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Á¦°³Á¤ÀÏ 2025-10-22 ÃÑ ÆäÀÌÁö 21
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¿µ¹® Ç¥Áظí Large Language Model (LLM) Agent Framework for Decentralized Network Management Automation (Technical Report)
ÇÑ±Û ³»¿ë¿ä¾à ÀÌ ±â¼úº¸°í¼­´Â 3GPP Ç¥ÁØ¿¡¼­ Á¦½ÃµÈ AI/ML ±Ô°ÝÀ» ±â¹ÝÀ¸·Î ´ÙÁß ¿¡ÀÌÀüÆ® LLM ±â¹ýÀ» ±¸ÇöÇÏ´Â ÀýÂ÷¸¦ »ìÆìº¸°í, ÀÌ¿¡ ÇÊ¿äÇÑ ¹«¼± ÀåÄ¡ °£ Çù·ÂÅë½Å ÀÎÅÍÆäÀ̽º °³³äÀ» ´Ù·é´Ù. ¶ÇÇÑ, ´ÙÁß¼¿ ½Ã½ºÅÛ ¹«¼±ÀÚ¿ø °ü¸® ½Ç½Ã¿¹¸¦ ÅëÇØ Á¦¾ÈÇÏ´Â ÇÁ·¹ÀÓ¿öÅ©ÀÇ ¼º´É°ú ±¸Çö ¹æ¾ÈÀ» Á¦½ÃÇÑ´Ù.
¿µ¹® ³»¿ë¿ä¾à This report examines the procedure for implementing the multi-agent LLM technique based on the AI/ML specifications presented in 3GPP standards and addresses the concept of cooperative communication interfaces between wireless devices required for this implementation. Furthermore, through a practical example of radio resource management in a multi-cell system, we present the performance and implementation methods of the proposed framework.
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°ü·ÃÆÄÀÏ    TTAR-06.0307.pdf TTAR-06.0307.pdf
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