Dataset for FFT of IQ samples: LTE, NR, and Overlap

Citation Author(s):
Ghent University
Submitted by:
Merkebu Girmay
Last updated:
Mon, 08/14/2023 - 10:34
Data Format:
Research Article Link:
0 ratings - Please login to submit your rating.


Dynamic Spectrum Sharing (DSS) is an enabler for a seamless transition from 4G Long TermEvolution (LTE) to 5G New Radio (NR) by utilizing existing LTE bands without static spectrum re-farming. In this paper, we propose a cross-band DSS scheme that utilizes the Multimedia BroadcastMulticast Service over a Single Frequency Network (MBSFN) feature of an LTE network and theMulticast Broadcast Service (MBS) feature of an NR network. The proposed DSS scheme utilizes LTEand NR resource controllers to assign muted MBSFN subframes on the LTE band and muted MBSsubframes on the NR band based on traffic needs. In contrast to the state-of-the-art, the proposed DSSscheme does not require a coordination signaling channel between the LTE and NR networks. Instead, amachine learning-based Technology Recognition and Traffic Characterization (TRTC) system is used toidentify and characterize traffic patterns. The LTE and NR resource controllers use the TRTC to sensethe muted subframes and offload traffic accordingly. On average, the proposed DSS, as compared tostatic band configuration, improves the LTE throughput, NR throughput, LTE band spectrum utilizationefficiency, and NR band spectrum utilization efficiency by 13.5%, 8.3%, 11.8%, and 20.7%, respectively.


The file "dataset_snr.mat" contains the data and lables.  In the matfile there are vectors "data" and "label".
"data" contains a vector of  FFT of the IQ samples from LTE, NR, and Overlap and the vector "label" is used to store the corrosponding labels.
The file "data_snr_label.mat" stores the channel SNR corresponding to the stored IQ samples.

The source code used to train the model based on this dataset is available here

Dataset Files

    Files have not been uploaded for this dataset