Research on Fault Handling of USIM Card Based on Big Data
As 4G and 5G networks become increasingly prevalent, the reliance of users on mobile network services intensifies. However, this brings forth challenges in maintaining network stability and reliability. This paper delves into the detection, analysis, and resolution of universal subscriber identity module (USIM) card issues within the realm of 4G and 5G networks, aiming to enhance the quality of network services and enrich the user experience. It specifically addresses the issue of performance degradation in USIM cards due to their high-frequency usage. Through this study, the paper underscores the significance of optimizing network parameters and introduces strategies for fault detection and resolution based on big data, which reduces the failure rate and extends the service life of USIM card. These strategies have proven effective in reducing customer complaints and bolstering network service quality.
万方数据
维普
