  Interactive Virtual Reality (VR) streaming over Wi-Fi networks encounters
significant challenges due to bandwidth fluctuations caused by channel
contention and user mobility. Adaptive BitRate (ABR) algorithms dynamically
adjust the video encoding bitrate based on the available network capacity,
aiming to maximize image quality while mitigating congestion and preserving the
user's Quality of Experience (QoE). In this paper, we experiment with ABR
algorithms for VR streaming using Air Light VR (ALVR), an open-source VR
streaming solution. We extend ALVR with a comprehensive set of metrics that
provide a robust characterization of the network's state, enabling more
informed bitrate adjustments. To demonstrate the utility of these performance
indicators, we develop and test the Network-aware Step-wise ABR algorithm for
VR streaming (NeSt-VR). Results validate the accuracy of the newly implemented
network performance metrics and demonstrate NeSt-VR's video bitrate adaptation
capabilities.
