Resource allocation method for key supply and demand matching in space division multiplexing quantum optical network

Abstract

The invention discloses a resource allocation method for key supply and demand matching in a space division multiplexing quantum optical network. The method is suitable for a metropolitan area quantum optical network for quantum key distribution and classical optical signal fusion transmission of multi-core optical fibers in regular hexagon arrangement. The method mainly solves two problems in the metropolitan area quantum optical network, namely the problem of mismatching of key generation and consumption in the quantum optical network based on quantum key distribution and the problem of resource allocation in the common-fiber transmission process of classical signals and quantum signals. Network node quantum key distribution equipment under a real-time encryption scene and an accumulated encryption scene is planned and deployed, and on the basis, collaborative resource allocation is performed on classical signals and quantum signals, so that key supply and consumption matching under the real-time key encryption scene and the accumulated key scene in the metropolitan quantum optical network is realized; and high-performance transmission of quantum and classical signals is realized. Therefore, theoretical research and practical application of the metropolitan quantum optical network are promoted.

Description

Technical Field

[0001] This patent relates to the field of quantum communication, and in particular to metropolitan quantum optical networks that use quantum key distribution. The method mainly provides a node quantum transceiver equipment planning method and a fiber core wavelength allocation method for quantum signals and classical signals for quantum optical networks using multi-core optical fibers, which can effectively reduce deployment costs, improve security, and synergistically improve the performance of quantum signals and classical signals. Background Art

[0002] Quantum Key Distribution (QKD) is based on the principles of quantum mechanics and can resist attacks from high-speed computing devices such as quantum computers. It is a feasible way to solve the problem of communication security. With the development of QKD technology, it is a development trend to integrate QKD with traditional optical networks and build a high-speed, large-capacity quantum optical metropolitan area network using multi-core optical fibers.

[0003] The quantum optical metropolitan area network has the problem of difficult balance between key supply and consumption, and difficult coordination of quantum signal and classical signal transmission performance. If the supply of quantum keys is greater than the consumption, it will lead to a waste of node equipment resources; if the supply of quantum keys is less than the demand, it will lead to the failure of encryption of services and reduce security. During the transmission of quantum signals and classical signals in a multi-core optical fiber network, quantum signals are easily interfered by classical signal noise, resulting in reduced quantum signal performance; and classical signals are also interfered by the noise of other classical signals, resulting in performance degradation.

[0004] At present, there are few studies on the resource allocation problem of key supply and demand matching in quantum optical networks. It is necessary to design a node equipment planning method that can match the key supply and consumption rate and a fiber core wavelength resource allocation method that takes into account the performance of classical and quantum signals. Summary of the invention

[0005] This patent proposes a resource allocation method for key supply and demand matching in a space-division multiplexing quantum optical network for the scenario of multi-core optical quantum metropolitan area network. The main goal is to match key supply and consumption in the network and suppress quantum signal and classical signal noise to improve performance. It includes three technical points:

[0006] 1. A node quantum key distribution device planning method for key supply and demand matching in real-time key encryption scenarios is proposed, which is suitable for real-time key encryption scenarios where the key generation rate is always greater than the key consumption rate;

[0007] 2. A node quantum key distribution device planning method for key supply and demand matching in cumulative key encryption scenarios is proposed, which is suitable for cumulative key encryption scenarios where the key generation rate and key consumption rate are dynamically balanced;

[0008] 3. A fiber core wavelength allocation method for layered interleaving of classical and quantum signals is proposed, which is suitable for optical metropolitan area networks using regular hexagonal multi-core optical fibers as transmission media.

[0009] The first technical point is described in detail as follows:

[0010] A node quantum key distribution equipment planning method for key supply and demand matching in real-time key encryption scenarios is proposed. The equipment planning method is divided into five steps.

[0011] Step 1: Use the formula Calculate the estimated network traffic volume A suf , where A is the actual network traffic, P is the estimation coefficient, which is 0.999;

[0012] Step 2: Use the formula Calculate the traffic volume A of link i linki , where N is the number of nodes in the network.

