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Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks
Network densification and millimeter-wave technologies are key enablers to fulfill the capacity and data rate requirements of the fifth generation (5G) of mobile networks.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Joint Indoor Localization and Radio Map Construction with Limited Deployment Load
In this paper, we aim to design an indoor localization scheme that can be directly employed without building a full fingerprinted radio map of the indoor environment.
