| With the explosive development of network business and the trend of integration,transmission networks rapidly develop and they are greatly important for the infrastructure construction and optimization.In this paper,the optimization strategies of transmission network infrastructure were studied,including the optical fiber layering,routing selection,convergence area division,and loeation optimization strategy of machine rooms.Previous optimization work mainly uses practical experience from successful cases and project applications of operators in developed regions but it lacks theoretical support.Aiming at the above problems,this paper uses mathematical modeling method to make detailed research on development prediction of traffic demands,layering and networking of optical fiber networks,division of convergence area,and selection of node machine room.And several optimized strategies were also proposed by combining the mathematical model and the practical experience,which provide a relatively complete scientific method and theoretical support for future optimization work.In terms of optimized strategies,the current wireless service,home customer service,and group business are analyzed to calculate the bandwidth requirements for the future metropolitan area network.Considering optical fiber network optimization,this paper analyzes the optimization strategy of optical cable network by using public transport network of the same transport type.This paper applies Hamilton circuit minimization modeling genetic algorithm to solve the optimal networking problems and it summarizes the networking schemes of optical fiber networks.In the division of convergence area,comnunity algorithn is used to calculate the best area range.Finally,according to the needs of network development,the center of gravity method is used to select the location of the node machine rooms.In addition,a lot of practieal project experiences is also combined in the optimized strategies. |
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