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

Sequential Learning and Decision-Making in Wireless Resource Management

Part of the Wireless Networks Series

Synopsis

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

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 the Author

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Book Info

Publication date

12th January 2017

Author

Rong Zheng

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Publisher

Springer International Publishing AG

Format

Hardback
118 pages

Categories

WAP networking & applications
Network hardware
Communications engineering / telecommunications

ISBN

9783319505015

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