A comparison of AI-based throughput prediction for cellular vehicle-to-server communication

Download full text files

  • 71698.pdfeng
    (2025KB)

    Postprint. © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Josef Schmid, Mathias Schneider, Alfred Hos, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-716981
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/71698
ISBN:978-1-5386-7747-6OPAC
Parent Title (English):15th International Wireless Communications & Mobile Computing Conference (IWCMC), 24-28 June 2019, Tangier, Morocco
Publisher:IEEE
Place of publication:Piscataway, NJ
Type:Part of a Book
Language:English
Year of first Publication:2019
Publishing Institution:Universität Augsburg
Release Date:2020/03/03
First Page:471
Last Page:476
DOI:https://doi.org/10.1109/IWCMC.2019.8766567
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht