Upper-and lower-bound path-loss modeling for indoor line-of-sight environments

Upper-and lower-bound path-loss modeling for indoor line-of-sight environments

This paper proposes a method to predict line-of-sight (LOS) path loss in buildings. We performed measurements in two different type of buildings at a frequency of 1.8 GHz and propose upper-and-lower bounds path loss models which depend on max and min values of sample path loss data. This makes our m...

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Main Authors: Supachai Phaiboon, Pisit Phokharatkul, Suripon Somkuarnpanit, Sitchai Boonpiyathud
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
Subjects:
Engineering
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/16506
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Institution: Mahidol University
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spelling th-mahidol.165062018-06-21T15:13:40Z Upper-and lower-bound path-loss modeling for indoor line-of-sight environments Supachai Phaiboon Pisit Phokharatkul Suripon Somkuarnpanit Sitchai Boonpiyathud Mahidol University King Mongkut's Institute of Technology Ladkrabang Thammasat University Engineering This paper proposes a method to predict line-of-sight (LOS) path loss in buildings. We performed measurements in two different type of buildings at a frequency of 1.8 GHz and propose upper-and-lower bounds path loss models which depend on max and min values of sample path loss data. This makes our models limit path loss within the boundary lines. The models include time-variant effects such as people moving and cars in parking areas with their influence on wave propagation that is very high. The results have shown that the proposed models will be useful for the system and cell design of indoor wireless communication systems. © 2005 IEEE. 2018-06-21T08:13:40Z 2018-06-21T08:13:40Z 2005-12-01 Conference Paper Asia-Pacific Microwave Conference Proceedings, APMC. Vol.4, (2005) 10.1109/APMC.2005.1606798 2-s2.0-33847126605 https://repository.li.mahidol.ac.th/handle/123456789/16506 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33847126605&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 Engineering
spellingShingle Engineering
Supachai Phaiboon
Pisit Phokharatkul
Suripon Somkuarnpanit
Sitchai Boonpiyathud
Upper-and lower-bound path-loss modeling for indoor line-of-sight environments
description This paper proposes a method to predict line-of-sight (LOS) path loss in buildings. We performed measurements in two different type of buildings at a frequency of 1.8 GHz and propose upper-and-lower bounds path loss models which depend on max and min values of sample path loss data. This makes our models limit path loss within the boundary lines. The models include time-variant effects such as people moving and cars in parking areas with their influence on wave propagation that is very high. The results have shown that the proposed models will be useful for the system and cell design of indoor wireless communication systems. © 2005 IEEE.
author2 Mahidol University
author_facet Mahidol University
Supachai Phaiboon
Pisit Phokharatkul
Suripon Somkuarnpanit
Sitchai Boonpiyathud
format Conference or Workshop Item
author Supachai Phaiboon
Pisit Phokharatkul
Suripon Somkuarnpanit
Sitchai Boonpiyathud
author_sort Supachai Phaiboon
title Upper-and lower-bound path-loss modeling for indoor line-of-sight environments
title_short Upper-and lower-bound path-loss modeling for indoor line-of-sight environments
title_full Upper-and lower-bound path-loss modeling for indoor line-of-sight environments
title_fullStr Upper-and lower-bound path-loss modeling for indoor line-of-sight environments
title_full_unstemmed Upper-and lower-bound path-loss modeling for indoor line-of-sight environments
title_sort upper-and lower-bound path-loss modeling for indoor line-of-sight environments
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/16506
_version_ 1763497302732832768

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