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

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The effects of combined exercise intervention based on Internet and social media software for postoperative patients with breast cancer: study protocol for a randomized controlled trial

Abstract Background Many randomized controlled trials have investigated the effects of exercise on the rehabilitation of patients with breast cancer.However, the exercise forms used in most previous studies were monotonous.Therefore, we designed a protocol to estimate the effects of combined exercise intervention using Internet and social media sof

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A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks

Modular organization is an emergent property of brain networks, responsible for shaping communication processes and underpinning brain functioning.Moreover, brain networks are intrinsically multilayer since their attributes can vary across time, subjects, frequency, or other domains.Identifying the modular structure in multilayer brain networks rep

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