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ÇѱÛÁ¦¸ñ(Korean Title) |
D-Fi: ´ÙÀ̹ö½ÃƼ¸¦ ÀÌ¿ëÇϱâ À§ÇÑ OFDM±â¹Ý Bloom Filter ¹«¼±·£ ÇÁ·ÎÅäÄÝ |
¿µ¹®Á¦¸ñ(English Title) |
D-Fi: A Diversity-Aware Wi-Fi Using an OFDM-based Bloom Filter |
ÀúÀÚ(Author) |
À̼öö
ÀÓ»ó¼ø
ÀÌÁضô
±èÁ¾±Ç
Suchul Lee
Sangsoon Lim
Jun-Rak Lee
Chong-Kwon Kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 40 NO. 04 PP. 0230 ~ 0239 (2013. 08) |
Çѱ۳»¿ë (Korean Abstract) |
´ÙÀ̹ö½ÃƼ¸¦ ÀÌ¿ëÇϱâ À§Çؼ´Â º¯ÈÇÏ´Â ¹«¼±Ã¤³ÎÀÇ »óŸ¦ ÃøÁ¤ÇØ¾ß ÇÑ´Ù. ÇÏÁö¸¸ ä³Î »óÅ ÃøÁ¤Àº µ¥ÀÌÅÍÀü¼Û¿¡ »ç¿ëµÇ¾î¾ß ÇÏ´Â ½Ã°£/ÁÖÆļö ÀÚ¿øÀ» »ç¿ëÇØ¾ß ÇϹǷÎ, Á¤È®ÇÑ Ã¤³Î»óŸ¦ ¾ò´Â °ÍÀº ÇÁ·ÎÅäÄÝ Ãø¸é¿¡¼ ¿À¹öÇìµå¸¦ ¾ß±âÇÑ´Ù. º» ³í¹®¿¡¼´Â, ÇÁ·ÎÅäÄÝ È¿À²¼ºÀ» À¯ÁöÇÑ Ã¤·Î ä³Î»óŸ¦ ÃøÁ¤ÇÒ ¼ö ÀÖ´Â ¹«¼±·£ ÇÁ·ÎÅäÄÝÀÎ D-Fi¸¦ Á¦¾ÈÇÑ´Ù. Á¦¾ÈÇÏ´Â ÇÁ·ÎÅäÄÝ D-Fi´Â ä³Î°æÀïÀ» ÇÏ´Â µ¿¾È OFDM±â¹Ý ºí·ëÇÊÅ͸¦ ÀÌ¿ëÇÏ¿© ä³Î»óŸ¦ ÃøÁ¤ÇÑ´Ù. ºí·ëÇÊÅÍ°¡ °¡Áö´Â ³»ÀçÀû ¾àÁ¡À» ÇØ°áÇϱâ À§Çؼ, ºÐ¼®±â¹Ý ¸ÖƼä³Î ¹é¿ÀÇÁ ¾Ë°í¸®ÁòÀ» Á¦¾ÈÇÏ°í ³ª¾Æ°¡¼ ±â°èÇнÀÀ» ºí·ëÇÊÅÍ¿¡ Àû¿ëÇÏ¿´´Ù. ¿ì¸®´Â D-Fi ÇÁ·ÎÅäÄÝÀ» USRP/GNURadio Ç÷§Æû¿¡ ½ÇÁ¦·Î ±¸ÇöÇÔÀ¸·Î½á, Á¦¾ÈÇÏ´Â ÇÁ·ÎÅäÄÝÀÌ ¸Å¿ì ½Ç¿ëÀûÀ̸ç, ´ÙÀ̹ö½ÃƼ¸¦ È¿À²ÀûÀ¸·Î ÀÌ¿ëÇÔÀ» º¸¿´´Ù.
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¿µ¹®³»¿ë (English Abstract) |
To exploit frequency diversity in Wi-Fi channels, instantaneous channel quality must be estimated. However, there is a trade-off between acquiring channel quality information and improving protocol efficiency because channel estimation consumes time and frequency resource that ideally should be used for data transfer. In this paper, we present D-Fi (Diversity-aware Wi-Fi), a novel Wi-Fi PHY/MAC protocol, that capitalizes on frequency diversity gains while sustaining protocol efficiency. The D-Fi design allows to estimate channel quality while D-Fi is performing channel contention using an OFDM-based Bloom filter. To resolve the ambiguity caused by the Bloom filter, we adopt two methods: (i) An analysis-based multi-channel backoff method enables to explore/exploit frequency diversity while reducing the occurrence of the ambiguity. (ii) Applying machine learning (ML) methods to the D-Fi PHY/MAC protocol corrects the ambiguity taken place already and makes our protocol reliable. We have shown the feasibility of D-Fi by implementing it on the USRP/GNURadio platform. Experiments and trace-driven simulations show that D-Fi successfully achieves frequency. |
Å°¿öµå(Keyword) |
OFDM
ºí·ëÇÊÅÍ
¹«¼±·£
ÇÁ·ÎÅäÄÝ
±â°èÇнÀ
OFDM
bloom filter
WLAN
protocol
machine learning
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