UE NETWORK TRAFFIC TIME-SERIES (APPLICATIONS, THROUGHPUT, LATENCY, CQI) IN LTE/5G NETWORKS

These attenuation scenarios emulate cars traveling a specific city route with speeds that vary from 40 to 60 km/h. These car scenarios were used to collect 182500 CQI data from 73 cars capturing a large spectrum of the route's traffic. To attenuate the signal in order to emulate the realistic mobility scenarios, we utilized Programmable Attenuators that were connected directly to the RAN.

The CQI dataset is publicly available here. Traffic monitoring, as well as traffic analysis and CQI, is captured/calculated in almost real-time from our custom Data Analytics Function (NWDAF) named Core & Ran Analytics Function (CRAF). CRAF utilizes the PyShark to live capture the traffic and FlexRAN controller to obtain RAN Statistics such as the CQI.

Then it stores all the data in a MySQL database. These data were exported as a .csv file for easy data analysis and preprocessing.