AI4Mobile: Use Cases and Challenges of AI-based QoS Prediction for High-Mobility Scenarios

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Author:Daniel F. Külzer, Martin Kasparick, Alexandros Palaios, Raja R. SattirajuORCiD, Oscar D. Ramos-Cantor, Dennis Wieruch, Hugues Tchouankem, Fabian Göttsch, Philipp Geuer, Jens Schwardmann, Gerhard Fettweis, Hans Dieter SchottenORCiD, Slawomir Stanczak
URL:https://ieeexplore.ieee.org/document/9449059
DOI:https://doi.org/10.1109/VTC2021-Spring51267.2021.9449059
ISBN:978-1-7281-8964-2
ISBN:978-1-7281-8965-9
ISSN:2577-2465
Parent Title (English):2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)
Publisher:IEEE
Place of publication:Piscataway, NJ
Document Type:Conference Proceeding
Language:English
Publication year:2021
Year of first Publication:2021
Release Date:2024/10/22
Page Number:7
Faculties / Organisational entities:RPTU in Kaiserslautern / Fachbereich Elektrotechnik und Informationstechnik / Funkkommunikation und Navigation
Open access state:Closed Access
RPTU:Kaiserslautern
Created at the RPTU:Yes