Research on the Application Technology of Digital Twin Technology in Mobile Communication
A fault detection system based on digital twin technology in mobile communication was designed to address the increasing number of mobile communication interconnection terminal users in China,which led to a high failure rate and difficulty in detection of communication networks.The digital twin technology was utilized to create a digital world for various application layers of mobile communication;by continuously monitoring real physical systems and using big data analysis and machine learning,faults that occur in the real world were predicted;the generative adversarial network algorithm was used to compute and detect mobile communication data transformed into digital twin technology,thereby improving the problem of continuous operation.In addition,the entire fault recognition module was improved through the long short-term memory(LSTM)network algorithm,which can intelligently store historical data and extract fault features of the entire communication network to improve the efficiency and accuracy of fault detection.The experimental results indicate that the data error rate of the system technical accounting is within an acceptable range,laying the foundation for other technical research.
digital twin(DT)technologygenerative adversarial network(GAN)algorithmlong short-term memory(LSTM)algorithmfault identificationfailure detection
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