UDP Synthetic Dataset for training ML time series models

The dataset available has been produced by the "Next-Generation IoT solutions for the universal supply chain" (iNGENIOUS) project’s consortium under EC grant agreement 957216,  made publicly available as part of the Horizon 2020 Open Research Data Pilot (ORD pilot).
The European Commission is not liable for any use that may be made of the information contained herein.

The available dataset is in csv format and contains synthetic data of UDP packets received and sent by a single User Plane Function (UPF) covering a span of 6 weeks. The format of the datafile is:

• index
• timestamp 
• UDP packets_rcvd - Total number of UDP packets received
• UDP packets sent - Total number of UDP packets sent

The simulation was performed based on behavior of UPF and 5GC Network functions inferred from stress tests performed in the iNGENIOUS project's Automated Robots with Heterogeneous Networks Use Case, as well as patterns in urban mobility taken from available UE datasets [NCS+19].

More information on the iNGENIOUS project can be found on the project’s website: https://ingenious-iot.eu/

[NCS+19] Noussan M, Carioni G, Sanvito FD, Colombo E. Urban Mobility Demand Profiles:
Time Series for Cars and Bike-Sharing Use as a Resource for Transport and Energy
Modeling. Data. 2019; 4(3):108. https://doi.org/10.3390/data4030108