{"ID":2857369,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.09047","arxiv_id":"2510.09047","title":"Transfer Learning-Enabled Efficient Raman Pump Tuning under Dynamic Launch Power for C+L Band Transmission","abstract":"We propose a transfer learning-enabled Transformer framework to simultaneously realize accurate modeling and Raman pump design in C+L-band systems. The RMSE for modeling and peak-to-peak GSNR variation/deviation is within 0.22 dB and 0.86/0.1 dB, respectively.","short_abstract":"We propose a transfer learning-enabled Transformer framework to simultaneously realize accurate modeling and Raman pump design in C+L-band systems. The RMSE for modeling and peak-to-peak GSNR variation/deviation is within 0.22 dB and 0.86/0.1 dB, respectively.","url_abs":"https://arxiv.org/abs/2510.09047","url_pdf":"https://arxiv.org/pdf/2510.09047v2","authors":"[\"Jiaming Liu\",\"Rui Wang\",\"JinJiang Li\",\"Hong Lin\",\"Jing Zhang\",\"Kun Qiu\"]","published":"2025-10-10T06:29:07Z","proceeding":"eess.SP","tasks":"[\"eess.SP\",\"eess.SY\"]","methods":"[\"Transformer\"]","has_code":false}
