Proactive Communication, Computing, and Caching (P3C): A Novel Method for MEC-Based 360^◦ Mobile VR Video Streaming

Mobile Virtual Reality Video (MVRV) is expected to be one of the most impactful applications in future wireless networks. However, it presents substantial challenges in satisfying the stringent latency and ultra-reliability requirements necessary for delivering a seamless and immersive user experience. To address these challenges, we propose a novel mobile edge computing (MEC)-based 360^◦ MVRV streaming framework that incorporates proactive communication, computing, and caching (P3C). Unlike prior MEC-based approaches that limit the proactive stage to caching, the proposed P3C framework generalizes this stage to also include communication and computation. We design a complete P3C-based streaming system that integrates parallel process of communication and computing, aided by a deep neural network for dynamic performance optimization. In addition, we develop an analytical framework to achieve the end-to-end delay. Simulation results demonstrate that the proposed system substantially reduces delay compared to conventional methods.