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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
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Claim

Machine Learning for LTE Energy DetectionPerformance Improvement

Research datakeyboard_double_arrow_right Dataset 31 Aug 2019Publisher:Zenodo
Authors: Wasilewska, Małgorzata;

doi: 10.5281/zenodo.3382883 , 10.5281/zenodo.3382882

Machine Learning for LTE Energy DetectionPerformance Improvement

Abstract

LTE signal generated using matlab. LTE signal is transmitted through fading channel with shadowing. Energy Detection is performed on received LTE data. Energy Detection results are saved in the text files. Those results can be used in Python programs to test out k-Nearest Neighbors and Random Forest Machine Learning algorithms. Results can be then used in matlab programs to show on plots improvement in terms of probability of detection and false alarm.

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Keywords

machine learning, spectrum sensing, machine learning, energy detection, k-nearest neighbors, spectrum sensing, cognitive radio, cognitive radio, energy detection, random forest

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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1
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