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...

Descrición completa

Detalles Bibliográficos

Principais autores:	Younghoon Jang, Syed M. Raza, Moonseong Kim, Hyunseung Choo
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-02-01
Series:	Sensors
Assuntos:	Unmanned Aerial Vehicles (UAV) Deep Reinforcement Learning (DRL) Proximal Policy Optimization (PPO) handover decision mobility management
Acceso en liña:	https://www.mdpi.com/1424-8220/22/3/1200
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!