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Proactive Handover Decision for UAVs with Deep Reinforcement Learning
2022
Sensors
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 designed for ground users, and thus are not appropriate for UAVs due to frequent fluctuations of signal strength in the air. This paper presents a novel handover decision scheme deploying Deep
doi:10.3390/s22031200
pmid:35161945
pmcid:PMC8838000
fatcat:egj3e4lk35h4dlp3mdb4ij7pf4