Last year, China Telecom and China Unicom announced an agreement to jointly build and manage a 5G radio access network (RAN) in China. Other communications service providers (CSPs) around the world are following suit to boost efficiencies and speed of deployment.
This Catalyst will address some of the key challenges relating to the planning, construction, maintenance and operation of shared 5G network infrastructure.
The Catalyst deploys three digital twins –customer, network and spatial. They work both individually and together via a knowledge graph on a big data platform. The digital twin is implemented as a container-based distributed object with a cloud-edge collaboration mechanism.
Dynamic perception capabilities track real-time changes in the shared network infrastructure while artificial intelligence (AI) simulates and predicts future events.
The project will show how the insights from these digital twins will support 5G base station location planning for cross-operator networks; pinpoint potential performance bottlenecks through predictive analysis; and speed the resolution of network issues that can contribute to poor customer experience – even when network and customer data belongs to different operators.
The team will also show how this multi-operator network and customer data be used to improve customer experience management in shared 5G networks, with effective privacy safeguards in place.