Air-ground integrated mobile core network deployment method and device, terminal and medium

Abstract

The application discloses a kind of air-ground integrated mobile core network deployment method, device, terminal and medium, by constructing air-ground integrated network architecture of mobile edge computing, deployment mobile core network, with minimum service delay as target, the objective function of the mobile core network is established, the optimal solution of the objective function is obtained, and the deployment set of the mobile core network is obtained.Therefore, the embodiment of the present application can realize the fusion of the data layer of the air platform Mesh network and the ground Mesh network;Avoid the problem of unstable network performance caused by the switching of air platform node movement;While guaranteeing network delay, it can effectively reduce the average data flow establishment delay, improve the practicability of air-ground integrated network.

Description

Technical Field

[0001] This invention relates to the field of network communication technology, and in particular to a method, apparatus, terminal and medium for deploying an integrated air-ground mobile core network. Background Technology

[0002] Air-to-ground integrated networks are commonly used in emergency communications, forming a new communication system that combines mobile communication base stations carried by airborne platforms (tethered balloons, airships, or drones) with ground base stations. Air-to-ground integrated networks have attracted widespread attention due to their advantages such as flexible deployment and ultra-long-range coverage. However, if user data requests are frequently transmitted from the airborne platform to the ground core network for processing, it will incur significant overhead. Furthermore, because the base stations mounted on the airborne platform are mobile, while ground base stations are relatively fixed, the lack of centralized management of airborne and ground base stations will lead to significant latency for user access and data processing. Although there has been considerable research on the design of air-to-ground integrated core networks and edge computing technologies, the research on core network design and task offloading in air-to-ground integrated networks is still insufficient. Currently, many researchers have introduced edge computing architectures to improve the task processing speed of air-to-ground integrated networks, which can improve network performance to some extent. However, without lightweight design and dynamic management of the multiple node core networks of the airborne platform, the flexibility and stability of the air-to-ground integrated network in dynamic mobile scenarios cannot be guaranteed, and the performance improvement of the edge computing architecture will be quite limited. To further explore the issues related to air-to-ground networks, this paper proposes an integrated air-to-ground network architecture and a mobile core network deployment method. This method introduces edge computing to propose a lightweight air-to-ground converged core network architecture. Based on this, a mobile core network deployment maneuver strategy based on minimum latency is proposed to avoid network performance instability caused by the switching of nodes during the movement of airborne platform nodes. Summary of the Invention

[0003] This invention provides an air-ground integrated mobile core network deployment method, apparatus, terminal, and medium to solve the technical problem of unstable network performance caused by the switching of airborne platform nodes in the prior art. It introduces edge computing to deploy the mobile core network on the air-ground integrated network architecture and adopts a mobile core network deployment strategy based on minimum latency, which can solve the problem of unstable network performance caused by the switching of airborne platform nodes.

[0004] To achieve the above objectives, in a first aspect, embodiments of the present invention provide an integrated air-ground mobile core network deployment method, comprising:

[0005] Constructing an integrated air-ground network architecture for mobile edge computing; wherein, the integrated air-ground network architecture includes: an airborne platform, edge servers, base stations, repeaters, a remote control center, and a backbone core network; the airborne platform includes tethered balloons, airships, or drones;

[0006] Based on the aforementioned air-ground integrated network architecture, a mobile core network is deployed, and an objective function for the mobile core network is established with the goal of minimizing service latency. The service latency includes the processing latency of the lightweight core network of the launch platform and the total latency of the backbone core network.

[0007] The optimal solution of the objective function is obtained by using the particle swarm optimization algorithm, thus obtaining the deployment set of the mobile core network.

[0008] As an improvement to the above-described scheme, the mobile core network is deployed based on the air-ground integrated network architecture. With the goal of minimizing service latency, the objective function of the mobile core network is established, specifically including:

[0009] Based on the air-ground integrated network architecture, the launch platforms are connected to form an launch platform mesh network and the base stations are connected to form a ground mesh network. The edge servers corresponding to the launch platform mesh network are used as the lightweight core network of the launch platform to deploy the mobile core network.

[0010] By using NFV technology, the service request of any user can be abstracted into several NFVs, and the processing latency of the NFVs in the lightweight core network of the launch platform can be obtained.

[0011] Obtain the total latency of the NFV in the backbone core network;

[0012] The objective function of the mobile core network is established with the goal of minimizing service latency.

[0013] As an improvement to the above-described solution, the step of using NFV technology to abstract any user's service request into several NFVs and obtaining the processing latency of the NFVs in the lightweight core network of the launch platform specifically includes:

[0014] Using NFV technology, the service request of any user is abstracted into several NFVs. Based on a first processing latency expression, the processing latency of each NFV in the lightweight core network of the launch platform is obtained. The first processing latency expression is:

[0015] ,

[0016] in, The processing latency of the i-th NFV in the lightweight core network of the launch platform; The computational resource size required for the i-th NFV; This indicates the computing power of the lightweight core network of the launch platform.

[0017] As an improvement to the above-described scheme, obtaining the total latency of the NFV in the backbone core network specifically includes:

[0018] The processing delay of the NFV in the backbone core network is obtained according to the second processing delay expression, whereby the second processing delay expression is:

[0019] ,

[0020] The transmission delay of the NFV in the backbone core network is obtained based on the transmission delay expression, which is:

[0021] ,

[0022] Based on the processing latency and transmission latency of the NFV in the backbone core network, the total latency of the NFV in the backbone core network is obtained, and the expression for the total latency is as follows:

[0023] ,

[0024] in, The processing latency of the i-th NFV in the backbone core network; This indicates the computing power of the backbone core network; The transmission delay of the i-th NFV in the backbone core network; This represents the memory size required for the i-th NFV; This indicates the transmission capacity of the backbone core network; The total latency of the i-th NFV in the backbone core network.

[0025] As an improvement to the above-described scheme, the objective function of the mobile core network, with the goal of minimizing service latency, is specifically as follows:

[0026] With the goal of minimizing service latency, an objective function for the mobile core network is established, wherein the objective function is:

[0027] ,

[0028] in, The number of NFVs for any given user's service request; i represents the execution of the i-th NFV for any given user's service request.

[0029] As an improvement to the above-described scheme, the step of obtaining the optimal solution of the objective function through particle swarm optimization to obtain the deployment set of the mobile core network specifically includes:

[0030] The relevant constraints of the objective function are obtained through particle swarm optimization to find the optimal solution of the objective function and obtain the deployment set of the mobile core network; the relevant constraints are...

[0031] ,

[0032] in, This indicates that the processing latency of any one of the NFVs is less than the maximum tolerable latency; This means that the computational resources required for any one of the NFVs are less than those required for the deployment nodes of the mobile core network. Remaining computing resource size ; This indicates the processing location of any NFV, where v represents any node in the lightweight core network of the launch platform, and u represents any node in the backbone core network; when When =1, it means that any one of the NFVs is processed in cluster V of the lightweight core network of the launch platform; when When =0, it means that any one of the NFVs is processed in the cluster U of the backbone core network; This means that any one of the NFVs can only be processed on a certain core network node.

[0033] Secondly, embodiments of the present invention provide an integrated air-ground mobile core network deployment device, comprising:

[0034] A network architecture unit is used to construct an integrated air-ground network architecture for mobile edge computing; wherein, the integrated air-ground network architecture includes: an airborne platform, edge servers, base stations, repeaters, a remote control center, and a backbone core network; the airborne platform includes tethered balloons, airships, or drones;

[0035] The objective function module is used to deploy a mobile core network based on the air-ground integrated network architecture, and to establish an objective function for the mobile core network with the goal of minimizing service latency; wherein, the service latency includes the processing latency of the lightweight core network of the launch platform and the total latency of the backbone core network;

[0036] The optimal calculation module is used to find the optimal solution of the objective function through the particle swarm optimization algorithm, and obtain the deployment set of the mobile core network.

[0037] As an improvement to the above scheme, the objective function module is specifically used for:

[0038] Based on the air-ground integrated network architecture, the launch platforms are connected to form an launch platform mesh network and the base stations are connected to form a ground mesh network. The edge servers corresponding to the launch platform mesh network are used as the lightweight core network of the launch platform to deploy the mobile core network.

[0039] By using NFV technology, the service request of any user can be abstracted into several NFVs, and the processing latency of the NFVs in the lightweight core network of the launch platform can be obtained.

[0040] Obtain the total latency of the NFV in the backbone core network;

[0041] The objective function of the mobile core network is established with the goal of minimizing service latency.

[0042] Thirdly, embodiments of the present invention provide a terminal, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the above-described air-ground integrated mobile core network deployment method.

[0043] Furthermore, embodiments of the present invention also provide a computer-readable medium, the computer-readable medium including a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable medium is located to execute the above-described air-ground integrated mobile core network deployment method.

[0044] Compared with existing technologies, the present invention discloses an air-ground integrated mobile core network deployment method, apparatus, terminal, and medium. By constructing an air-ground integrated network architecture with mobile edge computing, a mobile core network is deployed. With minimum service latency as the objective, an objective function for the mobile core network is established, and the optimal solution of the objective function is obtained, resulting in the deployment set of the mobile core network. Therefore, the present invention can achieve data-level fusion between the airborne platform mesh network and the ground mesh network; avoid network performance instability caused by handover during the movement of airborne platform nodes; and effectively reduce average data stream establishment latency while ensuring network latency, thereby improving the practicality of the air-ground integrated network. Attached Figure Description

[0045] Figure 1 This is a flowchart illustrating an air-ground integrated mobile core network deployment method provided in an embodiment of the present invention.

[0046] Figure 2 This is a schematic diagram of the structure of an air-ground integrated mobile core network deployment device provided in an embodiment of the present invention. Detailed Implementation

[0047] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] It should be noted that the terms "comprising" and "specific" in this invention, and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or device.

[0049] Please see Figure 1 , Figure 1 This is a flowchart illustrating an air-ground integrated mobile core network deployment method provided by an embodiment of the present invention. The air-ground integrated mobile core network deployment method includes steps S11 to S13:

[0050] S11: Construct an integrated air-ground network architecture for mobile edge computing; wherein, the integrated air-ground network architecture includes: an airborne platform, edge servers, base stations, repeaters, a remote control center, and a backbone core network; the airborne platform includes tethered balloons, airships, or drones;

[0051] It should be noted that with the explosive growth of intelligent terminal devices, emerging services are demanding higher efficiency and lower latency from networks. The current air-to-ground integrated network, which uploads computationally intensive tasks to cloud data centers with abundant computing and caching resources, struggles to meet the millisecond-level end-to-end latency requirements of emerging applications. The air-to-ground integrated network architecture, which incorporates mobile edge computing, introduces MEC (Multi-access Edge Computing) to offload some core network functions to the base station side, thereby improving the speed of massive data processing. This enables base stations to have computing and resource caching capabilities, effectively reducing the number of interactions between base stations and the backbone network and saving bandwidth for service data transmission on the links.

[0052] While the proposed integrated air-ground network architecture improves network performance in 5G and IoT applications, providing users with certain computing and storage capabilities, the dynamic nature of the airborne platform's mesh network necessitates unified management of the airborne platform nodes to reduce frequent wireless access and prevent issues with user transmission terminals. The remote control center addresses this by implementing five aspects: airborne platform node selection, global topology management, global task scheduling, airborne platform node network control, and task offloading scheduling. This allows the center to support ground-based mesh network user services while simultaneously coordinating with the airborne platform's mobile core network to support air-to-ground services, thus achieving the convergence of the air-ground backbone core networks.

[0053] S12: Deploy a mobile core network based on the air-ground integrated network architecture, and establish an objective function for the mobile core network with the goal of minimizing service latency; wherein, the service latency includes the processing latency of the lightweight core network of the launch platform and the total latency of the backbone core network;

[0054] S13: The optimal solution of the objective function is obtained by using the particle swarm optimization algorithm, thus obtaining the deployment set of the mobile core network.

[0055] It should be noted that, considering the mobility of the lightweight core network of the launch platform and the network latency requirements of services, a mobile core network deployment method based on network latency optimization is proposed. This method establishes an objective function with the goal of minimizing service latency, approximates the objective function using the particle swarm optimization algorithm, and finally obtains the mobile core network deployment set.

