CN115226152B - Communication method, system, electronic equipment and storage medium of satellite network - Google Patents
Communication method, system, electronic equipment and storage medium of satellite network Download PDFInfo
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- CN115226152B CN115226152B CN202210865079.9A CN202210865079A CN115226152B CN 115226152 B CN115226152 B CN 115226152B CN 202210865079 A CN202210865079 A CN 202210865079A CN 115226152 B CN115226152 B CN 115226152B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/0289—Congestion control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/04—Large scale networks; Deep hierarchical networks
- H04W84/06—Airborne or Satellite Networks
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
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Abstract
The embodiment of the application provides a communication method, a system, electronic equipment and a storage medium of a satellite network, wherein the method comprises the following steps: acquiring attribute parameters of each terminal in a coverage range; respectively inputting attribute parameters of each terminal into a plurality of classification models, and determining a plurality of transmission grade probability values of each terminal; determining the transmission grade of each terminal according to a plurality of transmission grade probability values of each terminal; transmitting a preset waiting time range corresponding to the transmission grade to a corresponding terminal; the corresponding terminal randomly selects the duration within the preset waiting duration range, and communicates with the satellite network after waiting for the randomly selected duration. According to the method and the device, the transmission grade of the terminal is determined through the attribute parameters of the terminal, and then the preset waiting time length range corresponding to the transmission grade is sent to the terminal, so that the terminal randomly selects time length in the preset waiting time length range, and communicates with the satellite network after waiting for the randomly selected time length, and signal overload of the satellite network is avoided.
Description
Technical Field
The present invention relates to the field of satellite networks, and in particular, to a communication method, a system, an electronic device, and a storage medium for a satellite network.
Background
The satellite network provides discontinuous coverage communication for the coverage area, i.e. the terminal is not able to communicate with the satellite network during the period of discontinuous coverage of the satellite network. The terminal needs to communicate with the satellite network after waiting for the preset duration of the terminal after the discontinuous coverage cycle of the satellite network, and different terminals are provided with different preset durations.
However, when the preset time interval of the plurality of terminals is short, the plurality of terminals communicate with the satellite network in a short time, which causes overload of the satellite network signal.
Disclosure of Invention
In view of the foregoing, it is an object of the present application to provide a communication method, system, electronic device and storage medium for a satellite network, which can avoid overload of satellite network signals.
In a first aspect, an embodiment of the present application provides a communication method of a satellite network, where the method is applied to a server, and the communication method of the satellite network includes:
acquiring attribute parameters of each terminal in a coverage range, wherein the attribute parameters comprise position parameters and data transmission frequency;
respectively inputting attribute parameters of each terminal into a plurality of classification models, and determining a plurality of transmission grade probability values of each terminal;
determining the transmission grade of each terminal according to a plurality of transmission grade probability values of each terminal;
transmitting a preset waiting time range corresponding to the transmission grade to a corresponding terminal; the corresponding terminal randomly selects the duration within the preset waiting duration range, and communicates with the satellite network after waiting for the randomly selected duration.
In one possible implementation, determining the transmission class of each terminal according to a plurality of transmission class probability values for each terminal includes:
for each transmission level, determining an average value of all transmission level probability values corresponding to the transmission level as a target transmission level probability value of the transmission level in all transmission level probability values;
and determining the transmission grade corresponding to the maximum target transmission grade probability value in all the target transmission grade probability values as the transmission grade of the corresponding terminal.
In one possible implementation manner, the communication method of the satellite network further includes:
acquiring attribute parameters of a plurality of sample terminals, and transmitting grades corresponding to the sample terminals;
and training the classification model by taking the attribute parameters of the sample terminal as sample data and the transmission grade corresponding to the sample terminal as a label.
In one possible implementation manner, after obtaining attribute parameters of a plurality of sample terminals, the method further includes, after obtaining the transmission levels corresponding to the sample terminals:
determining a transmission level combination from all transmission levels; each transmission class combination includes two transmission classes;
for each transmission grade combination, taking the attribute parameters of the sample terminals corresponding to all the transmission grades in the transmission grade combination as sample data, taking the transmission grade corresponding to the sample terminals as a label, and training the two classification models corresponding to the transmission grade combination.
