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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 2/2022

03.08.2021 | Research Article-Computer Engineering and Computer Science

UAV Communications with Machine Learning: Challenges, Applications and Open Issues

verfasst von: Sana Ben Aissa, Asma Ben Letaifa

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 2/2022

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Abstract

Unmanned aerial vehicles (UAV) have recently proved their ability to afford reliable and cost-effective solutions for many real-world scenarios. The autonomy, mobility and flexibility nature along with communications interoperability have made UAV able to provide a large variety of services. Awareness of context changes and adaptability to current services requirements are the key to UAVs’ deployment success. For this reason, machine learning (ML) has been widely used in overcoming the challenges that UAV faces in mobility, communication and resources management. This paper will mainly focus on the proposed UAV-centric ML solutions and their satisfaction with network requirements taking into consideration UAVs’ roles, collaboration, cooperation and network changing contexts. Solutions proposed in air to air, air to ground and ground to air communications as well as UAVs-enabled mobile edge computing are investigated for possible future insights. Future works will indeed highlight the need of UAVs’ cooperation in the emergent 5G/6G networks.
Vorheriger Artikel Distance Estimation from a Monocular Camera Using Face and Body Features
Nächster Artikel Adaptive Cuckoo Optimized WSNs Routing Algorithm Based on Forward Transmission Dynamic Programming

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Metadaten
Titel
UAV Communications with Machine Learning: Challenges, Applications and Open Issues
verfasst von
Sana Ben Aissa
Asma Ben Letaifa
Publikationsdatum
03.08.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 2/2022
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-021-05932-w

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