Datasets
Standard Dataset
Real-world Wireless Communication Dataset: IEEE 802.11ax, LTE, and 5G-NR Signals

- Citation Author(s):
- Submitted by:
- Siddhartha Subray
- Last updated:
- Thu, 10/05/2023 - 06:48
- DOI:
- 10.21227/b82j-sy57
- Data Format:
- License:
- Categories:
- Keywords:
Abstract
This dataset presents a collection of real-world RF signals encompassing three prominent wireless communication technologies: Wi-Fi (IEEE 802.11ax), LTE, and 5G. The data aims to facilitate advanced research in spectrum analysis, interference identification, and wireless communication optimization. The signals were meticulously captured under varying conditions to ensure a broad representation of real-world scenarios, including different modulation schemes, channel conditions, and data rates. This diverse collection serves as a benchmark for developers, researchers, and industry professionals striving to understand, compare, and innovate within the domains of Wi-Fi, LTE, and 5G. Potential applications range from algorithm development for signal processing, interference mitigation, signal classification, and so on.
Data is stored in numpy.int16 format. The python code to read the data is attached.
Dataset Files
- RF Signal Dataset RF_signal_dataset.zip (784.08 MB)
- Python script for reading data reading_signaldata.py (232 bytes)
Comments
Real-world RF signal datasets for Wi-Fi (IEEE 802.11ax), LTE, and 5G-NR signals.
Subject: Request for Access to Dataset Real-world RF signal datasets for Wi-Fi (IEEE 802.11ax), LTE, and 5G-NR signals
Dear IEEE DataPort Team,
My name is YanZhen, a Ph.D. Student at Changchun University of Science and Technology. I am currently conducting research in the field ofRF fingerprinting, or IoT device identification.
I would like to formally request access to the dataset "Real-world RF signal datasets for Wi-Fi (IEEE 802.11ax), LTE, and 5G-NR signals" hosted on IEEE DataPort (URL: https://ieee-dataport.org/documents/real-world-wireless-communication-da...). This dataset is critical for my research on developing a deep learning model to identify unique RF fingerprints of IoT devices.
The data will be used strictly for non-commercial academic research. I confirm that I will comply with all terms of use, including proper citation of the dataset and avoidance of redistribution without permission.
Thank you for your time and support. Please let me know if any additional information or documentation is required.
Best regards,
Yan Zhen
Changchun University of Science and Technology
developer_yan@163.com
Subject: Request for Access to Dataset Real-world RF signal datasets for Wi-Fi (IEEE 802.11ax), LTE, and 5G-NR signals
Dear IEEE DataPort Team,
My name is YanZhen, a Ph.D. Student at Changchun University of Science and Technology. I am currently conducting research in the field ofRF fingerprinting, or IoT device identification.
I would like to formally request access to the dataset "Real-world RF signal datasets for Wi-Fi (IEEE 802.11ax), LTE, and 5G-NR signals" hosted on IEEE DataPort (URL: https://ieee-dataport.org/documents/real-world-wireless-communication-da...). This dataset is critical for my research on developing a deep learning model to identify unique RF fingerprints of IoT devices.
The data will be used strictly for non-commercial academic research. I confirm that I will comply with all terms of use, including proper citation of the dataset and avoidance of redistribution without permission.
Thank you for your time and support. Please let me know if any additional information or documentation is required.
Best regards,
Yan Zhen
Changchun University of Science and Technology
developer_yan@163.com
i need this dataset for my Msc thesis
I need this dataset for my Comp Comm Networks Thesis
I need this dataset for my UG final year project
I need this dataset for my DRL+MAC research in my graduate thesis
I need this dataset for my DRL+MAC research in my graduate thesis
.
I believe access to this dataset requires subscription to DataPort. Honestly, I'm not able to access my own dataset since I don't have subscription anymore. For those who prefer a free alternative, you may want to explore similar datasets available on popular platforms like Kaggle.