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...

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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/
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