Resource Scheduling Algorithm For Optimizing Physical Impairment And Energy Consumption In Space Division Multiplexing Elastic Optical Networks

With the popularization and development of high-speed mobile Internet,a large number of emerging services have posed unprecedented challenges to optical transmission network technology and effective resource scheduling algorithm.The elastic optical network based on optical orthogonal frequency division multiplexing technology can allocate spectrum resources and create sub-channels flexibly according to the service request rate.Become the next generation of intelligent optical network with great development potential and commercial value.In addition,the space division multiplexing technology can further increase the physical capacity of the optical transmission network from the spatial dimension.The combination of space division multiplexing and elastic optical network technology can not only allocate spectrum resources flexibly,but also meet the exponential growth of business demand.However,the introduction of new technologies will also bring the following new challenges: Firstly,the traditional resource allocation algorithm is no longer suitable for the new network background;Secondly,the spatial dimension of core allocation made the design of resource allocation algorithm more complex,and physical impairment will become the main cause of traffic congestion with the growth of traffic volume and transmission distance;Finally,the introduction of space division multiplexing elastic optical network technology and the explosive growth of traffic will inevitably lead to higher network energy consumption.Therefore,it is very important to design a reasonable and reliable resource allocation algorithm for optical transmission network.This thesis mainly studied the resource allocation algorithm for optimizing the inter-core crosstalk,nonlinear impairment and energy consumption in the space division multiplexing elastic optical network.The main work and contributions are as follows:Firstly,chapter 3 proposed a resource allocation algorithm that considered inter-core crosstalk and energy consumption in multi-core fiber.In the routing stage of the algorithm,a candidate path ordering formula is designed,which conjunction the energy efficiency grooming algorithm,it determined whether the current candidate path meet the grooming conditions and perform energy efficiency grooming operation when candidate path meet the conditions.Subsequently,a crosstalk optimization sub-algorithm combining static crosstalk avoidance strategy and dynamic crosstalk aware algorithm was proposedduring the spectrum and core allocation phase to reduce the impact of crosstalk on traffic transmission.The resource allocation algorithm proposed in this thesis take the primary goal of ensuring successful transmission of traffic requests,reduce the blocking probability of the transmission system,and based on this,perform energy efficiency grooming algorithm on candidate path with suitable conditions.By reducing the switching times and inherent energy consumption of hardware such as transceivers,and reducing the use of guard bandwidth,the purpose of reducing system energy consumption is achieved.Simulation results show that the algorithm proposed in this thesis can effectively reduce the impact of inter-core crosstalk,reduce traffic blocking probability,improve resource utilization rate,and reduce system energy consumption.Secondly,based on the research in Chapter 3,Chapter 4 further studied the physical impairment problem represented by inter-core crosstalk and nonlinear damage in multi-core fiber and proposed a physical impairment aware algorithm based on virtual auxiliary graph.In the routing phase,a set of candidate paths is obtained by constructing a virtual auxiliary graph,which reduced the complexity of the algorithm and found suitable candidate paths for traffic requests.In the spectrum core allocation stage,a spectrum fragment measurement formula considering physical impairment is designed and the physical impairment aware algorithm is used to judge and reduce the physical impairment.Simulation results show that this algorithm has a better effect on the improvement of blocking probability and resource utilization.