Direct Closed-Loop MTP-Violation Measurement

Establish direct closed-loop measurement and validation of motion-to-photon latency violations for XR traffic predictions, beyond the queueing-delay proxy used to assess MTP risk.

Background

The paper evaluates MTP risk indirectly by estimating offered load from predicted frame count, frame size, and inter-arrival time, then applying a queueing-delay proxy and threshold-based risk indicator. This analysis suggests that residual correction improves detection of burst-induced risk windows, but it does not measure actual end-to-end motion-to-photon latency violations in a live XR system.

Direct closed-loop measurement would be needed to determine whether the predicted traffic improvements translate into reliable prevention or detection of real MTP constraint violations under operational network conditions.

References

This indicates improved detection of burst-induced risk windows, while direct closed-loop MTP-violation measurement remains future work.

— ResLearn-XR: Residual Learning for Network Traffic and Quality-of-Experience-Aware Modeling in Extended Reality  (2609.04493 - Manjunath et al., 3 Sep 2026) in Section 5, subsection “Traffic Prediction” (discussion of Table VI)