5G maneuvering system network slice resource scheduling method

Abstract

The invention discloses a 5G maneuvering system network slice resource scheduling method, which relates to the technical field of network communication, and is characterized in that 5G network resource requirements of different combat missions in an urban combat scene are analyzed, the resource requirements are divided into different typical scenes according to the types of the combat missions, and the typical scenes are divided into different typical scenes; determining a network slice service level protocol, a service attribute and a performance requirement corresponding to each scene; according to the network slice service level agreement corresponding to each scene, carrying out full life cycle management on the 5G maneuvering system network slice; the dynamic change of different combat tasks in an urban combat scene is utilized to adjust network slice resource allocation in real time, and a resource scheduling strategy is optimized so as to meet the real-time requirements of the combat tasks. According to the method, flexible configuration and dynamic adjustment of network resources are realized through related steps of demand analysis, network slice generation, operation management, termination exit and resource scheduling strategies, and communication demands in complex environments such as urban combat and the like can be better adapted.

Description

Technical Field

[0001] The present invention relates to the field of network communication technologies, and more specifically, to a method for scheduling network slice resources in a 5G mobile system. Background Art

[0002] With the rapid development and wide application of 5G technologies, network slicing technology, as one of the key features of 5G networks, can provide customized network functions and services for different service requirements; in the field of military communications, especially in complex environments, higher requirements are put forward for the flexibility and adaptability of network resources. The traditional mobile network structure is difficult to meet these diverse and dynamically changing communication requirements. Studying a method for scheduling network slice resources applicable to 5G mobile systems is of great significance for enhancing the flexibility and adaptability of communication systems.

[0003] Currently, battlefield mobile equipment based on 5G technologies, such as the TCY316 mobile communication system, although it can quickly build a small 5G dedicated mobile communication network in a short time, still has the following problems in terms of network resource scheduling:

[0004] (1) The resource configuration is not flexible enough: the existing system is difficult to quickly adjust the network resource configuration according to the dynamic requirements of different scenarios; (2) Lack of support for differentiated services: the existing system is difficult to provide customized network services for different scenarios and lacks support for differentiated requirements; (3) Low resource utilization rate: due to the lack of effective resource scheduling strategies, the network resource utilization rate of the existing system is not high and it is difficult to meet the communication requirements under high load; (4) Poor adaptability: when facing changes in scenarios, the existing system is difficult to quickly adapt, affecting the stability and reliability of the communication system.

[0005] Therefore, the present invention aims to provide a method for scheduling network slice resources in a 5G mobile system to solve the above problems. Summary of the Invention

[0006] The purpose of the present invention is to provide a method for scheduling network slice resources in a 5G mobile system. Through relevant steps such as demand analysis, network slice generation, operation management, termination and exit, and resource scheduling strategies, the present invention realizes the flexible configuration and dynamic adjustment of network resources and can better adapt to the communication requirements in complex environments such as urban combat.

[0007] The above technical purpose of the present invention is achieved through the following technical solutions: A method for scheduling network slice resources in a 5G mobile system includes the following steps:

[0008] S1. Analyze the 5G network resource requirements for different combat missions in the urban combat scenario. According to the types of combat missions, divide the resource requirements into three typical scenarios: multi-dimensional battlefield situation perception, manned and unmanned collaborative combat, and battlefield Internet of Things. Determine the corresponding network slice service level agreements, service attributes, and performance requirements for each scenario.

[0009] S2. Perform full life cycle management on the 5G mobile system network slices according to the network slice service level agreements corresponding to each scenario.

[0010] S3. Utilize the dynamic changes of different combat missions in the urban combat scenario to adjust the network slice resource allocation in real time, optimize the resource scheduling strategy, and meet the real-time requirements of combat missions.

[0011] The present invention is further configured such that the full life cycle management of the 5G mobile system network slices in step S2 specifically includes managing the access and generation phase, operation phase, and termination phase of the network slices. In the management of the access and generation phase of the network slices, match the corresponding network slice template through service requirements, and determine whether the system has sufficient free resources to construct the network slice. If so, perform the instantiation operation; otherwise, reject the access to the network slice. In the management of the operation phase of the network slices, monitor, update, migrate, expand / contract the capacity of the slice, and at the same time perform rapid service redeployment and resource reallocation according to the change of service load to achieve efficient dynamic allocation of radio and edge computing resources. In the management of the termination phase of the network slices, perform operations such as function de-instantiation, resource recovery, rating, and historical record generation to ensure that the termination of one network slice does not affect the normal service of other slice services.

[0012] The present invention is further configured such that the service attributes in step S1 include slice type, air interface parameters, and differentiated network functions, and the performance requirements include latency, throughput, and packet loss rate.

[0013] The present invention is further configured such that in the full life cycle management of the 5G mobile system network slices, the access and generation phase of the network slices further includes maintaining and updating a network slice template library, and the templates in the network slice template library include descriptions of virtual network function components, standardized interaction interfaces between components, and required network resources.

[0014] The present invention is further configured such that in the full life cycle management of the 5G mobile system network slices, for the radio protocol processing resources in the operation phase of the network slices, multiple logical resource sets are sliced out on the physical resource pool.

[0015] The present invention is further configured such that in the full - life - cycle management of the 5G mobile system network slice, the termination phase of the network slice further includes designing an incentive mechanism to encourage the network slice and the terminal to participate in cooperation.

[0016] The present invention is further configured such that in step S3, the real - time adjustment of the network slice resource allocation verifies and optimizes the resource scheduling strategy through the combination of a 5G network virtual simulation platform and the actual installation of a 5G mobile system.

[0017] The present invention is further configured such that the 5G mobile system adopts a horizontal multi - level decoupling architecture to decouple the transmission waveform, network switching capabilities, and service capabilities, forming component - based fine - grained functional services, and at the same time, matching and combining them according to the requirements of the combat scenario for differential and hierarchical design.

[0018] The present invention is further configured such that the optimization of the resource scheduling strategy in step S3 is based on the dynamic changes in the urban combat process and the real - time feedback of combat tasks, to ensure that the network slice resources can quickly adapt to the conversion of combat scenarios and the changes in task requirements.

[0019] In summary, the present invention has the following beneficial effects:

[0020] 1. The present invention can quickly adjust and optimize the network slice resource allocation for the complex and changeable combat scenarios in urban combat, such as multi - dimensional perception of the battlefield situation, cooperative combat between manned and unmanned platforms, battlefield Internet of Things, etc. By accurately identifying the network requirements of different scenarios and dynamically adjusting resources, it effectively improves the adaptability of the 5G mobile system in diverse combat scenarios, ensures the efficiency and stability of communication support, and at the same time, through the network slice technology, provides customized network services for different combat scenarios, avoiding the problem that the traditional single - network structure cannot meet diverse needs, and significantly improving the execution efficiency and success rate of combat tasks.

[0021] 2. The present invention adopts the full - life - cycle management of network slices, from access and generation, operation management to the termination phase, realizing the refined management and dynamic allocation of resources. In the operation phase, resource re - deployment and dynamic allocation are carried out in real - time according to the change of business load, avoiding resource waste and idleness, maximizing the utilization of limited network resources. By virtualization technology, large and complex functional services are broken up into component - based fine - grained functional services, and flexibly combined according to the requirements of the combat scenario, realizing the efficient sharing and reuse of resources, and significantly improving the resource utilization rate.

[0022] 3. Through a horizontal multi-level decoupling architecture, the present invention decouples the transmission waveform, network switching capability, and service provisioning capability of a 5G mobile system to form an orchestratable and reconfigurable sliced network architecture. This architecture can quickly respond to changes in combat missions, flexibly adjust network functions and services, enhance the flexibility and scalability of the system, enabling network slices to be quickly generated, updated, and terminated in scenarios with frequent combat scenario conversions, ensuring that the system can promptly adapt to new combat requirements and reducing combat delays caused by network adjustments.

