| Sequential Learning and Decision-Making in Wireless Resource Management 2016 Edition Contributor(s): Zheng, Rong (Author), Hua, Cunqing (Author) |
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ISBN: 3319505017 ISBN-13: 9783319505015 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: January 2017 |
| Additional Information |
| BISAC Categories: - Computers | Networking - Hardware - Technology & Engineering | Telecommunications |
| Dewey: 004.6 |
| Series: Wireless Networks |
| Physical Information: 0.44" H x 6.14" W x 9.21" (0.85 lbs) 118 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |