Search Results for author: Philip Pietraski

Found 2 papers, 0 papers with code

SignCRF: Scalable Channel-agnostic Data-driven Radio Authentication System

no code implementations21 Mar 2023 Amani Al-shawabka, Philip Pietraski, Sudhir B Pattar, Pedram Johari, Tommaso Melodia

Radio Frequency Fingerprinting through Deep Learning (RFFDL) is a data-driven IoT authentication technique that leverages the unique hardware-level manufacturing imperfections associated with a particular device to recognize (fingerprint) the device based on variations introduced in the transmitted waveform.

Unsupervised Learning for Pilot-free Transmission in 3GPP MIMO Systems

no code implementations4 Feb 2023 Omar M. Sleem, Mohamed Salah Ibrahim, Akshay Malhotra, Mihaela Beluri, Philip Pietraski

This paper introduces a new downlink data structure that is free from demodulation reference signals (DM-RS), and hence does not require any channel estimation at the receiver.

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