[0023] 4. In response to scenarios such as manned-unmanned cooperative combat that require low latency and high reliability, the present invention can ensure the real-time performance and reliability of critical combat missions by optimizing resource allocation and network slice management. By dynamically adjusting radio and edge computing resources, it meets the real-time remote control and precision strike requirements of unmanned equipment, improves the execution accuracy and success rate of combat missions, and through the isolation of network slices, ensures that the networks for different combat missions do not interfere with each other, avoiding mission interruptions caused by network congestion or failures and enhancing the reliability of combat missions.

[0024] 5. By combining a 5G network virtual simulation platform with actual equipment verification, the present invention tests and optimizes resource scheduling strategies, and can provide combat forces with verified network slice application solutions. These solutions can effectively guide combat forces to quickly deploy and adjust 5G network resources in actual combat, enhancing the information communication support capabilities of combat forces. By analyzing the dynamic changes and real-time feedback of combat missions, it optimizes resource scheduling strategies, providing flexible decision-making support for combat forces and ensuring high-efficiency communication support in complex and changing combat environments.

[0025] 6. By optimizing the network resource scheduling of a 5G mobile system, the present invention enhances the communication support capabilities of troops in different combat scenarios, thereby improving the combat efficiency and combat effectiveness of troops. In complex urban combat environments, fast and accurate communication support can ensure the cooperative combat capabilities of combat forces and enhance the execution effect of combat missions. By forming a path method for quickly and accurately analyzing 5G communication requirements and designing and developing network slices, it provides standardized combat processes and specifications for troops, further enhancing the combat effectiveness generation capabilities of troops. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 is a flowchart showing the process of a method for scheduling 5G mobile system network slice resources in an embodiment of the present invention;

[0027] Figure 2 is a schematic diagram for analyzing the 5G network resource requirements in urban combat in an embodiment of the present invention;

[0028] Figure 3It is a schematic diagram of the virtualization architecture of network slice resources in an embodiment of the present invention. Detailed implementation manners

[0029] The following further elaborates on the present invention in conjunction with the attached Figures 1-3 drawings.

[0030] Embodiment: A method for scheduling network slice resources of a 5G mobile system includes the following steps:

[0031] S1. Analyze the 5G network resource requirements of different combat tasks in the urban combat scenario, divide the resource requirements into three typical scenarios of multi-dimensional battlefield situation perception, unmanned and manned collaborative combat, and battlefield Internet of Things according to the combat task type, and determine the network slice service level agreement, service attributes, and performance requirements corresponding to each scenario.

[0032] The service attributes include slice type, air interface parameters, and differentiated network functions, and the performance requirements include latency, throughput, and packet loss rate. To accelerate the deployment of 5G technology applications, the TCY316 mobile communication system is gradually being distributed to the troops. This system can quickly build a small 5G dedicated mobile communication network in a short time and can work independently without relying on any communication infrastructure. This system is flexible in deployment and quick in erection, meets the relevant technical standards of 5G mobile communication networks, and can provide differentiated communication service for different combat scenarios through network application.

[0033] This embodiment focuses on the 5G network slice technology and discusses issues such as the network resource usage requirements, network resource scheduling strategies, and organizational application methods of the 5G mobile system during the network application process in the context of urban combat. The specific analysis process is as Figure 2 shown.

[0034] First, obtain the characteristics of urban combat, summarize the urban combat process, analyze the changes in the communication requirements of different combatants and equipment in different combat processes, and clarify the service demand model; secondly, study the network slice orchestration and management technology, propose network slice instances for different service demand models, and finally analyze the resource scheduling strategy of the 5G mobile system in urban combat, and verify the feasibility and effectiveness of the scheduling strategy through two methods: 5G network virtual simulation platform and actual equipment, and optimize the strategy to form the final resource scheduling method.

