Sequential Learning and Decision-Making in Wireless Resource Management (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Wireless Networks
Release date:	2017
First published:	2016
Authors:	Rong Zheng • Cunqing Hua
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Hardcover
Pages:	118
Edition:	1st ed. 2016
ISBN-13:	978-3-319-50501-5
Categories:	Books > Computing & IT > Computer communications & networking > Networking standards & protocols Books > Computing & IT > Internet > Network computers Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Promotions
LSN:	3-319-50501-7
Barcode:	9783319505015

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