[0056] Preferably, step S12 specifically includes:

[0057] S121: Based on the air-ground integrated network architecture, the launch platforms are connected to form an launch platform mesh network and the base stations are connected to form a ground mesh network. The edge servers corresponding to the launch platform mesh network are used as the lightweight core network of the launch platform to deploy the mobile core network.

[0058] It should be noted that due to the mobility of the launch platform nodes, the launch platform mesh network is a dynamic network. To achieve energy conservation and emission reduction, this launch platform mesh network typically needs to dynamically adjust the number of nodes and the collaborative relationships between nodes based on the number of service requests and user mobility. The edge server corresponding to the launch platform mesh network acts as a lightweight core network, interacting with the ground-based remote control center to manage and control the entire network. Simultaneously, the remote control center forwards data from the launch platform to the ground-based backbone core network for collaborative processing via the backbone core network, thereby achieving data-level integration between the launch platform mesh network and the ground-based mesh network.

[0059] The lightweight core network of the launch platform is a node with 5G core network functionality. Based on user service requirements, the complete 5G core network functions are customized to enable lightweight deployment of some 5G core network functions in emergency scenarios using the limited computing resources on the launch platform. This allows user terminals to quickly access, process, and backhaul data within the launch platform, effectively reducing processing latency for user services. In accordance with the mobility requirements of the launch platform, it retains network elements such as access management, mobility management, session management, authentication management, control policies, network slice selection, network opening functions, launch platform network control, and packet routing and forwarding management.

[0060] In addition to processing data from terrestrial base stations, the backbone core network can also receive data from the launch platform core network through a remote control center. This enables the terrestrial mesh network and the launch platform mesh network to converge at the data service level, ensuring the efficiency and flexibility of the converged network in data processing.

[0061] S122: Using NFV technology, abstract any user's service request into several NFVs, and obtain the processing latency of the NFVs in the lightweight core network of the launch platform;

[0062] It should be noted that in the mobile core network of the air-ground integrated network structure, NFV (Network Functions Virtualization) technology is used to decouple network functions from hardware and software. User service requests will be abstracted into multiple NFVs, and then mapped to the Mesh network edge server of the launch platform and the backbone core network server based on the abstracted NFVs, so as to realize the allocation of resources.

[0063] S123: Obtain the total latency of the NFV in the backbone core network;

[0064] S124: Establish the objective function of the mobile core network with the goal of minimizing service latency.

[0065] It should be noted that the deployment of mobile core network generally includes the process of selecting underlying service nodes and link mapping. The selection of underlying nodes requires the selection of appropriate scheduling strategies to improve network resource utilization. Based on the goal of minimizing latency, a mobile deployment method for core network that meets emergency service requests is proposed, which can avoid the network performance instability caused by the switching of nodes on the launch platform.

[0066] In a specific embodiment, it is assumed that the set of servers in the mobile core network of the integrated air-ground network structure is A, where A = {m} k|0≤k≤n}, where k represents the number of available servers in the mobile core network; this embodiment considers three types of resources: CPU computing resources, memory resources, and bandwidth resources, so the set of these three resources is B, B={m kj |0≤j≤m}, where j represents the number of resource types. This indicates the lightweight core network computing capabilities of the launch platform; This represents the computing power of the backbone core network. The service request of the i-th user is represented by a triplet. in Let be the number of NFVs for any given user's service request; i represents the execution of the i-th NFV for any given user's service request (1≤i≤p). This represents the maximum tolerable delay for the i-th NFV.

[0067] Preferably, step S122 specifically includes:

[0068] Using NFV technology, the service request of any user is abstracted into several NFVs. Based on a first processing latency expression, the processing latency of each NFV in the lightweight core network of the launch platform is obtained. The first processing latency expression is:

[0069] ,

[0070] in, The processing latency of the i-th NFV in the lightweight core network of the launch platform; The computational resource size required for the i-th NFV; This indicates the computing power of the lightweight core network of the launch platform.

