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Local 5G System
Local 5G Systems(private 5G system in Japan) and its applications
As the launch of 5G service approaches, the needs to deploy 5G technologies for private networks as well are also growing.It is expected to be used in a variety of applications, such as covering the rural areas which are not covered by public 5G networks, and operating the network separately from public networks for secure applications.
In our laboratory, we have implemented smart electronic traffic roadside mirrors as an example use case of local 5G, contributing to realize safety and security technology for public transportation. We also are studying the methods and frameworks for cooperation between public 5G networks and local 5G systems which leads to the improvement of both user experiences and spectrum usage efficiency.
Cooperation between local 5G and public networks
For supporting multiple bands, e.g. sub-6 and millimeter wave bands, 5G architecture introduces control/user(C/U)-plane separation. By using this technology, user equipment (UE) can communicate in ultra-high speed within a small area utilizing the millimeter wave band, and also receive control signals via a stable connection over a wide coverage area in the sub-6 band simultaneously.
We extend this concept for the multi-operators' use case, e.g. using local 5G access in the millimeter wave band for the user plane and public networks in the sub-6 band for the control plane. It can improve user experience by providing stable 5G service by supporting public 5G networks.
For enabling the collaboration between local 5G and public networks, we propose a framework to exchange control information and authentication among these networks. We are also studying spectrum sharing methods for both networks.
Smart electronic traffic roadside mirrors
Traffic roadside mirrors are located at curves and intersections with poor visibility, making it easier to find cars and pedestrians in such spots.
Smart electronic traffic roadside mirrors additionally equip the existing mirroes with sensors and cameras, and information from these sensors and cameras is sent to the edge server via local 5G. Information from multiple sources is aggregated to estimate the location information of cars and pedestrians, and these estimated locations are indicated on a dynamic map. By distributing this dynamic map to users, it may prevent traffic accidents, and contribute to realize safer and more secure public transportation.
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