6G satellite Internet communication method and system based on gradient time slot analysis

Abstract

The present invention relates to the field of communication engineering, and discloses a 6G satellite Internet communication method and system based on gradient time slot analysis, wherein the method comprises: establishing a communication model between a satellite and a target user; analyzing the channel state of the satellite and the target user; establishing a service demand analysis model for the target user, and analyzing the potential service demand of the target user; determining the modulation and coding scheme of the satellite and the target user, gradient-dividing the potential service demand, obtaining the time slot level, constructing a dynamic resource allocation algorithm for the potential service demand, and configuring the demand resources for the potential service demand; determining the user coordinates of the target user, and analyzing and determining the signal transmission path between the satellite and the target user using a preset routing AI algorithm, and executing the communication between the satellite and the target user based on the signal transmission path and the demand resources. The present invention can improve the communication efficiency of 6G satellite Internet.

Description

Technical Field

[0001] The present invention relates to the field of communication engineering, and in particular to a 6G satellite Internet communication method and system based on gradient time slot analysis. Background Art

[0002] 6G satellite Internet communication refers to the technology and system that uses satellites in geostationary orbit (GEO) for Internet communication. 6G satellite Internet communication is an important part of building the global Internet infrastructure, especially in promoting global Internet popularization and service equalization.

[0003] The traditional method of 6G satellite Internet communication mainly relies on static resource allocation and beamforming strategies. This method lacks dynamic adaptation to real-time channel status and business needs when facing dynamically changing network environments and diversified business needs, resulting in waste of resources and low communication efficiency. Summary of the invention

[0004] The present invention provides a 6G satellite Internet communication method and system based on gradient time slot analysis, the main purpose of which is to improve the communication efficiency of 6G satellite Internet.

[0005] To achieve the above object, the present invention provides a 6G satellite Internet communication method based on gradient time slot analysis, comprising:

[0006] Acquire a satellite topology of a satellite corresponding to the 6G satellite network, analyze communication characteristics of the satellite and a target user corresponding to the 6G satellite network according to the satellite topology, and establish a communication model between the satellite and the target user based on the communication characteristics;

[0007] Using a preset communication monitoring link to monitor the communication information of the communication model, and analyzing the channel status of the satellite and the target user based on the communication information;

[0008] Acquire the business needs of the target user, establish a business needs analysis model for the target user, and analyze the potential business needs of the target user using the business needs analysis model based on the business needs;

[0009] Determine the modulation and coding schemes of the satellite and the target user according to the channel state and the potential service demand, perform gradient division on the potential service demand to obtain a time slot level, construct a dynamic resource allocation algorithm for the potential service demand based on the time slot level and the modulation and coding scheme, and configure the required resources for the potential service demand using the dynamic resource allocation algorithm;

[0010] Determine the user coordinates of the target user, and based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints, and the channel status, use a preset routing AI algorithm to analyze and determine a signal transmission path between the satellite and the target user, and perform communication between the satellite and the target user based on the signal transmission path and the required resources.

[0011] Optionally, obtaining a satellite topology of a satellite corresponding to the 6G satellite network includes:

[0012] Obtain satellite information of a satellite corresponding to the 6G satellite network;

[0013] Based on the satellite information, analyzing the orbital parameters and coverage of the satellite, wherein the orbital parameters include orbital type, orbital altitude, and orbital inclination, and the coverage includes satellite coverage area and satellite coverage frequency range;

[0014] marking the satellite connection relationship and the satellite-user connection relationship of the satellite;

[0015] The satellite topology of the satellite corresponding to the 6G satellite network is constructed through the satellite connection relationship, the satellite-user connection relationship, the orbital parameters and the coverage range.

[0016] Optionally, establishing a communication model between the satellite and the target user based on the communication characteristics includes:

[0017] Analyzing signal propagation parameters, multipath effect parameters, and interference analysis parameters of the satellite and the target user according to the communication characteristics;

[0018] Collecting transmission signals from the satellite and the target user;

[0019] Analyzing the spatial propagation loss of the transmitted signal based on the signal propagation parameter;

[0020] According to the spatial propagation loss, the received signal power of the transmitted signal is calculated using the following formula:

[0021] ;

[0022] in, represents the received signal power of the transmitted signal, represents the transmit signal power of the transmit signal, represents the satellite’s transmitting antenna gain, Indicates the receiving antenna gain of the target user's corresponding signal receiving device. Indicates the signal wavelength of the transmitted signal, Indicates the distance between the satellite's corresponding transmitting antenna and the signal receiving device's corresponding receiving antenna. Represents the spatial propagation loss of the transmitted signal;

[0023] A communication model of the transmitted signal is established according to the received signal power, the multipath effect parameters and the interference analysis parameters.

[0024] Optionally, establishing a communication model of the transmitted signal according to the received signal power, the multipath effect parameter, and the interference analysis parameter includes:

[0025] Analyzing the path gain and path delay of the transmitted signal based on the multipath effect parameters;

[0026] determining, according to the interference analysis parameter, additive noise of the transmitted signal;

[0027] The communication function of the transmitted signal is constructed by using the following formula through the received signal power, the path gain, the path delay and the additive noise; wherein the communication function includes:

[0028] ;

[0029] in, Indicates The received signal at the time, Indicates The received signal power at time represents the number of multipath components of the transmitted signal, Indicates Send a signal at time Path gain on the multipath components, Indicates sending a signal. Indicates time, Indicates Send a signal at time Path delays on multipath components, Indicates Send a signal at time Additive noise on multipath components;

[0030] Based on the communication function, a communication model of the transmitted signal is established.

