Restless multi-armed bandit in opportunistic scheduling / / Kehao Wang, Lin Chen
(Visualizza in formato marc)
(Visualizza in BIBFRAME)
| Autore: |
Wang Kehao
|
| Titolo: |
Restless multi-armed bandit in opportunistic scheduling / / Kehao Wang, Lin Chen
|
| Pubblicazione: | Cham, Switzerland : , : Springer, , [2021] |
| ©2021 | |
| Edizione: | 1st ed. 2021. |
| Descrizione fisica: | 1 online resource (XII, 151 p. 12 illus. in color.) |
| Disciplina: | 621.384131 |
| Soggetto topico: | Wireless communication systems - Mathematical models |
| Persona (resp. second.): | ChenLin |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Restless Multi-Armed Bandit in Opportunistic Scheduling |
| ISBN: | 3-030-69959-5 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910484135903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |