[1] |
MATA J , MUGUEL I , DURAN R J ,et al. Artificial intelligence (AI) methods in optical networks:a comprehensive survey[J]. Optical Switching and Networking, 2018,28(4): 43-57.
|
[2] |
MUSUMECI F , ROTTONDI C , NAG A ,et al. An overview on application of machine learning techniques in optical networks[J]. IEEE Communications Surveys & Tutorials, 2019,21(2): 1383-1408.
|
[3] |
ZHANG J , CHEN W , GAO M ,et al. Intelligent adaptive coherent optical receiver based on convolutional neural network and clustering algorithm[J]. Optics Express, 2018,26(14): 18684-18698.
|
[4] |
THRANE J , WASS J , PIELS M ,et al. Machine learning techniques for optical performance monitoring from directly detected PDM-QAM signals[J]. IEEE/OSA Journal of Lightwave Technology, 2017,35(4): 868-875.
|
[5] |
KHAN F N , ZHONG K,AL-ARASHI W H ,et al. Modulation format identification in coherent receivers using deep machine learning[J]. IEEE Photonics Technology Letters, 2016,28(17): 1886-1889.
|
[6] |
ROTTONDI C , BARLETTA L , GIUSTI A ,et al. Machine-learning method for quality of transmission prediction of unestablished lightpaths[J]. IEEE/OSA Journal of Optical Communications and Networking, 2018,10(2): A286-A297.
|
[7] |
MORAIS R M , PEDRO J . Machine learning models for estimating quality of transmission in DWDM networks[J]. IEEE/OSA Journal of Optical Communications and Networking, 2018,10(10): D84-D99.
|
[8] |
SAMADI P , AMAR D , LEPERS C ,et al. Quality of transmission prediction with machine learning for dynamic operation of optical WDM networks[C]// 2017 European Conference on Optical Communication. IEEE/OSA, 2017: 1-3.
|
[9] |
SHAHKARAMI S , MUSUMECI F , CUGINI F ,et al. Machine-learning-based soft-failure detection and identification in optical networks[C]// 2018 Optical Fiber Communications Conference and Exposition. IEEE/OSA, 2018: 1-3.
|
[10] |
VELASCO L , SHARIATI B , VELA A P ,et al. Learning from the optical spectrum:soft-failure identification and localization[C]// 2018 Optical Fiber Communications Conference and Exposition. IEEE/OSA, 2018: 1-3.
|
[11] |
PESIC J , LE ROUZIC E , BROCHIER N ,et al. Proactive restoration of optical links based on the classification of events[C]// 15th International Conference on Optical Network Design and Modeling. IEEE/OSA, 2011: 1-6.
|
[12] |
NATALINO C , SCHIANO M , DI GIGLIO A ,et al. Field demonstra tion of machine-learning-aided detection and identification of jamming attacks in optical networks[C]// 2018 European Conference on Optical Communication. IEEE/OSA, 2018: 1-3.
|
[13] |
LI Y , HUA N , YU Y ,et al. Light source and trail recognition via optical spectrum feature analysis for optical network security[J]. IEEE Communications Letters, 2018,22(5): 982-985.
|
[14] |
POINTURIER Y . Design of low-margin optical networks[J]. IEEE/OSA Journal of Optical Communications and Networking, 2017,9(1): A9-A17.
|
[15] |
CABALLERO F J V , et al . Machine learning based linear and nonlinear noise estimation[J]. IEEE/OSA Journal of Optical Communications and Networking, 2018,10(10): D42-D51.
|
[16] |
ZHU S , GUTTERMAN C L , MO W ,et al. Machine learning based prediction of erbium-doped fiber WDM line amplifier gain spectra[C]// 2018 European Conference on Optical Communication. IEEE/OSA, 2018: 1-3.
|
[17] |
HUANG Y ,et al. Dynamic mitigation of EDFA power excursions with machine learning[J]. Optics Express, 2017,25(3): 2245-2258.
|
[18] |
MO W , GUTTERMAN C L , LI Y ,et al. Deep-neural-network-based wavelength selection and switching in ROADM systems[J]. IEEE/OSA Journal of Optical Communications and Networking, 2018,10(10): D1-D11.
|
[19] |
JOHANNISSON P , AGRELL E . Modeling of nonlinear signal distortion in fiber-optic networks[J]. IEEE/OSA Journal of Lightwave Technology, 2014,32(23): 4544-4552.
|
[20] |
WANG X , SHEN G , ZHU Z ,et al. Benefits of sub-band virtual concatenation for enhancing availability of elastic optical networks[J]. IEEE/OSA Journal of Lightwave Technology, 2016,34(4): 1098-1110.
|
[21] |
SHEN G , GUO H , BOSE S K . Survivable elastic optical networks:survey and perspective (invited)[J]. Photonic Network Communications, 2016,31(1): 71-87.
|