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    79.   28
    Track > Session : 6G > Standardization for 6G
    ¹ßÇ¥Á¦¸ñ : 6G ÁÖÆļö Ç¥ÁØÈ­ ¹× R&D ÇöȲ
    ¹ßÇ¥ÀÚ : ±èµ¿¸í (ÇÁ·Î/»ï¼º¸®¼­Ä¡)
    °­¿¬¿ä¾à : 6G ½Ã½ºÅÛÀº Àΰ£°ú ±â°è ¸ðµÎ ÁÖ¿ä »ç¿ëÀÚ°¡ µÇ´Â ȯ°æ¿¡¼­ Truly immersive extended reality, High-fidelity mobile hologram, Digital replica µî ´Ù¾çÇÑ ¼­ºñ½ºµéÀ» Á¦°øÇÒ °ÍÀ¸·Î ±â´ëµÇ¸ç, ÀÌ·¯ÇÑ 6G ¼­ºñ½ºµéÀº Real-time data processing, Hyper-fast data rate, Extremely low latency µîÀÇ ¿ä±¸ »çÇ×À» °¡Áø´Ù. ...more
    Track > Session : 6G > Standardization for 6G
    ¹ßÇ¥Á¦¸ñ : GSMA Open Gateway ±â¹Ý ¹Ì·¡ ¼­ºñ½º ¹æÇâ
    ¹ßÇ¥ÀÚ : À̱âÈ£ (ÆÀÀå/KT)
    °­¿¬¿ä¾à : ¹Ì·¡ 6G NW´Â ´Ù¾çÇÑ Vertical ¼­ºñ½º ¼ö¿ëÀ¸·Î ÀÎÇÏ¿© ¼­ºñ½º¸¶´Ù ´Ù¸¥ ´Ù¾çÇÑ ¿ä±¸»çÇ×À» µ¿ÀûÀ¸·Î Áö¿ø°¡´ÉÇÑ Programmable ÇÑ NW¸¦ ¿ä±¸ÇÒ °ÍÀÌ´Ù. À̸¦ À§ÇØ 6G NW´Â °³¹æÇü API ±â¹Ý NW ÀÚ¿øÀ» ExposureÇÏ°Ô µÇ°í, °í°´ ¹× °³¹ßÀÚ´Â À̸¦ ÀÌ¿ëÇÏ¿© ¸ÂÃãÇü ¼­ºñ½º¸¦ Á¦°ø¹ÞÀ» ¼ö ÀÖ°Ô µÉ °ÍÀÌ´Ù. º» °­¿¬¿¡¼­´Â À̸¦ ...more
    Track > Session : 6G > Emerging Technologies for 6G
    ¹ßÇ¥Á¦¸ñ : 6G AI ¿¬±¸ ¹× ÁøÈ­ Àü¸Á
    ¹ßÇ¥ÀÚ : Àå¹Î (ÆÄÆ®Àå/»ï¼ºÀüÀÚ »ï¼º¸®¼­Ä¡)
    °­¿¬¿ä¾à : ÀÌ °­¿¬¿¡¼­´Â Â÷¼¼´ë Åë½Å ±â¼úÀÎ 6G°¡ ÀΰøÁö´É°ú ¾î¶»°Ô ÅëÇÕµÇ¾î »çȸ, »ê¾÷, ±×¸®°í ÇâÈÄ ±â¼ú ¹ßÀü¿¡ ±â¿©ÇÒ ¼ö ÀÖÀ»Áö »ìÆ캾´Ï´Ù. ÀÌ °­¿¬Àº 6G ¹°¸®°èÃþ ±â¼ú, AI¿ÍÀÇ °áÇÕ °¡´É¼º, ±×¸®°í ¹Ì·¡ ±â¼ú Çõ½ÅÀ» À̲ø ÇÙ½É ¿ä¼Ò¿¡ ´ëÇؼ­ ¼Ò°³ÇÕ´Ï´Ù. µµÇÑ, ¿¬±¸ µ¿Çâ, ÀáÀçÀûÀÎ µµÀü °úÁ¦ ¹× ±âȸ¿¡ ´ëÇØ ³íÀÇÇϸç, ...more
    Track > Session : 6G > Emerging Technologies for 6G
    ¹ßÇ¥Á¦¸ñ : 6G¸¦ À§ÇÑ Cross-domain Çù·ÂÇü AI/ML ±â¼ú µ¿Çâ ¹× Àü¸Á
    ¹ßÇ¥ÀÚ : ¼ºÁöÈÆ (¼±ÀÓ/ETRI)
