The Metaverse has emerged as the next generation of the Internet. It aims to provide an immersive, persistent virtual space where people can live, learn, work and interact with each other. However, the existing technology is inadequate to guarantee high visual quality and ultra-low latency service for the Metaverse players. Mobile Edge Computing (MEC) is a paradigm where proximal edge servers are utilized to perform computation-intensive and latency-sensitive tasks like image processing and video analysis. In MEC, the large amount of data is processed by edge servers closest to where it is captured, thus significantly reducing the latency and providing almost real-time performance. In this paper, we integrate fundamental elements (5G and 6G wireless communications, Blockchain, digital twin and artificial intelligence) into the MEC framework to facilitate the Metaverse. We also elaborate on the research problems and applications in the MEC-enabled Metaverse. Finally, we provide a case study to establish a thorough knowledge of the user utility maximization problem in a real-world scenario and gain some insights about trends in potential research directions.
翻译:元数据作为下一代互联网出现,目的是提供一个让人能够生活、学习、工作和相互交流的隐蔽、持久虚拟空间,然而,现有技术不足以保证Metverse玩家的高视觉质量和超低悬浮服务。移动边缘计算(MEC)是一个范例,即利用准边缘服务器执行图像处理和视频分析等计算密集和耐久敏感的任务。在MEC中,大量数据由最接近其捕获地点的边缘服务器处理,从而大大减少延缓,提供几乎实时的性能。在本文中,我们把基本元素(5G和6G无线通信、链链、数字双和人工智能)纳入MEC框架,以促进Metverse。我们还详细阐述了借助MEC的Metaverse的研究结果和应用。最后,我们提供案例研究,以建立对现实世界情景中用户效用最大化问题的透彻认识,并了解潜在研究方向的趋势。