In one possible implementation, the attribute parameters further include registration frequency.
In one possible implementation, the server includes: a network data analysis module;
the network data analysis module acquires attribute parameters of each terminal in a coverage area; the attribute parameters of each terminal are respectively input into a plurality of classification models, and a plurality of transmission grade probability values of each terminal are determined;
the network data analysis module determines the transmission grade of each terminal according to the multiple transmission grade probability values of each terminal.
In one possible implementation, the server further includes: an access and mobile management module;
the access and mobile management module receives the transmission grade of each terminal sent by the network data analysis module and sends the preset waiting time length range corresponding to the transmission grade stored in the storage table to the corresponding terminal.
In a second aspect, an embodiment of the present application further provides a communication system of a satellite network, where the system includes a plurality of terminals and a server;
the server is used for acquiring attribute parameters of each terminal in the coverage range, wherein the attribute parameters comprise position parameters and data transmission frequency;
the server is also used for respectively inputting the attribute parameters of each terminal into a plurality of classification models and determining a plurality of transmission grade probability values of each terminal;
the server is further used for determining the transmission grade of each terminal according to the multiple transmission grade probability values of each terminal;
the server is further used for sending a preset waiting duration range corresponding to the transmission grade to the corresponding terminal;
and the terminal is used for randomly selecting the duration within the preset waiting duration range sent by the server and communicating with the satellite network after waiting for randomly selecting the duration.
In one possible implementation manner, the server is specifically configured to determine, for each transmission level, an average value of all transmission level probability values corresponding to the transmission level as a target transmission level probability value of the transmission level, among all transmission level probability values; and determining the transmission grade corresponding to the maximum target transmission grade probability value in all the target transmission grade probability values as the transmission grade of the corresponding terminal.
In a possible implementation manner, the server is further configured to obtain attribute parameters of a plurality of sample terminals, where the sample terminals correspond to transmission levels;
and the server is also used for training the classification model by taking the attribute parameters of the sample terminal as sample data and the transmission grade corresponding to the sample terminal as a label.
In a possible embodiment, the server is further configured to determine a transmission class combination from all transmission classes; each transmission class combination includes two transmission classes;
the server is further configured to train, for each transmission class combination, the classification model corresponding to the transmission class combination by using, as sample data, attribute parameters of the sample terminals corresponding to all transmission classes in the transmission class combination and using, as a label, the transmission class corresponding to the sample terminal.
In one possible implementation, the attribute parameters further include registration frequency.
In a third aspect, an embodiment of the present application further provides an electronic device, including: a processor, a storage medium, and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium in communication over the bus when the electronic device is operating, the processor executing the machine-readable instructions to perform the steps of the communication method of the satellite network as in any of the first aspects.
In a fourth aspect, embodiments of the present application also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the communication method of the satellite network according to any of the first aspects.
The embodiment of the application provides a communication method, a system, electronic equipment and a storage medium of a satellite network, wherein the communication method of the satellite network comprises the following steps: acquiring attribute parameters of each terminal in a coverage range, wherein the attribute parameters comprise position parameters and data transmission frequency; respectively inputting attribute parameters of each terminal into a plurality of classification models, and determining a plurality of transmission grade probability values of each terminal; determining the transmission grade of each terminal according to a plurality of transmission grade probability values of each terminal; transmitting a preset waiting time range corresponding to the transmission grade to a corresponding terminal; the corresponding terminal randomly selects the duration within the preset waiting duration range, and communicates with the satellite network after waiting for the randomly selected duration. According to the method and the device, the transmission grade of the terminal is determined through the attribute parameters of the terminal, and then the preset waiting time length range corresponding to the transmission grade is sent to the terminal, so that the terminal randomly selects time length in the preset waiting time length range, and communicates with the satellite network after waiting for the randomly selected time length, and signal overload of the satellite network is avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 shows a flowchart of a communication method of a satellite network according to an embodiment of the present application;
FIG. 2 is a flow chart illustrating another method of communication of a satellite network according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a communication system of a satellite network according to an embodiment of the present application;
fig. 4 shows a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the accompanying drawings in the present application are only for the purpose of illustration and description, and are not intended to limit the protection scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this application, illustrates operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to the flow diagrams and one or more operations may be removed from the flow diagrams as directed by those skilled in the art.
