activity
20232025
most citedTraffic and Obstacle-aware UAV Positioning in Urban Environments Using Reinforcement Learning

9 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2025

Joint Optimization of Multi-UAV Deployment and 3D Positioning in Traffic-Aware Aerial Networks

Kamran Shafafi, Alaa Awad Abdellatif, Manuel Ricardo +1

Unmanned Aerial Vehicles (UAVs) have emerged as a key enabler for next-generation wireless networks due to their on-demand deployment, high mobility, and ability to provide Line-of…

cs.NI2025★ 1 cited

A Framework to Develop and Validate RL-Based Obstacle-Aware UAV Positioning Algorithms

Kamran Shafafi, Manuel Ricardo, Rui Campos

Unmanned Aerial Vehicles (UAVs) increasingly enhance the Quality of Service (QoS) in wireless networks due to their flexibility and cost-effectiveness. However, optimizing UAV plac…

cs.NI2024★ 9 cited

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

Kamran Shafafi, Manuel Ricardo, Rui Campos

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 ne…

cs.NI2023★ 5 cited

Joint Traffic and Obstacle-aware UAV Positioning Algorithm for Aerial Networks

Kamran Shafafi, André Coelho, Rui Campos +1

Unmanned Aerial Vehicles (UAVs) are increasingly used as cost-effective and flexible Wi-Fi Access Points (APs) and cellular Base Stations (BSs) to enhance Quality of Service (QoS).…

cs.NI2023★ 6 cited

UAV-Assisted Wireless Communications: An Experimental Analysis of A2G and G2A Channels

Kamran Shafafi, Eduardo Nuno Almeida, André Coelho +3

Unmanned Aerial Vehicles (UAVs) offer promising potential as communications node carriers, providing on-demand wireless connectivity to users. While existing literature presents va…