[0071] Preferably, step S123 specifically includes:

[0072] The processing delay of the NFV in the backbone core network is obtained according to the second processing delay expression, whereby the second processing delay expression is:

[0073] ,

[0074] The transmission delay of the NFV in the backbone core network is obtained based on the transmission delay expression, which is:

[0075] ,

[0076] Based on the processing latency and transmission latency of the NFV in the backbone core network, the total latency of the NFV in the backbone core network is obtained, and the expression for the total latency is as follows:

[0077] ,

[0078] in, The processing latency of the i-th NFV in the backbone core network; This indicates the computing power of the backbone core network; The transmission delay of the i-th NFV in the backbone core network; This represents the memory size required for the i-th NFV; This indicates the transmission capacity of the backbone core network; The total latency of the i-th NFV in the backbone core network.

[0079] Specifically, step S124 is as follows:

[0080] With the goal of minimizing service latency, an objective function for the mobile core network is established, wherein the objective function is:

[0081] ,

[0082] in, The number of NFVs for any given user's service request; i represents the execution of the i-th NFV for any given user's service request.

[0083] Preferably, step S13 specifically includes:

[0084] The relevant constraints of the objective function are obtained through particle swarm optimization to find the optimal solution of the objective function and obtain the deployment set of the mobile core network; the relevant constraints are...

[0085] ,

[0086] in, This indicates that the processing latency of any one of the NFVs is less than the maximum tolerable latency; This means that the computational resources required for any one of the NFVs are less than those required for the deployment nodes of the mobile core network. Remaining computing resource size ; This indicates the processing location of any NFV, where v represents any node in the lightweight core network of the launch platform, and u represents any node in the backbone core network; when When =1, it means that any one of the NFVs is processed in cluster V of the lightweight core network of the launch platform; when When =0, it means that any one of the NFVs is processed in the cluster U of the backbone core network; This means that any one of the NFVs can only be processed on a certain core network node.

[0087] Please see Figure 2 , Figure 2 This is a schematic diagram of an air-to-ground integrated mobile core network deployment device provided in an embodiment of the present invention. The air-to-ground integrated mobile core network deployment device includes:

[0088] Network architecture unit 21 is used to construct an integrated air-ground network architecture for mobile edge computing; wherein, the integrated air-ground network architecture includes: a launch platform, edge servers, base stations, repeaters, a remote control center, and a backbone core network; the launch platform includes tethered balloons, airships, or drones;

[0089] Objective function module 22 is used to deploy a mobile core network based on the air-ground integrated network architecture, and to establish an objective function for the mobile core network with the goal of minimizing service latency; wherein, the service latency includes the processing latency of the lightweight core network of the launch platform and the total latency of the backbone core network;

[0090] The optimal calculation module 23 is used to find the optimal solution of the objective function through the particle swarm optimization algorithm to obtain the deployment set of the mobile core network.

[0091] Preferably, the objective function module 22 is specifically used for:

[0092] Based on the air-ground integrated network architecture, the launch platforms are connected to form an launch platform mesh network and the base stations are connected to form a ground mesh network. The edge servers corresponding to the launch platform mesh network are used as the lightweight core network of the launch platform to deploy the mobile core network.

[0093] By using NFV technology, the service request of any user can be abstracted into several NFVs, and the processing latency of the NFVs in the lightweight core network of the launch platform can be obtained.

[0094] Obtain the total latency of the NFV in the backbone core network;

[0095] The objective function of the mobile core network is established with the goal of minimizing service latency.

[0096] The air-ground integrated mobile core network deployment device provided in this embodiment of the invention can realize all the processes of the air-ground integrated mobile core network deployment method of the above embodiments. The functions and technical effects of each module in the device are the same as those of the air-ground integrated mobile core network deployment method of the above embodiments, and will not be repeated here.

[0097] This invention provides a terminal comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps described in the above-described air-to-ground integrated mobile core network deployment method embodiment. Alternatively, when the processor executes the computer program, it implements the functions of each module described in the above-described air-to-ground integrated mobile core network deployment device embodiment.

[0098] For example, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in the terminal.

