Modeling the Input Power Dependency in Transceiver BER-ONSR for QoT Estimation

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Publication Date: 3/24/2024

Event: OFC 2024

Reference: M1H.4: 1-3, 2024

Authors: Toru Mano, NTT Network Innovation Labs; Thomas Ferreira de Lima, NEC Laboratories America, Inc.; Yue-Kai Huang, NEC Laboratories America, Inc.; Giacomo Borraccini, NEC Laboratories America, Inc.; Ezra Ip, NEC Laboratories America, Inc.; Andrea D’Amico, NEC Laboratories America, Inc.; Zehao Wang, Duke University; Hideki Nishizawa, NTT Network Innovation Labs; Gil Zussman, Columbia University; Tingjun Chen, Duke University; Ting Wang, NEC Laboratories America, Inc.; Koji Asahi, NEC Corporation; Daniel Kilper, CONNECT Centre, Trinity College; Vittorio Curri, Politecnico di Torino; Koichi Takasugi, NTT Network Innovation Labs

Abstract: We propose a method to estimate the input power dependency of the transceiver BER-OSNR characteristic. Experiments using commercial transceivers show that estimation error in Q-factor is less than 0.2 dB.

Publication Link: https://www.ofcconference.org/en-us/home/schedule/?day=Monday#m1h.4