Mobile base stations are affected by different wireless environments depending on their geographical location and surrounding facilities. For the same reason, there can be significant differences in the quality of 5G mobile communication services in different areas using the same standard equipment.

Accordingly, SKT utilized deep learning, which analyzes and learns the correlation between statistical data accumulated in existing wireless networks and AI operating parameters, to predict various wireless environments and service characteristics and successfully automatically derive optimal parameters for improving perceived quality.

Samsung Electronics’ ‘Network Parameter Optimization AI Model’ used in this demonstration improves the efficiency of resources invested in optimizing the wireless network environment and performance, and enables optimal management of mobile communication networks extensively organized in cluster units.

The two companies are conducting additional learning and verification by diversifying the parameters applied to the optimized AI model and expanding the application to subways where traffic patterns change frequently.

SKT is pursuing advancements in the method of improving quality by automatically adjusting the output of base station radio waves or resetting the range of radio retransmission allowance when radio signals are weak or data transmission errors occur due to interference.

In addition, we plan to continuously improve the perfection of the technology by expanding the scope of targets that can be optimized with AI, such as parameters related to future beamforming*, and developing real-time application functions.

* Beamforming: A technology that focuses the signal received through the antenna toward a specific receiving device to transmit and receive the signal strongly.

SKT is expanding the application of AI technology to various areas of the telecommunications network, including ‘Telco Edge AI’, network power saving, spam blocking, and operation automation, including this base station quality improvement. In particular, AI-based network power saving technology was recently selected as an excellent technology at the world-renowned ‘Network X Award 2024’.

Ryu Tak-ki, head of SK Telecom’s infrastructure technology division, said, “This is a meaningful achievement that has confirmed that the potential performance of individual base stations can be maximized by incorporating AI,” and emphasized, “We will accelerate the evolution into an AI-Native Network that provides differentiated customer experiences through the convergence of telecommunications and AI technologies.”

“AI is a key technology for innovation in various industrial fields, and it is also playing a decisive role in the evolution to next-generation networks,” said Choi Sung-hyun, head of the advanced development team at Samsung Electronics’ network business division. “Samsung Electronics will continue to take the lead in developing intelligent and automated technologies for AI-based next-generation networks.”