公开(公告)号：US20230032596A1

公开(公告)日：2023-02-02

申请号：US17876772

申请日：2022-07-29

Applicant: DISH Wireless L.L.C.

Inventor： Brian Mengwasser ,  Julian Bishop

IPC: H04L43/55

Abstract: Various arrangements for providing real-time simulated cellular network feedback are detailed herein. A network performance simulator can analyze a production hybrid cellular network. Based on the analysis, a cloud-based cellular network test environment can be constructed. Cellular network simulations can then be performed using the constructed cloud-based cellular network test environment. At some time in the future, a service request from a client may be received. The service request is analyzed using the results of the cellular network simulations to determine feedback of how the production cellular network is expected to perform. The performance feedback can be provided to the cellular network client.

公开(公告)号：US20240244417A1

公开(公告)日：2024-07-18

申请号：US18416445

申请日：2024-01-18

Applicant: DISH Wireless L.L.C.

Inventor： Jeffrey Wendeborn ,  Pavan Nori ,  Julian Bishop

IPC: H04W8/20 ,  H04W8/04 ,  H04W24/02

CPC classification number: H04W8/20 ,  H04W8/04 ,  H04W24/02

Abstract: Intelligent initial provisioning for UE with one or more than one subscriber identity modules (SIMs) is disclosed. Intelligent initial provisioning is the selection and provisioning of subscribers on a network from among multiple mobile network operator (MNO) networks using a respective SIM. In other words, intelligent initial provisioning pertains to selecting the home network of the UE. The intelligent initial provisioning may take into account criteria such as the home location of the UE, the capabilities of the UE, phone number eligibility, the average signal strength of the MNO networks in the area, the typical congestion on the MNO networks, the number or percentage of subscribers of the initial provisioning entity that are on the MNO networks, cost criteria, subscription criteria, MNO contract criteria, highest service quality, lowest voice and SMS service cost, etc. Forecasts of future traffic on the MNO networks may also factor into the intelligent initial provisioning.