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METHOD AND SYSTEM FOR PREVENTING FAILURE IN ARTIFICIAL INTELLIGENCE-BASED TRANSMISSION QUALITY PREDICTION

机译:防止基于人工智能的传输质量预测失败的方法和系统

摘要

The present invention relates to a method for preventing the failure in artificial intelligence-based transmission quality prediction, comprising: a method for distributing an optical signal-to-noise ratio margin for a working optical channel and a method for distributing the optical signal-to-noise ratio margin for a protective optical channel, wherein according to the method for distributing the optical signal-to-noise ratio margin for the working optical channel, the number of first frequency slots meeting a flow demand and the consumable margin of the working optical channel are calculated; according to the method for distributing the optical signal-to-noise ratio margin for the protective optical channel, the number of second frequency slots meeting the flow demand and the consumable margin of the protective optical channel are calculated; and according to the number of the first frequency slots and the number of the second frequency slots, the utilization rate of spectrum resources is evaluated, and according to the consumable margin of the working optical channel, the reliability of the optical channel is evaluated. The present invention is stable in practical network application.
机译:本发明涉及一种防止基于人工智能的传输质量预测的故障的方法,包括:一种用于将光信号对噪声比裕度分配工作光通道的方法和用于将光信号分配的方法 - 用于保护光通道的Noise比率裕度,其中根据用于分配用于工作光通道的光学信噪比比率裕度的方法,满足流量需求的第一频率槽的数量和工作光学的消耗余量频道计算;根据用于分布用于保护光通道的光学信噪比裕度的方法,计算满足流量需求和保护光通道的消耗裕度的第二频率槽的数量;并且根据第一频率槽的数量和第二频率时隙的数量,评估频谱资源的利用率,并且根据工作光通道的消耗余量,评估光通道的可靠性。本发明在实际网络应用中是稳定的。

著录项

  • 公开/公告号WO2021114402A1

    专利类型

  • 公开/公告日2021-06-17

    原文格式PDF

  • 申请/专利权人 SOOCHOW UNIVERSITY;

    申请/专利号WO2019CN128300

  • 发明设计人 SHEN GANGXIANG;GUO NINGNING;

    申请日2019-12-25

  • 分类号H04B10/079;

  • 国家 CN

  • 入库时间 2022-08-24 19:27:48

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