In addition, the described embodiments are only some, but not all, of the embodiments of the present application. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
In order to enable one skilled in the art to use the present disclosure, the following embodiments are presented in connection with a specific application scenario "satellite network domain". It will be apparent to those having ordinary skill in the art that the general principles defined herein may be applied to other embodiments and applications without departing from the spirit and scope of the present application. Although the present application is described primarily in the context of "satellite network domain," it should be understood that this is but one exemplary embodiment.
It should be noted that the term "comprising" will be used in the embodiments of the present application to indicate the presence of the features stated hereinafter, but not to exclude the addition of other features.
A detailed description is given below of a communication method of a satellite network provided in an embodiment of the present application.
Referring to fig. 1, a flowchart of a communication method of a satellite network according to an embodiment of the present application is shown, and the following description describes exemplary steps of the embodiment of the present application:
s101, acquiring attribute parameters of each terminal in a coverage range.
In the embodiment of the application, the attribute parameters of all terminals in the coverage area are obtained.
Here, the satellite network provides a discontinuous coverage communication service to terminals within the coverage range, and during the discontinuous coverage period, the satellite network does not provide a communication service to the terminals, that is, during the discontinuous coverage period, the terminals cannot communicate with the satellite network.
Wherein, the attribute parameters comprise position parameters and data transmission frequency. Registration frequency, etc., may also include other attribute parameters of the terminal, and is not specifically limited.
S102, respectively inputting attribute parameters of each terminal into a plurality of classification models, and determining a plurality of transmission grade probability values of each terminal.
In this embodiment of the present application, the classification model is used to determine a probability value of the terminal for each transmission class, and this embodiment of the present application includes multiple transmission classes, where the types of the transmission classes may be determined according to practical situations.
Here, embodiments of the present application include a plurality of bi-classification models, a plurality of transmission classes, each of the bi-classification classes for determining probability values for two of the plurality of transmission classes.
For example, if the embodiment of the present application includes a transmission class I, a transmission class II, and a transmission class III, the embodiment of the present application should include a classification model for determining a probability value of the transmission class I and a probability value of the transmission class II, a classification model for determining a probability value of the transmission class II and a probability value of the transmission class III, and a classification model for determining a probability value of the transmission class I and a probability value of the transmission class III.
S103, determining the transmission grade of each terminal according to the probability values of the transmission grades of the terminals.
Specifically, for each transmission class, an average value of all transmission class probability values corresponding to the transmission class is determined as a target transmission class probability value of the transmission class among all transmission class probability values; and determining the transmission grade corresponding to the maximum target transmission grade probability value in all the target transmission grade probability values as the transmission grade of the corresponding terminal.
In this embodiment of the present application, one terminal corresponds to a plurality of transmission level probability values, and then calculates an average value of all the transmission level probability values of each transmission level for the terminal, and determines the average value as a target transmission level probability value of the transmission level, so that the target transmission level probability value of the terminal corresponding to each transmission level can be obtained, and the transmission level of the terminal with the highest target transmission level probability value is regarded as the transmission level of the terminal.
For example, the plurality of transmission level probability values corresponding to the terminal a include: a probability value of 0.7 for transmission class I, a probability value of 0.3 for transmission class II, a probability value of 0.4 for transmission class I, a probability value of 0.6 for transmission class III, a probability value of 0.4 for transmission class II, a probability value of 0.6 for transmission class III. Then, the average value of the transmission class I is calculated to be (0.7+0.4)/2=0.55, the average value of the transmission class II is calculated to be (0.3+0.4)/2=0.35, and the average value of the transmission class III is calculated to be (0.6+0.6)/2=0.6, so that the transmission class III is regarded as the transmission class of the terminal a.
Optionally, among the multiple transmission level probability values of each classification model, a transmission level with a high transmission level probability value is determined as an initial transmission level corresponding to the terminal, and then the transmission level with the largest number among all the initial transmission levels is taken as the final transmission level of the terminal.
