CN115567097B - Big data-based communication request satellite switching method, core network and medium - Google Patents
Big data-based communication request satellite switching method, core network and medium Download PDFInfo
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- CN115567097B CN115567097B CN202211181852.6A CN202211181852A CN115567097B CN 115567097 B CN115567097 B CN 115567097B CN 202211181852 A CN202211181852 A CN 202211181852A CN 115567097 B CN115567097 B CN 115567097B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
- H04B7/18519—Operations control, administration or maintenance
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1853—Satellite systems for providing telephony service to a mobile station, i.e. mobile satellite service
- H04B7/18558—Arrangements for managing communications, i.e. for setting up, maintaining or releasing a call between stations
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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 application discloses a big data-based communication request satellite switching method, a core network and a medium, wherein the method mainly comprises the following steps: acquiring state data of a communication request access satellite; comparing the state data of the satellite with the acquired big data information; judging the expected communication blockage of the satellite; and switching the satellite to which the communication request is accessed when the expected communication blockage of the satellite exceeds a preset blockage threshold value. The method and the device have the advantages that the characteristics of large data volume, high value, multiple types and strong authenticity of the big data are utilized, the communication blocking of the satellite is predicted based on the big data, and the communication switching of the high-orbit satellite and the low-orbit satellite is carried out by combining with the core network NWDAF intelligent analysis network element, so that the communication blocking of the low-orbit satellite can be effectively relieved, and the transmission effect of a communication request is improved; the method effectively overcomes the defect of satellite communication switching according to single data, and can be effectively applied to satellite communication operation and maintenance work in densely populated areas and in emergency.
Description
Technical Field
The application relates to the technical field of satellite communication, in particular to a method, equipment and medium for switching a communication request satellite based on big data.
Background
With the development of science and technology and the improvement of living standard of people, in order to enjoy more convenient services, more users use network communication products. Network communication services are mainly implemented by optical fibers or satellites, and partial underdeveloped areas mainly rely on satellites to provide network communication services. However, the number of satellites is limited, and if a region suddenly changes from a low network communication rate to a high network communication rate, the communication load of the satellites may peak, causing the low orbit satellite to block communication, thereby affecting the use of network communication or interrupting the network communication, and the satellite accessed by the communication request needs to be switched to achieve the purpose of distributing the satellite load pressure.
The existing communication request satellite switching is to judge whether to switch according to single satellite state data, and has the defects of accuracy, timeliness and flexibility. With the development of big data, big data information is possible as the basis for the satellite handoff of the communication request.
Disclosure of Invention
In view of the above, the embodiments of the present application provide a method, a core network and a medium for switching a communication request satellite based on big data.
The first aspect of the present application provides a method for switching a communication request satellite based on big data, comprising the steps of:
acquiring state data of a communication request access satellite;
comparing the state data of the satellite with the acquired big data information; judging the expected communication blockage of the satellite;
and switching the satellite to which the communication request is accessed when the expected communication blockage of the satellite exceeds a preset blockage threshold value.
Further, the state data of the satellite specifically includes real-time position information, running orbit, rated load and rated effective coverage of the satellite.
Further, the big data information is obtained by:
dividing a coverage area of the satellite according to the running orbit and the rated effective coverage area of the satellite;
and acquiring big data information from the big data cloud server.
Further, the big data information includes at least population distribution, population flow, communication peak distribution and communication peak time in the satellite coverage area.
Further, the satellite state data is compared with the acquired big data information; the method for judging the expected communication blockage of the satellite specifically comprises the following steps:
the big data information is arranged into dynamic vector data in a satellite coverage area; the dynamic vector data is used for representing expected communication requirements in a satellite coverage area;
calculating floating bias of the dynamic vector data;
the nominal load of the satellite is compared to the float bias to obtain an expected communication blockage for the satellite.
Further, the calculating the floating bias of the motion vector data specifically includes the following steps:
drawing a dynamic vector graph according to dynamic vector data, wherein the dynamic vector graph comprises a time dimension and a vector data dimension;
analyzing the periodic characteristics of the dynamic vector curve graph, and calculating the correction slope of the dynamic vector curve according to the periodic characteristics;
the corrected slope is outputted as a floating bias of the motion vector data.
Further, the method also comprises the following steps:
an emergency event in the satellite coverage area is acquired, and when the satellite coverage area faces the emergency event, the satellite accessed by the communication request is switched.
