An autoencoder-based solution for IQ constellation analysis

Cita com:
hdl:2117/361753
Document typeConference report
Defense date2021
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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ProjectREAL-NET - REAL-time monitoring and mitigation of nonlinear effects in optical NETworks (EC-H2020-813144)
COGNITIVE 5G APPLICATION-AWARE OPTICAL METRO NETWORKS INTEGRATING MONITORING, DATA ANALYTICS AND OPTIMIZATION (AEI-TEC2017-90097-R)
COGNITIVE 5G APPLICATION-AWARE OPTICAL METRO NETWORKS INTEGRATING MONITORING, DATA ANALYTICS AND OPTIMIZATION (AEI-TEC2017-90097-R)
Abstract
A method for IQ constellation analysis based on Autoencoders is proposed. Exhaustive numerical results show accurate physical metric prediction and large data compression, while providing useful model explainability.
Dataset
https://doi.org/10.34810/data146
CitationRuiz, M. [et al.]. An autoencoder-based solution for IQ constellation analysis. A: European Conference on Optical Communication. "European Conference on Optical Communication, ECOC 2021: Bordeaux, France, September 13-16, 2021". Institute of Electrical and Electronics Engineers (IEEE), 2021, p. 1-4. ISBN 978-1-6654-3868-1. DOI 10.1109/ECOC52684.2021.9606175.
ISBN978-1-6654-3868-1
Publisher versionhttps://ieeexplore.ieee.org/document/9606175
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- Doctorat en Arquitectura de Computadors - Ponències/Comunicacions de congressos [251]
- GCO - Grup de Comunicacions Òptiques - Ponències/Comunicacions de congressos [411]
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