For example, the plurality of transmission level probability values corresponding to the terminal a include: the classification result of the first classification model is a probability value of 0.7 of a transmission grade I, a probability value of 0.3 of a transmission grade II, the classification result of the second classification model is a probability value of 0.4 of a transmission grade I, a probability value of 0.6 of a transmission grade III, the classification result of the third classification model is a probability value of 0.4 of a transmission grade II, a probability value of 0.6 of a transmission grade III, and the initial transmission grade corresponding to the terminal is the transmission grade I aiming at the first classification model. For the second classification model, the initial transmission class corresponding to the terminal is transmission class III. For the third classification model, the initial transmission class corresponding to the terminal is transmission class III. And taking the transmission grade III as the final transmission grade of the terminal if the transmission grade with the largest number in all the initial transmission grades is the transmission grade III.
S104, transmitting a preset waiting time range corresponding to the transmission grade to a corresponding terminal; the corresponding terminal randomly selects the duration within the preset waiting duration range, and communicates with the satellite network after waiting for the randomly selected duration.
In this embodiment of the present invention, each transmission class corresponds to a preset waiting duration range, and the preset waiting duration range is sent to a corresponding terminal, so that the terminal randomly selects a duration in the preset waiting duration range, and when a discontinuous coverage cycle of the satellite network begins, the terminal waits for the randomly selected duration, and then communicates with the satellite network.
The embodiment of the application provides a communication method of a satellite network, which comprises the following steps: acquiring attribute parameters of each terminal in a coverage range, wherein the attribute parameters comprise position parameters and data transmission frequency; respectively inputting attribute parameters of each terminal into a plurality of classification models, and determining a plurality of transmission grade probability values of each terminal; determining the transmission grade of each terminal according to a plurality of transmission grade probability values of each terminal; transmitting a preset waiting time range corresponding to the transmission grade to a corresponding terminal; the corresponding terminal randomly selects the duration within the preset waiting duration range, and communicates with the satellite network after waiting for the randomly selected duration. According to the method and the device, the transmission grade of the terminal is determined through the attribute parameters of the terminal, and then the preset waiting time length range corresponding to the transmission grade is sent to the terminal, so that the terminal randomly selects time length in the preset waiting time length range, and communicates with the satellite network after waiting for the randomly selected time length, and signal overload of the satellite network is avoided.
Referring to fig. 2, a flowchart of another communication method of a satellite network according to an embodiment of the present application is shown, and exemplary steps of the embodiment of the present application are described below:
s201, acquiring attribute parameters of a plurality of sample terminals, and transmitting grades corresponding to the sample terminals.
S202, training the classification model by taking the attribute parameters of the sample terminal as sample data and the transmission grade corresponding to the sample terminal as a label.
Further, a transmission level combination is determined from all the transmission levels; each transmission class combination includes two transmission classes; for each transmission grade combination, taking the attribute parameters of the sample terminals corresponding to all the transmission grades in the transmission grade combination as sample data, taking the transmission grade corresponding to the sample terminals as a label, and training the two classification models corresponding to the transmission grade combination.
In the embodiment of the application, all transmission levels are combined in pairs to obtain a plurality of combinations, each combination corresponds to one classification model, attribute parameters of a sample terminal corresponding to the transmission level in the combination are used as sample data, the transmission level corresponding to the sample terminal is used as a label, and the classification model corresponding to the transmission level combination is trained.
For example, there are three transmission classes, including transmission class I, transmission class II, and transmission class III, and three combinations may be obtained after two-by-two combination, i.e., combination I of transmission class I and transmission class II, combination II of transmission class II and transmission class III, and combination III of transmission class I and transmission class III. And then taking the sample terminal set of the transmission grade I and the transmission grade II as sample data, taking the transmission grade corresponding to the sample terminal as a label, and training the classification model corresponding to the combination I. And training the classification model corresponding to the combination II by taking the sample terminal set of the transmission class II and the transmission class III as sample data and the transmission class corresponding to the sample terminal as a label. And training the classification model corresponding to the combination III by taking the sample terminal set of the transmission grade I and the transmission grade III as sample data and the transmission grade corresponding to the sample terminal as a label.
