyov

The robust adaptive beamforming (RAB) problem for general-rank signal model with an uncertainty set defined through a matrix induced norm is considered. The worst-case signal-to-in…

eess.SP2020

Robust Downlink Transmit Optimization under Quantized Channel Feedback via the Strong Duality for QCQP

Xianming Li, Yongwei Huang, Wing-Kin Ma

Consider a robust multiple-input single-output downlink beamforming optimization problem in a frequency division duplexing system. The base station (BS) sends training signals to t…

eess.SP2018

MISO NOMA Downlink Beamforming Optimization with Per-Antenna Power Constraints

Yongwei Huang, Longtao Zhou

Consider a multiuser downlink beamforming optimization problem for the non-orthogonal multiple access (NOMA) transmission in a multiple-input single-output (MISO) system. The total…

eess.SP2018

New Designs on MVDR Robust Adaptive Beamforming Based on Optimal Steering Vector Estimation

Yongwei Huang, Mingkang Zhou, Sergiy A. Vorobyov

The robust adaptive beamforming design problem based on estimation of the signal of interest steering vector is considered in the paper. In this case, the optimal beamformer is obt…

eess.SP2018

An Inner SOCP Approximate Algorithm for Robust Adaptive Beamforming for General-Rank Signal Model

Yongwei Huang, Sergiy A. Vorobyov

The worst-case robust adaptive beamforming problem for general-rank signal model is considered. Its formulation is to maximize the worst-case signal-to-interference-plus-noise rati…