[0013] Step 3: Use the formula Calculate the average key consumption rate η, where sl is the number of security levels of the service, a i is the proportion of the number of businesses at the i-th security level, η i is the key consumption rate at the i-th security level.

[0014] Step 4: Use the formula Calculate the number of QKD transceiver devices required at both ends of each link, where μ i is the quantum key generation rate when there is one quantum channel left and the rest of the available resources are occupied by classical signals under the adopted resource allocation algorithm.

[0015] Step 5: Each node accumulates the number of QKD transceiver devices required at both ends of the link connected to it to obtain the number of QKD transceiver devices required by each node.

[0016] The second technical point is specifically described as follows:

[0017] A node quantum key distribution equipment planning method for key supply and demand matching in cumulative key encryption scenarios is proposed. The equipment planning method is divided into five steps.

[0018] Step 1: Use the formula Calculate the estimated network traffic volume A suf , where A is the actual network traffic, and P is the estimation coefficient, which is 0.99.

[0019] Step 2: Use the formula Calculate the traffic volume A of link i linki, where N is the number of nodes in the network.

[0020] Step 3: Use the formula Calculate the average key consumption rate η, where sl is the number of security levels of the service, a i is the proportion of the number of businesses at the i-th security level, η i is the key consumption rate under the i-th security level.

[0021] Step 4: Use the formula Calculate the number of QKD transceiver devices required at both ends of each link, where μ iA A is allocated according to the adopted resource allocation algorithm linki The average quantum key generation rate of the remaining available quantum channels after classical signals.

[0022] Step 5: Each node accumulates the number of QKD transceiver devices required at both ends of the link connected to it to obtain the number of QKD transceiver devices required by each node.

[0023] The third technical point is specifically described as follows:

[0024] A core wavelength allocation method for classical and quantum signals is proposed, which is applicable to any regular hexagonal multi-core optical fiber. The allocation method consists of three steps.

[0025] Step 1: Layer the cores of the regular hexagonal multi-core optical fiber from the outside to the inside, and number them in a clockwise spiral from small to large. The cores of the odd-numbered layers are used as classical signal cores, and the cores of the even-numbered layers are used as quantum signal cores. The available frequency slot number is denoted by F.

[0026] Step 2: The Q quantum channels to be allocated are arranged in the quantum signal cores according to the core numbers from small to large, with priority given to occupying all quantum signal cores, and the frequencies are allocated from high to low. The number of frequency slots occupied by the quantum signal is recorded as f.

[0027] Step 3: The odd-numbered fiber cores are alternately allocated as forward classical signal cores and backward classical signal cores. The first (Ff) frequency slots in the forward classical signal core allow the allocation of forward classical signals, and the first (Ff) frequency slots in the backward classical signal core allow the allocation of backward classical signals. If the last layer has only one core, it is allocated as a forward-backward classical signal core, of which the first (Ff) / 2 frequency slots allow the allocation of forward classical signals, and the remaining frequency slots in the first (Ff) frequency slots allow the allocation of backward classical signals. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a schematic diagram of a resource allocation method for matching key supply and demand in a space-division multiplexing quantum optical network described in the present method.

[0029] Figure 2 Schematic diagram of a method for planning node quantum key distribution equipment for key supply and demand matching in the real-time key encryption scenario described in this method.

[0030] Figure 3 Schematic diagram of a method for planning node quantum key distribution equipment for key supply and demand matching in the real-time key encryption scenario described in this method.

[0031] Figure 4 Schematic diagram of the fiber core wavelength allocation method for layered interleaving of classical and quantum signals described in this method. DETAILED DESCRIPTION

[0032] In order to make the purpose, technical method and advantages of the present invention more clear, the following Figure 1 , Attachment Figure 2 , Attachment Figure 3 , Attachment Figure 4 It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0033] In a specific embodiment of the resource allocation method for space-division multiplexing quantum optical network key supply and demand matching proposed in this patent, a node quantum key distribution device planning method for key supply and demand matching in a real-time key encryption scenario is as shown in the attached Figure 2 The specific planning method is as follows:

