KT Strengthens 5G Quality with AI Technology

[Asia Economy Reporter Koo Chae-eun] KT is strengthening 5G quality by applying artificial intelligence (AI) technology to 5G network optimization and control areas.

On the 9th, KT announced that it developed ‘5G AIKON,’ which applies AI technology to optimize 5G base stations, and enhanced 5G quality by automatically optimizing base stations based on big data. The base station optimization through ‘5G AIKON’ consists of a real-time automatic adjustment process based on learning data and deriving the optimal result through this process.

First, environmental data such as coverage around the base station, wireless frequency quality, and building height, as well as antenna tilt and height data, are learned to extract the optimal base station setting model. The extracted setting values are applied remotely, and through automatic fine iterative adjustments reflecting real-time results, the optimal result value can be automatically derived within about 2 minutes.

KT expects that since this series of processes can be applied and results confirmed remotely without engineers dispatched to the site, fast and efficient quality optimization can be carried out even in unexpected environmental changes and event situations. KT applied ‘5G AIKON’ at the Seoul Bosingak Bell-Ringing Ceremony event at the beginning of this year, achieving perfect 5G communication rates despite the large crowds around the event venue.

KT’s operating ‘5G AI Control System’ digitizes KT’s unique network operation and control know-how and creates AI fault prediction models through deep learning based on big data such as signals, traffic alarms, and logs collected from network equipment. Jiyong Jang, Executive Director of KT Network Operation Headquarters, said, “KT aims to provide the highest quality service to customers by integrating AI technology into the 5G network along with network innovation,” and added, “We will continue to introduce differentiated technological innovations unique to KT by applying AI and other new technologies to various network areas.”