A self-adaptive edge caching framework using Transformer-based bandwidth forecasting, PPO-based bitrate selection, and DDPG-based cache control improves video delivery metrics over FlyCache in simulation.
Cache placement optimization in mobile edge computing networks with unaware environ- ment—an extended multi-armed bandit approach,
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ProCAVE: A Self-Adaptive, Full-Lifecycle Edge Caching Framework for Video Streaming via Predictive Bandwidth Estimation and Preference-Aware Deep Reinforcement Learning
A self-adaptive edge caching framework using Transformer-based bandwidth forecasting, PPO-based bitrate selection, and DDPG-based cache control improves video delivery metrics over FlyCache in simulation.