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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...

Täydet tiedot

Tallennettuna:
Päätekijät: Younghoon Jang, Syed M. Raza, Moonseong Kim, Hyunseung Choo
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2022-02-01
Sarja:Sensors
Aiheet:
Unmanned Aerial Vehicles (UAV)
Deep Reinforcement Learning (DRL)
Proximal Policy Optimization (PPO)
handover decision
mobility management
Linkit:https://www.mdpi.com/1424-8220/22/3/1200
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