A brief history
A brief history
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The primary goal of our group is to bridge communications and robotics using new machine-learning tools and traditional optimization techniques. The project was initially started under the Perfume project funded by the ERC grant received by Prof. David Gesbert. From then and Up until this day, we have demonstrated several applications of integrating robots (especially drones) and wireless communications. And we are moving towards using 5G on robots for different scenarios ranging from drone-base stations to sensing and localization. The list of our previous demonstrations and publications can be found below.
List of recent projects and demos
List of recent projects and demos
Demos:
Connected Robotics Part I: Control and monitor a UAV over 5G networks, 2023
Intelligent IoT “Data Harvesting” Using Autonomous Flying Radios, 2019
Awards and grants:
The seed funding grant for the call Fostering European Technological Sovereignty (German-French Academy for the Industry of the Future), 2022.
The award for "Fundamental research project of the year" by the French SCS (Secured Communications) Research and Industry Cluster, 2019
The European Research Council (ERC) Advanced Grant ( "PERFUME" project) Funding award 2.4 M Euros, 2015 to 2020.
List of selected publications
List of selected publications
M. Nikooroo, O. Esrafilian, Z. Becvar, and D. Gesbert, Optimization of Placement and Resource Allocation in UAV-aided Multi-hop Wireless Networks. IEEE Internet of Things Journal, 2024.
M. Mestoukirdi, O. Esrafilian, D. Gesbert, Q. Li, and N. Gresset, Communication-Efficient Federated Learning via Regularized Sparse Random Networks. IEEE Communications Letters, 2024.
J. Chen, O. Esrafilian, H. Bayerlein, D. Gesbert, and M. Caccamo. Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks. IEEE Global Communications Conference Workshops (GLOBECOM Workshops), 2023.
R. Gangula, O. Esrafilian, D. Gesbert, and T. Melodia. Localization in Multi-antenna LoS channels using pulse shape. Asilomar Conference on Signals, Systems, and Computers, 2023.
R. Mundlamuri, O. Esrafilian, R. Gangula, R. Kharade, C. Roux, F. Kaltenberger, R. Knopp, and D. Gesbert. Integrated Access and Backhaul in 5G with Aerial Distributed Unit using OpenAirInterface. ACM WiNTECH Workshop, 2023.
O. Esrafilian, R. Gangula, and D. Gesbert, "UAV-aided Network Localization Using Radio Phase Measurements", IEEE ICC workshop, 2023.
M. Nikooroo, Z. Becva, O. Esrafilian, and D. Gesbert, "Channel Reuse for Backhaul in UAV Mobile Networks with User QoS Guarantee", Accepted for publication in IEEE ICC, 2023.
D. Gesbert, O. Esrafilian, J. Chen, R. Gangula, U. Mitra, "UAV-aided RF Mapping for Sensing and Connectivity in Wireless Networks", Accepted for publication in IEEE Wireless Communications Magazine, 2022.
M. Mestoukirdi, O. Esrafilian (equal contributions), D. Gesbert, and Q. Li, "UAV-Aided Multi-Community Federated Learning", Accepted for publication in IEEE GLOBECOM, 2022.
M. Nikooroo, O. Esrafilian, Z. Becva, and D. Gesbert, "Sum Capacity Maximization in Multi-Hop Mobile Networks with Flying Base Stations", Accepted for publication in IEEE GLOBECOM, 2022.
M. Nikooroo, Z. Becva, O. Esrafilian, and D. Gesbert, " QoS-Aware Sum Capacity Maximization for Mobile Internet of Things Devices Served by UAVs", Accepted for publication in IEEE PIMRC Workshop on Sustainable and Intelligent Green Internet of Things for 6G and Beyond, 2022.
O. Esrafilian, R. Gangula, and D. Gesbert, "UAV-aided Wireless Node Localization Using Hybrid Radio Channel Models.", IEEE ICC workshop, 2022.
O. Esrafilian, H. Bayerlein, and D. Gesbert, "Model-aided deep reinforcement learning for sample-efficient UAV trajectory design in IoT networks.", IEEE GLOBECOM, 2021.
O. Esrafilian, R. Gangula, and D. Gesbert, "Map Reconstruction in UAV Networks via Fusion of Radio and Depth Measurements." IEEE ICC, 2021.
O. Esrafilian, R. Gangula, and D. Gesbert, "3D Map-based Trajectory Design in UAV-aided Wireless Localization Systems.", IEEE Internet of Things Journal, 2020.
O. Esrafilian, R. Gangula, and D. Gesbert, "Autonomous UAV-aided Mesh Wireless Networks." IEEE INFOCOM Workshops, 2020.
O. Esrafilian, R. Gangula, and D. Gesbert, "3D-map assisted uav trajectory design under cellular connectivity constraints.", IEEE ICC, 2020.
O. Esrafilian, R. Gangula, and D. Gesbert, "Learning to Communicate in UAV-aided Wireless Networks: Map-based Approaches.", IEEE Internet of Things Journal, 2018.
O. Esrafilian, R. Gangula, and D. Gesbert, “UAV-relay Placement with Unknown User Locations and Channel Parameters”, Asilomar, 2018.
R. Gangula, O. Esrafilian, D. Gesbert, C. Roux, F. Kaltenberger, and R. Knopp, “Flying Rebots: First Results on an Autonomous UAV-Based LTE Relay using OpenAirInterface”, IEEE SPAWC, 2018.
O. Esrafilian and David Gesbert, "Simultaneous User Association and Placement in Multi-UAV Enabled Wireless Networks.", IEEE WSA, 2018.
O. Esrafilian and David Gesbert, "3D city map reconstruction from UAV-based radio measurements.", IEEE GLOBECOM, 2017.
J. Chen, O. Esrafilian, D. Gesbert, and U. Mitra, "Efficient algorithms for air-to-ground channel reconstruction in UAV-aided communications.", IEEE GLOBECOM Workshops, 2017.
R. Gangula, P. de Kerret, O. Esrafilian, and D. Gesbert, “Trajectory optimization for mobile access point.”, Asilomar, 2017.
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