[0099] The terminal can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. The terminal may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the schematic diagram is merely an example of a terminal and does not constitute a limitation on the terminal. It may include more or fewer components than illustrated, or combine certain components, or use different components. For example, the terminal may also include input / output devices, network access devices, buses, etc.

[0100] The processor can be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the terminal, connecting various parts of the terminal via various interfaces and lines.

[0101] The memory can be used to store the computer programs and / or modules. The processor implements various functions of the terminal by running or executing the computer programs and / or modules stored in the memory, and by calling data stored in the memory. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart memory card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0102] If the modules integrated into the terminal are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory, a random access memory, an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0103] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0104] This invention also provides a computer-readable medium comprising a stored computer program, wherein, when the computer program is executed, it controls the device containing the computer-readable medium to perform the air-ground integrated mobile core network deployment method as described above.

[0105] In summary, this invention discloses an integrated air-ground mobile core network deployment method, apparatus, terminal, and medium. By constructing an integrated air-ground network architecture with mobile edge computing, a mobile core network is deployed. With minimum service latency as the objective, a target function for the mobile core network is established, and the optimal solution of the target function is obtained, resulting in the deployment set of the mobile core network. Therefore, this invention can achieve data-level fusion between the airborne platform mesh network and the ground mesh network; avoid network performance instability caused by handover during airborne platform node movement; and effectively reduce average data stream establishment latency while ensuring network latency, thus improving the practicality of the integrated air-ground network.

[0106] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for deploying an integrated air-ground mobile core network, characterized in that, include: Constructing an integrated air-ground network architecture for mobile edge computing; wherein, the integrated air-ground network architecture includes: an airborne platform, edge servers, base stations, repeaters, a remote control center, and a backbone core network; the airborne platform includes tethered balloons, airships, or drones; Based on the aforementioned air-ground integrated network architecture, a mobile core network is deployed, and an objective function for the mobile core network is established with the goal of minimizing service latency. The service latency includes the processing latency of the lightweight core network of the launch platform and the total latency of the backbone core network. The optimal solution of the objective function is obtained by using the particle swarm optimization algorithm, and the deployment set of the mobile core network is obtained. Specifically, the deployment of the mobile core network based on the air-ground integrated network architecture, with the goal of minimizing service latency, and the establishment of the objective function for the mobile core network, include: Based on the air-ground integrated network architecture, the launch platforms are connected to form an launch platform mesh network and the base stations are connected to form a ground mesh network. The edge servers corresponding to the launch platform mesh network are used as the lightweight core network of the launch platform to deploy the mobile core network. By using NFV technology, the service request of any user can be abstracted into several NFVs, and the processing latency of the NFVs in the lightweight core network of the launch platform can be obtained. Obtain the total latency of the NFV in the backbone core network; The objective function of the mobile core network is established with the goal of minimizing service latency; The objective function for establishing the mobile core network, with the goal of minimizing service latency, is as follows: With the goal of minimizing service latency, an objective function for the mobile core network is established, wherein the objective function is: ， in, The number of NFVs for any given user's service request; i represents the execution of the i-th NFV for any given user's service request; The processing latency of the i-th NFV in the lightweight core network of the launch platform; The total latency of the i-th NFV in the backbone core network; The step of obtaining the optimal solution of the objective function using the particle swarm optimization algorithm to obtain the deployment set of the mobile core network specifically includes: The relevant constraints of the objective function are obtained through particle swarm optimization to find the optimal solution of the objective function and obtain the deployment set of the mobile core network; the relevant constraints are... ， in, This indicates that the processing latency of any one of the NFVs is less than the maximum tolerable latency; This means that the computational resources required for any one of the NFVs are less than those required for the deployment nodes of the mobile core network. Remaining computing resource size ; The computational resource size required for the i-th NFV; This indicates the processing location of any NFV, where v represents any node in the lightweight core network of the launch platform, and u represents any node in the backbone core network; when When =1, it means that any one of the NFVs is processed in cluster V of the lightweight core network of the launch platform; when When =0, it means that any one of the NFVs is processed in the cluster U of the backbone core network; This means that any one of the NFVs can only be processed on a certain core network node.

