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Abstract
A prediction of link parameters based on positional
information contributes to a safe operation of Unmanned Aerial
Vehicles (UAVs). For logistical and economical reasons, it makes
sense to establish the wireless link via the fourth generation
mobile standard Long Term Evolution (LTE) as it offers an
already existing and stable infrastructure. The usual non line
of sight (NLOS) connection in such a scenario poses challenges
in parameter modeling, for which artificial neural networks are
shown to be a suitable solution in this paper. The connection
quality between transmitter station and UAV is mainly described
by the parameters Reference Signal Received Power (RSRP) and
Reference Signal Received Quality (RSRQ), which are tried to be
predicted via an Artificial Neural Network (ANN) in this work.
This approach takes the UAVs position (either Cartesian or polar
coordinates) as input and maps them to the respective parameter.
information contributes to a safe operation of Unmanned Aerial
Vehicles (UAVs). For logistical and economical reasons, it makes
sense to establish the wireless link via the fourth generation
mobile standard Long Term Evolution (LTE) as it offers an
already existing and stable infrastructure. The usual non line
of sight (NLOS) connection in such a scenario poses challenges
in parameter modeling, for which artificial neural networks are
shown to be a suitable solution in this paper. The connection
quality between transmitter station and UAV is mainly described
by the parameters Reference Signal Received Power (RSRP) and
Reference Signal Received Quality (RSRQ), which are tried to be
predicted via an Artificial Neural Network (ANN) in this work.
This approach takes the UAVs position (either Cartesian or polar
coordinates) as input and maps them to the respective parameter.
Original language | English |
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Title of host publication | 2021 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) |
Publisher | IEEE Xplore |
Pages | 1-5 |
ISBN (Electronic) | 1847-358X |
DOIs | |
Publication status | Published - 2021 |
Event | 2021 International Conference on Software, Telecommunications and Computer Networks: SoftCOM 2021 - Hvar, Croatia Duration: 23 Sept 2021 → 25 Sept 2021 |
Conference
Conference | 2021 International Conference on Software, Telecommunications and Computer Networks |
---|---|
Abbreviated title | SoftCOM 2021 |
Country/Territory | Croatia |
City | Hvar |
Period | 23/09/21 → 25/09/21 |
Fields of Expertise
- Information, Communication & Computing
Fingerprint
Dive into the research topics of 'Using Feedforward Neural Networks for Parameter Modeling of a 4G Link for Unmanned Aerial Vehicles'. Together they form a unique fingerprint.Projects
- 1 Finished
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COST Action CA15127: Resilient communication services protecting end-user applications from disaster-based failures (RECODIS)
Plank, T., Leitgeb, E., Pezzei, P., Loeschnigg, M., Ivanov, H. D., Bekhrad, P., Kraus, D., Freiberger, G. & Hinteregger, M.
10/12/15 → 9/05/22
Project: Research project
Prizes
-
Bundeskammer der ZiviltechnikerInnen / Forschungspreis 2021 für eine Masterarbeit
Benincasa, Giancarlo (Recipient) & Leitgeb, Erich (Recipient), Apr 2022
Prize: Prizes / Medals / Awards
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