The embodiment of the application provides another communication method of a satellite network, which comprises the following steps: and acquiring attribute parameters of a plurality of sample terminals, and acquiring transmission grades corresponding to the sample terminals. And training the classification model by taking the attribute parameters of the sample terminal as sample data and the transmission grade corresponding to the sample terminal as a label. By means of the method, the device and the system, a two-class model for determining the transmission grade of the terminal can be obtained.
Referring to fig. 3, a schematic structural diagram of a communication system of a satellite network according to an embodiment of the present application is shown, where the system includes a plurality of terminals 301 and a server 302;
a network data analysis module 303 in the server 302, configured to obtain attribute parameters of each terminal in the coverage area, where the attribute parameters include a location parameter and a data transmission frequency;
the network data analysis module 303 in the server 302 is further configured to input attribute parameters of each terminal into a plurality of classification models respectively, and determine a plurality of transmission level probability values of each terminal;
the network data analysis module 303 in the server 302 is further configured to determine a transmission class of each terminal according to the plurality of transmission class probability values of each terminal;
an access and mobility management module 304 in the server 302, configured to send a preset waiting duration range corresponding to the transmission class sent by the network data analysis module 303 to the corresponding terminal 301;
the terminal 301 is configured to randomly select a duration within a preset waiting duration range sent by the access and mobility management module 304 in the server 302, and communicate with the satellite network after waiting for the randomly selected duration.
In a possible implementation manner, the network data analysis module 303 in the server 302 is specifically configured to determine, for each transmission level, an average value of all transmission level probability values corresponding to the transmission level as a target transmission level probability value of the transmission level, among all transmission level probability values; and determining the transmission grade corresponding to the maximum target transmission grade probability value in all the target transmission grade probability values as the transmission grade of the corresponding terminal.
In a possible implementation manner, the network data analysis module 303 in the server 302 is further configured to obtain attribute parameters of a plurality of sample terminals, and the transmission levels corresponding to the sample terminals;
the network data analysis module 303 in the server 302 is further configured to train the classification model by using the attribute parameter of the sample terminal as sample data and the transmission level corresponding to the sample terminal as a tag.
In a possible implementation, the network data analysis module 303 in the server 302 is further configured to determine a transmission class combination from all the transmission classes; each transmission class combination includes two transmission classes;
the network data analysis module 303 in the server 302 is further configured to train, for each transmission class combination, the classification model corresponding to the transmission class combination by using, as sample data, attribute parameters of sample terminals corresponding to all transmission classes in the transmission class combination and using, as a tag, the transmission class corresponding to the sample terminal.
In one possible implementation, the attribute parameters further include registration frequency.
The embodiment of the application provides a communication system of a satellite network, which comprises a plurality of terminals 301 and a server 302; a network data analysis module 303 in the server 302, configured to obtain attribute parameters of each terminal in the coverage area, where the attribute parameters include a location parameter and a data transmission frequency; the network data analysis module 303 in the server 302 is further configured to input attribute parameters of each terminal into a plurality of classification models respectively, and determine a plurality of transmission level probability values of each terminal; the network data analysis module 303 in the server 302 is further configured to determine a transmission class of each terminal according to the plurality of transmission class probability values of each terminal; an access and mobility management module 304 in the server 302, configured to send a preset waiting duration range corresponding to the transmission class sent by the network data analysis module 303 to the corresponding terminal 301; the terminal 301 is configured to randomly select a duration within a preset waiting duration range sent by the access and mobility management module 304 in the server 302, and communicate with the satellite network after waiting for the randomly selected duration. According to the method and the device, the transmission grade of the terminal is determined through the attribute parameters of the terminal, and then the preset waiting time length range corresponding to the transmission grade is sent to the terminal, so that the terminal randomly selects time length in the preset waiting time length range, and communicates with the satellite network after waiting for the randomly selected time length, and signal overload of the satellite network is avoided.
As shown in fig. 4, an electronic device 400 provided in an embodiment of the present application includes: the system comprises a processor 401, a memory 402 and a bus, the memory 402 storing machine-readable instructions executable by the processor 401, the processor 401 communicating with the memory 402 via the bus when the electronic device is running, the processor 401 executing the machine-readable instructions to perform the steps of the method of communication of a satellite network as described above.
