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Sequential Learning and Decision-Making in Wireless Resource Management

by Rong Zheng

Part of the Wireless Networks Series

Sequential Learning and Decision-Making in Wireless Resource Management Synopsis

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.

Book Information

ISBN: 9783319505015
Publication date: 12th January 2017
Author: Rong Zheng
Publisher: Springer International Publishing AG
Format: Hardback
Pagination: 118 pages
Categories: WAP networking & applications, Network hardware, Communications engineering / telecommunications,

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