SVQ-VAE: Federated-Learning-Based Semantic-Aware Communication for Vehicular Networks

The integration of semantic communication technology into intelligent vehicular networks represents a promising research direction, as it significantly reduces data transmission volume and spectrum usage, addressing the high demands of transmitting large-scale visual information between vehicles. Ex...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE internet of things journal Jg. 12; H. 23; S. 51289 - 51304
Hauptverfasser:	Jin, Zhu, Li, Yundi, Song, Tiecheng, Jia, Wen-Kang, Song, Xiaoqin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.12.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Communication Computer architecture Data models Data transmission Decoding Federated learning Heterogeneity Indexes Intelligent vehicles Internet of Things Networks Parameters Semantic communication semantic-aware compression Semantics Servers Tensors Training Transmission efficiency vector quantized variational autoencoder (VAE) Vectors Vehicles vehicular networks
ISSN:	2327-4662, 2327-4662
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!