[0031] Optionally, the establishing of the target user's business demand analysis model includes:

[0032] Acquire historical demand data and historical signal transmission data of the target user;

[0033] Preprocessing the historical demand data and the historical signal transmission data to obtain processed historical demand data and historical signal transmission data;

[0034] Based on the historical signal transmission data, the historical demand data is divided into historical native demand and historical derived demand;

[0035] Extracting original demand characteristics and derived demand characteristics of the historical original demand and the historical derived demand;

[0036] Based on the native demand characteristics and the derived demand characteristics, training the initial business demand analysis model of the target user;

[0037] The analysis model performance of the initial business demand analysis model is identified, and when the analysis model performance meets a preset analysis performance threshold, the initial business demand analysis model is used as the business demand analysis model of the target user.

[0038] Optionally, determining a modulation and coding scheme of the satellite and the target user according to the channel state and the potential service demand includes:

[0039] Determining the modulation and coding technology of the signals sent by the satellite and the target user;

[0040] Constructing a modulation and coding model of the transmitted signal;

[0041] Based on the channel state and the potential service demand, configure coding model parameters of the modulation and coding model;

[0042] Analyzing modulation and coding performance of the modulation and coding technology using the modulation and coding model according to the coding model parameters;

[0043] The modulation and coding scheme of the transmitted signal is determined according to the modulation and coding performance.

[0044] Optionally, constructing the dynamic resource allocation algorithm for the potential service demand based on the time slot level and the modulation and coding scheme includes:

[0045] Analyzing the service resource requirements of the potential service requirements based on the time slot level and the modulation and coding scheme;

[0046] Determining dynamic allocation targets for the potential business needs;

[0047] Identify resource constraints of the potential business needs;

[0048] A dynamic resource allocation algorithm for the potential business demand is constructed according to the business resource demand, the dynamic allocation target and the resource constraint.

[0049] Optionally, constructing the dynamic resource allocation algorithm for the potential business demand according to the business resource demand, the dynamic allocation target and the resource constraint includes:

[0050] Based on the business resource requirements, determining resource solution parameters for the potential business requirements;

[0051] According to the dynamic allocation target, establishing an objective function of the potential business demand;

[0052] Constructing a penalty item of the potential business demand through the resource constraint;

[0053] Based on the resource scheme parameters, the objective function and the penalty term, a dynamic resource allocation algorithm for the potential service demand is constructed using the following formula; wherein the dynamic resource allocation algorithm includes:

[0054] ;

[0055] in, Indicates The fitness of the group resource scheme parameters, Indicates The objective function of the group resource scheme parameters, Indicates The fitness function of the group resource scheme parameters, Indicates Group resource scheme parameters, Indicates the number of resource constraints corresponding to potential business needs, Indicates violation of A resource-constrained penalty term.

[0056] Optionally, the determining the signal transmission path between the satellite and the target user by analyzing and determining the signal transmission path between the satellite and the target user by using a preset routing AI algorithm based on the satellite topology, the potential service demand, the user coordinates, the resource constraint, and the channel state includes:

[0057] Based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints, and the channel status, configure AI algorithm parameters of the routing AI algorithm;

[0058] According to the AI ​​algorithm parameters, using the routing AI algorithm to mark the signal transmission path solution between the satellite and the target user;

[0059] Analyzing the path performance of the signal transmission path solution corresponding to the initial signal transmission path according to the potential service demand, the resource constraint and the channel state;

[0060] Iterating the initial signal transmission path based on the path performance to obtain an iterative signal transmission path;

[0061] When the number of iterations of the iterative signal transmission path reaches a preset iteration upper limit, calculating the iterative path performance of the iterative signal transmission path;

[0062] According to the iterative path performance, a signal transmission path in the iterative signal transmission path is determined. In order to solve the above problem, the present invention also provides a 6G satellite Internet communication system based on gradient time slot analysis, the system comprising:

[0063] A communication model building module is used to obtain a satellite topology of a satellite corresponding to the 6G satellite network, analyze the communication characteristics of the satellite and the target user corresponding to the 6G satellite network according to the satellite topology, and establish a communication model of the satellite and the target user based on the communication characteristics;

[0064] A channel state analysis module, used to monitor the communication information of the communication model using a preset communication monitoring link, and analyze the channel state of the satellite and the target user based on the communication information;

[0065] A potential business demand analysis module is used to obtain the business demand of the target user, establish a business demand analysis model of the target user, and analyze the potential business demand of the target user based on the business demand using the business demand analysis model;

[0066] A demand resource configuration module is used to determine the modulation and coding scheme of the satellite and the target user according to the channel state and the potential service demand, gradient-divide the potential service demand to obtain a time slot level, construct a dynamic resource allocation algorithm for the potential service demand based on the time slot level and the modulation and coding scheme, and configure the demand resources for the potential service demand using the dynamic resource allocation algorithm;

[0067] The signal transmission path determination module is used to determine the user coordinates of the target user, and based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints and the channel status, determine the signal transmission path between the satellite and the target user by using a preset routing AI algorithm analysis, and perform communication between the satellite and the target user based on the signal transmission path and the required resources.

[0068] The present invention obtains the satellite topology of the satellite corresponding to the 6G satellite network to provide basic data for subsequent communication characteristics analysis; based on the communication characteristics, the present invention establishes a communication model of the satellite and the target user to provide a basis for subsequent communication analysis; further, the present invention obtains the business needs of the target user to provide a basis for subsequent modulation and coding generation; further, the present invention analyzes the potential business needs of the target user by using the business demand analysis model to ensure that the future network can meet the emerging needs of the user; further, the present invention determines the modulation and coding scheme of the satellite and the target user according to the channel state and the potential business needs, which can compare the performance of different modulation and coding schemes and select the most suitable scheme to meet the channel state and business needs; further The present invention constructs a dynamic resource allocation algorithm for the potential business demand based on the time slot level and the modulation and coding scheme for optimizing resource allocation in the communication system, thereby improving signal quality. Next, the present invention utilizes the dynamic resource allocation algorithm to configure the required resources for the potential business demand to meet user needs while avoiding waste of resources and improving user experience. Finally, the present invention determines the user coordinates of the target user to provide a basis for optimizing communication path selection, improves user experience, and based on the satellite topology, the potential business demand, the user coordinates, the resource constraints, and the channel state, utilizes a preset routing AI algorithm to analyze and determine the signal transmission path between the satellite and the target user to meet business needs and improve communication quality. Therefore, the present invention can improve the communication efficiency of 6G satellite Internet. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] Figure 1 A schematic diagram of a flow chart of a 6G satellite Internet communication method based on gradient time slot analysis provided by an embodiment of the present invention;

[0070] Figure 2 A functional module diagram of a 6G satellite Internet communication system based on gradient time slot analysis provided by an embodiment of the present invention;

[0071] Figure 3 A schematic diagram of the structure of an electronic device of a 6G satellite Internet communication system based on gradient time slot analysis provided by an embodiment of the present invention;

[0072] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0073] 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.

