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Path Loss and Fading Characterization at 2.4 GHz for Indoor Scenario

Published on September 2014 by P. C. Bapna, S. Joshi, Neha Kothari, Dhruv Kothari
Recent Advances in Wireless Communication and Artificial Intelligence
Foundation of Computer Science USA
RAWCAI - Number 1
September 2014
Authors: P. C. Bapna, S. Joshi, Neha Kothari, Dhruv Kothari
a95d40e7-29e4-4acf-a27d-cb729b963b1a

P. C. Bapna, S. Joshi, Neha Kothari, Dhruv Kothari . Path Loss and Fading Characterization at 2.4 GHz for Indoor Scenario. Recent Advances in Wireless Communication and Artificial Intelligence. RAWCAI, 1 (September 2014), 13-17.

@article{
author = { P. C. Bapna, S. Joshi, Neha Kothari, Dhruv Kothari },
title = { Path Loss and Fading Characterization at 2.4 GHz for Indoor Scenario },
journal = { Recent Advances in Wireless Communication and Artificial Intelligence },
issue_date = { September 2014 },
volume = { RAWCAI },
number = { 1 },
month = { September },
year = { 2014 },
issn = 0975-8887,
pages = { 13-17 },
numpages = 5,
url = { /proceedings/rawcai/number1/17912-1407/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Recent Advances in Wireless Communication and Artificial Intelligence
%A P. C. Bapna
%A S. Joshi
%A Neha Kothari
%A Dhruv Kothari
%T Path Loss and Fading Characterization at 2.4 GHz for Indoor Scenario
%J Recent Advances in Wireless Communication and Artificial Intelligence
%@ 0975-8887
%V RAWCAI
%N 1
%P 13-17
%D 2014
%I International Journal of Computer Applications
Abstract

A measurement exercise is undertaken to determine path loss and fading behavior of the propagation channel through RF level measurements. Path loss exponent is computed for LOS and NLOS antenna positions in a building that predicts effect of wall partitions, number of floors at 2. 4 GHz. Further, the channel fading is derived to understand the exact fading behavior by virtue of obtaining CDF of the fading distribution of the received data. The fading distribution of the received signal is compared to standard distributions mainly Rayleigh, Rician and Lognormal.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cdf Ber Rayleigh Distribution