Traffic and Obstacle-Aware UAV Positioning in Urban Environments Using Reinforcement Learning

Traffic and Obstacle-Aware UAV Positioning in Urban Environments Using Reinforcement Learning

Unmanned Aerial Vehicles (UAVs) are suited as cost-effective and adaptable platforms for carrying Wi-Fi Access Points (APs) and cellular Base Stations (BSs). Implementing aerial networks in disaster management scenarios and crowded areas can effectively enhance Quality of Service (QoS). Maintaining...

Full description

Bibliographic Details
Main Authors: Kamran Shafafi, Manuel Ricardo, Rui Campos
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Unmanned aerial vehicles
UAV positioning
aerial networks
LoS communications technology
reinforcement learning
high-capacity communications
Online Access:https://ieeexplore.ieee.org/document/10792915/

Internet

https://ieeexplore.ieee.org/document/10792915/

Similar Items