An AI-Enhanced 6G Network Spectrum Management System and Method

Abstract

The present invention relates to the field of artificial intelligence technology, and discloses a 6G network spectrum management system and method enhanced by artificial intelligence. The system includes a spectrum data acquisition module, a spectrum situation map generation module, a task priority determination module, a dynamic spectrum allocation module, and a spectrum management status determination module. It divides the global area of the 6G network in multiple dimensions, collects the spectrum data of each 6G network task in the local area, determines the occupied and idle resources through data enhancement processing, and generates a spectrum situation map; identifies task characteristics to determine priorities, monitors task traffic in real time to clarify the target spectrum resources, and performs dynamic spectrum allocation; reclaims and reallocates spectrum resources according to the task termination time, updates the spectrum situation map, and evaluates and determines the 6G network spectrum management status from multiple dimensions. The present invention can improve the spectrum utilization efficiency during network spectrum management.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and particularly to a 6G network spectrum management system and method enhanced by artificial intelligence. Background Art

[0002] With the booming development of emerging technologies such as the Internet of Things, artificial intelligence, and virtual reality, future communication scenarios will present the characteristics of diversification and complexity. A large number of intelligent devices are connected to the network, and the data traffic generated by the intelligent devices is huge, posing extremely high requirements for network bandwidth and transmission rate. Therefore, it is necessary to tap the potential of spectrum resources and improve spectrum utilization efficiency.

[0003] The existing network spectrum management technology pre-allocates specific frequency bands to specific services or users, and the frequency band division is relatively fixed. In actual applications, during certain periods, the services using the allocated frequency bands may have low loads, resulting in idle and wasted spectrum resources, while other services with urgent needs cannot obtain the frequency band resources and cannot adapt to the dynamic changes in service requirements, thus resulting in low spectrum utilization efficiency in network spectrum management. Summary of the Invention

[0004] The present invention provides a 6G network spectrum management system and method enhanced by artificial intelligence, and its main purpose is to solve the problem of low spectrum utilization efficiency in network spectrum management.

[0005] To achieve the above object, a 6G network spectrum management system enhanced by artificial intelligence provided by the present invention includes a spectrum data acquisition module, a spectrum situation map generation module, a task priority determination module, a dynamic spectrum allocation module, and a spectrum management state determination module. Among them,

[0006] The spectrum data acquisition module is used to divide the global area of the 6G network obtained in advance into local network areas, and collect the spectrum data corresponding to each 6G network task in the local network areas;

[0007] The spectrum situation map generation module is used to perform data enhancement processing on the spectrum data to obtain spectrum enhanced data, determine the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the spectrum enhanced data, and generate a spectrum situation map of the 6G network according to the spectrum occupied resources and the spectrum idle resources;

[0008] The task priority determination module is used to identify the task characteristics of each 6G network task and determine the task priority of each 6G network task according to the task characteristics;

[0009] The dynamic spectrum allocation module is used to monitor the task traffic of each 6G network task in real time, determine the target spectrum resources corresponding to the task traffic, and perform dynamic spectrum allocation for 6G network tasks by using the spectrum situation map, the task priority, and the target spectrum resources;

[0010] The spectrum management status determination module is used to perform spectrum resource reallocation on the 6G network tasks after the spectrum resources are allocated based on the task termination time of the 6G network tasks, update the spectrum situation map according to the spectrum resources of the 6G network tasks after the reallocation, and determine the spectrum management status of the 6G network by using the updated spectrum situation map.

[0011] Optionally, when the spectrum data acquisition module divides the globally acquired 6G network area into local network areas, it is used for:

[0012] Identify the user areas in the globally acquired 6G network area, divide the globally acquired 6G network area into area levels according to the density of the user areas, and obtain the first target network area;

[0013] Identify the task types in the first target network area, divide the target network area into area tasks according to the task types, and obtain the second target network area;

[0014] Determine the local network area according to the second target network area.

[0015] Optionally, when the spectrum situation map generation module determines the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the spectrum enhancement data, it is used for:

[0016] Extract the signal features of the spectrum enhancement data, and identify the band signal activities corresponding to the 6G network tasks according to the signal features;

[0017] Determine the band characteristics of the 6G network tasks according to the band signal activities, and determine the initial spectrum occupied resources of the 6G network tasks through the band characteristics;

[0018] Determine the initial spectrum idle resources based on the initial spectrum range of the 6G network tasks and the spectrum occupied resources, and monitor the signal activity factor of the initial spectrum idle resources according to a preset sliding window;

[0019] Update the initial spectrum occupied resources and the initial spectrum idle resources according to the signal activity factor to obtain the spectrum occupied resources and spectrum idle resources corresponding to the 6G network tasks.

[0020] Optionally, when generating the spectrum situation map of the 6G network based on the spectrum occupied resources and the spectrum idle resources, the spectrum situation map generation module is configured to:

[0021] Extract the 6G network task types corresponding to the spectrum occupied resources and the spectrum idle resources;

[0022] Generate the occupied frequency band identifier of the spectrum occupied resources and the idle frequency band identifier corresponding to the spectrum idle resources according to the 6G network task types;

[0023] Determine the spectrum situation map of the 6G network according to the 6G network task types, the occupied frequency band identifier, and the idle frequency band identifier;

[0024] Trigger the situation identifier by using a preset refresh factor, and refresh the spectrum situation map according to the situation identifier to obtain the dynamic spectrum situation map of the 6G network.

[0025] Optionally, when determining the task priority of each 6G network task according to the task characteristics, the task priority determination module is configured to:

[0026] Generate a feature vector according to the task characteristics, and determine a feature weight vector according to the feature vector;

[0027] Calculate the task score of each 6G network task according to the feature vector and the feature weight vector;

[0028] Calculate the dynamic task score of each 6G network task through the task score and the pre-acquired network state characteristics: Wherein, is the dynamic task score of the th 6G network task, is the task score of the th 6G network task, is the feature state weight in the th network state feature, is the state positive coefficient, is the feature value in the th network state feature, is the feature normal threshold in the th network state feature, is the number of features of the network state feature;

[0029] Determine the task priority of each 6G network task according to the dynamic task score.

[0030] Optionally, when determining the target spectrum resources corresponding to the task traffic, the dynamic spectrum allocation module is configured to:

[0031] Identify the traffic type corresponding to the task traffic;

[0032] Determine the burst factor of the task traffic according to the traffic type;

[0033] Identify the spectrum idle resources in the spectrum situation map according to the burst factor;

[0034] Identify the idle frequency band bandwidth in the spectrum idle resources, and determine the target spectrum resources corresponding to the task traffic according to the idle frequency band bandwidth.

