6G network spectrum management system and method based on artificial intelligence enhancement

Abstract

The invention relates to the technical field of artificial intelligence, and discloses a 6G network frequency spectrum management system and method based on artificial intelligence enhancement, and the system comprises a frequency spectrum data collection module, a frequency spectrum situation map generation module, a task priority determination module, a dynamic frequency spectrum distribution module, and a frequency spectrum management state determination module. The method comprises the following steps: carrying out multi-dimensional division on a 6G network global region, collecting task spectrum data of each 6G network in a local region, carrying out data enhancement processing to determine spectrum occupation and idle resources, and generating a spectrum situation map; identifying task features to determine priorities, monitoring task traffic in real time to determine target spectrum resources, and performing dynamic spectrum allocation; and recovering spectrum resource reallocation according to the task termination time, updating the spectrum situation map, and determining the 6G network spectrum management state from multi-dimensional evaluation. According to the invention, the spectrum utilization efficiency during network spectrum management can be improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular, 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] Existing network spectrum management technologies pre-allocate 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, unable to 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 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 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 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; 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 reallocate spectrum resources for 6G network tasks after spectrum resource allocation based on the task termination time of 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.

[0006] Optionally, when the spectrum data acquisition module divides the globally acquired 6G network area into local network areas, it is used for: 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 to obtain the first target network area; Identify the task types in the first target network area, divide the target network area into area tasks according to the task types to obtain the second target network area; Determine the local network area according to the second target network area.

[0007] 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: 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; 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; 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; 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.

[0008] Optionally, when the spectrum situation map generation module generates the spectrum situation map of the 6G network according to the spectrum occupied resources and the spectrum idle resources, it is used for: Extract the 6G network task types corresponding to the spectrum occupied resources and the spectrum idle resources; Generate the occupied band identifier of the spectrum occupied resources and the idle band identifier corresponding to the spectrum idle resources according to the 6G network task types; Determine the spectrum situation map of the 6G network according to the 6G network task types, the occupied band identifier and the idle band identifier; Trigger the situation identification using a preset refresh factor, and refresh the spectrum situation map according to the situation identification to obtain a dynamic spectrum situation map of the 6G network.

[0009] Optionally, when determining the task priority of each 6G network task according to the task characteristics, the task priority determination module is used for: Generate a feature vector according to the task characteristics, and determine 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; Calculate the dynamic task score of each 6G network task through the task score and the pre-acquired network status 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 status weight in the th network status feature, is the state positive coefficient, is the th eigenvalue in the network status feature, is the th feature normal threshold in the network status feature, is the number of features of the network status feature; Determine the task priority of each 6G network task according to the dynamic task score.

[0010] Optionally, when determining the target spectrum resource corresponding to the task traffic, the dynamic spectrum allocation module is used for: Identify the traffic type corresponding to the task traffic; Determine the burst factor of the task traffic according to the traffic type; Identify the spectrum idle resources in the spectrum situation map according to the burst factor; Identify the idle band bandwidth in the spectrum idle resources, and determine the target spectrum resource corresponding to the task traffic according to the idle band bandwidth.

[0011] Optionally, when performing dynamic spectrum allocation on 6G network tasks using the spectrum situation map, the task priority, and the target spectrum resource, the dynamic spectrum allocation module is used for: Determine a spectrum resource set and a spectrum status function according to the spectrum situation map; Generate a spectrum allocation decision function according to the task priority and the frequency band to be allocated; Generate a dynamic spectrum allocation objective function by using the spectrum status 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, For task Allocated to frequency band , For task Task priority, For task Data transmission rate, Is the frequency band , For task The target spectrum bandwidth in the target spectrum resources, Is the status of the frequency band In the spectrum status function, For frequency band Channel capacity, Is the number of tasks, Is the number of frequency bands; 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 the 6G network tasks according to the frequency band to be allocated.

[0012] Optionally, when the spectrum management status determination module 105 performs spectrum resource reallocation on the 6G network tasks after allocating spectrum resources based on the task termination time of the 6G network tasks, it is used for: Determine the spectrum release status time according to the task termination time and the preset warning time threshold; Statistically calculate the release bandwidth of each 6G network task at the spectrum release status time; Determine the idle frequency band range of each 6G network task according to the release bandwidth; Determine the allocation level of each 6G network task according to the release bandwidth and the task priority: Among them, Is the allocation level, For task Task priority, Is the frequency band , Is the resource reservation coefficient; Perform spectrum resource reallocation on the idle frequency band range in sequence according to the allocation level.

