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Sequential Learning and Decision Making in Wireless Resource Management
Rong Zheng
€ 127.28
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Description for Sequential Learning and Decision Making in Wireless Resource Management
Hardback. Series: Wireless Networks. Num Pages: 118 pages, 22 black & white illustrations, biography. BIC Classification: TJK; UKN. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 369.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2017
Publisher
Springer International Publishing AG Switzerland
Number of pages
118
Condition
New
Series
Wireless Networks
Number of Pages
118
Place of Publication
Cham, Switzerland
ISBN
9783319505015
SKU
V9783319505015
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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