QoEyes: Towards Virtual Reality Streaming QoE Estimation Entirely in the Data Plane
Francisco Germano Vogt, Fabricio Rodríguez, Ariel Góes deCastro, Marcelo Caggiani Luizelli, Christian Esteve Rothenberg, Gergely Pongrácz · 2023
In recent years, advances in virtual reality (VR) technologies (e.g., high-quality VR headsets) have enabled a new perspective of experiences for users (e.g., gaming, online events). However, ensuring the user experience is still a challenge. Existing solutions are limited to measuring and estimating QoE at the user plane (e.g., VR player) or at the control plane, imposing unfeasible latency for different scenarios (5G networks and beyond). In this work, we propose QoEyes, an in-network QoE estimation based on the use of Inter-Packet-Gap (IPG) in programmable devices. Our results show that the IPG measured on the data plane is strongly linked to QoE, yielding an accurate data plane QoE estimate.