Publication:
RF macro-cell prediction using fuzzy logic: Case study in Bangkok City -Thailand

dc.contributor.authorSupachai Phaiboonen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2018-09-24T08:56:20Z
dc.date.available2018-09-24T08:56:20Z
dc.date.issued2010-12-01en_US
dc.description.abstractThis 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.en_US
dc.identifier.citationInternational Conference on Communications and Information Technology - Proceedings. (2010), 105-109en_US
dc.identifier.issn17924316en_US
dc.identifier.other2-s2.0-79958702153en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/28970
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79958702153&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleRF macro-cell prediction using fuzzy logic: Case study in Bangkok City -Thailanden_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79958702153&origin=inwarden_US

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