Artificial neural network based link OSNR estimation with a network approach
作者: Zeyuan YangRentao GuDajiang WangYanxia TanHongbiao LiYuefeng Ji
作者单位: Beijing Univ. of Posts and Telecommunications (China);;ZTE Corp. (China);;Huazhong Univ. of Science and Technology (China);;Shanghai Jiao Tong Univ. (China);;Jinan Univ. (China)
论文集英文名称: Other Conferences
来源数据库: SPIE-the International Society for Optical Engineering
DOI: 10.1117/12.2505502
原始语种摘要: The performance monitoring of fiber-optics communication is an important task in nowadays communication system. Link optical noise-to-signal ratio (OSNR) is one of the most important parameters that affect the performance of optical networks. The traditional internal measurement method may increase the network construction cost and operation complexity. To overcome these drawbacks, an ANN based link OSNR estimation method with external measurement is proposed in this paper. Route level OSNR values are measured at the edge nodes and are used for link level OSNR estimation with the trained ANN. Besides, a heuristic method for route set generation is proposed to generate the route set that introduce fewer extra network load. The experiment results demonstrate that the ANN based method can...
全文获取路径: SPIE 

  • link 通信信道
  • network 网络
  • estimation 估计
  • optical 光学的
  • route 航线
  • communication 通信
  • neural 神经系统的
  • intelligent 有理性的
  • monitoring 监视
  • complexity 错综性