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[ subject:"Wireless communication systems- Mathematical models." ]
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Restless multi-armed bandit in oppor...
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Wang, Kehao.
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Restless multi-armed bandit in opportunistic scheduling
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Restless multi-armed bandit in opportunistic scheduling/ by Kehao Wang, Lin Chen.
作者:
Wang, Kehao.
其他作者:
Chen, Lin.
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
xii, 151 p. :ill., digital ;24 cm.
內容註:
Introduction -- RMAB in Opportunistic Scheduling -- Optimality of Myopic Policy with Imperfect Sensing -- Whittle Index Policy with Imperfect Sensing -- Heuristic Policy with Imperfect Sensing -- Optimality of Myopic Policy with Imperfect Observation -- Whittle Index Policy for Multi-State Channel Scheduling -- Conclusion.
Contained By:
Springer Nature eBook
標題:
Wireless communication systems - Mathematical models. -
電子資源:
https://doi.org/10.1007/978-3-030-69959-8
ISBN:
9783030699598
Restless multi-armed bandit in opportunistic scheduling
Wang, Kehao.
Restless multi-armed bandit in opportunistic scheduling
[electronic resource] /by Kehao Wang, Lin Chen. - Cham :Springer International Publishing :2021. - xii, 151 p. :ill., digital ;24 cm.
Introduction -- RMAB in Opportunistic Scheduling -- Optimality of Myopic Policy with Imperfect Sensing -- Whittle Index Policy with Imperfect Sensing -- Heuristic Policy with Imperfect Sensing -- Optimality of Myopic Policy with Imperfect Observation -- Whittle Index Policy for Multi-State Channel Scheduling -- Conclusion.
This book provides foundations for the understanding and design of computation-efficient algorithms and protocols for those interactions with environment, i.e., wireless communication systems. The book provides a systematic treatment of the theoretical foundation and algorithmic tools necessarily in the design of computation-efficient algorithms and protocols in stochastic scheduling. The problems addressed in the book are of both fundamental and practical importance. Target readers of the book are researchers and advanced-level engineering students interested in acquiring in-depth knowledge on the topic and on stochastic scheduling and their applications, both from theoretical and engineering perspective. Introduces Restless Multi-Armed Bandit (RMAB) and presents its relevant tools involved in machine learning and how to adapt them for application; Elaborates on research bringing the conventional decision theory and stochastic optimal technology into wireless communication applications involving machine learning; Delivers a comprehensive treatment on problems ranging from theoretical modeling and analysis, to practical algorithm design and optimization.
ISBN: 9783030699598
Standard No.: 10.1007/978-3-030-69959-8doiSubjects--Topical Terms:
923148
Wireless communication systems
--Mathematical models.
LC Class. No.: TK5103.2 / .W36 2021
Dewey Class. No.: 621.3845
Restless multi-armed bandit in opportunistic scheduling
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