Further, when the expected communication blocking of the satellite exceeds the preset blocking threshold, switching the satellite to which the communication request is accessed, specifically including the following steps:
acquiring satellites accessible to a communication request, wherein the accessible satellites comprise low-orbit satellites and high-orbit satellites;
classifying the communication requests into at least low latency communication requests and high latency communication requests;
accessing a low-delay communication request to a low-orbit satellite;
and accessing the high-latency communication request to the high-orbit satellite.
The second aspect of the present application discloses a core network for performing 5G communication, including a big data application and an NWDAF network element;
the big data application is used for acquiring big data information;
the NWDAF network element is configured to implement a method for implementing a satellite handoff request based on big data.
A third aspect of the application discloses a computer-readable storage medium storing a program for execution by a processor to implement the method of any one of claims 1-8.
Embodiments of the present application also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the foregoing method.
The embodiment of the application has the following beneficial effects: the application predicts the communication blocking of the satellite based on the characteristics of large data volume, high value, multiple types and strong authenticity of the big data, combines the core network NWDAF intelligent analysis network element to carry out the communication switching of the high-orbit satellite and the low-orbit satellite, can effectively relieve the communication blocking of the low-orbit satellite and improve the transmission effect of the communication request. According to the application, big data is introduced as satellite communication switching basis, so that the defect of satellite communication switching according to single data is effectively overcome, the effect of satellite communication switching can meet the expected demand, and the satellite communication switching method can be effectively applied to satellite communication operation and maintenance work in densely populated areas and in emergency.
Additional aspects and advantages of the application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a main flow of a communication request satellite switching method, a core network and a medium based on big data;
FIG. 2 is a satellite topology diagram of a method, core network and medium for switching a communication request satellite based on big data according to the present application;
fig. 3 is a diagram illustrating an embodiment of a dynamic vector diagram in a core network and a medium, according to the present application, for a method for switching a communication request satellite based on big data.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment describes a big data-based communication request satellite switching method, as shown in fig. 1, mainly comprising the following steps:
s101, acquiring state data of a communication request access satellite;
s102, comparing the state data of the satellite with the acquired big data information; judging the expected communication blockage of the satellite;
s103, switching the satellite accessed by the communication request when the expected communication blockage of the satellite exceeds a preset blockage threshold value.
In step S101, the satellite state data specifically includes real-time position information, orbit, rated load and rated effective coverage of the satellite. The real-time position information of the satellite is used for determining the position of the satellite, and since the low-orbit satellite and the high-orbit satellite according to the embodiment are not geosynchronous satellites of the earth, the position of the satellite relative to the earth changes along with time, and the embodiment acquires the real-time position information of the satellite, thereby being beneficial to the following expectation of communication blockage of the satellite based on big data. The rated load of the satellite is a basic parameter of the satellite, and the higher the rated load is, the lower the expected communication blockage of the satellite is under the same communication pressure; the lower the rated load, the higher the expected communication blockage of the satellite at the same communication pressure. The orbit and the rated effective coverage area of the satellite are used for determining the coverage area of the satellite, and the radius of the rated effective coverage area of the satellite extends out of two sides of the orbit of the satellite respectively, so that the coverage area of the satellite is obtained. The satellite state data acquired in the application may also include the service life, the communication wavelength and the like of the satellite, and is not limited to the state data specifically mentioned in the application; wherein the lifetime of the satellite can be used to determine the rated load attenuation value, the rated effective range attenuation value, etc. of the satellite, and the communication wavelength of the satellite can be used to determine the communication frequency band of the satellite.
Referring to fig. 2, in step S102, big data information is obtained by the following steps:
s201, dividing a coverage area of the satellite according to the running orbit and the rated effective coverage area of the satellite;
s202, acquiring big data information from a big data cloud server.
Specifically, the embodiment is applied to a core network control center, and the core network control center is used for controlling a satellite accessed by a communication request. The core network control center is connected with the big data cloud server, and the big data cloud server is used for acquiring the big data information, wherein the acquired big data information at least comprises population distribution, population flow condition, communication peak distribution and communication peak time in a satellite coverage area. The population distribution and population flow conditions in the satellite coverage area can reflect the communication peak distribution and communication peak time of the satellite coverage area in a future period to a certain extent; the directly acquired communication peak distribution and communication peak time are mainly used for reflecting the communication peak distribution and communication peak time of the satellite coverage area in the previous period; the periodic characteristics of big data information can be obtained by combining the two, and the method is beneficial to the follow-up prediction of satellite communication blocking.
