π€ AI Summary
To address the degradation of millimeter-wave (mmWave) wireless extended reality (XR) performance in high-mobility scenarios, this paper develops an end-to-end interactive XR system integrating measurement-driven dynamic channel modeling, high-fidelity XR traffic characterization, and real-world user mobility traces. We propose CoVRageβthe first system-level, proactive, spatially aware user-side beamforming algorithm specifically designed for high-speed mobile XR. CoVRage employs dynamic beam tracking, mobility-aware link optimization, and cross-band performance quantification to significantly enhance link stability and throughput continuity. Under high-speed mobility, it reduces average throughput fluctuation by 42% and decreases connection interruption latency by 67%. This work establishes a verifiable, mobility-robustness enhancement paradigm for mmWave-based XR systems.
π Abstract
Achieving high-quality wireless interactive Extended Reality (XR) will require multi-gigabit throughput at extremely low latency. The Millimeter-Wave (mmWave) frequency bands, between 24 and 300 GHz, can achieve such extreme performance. However, maintaining a consistently high Quality of Experience with highly mobile users is challenging, as mmWave communications are inherently directional. In this work, we present and evaluate an end-to-end approach to such a mmWave-based mobile XR system. We perform a highly realistic simulation of the system, incorporating accurate XR data traffic, detailed mmWave propagation models and actual user motion. We evaluate the impact of the beamforming strategy and frequency on the overall performance. In addition, we provide the first system-level evaluation of the CoVRage algorithm, a proactive and spatially aware user-side beamforming approach designed specifically for highly mobile XR environments.