Proactive Handover Decision for UAVs with Deep Reinforcement Learning

The applications of Unmanned Aerial Vehicles (UAVs) are rapidly growing in domains such as surveillance, logistics, and entertainment and require continuous connectivity with cellular networks to ensure their seamless operations. However, handover policies in current cellular networks are primarily...

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Detalles Bibliográficos
Autores principales: Jang, Younghoon, Raza, Syed M., Kim, Moonseong, Choo, Hyunseung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838000/
https://www.ncbi.nlm.nih.gov/pubmed/35161945
http://dx.doi.org/10.3390/s22031200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838000/
https://www.ncbi.nlm.nih.gov/pubmed/35161945
http://dx.doi.org/10.3390/s22031200

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