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

A Reinforcement Learning Perspective

  • Zhiyong Du
  • Bin Jiang
  • Qihui Wu
  • Yuhua Xu
  • Kun Xu
Book

Table of contents

  1. Front Matter
    Pages i-xii
  2. Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu
    Pages 1-10
  3. MAB RL Based Online Network Selection

    1. Front Matter
      Pages 11-11
    2. Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu
      Pages 13-31
    3. Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu
      Pages 33-52
  4. MDP RL Based Online Network Selection

    1. Front Matter
      Pages 53-53
    2. Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu
      Pages 55-64
    3. Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu
      Pages 65-78
  5. Game-Theoretic MARL Online Network Selection

    1. Front Matter
      Pages 79-79
    2. Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu
      Pages 101-130
    3. Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu
      Pages 131-133
  6. Back Matter
    Pages 135-136

About this book

Introduction

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 (chapter 6 and 7) focuses on how to meet heterogeneous user demand for multiple users inlarge-scale networks under the framework of game theory. Efficient RL algorithms with practical constraints and considerations are proposed to optimize QoE for realizing intelligent online network selection for future mobile networks. This book is intended as a reference resource for researchers and designers in resource management of 5G networks and beyond.

Keywords

QoE Game Reinforcement Learning Network Selection Network Handoff Intelligent Decision-Making Game Theory 5G Heterogeneous Network Heterogeneous Wireless Network

Authors and affiliations

  • Zhiyong Du
    • 1
  • Bin Jiang
    • 2
  • Qihui Wu
    • 3
  • Yuhua Xu
    • 4
  • Kun Xu
    • 5
  1. 1.National University of Defense TechnologyChangshaChina
  2. 2.National University of Defense TechnologyChangshaChina
  3. 3.Nanjing University of Aeronautics and AstronauticsNanjingChina
  4. 4.Army Engineering University of PLANanjingChina
  5. 5.National University of Defense TechnologyChangshaChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-15-1120-2
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-15-1119-6
  • Online ISBN 978-981-15-1120-2
  • Buy this book on publisher's site