Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks

A Reinforcement Learning Perspective
This book presents reinforcement learning (RL) based solutions for user-centric online network selection optimization. The second part (chapter 4 and 5) focuses on how to meet dynamic user demand in complex and uncertain heterogeneous wireless networks under the framework of markov decision process (MDP).

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