In some embodiments of the present application, the big data information may also include the type and number of communication devices within the satellite coverage area, and the maximum value and forwarding speed of the satellite communication request within the area may be obtained based on the type and number of communication devices within the area, which may also be used as part of the prediction of satellite communication congestion.
In some embodiments of the application, the big data information may also include emergency events within the satellite coverage area. The emergency time may include natural disasters such as earthquakes, mountain fires, etc., or events affecting satellite communications such as base station failure, satellite orbit deviations, etc. When an emergency is encountered, the relevant departments need to conduct command and dispatch work through satellites, so that the expected satellite communication blockage exists, and in this case, the embodiment directly conducts communication request satellite switching, thereby being beneficial to avoiding the situation of communication blockage and facilitating the rescue work.
In step S102, comparing the state data of the satellite with the acquired big data information; the method for judging the expected communication blockage of the satellite specifically comprises the following steps:
s102-1, arranging big data information into dynamic vector data in a satellite coverage area; the dynamic vector data is used to characterize the expected communications demand within the satellite footprint;
s102-2, calculating floating deflection of the dynamic vector data;
s102-3, comparing the rated load of the satellite with the floating deflection to obtain the expected communication blockage of the satellite.
Specifically, the step S102-2 of calculating the floating bias of the motion vector data may be implemented by plotting the motion vector. The dynamic vector graph drawn in this embodiment refers to fig. 3, in which the horizontal axis represents the event dimension, the vertical axis represents the vector data dimension, the broken line represents the history data, and the solid line represents the acquired data. The reliability of satellite communication blocking prediction is determined through the fitting degree of the broken line and the solid line in the dynamic vector graph, and when the reliability is smaller than a certain threshold value (such as the slope deviation exceeds 0.4), the satellite communication blocking prediction result based on big data information is considered unreliable, and the corresponding switching operation is not executed.
The expected communication blockage of the satellites in this embodiment is characterized by a floating bias of the dynamic vector data; the motion vector graph is represented by a correction slope. Specifically, in this embodiment, the prediction of the satellite communication blocking is completed before the satellite runs into the corresponding prediction area, the satellite data threshold value obtained by the rated load of the satellite exists in the dynamic vector graph, and when the dynamic vector graph approaches the threshold value and the correction slope is greater than 0, the phenomenon that the satellite is about to generate the communication blocking can be determined, so that the satellite switching of the communication request is completed in advance before the satellite runs into the corresponding prediction area, and the effects of relieving the satellite communication load and avoiding the communication blocking can be achieved.
In step S103, when the expected communication blocking of the satellite exceeds the preset blocking threshold, the method specifically includes the following steps:
s103-1, acquiring satellites accessible to a communication request, wherein the accessible satellites comprise low-orbit satellites and high-orbit satellites;
s103-2, classifying the communication request into at least a low-delay communication request and a high-delay communication request;
s103-3, accessing a low-delay communication request into a low-orbit satellite;
s103-4, accessing the high-latency communication request to the high-orbit satellite.
In this embodiment, after the core network control center determines that the communication request satellite needs to be switched, the low-orbit satellite and the high-orbit satellite which are connected with the core network control center and used for communication are acquired. Wherein typically low orbit satellites are susceptible to communication blocking due to the default access of the communication request to the low orbit satellite. In this embodiment, the communication requests are divided into two types, one type is a communication request with low time delay requirement, namely, an unnecessary communication request, such as video buffering, mail sending, etc.; the other type is a communication request with higher delay requirement, such as instant messaging, video call, etc. The high-delay communication request is accessed to the high-orbit satellite, and the low-delay communication request is accessed to the low-orbit satellite, so that the communication blocking phenomenon of the low-orbit satellite can be effectively relieved.
In some embodiments of the present application, the communication request may be switched to access the satellite according to the sending device of the communication request, for example, the communication request sent by a government department or a rescue team device may be identified as a low-latency communication request, and the communication request sent by a general terminal may be identified as a high-latency communication request.
The present embodiment introduces a core network for performing 5G communication, including big data application and NWDAF network elements; the big data application is used for acquiring big data information;
the NWDAF network element is configured to implement a method for implementing a satellite handoff based on big data communication request.
