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Reliable Software-Defined RAN Network Slicing for Mission-Critical 5G Communication Networks., , , and . GLOBECOM Workshops, page 1-6. IEEE, (2019)Synchronized measurement concept for failure handling in software-defined smart grid communications., , , and . SmartGridComm, page 1-6. IEEE, (2017)Rapid Network Planning of Temporary Private 5G Networks with Unsupervised Machine Learning., , , and . VTC Fall, page 1-6. IEEE, (2021)Software-Defined End-to-End Evaluation Platform for Quality of Service in Non-Standalone 5G Systems., , , , and . SysCon, page 1-8. IEEE, (2019)Machine Learning-Enabled 5G Network Slicing., , , and . Mach. Learn. under Resour. Constraints Vol. 3 (3), De Gruyter, (2022)On the Benefits of Demand-based Planning and Configuration of Private 5G Networks., , , , , and . VNC, page 158-161. IEEE, (2021)Network Slicing for Critical Communications in Shared 5G Infrastructures - An Empirical Evaluation., , , and . NetSoft, page 393-399. IEEE, (2018)SAMUS: Slice-Aware Machine Learning-based Ultra-Reliable Scheduling., , and . ICC, page 1-6. IEEE, (2021)TinyDRaGon: Lightweight Radio Channel Estimation for 6G Pervasive Intelligence., , , and . FNWF, page 658-663. IEEE, (2022)Enhancing Reliability by Combining Manufacturing Processes and Private 5G Networks., , , , , , and . INDIN, page 421-428. IEEE, (2022)