[0035] Optionally, when the dynamic spectrum allocation module performs dynamic spectrum allocation for 6G network tasks by using the spectrum situation map, the task priority, and the target spectrum resources, it is used for:

[0036] Determine the spectrum resource set and the spectrum state function according to the spectrum situation map;

[0037] Generate a spectrum allocation decision function according to the task priority and the frequency band to be allocated;

[0038] Generate a dynamic spectrum allocation objective function by using the spectrum state function, the spectrum allocation decision function, and the data transmission rate requirements of the 6G network tasks obtained in advance: Among them, To maximize the sum of the priority-weighted data transmission rates of all allocated tasks in the network, Is the maximum value function, Is the task Is allocated to the frequency band , Is the task 's task priority, Is the task 's data transmission rate, Is the frequency band in the spectrum resource set , Is the task 's target spectrum bandwidth in the target spectrum resources, Is the state of the frequency band In the spectrum state function, Is the frequency band 's channel capacity, Is the number of tasks, Is the number of frequency bands;

[0039] Determine the frequency band to be allocated according to the maximum value in the dynamic spectrum allocation objective function, and perform dynamic spectrum allocation for 6G network tasks according to the frequency band to be allocated.

[0040] Optionally, when the spectrum management status determination module 105 reallocates spectrum resources for the 6G network tasks after allocating spectrum resources based on the task termination time of the 6G network tasks, it is used for:

[0041] Determine the spectrum release status time according to the task termination time and a preset warning time threshold;

[0042] Statistically analyze the released bandwidth of each 6G network task at the spectrum release status time;

[0043] Determine the idle frequency band range of each 6G network task according to the released bandwidth;

[0044] Determine the allocation level of each 6G network task according to the released bandwidth and the task priority: Wherein, is the allocation level, is the task priority of task is the task priority of task is the frequency band in the spectrum resource set is the resource reservation coefficient;

[0045] Reallocate spectrum resources to the idle frequency band range in sequence according to the allocation level.

[0046] Optionally, when the spectrum management status determination module updates the spectrum situation map according to the spectrum resources of the 6G network tasks after reallocation, it is used for:

[0047] Compare the spectrum resources of the 6G network tasks after reallocation with the original spectrum information in the spectrum situation map to obtain spectrum change data;

[0048] Mark information changes on the spectrum situation map according to the spectrum change data;

[0049] Determine the spectrum situation map after change marking as the updated spectrum situation map.

[0050] To solve the above problems, the present invention also provides a 6G network spectrum management method based on artificial intelligence enhancement, and the method includes:

[0051] Divide the globally acquired 6G network area into local network areas, and collect spectrum data corresponding to each 6G network task in the local network areas;

[0052] ​Perform data augmentation processing on the spectrum data to obtain spectrum-enhanced data. Determine the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the spectrum-enhanced data, and generate a spectrum situation map of the 6G network based on the spectrum occupied resources and the spectrum idle resources;

[0053] Identify the task characteristics of each 6G network task, and determine the task priority of each 6G network task according to the task characteristics;

[0054] Real-time monitor the task traffic of each 6G network task, and determine the target spectrum resources corresponding to the task traffic. Perform dynamic spectrum allocation for the 6G network tasks by using the spectrum situation map, the task priority, and the target spectrum resources;

[0055] Based on the task termination time of the 6G network tasks, perform spectrum resource reallocation for the 6G network tasks after spectrum resource allocation. Update the spectrum situation map according to the spectrum resources of the 6G network tasks after reallocation, and determine the spectrum management status of the 6G network by using the updated spectrum situation map.

[0056] In the embodiment of the present invention, by collecting the spectrum data of the local network area after global area division and performing data augmentation processing, it is possible to more accurately and precisely determine the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task; identify the task characteristics of each 6G network task and determine the task priority accordingly, so that key services and services with a greater impact on network performance can be preferentially guaranteed during spectrum allocation; real-time monitor the task traffic and determine the target spectrum resources, and perform dynamic spectrum allocation in combination with the spectrum situation map and the task priority, which can adapt to the dynamic changes of service traffic in the 6G network; based on the task termination time, reallocate the tasks with allocated spectrum resources, which can timely recycle idle spectrum resources and reallocate them to tasks with requirements; update the spectrum situation map according to the spectrum resources after reallocation, which can reflect the changes in the network spectrum status in real time. Determining the spectrum management status based on the updated spectrum situation map enables network managers to continuously master the dynamic situation of the network spectrum. Therefore, the 6G network spectrum management system and method based on artificial intelligence enhancement proposed by the present invention can solve the problem of low spectrum utilization efficiency in network spectrum management. Description of the Drawings

[0057] Figure 1 It is a functional module diagram of a 6G network spectrum management system based on artificial intelligence enhancement provided by an embodiment of the present invention;

[0058] Figure 2 It is a flowchart of an operation method of a 6G network spectrum management system based on artificial intelligence enhancement provided by an embodiment of the present invention.

[0059] The realization, functional features, and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. Specific Embodiments

[0060] It should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0061] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0062] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The singular forms "a", "the", and "said" used in the embodiments of the present invention and the appended claims are also intended to include the plural forms unless the context clearly dictates otherwise. "Plural" generally includes at least two.

[0063] Depending on the context, the words "if", "when" as used herein can be interpreted as "when" or "while" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detected (stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detected (stated condition or event)" or "in response to detecting (stated condition or event)".

[0064] In addition, the step timings in the following method embodiments are only for example and not strictly limited.

[0065] In fact, the server devices deployed in the AI-enhanced 6G network spectrum management system may consist of one or more devices. The above-mentioned AI-enhanced 6G network spectrum management system can be implemented as: business instances, virtual machines, or hardware devices. For example, the AI-enhanced 6G network spectrum management system can be implemented as a business instance deployed on one or more devices in a cloud node. Simply put, the AI-enhanced 6G network spectrum management system can be understood as a software deployed on a cloud node, which is used to provide the AI-enhanced 6G network spectrum management system for each client. Or, the AI-enhanced 6G network spectrum management system can also be implemented as a virtual machine deployed on one or more devices in a cloud node. An application software for managing each client is installed in the virtual machine. Or, the AI-enhanced 6G network spectrum management system can also be implemented as a server composed of many identical or different types of hardware devices, and one or more hardware devices are set to provide the AI-enhanced 6G network spectrum management system for each client.

[0066] In terms of implementation form, the AI-enhanced 6G network spectrum management system and the client adapt to each other. That is, if the AI-enhanced 6G network spectrum management system is an application installed on a cloud service platform, then the client is a client that establishes a communication connection with this application; or if the AI-enhanced 6G network spectrum management system is implemented as a website, then the client is implemented as a web page; or if the AI-enhanced 6G network spectrum management system is implemented as a cloud service platform, then the client is implemented as a small program in an instant messaging application.

[0067] Refer to Figure 1 As shown, it is a functional module diagram of the AI-enhanced 6G network spectrum management system provided by an embodiment of the present invention.

[0068] The AI-enhanced 6G network spectrum management system 100 of the present invention can be set in a cloud server. In terms of implementation form, it can be used as one or more service devices, or can be installed as an application on the cloud (such as the server of a mobile service operator, a server cluster, etc.), or can also be developed as a website. According to the functions to be achieved, the AI-enhanced 6G network spectrum management system 100 can include a spectrum data acquisition module 101, a spectrum situation map generation module 102, a task priority determination module 103, a dynamic spectrum allocation module 104, and a spectrum management status determination module 105. The modules of the present invention can also be called units, which refer to a series of computer program segments that can be executed by a device processor and can complete fixed functions, and are stored in the memory of the device.

[0069] In the embodiments of the present invention, in the 6G network spectrum management system enhanced by artificial intelligence, each of the above modules can be independently implemented and called by other modules. Here, the call can be understood as that a certain module can be connected to multiple modules of another type and provide corresponding services for the multiple modules it is connected to. For example, the sharing and evaluation module can call the same information collection module to obtain the information collected by the information collection module. Based on the above characteristics, in the 6G network spectrum management system enhanced by artificial intelligence provided by the embodiments of the present invention, without modifying the program code, the applicable range of the architecture of the 6G network spectrum management system enhanced by artificial intelligence can be adjusted by adding modules and directly calling them, so as to achieve cluster-level horizontal expansion, so as to achieve the purpose of quickly and flexibly expanding the 6G network spectrum management system enhanced by artificial intelligence. In practical applications, the above modules can be set in the same device or different devices, or can be set in virtual devices, such as service instances in cloud servers.

[0070] The following will be described in detail for each component and specific working process of the 6G network spectrum management system enhanced by artificial intelligence in combination with specific embodiments:

[0071] The spectrum data acquisition module 101 is used to divide the globally acquired 6G network area into local network areas and collect the spectrum data corresponding to each 6G network task in the local network area.

[0072] In the embodiments of the present invention, the globally acquired 6G network area refers to the coverage range of the entire 6G network, including all users, devices, base stations, and various communication services and tasks in the network. The local network area refers to a relatively small area with a specific user density and task type obtained after two divisions in the globally acquired 6G network area.

[0073] In the embodiments of the present invention, when the spectrum data acquisition module 101 divides the globally acquired 6G network area into local network areas, it is used for:

[0074] Identify the user areas in the globally acquired 6G network area, divide the globally acquired 6G network area into area levels according to the density of the user areas, and obtain the first target network area;

[0075] Identify the task types in the first target network area, divide the target network area into area tasks according to the task types, and obtain the second target network area;

[0076] Determine the local network area according to the second target network area.

[0077] Specifically, in the global area of the 6G network, the user area is identified, that is, the area where users are concentrated is determined. Then, the global area is divided into area levels according to the density of the user area, and the first target network area is obtained. That is, the density is between A and B, which is the first level, between B and C is the second level, and so on. Thus, the area divided by levels is obtained. Then, in this area, it is divided according to the task type, and the main business types in different areas are investigated. For example, in the bustling urban areas, large-traffic services such as high-definition video entertainment and financial transactions may be the main ones; while in industrial parks, there are mostly industrial Internet of Things-related services, such as remote equipment monitoring and data transmission of automated production lines.

[0078] Specifically, after obtaining the first target network area, the task types in the first target network area are identified. The task types include different service requirements such as high-definition video transmission, Internet of Things device communication, and intelligent traffic control. The first target network area is divided into area tasks according to the task types, and the second target network area is obtained. For example, the area where high-definition video transmission tasks that require high bandwidth and low latency are concentrated can be divided into a specific task area; while the area where Internet of Things device communication tasks are concentrated is divided into another task area. Thus, network resource allocation and management can be more targeted according to the characteristics and requirements of different tasks. Then, the local network area is determined according to the second target network area, that is, the basic unit for fine-grained management and resource allocation of the global area. By dividing the global area into multiple local network areas, the network resource configuration can be optimized more flexibly according to the specific conditions of each local area, improving network performance and service quality.

[0079] Furthermore, there are various different types of tasks in the 6G network, indicating that each specific task needs to be individually concerned and data collected. And spectrum data refers to various information related to the spectrum resources used by the 6G network, including but not limited to frequency band information, signal strength, bandwidth, and spectrum utilization rate. The frequency band information is the specific frequency band range used by the task, the signal strength refers to the strength of the signal on the corresponding frequency band; the bandwidth is the size of the spectrum bandwidth occupied by the task; the spectrum utilization rate is a measure of the utilization efficiency of the spectrum resources occupied by the task. Among them, according to the frequency band range of the 6G network, a high-precision spectrum analyzer that supports the corresponding frequency band is selected, and then the spectrum data of each network task in each local network area is collected through the spectrum analyzer.

[0080] Even further, in order to improve the data quality of the collected spectrum data, the spectrum data needs to be processed to make the spectrum data high-quality data.

[0081] The spectrum situation map generation module 102 is configured to perform data enhancement processing on the spectrum data to obtain spectrum-enhanced data, determine the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the spectrum-enhanced data, and generate a spectrum situation map of the 6G network based on the spectrum occupied resources and the spectrum idle resources.

[0082] In the embodiment of the present invention, the spectrum-enhanced data refers to the data obtained by performing data enhancement processing on the spectrum data. The data enhancement processing includes operations such as noise removal and normalization to ensure the quality and consistency of the data. That is, an adaptive filtering algorithm of artificial intelligence is used to remove the noise in the spectrum data for the complex and changeable 6G spectrum environment noise. The adaptive filtering algorithm can analyze the noise characteristics in real time, automatically adjust the filter parameters, effectively eliminate various noise interferences, improve the quality of the spectrum data, and provide a reliable data basis for subsequent processing. And an artificial intelligence algorithm is used to monitor the collected spectrum data in real time. By learning the normal data mode, abnormal data points can be quickly identified. Once an abnormality is found, such as data loss or error, an intelligent repair algorithm is used to repair according to the data context and historical rules, so as to ensure the integrity and accuracy of the spectrum data.

[0083] Furthermore, the 6G network needs to support a large number of different types of tasks. By analyzing the spectrum-enhanced data to accurately understand the spectrum occupancy of each task, network operators can more reasonably allocate spectrum resources according to the priority and actual needs of the tasks.

[0084] In the embodiment of the present invention, the spectrum occupied resources refer to the spectrum range actually used by a specific 6G network task during the execution process. The spectrum idle resources refer to the spectrum part that is not occupied by the current 6G network task within the entire available spectrum range. In the total spectrum range, after removing the spectrum resources occupied by each 6G network task, the remaining frequency band is the spectrum idle resources.

[0085] In the embodiment of the present invention, when the spectrum situation map generation module 102 determines the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the spectrum-enhanced data, it is configured to:

[0086] Extract the signal features of the spectrum-enhanced data, and identify the band signal activities corresponding to the 6G network tasks according to the signal features;

[0087] Determine the band characteristics of the 6G network tasks according to the band signal activities, and determine the initial spectrum occupied resources of the 6G network tasks through the band characteristics;

[0088] Determine the initial spectrum idle resources based on the initial spectrum range of the 6G network task and the spectrum occupied resources, and monitor the signal activity factor of the initial spectrum idle resources according to a preset sliding window;

[0089] Update the initial spectrum occupied resources and the initial spectrum idle resources according to the signal activity factor to obtain the spectrum occupied resources and spectrum idle resources corresponding to the 6G network task.

