OPTIMAL RESOURCE ALLOCATION CONSIDERING NON-UNIFORM SPATIAL TRAFFIC DISTRIBUTION IN ULTRA-DENSE NETWORKS: A MULTI-AGENT REINFORCEMENT LEARNING APPROACH

Optimal Resource Allocation Considering Non-Uniform Spatial Traffic Distribution in Ultra-Dense Networks: A Multi-Agent Reinforcement Learning Approach

Recently, the demand for small cell base stations (SBSs) has been exploding to accommodate the explosive increase in mobile data traffic.In ultra-dense small cell networks (UDSCNs), because the spatial and temporal traffic distributions are significantly disproportionate, the efficient management of the energy consumption of SBSs is crucial.Therefo

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