A two-stage GAN pipeline generates wireless channel time-frequency images with user-speed conditioning, and is evaluated with a new cepstral-distance similarity metric.
A survey of 5g channel measurements and models,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SP 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Propagation Channel Modeling by Deep learning Techniques
A two-stage GAN pipeline generates wireless channel time-frequency images with user-speed conditioning, and is evaluated with a new cepstral-distance similarity metric.