Sequential Learning and Decision-Making in Wireless Resource Management

Rong Zheng, Cunqing Hua

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Hardback

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English

Springer International Publishing AG
12 January 2017

Communications engineering & telecommunications; Network hardware; WAP networking & applications

Series: Wireless Networks

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.

By: Rong Zheng, Cunqing Hua
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 1st ed. 2016
Dimensions: Height: 235mm, Width: 155mm, Spine: 10mm
Weight: 3.259kg
ISBN: 9783319505015
ISBN 10: 3319505017
Series: Wireless Networks
Pages: 118
Publication Date: 12 January 2017
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Introduction.- Stochastic Multi-armed Bandit.- Markov Multi-armed Bandit.- Adversarial Multi-armed Bandit.- Spectrum Sensing and Access in Cognitive Radio Networks.- Sniffer Channel Assignment in Multi-channel Wireless Networks.- Online Routing in Multi-hop Wireless Networks.- Channel Selection and User Association in WiFi Networks.