Fast and Accurate QoT Prediction for SDM Networks via Analytical Modeling
An analytical model that utilizes the minimum mean square error (MMSE) equalization matrix is proposed to accurately estimate mode-dependent loss (MDL)-induced signal-to-noise ratio (SNR) penalties with substantially reduced computational cost. The method achieves an estimation error within 0.2 dB compared with conventional digital signal processing (DSP)-based estimation, while providing significant speed-ups for strong-coupling space-division multiplexing (SDM) optical systems. An <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\alpha$</tex-math></inline-formula> correction factor is incorporated to account for non-uniform distributed noise loading, further enhancing robustness under realistic network conditions. Numerical validations over diverse system configurations confirm the effectiveness of the proposed method, demonstrating its potential for real-time optimization and planning in dynamic SDM optical networks.
Authors
- Zhixue He (ORCID: https://orcid.org/0000-0001-8533-2247)
- Weisheng Hu (ORCID: https://orcid.org/0000-0002-6168-2688)
- Tonghui Ji (ORCID: https://orcid.org/0000-0003-3453-0248)
- Juhao Li (ORCID: https://orcid.org/0000-0002-4913-6844)
- Junpeng Liang (ORCID: https://orcid.org/0000-0001-8156-1560)
- Zhaopeng Xu (ORCID: https://orcid.org/0000-0001-6476-9001)
- Yuchao Yang (ORCID: https://orcid.org/0000-0003-4674-4059)
- Jinlong Wei (ORCID: https://orcid.org/0000-0001-7714-5003)
- Honglin Ji (ORCID: https://orcid.org/0000-0003-3437-8573)
- Linsheng Fan (ORCID: https://orcid.org/0009-0002-7259-084X)
- Qi Wu (ORCID: https://orcid.org/0000-0002-1196-226X)
- Gang Qiao (ORCID: https://orcid.org/0009-0005-6924-0437)
- Jianwei Tang (ORCID: https://orcid.org/0009-0007-6506-0046)
- Lulu Liu (ORCID: https://orcid.org/0000-0001-5227-7923)
- Zhongliang Sun (ORCID: https://orcid.org/0000-0002-5559-4892)
- Shangcheng Wang (ORCID: https://orcid.org/0009-0000-6791-8519)
Institutions
- Hong Kong Polytechnic University (HK)
- Peking University (CN)
- Peng Cheng Laboratory (CN)
Publication Details
- Journal
- Journal of Lightwave Technology
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1109/jlt.2025.3621466
- Primary Topic
- Software-Defined Networks and 5G
- Type
- article
- Field-Weighted Citation Impact
- 0.00