[0013] Optionally, when updating the spectrum situation map according to the spectrum resources of the reallocated 6G network tasks, the spectrum management status determination module is configured to: Compare the spectrum resources of the reallocated 6G network tasks with the original spectrum information in the spectrum situation map to obtain spectrum change data; Perform information change annotation on the spectrum situation map according to the spectrum change data; Determine the updated spectrum situation map as the spectrum situation map after change annotation.

[0014] 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: 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; 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, and perform dynamic spectrum allocation on 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, perform spectrum resource reallocation on the 6G network tasks after spectrum resource allocation, update the spectrum situation map according to the spectrum resources of the reallocated 6G network tasks, and determine the spectrum management status of the 6G network by using the updated spectrum situation map.

[0015] In the embodiments of the present invention, by collecting the spectrum data of local network areas after global area division and performing data enhancement 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 priorities accordingly, so that key services and services with a greater impact on network performance can be preferentially guaranteed during spectrum allocation; monitor the task traffic in real time and determine the target spectrum resources, and perform dynamic spectrum allocation in combination with the spectrum situation map and task priorities, which can adapt to the dynamic changes of service traffic in the 6G network; reallocate the tasks with allocated spectrum resources based on the task termination time, which can timely recycle the idle spectrum resources and reallocate them to tasks with demands; update the spectrum situation map according to the reallocated spectrum resources, which can reflect the changes in the network spectrum state in real time. Determining the spectrum management status based on the updated spectrum situation map enables network managers to continuously grasp 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. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] 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; Figure 2 It is a schematic 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.

[0017] The realization, functional features and advantages of the object of the present invention will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] 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 protection scope of the present invention.

[0020] 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 indicates otherwise. "Plural" generally includes at least two.

[0021] Depending on the context, as used herein, the terms "if" and "when" may 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)" may 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)".

[0022] In addition, the step timings in the following method embodiments are only examples, not strictly limited.

[0023] In fact, the server devices deployed by 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: a service instance, a virtual machine, or a hardware device. For example, the AI-enhanced 6G network spectrum management system can be implemented as a service 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 for providing 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, with one or more hardware devices set to provide the AI-enhanced 6G network spectrum management system for each client.

[0024] 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 the 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.

[0025] 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.

[0026] The 6G network spectrum management system 100 enhanced by artificial intelligence according to 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 into a website. According to the implemented functions, the 6G network spectrum management system 100 enhanced by artificial intelligence 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 described in the present invention can also be referred to as 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 device's memory.

[0027] In the embodiment 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 with 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 acquisition module to obtain the information collected by the information acquisition module. Based on the above characteristics, in the 6G network spectrum management system provided by the embodiment of the present invention, without modifying the program code, the applicable range of the 6G network spectrum management system architecture enhanced by artificial intelligence can be adjusted by adding modules and directly calling them, so as to achieve cluster-level horizontal expansion, in order 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 also be set in virtual devices, such as service instances in a cloud server.

[0028] 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: The spectrum data acquisition module 101 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.

[0029] In the embodiment of the present invention, the globally obtained 6G network area refers to the range covered by the entire 6G network, including all users, devices, base stations, and various communication services and tasks in the network, while 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 obtained 6G network area.

[0030] In the embodiment of the present invention, when the spectrum data acquisition module 101 divides the globally obtained 6G network area into local network areas, it is used for: Identify the user areas in the globally obtained 6G network area, and perform area level division on the globally obtained 6G network area according to the density of the user areas to obtain the first target network area; Identify the task types in the first target network area, and perform area task division on the target network area according to the task types to obtain the second target network area; Determine the local network area according to the second target network area.

[0031] Specifically, identify the user areas in the globally obtained 6G network area, that is, determine the areas where users are concentrated, and then perform area level division on the global area according to the density of the user areas to obtain the first target network area. That is, the density is between A - B, which is the first level, and between B - C is the second level, etc., so as to obtain the area divided by levels. Then, in this area, divide it according to the task types, and investigate the main service types in different areas. For example, in the bustling urban areas, the main services may be high-definition video entertainment, financial transactions and other large-traffic services; while in industrial parks, they are mostly industrial Internet of Things related services, such as equipment remote monitoring, automated production line data transmission, etc.

