CN116208306A - Abnormal signaling management and control method and device, electronic equipment and storage medium - Google Patents
Abnormal signaling management and control method and device, electronic equipment and storage medium Download PDFInfo
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- H04L5/00—Arrangements affording multiple use of the transmission path
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Abstract
The embodiment of the invention relates to the technical field of 5G communication, and discloses a method, a device, electronic equipment and a storage medium for managing and controlling abnormal signaling. The control method of the abnormal signaling comprises the following steps: receiving abnormal signaling from user terminal forwarded by each network function entity; according to the abnormal signaling, a request message for acquiring analysis data of the user terminal is sent to a network data analysis function; after the analysis data is received, generating a management and control strategy corresponding to the user terminal; and sending the management and control strategy to an access and mobility management function (AMF) for the AMF to manage and control the abnormal signaling sent by the user terminal according to the management and control strategy. The control method of the abnormal signaling provided by the embodiment of the invention can dynamically set the control strategy of the business process aiming at different users, and ensure that the network equipment can safely operate.
Description
Technical Field
The embodiment of the application relates to the technical field of 5G communication, in particular to a management and control method and device for abnormal signaling, electronic equipment and a storage medium.
Background
Terminal anomalies, such as terminal access point (Access Point Name, APN) or other parameter errors, terminal poisoning, and malicious attack on the network, often occur in the existing network, which results in an increase in signaling anomalies, resulting in continuous retransmission after continuous failure of terminal services, and thus frequent occurrence of attach/service request/protocol data unit (Protocol Data Unit, PDU) session establishment requests. If the number of signaling requests is large within a certain period of time, key performance indicators (Key Performance Indicator, KPI) are lowered, core network resources are consumed, and core network congestion is easily caused.
In view of the above problems, the current solutions are: the network side sets a certain threshold for each flow of the user, when the user business flow exceeds the threshold, the access and mobility management function (Access and Mobility, AMF) adds the user business flow to the blacklist, and limits the business flow for a certain time, for example, discards or refuses the business flow of the user.
However, in the above-mentioned scheme for managing and controlling a service flow, the AMF can only statically configure thresholds for all users, but cannot set different thresholds based on different user behaviors, and the AMF can only acquire part of access and mobility management related data, and cannot acquire session management data and service access data of the users, which results in incomplete limitation on the users.
Disclosure of Invention
The main purpose of the embodiments of the present application is to provide a method, an apparatus, an electronic device, and a storage medium for managing and controlling abnormal signaling, which can dynamically set a management and control policy of a business process for different users, so as to ensure that a network device can operate safely.
In order to achieve at least the above objective, an embodiment of the present application provides a method for controlling abnormal signaling, which is applied to an information decision entity, including: receiving abnormal signaling from user terminal forwarded by each network function entity; according to the abnormal signaling, a request message for acquiring analysis data of the user terminal is sent to a network data analysis function; after the analysis data is received, generating a management and control strategy corresponding to the user terminal; and sending the management and control strategy to an access and mobility management function (AMF) for the AMF to manage and control the abnormal signaling sent by the user terminal according to the management and control strategy.
In order to achieve at least the above objective, an embodiment of the present application further provides a method for controlling abnormal signaling, which is applied to a network data analysis function, including: receiving a request message sent by an information decision entity and used for acquiring analysis data of a user terminal; generating the analysis data; and sending the analysis data to the information decision entity, wherein the information decision entity generates a management and control strategy which is sent to the AMF and corresponds to the user terminal, and the management and control strategy is used for controlling the abnormal signaling sent by the user terminal by the AMF.
To at least achieve the above objective, an embodiment of the present application further provides a device for controlling abnormal signaling, which is applied to an information decision entity, including: the receiving module is used for receiving the abnormal signaling from the user terminal forwarded by each network functional entity; the sending module is used for sending a request message for acquiring analysis data of the user terminal to a network data analysis function according to the abnormal signaling; the generation module is used for generating a management and control strategy corresponding to the user terminal after receiving the analysis data; and the execution module is used for sending the management and control strategy to an access and mobility management function (AMF) so that the AMF can manage and control the abnormal signaling sent by the user terminal according to the management and control strategy.
In order to achieve at least the above objective, an embodiment of the present application further provides a device for controlling abnormal signaling, which is applied to a network data analysis function, including: the receiving module is used for receiving a request message which is sent by the information decision entity and used for acquiring analysis data of the user terminal; the request message carries the data type of the analysis data; the generation module is used for generating the analysis data; and the sending module is used for sending the analysis data to the information decision entity, so that the information decision entity can generate a management and control strategy corresponding to the user terminal and sent to the AMF, and the management and control strategy is used for controlling the abnormal signaling sent by the user terminal by the AMF.
To achieve at least the above object, an embodiment of the present application further provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, where the instructions are executable by the at least one processor to enable the at least one processor to perform the method for controlling abnormal signaling applied to an information decision entity or to perform the method for controlling abnormal signaling applied to a network data analysis function.
To achieve at least the above objective, an embodiment of the present application further provides a computer readable storage medium storing a computer program, where the computer program when executed by a processor implements the method for controlling abnormal signaling applied to an information decision entity, or implements the method for controlling abnormal signaling applied to a network data analysis function.
According to the abnormal signaling management and control method, after the abnormal signaling from the user terminal forwarded by each network functional entity is received, a request message for acquiring analysis data of the user terminal is sent to a network data analysis function according to the abnormal signaling, after the analysis data is received, a management and control strategy corresponding to the user terminal is generated, and then the management and control strategy is sent to an access and mobility management function (AMF) for the AMF to manage and control the abnormal signaling sent by the user terminal according to the management and control strategy. After the abnormal signaling from the user terminal forwarded by each network function entity is received, the information network decision entity acquires the analysis data of the user terminal by requesting the network analysis function, can generate the management and control strategy corresponding to the user terminal according to the analysis data of the user terminal, and can dynamically set different management and control strategies for different user terminals. And then adopting a management and control strategy corresponding to the user terminal to manage and control the abnormal signaling of the user terminal, and rejecting the signaling request of the user terminal when the abnormal signaling request of the user terminal exceeds a threshold value set for the user terminal so as to reduce signaling to be processed at a network side, solve signaling storm, avoid network congestion, ensure the safe operation of network equipment and powerfully ensure the success rate of using data services and other services by the normal user terminal.
Drawings
One or more embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements, and in which the figures are not to be considered limiting unless expressly stated otherwise.
FIG. 1 is a reference architecture diagram of an NWDAF service;
FIG. 2 is a functional architecture diagram of an NWDAF;
FIG. 3 is a flow chart of a method for managing exception signaling provided in accordance with one embodiment of the present invention;
FIG. 4 is a system interaction diagram provided in accordance with one embodiment of the present invention;
FIG. 5 is a flow chart of a method for managing exception signaling according to another embodiment of the present invention;
FIG. 6 is a schematic diagram of a device for managing exception signaling according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a device for managing exception signaling according to another embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the embodiments of the present application will be described in detail below with reference to the accompanying drawings. However, as will be appreciated by those of ordinary skill in the art, in the various embodiments of the present application, numerous technical details have been set forth in order to provide a better understanding of the present application. However, the technical solutions claimed in the present application can be implemented without these technical details and with various changes and modifications based on the following embodiments. The following embodiments are divided for convenience of description, and should not be construed as limiting the specific implementation of the present application, and the embodiments may be mutually combined and referred to without contradiction.
