arXiv:2601.06862v2 Announce Type: replace-cross Abstract: The quality of the user experience has become one of the most important aspects in todays world, as it directly influences individuals willingness to continue using or abandon a product or service. In this context, video conferencing applications (VCAs), which experienced widespread adoption following the COVID-19 pandemic, must deliver excellent performance to remain competitive in an increasingly crowded market. Although content providers (CPs) such as Zoom, WhatsApp, Telegram, and Google Meet can assess conversation quality by compar
The proliferation of encrypted video conferencing during and after the pandemic necessitates new methods for performance monitoring without violating privacy, driving research into QoE prediction from limited data.
Accurate prediction of Quality of Experience (QoE) from packet-level data is crucial for optimizing video conferencing applications without decrypting user content, impacting user satisfaction and service provider competitiveness.
This research could lead to more efficient and private network management for encrypted communications, allowing providers to proactively address quality issues based on traffic patterns rather than content analysis.
- · Video Conferencing Providers
- · Network Infrastructure Companies
- · Users of Encrypted Communication Services
- · Companies relying on deep packet inspection for quality control
Improved user experience and retention for encrypted video conferencing platforms.
Reduced operational costs for service providers due to more effective network resource allocation and troubleshooting.
Potential for new privacy-preserving analytics services that assess network performance and user experience across various encrypted applications.
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Read at arXiv cs.LG