| 2024 | LANMAN | Automated Private 5G Network Planning for Professional Industries. | Melina Geis, Caner Bektas, Stefan Bcker, Christian Wietfeld |
| 2024 | LANMAN | AI-Driven Planning of Private Networks for Shared Operator Models. | Melina Geis, Caner Bektas, Stefan Bcker, Christian Wietfeld |
| 2022 | INDIN | Enhancing Reliability by Combining Manufacturing Processes and Private 5G Networks. | Marcel Mller, Jan-Martin Knorr, Daniel Behnke, Christian Arendt, Stefan Bcker, Caner Bektas, Christian Wietfeld |
| 2022 | WCNC | DRaGon: Mining Latent Radio Channel Information from Geographical Data Leveraging Deep Learning. | Benjamin Sliwa, Melina Geis, Caner Bektas, Melisa Lpez, Preben Mogensen, Christian Wietfeld |
| 2021 | VTC | Rapid Network Planning of Temporary Private 5G Networks with Unsupervised Machine Learning. | Caner Bektas, Stefan Bcker, Benjamin Sliwa, Christian Wietfeld |
| 2019 | GLOBECOM | Reliable Software-Defined RAN Network Slicing for Mission-Critical 5G Communication Networks. | Caner Bektas, Stefan Bocker, Fabian Kurtz, Christian Wietfeld |
| 2018 | GLOBECOM | Towards 5G: An Empirical Evaluation of Software-Defined End-to-End Network Slicing. | Caner Bektas, Stefan Monhof, Fabian Kurtz, Christian Wietfeld |
| 2018 | NetSoft | Network Slicing for Critical Communications in Shared 5G Infrastructures - An Empirical Evaluation. | Fabian Kurtz, Caner Bektas, Nils Dorsch, Christian Wietfeld |