Predictive Precoder Design for OTFS-Enabled URLLC: A Deep Learning Approach

This paper investigates the orthogonal time frequency space (OTFS) transmission for enabling ultra-reliable low-latency communications (URLLC). To guarantee excellent reliability performance, pragmatic precoder design is an effective and indispensable solution. However, the design requires accurate...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE journal on selected areas in communications Jg. 41; H. 7; S. 1
Hauptverfasser:	Liu, Chang, Li, Shuangyang, Yuan, Weijie, Liu, Xuemeng, Ng, Derrick Wing Kwan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Channel estimation Deep learning Encoding Feature extraction Lower bounds Machine learning Network latency orthogonal time frequency space (OTFS) predictive precoder design Reliability System reliability Time-frequency analysis Ultra reliable low latency communication Ultra-reliable low-latency communications (URLLC) Unsupervised learning
ISSN:	0733-8716, 1558-0008
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!