Dissertation/Thesis Abstract

Experimental analysis of the interference impact of Wi-Fi on ZigBee using cognitive radio
by Younan, Harvy, M.S., California State University, Long Beach, 2011, 105; 1511398
Abstract (Summary)

The increase of ZigBee popularity and usage in different Home Area Networks (HAN) exert a new challenge for operating ZigBee in an environment that is already using wi-Fi. Sharing the spectrum between these two wireless technologies affect the functionality of ZigBee as it may cause a high packet error rate (PER) and major drop in the throughput.

In this thesis we studied the effect of Wi-Fi interference on ZigBee channels by using the Cognitive Radio as Spectrum Analyzer and computed the packet error rate of each of the ZigBee channels. The results that we have obtained contradict the previous analytical and simulation results in which the effect of Wi-Fi on ZigBee has been studied.

In the previous works, the authors assumed that the in-band interference signal of the Wi-Fi is a limited Adaptive White Gaussian Noise (AWGN). Therefore, their results were based only on the interference level on each of the ZigBee channels.

In this work, we prove that the aforementioned assumption does not hold in all cases. Therefore, the obtained results are based on the interference level and distribution of the interference on each of the ZigBee channels.

Indexing (document details)
Advisor: Mangir, Tulin
School: California State University, Long Beach
School Location: United States -- California
Source: MAI 50/05M, Masters Abstracts International
Subjects: Information Technology, Electrical engineering
Publication Number: 1511398
ISBN: 978-1-267-30912-9
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