[0090] Specifically, extract signal features from the spectrum enhancement data. The signal features include, but are not limited to, frequency, amplitude, phase, and broadband information. Then the signal features can reflect the characteristics and behaviors of the signals. Furthermore, identify the signal activity of the frequency band corresponding to the 6G network task based on the extracted signal features. For example, by analyzing the amplitude feature, if the amplitude of the signal in a certain frequency band exceeds a certain threshold, it can be determined that there is signal activity in this frequency band and it may be used by a certain 6G network task. Then determine the frequency band features of the 6G network task according to the frequency band signal activity. The frequency band features include information such as the central frequency, bandwidth, and signal intensity distribution of the signal activity. Determine the initial spectrum occupied resources of the 6G network task through the frequency band features. For example, if it is found that a frequency band with signal activity is between, and has certain signal intensity and bandwidth characteristics, then the frequency band can be initially determined as the initial spectrum occupied resources of the 6G network task. And based on the known total spectrum range available for the 6G network and the determined initial spectrum occupied resources, calculate the initial spectrum idle resources. That is, subtract the initial spectrum occupied resources from the total spectrum range to obtain the initial spectrum idle resources.

[0091] Specifically, in order to more accurately understand the actual usage of the initial spectrum idle resources, a preset sliding window is used to monitor its signal activity factor. The sliding window is an observation window that slides in the time or frequency domain. By analyzing the signal features within this window, the signal activity factor can be obtained. The signal activity factor can reflect information such as the intensity and frequency of signal activity within the window. For example, determine the signal activity factor by calculating indicators such as the average amplitude of the signal within the sliding window and the frequency of signal activity. According to the monitored signal activity factor, update the initial spectrum occupied resources and the initial spectrum idle resources. If a relatively high signal activity factor is monitored in a certain area of the initial spectrum idle resources, it indicates that there may be signal activity that was not recognized before in this area, and this area needs to be adjusted from the initial spectrum idle resources to the spectrum occupied resources; conversely, if the signal activity factor in some areas of the initial spectrum occupied resources decreases to a certain extent, it may indicate that the task activity in this area has decreased or stopped, and it can be adjusted to the spectrum idle resources. Through the dynamic update process, it is possible to more accurately determine the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task.

[0092] Furthermore, in order to intuitively understand the actual distribution of spectrum resources, reasonably plan the network coverage, adjust the base station layout, and allocate spectrum resources, it is necessary to display the distribution of occupied spectrum resources and idle spectrum resources in the 6G network.

[0093] In the embodiments of the present invention, the spectrum situation map is a visual chart that intuitively shows the usage status of spectrum resources in the 6G network. It graphically presents which frequency bands are occupied (occupied spectrum resources), which frequency bands are in an idle state (idle spectrum resources) within the entire 6G network frequency band range, and the relationships between these occupied and idle states and different 6G network task types.

[0094] In the embodiments of the present invention, when the spectrum situation map generation module 102 generates a spectrum situation map of the 6G network based on the occupied spectrum resources and the idle spectrum resources, it is used for:

[0095] Extracting the 6G network task types corresponding to the occupied spectrum resources and the idle spectrum resources;

[0096] Generating an occupied frequency band identifier for the occupied spectrum resources and an idle frequency band identifier for the idle spectrum resources according to the 6G network task types;

[0097] Determining the spectrum situation map of the 6G network according to the 6G network task types, the occupied frequency band identifier, and the idle frequency band identifier;

[0098] Triggering a situation identifier using a preset refresh factor, and refreshing the spectrum situation map according to the situation identifier to obtain a dynamic spectrum situation map of the 6G network.

[0099] Specifically, from the information related to the determined occupied spectrum resources and idle spectrum resources, extract the corresponding 6G network task types. Each 6G network task has its specific type, such as high-definition video transmission, Internet of Things device communication, intelligent transportation control, mobile voice call, etc. For example, the occupied spectrum resources on a certain frequency band may be generated by a high-definition video transmission task. Then, according to the extracted 6G network task types, generate an occupied frequency band identifier for the occupied spectrum resources. The occupied frequency band identifier can include various information, such as the name of the task type, the priority of the task, the specific frequency range of the occupied frequency band, etc. For example, for the frequency band occupied by the high-definition video transmission task, it can be labeled as high-definition video transmission (priority: medium, frequency band range: ); Similarly, generate an idle frequency band identifier for the idle spectrum resources. The idle frequency band identifier mainly includes information such as the frequency range of the idle frequency band and whether it can be preferentially used by a specific task type. For example, idle frequency band (can be used for low-priority Internet of Things tasks, frequency band range: ), the identifier can clearly indicate the status and usage of the spectrum resources.

[0100] Specifically, by comprehensively considering the information of 6G network task types, occupied frequency band identifiers, and idle frequency band identifiers, the spectrum situation map of the 6G network is determined. In the spectrum situation map, different task types, occupied frequency bands, and idle frequency bands are usually represented by different colors, graphics, or symbols. For example, the frequency band occupied by the high-definition video transmission task is represented by red, the frequency band occupied by the Internet of Things device communication task is represented by blue, and the idle frequency band is represented by green. At the same time, the specific frequency range of each frequency band and the relevant task type identifier are marked on the map, so that the entire spectrum situation map intuitively and clearly shows the usage of the spectrum resources of the 6G network. And the refresh factor is used to trigger the situation identifier. The refresh factor is a preset parameter that can be determined according to factors such as time interval and network state change. When the refresh condition is met, the situation identifier will be triggered, and the situation identifier contains information about the change in the status of the spectrum resources. For example, the access of a new task leads to a change in the occupied spectrum resources, or the increase in the idle spectrum resources after some tasks end, etc. Then, the spectrum situation map is refreshed according to the situation identifier, which means updating elements such as colors, graphics, and identifiers in the spectrum situation map according to the latest status of the spectrum resources to reflect the dynamic changes of the spectrum resources in the 6G network. For example, if a new intelligent transportation control task accesses and occupies an idle frequency band, the spectrum situation map will correspondingly change the color of the frequency band from green (idle) to a specific color representing the intelligent transportation control task and update the relevant identifier information, thus obtaining the dynamic spectrum situation map of the 6G network to display the spectrum usage of the network in real time.

[0101] Furthermore, the 6G network needs to support various different types of tasks, such as autonomous driving, remote medical treatment, high-definition video streaming, Internet of Things data transmission, etc. These tasks have different requirements and demands for network resources. In order to ensure the smooth execution of critical tasks, tasks with extremely high requirements for latency and reliability will be assigned higher priorities to ensure that they can obtain sufficient network resources first.

[0102] The task priority determination module 103 is used to identify the task characteristics of each 6G network task and determine the task priority of each 6G network task according to the task characteristics.