[0074] The embodiment of the present application provides a 6G satellite Internet communication method based on gradient time slot analysis. The execution subject of the 6G satellite Internet communication method based on gradient time slot analysis includes but is not limited to at least one of the electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiment of the present application. In other words, the 6G satellite Internet communication method based on gradient time slot analysis can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

[0075] Reference Figure 1 As shown, it is a flow chart of a 6G satellite Internet communication method based on gradient time slot analysis provided by an embodiment of the present invention. In this embodiment, the 6G satellite Internet communication method based on gradient time slot analysis includes:

[0076] S1. Obtain the satellite topology of the satellite corresponding to the 6G satellite network, analyze the communication characteristics of the satellite and the target user corresponding to the 6G satellite network according to the satellite topology, and establish a communication model between the satellite and the target user based on the communication characteristics.

[0077] The present invention obtains the satellite topology of the satellite corresponding to the 6G satellite network to provide basic data for subsequent communication characteristics analysis.

[0078] In detail, the obtaining of the satellite topology of the satellite corresponding to the 6G satellite network includes:

[0079] Obtain satellite information of a satellite corresponding to the 6G satellite network;

[0080] Based on the satellite information, analyzing the orbital parameters and coverage of the satellite, wherein the orbital parameters include orbital type, orbital altitude, and orbital inclination, and the coverage includes satellite coverage area and satellite coverage frequency range;

[0081] marking the satellite connection relationship and the satellite-user connection relationship of the satellite;

[0082] The satellite topology of the satellite corresponding to the 6G satellite network is constructed through the satellite connection relationship, the satellite-user connection relationship, the orbital parameters and the coverage range.

[0083] Among them, the satellite information refers to basic data about the satellite, including the satellite's name, model, function and other data; the orbit type refers to the position of the satellite in the earth's orbit, such as geosynchronous orbit (GEO), low earth orbit (LEO), medium earth orbit (MEO) and other positions; the orbit altitude refers to the altitude of the satellite from the earth's surface; the orbit inclination refers to the angle between the satellite orbit plane and the equatorial plane; the satellite coverage area refers to the area on the earth's surface that can be effectively covered by satellite signals; the satellite coverage frequency range refers to the frequency range that the satellite can transmit; the satellite connection relationship refers to the connection relationship between satellites formed through communication monitoring links; the satellite-user connection relationship refers to the connection relationship between satellites and ground users; the satellite topology refers to a satellite network structure diagram that shows the connection relationship between satellites, the connection relationship between satellites and users, and the orbital parameters and coverage of satellites.

[0084] To be explained, the communication characteristics refer to a series of key parameters and conditions when communicating between the satellite and the target user.

[0085] Based on the communication characteristics, the present invention establishes a communication model between the satellite and the target user, which can provide a basis for subsequent communication analysis.

[0086] In detail, the establishing of a communication model between the satellite and the target user based on the communication characteristics includes:

[0087] Analyzing signal propagation parameters, multipath effect parameters, and interference analysis parameters of the satellite and the target user according to the communication characteristics;

[0088] Collecting transmission signals from the satellite and the target user;

[0089] Analyzing the spatial propagation loss of the transmitted signal based on the signal propagation parameter;

[0090] According to the spatial propagation loss, the received signal power of the transmitted signal is calculated using the following formula:

[0091] ;

[0092] in, represents the received signal power of the transmitted signal, represents the transmit signal power of the transmit signal, represents the satellite’s transmitting antenna gain, Indicates the receiving antenna gain of the target user's corresponding signal receiving device. Indicates the signal wavelength of the transmitted signal, Indicates the distance between the satellite's corresponding transmitting antenna and the signal receiving device's corresponding receiving antenna. Represents the spatial propagation loss of the transmitted signal;

[0093] A communication model of the transmitted signal is established according to the received signal power, the multipath effect parameters and the interference analysis parameters.

[0094] Among them, the signal propagation parameters refer to the characteristics of signal propagation in space, including signal wavelength, propagation speed, path loss and other characteristics; the multipath effect parameters refer to the multiple paths experienced by the signal during the propagation process; the interference analysis parameters refer to the parameters used to analyze various factors that may interfere with signal transmission, such as signal source, electromagnetic interference, noise and other parameters; the transmitted signal refers to the original signal sent from a satellite or transmitting device; the space propagation loss refers to the energy loss caused by factors such as increased distance, atmospheric absorption, scattering and other factors during the space propagation of the signal; the received signal power refers to the received signal power; the transmitting antenna gain refers to the power increase of the transmitting antenna relative to the omnidirectional antenna; the receiving antenna gain refers to the power increase of the transmitting antenna relative to the omnidirectional antenna; the signal wavelength refers to the length of one cycle of the signal in space; and the communication model refers to a model used to describe and predict the propagation characteristics of the signal from the transmitting end to the receiving end.

