The demand for technologies relying on the radio spectrum, such as mobile communications and IoT, has been growing exponentially. As a consequence, providing access to the radio spectrum is becoming increasingly more important. The ever-growing wireless traffic and the increasing scarcity of available spectrum warrants efficient management of the radio spectrum. At the same time, machine learning (ML) is becoming ubiquitous and has found applications in many fields for its ability to identify patterns and assist with decision-making processes.

Dataset Files

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[1] Siddhartha Subray, Stefan Tschimben, "IQ dataset of LTE and Wi-Fi signals", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/jv22-ss36. Accessed: Jul. 14, 2024.
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doi = {10.21227/jv22-ss36},
url = {http://dx.doi.org/10.21227/jv22-ss36},
author = {Siddhartha Subray; Stefan Tschimben },
publisher = {IEEE Dataport},
title = {IQ dataset of LTE and Wi-Fi signals},
year = {2021} }
TY - DATA
T1 - IQ dataset of LTE and Wi-Fi signals
AU - Siddhartha Subray; Stefan Tschimben
PY - 2021
PB - IEEE Dataport
UR - 10.21227/jv22-ss36
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Siddhartha Subray, Stefan Tschimben. (2021). IQ dataset of LTE and Wi-Fi signals. IEEE Dataport. http://dx.doi.org/10.21227/jv22-ss36
Siddhartha Subray, Stefan Tschimben, 2021. IQ dataset of LTE and Wi-Fi signals. Available at: http://dx.doi.org/10.21227/jv22-ss36.
Siddhartha Subray, Stefan Tschimben. (2021). "IQ dataset of LTE and Wi-Fi signals." Web.
1. Siddhartha Subray, Stefan Tschimben. IQ dataset of LTE and Wi-Fi signals [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/jv22-ss36
Siddhartha Subray, Stefan Tschimben. "IQ dataset of LTE and Wi-Fi signals." doi: 10.21227/jv22-ss36