Indoor Propagation Modeling at 2.4 GHz for IEEE 802.11 Networks

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Indoor use of wireless systems poses one of the biggest design challenges. It is difficult to predict the propagation of a radio frequency wave in an indoor environment. To assist in deploying the above systems, characterization of the indoor radio propagation channel is essential. The contributions of this work are two-folds. First, in order to build a model, extensive field strength measurements are carried out inside two different buildings. Then, path loss exponents from log-distance path loss model and standard deviations from log-normal shadowing, which statistically describe the path loss models for a different transmitter receiver separations and scenarios, are ... continued below

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Tummala, Dinesh December 2005.

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This thesis is part of the collection entitled: UNT Theses and Dissertations and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 3229 times , with 32 in the last month . More information about this thesis can be viewed below.

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  • Tummala, Dinesh

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Indoor use of wireless systems poses one of the biggest design challenges. It is difficult to predict the propagation of a radio frequency wave in an indoor environment. To assist in deploying the above systems, characterization of the indoor radio propagation channel is essential. The contributions of this work are two-folds. First, in order to build a model, extensive field strength measurements are carried out inside two different buildings. Then, path loss exponents from log-distance path loss model and standard deviations from log-normal shadowing, which statistically describe the path loss models for a different transmitter receiver separations and scenarios, are determined. The purpose of this study is to characterize the indoor channel for 802.11 wireless local area networks at 2.4 GHz frequency. This thesis presents a channel model based on measurements conducted in commonly found scenarios in buildings. These scenarios include closed corridor, open corridor, classroom, and computer lab. Path loss equations are determined using log-distance path loss model and log-normal shadowing. The chi-square test statistic values for each access point are calculated to prove that the observed fading is a normal distribution at 5% significance level. Finally, the propagation models from the two buildings are compared to validate the generated equations.

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  • December 2005

Added to The UNT Digital Library

  • Feb. 15, 2008, 4:32 p.m.

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  • Jan. 14, 2014, 4:31 p.m.

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Tummala, Dinesh. Indoor Propagation Modeling at 2.4 GHz for IEEE 802.11 Networks, thesis, December 2005; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc4924/: accessed July 26, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .