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Found 4 papers, 0 papers with code
Purposeful Co-Design of OFDM Signals for Ranging and Communications
Analysis based on the derived bounds demonstrates how Pareto-optimal design choices can be made to optimize the communication throughput, probability of outage, and ranging variance.
Deep Learning-based Link Configuration for Radar-aided Multiuser mmWave Vehicle-to-Infrastructure Communication
Then, a deep network is used to translate features of these radar spatial covariances into features of the communication spatial covariances, by learning the intricate mapping between radar and communication channels, in both line-of-sight and non-line-of-sight settings.
Radar Aided mmWave Vehicle-to-InfrastructureLink Configuration Using Deep Learning
In this paper, we obtain prior information to speed up the beam training process by implementing two deep neural networks (DNNs) that realize radar-to-communication (R2C) channel information translation in a vehicle-to-infrastructure (V2I) system.
End-to-End Radio Fingerprinting with Neural Networks
This paper presents a novel method for classifying radio frequency (RF) devices from their transmission signals.
