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shared infrastructure, building on network slicing, provides an optimal solution for both parties. Download as PDF View on SprinkerLink …
concept evaluation in combination with the Long Term Evolution (LTE) simulation framework SimuLTE. Download as PDF View on ARXIV …
learning based approach, the resulting success ratio for classifying cars and trucks is above 99%. Download as PDF View on ARXIV …
Applied in public networks, the predicted data rate differs by less than 1.5 Mbit/s in 93% of cases. Download as PDF View on IEEE Xplore …
percentile of 10 ms by application-aware overprovisioning for mission-critical traffic and users. Download as PDF View on ARXIV …
n time of the latter, it achieves a significantly better match with the real world evaluations. Download as PDF View on IEEE Xplore …
behavior due to implicit consideration of cross-layer dependencies by the machine learning approach. Download as PDF View on IEEE Xplore …
dynamic adaptation of slices to channel quality, ensuring reliable operation of Industrial IoT. Download as PDF View on IEEE Xplore …
failover delays, i.e. the duration cloud-driven 5G networks cannot process requests or changes. Download as PDF View on IEEE Xplore …
learning allows to achieve a significantly higher prediction accuracy than the reference methods. Download as PDF …
