
Dynamic co-optimization of XR workloads, network slicing, and edge compute in real time. Closed-loop XR-aware control over 5G + MEC resources.
Traditional 5G demonstrations focus on network performance metrics in isolation. However, XR applications demand a fundamentally different approach—one that treats the system as an integrated whole.
XR experiences require sub-25ms latency, , and minimal motion-to-photon delay. These requirements must be met while optimizing network resources, managing edge compute capacity, and adapting to dynamic user demands.
Our solution: an XR × 5G × Compute operating system that orchestrates all three layers in real time.
Continuous collection of XR metrics: latency, FPS, motion-to-photon delay, and packet loss.
Mozart-inspired reasoning for optimal resource allocation and adaptive decision-making.
Adaptive allocation of eMBB, URLLC, and mMTC slices based on XR workload requirements.
Intelligent workload placement decisions between edge and cloud infrastructure.
Live dashboard showing QoE metrics, network state, and compute decisions.
Continuous feedback loop: XR App → Telemetry → Control → Network → Compute.

AR/VR/Digital Twin applications running on XR devices, continuously generating telemetry about user experience quality.
Central orchestration engine that receives telemetry, applies policy rules, and makes dynamic decisions about network and compute resources.
Dynamic network slicing, QoS enforcement, and mobile edge computing resources controlled by the XRM Controller.
Distributed compute infrastructure with intelligent workload placement based on latency and resource requirements.
Dynamically schedule based on XR application type and adjust slice type, QoS/QoE policy, and edge offload decisions in real-time.
Verify that XR App → Telemetry → Controller → Scheduling → 5G + Edge + Compute forms a complete feedback loop.
Demonstrate that this is an "XR × 5G × Compute operating system", not just an app running on 5G/Edge.
Visit the dashboard to see real-time XRM-Native 5G orchestration in action, or explore the architecture documentation to understand the system design.