Efficient spectrum summarization using compressed spectrum scans

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Apr 2018Publisher:IEEEJournal:IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Authors: Mariya Zheleva; Timothy LaRock; Paul Schmitt; Petko Bogdanov;

doi: 10.1109/infcomw.2018.8407002

Efficient spectrum summarization using compressed spectrum scans

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Abstract

We present AirPress, a spectrum scan compression method that leverages wavelet decomposition for lossy compression of spectrum data and allows up to 64:1 compression ratio of power spectral density traces without adversely impacting the spectrum summarization accuracy. We demonstrate the utility of AirPress on real-world spectrum measurements and show that it enables high-accuracy spectrum summarization of real-world transmitters while reducing the corresponding trace by 94%.

Related Organizations

State University of New York at Potsdam
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