Privacy-preserving sharing of spatial complexity information

Develop privacy-preserving mechanisms for sharing spatial complexity information between real-time video applications and cellular network resource-allocation controllers.

Background

QoE-aware allocation requires applications or measurement systems to provide information about video content complexity and quality. Although real-time interactive streams are often unique and difficult to identify from QoE reports, recorded or recognizable content may reveal information about what a user is watching.

The paper discusses adding noise by overstating spatial complexity as one possible mitigation, but does not establish a general privacy-preserving mechanism. The conclusion therefore lists privacy-preserving information sharing as an unresolved challenge.

References

Key open challenges remain: runtime estimation of the spatial complexity curve from limited observations, session-level QoE models that capture the temporal effects of quality transitions, privacy-preserving mechanisms for sharing spatial complexity information, and incentive structures that discourage applications from misrepresenting their QoE to gain resource advantages.

— Prototyping QoE-Aware Rate Adaptation in Cellular Networks with Commercial Applications  (2609.09490 - Nádas et al., 8 Sep 2026) in Section VI, “Conclusion”