RF macro-cell prediction using fuzzy logic: Case study in Bangkok City -Thailand
This paper proposes an simple method to predict macro cell design using fuzzy logic approximation. The concept of Fuzzy logic was applied to predict path loss at 1 km interception point. The input fuzzy sets were classified into three sets namely, percent of buildings, houses and tree within 1 km ra...
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th-mahidol.289702018-09-24T15:56:20Z RF macro-cell prediction using fuzzy logic: Case study in Bangkok City -Thailand Supachai Phaiboon Mahidol University Computer Science This paper proposes an simple method to predict macro cell design using fuzzy logic approximation. The concept of Fuzzy logic was applied to predict path loss at 1 km interception point. The input fuzzy sets were classified into three sets namely, percent of buildings, houses and tree within 1 km radius area. A inference engine was then applied via linguistic rules which were trained by conventional point to point model in realistic environment. To check the proposed model, we compared the fuzzy prediction with other areas. The results shown that the fuzzy logic approximation provided an accuracy prediction and a user friendly prediction. 2018-09-24T08:56:20Z 2018-09-24T08:56:20Z 2010-12-01 Conference Paper International Conference on Communications and Information Technology - Proceedings. (2010), 105-109 17924316 2-s2.0-79958702153 https://repository.li.mahidol.ac.th/handle/123456789/28970 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79958702153&origin=inward |
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Thailand Thailand |
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Computer Science |
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Computer Science Supachai Phaiboon RF macro-cell prediction using fuzzy logic: Case study in Bangkok City -Thailand |
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This paper proposes an simple method to predict macro cell design using fuzzy logic approximation. The concept of Fuzzy logic was applied to predict path loss at 1 km interception point. The input fuzzy sets were classified into three sets namely, percent of buildings, houses and tree within 1 km radius area. A inference engine was then applied via linguistic rules which were trained by conventional point to point model in realistic environment. To check the proposed model, we compared the fuzzy prediction with other areas. The results shown that the fuzzy logic approximation provided an accuracy prediction and a user friendly prediction. |
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Mahidol University |
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Mahidol University Supachai Phaiboon |
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Conference or Workshop Item |
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Supachai Phaiboon |
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Supachai Phaiboon |
| title |
RF macro-cell prediction using fuzzy logic: Case study in Bangkok City -Thailand |
| title_short |
RF macro-cell prediction using fuzzy logic: Case study in Bangkok City -Thailand |
| title_full |
RF macro-cell prediction using fuzzy logic: Case study in Bangkok City -Thailand |
| title_fullStr |
RF macro-cell prediction using fuzzy logic: Case study in Bangkok City -Thailand |
| title_full_unstemmed |
RF macro-cell prediction using fuzzy logic: Case study in Bangkok City -Thailand |
| title_sort |
rf macro-cell prediction using fuzzy logic: case study in bangkok city -thailand |
| publishDate |
2018 |
| url |
https://repository.li.mahidol.ac.th/handle/123456789/28970 |
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1763497078700376064 |