2 to 16 GHz Microwave line-of-sight path loss prediction on Urban streets by fuzzy logic models

2 to 16 GHz Microwave line-of-sight path loss prediction on Urban streets by fuzzy logic models

This paper proposes a method to model the path loss characteristics on urban streets in microwave band. We applied the concept of fuzzy logic to predict an unknown path loss from a set of known path loss. The input fuzzy sets were classified into five sets, namely distance between transmitter and re...

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Main Authors: S. Phaiboon, P. Phokharatkul, S. Somkuarnpanit
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
Subjects:
Computer Science
Engineering
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/24401
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spelling th-mahidol.244012018-08-24T08:49:33Z 2 to 16 GHz Microwave line-of-sight path loss prediction on Urban streets by fuzzy logic models S. Phaiboon P. Phokharatkul S. Somkuarnpanit Mahidol University King Mongkut's Institute of Technology Ladkrabang Computer Science Engineering This paper proposes a method to model the path loss characteristics on urban streets in microwave band. We applied the concept of fuzzy logic to predict an unknown path loss from a set of known path loss. The input fuzzy sets were classified into five sets, namely distance between transmitter and receiver, frequency, time of day, transmitting antenna height and receiving antenna height. These inputs are then inferenced into output path loss via linguistic rules which were trained by measurement. To check the proposed model, we compared the fuzzy prediction with another measurement. The results shown that the fuzzy logic models provided a better prediction. 2018-08-24T01:48:12Z 2018-08-24T01:48:12Z 2007-05-31 Conference Paper IEEE Region 10 Annual International Conference, Proceedings/TENCON. Vol.2007, (2007) 10.1109/TENCON.2005.301255 2-s2.0-34249287058 https://repository.li.mahidol.ac.th/handle/123456789/24401 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=34249287058&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
Engineering
spellingShingle Computer Science
Engineering
S. Phaiboon
P. Phokharatkul
S. Somkuarnpanit
2 to 16 GHz Microwave line-of-sight path loss prediction on Urban streets by fuzzy logic models
description This paper proposes a method to model the path loss characteristics on urban streets in microwave band. We applied the concept of fuzzy logic to predict an unknown path loss from a set of known path loss. The input fuzzy sets were classified into five sets, namely distance between transmitter and receiver, frequency, time of day, transmitting antenna height and receiving antenna height. These inputs are then inferenced into output path loss via linguistic rules which were trained by measurement. To check the proposed model, we compared the fuzzy prediction with another measurement. The results shown that the fuzzy logic models provided a better prediction.
author2 Mahidol University
author_facet Mahidol University
S. Phaiboon
P. Phokharatkul
S. Somkuarnpanit
format Conference or Workshop Item
author S. Phaiboon
P. Phokharatkul
S. Somkuarnpanit
author_sort S. Phaiboon
title 2 to 16 GHz Microwave line-of-sight path loss prediction on Urban streets by fuzzy logic models
title_short 2 to 16 GHz Microwave line-of-sight path loss prediction on Urban streets by fuzzy logic models
title_full 2 to 16 GHz Microwave line-of-sight path loss prediction on Urban streets by fuzzy logic models
title_fullStr 2 to 16 GHz Microwave line-of-sight path loss prediction on Urban streets by fuzzy logic models
title_full_unstemmed 2 to 16 GHz Microwave line-of-sight path loss prediction on Urban streets by fuzzy logic models
title_sort 2 to 16 ghz microwave line-of-sight path loss prediction on urban streets by fuzzy logic models
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/24401
_version_ 1763495232427524096

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