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Path Loss Prediction Model for Mobile Radio Wave Propagation into a Multi-Floored Building

This thesis presents the development of a new path loss prediction model for mobile communication field due to wave propagation into multifloored building. Field strength measurements from four different base transceivers (BTS) located at Universiti Putra Malaysia (UPM) campus and Taman Desa Serd...

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Main Author: Ramly, Zainal Hafiz
Format: Thesis
Language:English
English
Published: 2007
Online Access:http://psasir.upm.edu.my/id/eprint/5086/1/FS_2007_59.pdf
http://psasir.upm.edu.my/id/eprint/5086/
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spelling my.upm.eprints.50862013-05-27T07:20:18Z http://psasir.upm.edu.my/id/eprint/5086/ Path Loss Prediction Model for Mobile Radio Wave Propagation into a Multi-Floored Building Ramly, Zainal Hafiz This thesis presents the development of a new path loss prediction model for mobile communication field due to wave propagation into multifloored building. Field strength measurements from four different base transceivers (BTS) located at Universiti Putra Malaysia (UPM) campus and Taman Desa Serdang were conducted at two buildings using an Advantest U3641 spectrum analyzer and AHS519-4 log-periodic antenna. A computer program has been developed to retrieve the measured field strength data from the spectrum analyzer and convert the values gained to path loss using Agilent VEE software. Line-of-sight propagation (for open area) and non-line-of-sight propagation (for building wall obstruction) have been investigated. The measured path loss data have been compared with the results obtained using various path loss prediction models such as COST231 line-of-sight (CLOS), COST231 non-line-of-sight (CNLOS), Gahleitner-Stochastic (GS), Paulsen-Microcell (PMI) and Paulsen-Macrocell (PMA). The results demonstrate poor agreement between the predicted and the true measured path loss. For line-of-sight case; CLOS, GS, PMI and PMA models have overestimated the path loss as high as 16.1%, 78%, 8.61% and 35.8% respectively. For non-line-of-sight case; CNLOS, GS, PMI and PMA models have overestimated the path loss as high as 14%, 91%, 5.56% and 56.17% respectively in all measurement frequencies. An improved version of the PMI model has been developed and tested where the mean error values are found to be approximately 2.5% for all the measurement frequencies. In addition, integrated software UPMIPL for path loss prediction of wave propagation in both line-of-sight and non-line-of-sight cases has been developed and implemented using Agilent VEE. The UPMIPL program provides the utility for calculating the signal characteristics of radio propagation paths and is realized in the run time version. 2007 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/5086/1/FS_2007_59.pdf Ramly, Zainal Hafiz (2007) Path Loss Prediction Model for Mobile Radio Wave Propagation into a Multi-Floored Building. Masters thesis, Universiti Putra Malaysia. English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description This thesis presents the development of a new path loss prediction model for mobile communication field due to wave propagation into multifloored building. Field strength measurements from four different base transceivers (BTS) located at Universiti Putra Malaysia (UPM) campus and Taman Desa Serdang were conducted at two buildings using an Advantest U3641 spectrum analyzer and AHS519-4 log-periodic antenna. A computer program has been developed to retrieve the measured field strength data from the spectrum analyzer and convert the values gained to path loss using Agilent VEE software. Line-of-sight propagation (for open area) and non-line-of-sight propagation (for building wall obstruction) have been investigated. The measured path loss data have been compared with the results obtained using various path loss prediction models such as COST231 line-of-sight (CLOS), COST231 non-line-of-sight (CNLOS), Gahleitner-Stochastic (GS), Paulsen-Microcell (PMI) and Paulsen-Macrocell (PMA). The results demonstrate poor agreement between the predicted and the true measured path loss. For line-of-sight case; CLOS, GS, PMI and PMA models have overestimated the path loss as high as 16.1%, 78%, 8.61% and 35.8% respectively. For non-line-of-sight case; CNLOS, GS, PMI and PMA models have overestimated the path loss as high as 14%, 91%, 5.56% and 56.17% respectively in all measurement frequencies. An improved version of the PMI model has been developed and tested where the mean error values are found to be approximately 2.5% for all the measurement frequencies. In addition, integrated software UPMIPL for path loss prediction of wave propagation in both line-of-sight and non-line-of-sight cases has been developed and implemented using Agilent VEE. The UPMIPL program provides the utility for calculating the signal characteristics of radio propagation paths and is realized in the run time version.
format Thesis
author Ramly, Zainal Hafiz
spellingShingle Ramly, Zainal Hafiz
Path Loss Prediction Model for Mobile Radio Wave Propagation into a Multi-Floored Building
author_facet Ramly, Zainal Hafiz
author_sort Ramly, Zainal Hafiz
title Path Loss Prediction Model for Mobile Radio Wave Propagation into a Multi-Floored Building
title_short Path Loss Prediction Model for Mobile Radio Wave Propagation into a Multi-Floored Building
title_full Path Loss Prediction Model for Mobile Radio Wave Propagation into a Multi-Floored Building
title_fullStr Path Loss Prediction Model for Mobile Radio Wave Propagation into a Multi-Floored Building
title_full_unstemmed Path Loss Prediction Model for Mobile Radio Wave Propagation into a Multi-Floored Building
title_sort path loss prediction model for mobile radio wave propagation into a multi-floored building
publishDate 2007
url http://psasir.upm.edu.my/id/eprint/5086/1/FS_2007_59.pdf
http://psasir.upm.edu.my/id/eprint/5086/
_version_ 1643823087167209472
score 13.211869

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