Indoor propagation simulation software
Approved for public release; distribution is unlimited === Computer simulation can be used to predict the signal strength in complex indoor environments. Signal propagation prediction is essential for determining the coverage of WLAN's (Wireless Local Area Networks). Increasing use of WLANs wit...
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Monterey, California. Naval Postgraduate School
2012
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ndltd-nps.edu-oai-calhoun.nps.edu-10945-77162015-08-06T16:02:53Z Indoor propagation simulation software Calle, Juan Carlos Lebaric, Jovan Adler, Richard Approved for public release; distribution is unlimited Computer simulation can be used to predict the signal strength in complex indoor environments. Signal propagation prediction is essential for determining the coverage of WLAN's (Wireless Local Area Networks). Increasing use of WLANs within infrastructures that have been built prior to the installation of the wireless networks requires measurements, semi-empirical models, or computer simulations to determine the number and location of access points for optimum coverage. In cases where the infrastructure has yet to be built (as in a new class of ships) the simulation may be the only option for WLAN coverage prediction. In such a case, blueprints may be used in conjunction with the indoor propagation simulation software in order to predict the best places to install the access points. The indoor propagation simulation software differs from the outdoor propagation software used for the cellular networks because of the differences in the characteristics of indoor and outdoor propagation channels. This thesis explains the characteristics and structure of a Wireless Local Area Network and presents the computer simulation results the 2.4 GHz wireless signal propagation inside an enclosed space. A building at the Naval Postgraduate School, where some previous physical measurements have been conducted, was selected for the indoor propagation simulation 2012-08-09T18:47:45Z 2012-08-09T18:47:45Z 2000-09 Thesis http://hdl.handle.net/10945/7716 en_US Monterey, California. Naval Postgraduate School |
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Approved for public release; distribution is unlimited === Computer simulation can be used to predict the signal strength in complex indoor environments. Signal propagation prediction is essential for determining the coverage of WLAN's (Wireless Local Area Networks). Increasing use of WLANs within infrastructures that have been built prior to the installation of the wireless networks requires measurements, semi-empirical models, or computer simulations to determine the number and location of access points for optimum coverage. In cases where the infrastructure has yet to be built (as in a new class of ships) the simulation may be the only option for WLAN coverage prediction. In such a case, blueprints may be used in conjunction with the indoor propagation simulation software in order to predict the best places to install the access points. The indoor propagation simulation software differs from the outdoor propagation software used for the cellular networks because of the differences in the characteristics of indoor and outdoor propagation channels. This thesis explains the characteristics and structure of a Wireless Local Area Network and presents the computer simulation results the 2.4 GHz wireless signal propagation inside an enclosed space. A building at the Naval Postgraduate School, where some previous physical measurements have been conducted, was selected for the indoor propagation simulation |
author2 |
Lebaric, Jovan |
author_facet |
Lebaric, Jovan Calle, Juan Carlos |
author |
Calle, Juan Carlos |
spellingShingle |
Calle, Juan Carlos Indoor propagation simulation software |
author_sort |
Calle, Juan Carlos |
title |
Indoor propagation simulation software |
title_short |
Indoor propagation simulation software |
title_full |
Indoor propagation simulation software |
title_fullStr |
Indoor propagation simulation software |
title_full_unstemmed |
Indoor propagation simulation software |
title_sort |
indoor propagation simulation software |
publisher |
Monterey, California. Naval Postgraduate School |
publishDate |
2012 |
url |
http://hdl.handle.net/10945/7716 |
work_keys_str_mv |
AT callejuancarlos indoorpropagationsimulationsoftware |
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