While the industry is exploring the key drivers and future needs of 6G cellular communication systems, 6G research is in full swing, globally supported by large programs. As a result, many new technologies are being proposed. This could be noticed in various fora and publications that convey new visions for the verticals that 6G would serve and the key elements that could make this happen. New radio and optical wireless access technologies for 3D coverage, new waveforms, artificial intelligence (AI) and machine learning (ML), edge–cloud supported by AI, joint communication and sensing, optical fiber networks, nonterrestrial network (NTN) integration, new network architectures, trusted computing platforms, quantum communications, and digital twin provisioning systems are some of many technology enablers for 6G. However, 6G will support many more vertical industries. This requires defining a new model for network infrastructures that builds on 5G architectures and designs, especially private networks and open networking. This means that operating minor networks independently at their local domains and allowing separated domains to handle services without centralized management may become more mainstream. AI and ML will become important enablers for future network management and control. This segregation within the mobile network architecture allows AI-driven components to maximally utilize resources at their local domain. In addition, minor domains would be able to decompose service requests to reduce operational cost incurred by the network. This network modeling takes advantage of fully automated elements and services that could be onboarded upon user demand for more efficient networks that fully utilize resources in a cost-efficient manner. Therefore, operators and vendors need to work closely with network planning engineers and academia to bring such designs into reality.

中文翻译：

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6G Fabric 为复杂的服务交付编译微域 [来自客座编辑]

在业界探索 6G 蜂窝通信系统的关键驱动因素和未来需求的同时，6G 研究也在全球范围内如火如荼地进行，并得到大型项目的支持。因此，许多新技术被提出。这可以在各种论坛和出版物中注意到，这些论坛和出版物传达了 6G 将服务的垂直领域的新愿景以及实现这一目标的关键要素。用于 3D 覆盖的新无线电和光学无线接入技术、新波形、人工智能 (AI) 和机器学习 (ML)、AI 支持的边缘云、联合通信和传感、光纤网络、非地面网络 (NTN) 集成、新网络架构、可信计算平台、量子通信和数字孪生配置系统是 6G 的众多技术推动因素中的一部分。然而，6G将支持更多的垂直行业。这需要为基于 5G 架构和设计的网络基础设施定义新模型，尤其是专用网络和开放网络。这意味着在其本地域独立运营小型网络并允许分离的域处理服务而无需集中管理可能会变得更加主流。人工智能和机器学习将成为未来网络管控的重要使能者。移动网络架构中的这种隔离允许 AI 驱动的组件最大限度地利用其本地域的资源。此外，次要域将能够分解服务请求以降低网络产生的运营成本。这种网络建模利用了完全自动化的元素和服务，这些元素和服务可以根据用户的需求加入，以获得更高效的网络，以经济高效的方式充分利用资源。因此，运营商和供应商需要与网络规划工程师和学术界密切合作，将这样的设计变为现实。