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Data Acquisition Process Each 802.11 channel is 22MHz wide.

Wifi Interference Detection and Classification. Access Point. Aruba Network Controller. Computer program. Advisors : Prof. J. V. Krogmeier , Prof. D. J. Love, Prof. C-C. Wang Undergraduate Student: Minhoo Kim, Wan Li Ma Graduate Advisor: Joon Young Kim.

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Data Acquisition Process Each 802.11 channel is 22MHz wide.

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  1. Wifi Interference Detection and Classification Access Point Aruba Network Controller Computer program Advisors: Prof. J. V. Krogmeier, Prof. D. J. Love, Prof. C-C. Wang Undergraduate Student: Minhoo Kim, Wan Li Ma Graduate Advisor: Joon Young Kim Classification through Energy Detection Using FFT data provided by sensing hardware located in access points, algorithms will be developed to detect and classify interfering signals individually based on characteristics. Current work is in the area of identifying the defining characteristics of each interferer and developing software algorithms to effectively detect possible interferers accurately. • Wifi Operation • Unregulated 2.4 and 5GHZ frequencies • 20 and 40 MHz channels • Data Acquisition Process • Each 802.11 channel is 22MHz wide. • In the U.S., there should be no operation in channel 12, 13, and 14 • The scanning process ignores the channels. Aruba Networks Controller and Access Point Aruba Networks Controller and Access Point Power Spectral Density of a typical Video Transmitter Power Spectral Density of a typical Microwave Interference The unregulated frequencies used by wifi networks are utilized by many devices. The interferers can broadly be categorized as follows: Signal Data Output Narrowband with varying duty cyclesExamples of such devices include consumer microwave ovens. Different microwave ovens display differences in the frequencies they occupy as well as the duty cycles of their associated interference. Frequency HoppersExamples of frequency hopping interferers include Bluetooth devices and some cordless phones. Neighboring Wifi access points Typical deployments may occur in environments with high density of neighboring wifi access points. • Future Classification Methods • Adaptive Filter • Median Filter • More precise filtering through parameter adjustment Top: Example of a Microwave Oven with 50% duty cycleBottom: High duty cycle Microwave Oven • Why is this Important? • Network performance can degrade significantly with interference • “Spectrum crisis” – the wireless spectrum is limited but demand increases exponentially Areas and Skills Signals processing and communications (ECE301, ECE302, ECE438, ECE440)C/C++/Socket Programming/Python/Linux (ECE264, ECE364)

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