2018 7th International Conference on Computer and Communication Engineering (ICCCE) 2018
DOI: 10.1109/iccce.2018.8539324
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Millimeter Wave Channel Modeling – Present Development and Challenges in Tropical Areas

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Cited by 13 publications
(12 citation statements)
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“…The research begins with the collection of path loss samples by using a simulator called NYUSIM [15]. This software is very popular given that several researches had used this software for 5G path loss study as discussed in [16] and [17]. This is probably because NYUSIM is an open-source simulator and provides samples that are similar to field measurements of signal levels as claimed in [15].…”
Section: Research Flowmentioning
confidence: 99%
“…The research begins with the collection of path loss samples by using a simulator called NYUSIM [15]. This software is very popular given that several researches had used this software for 5G path loss study as discussed in [16] and [17]. This is probably because NYUSIM is an open-source simulator and provides samples that are similar to field measurements of signal levels as claimed in [15].…”
Section: Research Flowmentioning
confidence: 99%
“…The rain rate and received signal strength data were periodically monitored and logged daily for every minute during rainy events, in 24 hours via the data logger for fifteen months from Jan 1999 to Mar 2000. The collected data were analyzed with developing MATLAB software code to obtain the average yearly rain [1]. Existing rain fade prediction models are based on path reduction factors techniques.…”
Section: Rain-induced Fadingmentioning
confidence: 99%
“…ITU-R 530-17 prediction model [32] has been used to compare measured and predicted values of rain fade. Direct original measurement has given an average value of 125 mm/h at 0.01 % of time rain rate exceeded [1].…”
Section: Rain-induced Fadingmentioning
confidence: 99%
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“…This software was developed based on real measurements in the field using millimeterwave frequencies performed under various outdoor conditions [20]. Each region has different atmospheric and climatic conditions from those of other regions, so they have different channel models that need to be developed independently to get the best network performances [21] [22]. It is necessary to know that the channel model of an area can be used as a reference to minimize data transmission errors and to optimize network performances.…”
Section: Introductionmentioning
confidence: 99%