For ease of understanding, the following description will now be given of the network data analysis function (Network Data Analytics Function, NWDAF):
the NWDAF is a data-aware analysis network element, is a network function introduced by the 3GPP protocol in the 5G standard of Rel 15, and is mainly used for analyzing network-related data. In the 5G standard of Rel 16, NWDAF is further extended to analysis of various network data, including network operation data collected from 5G network functions, statistics data related to terminals and networks acquired from an operation and maintenance management system (Operation Administration and Maintenance, OAM), and application data acquired from a third party application, and then analysis results generated by NWDAF are output to the 5G network functions, OAM, or the third party application, and intelligent closed-loop decision is completed by these network elements.
In one example, the reference architecture of NWDAF service is shown in fig. 1, where NWDAF is connected to all network elements, comprising: policy control functions (Policy Control function, PCF), network slice selection (The Network Slice Selection Function, NSSF), AMF, SMF, network open functions (Network Exposure Function, NEF), unified data management functions (The Unified Data Management, UDM), application layer functions (Application Function, AF), OAM.
In one example, a functional architecture diagram of NWDAF is shown in fig. 2, where NWDAF obtains original information of a user terminal from each network functional entity, i.e. NF, OAM, AF, and a data repository, processes the original information to obtain an analysis result, and then the analysis result generated by NWDAF is output to each network functional entity.
One embodiment of the invention relates to a management and control method of abnormal signaling, which is applied to an information decision entity. The information decision entity is a network element, embedded in the AMF, or independently deployed in the network.
The application scenarios of the embodiments of the present invention include, but are not limited to, the following application scenarios:
(1) Due to gathering, holidays or user terminals, a large number of users initiate service in a short time, and the signaling impact exceeds the processing capacity of the network;
(2) The data network names (Data Network Name, DNN) of certain types of terminals are wrong, and the PDU procedure establishment fails continuously, so that the terminals repeatedly initiate the service, namely the PDU establishment procedure service frequently happens.
The implementation flowchart of the method for managing and controlling abnormal signaling in this embodiment is shown in fig. 3, and specifically includes:
And step 304, the control strategy is sent to the AMF, so that the AMF can control the abnormal signaling sent by the user terminal according to the control strategy.
In this embodiment, after receiving the abnormal signaling forwarded by each network function entity from the user terminal, the network data analysis function is sent to a request message for obtaining the analysis data of the user terminal according to the abnormal signaling, and after receiving the analysis data, a management and control policy corresponding to the user terminal is generated, and then the management and control policy is sent to the access and mobility management function AMF, so that the AMF manages and controls the abnormal signaling sent by the user terminal according to the management and control policy. After the abnormal signaling from the user terminal forwarded by each network function entity is received, the information network decision entity acquires the analysis data of the user terminal by requesting the network analysis function, can generate the management and control strategy corresponding to the user terminal according to the analysis data of the user terminal, and can dynamically set different management and control strategies for different user terminals. And then adopting a management and control strategy corresponding to the user terminal to manage and control the abnormal signaling of the user terminal, and rejecting the signaling request of the user terminal when the abnormal signaling request of the user terminal exceeds a threshold value set for the user terminal so as to reduce signaling to be processed at a network side, solve signaling storm, avoid network congestion, ensure the safe operation of network equipment and powerfully ensure the success rate of using data services and other services by the normal user terminal.
Implementation details of the method for managing abnormal signaling in this embodiment are specifically described below, and the following is merely provided for understanding the implementation details, and is not necessary to implement this embodiment.
In step 301, after the user terminal initiates a service request to each network function entity, if each network function entity detects that the user terminal is in an abnormal state, or if the signaling sent by the user terminal is an abnormal signaling, each network function entity forwards the abnormal signaling to the information decision entity, and the information decision entity receives the abnormal signaling of the user terminal.
Wherein each network functional entity comprises one or any combination of the following: network Functions (NF) of the 5G core Network (5G Core Network,5GC), application layer functions (Application Function, AF), OAM, radio access Network, (Wireless Access Network, RAN).
