Analyses of worst-month rain fade statistics for Ku-band (26GHz) in the tropics
ITU proposes that the fraction of time during which a pre-selected threshold is exceeded in the worst-month within a year is referred to as “the annual worst-month time fraction of excess”. This relates directly to situation where accumulation of outages at a specific threshold in one specific m...
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my.iium.irep.356452014-03-06T01:12:00Z http://irep.iium.edu.my/35645/ Analyses of worst-month rain fade statistics for Ku-band (26GHz) in the tropics Ismail, Ahmad Fadzil Abd Rashid, Nur Emeilin Din, Jafri Abdul Rahman, Tharek Islam, Md. Rafiqul T Technology (General) ITU proposes that the fraction of time during which a pre-selected threshold is exceeded in the worst-month within a year is referred to as “the annual worst-month time fraction of excess”. This relates directly to situation where accumulation of outages at a specific threshold in one specific month has the worse effect on the transmission link than if compared to the accumulation that were distributed throughout the year. “Worstmonth” is basically where the threshold is exceeded for the longest time. The study of the worst-month statistics is critical to the designers of telecommunication systems since there might be cases where impairment can be dominated by a single month of the year due to local weather pattern 2012 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/35645/1/paper_tssa.pdf Ismail, Ahmad Fadzil and Abd Rashid, Nur Emeilin and Din, Jafri and Abdul Rahman, Tharek and Islam, Md. Rafiqul (2012) Analyses of worst-month rain fade statistics for Ku-band (26GHz) in the tropics. In: 2012 7th International Conference on Telecommunication Systems, Services, and Applications (TSSA), 30-31 October 2012 , Bali, Indonesia. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6366012&queryText%3DAnalyses+of+Worst-Month+Rain+Fade+Statistics+for+Ku-band+.LB.26GHz.RB.+in+the+Tropics |
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T Technology (General) Ismail, Ahmad Fadzil Abd Rashid, Nur Emeilin Din, Jafri Abdul Rahman, Tharek Islam, Md. Rafiqul Analyses of worst-month rain fade statistics for Ku-band (26GHz) in the tropics |
description |
ITU proposes that the fraction of time during which a
pre-selected threshold is exceeded in the worst-month within a
year is referred to as “the annual worst-month time fraction of
excess”. This relates directly to situation where accumulation of
outages at a specific threshold in one specific month has the
worse effect on the transmission link than if compared to the
accumulation that were distributed throughout the year. “Worstmonth”
is basically where the threshold is exceeded for the
longest time. The study of the worst-month statistics is critical to
the designers of telecommunication systems since there might be
cases where impairment can be dominated by a single month of
the year due to local weather pattern |
format |
Conference or Workshop Item |
author |
Ismail, Ahmad Fadzil Abd Rashid, Nur Emeilin Din, Jafri Abdul Rahman, Tharek Islam, Md. Rafiqul |
author_facet |
Ismail, Ahmad Fadzil Abd Rashid, Nur Emeilin Din, Jafri Abdul Rahman, Tharek Islam, Md. Rafiqul |
author_sort |
Ismail, Ahmad Fadzil |
title |
Analyses of worst-month rain fade statistics for Ku-band (26GHz) in the tropics |
title_short |
Analyses of worst-month rain fade statistics for Ku-band (26GHz) in the tropics |
title_full |
Analyses of worst-month rain fade statistics for Ku-band (26GHz) in the tropics |
title_fullStr |
Analyses of worst-month rain fade statistics for Ku-band (26GHz) in the tropics |
title_full_unstemmed |
Analyses of worst-month rain fade statistics for Ku-band (26GHz) in the tropics |
title_sort |
analyses of worst-month rain fade statistics for ku-band (26ghz) in the tropics |
publishDate |
2012 |
url |
http://irep.iium.edu.my/35645/1/paper_tssa.pdf http://irep.iium.edu.my/35645/ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6366012&queryText%3DAnalyses+of+Worst-Month+Rain+Fade+Statistics+for+Ku-band+.LB.26GHz.RB.+in+the+Tropics |
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1643610831237152768 |
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13.211869 |