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Sequential Learning and Decision-Making in Wireless Resource Management : Wireless Networks - Rong Zheng

Sequential Learning and Decision-Making in Wireless Resource Management

By: Rong Zheng, Cunqing Hua

Hardcover | 12 January 2017

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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.

You Can Find This Book In

Non-FictionComputing & I.T.Computer HardwareNetwork HardwareEngineering & TechnologyElectronics & Communications EngineeringCommunications Engineering & TelecommunicationsComputer Networking & CommunicationsWAP Networking & Applications

Other Editions and Formats

Paperback

Published: 7th July 2018

Available for Backorder. We will order this from our supplier however there isn't a current ETA.

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