Metaverse is a new type of Internet application and social form that
integrates a variety of new technologies. It has the characteristics of
multi-technology, sociality, and hyper spatiotemporality. This paper introduces
the development status of Metaverse, from the five perspectives of network
infrastructure, management technology, basic common technology, virtual reality
object connection, and virtual reality convergence, it introduces the technical
framework of Metaverse. This paper also introduces the nature of Metaverse's
social and hyper spatiotemporality, and discusses the first application areas
of Metaverse and some of the problems and challenges it may face.

Metaverse 是一种新型的互联网应用和社交形态，该论文从网络基础设施、管理技术、基本通用技术、虚拟现实对象连接和虚拟现实融合等五个层面介绍了 Metaverse 的发展现状和技术框架，并探讨了 Metaverse 的社交性和超时空特性，以及 Metaverse 的第一应用领域和可能面临的一些问题和挑战。

元宇宙调研：现状、技术、应用与挑战

A Survey on Metaverse: the State-of-the-art, Technologies, Applications,  and Challenges

One of the main goals of 5G networks is to support the technological and
business needs of various industries (the so-called verticals), which wish to
offer to their customers a wide range of services characterized by diverse
performance requirements. In this context, a critical challenge lies in mapping
in an automated manner the requirements of verticals into decisions concerning
the network infrastructure, including VNF placement, resource assignment, and
traffic routing. In this paper, we seek to make such decisions jointly,
accounting for their mutual interaction, and efficiently. To this end, we
formulate a queuing-based model and use it at the network orchestrator to
optimally match the vertical's requirements to the available system resources.
We then propose a fast and efficient solution strategy, called MaxZ, which
allows us to reduce the solution complexity. Our performance evaluation,
carried out accounting for multiple scenarios representative of real-world
services, shows that MaxZ performs substantially better than state-of-the-art
alternatives and consistently close to the optimum.

本文针对 5G 网络中面向垂直行业的服务需求挑战，提出了一个基于排队模型和名为 MaxZ 的快速高效解决策略的决策方法，并在真实场景下的评估中表现明显优于现有方案并接近最优解。