For example, after the user terminal initiates a registration request, the AMF detects that the access frequency of the user terminal is abnormal; or after the user terminal initiates a service request, the AMF detects that the load of the cell where the user terminal is located is abnormal; or when the user terminal initiates a PDU session establishment request, the AMF detects that the load of a session management function (Session Management function, SMF) accessed by the user terminal is abnormal, and the AMF forwards abnormal signaling sent by the user terminal to the information decision entity.
In step 302, the information decision entity sends a request message for acquiring analysis data of the user terminal to the NWDAF according to the received abnormal signaling of the user terminal.
In a specific implementation, the request message carries the data type of the analysis data and the identification information of the user terminal, and is used for indicating the network data analysis function to acquire the original information from each network function entity, wherein the original information is used for generating the analysis data.
Wherein the data type of the analysis data includes one or any combination of the following: the method comprises the steps of moving mode of a user terminal, service experience of the user terminal, target private network load information and target cell load information.
Wherein, the original information comprises: dynamic information of the user terminal, load information of the target private network and load information of the target cell. The dynamic information of the user terminal includes one or any combination of the following: mobility information of the user terminal, service information accessed by the user terminal and service experience information of the user terminal; the load information of the target private network includes one or any combination of the following: PDU session number of user terminal, total flow information of user terminal.
Wherein the identification information of the user terminal includes one or any combination of the following: a semi-permanent identifier (Subscription Permanent Identifier, SUPI) of the user terminal, an interval group ID (Interval Group ID) of the user terminal, a target cell, a target private network.
In step 303, after receiving the analysis data of the user terminal sent by the NWDAF, the information decision entity generates a management and control policy corresponding to the user terminal according to the analysis data.
Wherein the analysis data of the user terminal comprises one or any combination of the following: the method comprises the steps of a mobile behavior analysis report of a user terminal, a business experience analysis report of the user terminal, a load analysis report of a target private network, a load analysis report of a target cell, a load analysis report of a target private network under the target cell, a service experience of the target private network under the target cell, a load relation report of the target cell, a user business experience and a load relation report of the target private network.
In a specific implementation, the mobile behavior analysis report of the user terminal is generated based on mobility information of the user terminal, namely mobile area and/or connection management information of the user terminal, and specifically includes: the method comprises the steps of accessing a user terminal to an area, residing in the access area for a time period and accessing the access area for a frequency.
The user terminal's business experience analysis report is generated based on business information accessed by the user terminal and/or business experience information of the user terminal.
The load analysis report of the target private network is generated based on the load information of the private network, and comprises one or any combination of the following components: the total access user terminal number of the target private network, PDU session number of the user terminal and total flow information of the user terminal.
The load analysis report of the target cell is generated based on load information of the target cell, namely load information of a cell where the user terminal is located, and specifically comprises the following steps: cell load, congestion information, and corresponding congestion periods.
The load analysis report of the target private network under the target cell is generated based on the load information of the target cell, and the load analysis report comprises one or any combination of the following components: the number of users of various private networks, the number of PDU session and the total flow information under the cell.
The method comprises the steps of generating a service experience of a target private network under a target cell, a load relation report of the target cell, a user service experience and a load relation report of the target private network, a mobile behavior analysis report based on a user terminal, a service experience analysis report of the user terminal, a load analysis report of the target private network and a load analysis report of the target cell.
Specifically, the information decision entity may generate a management and control policy corresponding to the user terminal according to the analysis data of the user terminal in combination with the local policy, that is, the configuration information of the information decision entity. For example, the user terminal moves to an illegal area to alarm, and the information decision entity generates a management and control strategy according to the mobile behavior analysis report: prohibiting a user from accessing a service which is possibly attacked; or the information decision entity performs data analysis on users with the number of business processes exceeding the control number in the control period according to the load analysis report of the target cell, and generates a control strategy: the registration frequency of a certain group of users is abnormal, and the AMF replies registration refusal to the user terminal, and carries a corresponding refusal reason value; or the information decision entity performs data analysis on users with the number of business processes exceeding the control number in the control period according to the load analysis report of the target private network to generate a control strategy: the user initiates a PDU establishment request, the AMF discovers that the SMF load accessed by the user is abnormal in the time period, and refuses the session establishment request or adjusts the service path to access the SMF to other SMFs according to the management and control strategy.