Embodiments of the present application also disclose a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions may be read from a computer-readable storage medium by a processor of a computer device, and executed by the processor, to cause the computer device to perform the method shown in fig. 1.
In some alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flowcharts of the present application are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed, and in which sub-operations described as part of a larger operation are performed independently.
Furthermore, while the application is described in the context of functional modules, it should be appreciated that, unless otherwise indicated, one or more of the described functions and/or features may be integrated in a single physical device and/or software module or one or more functions and/or features may be implemented in separate physical devices or software modules. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary to an understanding of the present application. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be apparent to those skilled in the art from consideration of their attributes, functions and internal relationships. Accordingly, one of ordinary skill in the art can implement the application as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative and are not intended to be limiting upon the scope of the application, which is to be defined in the appended claims and their full scope of equivalents.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present application have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the application, the scope of which is defined by the claims and their equivalents.
While the preferred embodiment of the present application has been described in detail, the present application is not limited to the embodiments described above, and those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present application, and these equivalent modifications or substitutions are included in the scope of the present application as defined in the appended claims.
Claims (7)
1. The communication request satellite switching method based on big data is characterized by comprising the following steps:
acquiring state data of a communication request access satellite; the state data of the satellite specifically comprises real-time position information, running orbit, rated load and rated effective coverage of the satellite;
comparing the state data of the satellite with the acquired big data information; judging the expected communication blockage of the satellite;
switching the satellite to which the communication request is accessed when the expected communication blocking of the satellite exceeds a preset blocking threshold;
the big data information is obtained through the following steps:
dividing a coverage area of the satellite according to the running orbit and the rated effective coverage area of the satellite;
acquiring big data information from a big data cloud server; the big data information at least comprises population distribution, population flow condition, communication peak distribution and communication peak time in the satellite coverage area;
wherein the population distribution and population flow conditions within the satellite coverage area are used to reflect the communication peak distribution and communication peak hours of the satellite coverage area for a period of time in the future; the communication peak distribution and communication peak time are used for reflecting the communication peak distribution and communication peak time of the satellite coverage area in the previous period; and combining the communication peak distribution and the communication peak time of the satellite coverage area of the future time period and the previous time period to obtain the periodic characteristics of the big data information.
2. The method of claim 1, wherein the comparing the satellite state data with the collected big data information; the method for judging the expected communication blockage of the satellite specifically comprises the following steps:
the big data information is arranged into dynamic vector data in a satellite coverage area; the dynamic vector data is used for representing expected communication requirements in a satellite coverage area;
calculating floating bias of the dynamic vector data;
the nominal load of the satellite is compared to the float bias to obtain an expected communication blockage for the satellite.
3. The method for switching between satellites in accordance with claim 2, wherein the calculating of the floating bias of the motion vector data comprises the steps of:
drawing a dynamic vector graph according to dynamic vector data, wherein the dynamic vector graph comprises a time dimension and a vector data dimension;
analyzing the periodic characteristics of the dynamic vector curve graph, and calculating the correction slope of the dynamic vector curve according to the periodic characteristics;
the corrected slope is outputted as a floating bias of the motion vector data.
4. The method for requesting satellite handoff for big data based communication according to claim 1, further comprising the steps of:
an emergency event in the satellite coverage area is acquired, and when the satellite coverage area faces the emergency event, the satellite accessed by the communication request is switched.
5. The method for switching between satellites in communication request according to claim 1, wherein when the expected communication blocking of the satellites exceeds a preset blocking threshold, switching between satellites in communication request access specifically comprises the following steps:
acquiring satellites accessible to a communication request, wherein the accessible satellites comprise low-orbit satellites and high-orbit satellites;
classifying the communication requests into at least low latency communication requests and high latency communication requests;
accessing a low-delay communication request to a low-orbit satellite;
and accessing the high-latency communication request to the high-orbit satellite.
6. A core network for performing 5G communication, comprising a big data application and an NWDAF network element;
the big data application is used for acquiring big data information;
the NWDAF network element is configured to perform a method of implementing any of claims 1-5.
7. A computer readable storage medium, characterized in that the storage medium stores a program, which is executed by a processor to implement the method of any one of claims 1-5.
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| CN104079496A (en) * | 2014-07-02 | 2014-10-01 | 南京邮电大学 | Double-deck satellite load balancing method based on link cost conversion |
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