[0103] In the embodiments of the present invention, the task characteristics include but are not limited to data real-time characteristics, data volume characteristics, and data reliability characteristics. Among them, the task characteristics of network tasks can be obtained from a pre-stored storage area through computer statements with data scraping functions (such as Java statements, Python statements, etc.). Then, the Internet of Things sensors or real-time video stream monitoring systems upload data to the storage area every few seconds, and the storage area includes but is not limited to databases and blockchains.

[0104] Furthermore, the 6G network resources are limited, and different tasks have different resource requirements and importance. Therefore, it is necessary to preferentially allocate limited resources such as spectrum, bandwidth, and computing power to high-priority tasks to ensure that critical tasks can obtain sufficient resources, thereby guaranteeing the efficient operation of the network.

[0105] In the embodiments of the present invention, the task priority refers to a relative level identifier assigned to each task in the 6G network according to factors such as the importance, urgency, and network resource requirements of the task.

[0106] In the embodiments of the present invention, when the task priority determination module 103 determines the task priority of each 6G network task according to the task characteristics, it is used for:

[0107] Generating a feature vector according to the task characteristics and determining a feature weight vector according to the feature vector;

[0108] Calculating the task score of each 6G network task according to the feature vector and the feature weight vector;

[0109] Calculating the dynamic task score of each 6G network task through the task score and the pre-obtained network state characteristics: Wherein, is the dynamic task score of the th 6G network task, is the task score of the th 6G network task, is the feature state weight in the th network state feature, is the state positive coefficient, is the feature value in the th network state feature, is the feature normal threshold in the th network state feature, is the number of features of the network state feature;

[0110] Determining the task priority of each 6G network task according to the dynamic task score.

[0111] Specifically, let the task set be For each task its task feature vector is defined where represents the number of task features. For example, can represent the real-time requirement, represents the data volume size, represents the reliability requirement, etc., and a feature weight vector is constructed, where and Then, the weights can be determined by the Analytic Hierarchy Process (AHP). By pairwise comparing the relative importance of different features, a judgment matrix is constructed, where represents the feature relative to the feature The importance degree is calculated according to the judgment matrix to obtain the eigenvector For example, by calculating the eigenvector corresponding to the largest eigenvalue of the judgment matrix and performing normalization to obtain the weight vector Thus, according to the eigenvector and the feature weight vector, the task score of each 6G network task is calculated, and the task priority score is the priority score of task obtained by calculating the weighted inner product of the task feature vector and the feature weight vector, that is . .

[0112] Specifically, considering the network state factor, let the network state vector For example can represent the network congestion degree, represents the available spectrum resource amount, etc., and a network state influence weight vector is constructed, where and The adjustment coefficient of the network state on the task priority can be calculated by the following formula, that is where is a function of the network state parameter used to describe the influence degree of this network state parameter on the task priority. For example, when the network congestion degree increases, the priority of tasks with high real-time requirements should be further improved. Let where is a positive coefficient, is the normal threshold of the network congestion degree. Then the adjusted task priority score can be obtained, and then according to the adjusted priority score the task priority level is re-determined , to achieve dynamic adjustment of task priorities and adapt to the complex environment of 6G networks, a set of threshold values for priority level division is set , where represents the number of priority levels, and . For example, if the priority levels are divided into three levels: high, medium, and low, we can set . According to the task priority score to determine its priority level , then , such as . , then the priority level of this task is medium.

[0113] Further, different tasks in 6G networks have different resource requirements. By real-time monitoring of task traffic, we can accurately understand the actual network resources occupied by each task, avoid resource waste or over-allocation, and enable limited network resources to better meet the needs of various tasks.

[0114] The dynamic spectrum allocation module 104 is used to real-time monitor the task traffic of each 6G network task, determine the target spectrum resources corresponding to the task traffic, and perform dynamic spectrum allocation for 6G network tasks using the spectrum situation map, the task priority, and the target spectrum resources.

[0115] In the embodiment of the present invention, the task traffic refers to the flow situation of the data volume generated during the transmission of tasks in 6G networks, including indicators such as data transmission rate, packet size, and quantity, which reflects the degree of network resource occupation by tasks. Among them, the base stations in 6G networks can collect task traffic information transmitted through them, monitor the wireless link data transmission situation between the base station and the terminal device, or collect traffic data from various network nodes and devices through traffic sensors, and store it in the big data platform, so as to monitor the real-time task traffic of each 6G network task.

[0116] Further, different 6G network tasks have different requirements for spectrum resources. Therefore, the most suitable spectrum is allocated according to the specific requirements of the tasks, so as to ensure that all types of tasks can obtain the required quality of service.

[0117] In the embodiment of the present invention, the target spectrum resources refer to the specific frequency bands selected from the available spectrum resources in the 6G network for a specific task according to the specific characteristics of the task traffic (including traffic type, burst factor, etc.) and capable of meeting the data transmission requirements of the task.

[0118] In the embodiment of the present invention, when the dynamic spectrum allocation module 104 determines the target spectrum resources corresponding to the task traffic, it is used for:

[0119] Identify the traffic type corresponding to the task traffic;

[0120] Determine the burst factor of the task traffic according to the traffic type;

[0121] Identify the spectrum idle resources in the spectrum situation map according to the burst factor;

[0122] Identify the bandwidth of the idle frequency band among the spectrum idle resources, and determine the target spectrum resources corresponding to the task traffic according to the bandwidth of the idle frequency band.

[0123] Specifically, different 6G network tasks will generate different types of traffic, such as voice calls, video streams, file transfers, real-time monitoring data, etc. The burst factor is a parameter used to describe the burst characteristics of task traffic. Different traffic types have different burst degrees. For example, real-time video streams may experience a sudden increase in data volume at certain moments due to changes in the video content, etc., but generally they are relatively continuous; while some interactive applications, such as data transmission in online games, may generate instantaneous burst traffic when players perform certain operations, and then return to a lower level. Therefore, according to the characteristics of the traffic type, the corresponding burst factor can be determined. This factor reflects the possibility and degree of large changes in traffic in a short period of time. For example, indicators such as the ratio of the peak value to the average value of the traffic and the standard deviation of the traffic change are used to measure the burst degree.

[0124] Specifically, the burst factor determines the strategy for finding idle resources in the spectrum. If the burst factor of the task traffic is high, it means that the task may require a large amount of spectrum resources in a short period of time to meet the burst traffic demand. Therefore, it is necessary to find a large and continuous spectrum idle area in the spectrum situation map to ensure that it can cope with possible traffic bursts; for tasks with a low burst factor, some small and scattered spectrum idle resources can be considered because their demand for spectrum resources is relatively stable and uniform, and there is no need to reserve a large amount of continuous spectrum. After determining the idle resources in the spectrum, identify the bandwidth size of each idle frequency band in the idle resources, and according to the characteristics and requirements of the task traffic, combined with the previously determined traffic type, burst factor and other information, select a suitable idle frequency band as the target spectrum resource. If the task is a high-definition video stream and requires a high data transmission rate to ensure smooth video playback, then select an idle frequency band with a large enough bandwidth to meet the bit rate requirements of the video stream.

