1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
Power Efficient Trajectory Optimization for the Cellular-Connected Aerial Vehicles
Behzad Khamidehi, Elvino S. Sousa
Aerial vehicles have recently attracted significant attention in a variety of commercial and civilian applications due to their high mobility, flexible deployment and cost-effectiv…