COSINE: Cellular cOmmunication SIgNal datasEt

Citation Author(s):: Kürşat
TEKBIYIK

İstanbul Technical University

Özkan
Akbunar

Ali Rıza
Ekti
Balikesir University

Ali
Görçin
Yildiz Technical University

Güneş
Karabulut Kurt
İstanbul Technical University
Submitted by:: Kursat Tekbiyik
Last updated:: Tue, 05/17/2022 - 22:21
DOI:: 10.21227/safr-gh59
Data Format:: *.mat
Link to Paper:: Spectrum Sensing and Signal Identification With Deep Learning Based on Spectral Correlation Function
License:: Creative Commons Attribution

5105 Views

Categories:: Machine Learning
Communications
Signal Processing
Keywords:: GSM, UMTS, LTE, wireless communication, Machine Learning

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CITE

Abstract

This dataset covers cellular communication signals in the SCF format. There is a total of 60000 signal instances, 36000 of them are reserved as training data and the rest is for the test. The SNR levels are between 1 dB and 15 dB.

Instructions:

For each SNR level, the training dataset has four files. The user can concatenate these files. The same procedure is valid for the test dataset.

The labels mean:

0 -> AWGN (no signal in the spectrum)

1 -> UMTS

2 -> LTE

3 -> GSM

Comments

Thank you for such nice dataset.

Submitted by Rajnish Kumar on Fri, 04/15/2022 - 07:47

Dataset Files

SCF.zip (55.19 GB)

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Documentation

Attachment	Size
readme.txt	142 bytes

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