EDFA gain profile prediction under off-target channel add/drop

We propose a hybrid EDFA model to estimate gain profile under off-target channel add and drop events. Our experimental results show 0.05dB RMSE off-target prediction with on-target data only, significantly reducing sample requirements.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/ofc.2025.tu2e.3
Citations
1
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
Field-Weighted Citation Impact
0.73
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article

EDFA gain profile prediction under off-target channel add/drop

Zhiping Jiang, Lan Yang, Lixian Wang
1 citations
Advancements in Semiconductor Devices and Circuit Design
0.73
article

EDFA gain profile prediction under off-target channel add/drop

Zhiping Jiang, Lan Yang, Lixian Wang
article en
1 citations

Abstract

We propose a hybrid EDFA model to estimate gain profile under off-target channel add and drop events. Our experimental results show 0.05dB RMSE off-target prediction with on-target data only, significantly reducing sample requirements.

Huawei Technologies (Canada) (CA)
Openalex Percentile: Top 28%
Advancements in Semiconductor Devices and Circuit Design
0.73
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EDFA gain profile prediction under off-target channel add/drop — Zhiping Jiang, Lan Yang, et al. · (2025) | TGRS Research Map | TGRS