Series: Wireless Networks. Num Pages: 118 pages, 22 black & white illustrations, biography. BIC Classification: TJK; UKN. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 369. . 2017. Hardback. . . . .

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Bibliographic Details

Title: Sequential Learning and Decision Making in Wireless Resource Management
Publisher: Springer International Publishing AG
Publication Date: 2017
Language: English
ISBN 10: 3319505017
ISBN 13: 9783319505015
Binding: Hardcover
Condition: New

About this title

Synopsis

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.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

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