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<version>v8.0</version>
<date>2026-11-05 19:07:14</date>
<action>I</action>
<registdate>2026-11-05 17:25:57</registdate>
<modifydate>2026-11-05 19:06:59</modifydate>
<publishdate>2026-11-05 19:07:11</publishdate>
<embargo>N</embargo>
<newsid>834883</newsid>
<orgid>834738</orgid>
<language>EN</language>
<category1>11</category1>
<category2>1104</category2>
<category1_name>IT/과학</category1_name>
<category2_name>통신/모바일</category2_name>
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<newsSubject><![CDATA[KT and Samsung Electronics Cut High-Speed Rail Network Disruptions by 29% Using AI]]></newsSubject>
<newsSummary><![CDATA[]]></newsSummary>
<newsTag><![CDATA[Samsung Electronics,KT,AI]]></newsTag>
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<news_prolog><![CDATA[(Seoul=NSP NEWS) =]]></news_prolog>
<news1><![CDATA[KT has developed an AI-based technology with Samsung Electronics to improve communication quality on high-speed railways, strengthening its network capabilities for high-mobility environments.

On high-speed trains traveling at more than 250 kilometers per hour, base station signals change rapidly, requiring frequent handovers between connected cell sites. If a handover is delayed, data transmission can slow down or call quality may deteriorate.

The two companies used AI to analyze signal strength data and connection failure records collected along high-speed rail routes. The analysis identified sections where communication quality repeatedly declined, as well as recurring connection patterns.

The results showed that delayed handovers to the next base station were a major cause of service interruptions inside train cabins.

In a field test conducted along sections of the Gyeongbu Line between Godeok-myeon in Pyeongtaek and Maesong-myeon in Hwaseong, the rate of communication disruptions decreased by approximately 29% after the technology was applied.

KT plans to review the practical deployment of the technology on high-speed railways. The two companies will also continue their cooperation in the field of AI-based radio access networks, or AI-RAN, and jointly develop and validate technologies aimed at further improving network quality.]]></news1>
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<news_epilog_byline><![CDATA[By Eun-young Huh(eunyoung114@nspna.com) and Bok-hyun Lee(bhlee2016@nspna.com)]]></news_epilog_byline>
<news_epilog><![CDATA[ⓒNSP News Agency·NSP TV. All rights reserved.]]></news_epilog>
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<location><![CDATA[Seoul]]></location>
<teamID>110</teamID>
<teamName><![CDATA[국제부]]></teamName>
<writerID>eunyoung114</writerID>
<writerName><![CDATA[Eun-young Huh]]></writerName>
<writerTitle><![CDATA[Reporter]]></writerTitle>
<writerEmail><![CDATA[eunyoung114@nspna.com]]></writerEmail>
<writerID2>bhlee2016</writerID2>
<writerName2><![CDATA[Bok-hyun Lee]]></writerName2>
<writerTitle2><![CDATA[Reporter]]></writerTitle2>
<writerEmail2><![CDATA[bhlee2016@nspna.com]]></writerEmail2>
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</nspnews>
