Search Results for author:
Found 4 papers, 2 papers with code
PyJama: Differentiable Jamming and Anti-Jamming with NVIDIA Sionna
Despite extensive research on jamming attacks on wireless communication systems, the potential of machine learning for amplifying the threat of such attacks, or our ability to mitigate them, remains largely untapped.
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems
We demonstrate the efficacy of DUIDD using NVIDIA's Sionna link-level simulator in a 5G-near multi-user MIMO-OFDM wireless system with a novel low-complexity soft-input soft-output data detector, an optimized low-density parity-check decoder, and channel vectors from a commercial ray-tracer.
Bit Error and Block Error Rate Training for ML-Assisted Communication
Even though machine learning (ML) techniques are being widely used in communications, the question of how to train communication systems has received surprisingly little attention.
Model Order Selection in DoA Scenarios via Cross-Entropy based Machine Learning Techniques
In this paper, we present a machine learning approach for estimating the number of incident wavefronts in a direction of arrival scenario.
