LG Uplus Demonstrates AI-Based Network Automation Standard Technology

LG Uplus employees are reviewing the results of verifying the network slice quality assurance function using NWDAF.

[Asia Economy Reporter Lim Hye-sun] LG Uplus announced on the 13th that it has demonstrated fault detection and automatic response technology through the 'Network Data Analytics Function (NWDAF),' an AI-based network automation equipment standardized by the International Mobile Telecommunications Standardization Organization (3GPP). Using this function, faults can be predicted and resolved before users experience a decline in service quality.

NWDAF is next-generation network equipment defined as a standard technology by 3GPP, the international standardization organization for mobile communications. It collects various information generated during network operation to create AI models and controls the network in real time based on these models.

NWDAF can be utilized for network slice quality assurance technology. Network slicing is a technology that provides multiple logical networks with different quality conditions through a single physical network.

Telecommunication companies can also use the information collected by NWDAF equipment for quality assurance to establish new business models. Additionally, it is expected to help move away from the hardware-centric, manual operation methods of specific equipment suppliers through AI-based software-centric operation methods.

Meanwhile, AI-based network automation technology is also being discussed as a key core technology for 6G. Previously, LG Uplus has been conducting national projects such as the development of distributed cooperative AI-based network automation technology and research on 6G intelligent core development, involving Ewha Womans University, ETRI, and POSTECH, to proactively secure AI-based network automation technology.

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