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001436786 001__ 1436786
001436786 003__ OCoLC
001436786 005__ 20230309004113.0
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001436786 008__ 210525s2021\\\\sz\a\\\\ob\\\\001\0\eng\d
001436786 019__ $$a1255222930$$a1255224041$$a1261770201$$a1262379346$$a1262670329$$a1264927970
001436786 020__ $$a9783030699598$$q(electronic bk.)
001436786 020__ $$a3030699595$$q(electronic bk.)
001436786 020__ $$a9783030699604$$q(print)
001436786 020__ $$a3030699609
001436786 020__ $$a9783030699611$$q(print)
001436786 020__ $$a3030699617
001436786 020__ $$z3030699587
001436786 020__ $$z9783030699581
001436786 0247_ $$a10.1007/978-3-030-69959-8$$2doi
001436786 035__ $$aSP(OCoLC)1252704232
001436786 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dYDX$$dGW5XE$$dOCLCO$$dEBLCP$$dOCLCF$$dVT2$$dUKAHL$$dOCLCQ$$dCOM$$dOCLCO$$dOCLCQ
001436786 049__ $$aISEA
001436786 050_4 $$aTK5103.2$$b.W36 2021
001436786 08204 $$a621.3845$$223
001436786 1001_ $$aWang, Kehao,$$eauthor.
001436786 24510 $$aRestless multi-armed bandit in opportunistic scheduling /$$cKehao Wang, Lin Chen.
001436786 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021]
001436786 300__ $$a1 online resource :$$bcolor illustrations
001436786 336__ $$atext$$btxt$$2rdacontent
001436786 337__ $$acomputer$$bc$$2rdamedia
001436786 338__ $$aonline resource$$bcr$$2rdacarrier
001436786 347__ $$atext file
001436786 347__ $$bPDF
001436786 504__ $$aIncludes bibliographical references and index.
001436786 5050_ $$aIntroduction -- 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.
001436786 506__ $$aAccess limited to authorized users.
001436786 520__ $$aThis 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.
001436786 588__ $$aOnline resource; title from digital title page (viewed on June 14, 2021).
001436786 650_0 $$aWireless communication systems$$xMathematical models.
001436786 650_0 $$aComputer scheduling.
001436786 650_6 $$aTransmission sans fil$$xModèles mathématiques.
001436786 650_6 $$aOrdonnancement (Informatique)
001436786 655_0 $$aElectronic books.
001436786 7001_ $$aChen, Lin,$$eauthor.
001436786 77608 $$iPrint version:$$aWang, Kehao.$$tRestless multi-armed bandit in opportunistic scheduling.$$dCham, Switzerland : Springer, [2021]$$z3030699587$$z9783030699581$$w(OCoLC)1232272235
001436786 852__ $$bebk
001436786 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69959-8$$zOnline Access$$91397441.1
001436786 909CO $$ooai:library.usi.edu:1436786$$pGLOBAL_SET
001436786 980__ $$aBIB
001436786 980__ $$aEBOOK
001436786 982__ $$aEbook
001436786 983__ $$aOnline
001436786 994__ $$a92$$bISE