Sequential Learning and Decision-Making in Wireless Resource Management

Autor: Rong Zheng, Cunqing Hua

Jazyk:

Väzba: Pevná

Vydavateľ: Springer International Publishing AG

Dostupnosť: Skladom u dodávateľa v malom množstve

Odosielame za 11-15 dní

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This book lays out the theoretical foundation of the so-called multi-armed bandit (MAB) problems and...

Informácie o knihe

Autor

Rong Zheng, Cunqing Hua

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2017

Stránok

118

EAN

9783319505015

ISBN

3319505017

Enbook ID

15362997

Vydavateľ

Springer International Publishing AG

Hmotnosť

3259

Rozmery

155 x 235 x 12

Kompletný popis

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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Sequential Learning and Decision-Making in Wireless Resource Management

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