Vierailuluento: Jakob Hoydis "Deep-Learning for the Physical Layer with Sionna"

Tohtori Jakob Hoydis (NVIDIA) pitää vierailuluennon Tietotekniikan laitoksella.
Jakob Hoydis_Deep-Learning for the Physical Layer with Sionna

Deep-Learning for the Physical Layer with Sionna

Jakob Hoydis

Abstract: Sionna is an open-source, GPU-accelerated, and fully differentiable link-level simulator for 6G research. One of its main features is automatic gradient computation through an entire end-to-end system which allows for seamless integration and training of neural networks. After a short introduction explaining the motivation behind Sionna, its features and design principles, I will discuss several of our recent research results, including synchronization for NB-IoT as well as GNN-based channel decoding.

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