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1
Machine Learning Methods for Slice Admission in 5G Networks:
, In:
2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC)
,
Raza, Muhammad Rehan
;
Natalino, Carlos
;
Wosinska, Lena
. - p. 1-3 , 2019
Link:
https://doi.org/10.23919/PS.2019.8817990
RT T1 <cTitle>2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC)</cTitle>: T1 <Title>Machine Learning Methods for Slice Admission in 5G Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8817990&Exemplar=1&LAN=DE A1 Raza, Muhammad Rehan A1 Natalino, Carlos A1 Wosinska, Lena A1 Monti, Paolo YR 2019 K1 Degradation K1 Indium phosphide K1 III-V semiconductor materials K1 Optical fiber networks K1 5G mobile communication K1 Data centers K1 Band-pass filters K1 Data analytics for network control and management in optical core/data center networks K1 Optical core/metro/data-center network architecture K1 design K1 virtualization K1 slice K1 control and management SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.23919/PS.2019.8817990 DO https://doi.org/10.23919/PS.2019.8817990 SF ELIB - SuUB Bremen
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