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Found 4 papers, 0 papers with code
Model-based Deep Learning for Beam Prediction based on a Channel Chart
In non-standalone or cell-free systems, chart locations computed at a given base station can be transmitted to several other base stations (possibly operating at different frequency bands) for them to predict which beams to use.
Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting
Channel charting (CC) consists in learning a mapping between the space of raw channel observations, made available from pilot-based channel estimation in multicarrier multiantenna system, and a low-dimensional space where close points correspond to channels of user equipments (UEs) close spatially.
LatentForensics: Towards frugal deepfake detection in the StyleGAN latent space
Combined with other recent studies on the interpretation and manipulation of this latent space, we believe that the proposed approach can further help in developing frugal deepfake classification methods based on interpretable high-level properties of face images.
Channel charting based beamforming
Channel charting (CC) is an unsupervised learning method allowing to locate users relative to each other without reference.
