Modelling 6Dof Vr Gaming Traffic for Next-Generation Networks

The increasing adoption of Extended Reality (XR) applications demands advanced traffic modelling to optimise next-generation wireless networks. Existing models often rely on fixed data rates (e.g., 50 Mbps) and frame rates (e.g., 60 Hz), which are insufficient for modern VR systems. This paper introduces an enhanced traffic modelling framework for highly interactive 6-degree-of-freedom (6DoF) VR gaming, incorporating video, audio, and control streams with support for higher frame rates (up to 120 Hz) and data rates (up to 251.9 Mbps). Built on empirical data from a high-fidelity VR setup, the model uses statistical analysis to fit data rate and inter-arrival times to probability distributions. The generalized logistic distribution is identified as the best fit for data rates, while the generalized extreme value distribution accurately represents inter-arrival times. Model accuracy is validated using Kullback-Leibler divergence. The findings offer critical insights for traffic generation, network planning, and resource allocation, supporting scalable and immersive $\mathbf{X R}$ experiences in future wireless networks.