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A Meta-Learning Based Gradient Descent Algorithm for MU-MIMO Beamforming
Multi-user multiple-input multiple-output (MU-MIMO) beamforming design is typically formulated as a non-convex weighted sum rate (WSR) maximization problem that is known to be NP-hard.
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