Proposes NOMA cache-aided MEC with LSTM task popularity prediction and BLA-based multi-agent Q-learning for joint optimization of offloading, caching and resources, claiming outperformance over benchmarks and optimality of the action selection scheme.
User association and resource allocation in unified noma enabled heterogeneous ultra dense networks,
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Cache-Aided NOMA Mobile Edge Computing: A Reinforcement Learning Approach
Proposes NOMA cache-aided MEC with LSTM task popularity prediction and BLA-based multi-agent Q-learning for joint optimization of offloading, caching and resources, claiming outperformance over benchmarks and optimality of the action selection scheme.