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...

Full description

Saved in:
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
Description
Summary: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.
Physical Description:1 online resource
Bibliography:Includes bibliographical references and index.
ISBN:9789811511202
9811511209
Source of Description, Etc. Note:Print version record.

Similar Items