Simultaneous modulation format identification and OSNR monitoring based on optoelectronic reservoir computingShow others and affiliations
2022 (English)In: Optics Express, E-ISSN 1094-4087, Vol. 30, no 26, p. 47515-47527
Article in journal (Refereed) Published
Abstract [en]
An approach for simultaneous modulation format identification (MFI) and optical signal-to-noise ratio (OSNR) monitoring in digital coherent optical communications is proposed based on optoelectronic reservoir computing (RC) and the signal’s amplitude histograms (AHs) obtained after the adaptive post-equalization. The optoelectronic RC is implemented using a Mach-Zehnder modulator and optoelectronic delay feedback loop. We investigate the performance of the proposed model with the number of symbols, bins of AHs and the hyperparameters of optoelectronic RC. The results show that 100% MFI accuracy can be achieved simultaneously with accurate OSNR estimation for different modulation formats under study. The lowest achievable OSNR estimation mean absolute errors for the dual-polarization (DP)-quadrature phase-shift keying signal, the DP-16-ary quadrature amplitude modulation (16QAM) signal, and the DP-64QAM signal are 0.2 dB, 0.32 dB and 0.53 dB, respectively. The robustness of the proposed scheme is also evaluated when the optoelectronic RC is in presence of additive white Gaussian noises. Then, a proof of concept experiment is demonstrated to further verify our proposed method. The proposed approach offers a potential solution for next-generation intelligent optical performance monitoring in the physical layer.
Place, publisher, year, edition, pages
Optica Publishing Group (formerly OSA) , 2022. Vol. 30, no 26, p. 47515-47527
Keywords [en]
Gaussian noise (electronic), Light modulators, Optical communication, Optical signal processing, Quadrature amplitude modulation, Signal to noise ratio, Amplitude histograms, Coherent optical communications, Dual-polarizations, Mach Zehnder modulator, Modulation formats, Optical signal to noise ratio, Optical signal-to-noise ratio monitoring, Post-equalization, Reservoir Computing, Signalto- noise ratio estimations, White noise, amplitude modulation, article, mean absolute error, noise, polarization, proof of concept, signal noise ratio
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:ri:diva-62363DOI: 10.1364/OE.474207Scopus ID: 2-s2.0-85144361519OAI: oai:DiVA.org:ri-62363DiVA, id: diva2:1730026
Note
Funding details: National Natural Science Foundation of China, NSFC, 61775015, U2006217; Funding details: Vetenskapsrådet, VR, 2019-05197, 2022-04798; Funding details: China Scholarship Council, CSC, 202107090113; Funding details: Latvijas Zinātnes Padome, lzp-2022/1-0497; Funding text 1: Funding. National Natural Science Foundation of China (U2006217, 61775015); China Scholarship Council (202107090113); the Swedish Research Council (VR) (2019-05197, 2022-04798); the Latvian Council of Science (lzp-2022/1-0497).
2023-01-232023-01-232024-03-04Bibliographically approved