Proactive Handover Decision for UAVs with Deep Reinforcement Learning

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...

Full description

Bibliographic Details
Main Authors: Younghoon Jang, Syed M. Raza, Moonseong Kim, Hyunseung Choo
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
Unmanned Aerial Vehicles (UAV)
Deep Reinforcement Learning (DRL)
Proximal Policy Optimization (PPO)
handover decision
mobility management
Online Access:https://www.mdpi.com/1424-8220/22/3/1200

Internet

https://www.mdpi.com/1424-8220/22/3/1200

Similar Items