Accurate Prediction Of Quality Of Transmission With Dynamically Configurable Optical Impairment Model

Martin Bouda,Shoichiro Oda,Olga Vasilieva,Masatake Miyabe,Setsuo Yoshida,Toru Katagiri,Yasuhiko Aoki,Takeshi Hoshida,Tadashi Ikeuchi

2017 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC)（2017）

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摘要

We propose a dynamically configurable optical impairment model for a physical layer abstraction enabling physical parameters learning in multi-vendor networks. We experimentally demonstrate quality of transmission prediction in mesh networks with 0.6 dB Q-factor accuracy.

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关键词

Q-factor accuracy,mesh networks,multivendor networks,physical parameter learning,physical layer abstraction,dynamically configurable optical impairment model,quality-of-transmission

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