In one example, the traffic of the user terminal may change, requiring adjustment of a previous management policy based on the analysis data of the user terminal and the local policy.
In step 304, the information decision entity sends the generated management and control policy to the AMF, so that the AMF manages and controls the abnormal signaling sent by the user terminal according to the management and control policy.
For example, when a user terminal initiates a registration request, if the AMF detects that the access frequency of the user terminal is abnormal, the registration request of the user terminal is rejected according to a management and control policy sent by an information decision entity; or after the user terminal initiates the service request, if the AMF detects that the load of the cell where the user terminal is located is abnormal, the AMF refuses the service request initiated by the user terminal according to the management and control strategy sent by the information decision entity; or when the user terminal initiates a PDU session establishment request, if the AMF detects that the SMF load accessed by the user terminal is abnormal, the session establishment request of the user terminal is refused according to the management and control strategy sent by the information decision entity.
It should be noted that, the foregoing AMF is only illustrative of detecting that the ue is abnormal, and other network elements may also detect that the ue is abnormal.
In one example, after sending the management and control policy to the access and mobility management function AMF, for the AMF to manage and control the abnormal signaling sent by the user terminal according to the management and control policy, the information decision entity further counts the management and control policies of each user terminal, classifies the management and control policies of each user terminal to obtain management and control policies of user terminals in different categories, and then sends the management and control policies of the user terminals in different categories to the AMF, for the AMF to manage and control the abnormal signaling sent by the user terminal in different categories according to the management and control policies of the user terminal in different categories.
And classifying the management and control strategies of the user terminals according to the identification information of the user terminals. For example, according to the SUPI number segment of the user terminal, determining the category to which the user terminal belongs, and further classifying the management and control policy of the user terminal into the corresponding management and control policy category.
It should be noted that, in the embodiment of the present invention, the control of the abnormal signaling of the user terminal may be implemented by the following manner, and a specific system interaction diagram is shown in fig. 4, including:
s401, the user terminal sends abnormal signaling to the AMF.
S402, the AMF forwards the abnormal signaling to the information decision entity.
S403, the information decision entity sends a request message for acquiring analysis data of the user terminal to the NWDAF.
S404, the NWDAF obtains the original information from each network function entity.
S405, the NWDAF generates analysis data based on the original information.
S406, the NWDAF sends the analysis data to the information decision entity.
S407, the information decision entity generates a management and control strategy corresponding to the user terminal according to the analysis data.
S408, the information decision entity sends the management and control strategy to the AMF.
S409, the user terminal initiates a service request.
S410, AMF manages the service request according to the management and control strategy.
In the traditional technology, the AMF can only statically configure the threshold values for all the user terminals, the oversized protection effect is common, the user terminals are easy to be limited by mistake due to the undersize, the behaviors of different user terminals are different, different threshold values cannot be set based on the behaviors of different user terminals, and the traditional AMF can only acquire partial access and mobility management related data, cannot acquire session management data and service access data of the user terminals, so that the limitation on the user terminals is incomplete. In the embodiment of the application, the flow fine control strategies of the personal network and the object network are dynamically set by analyzing the behaviors of the user terminal on each network function, and the user terminals with different numbers and different service flows are controlled in a distinguishing mode.
The above examples in this embodiment are examples for easy understanding and are not limited to the technical solution of the present invention.