[0035] The network resource requirements for urban warfare present refined and diverse characteristics. For example, the all-dimensional perception of the battlefield situation requires battlefield three-dimensional reconnaissance, situation awareness, high-definition video backhaul, etc., with relatively prominent demands for large bandwidth and high rate; in the scenario of collaborative combat between manned and unmanned systems, real-time remote control and precise strikes of various unmanned equipment are achieved through the 5G network, with high requirements for low latency; for the battlefield Internet of Things, the overall battlefield information is mastered through various battlefield sensors connected to the network, with high requirements for the number of access terminals; the urban warfare environment is complex and the combat scenarios change frequently. The above three service scenarios appear quickly and frequently in alternation, or even coexist. In this embodiment, specific network resource requirements are summarized based on the characteristics of urban warfare, communication services, and information services to form corresponding service models.

[0036] S2. Perform full-life cycle management on the network slices of the 5G mobile system according to the network slice service level agreements corresponding to each scenario.

[0037] In this embodiment, full-life cycle management of the network slices of the 5G mobile system specifically includes managing the access and generation phase, operation phase, and termination phase of the network slices. In the management of the access and generation phase of the network slices, the corresponding network slice template is matched through business requirements, and it is judged whether the system has enough spare resources to construct the network slice. If so, the instantiation operation is performed; otherwise, the access to the network slice is rejected. In the management of the operation phase of the network slices, the operation status of the slices is monitored, updated, migrated, and scaled in / out, and at the same time, rapid service redeployment and resource reallocation are performed according to the change of business load to achieve efficient dynamic allocation of radio and edge computing resources. In the management of the termination phase of the network slices, operations such as function de-instantiation, resource recovery, rating, and historical record generation are performed to ensure that the termination of one network slice does not affect the normal service of other slice services.

[0038] In the full-life cycle management of the network slices of the 5G mobile system, the access and generation phase of the network slices also includes maintaining and updating a network slice template library. The templates in the network slice template library include descriptions of virtual network function components, standardized interaction interfaces between components, and required network resources.

[0039] In the full-life cycle management of the network slices of the 5G mobile system, for the radio protocol processing resources in the operation phase of the network slices, multiple logical resource sets are sliced out on the physical resource pool.

[0040] In the full-life cycle management of the network slices of the 5G mobile system, the termination phase of the network slices also includes designing an incentive mechanism to encourage the collaboration of network slices and terminals.

[0041] In this embodiment, to meet the network requirements of the 5G mobile system, namely "flexible combat applications, diverse business services, variable network topologies, and shared transmission waveforms", it is necessary to break the "chimney-style" vertical information system architecture that supports specific combat applications in the 5G mobile system. The transmission waveform, network switching capabilities, and business service capabilities of the 5G mobile system are horizontally decoupled at multiple levels. By comprehensively utilizing the available architectures and resources at each level, differential and hierarchical designs are achieved. The overall technical framework is as shown in Figure 3 . After the horizontal layer decoupling of the system, when processing at each layer, large and complex functional services are broken up into componentized fine-grained functional services. These services are then matched and combined according to the differential requirements such as business logic, data processing, switching networking, and transmission characteristics required by different combat scenarios and tactical applications. Based on virtualization technology, multiple instances of each functional component are enabled to run, thus forming an orchestratable and reconfigurable sliced network architecture from top to bottom for tactical applications.

[0042] According to the requirements of different combat scenarios, corresponding network slices are established, and the generated network slices are managed by a network slice manager. Logically, the network slice manager allocates the required base station function modules, core network function modules, radio and edge computing resources, etc. to the network slices. The network slices dynamically share virtual and / or physical function modules, customize the capabilities of the function modules according to demand characteristics, and reasonably allocate wireless spectrum and edge computing resources to the corresponding slices according to the network slice resource allocation algorithm.

[0043] S3. Utilize the dynamic changes of different combat tasks in the urban combat scenario to adjust the network slice resource allocation in real time and optimize the resource scheduling strategy to meet the real-time requirements of combat tasks.

