This LTE_RFFI project sets up an LTE device radio frequency fingerprint identification system using deep learning techniques. The LTE uplink signals are collected from ten different LTE devices using a USRP N210 in different locations. The sampling rate of the USRP is 25 MHz. The received signal is resampled to 30.72 MHz in Matlab and is saved in the MAT file form. The corresponding processed signals are included in the dataset. More details about the datasets can be found in the README document.

Dataset Files

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[1] Xuan Yang, "LTE_DATASET", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/2var-7p97. Accessed: Jan. 20, 2025.
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doi = {10.21227/2var-7p97},
url = {http://dx.doi.org/10.21227/2var-7p97},
author = {Xuan Yang },
publisher = {IEEE Dataport},
title = {LTE_DATASET},
year = {2023} }
TY - DATA
T1 - LTE_DATASET
AU - Xuan Yang
PY - 2023
PB - IEEE Dataport
UR - 10.21227/2var-7p97
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Xuan Yang. (2023). LTE_DATASET. IEEE Dataport. http://dx.doi.org/10.21227/2var-7p97
Xuan Yang, 2023. LTE_DATASET. Available at: http://dx.doi.org/10.21227/2var-7p97.
Xuan Yang. (2023). "LTE_DATASET." Web.
1. Xuan Yang. LTE_DATASET [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/2var-7p97
Xuan Yang. "LTE_DATASET." doi: 10.21227/2var-7p97