Another embodiment of the present invention relates to a method for controlling abnormal signaling, which is applied to a network data analysis function, and the implementation details of the method for controlling abnormal signaling of the present embodiment are specifically described below, and the following is only implementation details provided for easy understanding, and is not necessary for implementing the present embodiment. The implementation flowchart of the method for managing and controlling abnormal signaling in this embodiment is shown in fig. 5, and specifically includes:
Specifically, the NWDAF obtains the original information of the user terminal from each network function entity according to the data type of the analysis data, and then generates the analysis data of the user terminal based on the original information.
The original information of the user terminal may be obtained by requesting the NWDAF to obtain the original information from each network function entity, or may be actively sent for each network function entity.
In this embodiment, original information of the user terminal is obtained from each network function entity through NWDAF, and analysis data is generated, so that the information decision entity can generate a management and control policy according to the analysis data to manage and control abnormal signaling sent by the user terminal.
The above steps of the methods are divided, for clarity of description, and may be combined into one step or split into multiple steps when implemented, so long as they include the same logic relationship, and they are all within the protection scope of this patent; it is within the scope of this patent to add insignificant modifications to the algorithm or flow or introduce insignificant designs, but not to alter the core design of its algorithm and flow.
Another embodiment of the present invention relates to a device for controlling abnormal signaling, which is applied to an information decision entity. The following details of the abnormal signaling management apparatus of the present embodiment are specifically described, and the following details are provided only for facilitating understanding, but are not necessary for implementing the present embodiment, and fig. 6 is a schematic diagram of the abnormal signaling management apparatus according to the present embodiment, including: a receiving module 601, a transmitting module 602, a generating module 603 and an executing module 604.
Specifically, the receiving module 601 is configured to receive abnormal signaling forwarded by each network function entity from the user terminal.
And the sending module 602 is configured to send a request message for acquiring analysis data of the user terminal to the network data analysis function according to the abnormal signaling.
The generating module 603 is configured to generate a management policy corresponding to the user terminal after receiving the analysis data.
And the execution module 604 is configured to send the management policy to the access and mobility management function AMF, so that the AMF manages and controls the abnormal signaling sent by the user terminal according to the management policy.
In one example, the executing module 604 is further configured to, after sending the management policy to the access and mobility management function AMF, for the AMF to manage the abnormal signaling sent by the user terminals according to the management policy, count the management policy of each user terminal; classifying the management and control strategies of each user terminal to obtain management and control strategies of user terminals of different categories; and sending the control strategies of the user terminals of different categories to the AMF, so that the AMF can control the abnormal signaling sent by the user terminals of different categories according to the control strategies of the user terminals of different categories.
In one example, the execution module 604 is further configured to classify the management policies of each user terminal according to the identification information of each user terminal.
It should be noted that, in this embodiment, the apparatus embodiment corresponds to the method embodiment applied to the information decision entity, and this embodiment may be implemented in cooperation with the method embodiment. The related technical details and technical effects mentioned in the above embodiments are still valid in this embodiment, and in order to reduce repetition, they are not described here again. Accordingly, the related technical details mentioned in the present embodiment can also be applied to the above-described embodiments.
Another embodiment of the present invention relates to a device for controlling abnormal signaling, which is applied to a network data analysis function. The following details of the abnormal signaling management apparatus of the present embodiment are specifically described, and the following details are provided only for facilitating understanding, but are not essential to the implementation of the present embodiment, and fig. 7 is a schematic diagram of the abnormal signaling management apparatus according to the present embodiment, including: a receiving module 701, a generating module 702 and a transmitting module 703.
Specifically, the receiving module 701 is configured to receive a request message sent by an information decision entity to obtain analysis data of a user terminal.
And the generating module 702 is used for generating analysis data of the user terminal.
In one example, the generating module 702 is further configured to obtain the original information from each network functional entity according to the data type of the analysis data; based on the raw information, analysis data is generated.
The sending module 703 is configured to send the analysis data to an information decision entity, where the information decision entity generates a management and control policy corresponding to the user terminal and sent to the AMF, where the management and control policy is used for the AMF to manage and control an abnormal signaling sent by the user terminal.
