| As a major international communication carrier,undersea optical cable carries 95%of the global communication data transmission.However,the construction of undersea cable communication system is not only complicated,but also very high cost,so it is necessary to carry out detailed planning and design before the construction of the system,so that the undersea cable communication system can meet the transmission capacity and transmission performance requirements while saving costs as much as possible.Under traditional conditions,engineers in the planning of undersea optical cable communication system often based on experience to determine several groups of schemes,and then compare their transmission performance and cost input,choose the relatively best group of schemes.However,with the development of communication equipment and technology,design parameters such as the optional modulation format and the number of optical fibers are also increasing,which leads to a large number of alternative schemes,and it is impossible to quickly determine the optimal scheme.Therefore,it is very important to establish a cost optimization model considering transmission performance,transmission capacity,power supply capacity and other constraints and to give a fast planning algorithm.In this paper,the end-to-end and trunk-branch undersea optical cable communication systems are taken as the research object,the cost optimization model is established,the optimization algorithm is used to plan and design the system,and the system design scheme is given,including the span distance,the type of fiber,the number of optical fiber pairs,the output power of repeater,the modulation format and the number of channels.The main research contents of this paper are as follows:(1)The cost optimization models of end-to-end and trunk-branch undersea cable communication systems are established.The whole life cycle cost of submarine cable communication system is analyzed,and the research scope of this paper is determined to be the construction cost of the system,and the cost model of undersea cable communication system including the purchase and installation cost of submarine cable,optical fiber,repeater,branch and SLTE is given.An end-to-end system cost optimization model with the cost of end-to-end undersea optical cable communication system as the optimization objective and the transmission capacity,transmission performance and feed voltage as the constraint conditions was established,and the cost of trunk-branch undersea optical cable communication system as the optimization objective.A cost optimization model of trunk-branch undersea optical cable system with the constraint of non-influence of transmission capacity,transmission performance,feed voltage and wavelength communication.(2)Combined with the characteristics of the cost optimization model of end-to-end undersea optical cable communication system,a cascaded genetic lexicography method was proposed to optimize the model.Six groups of undersea cable system planning examples were selected to compare the planning results of cascade genetic-lexicographical method and total traversal method.It was found that the relative error of the two algorithms’ planning results was less than 0.4%,and the number of operations of genetic algorithm was much less than that of total traversal method,only 1/100 of that of total traversal method.By changing the range of study variables,it is found that the number of operations of genetic algorithm is little affected by the range of variables.The accuracy and time efficiency of the cascade-genetic lexicography are proved.(3)According to the characteristics of the cost optimization model of the trunk-branch undersea cable system,the solution of the model is divided into two problems.One is a combinatorial optimization problem,which is related to the number of optical fiber pairs,the output power of the repeater,the trunk distance of the trunk segment and the branch segment,and the type of fiber.The solution is solved by adaptive multipopulation genetic algorithm.The other is wavelength allocation,which is related to the number of wavelengths allocated to each communication combination and the modulation format.A serialized wavelength allocation method is proposed to solve the problem.By comparing the programming results of simple genetic algorithm,multi-population genetic algorithm and adaptive multi-population genetic algorithm,it is found that the overall cost of the adaptive multi-population genetic algorithm is lower,and the total cost of the adaptive multi-population genetic algorithm is 2.8%and 2.3%lower than that of the basic genetic algorithm. |
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