Cloud-based Virtual Reality (VR) streaming presents significant challenges for 802.11 networks due to its high throughput and low latency requirements. When multiple VR users share a Wi-Fi network, the resulting uplink and downlink traffic can quickly saturate the channel. This paper investigates the capacity of 802.11 networks for supporting realistic VR streaming workloads across varying frame rates, bitrates, codec settings, and numbers of users. We develop an emulation framework that reproduces Air Light VR (ALVR) operation, where real HEVC video traffic is fed into an 802.11 simulation model. Our findings explore Wi-Fi's performance anomaly and demonstrate that Intra-refresh (IR) coding effectively reduces latency variability and improves QoS, supporting up to 4 concurrent VR users with Constant Bitrate (CBR) 100 Mbps before the channel is saturated.

翻译：基于云的虚拟现实（VR）流媒体因其高吞吐量和低延迟需求，对802.11网络提出了重大挑战。当多个VR用户共享一个Wi-Fi网络时，由此产生的上行和下行流量会迅速使信道饱和。本文研究了802.11网络在不同帧率、比特率、编解码器设置和用户数量下支持真实VR流媒体工作负载的能力。我们开发了一个仿真框架，该框架复现了Air Light VR（ALVR）的运行机制，将真实的HEVC视频流量输入到802.11仿真模型中。我们的研究结果探讨了Wi-Fi的性能异常现象，并证明帧内刷新（IR）编码能有效降低延迟波动性并提升服务质量，在信道饱和前可支持多达4个并发VR用户使用100 Mbps的恒定比特率（CBR）。