US20260129481
2026-05-07
Electricity
H04W24/04
The patent application introduces a system that leverages machine learning (ML) to enhance user interaction workflows in cellular networks. It focuses on diagnosing and resolving service issues by analyzing network performance data. The system retrieves key performance indicator (KPI) data from both network cells and user equipment (UE) to identify the root cause of service disruptions. An ML model processes this data to infer the category of the service issue, which is then communicated to a service agent for resolution before engaging with the affected customer.
The invention pertains to the application of artificial intelligence and machine learning in diagnosing service issues within next-generation cellular networks. It aims to streamline customer care processes by automating the identification of service issues, thereby reducing the complexity and resource intensity traditionally associated with resolving network-related problems.
Historically, customer care in cellular networks has been a resource-heavy operation, often requiring direct interaction between care agents and users to resolve service issues. The complexity of correlating network events with user experiences has limited the effectiveness of existing solutions. This patent addresses these limitations by introducing an AI/ML-driven approach to service issue diagnosis and resolution.
The system receives service issue reports from users and retrieves relevant network performance data. It identifies anomalies and service degradation using this data, which are then analyzed through an AI/ML process to determine the issue category. The identified category is reported to a care agent before the user is connected, allowing for a more efficient resolution process. By automating this workflow, the system enhances the overall efficiency and effectiveness of customer care operations.
The architecture comprises various network elements facilitating multiple forms of access such as broadband, wireless, voice, and media. The system integrates with existing network infrastructure, including radio access networks (RAN) and core networks, to provide seamless connectivity and service delivery. It supports a wide range of user equipment, from mobile phones to IoT devices, ensuring broad applicability across different network environments.