Abstract: A wireless communication network serves User Equipment (UEs) over a wireless network slice. A core user-plane in the slice exchanges user data with the UEs over a Radio Access Network (RAN). The core control-plane determines when the slice has a concentration of UEs that exceeds a threshold in a geographic area. When the slice has the UE concentration that exceeds the threshold in the geographic area, the core control-plane signals an edge user-plane to serve the UEs that use the wireless network slice in the geographic area. The edge user-plane exchanges additional user data over the RAN with the UEs that use the wireless network slice in the geographic area. The core control-plane may determine when the concentration of UEs moves toward another geographic area and proactively launch another edge user-plane to serve the UEs that will soon need the slice in the other geographic area.

Abstract: A wireless communication network serves User Equipment (UE) responsive to an Artificial Intelligence (AI) network. The UE determines Quality-of-Service (QoS) levels for a wireless data service at geographic locations. The UE transfers the QoS levels for the wireless data service at the geographic locations to a network core. The network core transfers the QoS levels for the wireless data service at the geographic locations for the UE to the AI network. The network core receives a future QoS level, future geographic location, and future time for the wireless data service for the UE from the AI network. The network core signals a network control-plane to deliver the wireless data service to the UE at the future geographic location and the future time using the future QoS level. The UE receives the wireless data service at the future geographic location and the future time using the future QoS level.

Abstract: A wireless communication network serves User Equipment (UE) responsive to an Artificial Intelligence (AI) network. The UE transfers UE data that indicates user applications and their current status to a distributed ledger. The distributed ledger also receives past quality levels and locations from the wireless communication network. The distributed ledger stores the UE data, quality levels, and locations in a blockchain format that is readable by the AI network. The distributed ledger receives a future quality level and location and time for the UE from the AI network. The distributed ledger stores the future quality level and location and time for the UE in the blockchain format. The distributed ledger transfers the future quality level and location and time for the UE to an Exposure Function (EF). The EF signals a network control-plane to deliver the wireless data service to the UE at the future location and time and quality level.