    °­¿¬¿ä¾à : º» ¹ßÇ¥¿¡¼­´Â À̵¿Åë½Å½Ã½ºÅÛÀÇ ½Ã½ºÅÛ ±¸Á¶¿Í ÁÖ¿ä ±â´ÉÀ» Á¤ÀÇÇÏ´Â 3GPP SA2¿¡¼­ ÃÖ±Ù ÁÖ¸ñÇÏ´Â AI/ML ±â¼ú Áß ÇϳªÀÎ Cross-domain Çù·ÂÇü AI/ML ±â¼úÀÇ µ¿ÇâÀ» »ìÆ캸°í, ÇâÈÄ ¹ßÀü ¹æÇâ¿¡ ´ëÇØ ÇÔ²² °í¹ÎÇغ¸°íÀÚ ÇÕ´Ï´Ù. À̸¦ Åä´ë·Î Cross-domain Çù·ÂÇü AI/ML ±â¼úÀ» ºñ·ÔÇÑ 6G À̵¿Åë½Å½Ã½ºÅÛÀ» À§ÇÑ AI/ML ±â¼ú ...more
    Track > Session : 6G > Emerging Technologies for 6G
    ¹ßÇ¥Á¦¸ñ : IRS ±â¼ú ÇöȲ ¹× ¹ßÀü ¹æÇâ
    ¹ßÇ¥ÀÚ : ÃÖ°è¿ø (±³¼ö/¼º±Õ°ü´ë)
    °­¿¬¿ä¾à : ÃÖ±Ù IRS(Intelligent Reflecting Surface)¸¦ ¹«¼±Åë½Å¿¡ È°¿ëÇÏ´Â ¿¬±¸°¡ È°¹ßÈ÷ ÁøÇàµÇ°í ÀÖ´Ù. ¹Ð¸®¹ÌÅÍÆÄ ¹× ¼­ºêÅ׶óÇ츣Ã÷ÆÄ ´ë¿ª µî ÃÊ°íÁÖÆÄ ´ë¿ªÀº Æ÷È­µÈ ¸¶ÀÌÅ©·ÎÆÄ ´ë¿ªÀ» ³Ñ¾î Ãʱ¤´ë¿ª ½ºÆåÆ®·³À» Á¦°øÇÒ ¼ö ÀÖ´Â ÀáÀç·ÂÀÌ ÀÖÀ¸³ª ³ôÀº °æ·Î ¼Õ½Ç°ú À½¿µ Áö¿ª µîÀÇ ¹®Á¦·Î »ó¿ëÈ­°¡ Áö¿¬µÇ°í ÀÖ¾î À̸¦ ÇØ°á ...more
    Track > Session : 6G > Ecosystem and Vertical for 6G
    ¹ßÇ¥Á¦¸ñ : Digital Twin for 6G Intelligent Network
    ¹ßÇ¥ÀÚ : Àå¼­¿ì (¼ö¼®/»ï¼º¸®¼­Ä¡)
    °­¿¬¿ä¾à : ¹Ì·¡ÀÇ ³×Æ®¿öÅ©, 6G´Â Åë½Å¼º´ÉÀÇ Áøº¸»Ó¸¸ ¾Æ´Ï¶ó, °Å´ëÇÑ ½Ã½ºÅÛÀ¸·Î¼­ÀÇ ÀÚµ¿È­¿Í Áö´ÉÈ­°¡ ÇʼöÀûÀÌ´Ù. »ê¾÷°è¿¡¼­´Â ³×Æ®¿öÅ©ÀÇ ¼³Ä¡, ¿î¿ë, ÃÖÀûÈ­, ±×¸®°í ³×Æ®¿öÅ© À̽´ °¨Áö, ºÐ¼®, ´ëÀÀ µî ´Ù¾çÇÑ ºÐ¾ß¿¡ ¼ÒÇÁÆ®¿þ¾îÈ­µÈ ÀÚµ¿È­¿Í AI¸¦ È°¿ëÇÑ Áö´ÉÈ­¿¡ Å« °ü½ÉÀ» ±â¿ïÀÌ¸ç ¿¬±¸°³¹ßÀ» ÁøÇàÇÏ°í ÀÖ´Ù. ÀÚµ¿È­¿Í ...more
    Track > Session : 6G > Ecosystem and Vertical for 6G
    ¹ßÇ¥Á¦¸ñ : À§¼ºÅë½Å for 6G
    ¹ßÇ¥ÀÚ : À¯ÁØ±Ô (½ÇÀå/ETRI)
    °­¿¬¿ä¾à : ÇöÀç ½ºÅ¸¸µÅ©¿Í ¿øÀ¥Àº »ó¿ëÀÇ ±Û·Î¹ú Àú±Ëµµ À§¼ºÅë½Å¸ÁÀ» ±¸ÃàÇÏ¿© º»°ÝÀûÀÎ ¼­ºñ½º¸¦ Á¦°ø ÁßÀÌ´Ù. 3GPP¿¡¼­´Â 2017³âºÎÅÍ 5G NR ±â¼úÀÇ À§¼ºÅë½Å Àû¿ëÀ» À§ÇÑ Ç¥ÁØÈ­°¡ ½ÃÀÛµÇ¾î ¿©·¯°¡Áö ±â¼úÀû ¹®Á¦¸¦ ÇØ°áÇÏ¿´´Ù. ÀÌ¿Í °°ÀÌ 6G¿¡¼­ Àú±Ëµµ À§¼ºÅë½Å ±â¼úÀÌ ÇÑ ÃàÀ» ´ã´çÇÒ °¡´É¼ºÀÌ Çö½ÇÈ­µÇ°í ÀÖ´Â »óȲ¿¡¼­ ÇâÈÄ ...more