[0044] In this embodiment, the real-time adjustment of network slice resource allocation is verified and optimized through the combination of a 5G network virtual simulation platform and the actual installation of a 5G mobile system. The 5G mobile system adopts a horizontally multi-level decoupled architecture to decouple the transmission waveform, network switching capabilities, and business service capabilities, forming componentized fine-grained functional services. At the same time, they are matched and combined according to the combat scenario requirements to achieve differential and hierarchical designs. Its optimized resource scheduling strategy is based on the dynamic changes of the urban combat process and the real-time feedback of combat tasks, ensuring that the network slice resources can quickly adapt to the conversion of combat scenarios and the changes in task requirements.

[0045] This embodiment uses multiple sets of 5G mobile systems combined with other network systems or other models of 5G mobile communication systems to build a test platform, supplemented by a virtualization simulation platform, to verify the feasibility of the resource scheduling strategy. By analyzing the test results, specific implementation plans for resource scheduling in the urban combat scenario and equipment improvement suggestions are given.

[0046] Preferably, in this embodiment, network slicing realizes the customization of the entire network service based on the software definition and virtualization of the cellular network. As a service - providing method, network slicing can be applied to various combat scenarios and provide network capabilities on demand according to combat scenarios and service types. Slices are isolated from each other and do not interfere with each other. Therefore, in this embodiment, by determining the service level of network slicing, the service level agreement (SLA) includes basic attributes (such as security, manageability, availability, etc.), detailed service attributes (such as slice type, air - interface parameters, differentiated network functions, etc.), and performance requirements (such as latency, throughput, packet loss rate, etc.). The SLA of network slicing is effectively guaranteed through the virtualization of the cellular network and the differential tailoring and configuration of physical functions.

[0047] In this embodiment, each network slice performs customized tailoring and orchestration management of network functions according to the business scenario and business model. A network slice can be regarded as an instantiated switching network. In a network slice, network orchestration is a very important functional module that realizes the life - cycle management of the network slice, including three stages: network slice access and generation, network slice operation, and network slice termination. The specific resource management requirements are as follows:

[0048] In the network slice access and generation stage, according to the service requirements, the resource requirements of the network slice are obtained, and it is necessary to determine whether there are sufficient spare resources to construct the network slice: if so, the network slice is accessed; otherwise, access to the network slice is rejected. A network slice template library is maintained and updated. The first step for a new service to go online is to match a suitable slice template. The matching items include descriptions of virtual network function components, standardized interaction interfaces between components, and required network resources. When it is decided to access a certain network slice, the network slice is generated, that is, instantiated. When the network slice is instantiated, the service engine imports and parses the template, calls network resources through the interface, instantiates VNFs based on service requirements and generates and orchestrates service function chains. Finally, the network slice is migrated to the running state. The resource management involved is as follows: according to the service requirements, the resource requirements of the network slice are obtained, the system generates a network slice based on the template and pre - allocates resources based on the resource requirements. The resource management of the network slice needs to be able to obtain the average values of the wireless and computing resource requirements of the network slice and complete the pre - allocation of network slice resources accordingly.

[0049] In the network slice operation stage, the system performs operations such as monitoring, updating, migrating, scaling in / out, etc. on the running state of the slice. In addition, the system also supports rapid service redeployment and resource re - allocation according to changes in business load. For wireless and edge computing resources, the system needs to provide efficient dynamic resource allocation. For wireless protocol - processing resources, multiple logical resource sets need to be sliced out on the physical resource pool.

[0050] In the network slice termination phase, it mainly involves the de-instantiation of functions and the recycling of resources when the service goes offline, as well as operations such as rating resources and generating historical records. The termination of one network slice should not affect the normal services of other slice services. Since edge computing services need to be wirelessly transmitted to the edge computing server first and then processed, the wireless transmission performance will restrict the edge computing performance and even the overall performance of the network slice. An incentive mechanism that encourages network slices and terminals to participate in cooperation needs to be designed for the network slice.

[0051] In this embodiment, it is intended to draw on the ideas and concepts of the architecture method, and adopt a combination of qualitative and quantitative methods to study the overall requirements of the 5G mobile system in the context of joint urban operations in an informationized local war from aspects such as the global perspective, combat perspective, equipment perspective, technology perspective, and human resources perspective. Analyze the main functions that the system should possess in various scenarios of urban combat, explore the equipment system that the 5G system matching the combat mission should build, study the key technologies that the system should develop or introduce and the technical indicators that it should possess, and analyze the human resources that should be equipped to ensure the combat operation of the system.

