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Towards User-Centric Intelligent Network Selection in 5g Heterogeneous Wireless Networks: A Reinforcement Learning Perspective (2020 edition)

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Towards User-Centric Intelligent Network Selection in 5g Heterogeneous Wireless Networks: A Reinforcement Learning Perspective - Du, Zhiyong, and Jiang, Bin, and Wu, Qihui
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This book presents reinforcement learning (RL) based solutions for user-centric online network selection optimization. The main content can be divided into three parts. The first part (chapter 2 and 3) focuses on how to learning the best network when QoE is revealed beyond QoS under the framework of multi-armed bandit (MAB). 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). The third part ...

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Towards User-Centric Intelligent Network Selection in 5g Heterogeneous Wireless Networks: A Reinforcement Learning Perspective 2020, Springer, Singapore

ISBN-13: 9789811511226

2020 edition

Trade paperback

Towards User-Centric Intelligent Network Selection in 5g Heterogeneous Wireless Networks: A Reinforcement Learning Perspective 2019, Springer, Singapore

ISBN-13: 9789811511196

2020 edition

Hardcover