Reële-Tijd Hoge-Datasnelheid AR

This thesis investigates the feasibility of employing millimeter-wave (mmWave) technology to support extended reality (XR) applications, specifically focusing on head-mounted displays (HMDs). XR systems impose stringent requirements on wireless networks, including low motion-to-photon (M2P) latency, high reliability, and substantial data throughput to ensure real-time feedback and high-quality visual experiences. The study highlights the challenge of integrating directional mmWave antenna arrays into HMDs, given the rapid and oftentimes unpredictable head movements that characterize XR use cases. To address these challenges, the thesis explores the unique characteristics of mmWave propagation and XR mobility, conducting extensive measurements and simulations to evaluate the performance of mmWave links in XR depoyment scenarios. The research includes a mobility measurement campaign capturing six degrees of freedom (6DoF) movements in XR scenarios and an mmWave channel sounding campaign to assess the benefits of featuring multiple antenna arrays on HMDs. Furthermore, using a tailor-made simulation framework, the thesis proposes a Pareto-optimal modulation and coding scheme (MCS) selection policy that meets XR's demands for low-latency and high-reliability communication in mmWave Wi-Fi networks. Additionally, the work evaluates the impact of beamforming training (BFT) on link quality, introducing an adaptive scheduling approach that leverages real-time mobility data to improve link quality. This thesis provides critical insights into the challenges and opportunities for integrating mmWave technology into XR systems, outlining a path forward for the development of high-performance wireless HMDs.