Motion Prediction and Pre-Rendering at the Edge to Enable Ultra-Low Latency Mobile 6DoF Experiences
As virtual reality (VR) applications become popular, the desire to enable high-quality, lightweight, and mobile VR can potentially be achieved by performing the VR rendering and encoding computations at the edge and streaming the rendered video to…
State of Energy Prediction in Renewable Energy-driven Mobile Edge Computing using CNN-LSTM Networks
Renewable energy (RE) is a promising solution to save grid power in mobile edge computing (MEC) systems and thus reducing the carbon footprints. However, to effectively operate the RE-based MEC system, a method for predicting the state of energy (…
Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications
To function optimally and efficiently, connected autonomous vehicles must be equipped with both adequate computational resources and computing architectures. In this paper, the researchers determine the critical performance metrics required for…