2. The air-ground integrated mobile core network deployment method as described in claim 1, characterized in that, The process of abstracting a user's service request into several NFVs using NFV technology and obtaining the processing latency of the NFVs in the lightweight core network of the launch platform specifically includes: Using NFV technology, the service request of any user is abstracted into several NFVs. Based on a first processing latency expression, the processing latency of each NFV in the lightweight core network of the launch platform is obtained. The first processing latency expression is: ， in, The processing latency of the i-th NFV in the lightweight core network of the launch platform; The computational resource size required for the i-th NFV; This indicates the computing power of the lightweight core network of the launch platform.

3. The air-ground integrated mobile core network deployment method as described in claim 2, characterized in that, The process of obtaining the total latency of the NFV in the backbone core network specifically includes: The processing delay of the NFV in the backbone core network is obtained according to the second processing delay expression, whereby the second processing delay expression is: ， The transmission delay of the NFV in the backbone core network is obtained based on the transmission delay expression, which is: ， Based on the processing latency and transmission latency of the NFV in the backbone core network, the total latency of the NFV in the backbone core network is obtained, and the expression for the total latency is as follows: ， in, The processing latency of the i-th NFV in the backbone core network; This indicates the computing power of the backbone core network; The transmission delay of the i-th NFV in the backbone core network; This represents the memory size required for the i-th NFV; This indicates the transmission capacity of the backbone core network; The total latency of the i-th NFV in the backbone core network.

4. A mobile core network deployment device integrating air and ground, characterized in that, include: A network architecture unit is used to construct an integrated air-ground network architecture for mobile edge computing; wherein, the integrated air-ground network architecture includes: an airborne platform, edge servers, base stations, repeaters, a remote control center, and a backbone core network; the airborne platform includes tethered balloons, airships, or drones; The objective function module is used to deploy a mobile core network based on the air-ground integrated network architecture, and to establish an objective function for the mobile core network with the goal of minimizing service latency; wherein, the service latency includes the processing latency of the lightweight core network of the launch platform and the total latency of the backbone core network; The optimal calculation module is used to find the optimal solution of the objective function through the particle swarm optimization algorithm, and obtain the deployment set of the mobile core network; Specifically, the objective function module is used for: Based on the air-ground integrated network architecture, the launch platforms are connected to form an launch platform mesh network and the base stations are connected to form a ground mesh network. The edge servers corresponding to the launch platform mesh network are used as the lightweight core network of the launch platform to deploy the mobile core network. By using NFV technology, the service request of any user can be abstracted into several NFVs, and the processing latency of the NFVs in the lightweight core network of the launch platform can be obtained. Obtain the total latency of the NFV in the backbone core network; The objective function of the mobile core network is established with the goal of minimizing service latency; The objective function for establishing the mobile core network, with the goal of minimizing service latency, is as follows: With the goal of minimizing service latency, an objective function for the mobile core network is established, wherein the objective function is: ， in, The number of NFVs for any given user's service request; i represents the execution of the i-th NFV for any given user's service request; The processing latency of the i-th NFV in the lightweight core network of the launch platform; The total latency of the i-th NFV in the backbone core network; The optimal calculation module is specifically used for: The relevant constraints of the objective function are obtained through particle swarm optimization to find the optimal solution of the objective function and obtain the deployment set of the mobile core network; the relevant constraints are... ， in, This indicates that the processing latency of any one of the NFVs is less than the maximum tolerable latency; This means that the computational resources required for any one of the NFVs are less than those required for the deployment nodes of the mobile core network. Remaining computing resource size ; The computational resource size required for the i-th NFV; This indicates the processing location of any NFV, where v represents any node in the lightweight core network of the launch platform, and u represents any node in the backbone core network; when When =1, it means that any one of the NFVs is processed in cluster V of the lightweight core network of the launch platform; when When =0, it means that any one of the NFVs is processed in the cluster U of the backbone core network; This means that any one of the NFVs can only be processed on a certain core network node.

5. A terminal device, characterized in that, It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the air-ground integrated mobile core network deployment method as described in any one of claims 1-3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed, it controls the device where the computer-readable storage medium is located to perform the air-ground integrated mobile core network deployment method as described in any one of claims 1-3.

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