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Towards User-Centric Intelligent Network Selection in 5G Hete... - 9789811511226
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Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Towards User-Centric Intelligent Network Selection in 5G Heter...
- ISBN
- 9789811511226
- Publication Year
- 2020
- Type
- Textbook
- Format
- Paperback
- Language
- English
- Publication Name
- Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks: A Reinforcement Learning Perspective
- Item Height
- 235 mm
- Publisher
- Springer Verlag, Singapore
- Item Width
- 155 mm
- Subject
- Engineering & Technology, Computer Science, Mathematics
- Item Weight
- 238 g
- Number of Pages
- 136 Pages
About this product
Product Information
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.
Product Identifiers
Publisher
Springer Verlag, Singapore
ISBN-13
9789811511226
eBay Product ID (ePID)
23046522558
Product Key Features
Publication Name
Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks: A Reinforcement Learning Perspective
Format
Paperback
Language
English
Subject
Engineering & Technology, Computer Science, Mathematics
Publication Year
2020
Type
Textbook
Number of Pages
136 Pages
Dimensions
Item Height
235 mm
Item Width
155 mm
Item Weight
238 g
Additional Product Features
Country/Region of Manufacture
Singapore
Item description from the seller
Business seller information
Value Added Tax Number:
- GB 976952259
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