[0125] In the embodiments of the present invention, according to the actual spectrum usage situation, the idle spectrum resources are flexibly allocated to 6G network tasks with requirements, avoiding waste of spectrum resources. For tasks with high real-time requirements, spectrum resources with good delay characteristics are allocated, so that the accurate matching of spectrum resources and task requirements can be achieved, and the overall utilization efficiency of spectrum resources can be improved.

[0126] In the embodiment of the present invention, when the dynamic spectrum allocation module 104 performs dynamic spectrum allocation for 6G network tasks by using the spectrum situation map, the task priority, and the target spectrum resources, it is used for:

[0127] Determine a spectrum resource set and a spectrum state function according to the spectrum situation map;

[0128] Generate a spectrum allocation decision function according to the task priority and the frequency band to be allocated;

[0129] Generate a dynamic spectrum allocation objective function by using the spectrum state function, the spectrum allocation decision function, and the data transmission rate requirement of the 6G network task obtained in advance: Wherein, To maximize the sum of the priority-weighted data transmission rates of all allocated tasks in the network, Is the maximum value function, Is the task Is allocated to the frequency band , Is the task The task priority of, Is the task The data transmission rate of, Is the frequency band in the spectrum resource set , Is the task The target spectrum bandwidth in the target spectrum resources of, Is the state of the frequency band In the spectrum state function, Is the frequency band The channel capacity of, Is the number of tasks, Is the number of frequency bands;

[0130] Determine the frequency band to be allocated according to the maximum value in the dynamic spectrum allocation objective function, and perform dynamic spectrum allocation for 6G network tasks according to the frequency band to be allocated.

[0131] Specifically, let the task set be , where Is the number of tasks. For each task , define its priority as , and , Is the set highest priority level. The larger the priority value, the higher the priority. The task The data transmission rate requirement of is (Unit: bps), the target spectral bandwidth requirement is (Unit: Hz). Let the spectral resource set be , where each represents a frequency band, and represents the range of the frequency band, is the starting frequency, is the ending frequency, and the bandwidth ; Define the spectral state function , , represents that the frequency band is idle, represents that the frequency band has been occupied. For the frequency band , its channel capacity is given by the Shannon formula: , where is the signal-to-noise ratio of the frequency band , and the spectrum allocation decision function is , , when , it means that the task is allocated to the frequency band ; when , it means that the task is not allocated to the frequency band .

[0132] Specifically, the dynamic spectrum allocation objective function has a constraint function to make the spectrum allocation more reasonable. The bandwidth constraint is , that is, the sum of the bandwidths of the frequency bands allocated to the task must be greater than or equal to its target spectral bandwidth requirement; the spectral state constraint is , that is, only idle frequency bands can be allocated to tasks; the channel capacity constraint is , that is, the sum of the channel capacities of the frequency bands allocated to the task must be greater than or equal to its data transmission rate requirement; and the spectrum is allocated according to the task priority from high to low. That is, for tasks and , if , then the spectrum resources are preferentially allocated to . When the task ends, for all frequency bands that satisfy , update the spectral state function , the optimization objective can be set to maximize the sum of the priority-weighted data transmission rates of all allocated tasks in the network, so as to obtain the frequency bands to be allocated for each network task in the maximized case. Then, dynamic spectrum allocation for 6G network tasks can be performed according to the spectrum to be allocated, which can comprehensively describe the process and related constraints of the dynamic spectrum allocation of 6G network tasks, and is applicable to different task sets and spectrum resource situations. By adjusting specific parameters and function values, spectrum allocation in different scenarios can be analyzed and decision-making can be made.

[0133] Furthermore, when a task is completed and terminated, if spectrum resource reallocation is not performed, the spectrum resources it occupies will be idle, resulting in waste. Therefore, the idle spectrum resources can be promptly reallocated to other tasks with demands to improve the overall utilization rate of spectrum resources.

[0134] The spectrum management state determination module 105 is configured to perform spectrum resource reallocation on the 6G network tasks after spectrum resources are allocated based on the task termination time of the 6G network tasks, update the spectrum situation map according to the spectrum resources of the 6G network tasks after reallocation, and determine the spectrum management state of the 6G network by using the updated spectrum situation map.

[0135] In the embodiments of the present invention, spectrum resource reallocation refers to the process of readjusting and allocating the spectrum resources that have been allocated to each task according to the actual situation and changes of network tasks in the 6G network, so as to meet the spectrum requirements of different tasks at different stages.

[0136] In the embodiments of the present invention, when the spectrum management state determination module 105 performs spectrum resource reallocation on the 6G network tasks after spectrum resources are allocated based on the task termination time of the 6G network tasks, it is configured to:

[0137] Determine the spectrum release state time according to the task termination time and a preset warning time threshold;

[0138] Statistical release bandwidth for each 6G network task at the spectrum release state time;

[0139] Determine the idle frequency band range for each 6G network task according to the release bandwidth;

[0140] Determine the allocation level for each 6G network task according to the release bandwidth and the task priority: Wherein, is the allocation level, is the task task priority, is the frequency band in the spectrum resource set , is the resource reservation coefficient;

[0141] Reallocate the spectrum resources for the idle frequency band range in sequence according to the assigned levels.

[0142] Specifically, determine the spectrum release state time according to the task termination time and the preset warning time threshold. For example, if a task is expected to terminate in 10 minutes and the preset warning time threshold is 2 minutes, then the spectrum release state time is 2 minutes before the task termination, that is, at 8 minutes. Then, before the task is about to end, relevant spectrum resources can be sorted out and prepared for release in advance. Furthermore, at the spectrum release state time, count the bandwidth that each 6G network task is about to release. By monitoring and analyzing the currently occupied bandwidth of the task, determine the actual bandwidth size that each task can release at the spectrum release state time. For example, task A currently occupies 50 MHz of bandwidth. When the spectrum release state time arrives, it is found through statistics that it can completely release 50 MHz of bandwidth.

[0143] Specifically, determine the idle frequency band range for each 6G network task according to the released bandwidth. For example, the released bandwidth of task B is 30 MHz, and it is stipulated in the network that this 30 MHz of bandwidth is located between frequency bands f1 - f2. Then this frequency band range is the idle frequency band range of task B. Furthermore, determine the assigned level for each 6G network task according to the released bandwidth and the task priority, and the resource reservation coefficient is to reserve a certain proportion of spectrum resources to cope with emergencies or future high-priority task requirements. After determining the assigned level for each task, reallocate the spectrum resources for the idle frequency band range in sequence from high to low according to the assigned levels. Tasks with higher assigned levels will obtain spectrum resources first, which can ensure that high-priority tasks can be preferentially guaranteed during the spectrum resource reallocation process, thus meeting their requirements for spectrum resources and ensuring the service quality and performance of the network. For example, the assigned level of task D is higher than that of task E. Then, when reallocating spectrum resources, appropriate idle frequency bands will be allocated to task D first, and then the spectrum resource allocation for task E will be considered.