[0034] As attached Figure 2 Taking the 7-node network topology shown in (a) as an example, the network traffic A is 600 Erlang. First, we use the formula Calculate the estimated network traffic volume A suf =678Erlang, P is the estimated coefficient, which is 0.999. Then, by the formula Calculate the traffic volume A of each link in turn linki , as attached Figure 2 (a). By formula Calculate the average key consumption rate η for each service through the formula Calculate the number of QKD transceiver devices required at both ends of each link, where μ i is the quantum key generation rate when there is one quantum channel left and the remaining available resources are occupied by classical signals under the adopted resource allocation algorithm. linki The situation is as attached Figure 2 Finally, each node accumulates the number of QKD transceiver devices required at both ends of the link connected to it, and the number of QKD transceiver devices required by each node is obtained. The calculated result is shown in the attached figure. Figure 2 (c) as shown.

[0035] In a specific embodiment of this patent, a node quantum key distribution device planning method for key supply and demand matching in a cumulative key encryption scenario is as shown in the attached Figure 3 The specific planning method is as follows:

[0036] As attached Figure 3 Taking the 7-node network topology shown in (a) as an example, the network traffic A is 600 Erlang. First, we use the formula Calculate the estimated network traffic volume A suf =659Erlang, P is the estimated coefficient, which is 0.99. Then, by the formula Calculate the traffic volume A of each link in turn linki , as attached Figure 3 (a). By formula Calculate the average key consumption rate η for each service through the formula Calculate the number of QKD transceiver devices required at both ends of each link, where μ iA A is allocated according to the adopted resource allocation algorithm linki After the classical signal, the average quantum key generation rate of the remaining available quantum channels. linki The situation is as attached Figure 3 Finally, each node accumulates the number of QKD transceiver devices required at both ends of the link connected to it, and the number of QKD transceiver devices required by each node is obtained. The calculated result is shown in the attached figure. Figure 3 (c) as shown.

[0037] In a specific embodiment of this patent, a fiber core wavelength allocation method for layered interleaving of classical and quantum signals is as shown in the attached Figure 4 The specific allocation method is as follows:

[0038] Taking 7-core optical fiber as an example, first divide the cores of the regular hexagonal multi-core optical fiber into layers from the outside to the inside and number them from small to large in a clockwise spiral, as shown in the figure. Figure 4 As shown in (a), the fiber cores 1, 2, 3, 4, 5, and 6 are the first layer and are assigned as classical signal cores, and the fiber core 7 is the second layer and is used as a quantum core. Figure 4 (b) The number of available frequency slots in the quantum fiber core is F, as shown in the attached Figure 4 Then the Q quantum channels to be allocated are assigned in the quantum signal fiber cores according to the fiber core number from small to large, and all quantum signal fiber cores are occupied first. The frequency is allocated from high to low. The number of frequency slots occupied by the quantum signal is recorded as f, as shown in the attached figure. Figure 4 Finally, the odd-numbered layers, i.e., the first layer of fiber cores, are alternately allocated as forward classical signal cores and backward classical signal cores, as shown in the attached figure. Figure 4As shown in (c), cores 1, 3, and 7 are allocated as backward classical cores, and cores 2, 4, and 6 are allocated as forward classical cores. The first (Ff) frequency slots in the forward classical signal core allow the allocation of forward classical signals, and the first (Ff) frequency slots in the backward classical signal core allow the allocation of backward classical signals, as shown in the attached figure. Figure 4 (d) as shown.

