Telecommunications Science ›› 2019, Vol. 35 ›› Issue (9): 58-68.doi: 10.11959/j.issn.1000-0801.2019206

• research and development • Previous Articles     Next Articles

Multi-level and multi-index planning and evaluation method for optical network

Xiaohong CAO1,Siya XU1(),Guiping ZHOU2,·ingjie WANG3,Botao ·U3   

  1. 1 China State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China
    2 State Grid Liaoning Electric Power Co.,Ltd.,Shenyang 110006,China
    3 Beijing Guodiantong Network Technology Co.,Ltd.,Beijing 100070,China
  • Revised:2019-09-02 Online:2019-09-20 Published:2019-09-30
  • Supported by:
    The National Key Research and Development Program of China(2016YFB0901200)


The key indicators affecting business reliability were analyzed in depth,and a network planning model for reliability and construction cost was established.Then an adaptive immune algorithm was designed to solve the network planning model.Then,a multi-level and multi-index oriented evaluation model for network planning method was established,and the weights of the indexes were obtained by using neural network algorithm,so as to achieve a comprehensive and effective evaluation of the network planning method.The simulation results show that the multi-level and multi-index oriented optical network planning and evaluation method proposed can improve the utilization of optical cable resources and the site ring rate,reduce the network construction cost,ensure the network reliability,and help to improve the efficiency and quality of network operation and maintenance.

Key words: optical network, network planning, evaluation model, adaptive immune algorithm, neural network algorithm

CLC Number: 

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