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FMI: Fast Machine Learning for 5G mmWave Vehicular Communications

Asadi, Arash and Müller, Sabrina and Sim, G. H. and Klein, Anja and Hollick, Matthias (2018):
FMI: Fast Machine Learning for 5G mmWave Vehicular Communications.
Honolulu, Hawaii, In: IEEE International Conference on Computer Communications (INFOCOM), Honolulu, Hawaii, 15.-19.04.2018, [Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Asadi, Arash and Müller, Sabrina and Sim, G. H. and Klein, Anja and Hollick, Matthias
Title: FMI: Fast Machine Learning for 5G mmWave Vehicular Communications
Language: English
Place of Publication: Honolulu, Hawaii
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications
18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Communications Engineering
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
LOEWE
LOEWE > LOEWE-Schwerpunkte
LOEWE > LOEWE-Schwerpunkte > NiCER – Networked infrastructureless Cooperation for Emergency Response
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
Event Title: IEEE International Conference on Computer Communications (INFOCOM)
Event Location: Honolulu, Hawaii
Event Dates: 15.-19.04.2018
Date Deposited: 06 Mar 2019 08:42
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