Deep Learning-Enabled Zero-Touch Device Identification: Mitigating the Impact of Channel Variability Through MIMO Diversity

no code implementations • 13 Jun 2023 • Bechir Hamdaoui, Nora Basha, Kathiravetpillai Sivanesan

Deep learning-enabled device fingerprinting has proven efficient in enabling automated identification and authentication of transmitting devices.

An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification

no code implementations • 20 Feb 2022 • Jun Chen, Weng-Keen Wong, Bechir Hamdaoui, Abdurrahman Elmaghbub, Kathiravetpillai Sivanesan, Richard Dorrance, Lily L. Yang

We perform a deep dive into understanding the impact of (i) the input representation/type and (ii) the architectural layer of the neural network.

Channel Agnostic End-to-End Learning based Communication Systems with Conditional GAN

no code implementations • 2 Jul 2018 • Hao Ye, Geoffrey Ye Li, Biing-Hwang Fred Juang, Kathiravetpillai Sivanesan

In this article, we use deep neural networks (DNNs) to develop a wireless end-to-end communication system, in which DNNs are employed for all signal-related functionalities, such as encoding, decoding, modulation, and equalization.

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