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作 者:Ding Junjie Wang Chen Ju Zhou Zhu Bowen Sang Bohan Liu Bo Yu Jianjun
机构地区:[1]Key Laboratory for Information Science of Electromagnetic Waves(MoE),Fudan University,Shanghai 200433,China [2]Nanjing University of Information Science and Technology,Nanjing 210044,Jiangsu,China
出 处:《激光与光电子学进展》2023年第7期430-434,共5页Laser & Optoelectronics Progress
基 金:国家重点研发计划(2018YFB1800900);国家自然科学基金(61935005,61720106015,61835002,62127802)。
摘 要:We experimentally demonstrate an 80-channel wavelength division multiplexing(WDM)transmission system over a 400 km fiber link.Raman amplification results in a non-flat WDM signal spectrum.Therefore,bit allocation optimization is used to enable different channels to carry different order quadrature amplitude modulation signals according to their optical signal-noise-ratios.A neural network equalizer based on a convolutional neural network(CNN),long shortterm memory(LSTM)network,and fully connected(FC)layer structure is adopted in Rx digital signal processing,in which CNN is used for characteristic extraction,LSTM is used for equalization and demodulation,and FC layers are used for output.After transmission,the bit error rate of all channels is below the 25%soft-decision forward error correction threshold,and the line rate reaches 53.76 Tbit/s.
关 键 词:wavelength division multiplexing transmission Raman amplification bit allocation optimization neural network equalizer
分 类 号:TN929.1[电子电信—通信与信息系统]
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