Claims

1. A resource allocation method for matching key supply and demand in a space-division multiplexing quantum optical network, which mainly solves the problem of mismatch between key generation and consumption in a quantum optical network based on quantum key distribution (QKD), and the resource allocation problem in the process of co-fiber transmission of classical signals and quantum signals; in view of the problem of mismatch between key generation and consumption in a quantum optical network, the number of QKD transceivers at each node is planned to save deployment costs and improve encryption success rate; in view of the demand for real-time key encryption scenarios where the key generation rate is always greater than the key consumption rate, a larger estimate of the business volume and a lower estimate of the average key rate are made during the planning process to meet the demand for key supply and demand matching in real-time encryption scenarios; In view of the demand for cumulative key encryption scenarios with dynamic balance between key generation rate and key consumption rate, a relatively large estimate of the business volume and an actual estimate of the average key rate are made during the planning process to meet the demand for key supply and demand matching in real-time encryption scenarios. After the deployment of QKD transceivers at each node of the network, the quantum channels on each link in the network are determined. At this time, the resource allocation problem in the process of co-fiber transmission of classical and quantum signals needs to be solved. In view of the resource allocation problem in the process of co-fiber transmission of classical and quantum signals, low-noise and high-quality quantum encryption communication is achieved in quantum optical networks by collaboratively optimizing the performance of quantum and classical signals. The theoretical research and practical application of metropolitan quantum optical networks are promoted, and the following features are featured: A. A node quantum key distribution device planning method for key supply and demand matching in a real-time key encryption scenario is proposed, which is applicable to a real-time key encryption scenario where the key generation rate is always greater than the key consumption rate, and is characterized in that it includes the following steps: S1. Through the formula Calculate the estimated network traffic volume A suf , where A is the actual network traffic, P is the estimation coefficient, which is 0.999; S2, through the formula Calculate the link traffic A of the i-th link linki , where N is the number of nodes in the network; S3, through the formula Calculate the average key consumption rate η, where sl is the number of security levels of the service, a i is the proportion of the number of businesses at the i-th security level, η i is the key consumption rate at the i-th security level; S4, through the formula Calculate the number of QKD transceiver devices required at both ends of each link, where μ i is the quantum key generation rate when there is one quantum channel left and the remaining available resources are occupied by classical signals under the adopted resource allocation algorithm; S5. Each node accumulates the number of QKD transceiver devices required at both ends of the link connected to it, and obtains the number of QKD transceiver devices required by each node; B. A node quantum key distribution device planning method for key supply and demand matching in a cumulative key encryption scenario is proposed, which is suitable for a cumulative key encryption scenario in which the key generation rate and the key consumption rate are dynamically balanced, and is characterized in that it includes the following steps: S1. Through the formula Calculate the estimated network traffic volume A suf , where A is the actual network traffic, P is the estimation coefficient, which is 0.99; S2, through the formula Calculate the traffic volume A of the i-th link linki , where N is the number of nodes in the network; S3, through the formula Calculate the average key consumption rate η, where sl is the number of security levels of the service, a i is the proportion of the number of businesses at the i-th security level, η i is the key consumption rate at the i-th security level; S4, through the formula Calculate the number of QKD transceiver devices required at both ends of each link, where μ iA A is allocated according to the adopted resource allocation algorithm linki The average quantum key generation rate of the remaining available quantum channels after the classical signal; S5. Each node accumulates the number of QKD transceiver devices required at both ends of the link connected to it, and obtains the number of QKD transceiver devices required by each node; C. A fiber core wavelength allocation method for layered interleaving of classical and quantum signals is proposed, which is applicable to an optical metropolitan area network using regular hexagonal multi-core optical fiber as a transmission medium, and is characterized in that it includes the following steps: S1. Layer the cores of the regular hexagonal multi-core optical fiber from outside to inside and number them in a clockwise spiral from small to large. The cores of the odd-numbered layers are used as classical signal cores, and the cores of the even-numbered layers are used as quantum signal cores. The available frequency gap number is denoted by F. S2. The Q quantum channels to be allocated are arranged in the quantum signal fiber cores according to the fiber core numbers from small to large, and all quantum signal fiber cores are occupied first. The frequencies are allocated from high to low, and the number of frequency slots occupied by the quantum signal is recorded as f. S3. The odd-numbered fiber cores are alternately allocated as forward classical signal cores and backward classical signal cores. The first (Ff) frequency slots in the forward classical signal core allow the allocation of forward classical signals, and the first (Ff) frequency slots in the backward classical signal core allow the allocation of backward classical signals. If the last layer has only one core, it is allocated as a forward-backward classical signal core, of which the first (Ff) / 2 frequency slots allow the allocation of forward classical signals, and the remaining frequency slots in the first (Ff) frequency slots allow the allocation of backward classical signals.

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