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We propose a new one-bit feedback scheme with scheduling decision based onthe maximum expected weighted rate. We show the concavity of the $2$-user caseand provide the optimal solution which achieves the maximum weighted rate ofthe users. For the general asymmetric M-user case, we provide a heuristicmethod to achieve the maximum expected weighted rate. We show that the sum rateof our proposed scheme is very close to the sum rate of the full channel stateinformation case, which is the upper bound performance.

Thresholds Optimization for One-Bit Feedback Multi-User Scheduling