Breakpoint distance los path loss model for indoor communication using anfis
Breakpoint distance LOS model for indoor wireless communication is presented in this paper. The model is based on the determination of the breakpoint distance and % of wall area between the transmitter and the receiver. The propagation path losses are predicted with adaptive neuro - fuzzy inference...
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th-mahidol.164992018-06-21T15:13:39Z Breakpoint distance los path loss model for indoor communication using anfis Supachai Phaiboon Pisit Phokharatkul Suripon Somkurnpanich Mahidol University King Mongkut's Institute of Technology Ladkrabang Engineering Breakpoint distance LOS model for indoor wireless communication is presented in this paper. The model is based on the determination of the breakpoint distance and % of wall area between the transmitter and the receiver. The propagation path losses are predicted with adaptive neuro - fuzzy inference systems (ANFIS), trained with measurements at the frequency of 1.8 GHz. The advantage of the ANFIS with hybrid least squares and gradient descent algorithms is fast convergence compared with original neural network. Comparison of our predicted results to measurements indicate that improvements in accuracy over conventional empirical models are achieved. 2018-06-21T08:13:39Z 2018-06-21T08:13:39Z 2005-12-01 Conference Paper Proceedings of the Second IASTED International Multi-Conference on Automation, Control, and Information Technology - Communication Systems. Vol.2005, (2005), 45-50 2-s2.0-33751260807 https://repository.li.mahidol.ac.th/handle/123456789/16499 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33751260807&origin=inward |
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Engineering Supachai Phaiboon Pisit Phokharatkul Suripon Somkurnpanich Breakpoint distance los path loss model for indoor communication using anfis |
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Breakpoint distance LOS model for indoor wireless communication is presented in this paper. The model is based on the determination of the breakpoint distance and % of wall area between the transmitter and the receiver. The propagation path losses are predicted with adaptive neuro - fuzzy inference systems (ANFIS), trained with measurements at the frequency of 1.8 GHz. The advantage of the ANFIS with hybrid least squares and gradient descent algorithms is fast convergence compared with original neural network. Comparison of our predicted results to measurements indicate that improvements in accuracy over conventional empirical models are achieved. |
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Mahidol University |
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Mahidol University Supachai Phaiboon Pisit Phokharatkul Suripon Somkurnpanich |
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Conference or Workshop Item |
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Supachai Phaiboon Pisit Phokharatkul Suripon Somkurnpanich |
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Supachai Phaiboon |
title |
Breakpoint distance los path loss model for indoor communication using anfis |
title_short |
Breakpoint distance los path loss model for indoor communication using anfis |
title_full |
Breakpoint distance los path loss model for indoor communication using anfis |
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Breakpoint distance los path loss model for indoor communication using anfis |
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Breakpoint distance los path loss model for indoor communication using anfis |
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breakpoint distance los path loss model for indoor communication using anfis |
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2018 |
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https://repository.li.mahidol.ac.th/handle/123456789/16499 |
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