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Restless multi-armed bandit in opportunistic scheduling / Kehao Wang, Lin Chen.

9783030699598 (electronic bk.)
3030699595 (electronic bk.)
9783030699604 (print)
3030699609
9783030699611 (print)
3030699617
3030699587
9783030699581

Cham, Switzerland : Springer, [2021]

English

1 online resource : color illustrations

10.1007/978-3-030-69959-8 doi

TK5103.2 .W36 2021

621.3845

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.

Includes bibliographical references and index.

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Online resource; title from digital title page (viewed on June 14, 2021).

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