Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks : A Reinforcement Learning Perspective | 1st edition

by Bin Jiang and Zhiyong Du

Buy used book

Mint Not in stock 932 SEK
Fair Not in stock 782 SEK
Poor Not in stock 644 SEK

Not in stock. Monitor this book.

Buy new book

New book 1282 SEK

Fakta

Publisher	Springer Nature
Language	English
Book type	Paperback
Utgiven	2020-11-18
Edition	1
Pages	136
ISBN	9789811511226
Kategori(er)

Add to cart

Description

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.

So far, we have reused

books.

Sweden's friendliest and environmental friendliest bookshop with the lowest priced textbooks.

This is our ambition, and we do what it takes to get there. We are here to help students to save and earn money on their textbooks while we at the same time save the environment. We were started in 2005 by two students and have since strived to constantly make it easier to buy and sell used textbooks for as many as possible.

Opening Hours