MARC: Motion-Aware Rate Control for Mobile E-commerce Cloud Rendering

Mobile e-commerce platforms increasingly integrate cloud rendering to deliver immersive 3D shopping experiences, where users interact with the rendered scenes through the network. Our large-scale online measurements reveal that users' Quality of Experience (QoE) preferences dynamically evolve with user motions in cloud rendering sessions. However, latency spikes occur more frequently during peak periods of user engagement, resulting in early session abandonment. To address this issue, we propose MARC, a motion-aware rate control framework that aligns bitrate decisions with user QoE preferences in real-time. MARC sets dynamic QoE objectives based on real-world user engagement behavior, captures the different latency and quality requirements for motion and non-motion frames, and employs stochastic optimization to maximize QoE. Extensive deployment of over 1 million user sessions demonstrates that MARC reduces session freeze rates by 71% and increases user interaction time by 20%, significantly improving user engagement for e-commerce cloud rendering.