The connected world paradigm effectuated through the proliferation of mobile devices, Internet of Things (IoT), and the metaverse will offer novel services in the coming years that need anytime, anywhere, high-speed access. The success of this paradigm will highly depend on the ability of the device
Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks: A Reinforcement Learning Perspective
โ Scribed by Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu
- Publisher
- Springer Singapore
- Year
- 2020
- Tongue
- English
- Leaves
- 142
- Edition
- 1st ed. 2020
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Front Matter ....Pages i-xii
Introduction (Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu)....Pages 1-10
Front Matter ....Pages 11-11
Learning the Optimal Network with Handoff Constraint: MAB RL Based Network Selection (Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu)....Pages 13-31
Meeting Dynamic User Demand with Transmission Cost Awareness: CT-MAB RL Based Network Selection (Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu)....Pages 33-52
Front Matter ....Pages 53-53
Meeting Dynamic User Demand with Handoff Cost Awareness: MDP RL Based Network Handoff (Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu)....Pages 55-64
Learning the Optimal Network with Context Awareness: Transfer RL Based Network Selection (Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu)....Pages 65-78
Front Matter ....Pages 79-79
Matching Heterogeneous User Demands: Localized Self-organization Game and MARL Based Network Selection (Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu)....Pages 81-99
Exploiting User Demand Diversity: QoE Game and MARL Based Network Selection (Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu)....Pages 101-130
Future Work (Zhiyong Du, Bin Jiang, Qihui Wu, Yuhua Xu, Kun Xu)....Pages 131-133
Back Matter ....Pages 135-136
โฆ Subjects
Engineering; Wireless and Mobile Communication; Computer Communication Networks; Communications Engineering, Networks; Information and Communication, Circuits
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