[0032] Specifically, after obtaining the first target network area, identify the task types in the first target network area. The task types include different service requirements such as high-definition video transmission, Internet of Things device communication, intelligent traffic control, etc. Perform area task division on the first target network area according to the task types to obtain the second target network area. For example, for the area where high-bandwidth and low-latency high-definition video transmission tasks are concentrated, it can be divided into a specific task area; while for the area where Internet of Things device communication tasks are concentrated, it is divided into another task area. Thus, according to the characteristics and requirements of different tasks, network resources can be allocated and managed more targeted. Then, determine the local network area according to the second target network area, that is, the basic unit for fine management and resource allocation of the global area. By dividing the global area into multiple local network areas, network resources can be configured more flexibly according to the specific conditions of each local area, improving network performance and service quality.

[0033] Furthermore, there are various types of tasks in the 6G network, indicating that each specific task needs to be individually concerned and data collected. 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 task for the occupied spectrum resources. Among them, according to the frequency band range of the 6G network, a high-precision spectrum analyzer supporting 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.

[0034] Furthermore, in order to improve the data quality of the collected spectrum data, data processing needs to be performed on the spectrum data to make the spectrum data high-quality data.

[0035] The spectrum situation map generation module 102 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.

[0036] In the embodiment of the present invention, the spectrum enhanced data refers to the data after data enhancement processing of 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, using the adaptive filtering algorithm of artificial intelligence, aiming at the complex and changeable 6G spectrum environment noise, the noise in the spectrum data is removed. The adaptive filtering algorithm can analyze the noise characteristics in real time, automatically adjust the filter parameters, effectively eliminate various noise interferences, improve the spectrum data quality, and provide a reliable data basis for subsequent processing. And using artificial intelligence algorithms to monitor the collected spectrum data in real time, quickly identify abnormal data points by learning the normal data pattern. Once an abnormality is found, such as data missing or error, the 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.

[0037] 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.

[0038] In the embodiments of the present invention, the spectrum occupied resource refers to the spectrum range actually used by a specific 6G network task during its execution, and the spectrum idle resource refers to the spectrum part within the entire available spectrum range that is not occupied by the current 6G network task. In the total spectrum range, after removing the spectrum resources occupied by each 6G network task, the remaining frequency band is the spectrum idle resource.

[0039] In the embodiments of the present invention, when generating the spectrum situation map, the spectrum situation map generation module 102 is configured to determine the spectrum occupied resource and the spectrum idle resource corresponding to each 6G network task according to the spectrum enhancement data, and is used for: Extract the signal features of the spectrum enhancement data, and identify the band signal activity corresponding to the 6G network task according to the signal features; Determine the band characteristics of the 6G network task according to the band signal activity, and determine the initial spectrum occupied resource of the 6G network task through the band characteristics; Determine the initial spectrum idle resource based on the initial spectrum range of the 6G network task and the spectrum occupied resource, and monitor the signal activity factor of the initial spectrum idle resource according to a preset sliding window; Update the initial spectrum occupied resource and the initial spectrum idle resource according to the signal activity factor to obtain the spectrum occupied resource and the spectrum idle resource corresponding to the 6G network task.

[0040] Specifically, signal features are extracted from the spectrum enhancement data. The signal features include, but are not limited to, frequency, amplitude, phase, and broadband information. The signal features can reflect the characteristics and behaviors of the signal. Then, the band signal activity corresponding to the 6G network task is identified according to the extracted signal features. For example, by analyzing the amplitude feature, if the amplitude of the signal exceeds a certain threshold in a certain frequency band, 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, the band characteristics of the 6G network task are determined according to the band signal activity. The band characteristics include information such as the center frequency, bandwidth, and signal intensity distribution of the signal activity. The initial spectrum occupied resource of the 6G network task is determined through the band characteristics. 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 resource of the 6G network task. And based on the known total available spectrum range of the 6G network and the determined initial spectrum occupied resource, the initial spectrum idle resource is calculated. That is, the total spectrum range minus the initial spectrum occupied resource to obtain the initial spectrum idle resource.

