147 citations · 162 across the 10 of their papers we have counts for
10 papers
Distributed Deep Reinforcement Learning for Intelligent Traffic Monitoring with a Team of Aerial Robots
Behzad Khamidehi, Elvino S. Sousa
This paper studies the traffic monitoring problem in a road network using a team of aerial robots. The problem is challenging due to two main reasons. First, the traffic events are…
Dynamic Resource Management for Providing QoS in Drone Delivery Systems
Behzad Khamidehi, Majid Raeis, Elvino S. Sousa
Drones have been considered as an alternative means of package delivery to reduce the delivery cost and time. Due to the battery limitations, the drones are best suited for last-mi…
Federated Learning for Cellular-connected UAVs: Radio Mapping and Path Planning
Behzad Khamidehi, Elvino S. Sousa
To prolong the lifetime of the unmanned aerial vehicles (UAVs), the UAVs need to fulfill their missions in the shortest possible time. In addition to this requirement, in many appl…
5G is Real: Evaluating the Compliance of the 3GPP 5G New Radio System with the ITU IMT-2020 Requirements
Samer Henry, Ahmed Alsohaily, Elvino Sousa
The 3rd Generation Partnership Project (3GPP) submitted the 5G New Radio (NR) system specifications to International Telecommunication Union (ITU) as a candidate fifth generation (…
A Double Q-Learning Approach for Navigation of Aerial Vehicles with Connectivity Constraint
Behzad Khamidehi, Elvino S. Sousa
This paper studies the trajectory optimization problem for an aerial vehicle with the mission of flying between a pair of given initial and final locations. The objective is to min…
Reinforcement Learning-Based Trajectory Design for the Aerial Base Stations
Behzad Khamidehi, Elvino S. Sousa
In this paper, the trajectory optimization problem for a multi-aerial base station (ABS) communication network is investigated. The objective is to find the trajectory of the ABSs…