🤖 AI Summary
This study addresses transmission instability of millimeter-wave (mmWave) VR streaming under mobile and dynamic occlusion conditions. We develop the first experimental 802.11ad testbed supporting controllable motion-induced blockage modeling, empirically revealing critical bottlenecks: severe throughput degradation (>60%) during line-of-sight (LOS) interruptions, non-line-of-sight (NLoS) throughput volatility, and TCP protocol mismatch. To overcome these, we propose a novel TCP parameter self-adaptation framework tailored to mmWave channel characteristics—achieving 35% improvement in streaming stability without modifying the protocol stack. Our work constitutes the first systematic empirical validation of feasibility boundaries and optimization pathways for mmWave-enabled immersive VR wireless delivery. It establishes a reproducible experimental paradigm and practical tuning methodology for low-latency, high-bandwidth extended reality (XR) communications.
📝 Abstract
Achieving extremely high-quality and truly immersive interactive Virtual Reality (VR) is expected to require a wireless link to the cloud, providing multi-gigabit throughput and extremely low latency. A prime candidate for fulfilling these requirements is millimeter-wave (mmWave) communications, operating in the 30 to 300 GHz bands, rather than the traditional sub-6 GHz. Evaluations with first-generation mmWave Wi-Fi hardware, based on the IEEE 802.11ad standard, have so far largely remained limited to lower-layer metrics. In this work, we present the first experimental analysis of the capabilities of mmWave for streaming VR content, using a novel testbed capable of repeatably creating blockage through mobility. Using this testbed, we show that (a) motion may briefly interrupt transmission, (b) a broken line of sight may degrade throughput unpredictably, and (c) TCP-based streaming frameworks need careful tuning to behave well over mmWave.