[0144] Furthermore, when the spectrum resources are reallocated due to changes in task requirements, the original spectrum usage situation has changed. Timely updating the spectrum situation map can accurately reflect the current real spectrum resource distribution and usage status of the network.

[0145] In the embodiment of the present invention, when the spectrum management state determination module 105 updates the spectrum situation map according to the spectrum resources of the 6G network tasks after reallocation, it is used for:

[0146] Compare the spectrum resources of the 6G network tasks after reallocation with the original spectrum information in the spectrum situation map to obtain spectrum change data;

[0147] Perform information change annotation on the spectrum situation map according to the spectrum change data;

[0148] Determine the updated spectrum situation map with the changed annotation.

[0149] Specifically, the spectrum resources of the reallocated 6G network tasks refer to the spectrum occupancy situation of each 6G network task after the spectrum resource reallocation operation, including detailed information such as the occupied frequency band range and the task type corresponding to the frequency band. Comparing these two, mainly check one by one whether the occupancy of each frequency band has changed. For example, a certain frequency band was occupied by task A before reallocation and is changed to be occupied by task B after reallocation, or a previously idle frequency band is now occupied by a new task, or a task releases some frequency bands to make them idle. It can accurately determine the specific changes that occur to the spectrum resources after reallocation, and these change information constitute the spectrum change data.

[0150] Specifically, based on the spectrum change data, perform corresponding annotation operations on the spectrum situation map. If the occupied task of a frequency band has changed, change the task identifier of that frequency band from the original task to the new task; if a previously idle frequency band becomes occupied, add the identifier of the new task in the area of that frequency band; if a task releases a frequency band to make it idle, remove the task identifier of that frequency band or mark it as idle. After the information change annotation, the spectrum situation map already reflects the spectrum resource situation of the reallocated 6G network tasks.

[0151] Furthermore, use the updated spectrum situation map to determine the spectrum management status of the 6G network, including: identifying the spectrum distribution characteristics in the updated spectrum situation map; calculating the utilization rate of the spectrum resources according to the spectrum distribution characteristics, and determining the spectrum resource distribution status according to the spectrum distribution characteristics; determining the spectrum management status of the 6G network according to the utilization rate and the spectrum distribution status.

[0152] Specifically, observe the overall usage of frequency bands in the spectrum situation diagram, clarify which frequency bands are occupied, which are idle, and the distribution characteristics of the occupied frequency bands. Check the distribution of different tasks on the spectrum, understand the frequency band ranges and bandwidth sizes occupied by each task, determine whether there is a situation of concentrated or dispersed use of frequency bands, and calculate the utilization rate of spectrum resources. By statistically calculating the ratio of the total bandwidth of the occupied frequency bands to the total available bandwidth, obtain the overall utilization rate of spectrum resources. Check whether the frequency bands occupied by each task meet its service requirements and priorities. For example, whether high-priority tasks are allocated high-quality frequency band resources, and whether low-priority tasks occupy too much unnecessary bandwidth. Check whether there are conflicts or unreasonable overlaps in the frequency band allocation between tasks, ensure that the spectrum resource allocation between different tasks is reasonable and mutually compatible, and avoid communication interference problems caused by frequency band conflicts.

[0153] Refer to Figure 2 As shown, it is a schematic flowchart of the operation method of a 6G network spectrum management system enhanced by artificial intelligence provided by an embodiment of the present invention. In this embodiment, the operation method of the 6G network spectrum management system enhanced by artificial intelligence includes:

[0154] S1. Divide the globally obtained 6G network area into local network areas, and collect the spectrum data corresponding to each 6G network task in the local network area;

[0155] S2. Perform data enhancement processing on the spectrum data to obtain spectrum-enhanced data. Determine the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the spectrum-enhanced data, and generate a spectrum situation diagram of the 6G network according to the spectrum occupied resources and the spectrum idle resources;

[0156] S3. Identify the task characteristics of each 6G network task, and determine the task priority of each 6G network task according to the task characteristics;

[0157] S4. Real-time monitor the task traffic of each 6G network task, and determine the target spectrum resources corresponding to the task traffic. Perform dynamic spectrum allocation for the 6G network tasks by using the spectrum situation diagram, the task priority, and the target spectrum resources;

[0158] S5. Re-allocate the spectrum resources of the 6G network tasks after the spectrum resources are allocated based on the task termination time of the 6G network tasks. Update the spectrum situation diagram according to the spectrum resources of the 6G network tasks after the re-allocation, and determine the spectrum management status of the 6G network by using the updated spectrum situation diagram.

[0159] In several embodiments provided by the present invention, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there can be other division methods in actual implementation.

[0160] The modules described as separate components may or may not be physically separated. The components shown as modules may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0161] In addition, in each embodiment of the present invention, the functional modules can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or in the form of a combination of hardware and software functional modules.

[0162] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-mentioned exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms.

[0163] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is not limited only by the above description. Therefore, it is intended to include all changes within the meaning and scope of equivalent elements that fall within the protection scope of the present invention.

[0164] In addition, it is obvious that the word "including" does not exclude other units or steps, and the singular does not exclude the plural. The multiple units or systems stated in the system claims can also be implemented by one unit or system through software or hardware. The words such as first and second are used to represent names and do not represent any specific order.

[0165] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. An AI-enhanced 6G network spectrum management system, characterized in that, The system includes a spectrum data acquisition module, a spectrum situation map generation module, a task priority determination module, a dynamic spectrum allocation module, and a spectrum management status determination module. Among them, The spectrum data acquisition module is used to divide the globally obtained 6G network area into local network areas, and collect the spectrum data corresponding to each 6G network task in the local network areas; The spectrum situation map generation module is used to perform data enhancement processing on the spectrum data to obtain enhanced spectrum data, determine the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the enhanced spectrum data, and generate a spectrum situation map of the 6G network based on the spectrum occupied resources and the spectrum idle resources; The task priority determination module is used to identify the task characteristics of each 6G network task, and determine the task priority of each 6G network task according to the task characteristics; The dynamic spectrum allocation module is used to monitor the task traffic of each 6G network task in real time, determine the target spectrum resources corresponding to the task traffic, and perform dynamic spectrum allocation on the 6G network tasks by using the spectrum situation map, the task priority, and the target spectrum resources; The spectrum management status determination module is used to perform spectrum resource reallocation on the 6G network tasks after allocating spectrum resources based on the task termination time of the 6G network tasks, update the spectrum situation map according to the spectrum resources of the 6G network tasks after reallocation, and determine the spectrum management status of the 6G network by using the updated spectrum situation map.

2. The 6G network spectrum management system enhanced by artificial intelligence as claimed in claim 1, wherein, When the spectrum data acquisition module divides the globally obtained 6G network area into local network areas, it is used for: Identifying user areas in the globally obtained 6G network area, dividing the globally obtained 6G network area into area levels according to the density of the user areas to obtain a first target network area; Identifying the task types in the first target network area, and dividing the target network area into area tasks according to the task types to obtain a second target network area; Determining the local network areas according to the second target network areas.

