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• W2938184502 abstract "In this paper, we consider the large-scale case of the robust beamforming problem with interference temperature constraints. Previous semidefinite relaxation (SDR) method becomes impracticable because of its expensive computational cost. Even successive convex approximation (SCA) method, the state-of-the-art method, cannot tackle this problem efficiently. Thus, we are motivated to design two efficient first-order methods, multi-block alternating direction method of multipliers (ADMM) and linear programming-assisted subgradient descent (LPA-SD), to solve it. Numerical results demonstrate the potential of our proposed methods in terms of both computational efficiency and solution quality." @default.
• W2938184502 created "2019-04-25" @default.
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• W2938184502 date "2019-05-01" @default.
• W2938184502 modified "2023-10-02" @default.
• W2938184502 title "Fast First-order Methods for the Massive Robust Multicast Beamforming Problem with Interference Temperature Constraints" @default.
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• W2938184502 doi "https://doi.org/10.1109/icassp.2019.8683524" @default.
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