Joint Source-Channel Coding for a Multivariate Gaussian over a Gaussian MAC using Variational Domain Adaptation

With the development of the distributed learning and edge computing, servers must often receive information from multiple terminal devices; thus, the importance of source-channel coding for distributed sources over multiple access channels (MACs) becomes more and more significant. This study present...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on cognitive communications and networking Jg. 9; H. 6; S. 1
Hauptverfasser:	Li, Yishen, Chen, Xuechen, Deng, Xiaoheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptation Adaptation models Coding Correlation coefficients Decoding Deep joint source-channel coding Delays domain adaptation Domains Edge computing Encoding Feature extraction Learning multiple-access channel Multivariate analysis multivariate Gaussian Regularization Symbols variational autoencoder
ISSN:	2332-7731, 2332-7731
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!