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Persons standing with two drones in front of them © TU Dortmund

And the Best Paper Award of IEEE Future Networks World Forum 2022 in Montreal goes to ...

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Logo of Future Networks Conference next to a Dragon logo © CNI
.... Melina Geis, Benjamin Sliwa, Caner Bektas and Christian Wietfeld for their paper "TinyDRaGon: Lightweight Radio Channel Estimation for 6G Pervasive Intelligence, which is the result of research carried out primarily in the BMBF 6G Research Hub 6GEM and the 5G.NRW project "Plan & Play". The foundations of the work have been laid in the DFG Collaborative Research Centre SFB 876. The paper introduces a resource-efficient new method to derive complex radio channel characteristics from geo-information and machine-learning methods. For the considered scenarios, the newly proposed method shows more accurate results with lower computational efforts than established methods, such as ray tracing.

The conference organizers have announced the award via twitter with the headline "You've got to love a tinyDragon", making reference to the acronym "DRaGon-Deep Radio Channel Modeling from Geoinformation".

While the original DraGon method was introduced at WNCN 2022 used Deep Neural Networks, the tinyDragon relies on clever feature extraction combined with the resource-efficient Random Forest approach.

The tinyDraGon paper was one of four CNI papers presented at this year's IEEE Future Networks World Forum taking place in Montreal, Canada.

  • M. Geis, B. Sliwa, C. Bektas, C. Wietfeld, "TinyDRaGon: Lightweight Radio Channel Estimation for 6G Pervasive Intelligence", In 2022 IEEE Future Networks World Forum (FNWF), Montreal, Canada, October 2022. [pdf] [Details]
  • C. Bektas, S. Böcker, C. Wietfeld, "The Cost of Uncertainty: Impact of Overprovisioning on the Dimensioning of Machine Learning-based Network Slicing", In 2022 IEEE Future Networks World Forum (FNWF), Montreal, Canada, October 2022. [pdf] [Details]
  • C. Arendt, S. Böcker, C. Bektas, C. Wietfeld, "Better Safe Than Sorry: Distributed Testbed for Performance Evaluation of Private Networks", In 2022 IEEE Future Networks World Forum (FNWF), Montreal, Canada, October 2022.  [pdf] [Details]
  • S. Häger, S. Böcker, C. Wietfeld, “3D Self-Motion Tracking Services: Coalescence of mmWave Beam Orientations and Phase Information", In 2022 IEEE Future Networks World Forum (FNWF), Montreal, Canada, October 2022.  [pdf] [Details]

This best paper award marks the 18th international best award dedicated to CNI researchers since 2005.

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