[0041] 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 characteristics of the signal 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, the signal activity factor is determined by calculating indicators such as the average amplitude of the signal within the sliding window and the frequency of signal activity occurrence. According to the monitored signal activity factor, the initially occupied spectrum resources and the initially idle spectrum resources are updated. If a relatively high signal activity factor is detected in a certain area of the initially idle spectrum resources, it indicates that there may be signal activities that were not previously identified in this area, and this area needs to be adjusted from the initially idle spectrum resources to the occupied spectrum resources. Conversely, if the signal activity factor in some areas of the initially occupied spectrum resources drops to a certain level, it may indicate that the task activities in this area have decreased or stopped, and it can be adjusted to idle spectrum resources. Through the dynamic update process, the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task can be determined more accurately.

[0042] Furthermore, in order to visually understand the actual distribution of spectrum resources, reasonably plan the network coverage area, adjust the base station layout, and allocate spectrum resources, it is necessary to display the distribution of spectrum occupied resources and spectrum idle resources in the 6G network.

[0043] 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 (spectrum occupied resources), which frequency bands are in an idle state (spectrum idle resources), and the relationships between these occupied and idle states and different 6G network task types within the entire 6G network frequency band range.

[0044] In the embodiments of the present invention, when the spectrum situation map generation module 102 generates the spectrum situation map of the 6G network according to the spectrum occupied resources and the spectrum idle resources, it is used for: Extracting the 6G network task types corresponding to the spectrum occupied resources and the spectrum idle resources; Generating the occupied frequency band identifiers of the spectrum occupied resources and the idle frequency band identifiers corresponding to the spectrum idle resources according to the 6G network task types; Determining the spectrum situation map of the 6G network according to the 6G network task types, the occupied frequency band identifiers, and the idle frequency band identifiers; Triggering the 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.

[0045] Specifically, from the information related to the determined spectrum occupied resources and spectrum idle 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 spectrum occupied resources in a certain frequency band may be generated by high-definition video transmission tasks. Then, according to the extracted 6G network task types, generate occupancy band identifiers for the spectrum occupied resources. The occupancy band identifiers can include various information, such as the name of the task type, the priority of the task, the specific frequency range of the occupied band, etc. For example, for the frequency band occupied by high-definition video transmission tasks, it can be labeled as high-definition video transmission (priority: medium, band range: ); Similarly, generate idle band identifiers for the spectrum idle resources. The idle band identifiers mainly contain information such as the frequency range of the idle band and whether it can be preferentially used by specific task types. For example, for an idle band (usable for low-priority Internet of Things tasks, band range: ), the identifier can clearly indicate the status and usage of the spectrum resources.

[0046] Specifically, comprehensively consider the information of 6G network task types, occupancy band identifiers, and idle band identifiers to determine the spectrum situation map of the 6G network. In the spectrum situation map, different task types, occupied bands, and idle bands are usually represented by different colors, graphics, or symbols. For example, the frequency band occupied by high-definition video transmission tasks is represented by red, the frequency band occupied by Internet of Things device communication tasks is represented by blue, and the idle band is represented by green; at the same time, mark the specific frequency range of each frequency band and the relevant task type identifiers on the map, so that the entire spectrum situation map intuitively and clearly shows the usage of spectrum resources in the 6G network. And use a refresh factor to trigger the situation identifier. The refresh factor is a preset parameter that can be determined according to factors such as time intervals and network state changes. When the refresh condition is met, the situation identifier is triggered, and the situation identifier contains information about changes in the status of spectrum resources, such as changes in spectrum occupied resources caused by the access of new tasks, or an increase in spectrum idle resources after some tasks end. Then, refresh the spectrum situation map 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 spectrum resources in the 6G network. For example, if a new intelligent transportation control task accesses and occupies an idle band, the spectrum situation map will correspondingly change the color of that band from green (idle) to a specific color representing the intelligent transportation control task and update the relevant identifier information, thus obtaining a dynamic spectrum situation map of the 6G network to display the spectrum usage of the network in real time.

[0047] Furthermore, the 6G network needs to support a variety of different types of tasks, such as autonomous driving, telemedicine, 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.

