LG Uplus has verified a technology for predicting network failures using artificial intelligence (AI).
LG Uplus revealed on the 23rd that it demonstrated its own AI and machine learning (AI/ML) based network failure prediction technology in collaboration with the telecommunications equipment manufacturer Ericsson. This technology is considered a core part of the "Network Data Analytics Function" (NWDAF). NWDAF is a device that analyzes data on the network and predicts failures, autonomously taking necessary actions to aid network automation. It is also a standard technology equipment of the International Telecommunication Union’s 3rd Generation Partnership Project (3GPP).
NWDAF can be utilized in verifying the quality of network slicing, a key technology in next-generation communication. Network slicing refers to the approach of building multiple independent virtual networks within a single network. When multiple users simply share a single network, a specific user generating excessive traffic can affect others. By utilizing network slicing, it is possible to ensure service quality even in situations of traffic congestion.
LG Uplus conducted this technology demonstration assuming a scenario of "base station traffic congestion" in collaboration with Ericsson. Through NWDAF, real-time recognition and prediction of overload by network slice were tested, determining necessary actions. The company noted, "We have confirmed the possibility of an automated operation solution where the network can operate without the intervention of 'human operators' when combined with autonomous measures by AI."
LG Uplus is also conducting projects related to AI-based network operation automation, a core of next-generation communication, with participation from Ewha Womans University, the Electronics and Telecommunications Research Institute (ETRI), and Pohang University of Science and Technology, including ▲ development of distributed cooperative AI-based network automation technology and ▲ research on the development of intelligent core for 6G.
Lee Sang-heon, head of NW advanced development at LG Uplus, said, "Through this research, we were able to confirm operating automation technology that recognizes and addresses customer inconveniences in advance, and we will continue research to apply AI technology that creates customer value to our network infrastructure."
Hong Seok-won, senior vice president of Ericsson's CSS technology division, stated, "Based on 3GPP standards, we will contribute to the enhancement of the 5G network and improvement of customer experience through the network quality analysis, prediction, and insight provision technology of NWDAF, which is essential for network operation automation."