Sequential learning and decision-making in wireless resource management /

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Bibliographic Details
Author / Creator:Zheng, Rong, author.
Imprint:Cham, Switzerland : Springer, [2016]
©2016
Description:1 online resource (118 pages) : illustrations
Language:English
Series:Wireless networks
Wireless networks (Springer (Firm))
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11270748
Hidden Bibliographic Details
Other authors / contributors:Hua, Cunqing, author.
ISBN:9783319505022
3319505025
9783319505015
3319505017
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Print version record.
Summary:"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"--Provided by publisher.
Other form:Print version: Zheng, Rong. Sequential learning and decision-making in wireless resource management. Cham, Switzerland : Springer, [2016] 3319505017
Standard no.:10.1007/978-3-319-50502-2
10.1007/978-3-319-50