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• W2610765247 abstract "This paper considers the design of beamforming matrices for multi-cell interference alignment (IA). Different from the existing centralized algorithms for coordinated IA, the focus here is on low-complexity distributed algorithms that are easy to implement on large networks. Towards this end, the rank-minimization form of the coordinated IA problem is formulated as a general-form consensus problem, that is solvable via a distributed alternating directions method of multipliers algorithm. The non-convexity of the original problem is overcome by utilizing a proximal update step. The proposed algorithm is flexible enough to allow delays and losses in the update process, while still being provably convergent to a stationary point. Simulations are carried out on a six-cell system, demonstrating the effectiveness of the proposed algorithm." @default.
• W2610765247 created "2017-05-12" @default.
• W2610765247 creator A5007246073 @default.
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• W2610765247 date "2016-12-01" @default.
• W2610765247 modified "2023-09-25" @default.
• W2610765247 title "Distributed interference alignment for MIMO cellular network via consensus ADMM" @default.
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• W2610765247 doi "https://doi.org/10.1109/globalsip.2016.7905884" @default.
• W2610765247 hasPublicationYear "2016" @default.
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