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Accuracy of EGN model in ultra-wideband optical fiber communication systems

Liu, Z; Xu, T; Ding, J; Zhang, Y; Li, M; Xu, T; Liu, T; (2021) Accuracy of EGN model in ultra-wideband optical fiber communication systems. In: Li, W and Hofmann, WH and Su, Y, (eds.) Semiconductor Lasers and Applications XI. SPIE: Nantong, Jiangsu, China. Green open access

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Abstract

The efficient and accurate evaluation of the transmission performance of high-capacity optical communication systems has always attracted significant research attentions. The enhanced Gaussian noise (EGN) model is considered as an excellent solution to predict the system performance taking into account linear and nonlinear transmission impairments. Since the conventional form of the EGN model is complicated and intractable for a fast computation, the closed-form simplification has been regarded as a direction to significantly reduce the computational complexity. However, the accuracy of such a closed-form EGN model becomes a main concern in the application of ultra-wideband optical communication systems. In this work, we have investigated the accuracy of the closed-form EGN model for ultra-wideband optical fiber communication systems, where the performance of the system using electronic dispersion compensation, multi-channel nonlinearity compensation and full-field nonlinearity compensation has been evaluated in terms of symbol rate, number of channels and signal power. Our work will provide an insight on the application of the EGN model in next-generation ultra-wideband long-haul optical fiber communication networks.

Type: Proceedings paper
Title: Accuracy of EGN model in ultra-wideband optical fiber communication systems
Event: SPIE/COS Photonics Asia, 2021
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.2601076
Publisher version: https://doi.org/10.1117/12.2601076
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10141116
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