Mobile Medical Technologies for integrated emergency and trauma response (MOMENTUM) - Department of Communications Engineering

Mobile Medical Technologies for integrated emergency and trauma response (MOMENTUM)

Details

Duration:	09/2019 - 05/2023
Funding:	Federal Ministry of Education and Research
Partners:	Innovation Center Computer Assisted Surgery, University of Leipzig University of Leipzig Medical Center, Trauma Sugery University Medical Center Schleswig-Holstein Institute for Electrical Engineering in Medicine, University of Lübeck SurgiTAIX AG ERNW Research GmbH

Publications

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Flexible Robust Beamforming for Multibeam Satellite Downlink using Reinforcement Learning BibT_EX
A. Schröder, S. Gracla, M. Röper, D. Wübben, C. Bockelmann, A. Dekorsy
IEEE International Conference on Communications (ICC), Denver, USA, 9. - 13. July 2024
Energy and Bandwidth Efficiency of Event-Based Communication BibT_EX
C. Willuweit, C. Bockelmann, A. Dekorsy
IEEE 97th Vehicular Technology Conference (VTC Spring 23), Florence, Italy, 20. - 23. June 2023
Learning Model-Free Robust Precoding for Cooperative Multibeam Satellite Communications BibT_EX
S. Gracla, A. Schröder, M. Röper, C. Bockelmann, D. Wübben, A. Dekorsy
SDPNGS 2023: Signal and Data Processing for Next Generation Satellites at 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodos, Greece, 4. - 10. June 2023, DOI
A Dynamical Model for CSI Feedback in Mobile MIMO Systems using Dynamic Mode Decomposition BibT_EX
F. Haddad, C. Bockelmann, A. Dekorsy
IEEE International Conference on Communications, Italy, 28. May - 1. June 2023
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation BibT_EX
S. Gracla, C. Bockelmann, A. Dekorsy
International ITG 26th Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding, Braunschweig, Germany, 27. February - 3. March 2023, ISBN 978-3-8007-6050-3
Hardware Offset Multi-User Detection for Ultra-Low-Complexity Wireless Sensor Nodes BibT_EX
C. Willuweit, C. Bockelmann, A. Dekorsy
IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil, 4. - 8. December 2022
Robust Deep Reinforcement Learning Scheduling via Weight Anchoring BibT_EX
S. Gracla, E. Beck, C. Bockelmann, A. Dekorsy
IEEE, IEEE Communications Letters, Vol. 27, No. 1, pp. 210 - 213, October 2022, DOI
On the Importance of Exploration for Real Life Learned Algorithms BibT_EX
S. Gracla, C. Bockelmann, A. Dekorsy
IEEE, 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communications, Oulu, Finland, 28. - 30. July 2022, DOI
Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients BibT_EX
S. Gracla, E. Beck, C. Bockelmann, A. Dekorsy
IEEE, IEEE International Conference on Communications, Seoul/Online, Southkorea, 16. - 20. May 2022, DOI
Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care BibT_EX
S. Gracla, E. Beck, C. Bockelmann, A. Dekorsy
IEEE, IEEE Wireless Communications and Networking Conference, Austin/Online, USA, 13. - 16. April 2022, DOI

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