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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Çѱ¹Á¤º¸Åë½ÅÇÐȸ ³í¹®Áö (Journal of the Korea Institute of Information and Communication Engineering)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Nakagami-m ÆäÀ̵ù ä³Î¿¡¼­ FSMC ¸ðµ¨¿¡ ÀÇÇÑ ¹«¼± Åë½Å½Ã½ºÅÛÀÇ ¼º´É ºÐ¼®
¿µ¹®Á¦¸ñ(English Title) Performance Analysis of Wireless Communication System with FSMC Model in Nakagami-m Fading Channel
ÀúÀÚ(Author) Á¶¿ë¹ü   ³ëÀ缺   Á¶¼ºÁØ   Yong-bum Choi   Jae-sung Roh   Sung-joon Cho  
¿ø¹®¼ö·Ïó(Citation) VOL 08 NO. 05 PP. 1010 ~ 1019 (2004. 08)
Çѱ۳»¿ë
(Korean Abstract)
º» ³í¹®¿¡¼­´Â Nakagami-m ÆäÀ̵ù ä³ÎÀ» Finite-State Markov Channel (FSMC)·Î ¸ðµ¨¸µÇÏ°í, ä³Î »óÅ º¯È­¿¡ µû¸¥ Åë½Å ½Ã½ºÅÛÀÇ ¼º´ÉÀ» ºÐ¼®ÇÏ¿´´Ù. °í·ÁÇÑ FSMC ¸ðµ¨¿¡¼­´Â ¼ö½Å ½ÅÈ£ÀÇ ½ÅÈ£ ´ë ÀâÀ½ Àü·Âºñ¸¦ À¯ÇÑ°³ÀÇ ±¸°£À¸·Î ³ª´² °¢°¢ÀÇ ±¸°£À» Markov üÀÎÀÇ »óÅ·Π´ëÀÀÇÑ´Ù. °¢ »óÅ´ ¹«±â¾ï ÀÌÁø ´ëĪ Åë½Å·Î·Î °¡Á¤ÇÏ°í, ÇÑ »óÅ¿¡¼­ ´Ù¸¥ »óÅ·ÎÀÇ ÃµÀÌ´Â Markov õÀ̸¦ µû¸¥´Ù°í °¡Á¤ÇÑ´Ù. ¼öÄ¡ Çؼ®À» ÅëÇØ °¢ »óÅ¿¡ À־ÀÇ Æò±Õ ½Éº¼ ¿ÀÀ², Á¤»ó »óÅ Ȯ·ü ±×¸®°í »óÅ õÀÌ È®·üÀ» ±¸ÇÏ¿© FSMC ¸ðµ¨À» ±¸¼ºÇÏ¿´°í, »óÅ õÀÌ Áö¼ö¸¦ º¯°æÇÔÀ¸·Î½á ¿©·¯ ÆäÀ̵ù ȯ°æÀ» FSMC ¸ðµ¨·Î ³ªÅ¸³¾ ¼ö ÀÖÀ½À» È®ÀÎÇÏ¿´´Ù. »óÅ õÀÌ Áö¼ö°¡ Ŭ °æ¿ìÀÎ ºü¸¥ ÆäÀ̵ù ä³Î¿¡¼­´Â ä³ÎÀÌ i.i.d. Ư¼ºÀ» ³ªÅ¸³»°Ô µÇ¸ç, »óÅ õÀÌ Áö¼ö°¡ ÀÛÀ» °æ¿ìÀÎ ´À¸° ÆäÀ̵ù ä³ÎÀº ÀÎÁ¢ÇÑ »óÅ·ÎÀÇ ÃµÀ̸¸ ¹ß»ýÇÏ´Â °£´ÜÇÑ FSMC ¸ðµ¨·Î Ç¥ÇöµÉ ¼ö ÀÖÀ½À» È®ÀÎÇÏ¿´´Ù. ¸¶Áö¸·À¸·Î Á¦¾ÈÇÑ FSMC ¸ðµ¨ÀÇ ÀÀ¿ë ¿¹·Î½á, ¿©·¯ ä³Î ȯ°æ¿¡¼­ ·£´ý ¿¡·¯ Á¤Á¤ ºÎÈ£ÀÇ ºÎȣȭ À̵æÀÇ Â÷À̸¦ ÄÄÇ»ÅÍ ½Ã¹Ä·¹À̼ÇÀ» ÅëÇØ ºñ±³, ºÐ¼®ÇÏ¿´´Ù.
¿µ¹®³»¿ë
(English Abstract)
In this paper, we represent Nakagami-m fading channel as finite-State Markov Channel (FSMC) and analyze the performance of wireless communication system with varying the fading channel condition. In FSMC model, the received signal's SNR is divided into finite intervals and these intervals are formed into Markov chain states. Each state is modeled by a BSC and the transition probability is dependent upon the physical characterization of the channel. The steady state probability and average symbol error rate of each state and transition probability are derived by numerical analysis and FSMC model is formed with these values. We found that various fading channels can be represented with FSMC by changing state transition index. In fast fading environment in which state transition index is large, the channel can be viewed as i.i.d. channel and on the contrary, in slow fading channel where state transition index is small, the channel can be represented by simple FSMC model in which transitions occur between just adjacent states. And we applied the proposed FSMC model to analyze the coding gain of random error correcting code on various fading channels via computer simulation.
Å°¿öµå(Keyword) Markov   FSMC   Nakagami   ÆäÀ̵ù ¸ðµ¨   ¿¡·¯ Á¤Á¤ ºÎÈ£  
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