Deep Neural Quality of Service Prediction for Unmanned Aircraft System Communications
Author:
Affiliation:
1. University of Applied Sciences Amberg-Weiden,Department of Electrical Engineering, Media Technology and Computer Sciences,Amberg,Germany,92224
2. Technical University of Munich,CHI, MRI,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10592105/10592309/10592318.pdf?arnumber=10592318
Reference24 articles.
1. Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
2. Unmanned Aircraft Systems Traffic Management: A comparsion on the FAA UTM and the European CORUS ConOps based on U-space
3. System Requirements Specification for Unmanned Aerial Vehicle (UAV) to Server Communication
4. Experimental Evaluation of Cellular Networks for UAV Operation and Services
5. LTE I/Q Data Set for UAV Propagation Modeling, Communication, and Navigation Research
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