Important results from the project
We have classified wireless transport links based on observed traffic patterns. In addition, we developed a traffic model for wireless transport links based on the traffic patterns we observed. The model provides time series of data for traffic demand for a given class of wireless transport links.
Expected long term effects
The lessons learned from the project can help us better design wireless transport links.
Approach and implementation
The project started with the students getting familiar with Ericsson´s cloud environment while reading relevant literature. Machine learning-based classification methods were then used to classify the wireless transport data logs. Based on our observations, we developed a traffic model for wireless transport links for a given link class.
The project description has been provided by the project members themselves and the text has not been looked at by our editors.
