The authors report that a zebra optimization algorithm for user pairing and power allocation improves simulated energy efficiency of a CR-NOMA smart grid network by up to roughly 50% over the compared baselines.
Resid ential energy consumption scheduling: A coupled-constraint game approach,
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Energy Efficiency Maximization for CR-NOMA based Smart Grid Communication Network
The authors report that a zebra optimization algorithm for user pairing and power allocation improves simulated energy efficiency of a CR-NOMA smart grid network by up to roughly 50% over the compared baselines.