14 citations · 17 across the 18 of their papers we have counts for
10 papers · 1 filter
First Results on UAV-aided User Localization Using ToA and OpenAirInterface in 5G NR
Omid Esrafilian, Rakesh Mundlamuri, Florian Kaltenberger +2
This paper considers the challenge of localizing ground users with the help of a radio-equipped unmanned aerial vehicle (UAV) that collects measurements from users. We utilize time…
Global Scale Self-Supervised Channel Charting with Sensor Fusion
Omid Esrafilian, Mohsen Ahadi, Florian Kaltenberger +1
The sensing and positioning capabilities foreseen in 6G have great potential for technology advancements in various domains, such as future smart cities and industrial use cases. C…
UAV Trajectory Optimization and Tracking for User Localization in Wireless Networks
Omid Esrafilian, Rajeev Gangula, David Gesbert
In this paper, we investigate the problem of UAV-aided user localization in wireless networks. Unlike the existing works, we do not assume perfect knowledge of the UAV location, he…
Integrated Access and Backhaul in 5G with Aerial Distributed Unit using OpenAirInterface
Rakesh Mundlamuri, Omid Esrafilian, Rajeev Gangula +5
In this work, we propose an UAV-aided Integrated Access and Backhaul (IAB) system design offering 5G connectivity to ground users. UAV is integrated with a distributed unit (DU) ac…
UAV-Aided Multi-Community Federated Learning
Mohamad Mestoukirdi, Omid Esrafilian, David Gesbert +1
In this work, we investigate the problem of an online trajectory design for an Unmanned Aerial Vehicle (UAV) in a Federated Learning (FL) setting where several different communitie…
UAV-aided RF Mapping for Sensing and Connectivity in Wireless Networks
David Gesbert, Omid Esrafilian, Junting Chen +2
The use of unmanned aerial vehicles (UAV) as flying radio access network (RAN) nodes offers a promising complement to traditional fixed terrestrial deployments. More recently yet s…
UAV-aided Wireless Node Localization Using Hybrid Radio Channel Models
Omid Esrafilian, Rajeev Gangula, David Gesbert
This paper considers the problem of ground user localization based on received signal strength (RSS) measurements obtained by an unmanned aerial vehicle (UAV). We treat UAV-user li…
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks
Omid Esrafilian, Harald Bayerlein, David Gesbert
Deep Reinforcement Learning (DRL) is gaining attention as a potential approach to design trajectories for autonomous unmanned aerial vehicles (UAV) used as flying access points in…
3D-Map Assisted UAV Trajectory Design Under Cellular Connectivity Constraints
Omid Esrafilian, Rajeev Gangula, David Gesbert
The enabling of safe cellular controlled unmanned aerial vehicle (UAV) beyond visual line of sight is expected to open important future opportunities in the area of transportation,…
Learning to Communicate in UAV-aided Wireless Networks: Map-based Approaches
Omid Esrafilian, Rajeev Gangula, David Gesbert
We consider a scenario where an UAV-mounted flying base station is providing data communication services to a number of radio nodes spread over the ground. We focus on the problem…