Sequential Learning and Decision-Making in Wireless Resource Management / Wireless Networks (PDF)
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- Autoren: Rong Zheng , Cunqing Hua
- 2017, 1st ed. 2016, 118 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319505025
- ISBN-13: 9783319505022
- Erscheinungsdatum: 05.01.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 2.42 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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