Code for M. Polese, J. Jornet, T. Melodia, M. Zorzi, “Toward End-to-End, Full-Stack 6G Terahertz Networks”, https://arxiv.org/abs/2005.07989, 2020.
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Updated
Aug 11, 2020 - C++
Code for M. Polese, J. Jornet, T. Melodia, M. Zorzi, “Toward End-to-End, Full-Stack 6G Terahertz Networks”, https://arxiv.org/abs/2005.07989, 2020.
6G and Security repository for telecommunications and AI research. We will share our implementations and publications in 5G and beyond technology, 6G, Security, Machine learning on 6G, Massive MIMO, THz communication and communication networks.
A free and open-source (FOSS) Python class to exctract the refractive index and absorption coefficient from time traces of a THz Time Domain Spectrometer (THz-TDS).
Terahertz time-domain spectroscopy for material analysis with Python
CNN-based deep learning classifier for identification of volatile organic compounds (VOCs) in the THz frequency range. (Part of PhD dissertation)
This dataset refers to the paper https://arxiv.org/abs/2306.17062. The dataset consists of beam SNR samples corresponding to set of 10 gestures across three people and two environments
BRAVE is a collaborative research project started in January 2018, that aims at creating new physical-layer (PHY) techniques devoted to beyond-5G wireless communications. The partners (Siradel, Central-Supélec, CEA-Leti and ANFR) are designing new high-data-rate and energy-efficient waveforms that operate in frequencies above 90 GHz. Application…
THz visibility prediction and AP assignment simulator
Graphical Data Acquisition Software for Terahertz Time-Domain Spectrocopy.
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