论文标题
元评估的移动边缘计算
Mobile Edge Computing for the Metaverse
论文作者
论文摘要
Metavers已成为下一代互联网。它旨在提供一个身临其境的持久虚拟空间,人们可以在其中生活,学习,工作和互动。但是,现有的技术不足以保证元参与者的高视觉质量和超低潜伏期服务。移动边缘计算(MEC)是一种范式,在其中利用近端边缘服务器执行计算密集型和潜伏敏感的任务,例如图像处理和视频分析。在MEC中,大量数据是由最接近其捕获位置的边缘服务器处理的,从而大大降低了延迟并提供了几乎实时的性能。在本文中,我们将基本元素(5G和6G无线通信,区块链,数字双胞胎和人工智能)整合到MEC框架中,以促进荟萃分析。我们还详细介绍了基于MEC的Metaverse中的研究问题和应用。最后,我们提供了一个案例研究,以在实际情况下建立对用户效用最大化问题的透彻了解,并获得有关潜在研究方向趋势的一些见解。
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.