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Published June 2, 2021 | Version v1
Dataset Open

Datasets of Indoor Wireless Channel Measurements for Machine Learning Applications

  • 1. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

Description

This is a simple dataset of raw IQ measurements on a point-to-point wireless indoor channel, captured in a static laboratory environment. A sequence of random symbols (either QPSK symbols or random Gaussian symbols) are passed through a raised-root-cosine filter and modulated to different frequencies (433 MHz, 708 MHz, 2450 MHz). These measurements are carried out for varying signal-to-noise conditions (approximately 0 dB, 10 dB, 20 dB, estimated pre-measurement). These datasets may be used, for example, for data-driven channel modeling with state-of-the-art AI and machine learning algorithms (e.g., generative adversarial networks), for validating conventional channel models against real measurements, or for investigating the properties of real wireless channels. A detailed description is provided in the file README.pdf
 

Notes

Funding-Grants: Spanish Ministry of Economy and Competitiveness under Project RTI2018-099722-B-I00 (ARISTIDES)

Files

README.pdf

Files (3.8 GB)

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