3. The 6G network spectrum management system enhanced by artificial intelligence as claimed in claim 1, wherein, When the spectrum situation map generation module determines the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the enhanced spectrum data, it is used for: Extracting the signal characteristics of the enhanced spectrum data, and identifying the band signal activities corresponding to the 6G network tasks according to the signal characteristics; Determining the band characteristics of the 6G network tasks according to the band signal activities, and determining the initial spectrum occupied resources of the 6G network tasks through the band characteristics; Determining the initial spectrum idle resources based on the initial spectrum range of the 6G network tasks and the initial spectrum occupied resources, and monitoring the signal activity factor of the initial spectrum idle resources according to a preset sliding window; Updating the initial spectrum occupied resources and the initial spectrum idle resources according to the signal activity factor to obtain the spectrum occupied resources and spectrum idle resources corresponding to the 6G network tasks.

4. The 6G network spectrum management system enhanced by artificial intelligence as claimed in claim 1, wherein, When the spectrum situation map generation module generates a spectrum situation map of the 6G network based on the spectrum occupied resources and the spectrum idle resources, it is used for: Extracting 6G network task types corresponding to the spectrum occupied resources and the spectrum idle resources; Generate an occupied frequency band identifier of the spectrum occupied resource and an idle frequency band identifier corresponding to the idle spectrum resource according to the 6G network task type; Determine a spectrum situation map of the 6G network according to the 6G network task type, the occupied frequency band identifier, and the idle frequency band identifier; The situation identification is triggered by using a preset refresh factor, and the spectrum situation map is refreshed according to the situation identification to obtain a dynamic spectrum situation map of the 6G network.

5. The 6G network spectrum management system enhanced by artificial intelligence as claimed in claim 1, wherein, When determining the task priority of each 6G network task according to the task characteristics, the task priority determination module is used to: generating a feature vector according to the task feature, and determining a feature weight vector according to the feature vector; Calculate the task score of each 6G network task according to the feature vector and the feature weight vector; The dynamic task score of each 6G network task is calculated using the task score and the pre-acquired network status features: where p' i is the dynamic task score of the i-th 6G network task, and p i is the task score of the i-th 6G network task, v q is the feature status weight in the q-th network status feature, α is the state positive coefficient, and n q is the eigenvalue in the q-th network status feature, M q is the feature normal threshold in the q-th network status feature, and Q is the number of features of the network status feature; The task priority of each 6G network task is determined according to the dynamic task score.

6. The 6G network spectrum management system based on artificial intelligence enhancement according to claim 4, characterized in that: When determining the target spectrum resources corresponding to the task traffic, the dynamic spectrum allocation module is configured to: Identify the traffic type corresponding to the task traffic; Determining a burst factor of the task traffic according to the traffic type; Identifying spectrum idle resources in the spectrum situation map according to the burst factor; Identify idle frequency band bandwidths in the idle spectrum resources, and determine target spectrum resources corresponding to the task traffic based on the idle frequency band bandwidths.

7. The 6G network spectrum management system enhanced by artificial intelligence as claimed in claim 1, wherein, When dynamically allocating spectrum for a 6G network task using the spectrum situation map, the task priority, and the target spectrum resources, the dynamic spectrum allocation module is configured to: Determine a spectrum resource set and a spectrum state function according to the spectrum situation map; generating a spectrum allocation decision function according to the task priority and the frequency band to be allocated; The spectrum state function, the spectrum allocation decision function, and the pre-acquired data transmission rate requirement of the 6G network task are used to generate a dynamic spectrum allocation objective function: A(t i ,f j ) ≤ 1 - S(f j ) Among them, S is the sum of the priority-weighted data transmission rates of all assigned tasks in the network, max is the maximum value function, and A(t i ,f j ) is task t i Assigned to frequency band f j , P(t i ) is task t i The task priority, R(t i ) is task t i The data transmission rate, b(f j ) is the frequency band f in the spectrum resource set j ,B(t i ) is task t i The target spectrum bandwidth in the target spectrum resource, S(f j ) is the frequency band f in the spectrum state function j The state of C(f j ) is the frequency band f j The channel capacity, a is the number of tasks, m is the number of frequency bands; The frequency band to be allocated is determined according to the maximum value in the dynamic spectrum allocation objective function, and the dynamic spectrum allocation is performed on the 6G network task according to the frequency band to be allocated.

8. The 6G network spectrum management system enhanced by artificial intelligence as claimed in claim 7, wherein, When reallocating spectrum resources for the 6G network task to which spectrum resources have been allocated based on the task expiration time of the 6G network task, the spectrum management state determination module is configured to: Determine the spectrum release state time according to the task termination time and a preset warning time threshold; Counting the released bandwidth of each 6G network task during the spectrum release state time; Determine the idle frequency band range for each 6G network task based on the released bandwidth; The allocation level of each 6G network task is determined according to the released bandwidth and the task priority: H = P(t i ) × [(1 - α)b(f j )] where H is the allocation level, P(t i ) is the task priority of task t i , b(f j ) is the frequency band f in the spectrum resource set j , and α is the resource reservation coefficient; Spectrum resources are reallocated in the idle frequency band range in sequence according to the allocation level.

9. The 6G network spectrum management system enhanced by artificial intelligence as claimed in claim 1, wherein, When updating the spectrum situation map according to the reallocated spectrum resources of the 6G network task, the spectrum management status determination module is used to: Compare the spectrum resources of the 6G network tasks after reallocation with the original spectrum information in the spectrum situation map to obtain spectrum change data; Mark the information change of the spectrum situation map according to the spectrum change data; Determine the updated spectrum situation map as the spectrum situation map after change marking.

10. An operation method of a 6G network spectrum management system based on artificial intelligence enhancement, characterized in that: For implementing the 6G network spectrum management system enhanced by artificial intelligence as described in any one of claims 1-9, the method includes: Divide the globally acquired 6G network area into local network areas, and collect the spectrum data corresponding to each 6G network task in the local network areas; Perform data enhancement processing on the spectrum data to obtain spectrum enhanced data, determine the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the spectrum enhanced data, and generate a spectrum situation map of the 6G network according to the spectrum occupied resources and the spectrum idle resources; Identify the task characteristics of each 6G network task, and determine the task priority of each 6G network task according to the task characteristics; Real-time monitor the task traffic of each 6G network task, and determine the target spectrum resources corresponding to the task traffic. Dynamically allocate spectrum resources for the 6G network tasks by using the spectrum situation map, the task priority, and the target spectrum resources; Based on the task termination time of the 6G network tasks, reallocate the spectrum resources of the 6G network tasks after spectrum resource allocation, update the spectrum situation map according to the spectrum resources of the 6G network tasks after reallocation, and determine the spectrum management status of the 6G network by using the updated spectrum situation map.

Images