Image & Video

ProCAVE cuts edge video latency with deep RL caching

DRL framework predicts bandwidth, boosts edge cache hit rates

Deep Dive

ProCAVE (Proactive Caching with Adaptive Video Experience) is a self-adaptive framework that unifies three components: a lightweight Transformer that forecasts short-term throughput, a PPO-based adaptive bitrate (ABR) agent that selects video quality, and a DDPG-based continuous cache controller that manages a high-dimensional global state. This full-lifecycle approach replaces the reactive ABR heuristics and loosely coupled cache policies used by existing systems like FlyCache, enabling more coordinated decisions under real-world wireless network fluctuations.

In experiments using MovieLens user preference traces and Ghent 4G bandwidth measurements, ProCAVE delivered measurable gains over FlyCache and other baselines: higher byte hit rates, lower backhaul traffic, and improved quality of experience (QoE). By making edge caching proactively aware of both network conditions and user preferences, ProCAVE demonstrates that DRL-coordinated control can significantly boost efficiency for mobile video delivery—a key competitive area as edge computing infrastructure scales.

Key Points
  • Uses a lightweight Transformer for predicted bandwidth plus PPO and DDPG for bitrate and cache control
  • Outperforms FlyCache on byte hit rate, backhaul load, and QoE using MovieLens and Ghent 4G datasets
  • Published on arXiv (2608.03313) as a 5-page paper in cs.NI

Why It Matters

Smarter edge caching means smoother mobile video and fewer infrastructure costs for operators

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