    Track > Session : 6G > Ecosystem and Vertical for 6G
    ¹ßÇ¥Á¦¸ñ : UAM »ýÅ°è¿Í ±³Åë°ü¸® Ç÷§Æû
    ¹ßÇ¥ÀÚ : ·ùÇü»ó (ÆÀÀå/LGÀ¯Ç÷¯½º)
    °­¿¬¿ä¾à : UAM »ýÅ°è´Â ±âü, ¿îÇ×»ç, ±³Åë°ü¸®»ç¾÷ÀÚ, ¹öƼÆ÷Æ®»ç¾÷ÀÚ·Î ±¸¼ºµË´Ï´Ù. LGÀ¯Ç÷¯½º´Â »ó°øÅë½Å¸ÁÀ» ±â¹ÝÀ¸·Î ȸ¶ûÀ» °ü¸®ÇÏ´Â ±³Åë°ü¸®»ç¾÷ÀÚ¸¦ ½Å»ç¾÷ ¿µ¿ªÀ¸·Î Á¤ÀÇÇÏ°í ÃßÁø Áß¿¡ ÀÖÀ¸¸ç, °íÈï Áö¿ª¿¡¼­ »ó°øÅë½Å¸Á ±¸Ãà ¹× Ç°Áú È®º¸¸¦ À§ÇÑ »çÀü ½ÇÁõÀ» ¿Ï·áÇÏ¿´°í, AI ±â¹ÝÀ¸·Î Â÷º°È­ÇÑ ±³Åë°ü¸® Ç÷§ÆûÀ¸·Î ¾È...more
    Track > Session : AI-I (Gen AI, Hyperscale AI) > Gen AI Landscape
    ¹ßÇ¥Á¦¸ñ : »ê¾÷ºÐ¾ßº° ÃÊ°Å´ë AIÈ°¿ë µ¿Çâ ¹× »ç·Ê
    ¹ßÇ¥ÀÚ : ¹Ú¿ë¹Î (¸®´õ/LG AI¿¬±¸¿ø)
    °­¿¬¿ä¾à : ¡°Enterprise Ready Generative AI"´Â ´ë±Ô¸ð Á¶Á÷ÀÇ ±ÔÁ¤ Áؼö, ¾÷Á¾º° °ËÁõ »ç·Ê, °­·ÂÇÑ º¸¾È Á¶Ä¡, Æ÷°ýÀûÀÎ À§Çè Æò°¡¸¦ ±¸ÇöÇÑ »ý¼ºÇü AI¸¦ ÀǹÌÇÕ´Ï´Ù. ¡°Enterprise Ready Generative AI¡± ´Â ´Ü¼øÇÑ ¿¬±¸ ÇÁ·ÎÁ§Æ®¸¦ ³Ñ¾î ´Ù¾çÇÑ »ê¾÷°ú ƯÁ¤ ±â´É ¿î¿µ Á¶Á÷¿¡ °ÉÃÄ ½ÇÁ¦ ±â´É°ú °¡Ä¡¸¦ ÀÔÁõÇØ¾ß ÇÕ´Ï´Ù. ±×¸®°í, ...more
    Track > Session : AI-I (Gen AI, Hyperscale AI) > Gen AI Fundamentals
    ¹ßÇ¥Á¦¸ñ : How to Tame Your Large Generative Models?
    ¹ßÇ¥ÀÚ : À¯ÀçÁØ (±³¼ö/UNIST)
    °­¿¬¿ä¾à : We find ourselves in an era dominated by large generative models, which, while demonstrating remarkable performance, demand vast datasets and substantial computational resources. However, these resources remain inaccessible to the majority of researchers and all but a few well-resourced companies. A...more
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