Telecommunications Science ›› 2019, Vol. 35 ›› Issue (6): 78-88.doi: 10.11959/j.issn.1000-0801.2019092

• research and development • Previous Articles     Next Articles

A QoS-based network planning method for power fiber to the home

SHAO Shuai1,2,SHANG Zhijun1,2(),WANG Zhongfeng1,2,XIN Guoliang3,LI Yueyue4,KONG Xiangyu5,PENG Xujing6   

  1. 1 Shenyang Institute of Automation Chinese Academy of Sciences,Shenyang 110016,China
    2 Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110016,China
    3 State Grid Liaoning Electric Power Supply Co.,Ltd.,Shenyang 110004,China
    4 State Grid Shenyang Electric Power Supply Company,Shenyang 110811,China
    5 Beijing Guodiantong Network Technology Co.,Ltd.,Beijing 100070,China
    6 China State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China
  • Revised:2019-04-23 Online:2019-06-20 Published:2019-06-20
  • Supported by:
    The National Key Research and Development Program of China(2016YFB0901200)

Abstract:

A QoS-based network planning method for power fiber to the home was proposed.Firstly,the distribution structure of different buildings was combined to carry out targeted ODN line path design.Secondly,in the ONU packet cluster planning stage,in order to meet the QoS requirements of multi-service differentiation,the communication cost as the optimization goal was uesd,and the optimization problem model was established with the constraints of access capacity,reliability and delay.At the same time,intelligent algorithms were used to solve the optimization problem model.Finally,the optical path attenuation of the planned network was calculated to meet the actual application needs.The simulation results show that the proposed QoS-based network planning method for power fiber to the home can save network construction cost while ensuring service reliability and delay requirements.

Key words: power fiber to the home, OPLC, network planning, QoS, network reliability

CLC Number: 

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