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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