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.