An Open-Source Fine-Grained Benchmarking Platform for Wireless Virtual Reality

Martin Danhier, Karim El Khoury, Benoît Macq

Abstract: Due to the improved mobility it provides, wireless virtual reality has become a promising technology used in a multitude of applications, ranging from casual gaming and film animation to remote tourism and medical assistance. However, it faces a diverse set of constraints, from both a technical and a user experience standpoint, with varying requirements depending on the application. To overcome these constraints, it is important to have a clear overview of the wireless virtual reality system as well as an in-depth understanding of the end-to-end video transmission pipeline. In this paper, we propose a plug-and-play open-source wireless virtual reality benchmarking platform that is able to perform fine-grained measurements directly within a complete pipeline. This platform can be used to detect critical bottlenecks and anomalies within the system. In addition, the platform facilitates the choice of optimal parameters for a specific application. The source code of this work is publicly available and should be seen as a first step to encourage the use of open-source benchmarking tools within the virtual reality community.