Towards user-centric intelligent network selection in 5G heterogeneous wireless networks : a reinforcement learning perspective

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.

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...

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Bibliographic Details
Other Authors: Du, Zhiyong
Format: eBook
Language:English
Published: Singapore : Springer, 2020.
Subjects:
5G mobile communication systems.
Wireless communication systems.
Reinforcement learning.
5G mobile communication systems
Reinforcement learning
Wireless communication systems
Online Access:Click for online access
Table of Contents:
  • Introduction
  • Learning the Optimal Network with Handoff Constraint: MAB RL Based Network Selection
  • Learning the Optimal Network with Context Awareness: Transfer RL Based Network Selection
  • Meeting Dynamic User Demand with Transmission Cost Awareness: CT-MAB RL Based Network Selection
  • Meeting Dynamic User Demand with Handoff Cost Awareness: MDP RL Based Network Handoff
  • Matching Heterogeneous User Demands: Localized Cooperation Game and MARL based Network Selection
  • Exploiting User Demand Diversity: QoE game and MARL Based Network Selection
  • Future Work.

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