Global optima for sum-rate in two-user SIC interference channels are characterized and a decentralized algorithm for symmetric channels is shown to outperform orthogonal access and greedy baselines without global CSI.
State-augmented learnable algorithms for resource management in wireless networks,
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On Decentralized Sum-Rate Maximization with Successive Interference Cancellation
Global optima for sum-rate in two-user SIC interference channels are characterized and a decentralized algorithm for symmetric channels is shown to outperform orthogonal access and greedy baselines without global CSI.