Sequential Learning and Decision-Making in Wireless Resource Management

Nonfiction, Computers, Networking & Communications, Hardware, Science & Nature, Technology, Telecommunications, General Computing
Cover of the book Sequential Learning and Decision-Making in Wireless Resource Management by Rong Zheng, Cunqing Hua, Springer International Publishing
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Author: Rong Zheng, Cunqing Hua ISBN: 9783319505022
Publisher: Springer International Publishing Publication: January 5, 2017
Imprint: Springer Language: English
Author: Rong Zheng, Cunqing Hua
ISBN: 9783319505022
Publisher: Springer International Publishing
Publication: January 5, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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