[0052] This specific embodiment is only an interpretation of the present invention, and it is not a limitation of the present invention. After reading this specification, those skilled in the art can make modifications to this embodiment without creative contributions as needed, but as long as it is within the scope of the claims of the present invention, it is protected by the patent law.

Claims

1. A 5G mobile system network slice resource scheduling method, characterized by: The following steps are involved: S1. Analyze the 5G network resource requirements for different combat missions in urban combat scenarios, and divide the resource requirements into three typical scenarios according to the combat mission types: multi-dimensional perception of battlefield situation, coordinated combat with or without personnel, and battlefield Internet of Things, and determine the network slice service level agreement, business attributes, and performance requirements corresponding to each scenario; S2. Manage the entire life cycle of 5G mobile system network slices according to the network slice service level agreement corresponding to each scenario; S3. Utilize the dynamic changes of different combat missions in urban combat scenarios to adjust network slice resource allocation in real time and optimize resource scheduling strategies to meet the real-time needs of combat missions.

2. According to claim 1, a 5G mobile system network slice resource scheduling method is characterized by: In the step S2, the network slice of the 5G mobile system is managed throughout its life cycle, specifically including the management of the access and generation phase, operation phase and termination phase of the network slice; in the access and generation phase management of the network slice, the corresponding network slice template is matched with the business demand to determine whether the system has sufficient spare resources to build the network slice. If so, an instantiation operation is performed, otherwise access to the network slice is denied; in the operation phase management of the network slice, the operation status of the slice is monitored, updated, migrated, expanded / reduced, and rapid business redeployment and resource reallocation are performed according to changes in business load, so as to achieve efficient dynamic allocation of wireless and edge computing resources; in the termination phase management of the network slice, the functions are de-instantiated, resources are recycled, rated and historical records are generated to ensure that the termination of a network slice does not affect the normal services of other slice businesses.

3. According to a 5G mobile system network slice resource scheduling method according to claim 1, it is characterized by: The service attributes in step S1 include slice type, air interface parameters and differentiated network functions, and the performance requirements include latency, throughput and packet loss rate.

4. According to a 5G mobile system network slice resource scheduling method according to claim 2, it is characterized by: In the full life cycle management of 5G mobile system network slices, the access and generation phase of network slices also includes maintaining and updating a network slice template library, where the templates in the network slice template library contain descriptions of virtual network function components, standardized interaction interfaces between components, and required network resources.

5. According to claim 2, a 5G mobile system network slice resource scheduling method is characterized by: In the full life cycle management of 5G mobile system network slices, the operation phase of the network slices processes wireless protocol resources by dividing the physical resource pool into multiple logical resource sets.

6. A 5G mobile system network slice resource scheduling method according to claim 2, characterized in that: In the full life cycle management of 5G mobile system network slices, the termination stage of network slices also includes the design of incentive mechanisms to encourage network slices and terminals to participate in collaboration.

7. According to claim 1, a 5G mobile system network slice resource scheduling method is characterized by: The real-time adjustment of network slice resource allocation in step S3 is to verify and optimize the resource scheduling strategy by combining the 5G network virtual simulation platform and the 5G mobile system implementation.

8. A 5G mobile system network slice resource scheduling method according to claim 7, characterized in that: The 5G mobile system adopts a horizontal multi-level decoupling architecture to decouple transmission waveforms, network switching capabilities, and business service capabilities to form componentized fine-grained functional services. At the same time, it matches and combines them according to the needs of combat scenarios to achieve differentiated and hierarchical design.

9. According to claim 1, a 5G mobile system network slice resource scheduling method is characterized by: The resource scheduling strategy optimized in step S3 is based on the dynamic changes of the urban combat process and the real-time feedback of the combat tasks, which is used to ensure that the network slice resources can quickly adapt to the transformation of the combat scenario and the changes in task requirements.

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