It is to be noted that this embodiment is an embodiment of the apparatus corresponding to the above embodiment of the method applied to the network data analysis function, and this embodiment may be implemented in cooperation with the above embodiment of the method. The related technical details and technical effects mentioned in the above embodiments are still valid in this embodiment, and in order to reduce repetition, they are not described here again. Accordingly, the related technical details mentioned in the present embodiment can also be applied to the above-described embodiments.
It should be noted that each of the modules in the third embodiment and the fourth embodiment is a logic module, and in practical application, one logic unit may be one physical unit, or may be a part of one physical unit, or may be implemented by a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, units less closely related to solving the technical problem presented by the present invention are not introduced in the present embodiment, but it does not indicate that other units are not present in the present embodiment.
Another embodiment of the present invention relates to an electronic device, as shown in fig. 8, comprising: at least one processor 801; and a memory 802 communicatively coupled to the at least one processor 801; the memory 802 stores instructions executable by the at least one processor 801, where the instructions are executed by the at least one processor 801 to enable the at least one processor 801 to perform the method for managing exception signaling in the embodiments described above.
Where the memory and the processor are connected by a bus, the bus may comprise any number of interconnected buses and bridges, the buses connecting the various circuits of the one or more processors and the memory together. The bus may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or may be a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor is transmitted over the wireless medium via the antenna, which further receives the data and transmits the data to the processor.
The processor is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory may be used to store data used by the processor in performing operations.
Another embodiment of the invention relates to a computer-readable storage medium storing a computer program. The computer program implements the above-described method embodiments when executed by a processor.
That is, it will be understood by those skilled in the art that all or part of the steps in implementing the methods of the embodiments described above may be implemented by a program stored in a storage medium, where the program includes several instructions for causing a device (which may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps in the methods of the embodiments described herein. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples of carrying out the invention and that various changes in form and details may be made therein without departing from the spirit and scope of the invention.
Claims (11)
1. The abnormal signaling control method is characterized by being applied to an information decision entity and comprising the following steps:
receiving abnormal signaling from user terminal forwarded by each network function entity;
according to the abnormal signaling, a request message for acquiring analysis data of the user terminal is sent to a network data analysis function;
after the analysis data is received, generating a management and control strategy corresponding to the user terminal;
and sending the management and control strategy to an access and mobility management function (AMF) for the AMF to manage and control the abnormal signaling sent by the user terminal according to the management and control strategy.
2. The abnormal signaling control method according to claim 1, wherein the request message carries a data type of the analysis data and identification information of the user terminal, and is used for instructing the network data analysis function to obtain original information from the network function entities, where the original information is used for generating the analysis data.
3. The method of controlling abnormal signaling according to claim 2, wherein the data type of the analysis data comprises one or any combination of the following: the method comprises the steps of moving modes of a user terminal, business experience of the user terminal, target private network load information and target cell load information;
the analysis data includes one or any combination of the following: the method comprises the steps of a mobile behavior analysis report of a user terminal, a business experience analysis report of the user terminal, a load analysis report of a target private network, a load analysis report of a target cell, a load analysis report of a target private network under the target cell, a service experience of the target private network under the target cell, a load relation report of the target cell, a user business experience and a load relation report of the target private network.
4. The method for controlling abnormal signaling according to claim 1, further comprising, after said sending the control policy to an access and mobility management function AMF, for the AMF to control abnormal signaling sent by the user terminal according to the control policy:
counting management and control strategies of all user terminals;
classifying the control strategies of the user terminals to obtain the control strategies of the user terminals with different categories;
and sending the control strategies of the user terminals of different categories to the AMF, so that the AMF can control the abnormal signaling sent by the user terminals of different categories according to the control strategies of the user terminals of different categories.
5. The method for controlling abnormal signaling according to claim 4, wherein classifying the control policy of each ue comprises:
and classifying the management and control strategies of the user terminals according to the identification information of the user terminals.
