Dynamic video delivery using deep reinforcement learning for device-to-device underlaid cache-enabled Internet-of-vehicle networks

This paper addresses an Internet-of-vehicle network that utilizes a device-to-device (D2D) underlaid cellular system, where distributed caching at each vehicle is available and the video streaming service is provided via D2D links. Given the spectrum reuse policy, three decisions having different timescales in such a D2D underlaid cache-enabled vehicular network were investigated: 1) The decision ...