Experimental Impact of Power Re-Optimization in a Mesh Network

被引：0

作者：

Yang, X. ^{[1
]}

Ferrari, A. ^{[1
]}

Morette, N. ^{[1
]}

Le Gac, D. ^{[1
]}

Landero, S. Escobar ^{[1
]}

Charlet, G. ^{[1
]}

Pointurier, Y. ^{[1
]}

机构：

[1] Huawei Tech France, Paris Res Ctr, Opt Comm Tech Lab, Paris, France

来源：

2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC) | 2022年

关键词：

MODEL;

D O I：

暂无

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

We experimentally demonstrate the SNR degradation of existing services induced by loading new services in the network, and mitigate this degradation via 2 different power re-optimization strategies: static End-of-Life strategy and dynamic real-time strategy, yielding a 3.2 dB gain on the worst SNR. (C) 2022 The Author(s)

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页数：4

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