David Gesbert
Papers
6
Total Citations
415
H-Index
6
About
David Gesbert is a pioneering researcher at the forefront of wireless communications, with a primary focus on unmanned aerial vehicle (UAV)-aided networking and autonomous robotic relays. His major contributions lie in developing optimal positioning algorithms for flying relays, enabling drones to autonomously fill coverage and capacity gaps in terrestrial networks. His seminal works, such as "Optimal positioning of flying relays for wireless networks: A LOS map approach" and "Learning radio maps for UAV-aided wireless networks: A segmented regression approach," each amassing 167 citations, have established foundational frameworks for UAV-assisted connectivity. Gesbert also introduced the innovative "Rebot" (Relaying Robot) concept, demonstrated through real-world LTE relay experiments using OpenAirInterface, marking a first-of-its-kind achievement in autonomous flying relays. His recent research extends into joint vehicular localization and reflective mapping via Team Channel-SLAM, pushing boundaries in high-resolution positioning. With a career spanning highly cited papers and practical system implementations, Gesbert’s work is instrumental in shaping the future of autonomous, drone-enhanced wireless networks, offering transformative solutions for both academic researchers and industry practitioners.
Research Focus
Key Achievements
Top Papers
- 1Optimal positioning of flying relays for wireless networks: A LOS map approach167 citations · 2017
- 2
- 3
- 4UAV-Aided RF Mapping for Sensing and Connectivity in Wireless Networks18 citations · 2022
- 5Local Map-assisted Positioning for Flying Wireless Relays.14 citations · 2018
- 6