Research On Resource Allocation In Hybrid Protocol Quantum Optical Networks

Quantum key distribution(QKD)technology can realize the security key sharing between two communication nodes,which can achieve the theoretical information theory security.With the development of QKD technology,the integration with traditional optical network will promote the practical application of QKD technology.In addition,wavelength division multiplexing(WDM)technology and multi-core fiber(MCF)technology c based on space division multiplexing can well solve the network capacity problem.In the journey of realizing safe and practical quantum communication,various theoretical concepts and experimental schemes of QKD protocols have been proposed and verified,and their performance in terms of long-range transmission capability and security varies.In the face of the diversity of service requirements in the network,a hybrid QKD optical network composed of multiple protocols can give full play to the advantages of each protocol and provide better communication services.After a comparative analysis of various protocols,this paper focuses on QKD optical networks based on BB84 and sending or not sending-QKD(SNS-QKD)protocols.This paper mainly focuses on the three problems of noise interference,resource competition and key generation and consumption imbalance in the hybrid protocol QKD optical network.We propose an influence-based quantum channel allocation scheme in hybrid protocol QKD optical network,and propose a routing,spectrum and core allocation(RSCA)scheme allocation based on the key requirement rate with the goal of balancing the key supply and requirement based on this scheme.The main innovative works are as follows:(1)An influence-based quantum channel allocation scheme in hybrid protocol QKD optical network.In this paper,in order to solve the problem of noise and resource competition in hybrid protocol QKD optical networks,a quantum channel allocation scheme based on multilink influence rate(MIR)is proposed.This scheme not only effectively reduces the interference of noise to quantum signal,but also reduces the resource crowding between multi-link QKD,and greatly improves the secure key rate(SKR)in the network.First of all,in order to expand the application range of SNS-QKD in network without reducing its security,this paper combines quantum optical switching technology and SNS-QKD to put forward a quantum optical switching node scheme,and to model multi-link channel noise with the idea of piecework.Further,in order to reduce the resource competition problem of multi-link QKD,the concept of impact is defined to evaluate the degree of mutual influence of each wavelength in the resource allocation of multi-link,and then the wavelength allocation scheme and core allocation scheme for SNS-QKD and BB84 quantum channels are proposed.The simulation results show that in the case of the same traffic in the network,compared with the first fit algorithm,MIR algorithm can increase the average SKR of the link by 101.72%,and compared with the minimum noise algorithm,it can increase the SKR by 8.89%.(2)A requirement-based RSCA allocation scheme in hybrid protocol QKD optical network.In order to reduce the impact of unbalance of key supply and requirement on data services,based on MIR scheme,a requirement rate-RSCA(RR-RSCA)scheme based on key requirement is proposed.The RR-RSCA scheme dynamically adjusts the routing of data services and the allocation of quantum signal transmission resources according to the state of the remaining key in the network.The algorithm can balance the generation and consumption of quantum keys to reduce the service congestion caused by insufficient key quantity.In order to improve the practicability of the algorithm,we also propose a QKD receiver deployment scheme,which can greatly reduce the deployment cost in the network.Based on the deployment scheme,we simulate the proposed algorithm.The results show that for two different classes of services,the RR-RSCA algorithm can reduce 32.07%and 24.48%blocking probability respectively compared with MIR algorithm without considering supply and requirement.