A Photonics-Inspired Compact Network: Toward Real-Time AI Processing in Communication Systems

Machine learning methods are ubiquitous in communication systems and have proven powerful for applications including radio-frequency (RF) fingerprinting, automatic modulation classification, and signal recovery in communication systems. However, the high throughput requirement of a communication lin...

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Veröffentlicht in:	IEEE journal of selected topics in quantum electronics 2022-07, Vol.28 (4: Mach. Learn. in Photon. Commun. and Meas. Syst.), p.1-17
Hauptverfasser:	Peng, Hsuan-Tung, Lederman, Joshua C., Xu, Lei, de Lima, Thomas Ferreira, Huang, Chaoran, Shastri, Bhavin J., Rosenbluth, David, Prucnal, Paul R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Artificial neural networks Classifiers Communication Communication systems Communications systems Emitters Fiber nonlinear dispersion compensation Fingerprint recognition Fingerprinting Hardware Machine learning Neural networks Optical fiber networks Optical fibers Photonics Radio frequency Real time Real-time systems Recurrent neural networks RF fingerprinting Signal classification Signal reconstruction Silicon silicon photonic neural network Silicon photonics
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