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...

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Bibliographic Details
Published in:	IEEE journal on selected areas in communications Vol. 41; no. 7; p. 1
Main Authors:	Liu, Chang, Li, Shuangyang, Yuan, Weijie, Liu, Xuemeng, Ng, Derrick Wing Kwan
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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