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  4. Deep Learning-Based Dynamic Spectrum Access for Coexistence of Aeronautical Communication Systems
 
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Deep Learning-Based Dynamic Spectrum Access for Coexistence of Aeronautical Communication Systems

Publikationstyp
Conference Paper
Date Issued
2022-09
Sprache
English
Author(s)
Kopyto, David Jonas  
Lindner, Sebastian 
Schulz, Leonard Paul  
Stolpmann, Daniel  orcid-logo
Bauch, Gerhard  
Timm-Giel, Andreas  orcid-logo
Institut
Kommunikationsnetze E-4  
Nachrichtentechnik E-8  
TORE-URI
http://hdl.handle.net/11420/14579
Citation
96th IEEE Vehicular Technology Conference (VTC Fall 2022)
Contribution to Conference
IEEE 96th Vehicular Technology Conference (VTC 2022 Fall)  
Publisher DOI
10.1109/VTC2022-Fall57202.2022.10012932
Scopus ID
2-s2.0-85147032271
Subjects
MLE@TUHH
Funding(s)
I³-Project - Machine Learning in Aeronautical Communications  
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