Sequential Learning and Decision-Making in Wireless Resource Management

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106,99 

Wireless Networks

ISBN: 3319505017
ISBN 13: 9783319505015
Autor: Zheng, Rong/Hua, Cunqing
Verlag: Springer Verlag GmbH
Umfang: xiii, 118 S., 22 s/w Illustr., 118 p. 22 illus.
Erscheinungsdatum: 12.01.2017
Auflage: 1/2017
Format: 1.4 x 24.2 x 16.1
Gewicht: 353 g
Produktform: Gebunden/Hardback
Einband: Gebunden

Emphasizes intuition rather than laborious proofsProvides a recipe for applying theoretical tools to real-world problemsTreats both theoretical and practical aspects of the sequential learning and decision making frameworkCovers many representative applications in wireless networksIncludes supplementary material: sn.pub/extras

Artikelnummer: 344643 Kategorie:

Beschreibung

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.

Herstellerkennzeichnung:


Springer Verlag GmbH
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69121 Heidelberg
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E-Mail: juergen.hartmann@springer.com

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