6. The abnormal signaling control method is characterized by being applied to a network data analysis function and comprising the following steps of:
receiving a request message sent by an information decision entity and used for acquiring analysis data of a user terminal;
generating analysis data of the user terminal;
and sending the analysis data to the information decision entity, wherein the information decision entity generates a management and control strategy which is sent to the AMF and corresponds to the user terminal, and the management and control strategy is used for controlling the abnormal signaling sent by the user terminal by the AMF.
7. The method for controlling abnormal signaling according to claim 6, wherein the request message carries a data type of the analysis data;
the generating the analysis data includes:
acquiring original information from each network function entity according to the data type of the analysis data;
and generating the analysis data based on the original information.
8. A device for managing and controlling abnormal signaling, which is applied to an information decision entity, and comprises:
the receiving module is used for receiving the abnormal signaling from the user terminal forwarded by each network functional entity;
the sending module is used for sending a request message for acquiring analysis data of the user terminal to a network data analysis function according to the abnormal signaling;
the generation module is used for generating a management and control strategy corresponding to the user terminal after receiving the analysis data;
and the execution module is used for sending the management and control strategy to an access and mobility management function (AMF) so that the AMF can manage and control the abnormal signaling sent by the user terminal according to the management and control strategy.
9. A device for managing and controlling abnormal signaling, which is applied to a network data analysis function, and comprises:
the receiving module is used for receiving a request message which is sent by the information decision entity and used for acquiring analysis data of the user terminal; the request message carries the data type of the analysis data;
the generation module is used for generating analysis data of the user terminal;
and the sending module is used for sending the analysis data to the information decision entity, so that the information decision entity can generate a management and control strategy corresponding to the user terminal and sent to the AMF, and the management and control strategy is used for controlling the abnormal signaling sent by the user terminal by the AMF.
10. An electronic device, comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of managing exception signaling according to any one of claims 1 to 5 or to perform the method of managing exception signaling according to any one of claims 6 to 7.
11. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the method of controlling abnormal signaling according to any one of claims 1 to 5, or implements the method of controlling abnormal signaling according to any one of claims 6 to 7.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111449979.7A CN116208306A (en) | 2021-11-30 | 2021-11-30 | Abnormal signaling management and control method and device, electronic equipment and storage medium |
| PCT/CN2022/127141 WO2023098341A1 (en) | 2021-11-30 | 2022-10-24 | Abnormal signaling management and control method and apparatus, electronic device, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111449979.7A CN116208306A (en) | 2021-11-30 | 2021-11-30 | Abnormal signaling management and control method and device, electronic equipment and storage medium |
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| CN116208306A true CN116208306A (en) | 2023-06-02 |
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| CN202111449979.7A Pending CN116208306A (en) | 2021-11-30 | 2021-11-30 | Abnormal signaling management and control method and device, electronic equipment and storage medium |
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| WO (1) | WO2023098341A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US10986516B2 (en) * | 2017-03-10 | 2021-04-20 | Huawei Technologies Co., Ltd. | System and method of network policy optimization |
| CN110300006B (en) * | 2018-03-21 | 2022-10-21 | 中国移动通信有限公司研究院 | Data processing method and device, functional entity and storage medium |
| CN110602735B (en) * | 2018-06-13 | 2021-06-29 | 华为技术有限公司 | Method for providing limited service and communication equipment |
| CN111770490B (en) * | 2019-04-02 | 2022-08-05 | 大唐移动通信设备有限公司 | Method and equipment for determining terminal behavior analysis |
| CN113206814B (en) * | 2020-01-31 | 2022-11-18 | 华为技术有限公司 | Network event processing method and device and readable storage medium |
| CN113114692A (en) * | 2021-04-16 | 2021-07-13 | 恒安嘉新（北京）科技股份公司 | 5G independent networking mobile network honeypot system |
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