A Edge-computing Framework with AR Applications for Telehealth

Telehealth has the potential to bring high-quality medical care to patients outside hospitals, and Augmented Reality (AR) applications can further promote real-time healthcare delivery and immersive experience while imposing stringent requirements on network infrastructure. This study presents an end-to-end AR-based application empowered by nextG infrastructure. It leverages Multi-Access Edge Computing (MEC) and tackles communication requirements based on use scenarios for connected health. Unlike the majority of large-scale, commercially available platforms that support AR devices relying on upper protocols of networks such as IPv4 or IPv6, this study uses protocols in the lower layer stacks to provide a light-weighted solution in device and data management. We further consider the AR application requirements and satisfaction to achieve system-level sustainability and scalability.