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Book 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 details

Book category Books in English Computing & information technology Computer hardware Network hardware

• Full title: Sequential Learning and Decision-Making in Wireless Resource Management
• Author: Rong Zheng, Cunqing Hua
• Language: English
• Binding: Paperback
• Number of pages: 118
• EAN: 9783319844138
• ID: 20119204
• Publisher: Springer International Publishing AG
• Weight: 214 g
• Dimensions: 235 × 155 × 7 mm
• Date of publishing: 07. July 2018

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