Dissemination Activities
- K. Lu, DNN-Enabled Multi-User Beamforming for Throughput Maximization under Adjustable Fairness, ICMLCN 2026, June 2026, Abu Dhabi, UAE
- S. Schwarz, Learning to Solve Wireless PHY Problems: From Structured Models to Attention-Based Methods, Rhine Wireless Summit 2026, April 2026, Starnberg, Germany
Publications
- L. Schulz, S. Schwarz and G. Bauch, Generalized Framework for a Fair Comparison of Cellular and Cooperative Massive MIMO Systems, under review at IEEE TWC
- K. Lu, M. Rupp and S. Schwarz, DNN-Enabled Multi-User Beamforming for Throughput Maximization under Adjustable Fairness, IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Abu Dhabi, UAE, 2026
Prior Results
ESSENCE is based on our prior research:
- S. Schwarz, K. Lu and M. Rupp, “Transformer DNNs for Versatile CSI-Based Wireless Communication and Localization,” in 28th International Symposium on Wireless Personal Multimedia Communications (WPMC 2025), Nov. 2025, doi: 10.1109/WPMC67460.2025.11351262
- A. Salihu, M. Rupp and S. Schwarz, “Self-Supervised and Invariant Representations for Wireless Localization,” in IEEE Transactions on Wireless Communications, vol. 23, no. 8, pp. 8281-8296, Aug. 2024, doi: 10.1109/TWC.2023.3348203
- A. Salihu, M. Rupp and S. Schwarz, “Self-Supervised Learning for Wireless Localization,” IntechOpen, 2025, doi: 10.5772/intechopen.1003773
ESSENCE