A Wasserstein GAN Autoencoder for SCMA Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3164979
Abstract: In the view of the exponential growth of mobile applications, the Sparse Code Multiple Access (SCMA) is one promising code-domain Non-Orthogonal Multiple Access (NOMA) technique. The challenge in the adoption of SCMA in practical networks… read more here.
Keywords: scma; autoencoder; wasserstein gan; gan autoencoder ... See more keywords
Experimental Study on Generative Adversarial Network for Precipitation Nowcasting
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3177625
Abstract: Precipitation nowcasting is an important task, which can be used in numerous applications. The key challenge of the task lies in radar echo map prediction. Previous studies leverage Convolutional Recurrent Neural Network (ConvRNN) to address… read more here.
Keywords: network; wasserstein gan; regularization; generative adversarial ... See more keywords