[0095] Further, establishing a communication model of the transmitted signal according to the received signal power, the multipath effect parameter and the interference analysis parameter includes:

[0096] Analyzing the path gain and path delay of the transmitted signal based on the multipath effect parameters;

[0097] determining, according to the interference analysis parameter, additive noise of the transmitted signal;

[0098] The communication function of the transmitted signal is constructed by using the following formula through the received signal power, the path gain, the path delay and the additive noise; wherein the communication function includes:

[0099] ;

[0100] in, Indicates The received signal at the time, Indicates The received signal power at time represents the number of multipath components of the transmitted signal, Indicates Send a signal at time Path gain on the multipath components, Indicates sending a signal. Indicates time, Indicates Send a signal at time Path delays on multipath components, Indicates Send a signal at time Additive noise on multipath components;

[0101] Based on the communication function, a communication model of the transmitted signal is established.

[0102] The path gain refers to the signal The amplitude variation of the multipath component, the path delay refers to the The delay time of the multipath component relative to the direct path, the additive noise refers to the noise added when receiving the signal, the additive noise can be thermal noise, cosmic noise, interference signal and other noise, the signal-to-noise function refers to a mathematical function used to describe how the received signal is formed by the transmitted signal through the multipath effect and additive noise, and the multipath component refers to the different paths that the signal experiences during the propagation process.

[0103] S2. Use a preset communication monitoring link to monitor the communication information of the communication model, and analyze the channel status of the satellite and the target user based on the communication information.

[0104] It should be explained that the communication monitoring link refers to satellite ground stations, user equipment or other monitoring equipment, the communication information refers to data transmitted during the communication process, including user data, control signals, synchronization signals and other data, and the channel state refers to the real-time performance index of the communication monitoring link, which reflects the influence and changes of the signal during the transmission process, including signal strength (such as received signal power), signal quality (such as signal-to-noise ratio), bit error rate, transmission delay, multipath effect, channel fading, etc. In detail, the analysis of the channel state of the satellite and the target user provides a basis for adjusting communication parameters (such as modulation mode, coding scheme, transmission power, etc.) to optimize communication performance.

[0105] S3: Obtain the business needs of the target user, establish a business needs analysis model for the target user, and analyze the potential business needs of the target user using the business needs analysis model based on the business needs.

[0106] The present invention provides a basis for subsequent modulation and coding generation by obtaining the service requirements of the target user. The service requirements refer to the specific requirements of the services or functions required by the user to complete a specific task or achieve a certain goal, including the user's expectations and requirements for service quality, data transmission rate, bandwidth, delay, reliability, security, coverage, etc.

[0107] Optionally, the establishment of the target user's business demand analysis model can further explore the user's needs, thereby formulating a more detailed signal optimization strategy to improve the user's experience.

[0108] In detail, the establishment of the target user's business demand analysis model includes:

[0109] Acquire historical demand data and historical signal transmission data of the target user;

[0110] Preprocessing the historical demand data and the historical signal transmission data to obtain processed historical demand data and historical signal transmission data;

[0111] Based on the historical signal transmission data, the historical demand data is divided into historical native demand and historical derived demand;

[0112] Extracting original demand characteristics and derived demand characteristics of the historical original demand and the historical derived demand;

[0113] Based on the native demand characteristics and the derived demand characteristics, training the initial business demand analysis model of the target user;

[0114] The analysis model performance of the initial business demand analysis model is identified, and when the analysis model performance meets a preset analysis performance threshold, the initial business demand analysis model is used as the business demand analysis model of the target user.

[0115] Among them, the historical demand data refers to the relevant information of user demand recorded in the past period of time, including user service usage records, purchase history, complaint records, service requests, user satisfaction survey results and other data; the historical signal transmission data refers to the relevant parameters in the signal transmission process recorded in the past period of time, involving parameters such as signal strength, bit error rate, transmission delay, bandwidth utilization, network congestion, etc.; the historical native demand refers to the original demand directly expressed or explicitly proposed by the user; the historical derived demand refers to the demand inferred from user behavior or historical native demand; the native demand feature refers to the feature extracted from the historical native demand for analysis, such as demand The frequency of occurrence, demand type, time pattern of demand, urgency of demand, etc. The derived demand features refer to the features extracted from historical derived demands for analysis, including user behavior patterns, specific patterns in signal transmission data, the relationship between demand and signal quality, etc. The initial business demand analysis model refers to the first version of the model trained based on native demand features and derived demand features. The analysis model performance refers to a series of indicators for measuring the effectiveness of the initial business demand analysis model. The analysis performance threshold refers to the standards that the model must meet or exceed to be considered valid. The business demand analysis model refers to a model that has been verified and used to actually predict user business needs.

[0116] Optionally, the historical demand data is divided into historical native demands and historical derived demands based on the historical signal transmission data, and data mining techniques, such as association rule learning, cluster analysis, etc., can be used to discover potential connections between signal features and demands for analysis.

[0117] The present invention ensures that the future network can meet the emerging needs of users by analyzing the potential business needs of the target users using the business need analysis model, wherein the potential business needs refer to needs that may arise in the future but have not yet been clearly expressed or realized by users.

[0118] S4. Determine the modulation and coding scheme of the satellite and the target user according to the channel status and the potential business demand, perform gradient division on the potential business demand to obtain time slot levels, construct a dynamic resource allocation algorithm for the potential business demand based on the time slot levels and the modulation and coding scheme, and use the dynamic resource allocation algorithm to configure the required resources for the potential business demand.

[0119] The present invention determines the modulation and coding schemes of the satellite and the target user according to the channel state and the potential business requirements, can compare the performances of different modulation and coding schemes, and selects the most suitable scheme to meet the channel state and business requirements.

[0120] In detail, determining the modulation and coding scheme of the satellite and the target user according to the channel state and the potential service demand includes:

[0121] Determining the modulation and coding technology of the signals sent by the satellite and the target user;

[0122] Constructing a modulation and coding model of the transmitted signal;

[0123] Based on the channel state and the potential service demand, configure coding model parameters of the modulation and coding model;

[0124] Analyzing modulation and coding performance of the modulation and coding technology using the modulation and coding model according to the coding model parameters;

[0125] The modulation and coding scheme of the transmitted signal is determined according to the modulation and coding performance.

[0126] Among them, the modulation and coding technology refers to the combination of different modulation methods and coding technologies used in digital communication systems to adapt to different channel conditions and improve the reliability and efficiency of data transmission. The modulation and coding model refers to a mathematical model or software tool used to simulate and analyze the performance of modulation and coding technology in a communication system. The coding model parameters refer to the parameters used to describe the coding process in the modulation and coding model, such as coding rate, interleaving depth, number of check bits, etc. The modulation and coding performance refers to the performance of modulation and coding technology in an actual communication environment, including bit error rate, spectrum efficiency, power efficiency, etc. The modulation and coding scheme refers to a set of modulation and coding technologies and their parameters selected in a communication system according to channel status and business requirements.

[0127] The potential business needs are graded to obtain time slot levels, thereby providing a basis for the allocation and scheduling of communication resources. The time slot levels refer to levels graded according to the importance of the potential business needs, such as high, medium, and low levels. In detail, the potential business needs are graded mainly according to the characteristics of the potential business needs, wherein the characteristics of the potential business needs include real-time requirements, reliability requirements, and other characteristics.

[0128] The present invention constructs a dynamic resource allocation algorithm for potential service requirements based on the time slot level and the modulation and coding scheme for optimizing resource allocation in a communication system, thereby improving signal quality.

[0129] In detail, the dynamic resource allocation algorithm for constructing the potential service demand based on the time slot level and the modulation and coding scheme includes:

[0130] Analyzing the service resource requirements of the potential service requirements based on the time slot level and the modulation and coding scheme;

[0131] Determining dynamic allocation targets for the potential business needs;

[0132] Identify resource constraints of the potential business needs;

[0133] A dynamic resource allocation algorithm for the potential business demand is constructed according to the business resource demand, the dynamic allocation target and the resource constraint.

[0134] Among them, the business resource demand refers to the amount of resources required to be allocated in the communication system in order to meet specific business needs, including time slot level, modulation and coding scheme, bandwidth requirement, power requirement and other resource amounts; the dynamic allocation target refers to the goal to be achieved by dynamically allocating resources in the communication system according to business needs and resource constraints, including maximizing resource utilization, minimizing delay, maximizing fairness goals, etc.; the resource constraint refers to the restriction conditions on resource allocation in the communication system, including network capacity limitation, equipment capability limitation, power limitation and other conditions; the dynamic resource allocation algorithm refers to an algorithm that dynamically adjusts the resource allocation strategy according to business resource demand, dynamic allocation target and resource constraints.

[0135] Optionally, the dynamic resource allocation algorithm for constructing the potential business demand may be implemented by a genetic algorithm.

[0136] Furthermore, constructing a dynamic resource allocation algorithm for the potential business demand according to the business resource demand, the dynamic allocation target and the resource constraint includes:

[0137] Based on the business resource requirements, determining resource solution parameters for the potential business requirements;

[0138] According to the dynamic allocation target, establishing an objective function of the potential business demand;

[0139] Constructing a penalty item of the potential business demand through the resource constraint;

[0140] Based on the resource scheme parameters, the objective function and the penalty term, a dynamic resource allocation algorithm for the potential service demand is constructed using the following formula; wherein the dynamic resource allocation algorithm includes:

[0141] ;

[0142] in, Indicates The fitness of the group resource scheme parameters, Indicates The objective function of the group resource scheme parameters, Indicates The fitness function of the group resource scheme parameters, Indicates Group resource scheme parameters, Indicates the number of resource constraints corresponding to potential business needs, Indicates violation of A resource-constrained penalty term.

[0143] Among them, the resource scheme parameters refer to the parameters selected when allocating resources in a communication system in order to meet specific business needs, including time slot level, modulation and coding scheme, bandwidth allocation, power allocation and other parameters; the penalty term refers to the degree of penalty for reflecting the violation of resource constraints by the resource allocation scheme; the objective function refers to a standard function for evaluating the pros and cons of the resource allocation scheme; the fitness function refers to a function that comprehensively considers the objective function and the penalty term, which reflects the pros and cons of the resource allocation scheme.

[0144] The present invention utilizes the dynamic resource allocation algorithm to configure the required resources of the potential business needs, which can meet the user needs while avoiding waste of resources and improving the user experience. The required resources generally refer to the network resources required to meet specific business needs, including but not limited to parameters such as time slots, bandwidth, power, and spectrum.

[0145] S5. Determine the user coordinates of the target user, and based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints, and the channel status, use a preset routing AI algorithm to analyze and determine the signal transmission path between the satellite and the target user, and perform communication between the satellite and the target user based on the signal transmission path and the required resources.

[0146] The present invention provides a basis for optimizing communication path selection and improving user experience by determining the user coordinates of the target user. The user coordinates refer to the geographical location of the target user in the satellite communication system, which can be achieved using the Global Positioning System (GPS).

[0147] The present invention uses a preset routing AI algorithm to analyze and determine the signal transmission path between the satellite and the target user based on the satellite topology, the potential business needs, the user coordinates, the resource constraints and the channel status, so as to meet business needs and improve communication quality.

[0148] In detail, the determining the signal transmission path between the satellite and the target user by analyzing and determining the signal transmission path between the satellite and the target user using a preset routing AI algorithm based on the satellite topology, the potential service demand, the user coordinates, the resource constraint, and the channel state includes:

[0149] Based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints, and the channel status, configure AI algorithm parameters of the routing AI algorithm;

[0150] According to the AI ​​algorithm parameters, using the routing AI algorithm to mark the signal transmission path solution between the satellite and the target user;

[0151] Analyzing the path performance of the signal transmission path solution corresponding to the initial signal transmission path according to the potential service demand, the resource constraint and the channel state;

[0152] Iterating the initial signal transmission path based on the path performance to obtain an iterative signal transmission path;

[0153] When the number of iterations of the iterative signal transmission path reaches a preset iteration upper limit, calculating the iterative path performance of the iterative signal transmission path;

[0154] A signal transmission path in the iterative signal transmission path is determined according to the iterative path performance.

[0155] Among them, the AI ​​algorithm parameters refer to the parameters that need to be set in the routing AI algorithm, such as population size, number of iterations, crossover probability, mutation probability and other parameters; the signal transmission path solution refers to the potential signal transmission path obtained by iterative optimization in the routing AI algorithm; the path performance refers to the performance of the signal transmission path, such as transmission rate, delay, reliability, etc.; the iterative signal transmission path refers to the path generated by selection, crossover, mutation and other operations during the iteration process of the routing AI algorithm; the iteration upper limit refers to the upper limit of the number of iterations set in the routing AI algorithm; the iterative path performance refers to the performance of the iterative signal transmission path evaluated during the iteration process; and the signal transmission path refers to the communication path from the satellite to the target user that is finally determined.

[0156] Optionally, the solution of marking the signal transmission path between the satellite and the target user by using the routing AI algorithm according to the AI ​​algorithm parameters may be implemented by a genetic algorithm.

[0157] The present invention obtains the satellite topology of the satellite corresponding to the 6G satellite network to provide basic data for subsequent communication characteristics analysis; based on the communication characteristics, the present invention establishes a communication model of the satellite and the target user to provide a basis for subsequent communication analysis; further, the present invention obtains the business needs of the target user to provide a basis for subsequent modulation and coding generation; further, the present invention analyzes the potential business needs of the target user by using the business demand analysis model to ensure that the future network can meet the emerging needs of the user; further, the present invention determines the modulation and coding scheme of the satellite and the target user according to the channel state and the potential business needs, which can compare the performance of different modulation and coding schemes and select the most suitable scheme to meet the channel state and business needs; further The present invention constructs a dynamic resource allocation algorithm for the potential business demand based on the time slot level and the modulation and coding scheme for optimizing resource allocation in the communication system, thereby improving signal quality. Next, the present invention utilizes the dynamic resource allocation algorithm to configure the required resources for the potential business demand to meet user needs while avoiding waste of resources and improving user experience. Finally, the present invention determines the user coordinates of the target user to provide a basis for optimizing communication path selection, improves user experience, and based on the satellite topology, the potential business demand, the user coordinates, the resource constraints, and the channel state, utilizes a preset routing AI algorithm to analyze and determine the signal transmission path between the satellite and the target user to meet business needs and improve communication quality. Therefore, the present invention can improve the communication efficiency of 6G satellite Internet.

[0158] like Figure 2 As shown, it is a functional module diagram of a 6G satellite Internet communication system based on gradient time slot analysis provided by one embodiment of the present invention.

[0159] The 6G satellite Internet communication system 200 based on gradient time slot analysis of the present invention can be installed in an electronic device. According to the functions implemented, the 6G satellite Internet communication system 200 based on gradient time slot analysis can include a communication model building module 201, a channel state analysis module 202, a potential business demand analysis module 203, a demand resource configuration module 204 and a signal transmission path determination module 205. The module of the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0160] In this embodiment, the functions of each module / unit are as follows:

[0161] The communication model building module 201 is used to obtain the satellite topology of the satellite corresponding to the 6G satellite network, analyze the communication characteristics of the satellite and the target user corresponding to the 6G satellite network according to the satellite topology, and establish a communication model between the satellite and the target user based on the communication characteristics;

[0162] The channel state analysis module 202 is used to monitor the communication information of the communication model using a preset communication monitoring link, and analyze the channel state of the satellite and the target user based on the communication information;

[0163] The potential business demand analysis module 203 is used to obtain the business demand of the target user, establish a business demand analysis model of the target user, and analyze the potential business demand of the target user based on the business demand using the business demand analysis model;

[0164] The demand resource configuration module 204 is used to determine the modulation and coding scheme of the satellite and the target user according to the channel state and the potential service demand, gradient-divide the potential service demand to obtain a time slot level, construct a dynamic resource allocation algorithm for the potential service demand based on the time slot level and the modulation and coding scheme, and configure the demand resources for the potential service demand using the dynamic resource allocation algorithm;

[0165] The signal transmission path determination module 205 is used to determine the user coordinates of the target user, and based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints and the channel status, determine the signal transmission path between the satellite and the target user using a preset routing AI algorithm analysis, and perform communication between the satellite and the target user based on the signal transmission path and the required resources.

[0166] In detail, the modules described in the 6G satellite Internet communication system 200 based on gradient time slot analysis described in the embodiment of the present invention adopt the same technical means as the 6G satellite Internet communication method based on gradient time slot analysis described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0167] An embodiment of the present invention provides an electronic device for implementing a 6G satellite Internet communication method based on gradient time slot analysis.

[0168] See also Figure 3 As shown, the electronic device may include a processor 30, a memory 31, a communication bus 32 and a communication interface 33, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as a 6G satellite Internet communication method program based on gradient time slot analysis.

[0169] In some embodiments, the processor may be composed of an integrated circuit, for example, a single packaged integrated circuit, or a plurality of integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and a combination of various control chips. The processor is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect the various components of the entire electronic device, and executes or executes the programs or modules stored in the memory (for example, executing the 6G satellite Internet communication program based on gradient time slot analysis, etc.), and calls the data stored in the memory to execute various functions of the electronic device and process data.

[0170] The memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory may be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. In other embodiments, the memory may also be an external storage device of an electronic device, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device. Further, the memory may also include both an internal storage unit of the electronic device and an external storage device. The memory can be used not only to store application software and various types of data installed in the electronic device, such as the code of a 6G satellite Internet communication program based on gradient time slot analysis, but also to temporarily store data that has been output or is to be output.

[0171] The communication bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory and at least one processor, etc.

[0172] The communication interface is used for communication between the above-mentioned electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a display (Display), an input unit (such as a keyboard (Keyboard)), and optionally, the user interface may also be a standard wired interface, a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode, organic light-emitting diode) touch device, etc. Among them, the display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device and to display a visual user interface.

[0173] For example, although not shown, the electronic device may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0174] It should be understood that the embodiment is for illustration only and the scope of the patent application is not limited to this structure.

[0175] The 6G satellite Internet communication program based on gradient time slot analysis stored in the memory of the electronic device is a combination of multiple instructions, which, when running in the processor, can achieve:

[0176] Acquire a satellite topology of a satellite corresponding to the 6G satellite network, analyze communication characteristics of the satellite and a target user corresponding to the 6G satellite network according to the satellite topology, and establish a communication model between the satellite and the target user based on the communication characteristics;

[0177] Using a preset communication monitoring link to monitor the communication information of the communication model, and analyzing the channel status of the satellite and the target user based on the communication information;

[0178] Acquire the business needs of the target user, establish a business needs analysis model for the target user, and analyze the potential business needs of the target user using the business needs analysis model based on the business needs;

[0179] Determine the modulation and coding schemes of the satellite and the target user according to the channel state and the potential service demand, perform gradient division on the potential service demand to obtain a time slot level, construct a dynamic resource allocation algorithm for the potential service demand based on the time slot level and the modulation and coding scheme, and configure the required resources for the potential service demand using the dynamic resource allocation algorithm;

[0180] Determine the user coordinates of the target user, and based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints, and the channel status, use a preset routing AI algorithm to analyze and determine a signal transmission path between the satellite and the target user, and perform communication between the satellite and the target user based on the signal transmission path and the required resources.

[0181] Specifically, the specific implementation method of the processor for the above instructions can refer to the description of the relevant steps in the corresponding embodiment of the accompanying drawings, which will not be repeated here.

[0182] Furthermore, if the module / unit integrated in the electronic device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or system that can carry the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0183] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0184] Acquire a satellite topology of a satellite corresponding to the 6G satellite network, analyze communication characteristics of the satellite and a target user corresponding to the 6G satellite network according to the satellite topology, and establish a communication model between the satellite and the target user based on the communication characteristics;

[0185] Using a preset communication monitoring link to monitor the communication information of the communication model, and analyzing the channel status of the satellite and the target user based on the communication information;

[0186] Acquire the business needs of the target user, establish a business needs analysis model for the target user, and analyze the potential business needs of the target user using the business needs analysis model based on the business needs;

[0187] Determine the modulation and coding schemes of the satellite and the target user according to the channel state and the potential service demand, perform gradient division on the potential service demand to obtain a time slot level, construct a dynamic resource allocation algorithm for the potential service demand based on the time slot level and the modulation and coding scheme, and configure the required resources for the potential service demand using the dynamic resource allocation algorithm;

[0188] Determine the user coordinates of the target user, and based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints, and the channel status, use a preset routing AI algorithm to analyze and determine a signal transmission path between the satellite and the target user, and perform communication between the satellite and the target user based on the signal transmission path and the required resources.

[0189] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0190] 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 distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0191] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0192] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0193] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0194] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Artificial Intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0195] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0196] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A 6G satellite Internet communication method based on gradient time slot analysis, characterized in that: The method comprises: Obtain a satellite topology of a satellite corresponding to a 6G satellite network, analyze communication characteristics of a target user corresponding to the satellite and the 6G satellite network according to the satellite topology, and establish a communication model of the satellite and the target user based on the communication characteristics, wherein the communication model of the satellite and the target user based on the communication characteristics includes: analyzing signal propagation parameters, multipath effect parameters, and interference analysis parameters of the satellite and the target user according to the communication characteristics, collecting transmission signals of the satellite and the target user, analyzing spatial propagation losses of the transmission signals based on the signal propagation parameters, and calculating the received signal power of the transmission signal according to the spatial propagation losses using the following formula: ； in, represents the received signal power of the transmitted signal, represents the transmit signal power of the transmit signal, represents the satellite’s transmitting antenna gain, Indicates the receiving antenna gain of the target user's corresponding signal receiving device. Indicates the signal wavelength of the transmitted signal, Indicates the distance between the satellite's corresponding transmitting antenna and the signal receiving device's corresponding receiving antenna. Indicates the spatial propagation loss of the transmitted signal, and establishes a communication model of the transmitted signal according to the received signal power, the multipath effect parameter and the interference analysis parameter; Using a preset communication monitoring link to monitor the communication information of the communication model, and based on the communication information, analyzing the channel status of the satellite and the target user; Acquire the business needs of the target user, establish a business needs analysis model for the target user, and analyze the potential business needs of the target user using the business needs analysis model based on the business needs; According to the channel state and the potential business demand, the modulation and coding scheme of the satellite and the target user is determined, the potential business demand is gradiently divided to obtain a time slot level, and a dynamic resource allocation algorithm for the potential business demand is constructed based on the time slot level and the modulation and coding scheme, wherein the construction of the dynamic resource allocation algorithm for the potential business demand based on the time slot level and the modulation and coding scheme includes: analyzing the business resource demand of the potential business demand based on the time slot level and the modulation and coding scheme, determining the dynamic allocation target of the potential business demand, identifying the resource constraints of the potential business demand, constructing the dynamic resource allocation algorithm for the potential business demand according to the business resource demand, the dynamic allocation target and the resource constraints, and configuring the demand resources for the potential business demand using the dynamic resource allocation algorithm; Determine the user coordinates of the target user, and based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints, and the channel status, use a preset routing AI algorithm to analyze and determine a signal transmission path between the satellite and the target user, and perform communication between the satellite and the target user based on the signal transmission path and the required resources.