[0048] 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.

[0049] In the embodiment 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.). 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.

[0050] Furthermore, the 6G network resources are limited, and different tasks have different requirements and importance for resources. 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 ensuring the efficient operation of the network.

[0051] In the embodiment 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 demand for network resources of the task.

[0052] In the embodiment 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: Generating a feature vector according to the task characteristics and determining a feature weight vector according to the feature vector; Calculating the task score of each 6G network task according to the feature vector and the feature weight vector; Calculating the dynamic task score of each 6G network task through the task score and the pre-acquired network state characteristics: Among them, 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 eigenvalue in the th network status feature, is the feature normal threshold in the th network status feature, is the number of features of the network status feature; Determine the task priority of each 6G network task according to the dynamic task score.

[0053] Specifically, let the task set be , for each task , define its task feature vector , 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 construct the feature weight vector , where and , then the weight can be determined by the Analytic Hierarchy Process (AHP). By pairwise comparing the relative importance of different features, construct the judgment matrix , where, represents the feature relative to the feature importance degree. Calculate the feature vector according to the judgment matrix. For example, by calculating the maximum eigenvalue of the judgment matrix corresponding feature vector, and perform normalization processing to obtain the weight vector , thus calculate the task score of each 6G network task according to the feature vector and the feature weight vector, then 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 .

[0054] Specifically, considering the network status factor, let the network status vector , for example can represent the network congestion degree, represents the available spectrum resource amount, etc., and construct the network status impact weight vector , where and , and the adjustment coefficient of the network status on the task priority can be calculated by the following formula, that is , where is a function about the network status parameter , used to describe the influence degree of this network status parameter on the task priority. For example, when the network congestion degree ​When it 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 network congestion degree. Then the adjusted task priority score can be obtained. Then, according to the adjusted priority re-determine the task priority level to achieve dynamic adjustment of task priority and adapt to the complex environment of 6G network. Then set the priority level division threshold set , where represents the number of priority levels, and . For example, if the priority levels are divided into three levels: high, medium, and low, it can be set . According to the task priority score determine its priority level , then , such as , , then the priority level of this task is medium.

[0055] Furthermore, different tasks in 6G network have different resource requirements. By real-time monitoring of task traffic, the actual network resource occupancy of each task can be accurately understood, avoiding resource waste or over-allocation, so that the limited network resources can better meet the needs of various tasks.

[0056] 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 by using the spectrum situation map, the task priority, and the target spectrum resources.

[0057] 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 the 6G network, including indicators such as the data transmission rate, the size and quantity of data packets, which reflects the occupancy degree of tasks on network resources. Among them, the base station in the 6G network can collect the task traffic information transmitted through it, monitor the wireless link data transmission situation between the base station and the terminal device or collect the traffic data from various nodes and devices in the network 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.

[0058] Furthermore, 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.

[0059] In the embodiments of the present invention, the target spectrum resource refers to a specific frequency band 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.), which can meet the data transmission requirements of the task.

[0060] In the embodiments of the present invention, when determining the target spectrum resource corresponding to the task traffic, the dynamic spectrum allocation module 104 is used to: Identify the traffic type corresponding to the task traffic; Determine the burst factor of the task traffic according to the traffic type; Identify the spectrum idle resources in the spectrum situation map according to the burst factor; Identify the bandwidth of the idle frequency band in the spectrum idle resources, and determine the target spectrum resource corresponding to the task traffic according to the bandwidth of the idle frequency band.

[0061] 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, a real-time video stream may experience a sudden increase in data volume at certain moments due to changes in the video content, etc., but generally it is 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.

[0062] 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 select a suitable idle frequency band as the target spectrum resource according to the characteristics and requirements of the task traffic, combined with the previously determined traffic type, burst factor, etc. 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.

[0063] In the embodiments of the present invention, according to the actual spectrum usage situation, the idle spectrum resources are flexibly allocated to the 6G network tasks with demands, avoiding the waste of spectrum resources. For tasks with high real-time requirements, spectrum resources with good allocation delay characteristics are allocated, so as to achieve an accurate match between spectrum resources and task requirements and improve the overall utilization efficiency of spectrum resources.

[0064] In the embodiments of the present invention, when the dynamic spectrum allocation module 104 performs dynamic spectrum allocation on 6G network tasks by using the spectrum situation map, the task priority, and the target spectrum resources, it is used for: Determine a spectrum resource set and a spectrum state function according to the spectrum situation map; Generate a spectrum allocation decision function according to the task priority and the frequency band to be allocated; 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 Of the task priority, Is the task Of the data transmission rate, Is the frequency band in the spectrum resource set , Is the task Of the target spectrum bandwidth in the target spectrum resources, Is the state of the frequency band In the spectrum state function, Is the frequency band Of the channel capacity, Is the number of tasks, Is the number of frequency bands; Determine the frequency band to be allocated according to the maximum value in the dynamic spectrum allocation objective function, and perform dynamic spectrum allocation on the 6G network tasks according to the frequency band to be allocated.

[0065] 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. For a task , the data transmission rate requirement is (unit: bps), and the target spectrum bandwidth requirement is (unit: Hz). Let the spectrum resource set be , where each represents a frequency band. Denote the range of the frequency band by , is the starting frequency, is the ending frequency, and the bandwidth ; Define the spectrum status function , , , where indicates that the frequency band is idle, indicates 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 . , 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 .

[0066] Specifically, the dynamic spectrum allocation objective function has constraint functions to make the spectrum allocation more reasonable. Then the bandwidth constraint is , that is, the sum of the bandwidths of the frequency bands allocated to the task should be greater than or equal to its target spectrum bandwidth requirement; the spectrum status 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 should be greater than or equal to its data transmission rate requirement; and the spectrum is allocated in descending order of task priority. That is, for tasks and , if , then spectrum resources are preferentially allocated to . When the task ends, for all frequency bands that satisfy , update the spectrum status 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, the 6G network tasks can be dynamically spectrum-allocated according to the spectrum to be allocated, which can comprehensively describe the process and related constraints of the 6G network task dynamic spectrum allocation, 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.

[0067] Furthermore, when a task is completed and terminated, if spectrum resources are not reallocated, 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.

[0068] The spectrum management state determination module 105 is configured 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 state of the 6G network by using the updated spectrum situation map.

[0069] In the embodiment of the present invention, spectrum resource reallocation refers to the process of readjusting and reallocating the spectrum resources already 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.

[0070] In the embodiment of the present invention, when the spectrum management state determination module 105 performs spectrum resource reallocation on the 6G network tasks after allocating spectrum resources based on the task termination time of the 6G network tasks, it is configured to: Determine the spectrum release state time according to the task termination time and a preset warning time threshold; Statistical release bandwidth of each 6G network task at the spectrum release state time; Determine the idle frequency band range of each 6G network task according to the release bandwidth; Determine the allocation level of 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; Perform spectrum resource reallocation on the idle frequency band range in sequence according to the allocation level.

[0071] Specifically, the spectrum release time is determined based on the task termination time and a 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 time is 2 minutes before the task termination, that is, at 8 minutes. Thus, before the task ends, relevant spectrum resources can be sorted out and prepared for release in advance. Then, at the spectrum release time, the bandwidth that each 6G network task is about to release is counted. By monitoring and analyzing the currently occupied bandwidth of the task, the size of the bandwidth that each task can actually release at the spectrum release time point is determined. For example, task A currently occupies 50 MHz of bandwidth. When the spectrum release time arrives, it is found through statistics that it can completely release 50 MHz of bandwidth.

[0072] Specifically, the idle frequency band range of each 6G network task is determined according to the released bandwidth. For example, the bandwidth released by task B is 30 MHz, and it is specified 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. Further, the allocation level of each 6G network task is determined 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 the high-priority task requirements that may occur in the future. After determining the allocation level of each task, the spectrum resources are reallocated to the idle frequency band ranges in order from high to low according to the allocation level. Tasks with a higher allocation level will obtain spectrum resources first, which can ensure that high-priority tasks can be preferentially guaranteed during the spectrum resource reallocation process, thereby meeting their requirements for spectrum resources and ensuring the service quality and performance of the network. For example, the allocation 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.

[0073] 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.

[0074] In the embodiment of the present invention, when the spectrum management status determination module 105 updates the spectrum situation map according to the spectrum resources of the 6G network tasks after reallocation, it is used for: Comparing 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; Marking the information change of the spectrum situation map according to the spectrum change data; Determining the spectrum situation map after change marking as the updated spectrum situation map.