Specifically, the above-mentioned memory 402 and the processor 401 can be general-purpose memories and processors, and are not particularly limited herein, and when the processor 401 runs a computer program stored in the memory 402, the above-mentioned communication method of the satellite network can be executed.
Corresponding to the above satellite network communication method, the embodiment of the application further provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program executes the steps of the satellite network communication method when being executed by a processor.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system and apparatus may refer to corresponding procedures in the method embodiments, which are not described in detail in this application. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, and the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, and for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, indirect coupling or communication connection of devices or modules, electrical, mechanical, or other form.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the information processing method described in the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes or substitutions are covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (7)
1. A method of communication for a satellite network, the method being applied to a server, the method comprising:
acquiring attribute parameters of each terminal in a coverage range, wherein the attribute parameters comprise position parameters and data transmission frequency;
respectively inputting attribute parameters of each terminal into a plurality of classification models, and determining a plurality of transmission grade probability values of each terminal;
determining a transmission class of each terminal based on a plurality of transmission class probability values for each terminal, comprising: for each transmission level, determining an average value of all transmission level probability values corresponding to the transmission level as a target transmission level probability value of the transmission level in all the transmission level probability values; determining a transmission grade corresponding to the maximum target transmission grade probability value in all the target transmission grade probability values as the transmission grade of the corresponding terminal;
transmitting a preset waiting time range corresponding to the transmission grade to a corresponding terminal; and enabling the corresponding terminal to randomly select the duration within the preset waiting duration range, and communicating with a satellite network after waiting for the randomly selected duration.
2. The communication method of a satellite network according to claim 1, wherein the communication method of a satellite network further comprises:
acquiring attribute parameters of a plurality of sample terminals, wherein the sample terminals correspond to transmission grades;
and training the classification model by taking the attribute parameters of the sample terminal as sample data and the transmission grade corresponding to the sample terminal as a label.
3. The method according to claim 2, wherein after the obtaining attribute parameters of a plurality of sample terminals, the sample terminals correspond to transmission levels, the method further comprises:
determining a transmission level combination from all transmission levels; each transmission class combination includes two transmission classes;
and training a classification model corresponding to the transmission grade combination by taking the attribute parameters of the sample terminals corresponding to all the transmission grades in the transmission grade combination as sample data and the transmission grades corresponding to the sample terminals as labels for each transmission grade combination.
4. The method of claim 1, wherein the attribute parameter further comprises a registration frequency.
5. A communication system of satellite network is characterized in that the system comprises a plurality of terminals and a server,
the network data analysis module in the server is used for acquiring attribute parameters of each terminal in the coverage range, wherein the attribute parameters comprise position parameters and data transmission frequency;
the network data analysis module in the server is further used for respectively inputting attribute parameters of each terminal into a plurality of classification models and determining a plurality of transmission grade probability values of each terminal;
the network data analysis module in the server is further configured to determine a transmission class of each terminal according to a plurality of transmission class probability values of each terminal, and includes: for each transmission level, determining an average value of all transmission level probability values corresponding to the transmission level as a target transmission level probability value of the transmission level in all the transmission level probability values; determining a transmission grade corresponding to the maximum target transmission grade probability value in all the target transmission grade probability values as the transmission grade of the corresponding terminal;
the access and mobile management module in the server is used for sending the preset waiting time range corresponding to the transmission grade sent by the network data analysis module to the corresponding terminal;
the terminal is used for randomly selecting duration within a preset waiting duration range sent by the server and communicating with a satellite network after waiting for the randomly selected duration.
6. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating over the bus when the electronic device is running, the processor executing the machine-readable instructions to perform the steps of the method of communication of a satellite network according to any one of claims 1 to 4.
7. A computer-readable storage medium, characterized in that it has stored thereon a computer program which, when executed by a processor, performs the steps of the communication method of a satellite network according to any of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210865079.9A CN115226152B (en) | 2022-07-21 | 2022-07-21 | Communication method, system, electronic equipment and storage medium of satellite network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210865079.9A CN115226152B (en) | 2022-07-21 | 2022-07-21 | Communication method, system, electronic equipment and storage medium of satellite network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115226152A CN115226152A (en) | 2022-10-21 |
| CN115226152B true CN115226152B (en) | 2023-07-25 |
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