تقرير
CANE: A Cascade-Control Approach for Network-Assisted Video QoE Management
| العنوان: | CANE: A Cascade-Control Approach for Network-Assisted Video QoE Management |
|---|---|
| المؤلفون: | Hosseinzadeh, Mehdi, Shankar, Karthick, Apostolaki, Maria, Ramachandran, Jay, Adams, Steven, Sekar, Vyas, Sinopoli, Bruno |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science Mathematics |
| مصطلحات موضوعية: | Mathematics - Optimization and Control, Computer Science - Networking and Internet Architecture, Electrical Engineering and Systems Science - Systems and Control |
| الوصف: | Prior efforts have shown that network-assisted schemes can improve the Quality-of-Experience (QoE) and QoE fairness when multiple video players compete for bandwidth. However, realizing network-assisted schemes in practice is challenging, as: i) the network has limited visibility into the client players' internal state and actions; ii) players' actions may nullify or negate the network's actions; and iii) the players' objectives might be conflicting. To address these challenges, we formulate network-assisted QoE optimization through a cascade control abstraction. This informs the design of CANE, a practical network-assisted QoE framework. CANE uses machine learning techniques to approximate each player's behavior as a black-box model and model predictive control to achieve a near-optimal solution. We evaluate CANE through realistic simulations and show that CANE improves multiplayer QoE fairness by ~50% compared to pure client-side adaptive bitrate algorithms and by ~20% compared to uniform traffic shaping. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2301.05688 |
| رقم الأكسشن: | edsarx.2301.05688 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |