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Deep Learning-based Transmitter identification on the physical layer

Cyrille Morin 1 Leonardo Cardoso 1 Jakob Hoydis 2 Jean-Marie Gorce 1
1 MARACAS - Modèle et algorithmes pour des systèmes de communication fiables
Inria Grenoble - Rhône-Alpes, CITI - CITI Centre of Innovation in Telecommunications and Integration of services
Abstract : An essential part of most wireless communications systems is the identification of a transmitter by a receiver. Being able to identify a transmitter at the physical layer gives context to the communication itself, but is also an important building block for more advanced techniques such as physical layer security. It can also be used to reduce overhead
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Submitted on : Wednesday, January 20, 2021 - 7:10:18 PM
Last modification on : Thursday, January 20, 2022 - 4:17:43 PM
Long-term archiving on: : Wednesday, April 21, 2021 - 7:10:12 PM