
Sequential Learning and Decision-Making in Wireless Resource Management
Springer (Publisher)
Published on 7. July 2018
Book
Paperback/Softback
XIII, 118 pages
978-3-319-84413-8 (ISBN)
Description
This book lays out the theoretical foundation of the so-called multi-armed bandit (MAB) problems and puts it in the context of resource management in wireless networks. Part I of the book presents the formulations, algorithms and performance of three forms of MAB problems, namely, stochastic, Markov and adversarial. Covering all three forms of MAB problems makes this book unique in the field. Part II of the book provides detailed discussions of representative applications of the sequential learning framework in cognitive radio networks, wireless LANs and wireless mesh networks.
Both individuals in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible.
Both individuals in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
22 s/w Abbildungen
XIII, 118 p. 22 illus.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
215 gr
ISBN-13
978-3-319-84413-8 (9783319844138)
DOI
10.1007/978-3-319-50502-2
Schweitzer Classification
Other editions
Additional editions

Rong Zheng | Cunqing Hua
Sequential Learning and Decision-Making in Wireless Resource Management
Book
01/2017
Springer
€106.99
Shipment within 10-15 days
Content
Introduction.- Stochastic Multi-armed Bandit.- Markov Multi-armed Bandit.- Adversarial Multi-armed Bandit.- Spectrum Sensing and Access in Cognitive Radio Networks.- Sniffer Channel Assignment in Multi-channel Wireless Networks.- Online Routing in Multi-hop Wireless Networks.- Channel Selection and User Association in WiFi Networks.