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GenAI and knowledge driven 5G operations

URN C23.0.537

Topics 5G, AI (Artificial Intelligence), Autonomous networks

Finalist

Successfully applied to two provinces of China Unicom, improving O&M efficiency by over 10 times. Fault demarcation accuracy is over 95%.

Project companies

To achieve the level of network intelligence required of the 5G era, CSPs must use advanced AI to detect, diagnose and resolve network performance issues. This Catalyst aims to develop an intelligent cognitive decision-making system for 5G network operation, which will help to improve network performance, reduce operational costs, and enhance customer experience. The system will automatically collect and process network data, classify and analyze root causes through the pre-trained AI model, and automatically delimit and locate problems in combination with network resource database. Then, it will match the solution through the decision knowledge base, form the intention with the resource base, and send it to the network management system to identify the intention and perform operations on the network. After the implementation, the algorithm model and knowledge base will be self-optimized and self-learning according to the implementation results.