What complementary technologies are necessary to make 5G possible?
要使 5G 成为可能，还需要哪些补充技术？
The following technologies assist in meeting the new capacity and latency requirements of 5G:
5G transport: 5G use cases require a transport network that can handle not only a huge increase in traffic, but also the wide variety of network characteristics for each specific use case.
Automated operations: 5G significantly increases the number of connected end-user devices, nodes, and services within the network. The only practical way to manage the scale and complexity of future cloud and 5G networks is to automate operations, by building continuous knowledge through artificial intelligence (AI) and machine learning (ML) capabilities.
Network slicing: Through network slicing, multiple independent end-to-end logical networks can be run on a shared physical infrastructure with each slice capable of providing quality of service (QoS) for an individual service or application.
Telco cloud: An open telco cloud platform helps service providers avoid vendor lock-in and enables them to capitalize on a broad ecosystem of cloud-native functions to deliver new 5G applications and services.
Security: New attack surfaces arise with 5G, IoT, network slicing, and edge computing. A connected security approach is fully threat aware, taking a comprehensive view of the network and its external ecosystem, and dynamically adapting and enforcing security policies consistently throughout the network.
以下技术有助于满足 5G 的新容量和延迟要求：
5G 传输：5G 用例要求传输网络不仅可以处理大幅流量增长，而且可以应对每个特定用例的各种网络特性。
自动化运维：5G 大幅增加了网络中连接的最终用户设备、节点和服务的数量。管理未来云和 5G 网络的规模和复杂性的唯一实用方法是，通过人工智能 (AI) 和机器学习 (ML) 功能不断积累知识，从而实现运维自动化。
网络切片：通过网络切片，可以在共享的物理基础架构上运行多个独立的端到端逻辑网络，每个切片都能为个别服务或应用提供服务质量 (QoS)。
电信云：一个开放的电信云平台，有助于服务提供商避免供应商锁定，并帮助他们利用广泛的云原生功能生态系统提供新的 5G 应用和服务。
安全：5G、物联网、网络切片和边缘计算产生了新的攻击面。互联的安全方法具有全面的威胁感知能力，可以全面掌握网络及其外部生态系统，在全网内协调一致进行动态调整并实施安全策略。