[0075] 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 aspects mainly involves checking one by one whether the occupancy situation 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 an originally idle frequency band is now occupied by a new task, or a task releases part of the frequency band to make it idle. The specific changes that occur to the spectrum resources after reallocation can be accurately determined, and this change information constitutes the spectrum change data.

[0076] Specifically, based on the spectrum change data, corresponding marking operations are performed on the spectrum situation map. If the occupied task of a frequency band has changed, the task identifier of that frequency band is modified from the original task to the new task; if an originally idle frequency band becomes occupied, the identifier of the new task is added to the area of that frequency band; if a task releases the frequency band to make it idle, the task identifier of that frequency band is removed or marked as idle. After the information change marking, the spectrum situation map already reflects the spectrum resource situation of the reallocated 6G network tasks.

[0077] Furthermore, the updated spectrum situation map is used 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.

[0078] Specifically, observe the overall usage situation of the frequency bands in the spectrum situation map, clarify which frequency bands are in the occupied state, which are in the idle state, and the distribution characteristics of the occupied frequency bands, check the distribution of different tasks on the spectrum, understand the frequency band range and bandwidth size occupied by each task, and judge whether there is a situation of concentrated or dispersed use of frequency bands, and calculate the utilization rate of the spectrum resources. By calculating the ratio of the total bandwidth of the occupied frequency bands to the total available bandwidth, the overall utilization rate of the spectrum resources is obtained, and 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 to ensure that the spectrum resource allocation between different tasks is reasonable and mutually compatible, and avoid communication interference problems caused by frequency band conflicts.

[0079] Refer to Figure 2As shown in the figure, it is a schematic flowchart of an 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: 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; 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 map of the 6G network according to the spectrum occupied resources and the spectrum idle resources; 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; S4. Real-time monitor the task traffic of each 6G network task, and 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; S5. Reallocate the spectrum resources for 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.

[0080] In several embodiments provided by the present invention, it should be understood that the disclosed system and method can be implemented in other ways. For example, the system embodiments described above are only illustrative. For example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0081] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place, or may be 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.

[0082] In addition, the functional modules in each embodiment of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware, or in the form of a combination of hardware and software functional modules.

[0083] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention.

[0084] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-restrictive. 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 falling within the protection scope in the present invention.

[0085] In addition, it is obvious that the term "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 terms such as first and second are used to represent names and do not represent any specific order.

[0086] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. 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. A 6G network spectrum management system based on artificial intelligence enhancement, 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, wherein: The spectrum data collection module is used to divide the pre-acquired 6G network global area into regions to obtain local network areas, and collect spectrum data corresponding to each 6G network task in the local network area; The spectrum situation map generating module is used to perform data enhancement processing on the spectrum data to obtain spectrum enhancement data, determine the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the spectrum enhancement data, and generate a spectrum situation map of the 6G network according to 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 flow of each 6G network task in real time, determine the target spectrum resources corresponding to the task flow, and dynamically allocate spectrum to the 6G network task using the spectrum situation map, the task priority and the target spectrum resources; The spectrum management status determination module is used to reallocate spectrum resources for the 6G network task after the spectrum resources are allocated based on the task termination time of the 6G network task, update the spectrum situation map according to the spectrum resources of the reallocated 6G network task, and determine the spectrum management status of the 6G network using the updated spectrum situation map.

2. The 6G network spectrum management system based on artificial intelligence enhancement as claimed in claim 1, characterized in that: When the spectrum data acquisition module divides the pre-acquired 6G network global area into regions to obtain a local network area, it is used to: Identify user areas in the 6G network global area, and classify the 6G network global area according to the density of the user areas to obtain a first target network area; Identify a task type in the first target network area, and divide the target network area into regional tasks according to the task type to obtain a second target network area; A local network area is determined according to the second target network area.

