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- W2139921619 abstract "In this paper, we propose beamforming techniques based on virtual signal-to-interference-plus-noise ratio (VSINR) maximization for weighted sum-rate (WSR) maximization in multiple-input single-output (MISO) interference channels. In the earlier work by Zakhour and Gesbert, it was shown that all Pareto-optimal beamformers can be expressed as a solution to the VSINR problem. However, how to choose the weight coefficients in the VSINR expression is not addressed when solving the WSR maximization problem. Thus, we provide a method of computing the weight terms to achieve a certain desired WSR maximizing point. Since the beamforming vectors in the proposed scheme should be computed as a function of global channel state information (CSI), we also propose a decentralized approach which shows a performance close to the centralized scheme with a significant reduction in the CSI exchange overhead." @default.
- W2139921619 created "2016-06-24" @default.
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- W2139921619 date "2011-06-01" @default.
- W2139921619 modified "2023-09-25" @default.
- W2139921619 title "Beamforming Design Based on Virtual SINR Maximization for Interference Networks" @default.
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- W2139921619 doi "https://doi.org/10.1109/icc.2011.5962844" @default.
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