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2023 | OriginalPaper | Chapter

Complex-Valued Neural Networks with Application to Wireless Communication: A Review

Authors : Steven Iverson, Qilian Liang

Published in: Artificial Intelligence in China

Publisher: Springer Nature Singapore

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Abstract

We briefly review complex-valued neural networks (CVNNs) and compare them to real-valued neural networks (RVNNs). CVNNs allow for a richer representation of many wavelike based physics and engineering fields by retaining the data structure and correlation between real and imaginary parts of the signal. For example, most RF modulations use in-phase and quadrature components in which analysis benefits from the use of CVNNs. We then present state of the art in wireless radio applications utilizing CVNNs and/or complex-valued data. Wireless applications reviewed include modulation recognition, signal identification, channel sensing information and specific emitter identification. Finally, we present motivation for future exploration of CVNNs.

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Metadata
Title
Complex-Valued Neural Networks with Application to Wireless Communication: A Review
Authors
Steven Iverson
Qilian Liang
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Artificial Intelligence in China

Print ISBN: 978-981-9912-55-1

Electronic ISBN: 978-981-9912-56-8

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-1256-8_49

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