3. The 6G network spectrum management system based on artificial intelligence enhancement as claimed in claim 1, characterized in that: When determining the spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the spectrum enhancement data, the spectrum situation map generation module is used to: Extracting signal features of the spectrum enhancement data, and identifying frequency band signal activities corresponding to the 6G network task according to the signal features; Determine the frequency band characteristics of the 6G network task according to the frequency band signal activity, and determine the initial spectrum occupation resources of the 6G network task through the frequency band characteristics; Determine 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; The initial spectrum occupied resources and the initial spectrum idle resources are updated according to the signal activity factor to obtain the spectrum occupied resources and spectrum idle resources corresponding to the 6G network task.

4. The 6G network spectrum management system based on artificial intelligence enhancement as claimed in claim 1, characterized in that: When the spectrum situation map generating module generates the spectrum situation map of the 6G network according to the spectrum occupied resources and the spectrum idle resources, it is used to: Extracting the 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 resources and an idle frequency band identifier corresponding to the spectrum idle resources 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 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 based on artificial intelligence enhancement as claimed in claim 1, characterized in that: When determining the task priority of each 6G network task according to the task characteristics, the task priority determination module is used to: Generate a feature vector according to the task feature, and determine 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 by the task score and the pre-acquired network status characteristics: in, For the Dynamic task scores of 6G network tasks, For the The task score of each 6G network task, For the The feature state weights in the network state features, is the state positive coefficient, For the The characteristic value of the network status characteristic, For the The normal threshold of the network status features, is the number of features that characterize the network status; 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 as claimed in claim 4, characterized in that: When determining the target spectrum resources corresponding to the task traffic, the dynamic spectrum allocation module is used to: Identify the traffic type corresponding to the task traffic; Determining a burst factor of the task traffic according to the traffic type; Identify 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 based on artificial intelligence enhancement as claimed in claim 1, characterized in that: When the dynamic spectrum allocation module dynamically allocates spectrum to the 6G network task using the spectrum situation map, the task priority and the target spectrum resources, it is used 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: in, To maximize the sum of the priority-weighted data transfer rates of all assigned tasks in the network, is the maximum value function, For the task Assigned to frequency band , For the task The task priority, For the task The data transfer rate, is the frequency band in the spectrum resource set , For the task The target spectrum bandwidth in the target spectrum resource, is the frequency band in the spectrum state function status, For frequency band The channel capacity, is the number of tasks, 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 based on artificial intelligence enhancement as claimed in claim 7, characterized in that: When the spectrum management state determination module reallocates spectrum resources for the 6G network task after the spectrum resources are allocated based on the task termination time of the 6G network task, it is used to: Determine the spectrum state release 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 of each 6G network task according to the released bandwidth; The allocation level of each 6G network task is determined according to the released bandwidth and the task priority: in, For the assigned grade, For the task The task priority, is the frequency band in the spectrum resource set , is the resource retention factor; Spectrum resources are reallocated in the idle frequency band range in sequence according to the allocation level.

9. The 6G network spectrum management system based on artificial intelligence enhancement as claimed in claim 1, characterized in that: When the spectrum management state determination module updates the spectrum situation map according to the spectrum resources of the reallocated 6G network task, it is used to: Compare the spectrum resources of the reallocated 6G network task with the original spectrum information in the spectrum situation map to obtain spectrum change data; Marking information changes on the spectrum situation diagram according to the spectrum change data; The frequency spectrum situation diagram after the change annotation is determined as the updated frequency spectrum situation diagram.

10. An operation method of a 6G network spectrum management system based on artificial intelligence enhancement, characterized in that: Used to implement the 6G network spectrum management system based on artificial intelligence enhancement as described in any one of claims 1 to 9, the method comprising: Divide the pre-acquired 6G network global area into regions to obtain local network areas, and collect spectrum data corresponding to each 6G network task in the local network areas; Performing data enhancement processing on the spectrum data to obtain spectrum enhancement data, determining spectrum occupied resources and spectrum idle resources corresponding to each 6G network task according to the spectrum enhancement data, and generating 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; Monitor the task flow of each 6G network task in real time, determine the target spectrum resources corresponding to the task flow, and dynamically allocate spectrum for the 6G network task using the spectrum situation map, the task priority and the target spectrum resources; Based on the task termination time of the 6G network task, the spectrum resources are reallocated for the 6G network task after the spectrum resources are allocated, the spectrum situation map is updated according to the spectrum resources of the reallocated 6G network task, and the spectrum management status of the 6G network is determined using the updated spectrum situation map.

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