2. The 6G satellite Internet communication method based on gradient time slot analysis as claimed in claim 1, characterized in that: The obtaining of the satellite topology of the satellite corresponding to the 6G satellite network includes: Obtain satellite information of a satellite corresponding to the 6G satellite network; Based on the satellite information, analyzing the orbital parameters and coverage of the satellite, wherein the orbital parameters include orbital type, orbital altitude, and orbital inclination, and the coverage includes satellite coverage area and satellite coverage frequency range; marking the satellite connection relationship and the satellite-user connection relationship of the satellite; The satellite topology of the satellite corresponding to the 6G satellite network is constructed through the satellite connection relationship, the satellite-user connection relationship, the orbital parameters and the coverage range.

3. The 6G satellite Internet communication method based on gradient time slot analysis as claimed in claim 2, characterized in that: The establishing of the communication model of the transmitted signal according to the received signal power, the multipath effect parameter and the interference analysis parameter comprises: Analyzing the path gain and path delay of the transmitted signal based on the multipath effect parameters; determining, according to the interference analysis parameter, additive noise of the transmitted signal; The communication function of the transmitted signal is constructed by using the following formula through the received signal power, the path gain, the path delay and the additive noise; wherein the communication function includes: ； in, Indicates The received signal at the time, Indicates The received signal power at time represents the number of multipath components of the transmitted signal, Indicates Send a signal at time Path gain on the multipath components, Indicates sending a signal. Indicates time, Indicates Send a signal at time Path delays on multipath components, Indicates Send a signal at time Additive noise on multipath components; Based on the communication function, a communication model of the transmitted signal is established.

4. The 6G satellite Internet communication method based on gradient time slot analysis as claimed in claim 3, characterized in that: The establishing of the target user's business demand analysis model includes: Acquire historical demand data and historical signal transmission data of the target user; Preprocessing the historical demand data and the historical signal transmission data to obtain processed historical demand data and historical signal transmission data; Based on the historical signal transmission data, the historical demand data is divided into historical native demand and historical derived demand; Extracting original demand characteristics and derived demand characteristics of the historical original demand and the historical derived demand; Based on the native demand characteristics and the derived demand characteristics, training the initial business demand analysis model of the target user; The analysis model performance of the initial business demand analysis model is identified, and when the analysis model performance meets a preset analysis performance threshold, the initial business demand analysis model is used as the business demand analysis model of the target user.

5. The 6G satellite Internet communication method based on gradient time slot analysis as claimed in claim 4, characterized in that: The determining, according to the channel state and the potential service demand, a modulation and coding scheme of the satellite and the target user comprises: Determining the modulation and coding technology of the signals sent by the satellite and the target user; Constructing a modulation and coding model of the transmitted signal; Based on the channel state and the potential service demand, configure coding model parameters of the modulation and coding model; Analyzing modulation and coding performance of the modulation and coding technology using the modulation and coding model according to the coding model parameters; The modulation and coding scheme of the transmitted signal is determined according to the modulation and coding performance.

6. The 6G satellite Internet communication method based on gradient time slot analysis as claimed in claim 5, characterized in that: The step of constructing a dynamic resource allocation algorithm for the potential business demand according to the business resource demand, the dynamic allocation target and the resource constraint includes: Based on the business resource requirements, determining resource solution parameters for the potential business requirements; According to the dynamic allocation target, establishing an objective function of the potential business demand; Constructing a penalty item of the potential business demand through the resource constraint; Based on the resource scheme parameters, the objective function and the penalty term, a dynamic resource allocation algorithm for the potential service demand is constructed using the following formula; wherein the dynamic resource allocation algorithm includes: ； in, Indicates The fitness of the group resource scheme parameters, Indicates The objective function of the group resource scheme parameters, Indicates The fitness function of the group resource scheme parameters, Indicates Group resource scheme parameters, Indicates the number of resource constraints corresponding to potential business needs, Indicates violation of A resource-constrained penalty term.

7. The 6G satellite Internet communication method based on gradient time slot analysis as claimed in claim 6, characterized in that: The determining, based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints, and the channel status, of a signal transmission path between the satellite and the target user by using a preset routing AI algorithm analysis includes: Based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints, and the channel status, configure AI algorithm parameters of the routing AI algorithm; According to the AI ​​algorithm parameters, using the routing AI algorithm to mark the signal transmission path solution between the satellite and the target user; Analyzing the path performance of the signal transmission path solution corresponding to the initial signal transmission path according to the potential service demand, the resource constraint and the channel state; Iterating the initial signal transmission path based on the path performance to obtain an iterative signal transmission path; When the number of iterations of the iterative signal transmission path reaches a preset iteration upper limit, calculating the iterative path performance of the iterative signal transmission path; A signal transmission path in the iterative signal transmission path is determined according to the iterative path performance.

8. A 6G satellite Internet communication system based on gradient time slot analysis, characterized in that: A system for executing a 6G satellite Internet communication method based on gradient time slot analysis as described in any one of claims 1 to 7, the system comprising: A communication model building module is used to obtain a satellite topology of a satellite corresponding to the 6G satellite network, analyze the communication characteristics of the satellite and the target user corresponding to the 6G satellite network according to the satellite topology, and establish a communication model of the satellite and the target user based on the communication characteristics; A channel state analysis module, used to monitor the communication information of the communication model using a preset communication monitoring link, and analyze the channel state of the satellite and the target user based on the communication information; A potential business demand analysis module is used to obtain the business demand of the target user, establish a business demand analysis model of the target user, and analyze the potential business demand of the target user based on the business demand using the business demand analysis model; A demand resource configuration module is used to determine the modulation and coding scheme of the satellite and the target user according to the channel state and the potential service demand, gradient-divide the potential service demand to obtain a time slot level, construct a dynamic resource allocation algorithm for the potential service demand based on the time slot level and the modulation and coding scheme, and configure the demand resources for the potential service demand using the dynamic resource allocation algorithm; The signal transmission path determination module is used to determine the user coordinates of the target user, and based on the satellite topology, the potential service requirements, the user coordinates, the resource constraints and the channel status, determine the signal transmission path between the satellite and the target user by using a preset routing AI algorithm analysis, and perform communication between the satellite and the target user based on the signal transmission path and the required resources.

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