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Machine Learning Me...
Machine Learning Methods for Slice Admission in 5G Networks
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- Raza, Muhammad Rehan (författare)
- KTH,Optical Network Laboratory (ON Lab),Kungliga Tekniska Högskolan (KTH),Royal Institute of Technology (KTH)
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- Natalino Da Silva, Carlos, 1987 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Wosinska, Lena, 1951 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Monti, Paolo, 1973 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2019
- 2019
- Engelska.
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Ingår i: OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019. - : Institute of Electrical and Electronics Engineers (IEEE).
- Relaterad länk:
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https://research.cha... (primary) (free)
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https://urn.kb.se/re...
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https://doi.org/10.2...
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https://research.cha...
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https://research.cha...
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Abstract
Ämnesord
Stäng
- The paper discusses how the slice admission problem can be aided by machine learning strategies. Results show that both supervised and reinforcement learning might lead to profit maximization while containing losses due to performance degradation.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
Nyckelord
- control and management
- Data analytics for network control and management in optical core/data center networks
- design
- Optical core/metro/data-center network architecture
- slice
- virtualization
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)