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 wonderstruck enchanted distributions are significantly disproportionate, the efficient management of the energy consumption of