Let’s also consider the autonomous driving use case. There are numerous cameras and sensors on the vehicle that can be considered target interfaces, but in this blog post we will focus on how 5G supports autonomous driving. For example, 5GAA is a consortium of auto manufacturers and telecom companies focused on developing end-to-end solutions for future mobility and transportation services, and as such it supports a number of use cases for vehicle-to-everything communication (V2X) and autonomous driving. Some example use cases defined by 5GAA include HD map sharing for AVs, automated valet parking, sensor sharing for Avs, and tele-operated driving. Thus, the 5G network and its infrastructure will play a major role in supporting the autonomous driving use cases defined by 5GAA.
Figure 5 gives a simplified overview of the 5G network ecosystem. On the left is the user equipment that in this case consists of connected and autonomous vehicles. These vehicles may connect to 5G base stations (gNodeB) where available, and as a fallback, connect to 4G base stations (eNodeB), as shown in the middle of the figure. Additionally, there is communication between 4G base stations and 5G base stations as well as communication between 5G base stations. The 5G base stations are also connected to a 5G core network, as shown on the right side of the figure. There is also various network communications within the 5G base stations, as well as within the 5G core network.