Planning And Optimization Of OTN Network Considering Physical Damage

With the scale of optical transport network is getting larger and larger,the distance of data transmission is getting longer and longer,and the transmission rate is getting faster and faster.Physical damage that was neglected in the optical network,now has a greater and greater impact on the transmission quality,and has become an important factor affecting the quality of service.In order to deal with the problem of optical signal transmission quality degradation,it is necessary to deploy regenerators in the optical network to restore the transmission quality.The regenerator placement problem is a classic research topic in the optical network research,and an effective solution of the regenerator placement problem can save system design cost.In order to deal with the regenerator placement problem,this paper proposes a Shared Regeneration Location Strategy,including the Optical Signal to Noise Ratio Deep Neural Network Calculation Model and the Shared Regeneration Location Algorithm.The Optical Signal to Noise Ratio Deep Neural Network Calculation Model can effectively solve practical complex problems by statistical processing of a large number of data on the premise of having very little prior knowledge,and solve two limitations in the traditional process of calculating optical signal to noise ratio:can not deal with various optical transmission scenarios and does not consider other factors besides the spontaneous emission noise of optical amplifier.The calc ulation results are more suitable to the actual optical signal to noise ratio and can better simulate the practical application scenarios.The Shared Regeneration Location Algorithm takes optical signal to noise ratio as the criterion for determining whether the optical path is optical reachable,and then deals with the regenerator placement problem.The algorithm mainly includes three parts:routing calculation of service requests,sharing of regenerated location nodes and building of auxiliary graph.The simulation results show that,compared with the greedy placement of regenerators,the shared regeneration location algorithm can reduce the number of regeneration times and regeneration nodes in two scenarios,effectively save the cost of system design,thus providing a strong theoretical support for the wide application of optical transport networks.