Dataset from VR Streaming Server (Emulated) and Radio Access Network for Streaming Traffic

The dataset contains an experiment in  a site where UEs attach to a gNodeB that provides access to a streaming server that is stressed with high demanding transcoding workloads to emulate VR/AR processes. The UEs are realized through the Remote UE mode enabled by Amarisoft Simbox emulator, and the gNodeB is realized through the Amarisoft Callbox, which also provides the user plane function. The emulated VR streaming server is deployed as a Nginx pod in a Kubernetes cluster.

We rely on MonB5G sampling functions that feed monitoring data (CPU and RAN parameters) to the monitoring system. A streaming video server has been deployed with the help of a NGINX server. It provides video-on-demand and video streaming, which can be accessed by any user (or UE) for real-time reproduction. This VR video streaming emulation aids to assess the performance of the network and therefore the benefits that each solution has brought. The video “Big Buck Bunny” with h.264 encoding and a resolution of 1920x1080p has been used for the experiments.The description of dataset features are:
1-) Index Number,
2-) Time: Time of the experiment,
3-) N: number of VR streaming clients,
4-) C: Average CPU of VR streaming server [mc]
5-) O: Outbound traffic at the server average outbound traffic (O) flowing from the data interface of the video server. 
6-) R: Instantaneous downlink bit rate [Mbps],

The original video file information: