CN110300006B - Data processing method and device, functional entity and storage medium - Google Patents

Data processing method and device, functional entity and storage medium Download PDF

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CN110300006B
CN110300006B CN201810235516.2A CN201810235516A CN110300006B CN 110300006 B CN110300006 B CN 110300006B CN 201810235516 A CN201810235516 A CN 201810235516A CN 110300006 B CN110300006 B CN 110300006B
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information
application layer
service
nwdaf
analysis result
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CN110300006A (en
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李爱华
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China Mobile Communications Group Co Ltd
China Mobile Communications Ltd Research Institute
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China Mobile Communications Group Co Ltd
China Mobile Communications Ltd Research Institute
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0893—Assignment of logical groups to network elements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design

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Abstract

The embodiment of the invention provides a data processing method and device, a functional entity and a storage medium. In the data processing method, on one hand, the NWDAF can interact application layer information or application layer service optimization information with the AF directly or through the NEF; on the other hand, the NWDAF may issue the analysis result to the SMF, AMF, UDM, UDR, or PCF through the PCF or directly.

Description

Data processing method and device, functional entity and storage medium
Technical Field
The present invention relates to the field of network technologies, and in particular, to a data processing method and apparatus, a functional entity, and a storage medium.
Background
A Network Data analysis Function (NWDAF) is a functional entity proposed in the fifth Generation mobile communication technology (5 th-Generation, 5G) system, and can be used for analyzing Network Data. However, at present, NWDAF is mainly used for network data analysis of network slices, and only can provide analysis results for network slice optimization, and the NWDAF has a single function and low analysis capability and low effective utilization rate of resources.
Disclosure of Invention
In view of the above, embodiments of the present invention are to provide a data processing method and apparatus, a functional entity, and a storage medium, which at least partially solve the problem of single function or low analysis capability of NWDAF and low efficiency of effective use of resources.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a method of data processing, comprising:
the NWDAF receives Application layer information from an Application Function (AF) through a Network Exposure Function (NEF).
A method of data processing, comprising:
and the NWDAF issues the application layer service optimization information to the AF through the NEF.
A method of data processing, comprising:
the NWDAF receives the application layer information directly from the application function AF.
A method of data processing, comprising:
and the NWDAF directly issues application layer service optimization information to the AF.
A method of data processing, comprising:
receiving application layer service optimization information provided by the NWDAF through the NEF;
and executing the application layer service optimization operation according to the application layer service optimization information.
A method of data processing, comprising:
application layer service optimization information provided directly from the NWDAF;
and executing the application layer service optimization operation according to the application layer service optimization information.
A method of data processing, comprising:
the NWDAF issues an analysis result to at least one of a Session Management Function (SMF), an Access and Mobility Management Function (AMF), a Unified Data Management Function (UDM), and a Unified Data Repository (UDR) through a Policy Control Function (PCF).
A method of data processing, comprising:
the NWDAF directly sends the analysis result to at least one of the SMF, the access and AMF, the unified data management function UDM, the unified data repository UDR and the policy control function PCF.
A method of data processing, comprising:
and receiving an analysis result sent by a network data analysis function NWDAF through a policy control function PCF.
A method of data processing, comprising:
the analysis result is received directly from the network data analysis function NWDAF.
A data processing apparatus comprising:
and the collection module is used for receiving the application layer information from the application function AF or directly from the AF by the network data analysis function NWDAF through the network open function NEF.
A data processing apparatus comprising:
the receiving module is used for receiving application layer service optimization information provided by a network data analysis function (NWDAF) through a network open function (NEF) or directly;
and the execution module is used for executing the application layer service optimization operation according to the application layer service optimization information.
A functional entity, comprising:
a transceiver for transceiving information;
a memory for storing information;
and the processor is respectively connected with the transceiver and the memory and is used for realizing the data processing method provided by any technical scheme through the execution of the computer executable program.
A computer storage medium, wherein the computer storage medium stores a computer executable program; after being executed, the computer-executable program can implement the data processing method provided by any technical scheme of any aspect of the first to the fourth aspects.
According to the technical scheme provided by the embodiment of the invention, the NWDAF is not limited to acquiring the data of the network slice for analysis, but can collect various information such as application layer information and the like for analysis, and the analyzed information has wider sources, so that the data analysis can assist other network elements such as AF and the like to optimize application layer services; alternatively, the analysis result of the UE granularity or the service granularity may be obtained through analysis of other network data, for example, the analysis result of the UE granularity may control the behavior of the UE or transmission of network data of the UE, for example, information transmission of a control plane and/or a user plane of the UE, and the like. In short, in the embodiment of the invention, the function of the NWDAF is not single any more, and the resources such as the analysis capability, the calculation resources, the storage resources and the like of the NWDAF are fully utilized, so that the analysis capability of the NWDAF and the effective utilization rate of the resources are improved.
Drawings
Fig. 1 to fig. 3A and fig. 3B to fig. 6 are schematic flowcharts of a data processing method according to an embodiment of the invention;
FIG. 7 is a flowchart illustrating a data processing method according to an embodiment of the present invention;
FIG. 8 is a schematic diagram of two paths for interaction of NWDAF and AF information according to an embodiment of the present invention;
FIG. 9 is a flowchart illustrating a data processing method according to an embodiment of the present invention;
FIG. 10A is a flowchart illustrating a data processing method according to an embodiment of the present invention;
FIG. 10B is a flowchart illustrating a data processing method according to an embodiment of the present invention;
FIG. 11 is a flowchart illustrating a data processing method according to an embodiment of the present invention;
FIG. 12 is a flowchart illustrating a data processing method according to an embodiment of the present invention;
fig. 13A is a schematic flowchart of a data processing method according to an embodiment of the present invention;
FIG. 13B is a schematic diagram of two paths for information interaction between the NWDAF and the SMF, AMF, or UDR/UDM;
FIG. 14 is a flowchart illustrating a data processing method according to an embodiment of the present invention;
fig. 15 is a schematic structural diagram of an information processing apparatus according to an embodiment of the present invention;
FIG. 16 is a schematic diagram of another information processing apparatus according to an embodiment of the present invention;
fig. 17 is a schematic structural diagram of a functional entity according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention is further described in detail with reference to the drawings and the specific embodiments of the specification.
As shown in fig. 1, the present embodiment provides a data processing method, including:
the NWDAF receives application layer information from the AF through the NEF.
The NWDAF may interact with the AF through the NEF in this embodiment with various information, for example, the application layer information.
Optionally, the method further comprises: and analyzing the application layer information by the NWDAF to obtain an analysis result.
Optionally, the application layer information includes at least one of: a Transmission Control Protocol (TCP) window parameter; communication mode information; background traffic policy information; a service type; a terminal identification; service experience information; a service start time; service end time; the length of the cache; and a voice coding and decoding mode.
As shown in fig. 2, the present example provides a data processing method including:
and the NWDAF issues the application layer service optimization information to the AF through the NEF.
In this embodiment, the NWDAF may also issue application layer service optimization information to the AF through the NEF, for example, the NWDAF obtains an analysis result according to analysis on the application layer information; and issuing the application layer service information based on the analysis result.
Optionally, the application layer service optimization information includes at least one of: a proposed transmission control protocol, TCP, window parameter; suggested communication mode information; suggested background traffic policy information; a proposed service type; a proposed terminal identification; suggested business experience information; a proposed service start time; a proposed service end time; a suggested cache length; a proposed speech codec mode.
As shown in fig. 3A, the present embodiment provides a data processing method, including:
the NWDAF receives the application layer information directly from the AF.
In this embodiment, if the NWDAF and the AF are located in the same domain or a direct channel is established, the NWDAF may also directly receive application layer information from the AF in order to accelerate transmission.
Optionally, the method further comprises: and analyzing the application layer information to obtain an analysis result.
Optionally, the application layer information includes at least one of: a Transmission Control Protocol (TCP) window parameter; communication mode information; background traffic policy information; a service type; a terminal identification; service experience information; a service start time; service end time; the length of the cache; and a voice coding and decoding mode.
As shown in fig. 3B, the present embodiment provides a data processing method, including:
and the NWDAF directly issues the application layer service optimization information to the AF. The NWDAF in this embodiment directly issues the application layer service optimization information to the AF, and the application layer service optimization information issued in the foregoing embodiment may be the same information.
Optionally, the application layer service optimization information includes at least one of: a proposed transmission control protocol, TCP, window parameter; suggested communication mode information; suggested background traffic policy information; a proposed service type; a proposed terminal identification; suggested business experience information; a proposed service start time; a proposed service end time; a suggested cache length; a proposed speech codec mode.
As shown in fig. 4, the present embodiment provides a data processing method, including:
receiving application layer service optimization information provided by the NWDAF through the NEF;
and executing the application layer service optimization operation according to the application layer service optimization information.
In this embodiment, the NEF may further forward the application layer service information provided by the NWDAF to the corresponding AF, so that the AF may receive the corresponding application layer service optimization information, and perform optimization operations according to the application layer service optimization information, for example, adjusting the length of a TCP window, adjusting the cache length of service data, adjusting a speech coding/decoding mode, and the like.
Optionally, the method further comprises: and sending application layer information to the NWDAF through the NEF. Here, the AF may send application layer information using the NEF, where the application layer information may be an information source for the NWDAF to generate the application layer service optimization information, and in a specific implementation, the NWDAF may further obtain information from other network elements for data analysis, for example, obtain information from the AMF or the SMF for analysis, generate the application layer service optimization information according to an analysis result obtained by the analysis, and send the application layer service optimization information to the AF through the NEF.
As shown in fig. 5, the present embodiment provides a data processing method, including:
directly receiving application layer service optimization information provided by the NWDAF;
and executing the application layer service optimization operation according to the application layer service optimization information.
In this embodiment, the AF will directly provide application layer service optimization information from the NWDAF, and after the application layer optimization information is received, the AF will perform corresponding application layer service optimization operation, and specific optimization information may refer to the foregoing embodiments.
The method further comprises the following steps: sending application layer information directly to the NWDAF.
In this embodiment, the NWDAF may also send its own application layer information to the NWDAF for the NWDAF to analyze, thereby forming the application layer service optimization information.
As shown in fig. 6, the present embodiment provides a data processing method, including:
and the NWDAF issues the analysis result to at least one of the SMF, the AMF, the UDM and the UDR through the PCF.
In this embodiment, the NWDAF may send an analysis result to the SMF, AMF, UDM, UDR, or the like, using the PCF as an intermediate node for information forwarding, where the analysis result may be an analysis result of various information collected by the NWDAF, for example, an analysis result of UE granularity, or the like. Optionally, the analysis result includes: the analysis result of the UE granularity may also be an analysis result of a network slice granularity, an analysis result of a service granularity, or the like.
Optionally, the analysis result issued by the NWDAF to the AMF includes: at least one of mobility management information, a tracking area list and a handover indication of the UE; and/or the analysis result issued by the NWDAF to the SMF includes: at least one of the UE user plane strategy rule execution information, qoS parameters and flow routing strategy; and/or the analysis result issued by the NWDAF to the UDM or UDR includes: subscription information of the UE.
Optionally, the mobility management information of the UE includes at least one of: mobility limiting parameters, registration area allocation parameters, paging processing parameters, mobility mode parameters, radio resource management parameters and the duration of a periodic registration timer; the QoS parameters include at least one of: user plane Qos processing parameters, uplink/downlink rate execution parameters, and downlink reflection QoS marking; the UE user plane policy rule execution information includes at least one of: user plane traffic gating information, user plane traffic redirection information and user plane traffic guidance information; subscription information of the UE: including at least one of: a service session continuity mode supported by the UE, a default service session continuity mode, signed slice selection assistance information, and a periodic registration timer duration.
The present embodiment provides a data processing method, including:
the network data analysis function NWDAF directly issues an analysis result to at least one of the session management function SMF, the access and mobility management function AMF, the unified data management function UDM, the unified data repository UDR and the policy control function PCF.
In this embodiment, only the NWDAF may directly issue the analysis result to the SMF, AMF, UDM, UDR, or PCF, and the analysis result may be received by these network elements or entities and then may perform various operations.
Optionally, the analysis result comprises: and analyzing the granularity of the User Equipment (UE).
Optionally, the analysis result delivered by the NWDAF to the AMF includes at least one of mobility management information, a tracking area list, and a handover indication of the UE; and/or the analysis result issued by the NWDAF to the SMF includes: at least one of the UE user plane policy rule execution information, qoS parameters and traffic routing policy; and/or the analysis result issued by the NWDAF to the UDM or UDR includes: subscription information of the UE; and/or the analysis result is used for the PCF to generate a strategy or update the strategy. For example, after receiving the analysis result, the PCF may generate an entirely new policy, e.g., a traffic charging policy of the UE; or after receiving the analysis result, the PCF may perform policy adjustment on an old policy, thereby implementing updating of the old policy. The policy may be various policies stored in the PCF or issued by the PCF.
Optionally, the mobility management information of the UE includes at least one of: mobility limiting parameters, registration area allocation parameters, paging processing parameters, mobility mode parameters, radio resource management parameters and the duration of a periodic registration timer; the QoS parameters include at least one of: a user plane Qos processing parameter, an uplink/downlink speed execution parameter and a downlink reflection QoS mark; the UE user plane policy rule execution information includes at least one of: user plane traffic gating information, user plane traffic redirection information and user plane traffic guidance information; subscription information of the UE: including at least one of: a service session continuity mode supported by the UE, a default service session continuity mode, signed slice selection assistance information, and a periodic registration timer duration.
The present embodiment provides a data processing method, including:
and receiving an analysis result sent by a network data analysis function NWDAF through a policy control function PCF.
The data processing method of the embodiment may be applied to SMF, AMF, UDR, or UDM, and may receive an analysis result delivered by NWDAF through PCF.
Optionally, the method further comprises: and sending the analysis result to a core network function NF, UE or a radio access network RAN.
The present embodiment further provides a data processing method, including: the analysis result is received directly from the network data analysis function NWDAF. The data processing method of the embodiment can be applied to SMF, AMF, UDR or UDM, and analysis results can be directly received from the NWDAF.
Optionally, the method further comprises: and sending the analysis result to a core network function NF, UE or a radio access network RAN.
The present embodiment provides a data processing apparatus, including: and the collection module is used for receiving the application layer information from the application function AF or directly from the AF by the network data analysis function NWDAF through the network open function NEF. The collection module may be a program module capable of collecting analyzed data elements from various network elements, e.g. from AFs via NEFs or directly from AFs for collecting application layer information.
In some embodiments, the apparatus may further comprise: the analysis module analyzes the application layer information to obtain application layer service optimization information, and the specific contents of the application layer information and the application layer optimization information can be referred to in the foregoing embodiments.
The present embodiment also provides a data processing apparatus, including:
the receiving module is used for receiving application layer service optimization information provided by a network data analysis function (NWDAF) through a network open function (NEF) or directly;
and the execution module is used for executing the application layer service optimization operation according to the application layer service optimization information.
The collection module and the execution module can also be program modules, and after being executed by the processor, the collection module and the execution module can receive the application layer service optimization information through the NEF and execute corresponding optimization operation.
The present embodiment provides a data processing apparatus, including:
and the issuing module is used for issuing the analysis result by the network data analysis function NWDAF through the policy control function PCF or the direct analysis result.
The present embodiment provides a data processing apparatus, including:
and the receiving module is used for receiving the analysis result issued by the analysis result of the network data analysis function NWDAF through the policy control function PCF or directly.
The embodiment also provides a data processing device which is applied to SMF, AMF, UDR or UDM. The receiving module receives the analysis result, which may be the analysis result described above, through the PCF or directly from the NWDAF.
As shown in fig. 7, the present embodiment provides a data processing method applied to NWDAF, including:
step S110: collecting application layer information;
step S120: and analyzing the application layer information to obtain an analysis result.
In step S110, the NWDAF may collect application layer information, which may include: and at least one of transmission state information and transmission parameters of the service data of the application layer. The transmission condition information can be detected through the transmission condition and recorded information of the transmission condition. According to the transmission status information, the information representing the current actual transmission status, such as the transmission load amount, the actual transmission rate, the transmission delay and the like of the service data of the application layer, can be known, so that the transmission status of the service data of the application layer can be determined, for example, whether congestion occurs in the current transmission or not can be determined. The transmission parameters may include: controlling various parameters of the service data transmission of the application layer; the method specifically comprises the following steps: network transmission rate parameters, TCP window parameters, etc. The TCP window may include: a transmit window for transmitting data and/or a receive window for receiving data. The window parameters may include: but the duration of one TCP window; by adjusting the duration of the TCP window, the congestion status can be adjusted.
In step S110, the NWDAF may acquire Application layer information provided by an Application Function (Application Function), or may acquire the Application layer information from a network element of a core network or a radio access network, or even from the UE.
After the application layer information is obtained, the application layer service data is analyzed by adopting a data analysis logic to obtain an analysis result, for example, the actual transmission rate of the application layer service is determined by the application layer information receiving and sending rate, and whether the network is congested or not is determined by combining the expected transmission rate.
In this embodiment, the NWDAF is no longer able to acquire network data of the network slice, and may also collect application layer information, thereby increasing a data source for the NWDAF to perform network data analysis, enriching the NWDAF function, and improving the effective utilization rate of NWDAF resources and analysis capability.
Optionally, the step S110 may include:
the NWDAF receives the application layer information from an Application Function (AF) through a network open function (NEF); or, the NWDAF receives the application layer information directly from the AF.
For example, as shown in fig. 8, if the AF provides an entity for an application server or a service, such as a third party application, located outside a trust domain, and the NWDAF is a network element in the trust domain, the NWDAF receives application layer information from the AF through an NEF that connects the trust domain and an untrusted domain; in this way, the security of information interaction between the NWDAF and the AF may be ensured by filtering of the intermediate NEF. As another example, the AF may be an application server provided by a network operator, etc., and may be located in a trusted domain as the NWDAF, the NWDAF may receive the application layer information from the AF. And if a direct connection channel is established between the NWDAFs, the NWDAF can perform information interaction with the AF through the direct connection channel.
Fig. 8 shows a path 1 and a path 2 for performing information interaction between the NWDAF and the AF, and if the path 1 is used for performing information interaction between the NWDAF and the AF, forwarding needs to be performed through the NEF; if the path 2 is used for information interaction between the NWDAF and the AF, forwarding through the NEF is not required, and the NWDAF and the AF can be directly communicated with each other.
Optionally, as shown in fig. 9, the method further includes: step S130: and providing application layer service optimization information according to the analysis result.
If the analysis result indicates that the current application layer service is not the optimal transmission, that is, needs to be optimized or can be further optimized to realize the optimized transmission of the service data of the application layer, the NWDAF also provides the application layer service optimization information based on the analysis result, and the application layer service optimization information can be used for optimizing the application layer service, thereby providing better application layer service. In the specific implementation process, it may be determined whether the optimal transmission condition is reached by predetermining the optimal transmission condition of the application layer service and analyzing the analysis of the actually collected application layer information, for example, the optimal transmission condition defines various parameters such as a maximum transmission rate, a minimum transmission delay, a maximum load rate, and the like.
The application layer service optimization information may include: optimizing parameters of the application layer service, e.g. optimizing adjusted target parameters, or optimizing adjusted adjustment parameters. Taking the time length of the TCP window as an example, the target parameter may be the adjusted target time length of the TCP window; the adjustment parameter may be an adjustment amount required for adjusting the current time length of the TCP window to the target time length. In some embodiments, the application layer optimization information department comprises: and optimizing indication, wherein the optimizing indication triggers application layer service optimization, but specifically how to optimize, the AF and the like can be optimized according to a preset optimizing strategy.
In some embodiments, the application layer traffic optimization information may further include: the analysis result of the aforementioned application layer information; after receiving the analysis result, the AF may perform the optimization operation of the application layer service according to the analysis result.
Optionally, the step S130 may include: according to the analysis result, sending the application layer service optimization information to the AF through the NEF; or, according to the analysis result, directly sending the application layer service optimization information to the AF.
Optionally, the step S110 may include: the NWDAF acquires a current Transmission Control Protocol (TCP) window parameter of an application layer service; the step S130 may include: providing a suggested TCP window parameter based on the analysis result.
The application layer service optimization information in this embodiment may be optimization information of application granularity, for example, the optimization may be performed for different applications of an application layer, and the application layer information and/or the application layer optimization information may carry an application identifier (for example, an application ID) of a corresponding application or a service ID of service data generated by the application. Under the condition that network resources are limited, the NWDAF may respectively provide application layer service optimization information of the NWDAF through analysis of application service information of different applications, for example, the NWDAF may obtain that the transmission amount of service data of the application a is large and the transmission amount of service data of the application B is small in the current period through analysis of the application service information of the application a and the application service information of the application B, and may adjust application layer transmission parameters of the application a and the application B when issuing the application layer service optimization information, so that more resources are available for transmission of the service data of the application a in a physical layer, resources allocated to transmission of the service data of the application B are reduced, and thus optimal utilization of network resources and optimal transmission of application layer services are achieved.
As shown in fig. 10A or fig. 10B, the present embodiment provides a data processing method including:
step S210: receiving application layer service optimization information provided by the NWDAF;
step S220: and executing the application layer service optimization operation according to the application layer service optimization information.
The data processing method provided by this embodiment may be a method applied to an AF, and may be based on NWDAF application layer service optimization information, where the application layer service optimization information may be used to trigger the AF to perform application layer service optimization operation, so as to implement application layer service optimization.
The AF may be a functional entity that provides various application layer services, for example, various services having specific application scenarios, such as a social service providing a social application, a shopping service providing a shopping application, a search service providing a search service, a map service providing a map service, and a navigation service providing a navigation service.
Optionally, as shown in fig. 11, the method further includes:
step S200: sending application layer information to the NWDAF; for example, it may include: sending application layer information to the NWDAF through NEF; or directly sending application layer information to the NWDAF. If the NEF and the NWDAF are located in the same domain, for example, both the NWDAF and the AF are located in a trusted domain, the AF may directly send the application layer information to the NWDAF through an intra-domain transmission channel without passing through the NEF. If the NWDAF and the AF are located in different domains, e.g., the NWDAF is located in a trusted domain and the AF is located in an untrusted domain, the AF needs to send the application layer information to the NWDAF located in the trusted domain through the NEF.
In the embodiment of the invention, the trust domain and the non-trust domain refer to two domains, and the security level of the trust domain is higher than that of the non-trust domain; the security level of the corresponding domain can be improved through various filtering means such as a firewall and the like, an authentication means and the like. Optionally, the application layer information is used for the NWDAF to generate the application layer service optimization information. Thus, step S200 is typically located before S210.
In some embodiments, the AF may report the application layer information to the NWDAF periodically, or report the application layer information to the NWDAF based on a trigger event, for example, it is detected that a transmission delay of a current service data packet is greater than a preset value, for example, a load rate of the AF is higher than a load threshold, the trigger event may be considered to occur, and if the trigger event occurs, the application layer information is automatically reported to the NWDAF.
In other embodiments, the AF may further receive a data reading request sent by the NWDAF, and report the application layer information to the NWDAF based on the data reading request in step S200, where the application layer information may be one or more of the transmission status information and the transmission parameters of the application layer service. For example, in step S200, the AF reports window parameters of the current TCP window to the NWDAF, where the window parameters may include a duration of the TCP window, a data amount that can be sent in a single TCP window, and the like.
As shown in fig. 12, the present embodiment provides a data processing method, including:
step S300: and issuing the analysis result of the UE granularity by the NWDAF.
In this embodiment, the NWDAF does not limit processing of network data related to network slices, but also processes other network data, so that an analysis result based on UE granularity can be generated. For example, the NWDAF issues an analysis result of the UE granularity to any target functional entity. In this embodiment, the analysis result of the UE granularity may be an analysis result for a single UE. Optionally, the analysis result of the UE granularity may carry identification information of the corresponding UE, for example, an International Mobile Subscriber Identity (IMSI) of the UE, a Temporary Mobile Subscriber Identity (TMSI) of the UE, or a unique session Identity (Identity, ID) of the UE. The analysis result of the UE granularity can be used to control the communication service of a single UE, the use of a network service, management of mobility, and the like. For example, the analysis result of the UE granularity may be used to adjust a routing policy of traffic data of the UE granularity, adjust a traffic charging policy of the UE granularity, and control inter-cell handover of the UE granularity. For another example, the analysis result of the UE granularity may be used to perform transmission adjustment of signaling in a control plane of the UE granularity and transmission adjustment of service data in a user plane.
Optionally, the step S300 may specifically include: the NWDAF issues an analysis result of the UE granularity to at least one of SMF, AMF, UDM and UDR through PCF; or, the NWDAF directly issues the analysis result of the UE granularity to at least one of the SMF, the AMF, the UDM, and the UDR.
In this embodiment, the target functional entity that receives the analysis result of the UE granularity issued by the NWDAF may be one or more of an SMF, an AMF, a UDM, and a UDR, and may further include: various network elements such as User Plane Function (UPF) are not limited to the above network elements.
In this embodiment, the NWDAF may issue the analysis result of the UE granularity through the PCF, or may issue the analysis result directly through a transmission channel between itself and the target functional entity. If the PCF sends the analysis result of the UE granularity to the target functional entity in a unified way, an interface between the NWDAF and the target functional entity is not needed to be arranged, the simplicity of the network structure can be maintained, and the PCF can also regulate and control the sending of the analysis result of the UE granularity in a unified way.
Optionally, the analysis result of the UE granularity delivered by the NWDAF to the AMF includes at least one of mobility management information, a tracking area list, and a handover indication of the UE.
The mobility management information may include one or more of the following parameters: mobility restriction parameters, mobility mode parameters, and Radio Resource Management functions (Radio Resource Management functions) parameters.
The movement limiting parameter may include: a (Mobility management) Radio Access Technology (RAT) Restriction parameter, a zone Restriction parameter, a service area Restriction parameter, and a core network type Restriction parameter, where the Mobility Restriction parameter defines various parameters that define the Mobility of the UE, such as an RTA Technology that the UE can use or a RAT that the UE is forbidden to use, a zone where Access is allowed or forbidden, a service that the UE is allowed or forbidden to use, and a core network type that the UE is allowed or forbidden to use.
The mobility mode parameter may be used to indicate a mobility mode used by the UE.
The Radio Resource Management function (Radio Resource Management functions) parameter may be used for Management of Radio resources, specifically, allocation and contention of Radio resources.
The tracking area list may include: if the UE executes the tracking area update in the tracking area list, the tracking area list does not need to be reported to the network side, so that the information interaction between the UE and the network side can be reduced, the signaling overhead is reduced, and the tracking area update of the UE can be better realized by the network side through the update of the tracking area list.
The handover indication is used to indicate that the UE is allowed or prohibited to perform communication across systems, for example, the current communication system is divided according to the used communication system, and the switching indication may include: frequency division multiple access systems, time division multiple access systems, code division multiple access systems, or the like. Some UEs may support communication systems of multiple systems simultaneously, and in this embodiment, a handover indication may be utilized, which may be used to indicate whether to allow or prohibit cross-system communication of the UE. The handover indication may also indicate a handover mode of the UE, e.g., indicate whether the UE performs a hard handover or a soft handover; alternatively, the handover indication may also be used to indicate whether the UE allows handover across areas, for example, handover across Land Mobile Public Network (PLMN) and the like.
Optionally, the analysis result of the UE granularity delivered by the NWDAF to the SMF includes: at least one of a user plane parameter, a QoS parameter, and a traffic routing policy of the UE.
The user plane parameters of the UE may include: various parameters of the user plane part of the policy rules enforcement, e.g. various parameters of control, routing, redirection or traffic steering of data of the user plane.
The Qos parameter may include: various parameters of the user plane Qos processing, such as Uplink rate enforcement (Uplink rate enforcement) parameter, downlink rate enforcement parameter, and Reflective Qos marking in DL of downlink.
Optionally, the analysis result of the UE granularity delivered by the NWDAF to the UDM or UDR includes: at least one of subscription information and tracking area parameters of the UE.
In this embodiment, the analysis result of the UE granularity delivered by the NWDAF may include: the analysis result of the UE granularity determined according to the analysis result of the application layer information in the foregoing embodiment.
Subscription information of the UE: the subscription information of the UE may be used to indicate a service session continuity Mode (SSC Mode) supported by the UE, a default service session continuity Mode, subscribed network slice selection assistance information, and the like.
As shown in fig. 13A, the present embodiment provides a data processing method including:
step S400: and receiving an analysis result of the UE granularity transmitted by the NWDAF.
The data processing method provided in this embodiment may be applied to a target functional entity that issues the analysis result of the UE granularity by the NWDAF, for example, the foregoing various network elements such as the SMF, the AMF, the UDM, or the UDR.
Optionally, the step S400 may include: receiving an analysis result of the UE granularity through the PCF; receiving an analysis result of the UE granularity directly from the NWDAF. For example, if the target functional entity and the NWDAF are in the same domain, the analysis result of the UE granularity may be directly received from the NWDAF, and if the target functional entity and the NWDAF are in different domains, the analysis result of the UE granularity may be received through PCF relay.
Optionally, as shown in fig. 14, the method further includes:
step S410: and sending the analysis result of the UE granularity to a core network function NF, the UE or a radio access network RAN.
In this example, after the target function entity receives the parameter information, the analysis result of the UE granularity is further sent to NF or UE or RAN, and the NF, UE and RAN perform corresponding control according to the analysis result of the UE granularity, thereby regulating and controlling the behavior and data transmission of the UE.
As shown in fig. 15, a data processing apparatus includes:
a collecting module 110, configured to collect application layer information by using a network data analysis function NWDAF;
and the analysis module 120 is configured to analyze the application layer information to obtain an analysis result.
The data analysis device can be applied to the NWDAF, the collection module 110 and the analysis module 120 can be program modules, and the program modules can realize the collection of application layer information and the acquisition of analysis results through the execution of a processor, so that the analysis capability and resources of the NWDAF can be better used, and the function of the NWDAF is enriched.
Optionally, the collecting module 110 is configured to receive the application layer information from an application function AF through a network open function NEF by the NWDAF; or, the NWDAF receives the application layer information directly from the AF.
Optionally, the data processing apparatus further includes: and the providing module is used for providing the application layer service optimization information according to the analysis result. The generating module may also be one of the program modules.
Optionally, the providing module may be configured to send the application layer service optimization information to the AF through the NEF according to the analysis result; or, according to the analysis result, directly sending the application layer service optimization information to the AF.
Still further, the collecting module 110 may be configured to obtain, by the NWDAF, a current TCP window parameter of the application layer service; the providing module may be configured to provide a suggested TCP window parameter according to the analysis result.
As shown in fig. 16, the present embodiment also provides a data processing apparatus including: a receiving module 210, configured to receive application layer service optimization information provided by a network data analysis function NWDAF; and the execution module 220 is configured to execute the application layer service optimization operation according to the application layer service optimization information.
The receiving module 210 and the executing module 220 can also be program modules, and the data processing apparatus can be applied in AF.
Optionally, the data processing apparatus further comprises:
a sending module, configured to send application layer information to the NWDAF through the NEF; or directly sending application layer information to the NWDAF.
Optionally, the application layer information is used for the NWDAF to generate the application layer service optimization information.
The present embodiment also provides a data processing apparatus, including:
and the issuing module is used for issuing the analysis result of the UE granularity by the network data analysis function NWDAF. The issuing module can also be a program module and can be used for issuing the analysis result of the UE granularity to the target functional entity.
The issuing module is configured to issue, by the NWDAF, an analysis result of the UE granularity to at least one of an SMF, an AMF, a UDM, and a UDR through a PCF; or, the NWDAF directly issues the analysis result of the UE granularity to at least one of the SMF, the AMF, the UDM, and the UDR.
Optionally, the analysis result of the UE granularity delivered by the NWDAF to the AMF includes at least one of mobility management information, a tracking area list, and a handover indication of the UE; and/or the analysis result of the UE granularity sent by the NWDAF to the SMF comprises the following steps: at least one of a user plane parameter, a QoS parameter and a traffic routing policy of the UE; and/or the analysis result of the UE granularity delivered by the NWDAF to the UDM or UDR includes: at least one of subscription information and tracking area parameters of the UE.
The present embodiment also provides a data processing apparatus, including: and the receiving module is used for receiving an analysis result of the UE granularity sent by the network data analysis function NWDAF. The receiving module may also be a program module that, when executed by the processor, is capable of receiving UE granularity analysis results. The data processing device can be applied to target functional entities such as SMF, AMF, UDM or UDR.
Optionally, the receiving module may be configured to receive, by a policy control function PCF, the UE granularity parameter information; or, directly receiving an analysis result of the UE granularity from the NWDAF.
Optionally, the data processing apparatus further includes: and the sending module is used for sending the analysis result of the UE granularity to a core network function NF, the UE or a radio access network RAN.
As shown in fig. 17, this embodiment further provides a functional entity, which includes:
a transceiver 310 for transceiving information;
a memory 320 for storing information;
the processor 330 is connected to the transceiver 310 and the memory 320, respectively, and is configured to implement a data processing method applied to any one of the technical solutions of NWDAF, AF, SMF, AMF, UDM, or UDR through execution of a computer-executable program, for example, one or more of the information processing methods shown in fig. 1 to 7, 9, 10A, 10B, 11, 12, 13A, and 14.
The transceiver 310 may correspond to various communication interfaces. The memory 320 may include: storage devices for various types of storage media. The processor 330 may be various types of processors, such as a central processing unit, a microprocessor, a digital signal processor, an application processor, or a programmable array, among others. The processor may be connected to the transceiver and memory through an integrated circuit bus.
The functional entity may be any of the aforementioned NWDAF, AF, SMF, AMF, UDM/UDR.
The embodiment of the invention provides a computer storage medium, which stores a computer executable program; after being executed, the computer executable program can be used to implement a data processing method applied to any one of the technical solutions of NWDAF, AF, SMF, AMF, and UDM/UDR, for example, one or more of the information processing methods shown in fig. 1 to 7, 9, 10A, 10B, 11, 12, 13A, and 14, by executing the computer executable program.
The computer storage media may be various types of storage media, optionally non-transitory storage media.
Several specific examples are provided below based on any of the embodiments described above:
example 1:
the application layer information of the NWDAF is gathered with two paths. In specific implementation, the main process is as follows:
as shown in fig. 8, path 1 may be used to implement NWDAF through information interaction between NEF and AF, collect application layer information of AF, and analyze the information; such as: and collecting a data transmission time window and current TCP window parameters of AF transmission service data.
With path 1, the collection and analysis of application layer information for the NWDAF may include:
step 1, AF sends application layer information to NEF through capability open interface;
step 2, the NEF forwards the application layer information to the NWDAF;
and 3, analyzing and processing the application layer information by the NWDAF.
As shown in fig. 8, implementing information interaction between NWDAF and AF using path 2 may include:
step 1, the AF sends the application layer information to the NWDAF directly; such as: time window for data transmission, current TCP window parameters, etc.;
and 2, analyzing and processing the application layer information by the NWDAF.
The feedback to the AF based on the NWDAF data analysis result has two paths, which respectively correspond to path 1 and path 2 in fig. 2, and the main flow is as follows when the method is implemented:
route 1: the NWDAF carries out information interaction through the NEF and the AF so as to obtain application layer information and feed back an analysis result to the AF; such as: time window for data transmission, TCP window parameters, etc.; the method specifically comprises the following steps:
step 1, the NWDAF sends an analysis result or application layer service optimization information generated based on the analysis result to the NEF through a capability open interface;
step 2, the NEF forwards the information received from the NWDAF to the AF;
and 3, the AF executes corresponding optimization actions according to the analysis result of the NWDAF and/or application layer service optimization information generated based on the analysis result.
Route 2: the NWDAF directly carries out information interaction with the AF and feeds back an analysis result to the AF; such as: time window for data transmission, TCP window parameters, etc.; can include the following steps:
step 1, the NWDAF directly sends an analysis result or application layer service optimization information generated based on the analysis result to the AF;
and step 2, executing corresponding optimization actions according to the analysis result of the AFNWDAF and/or the application layer service optimization information generated based on the analysis result.
Example 2:
the NWDAF issues information parameters based on UE granularity (for example, an optimized meeting for service optimization and the like), and there are two paths from the NWDAF to the SMF and the AMF, which may be specifically shown in fig. 13B, and in the specific implementation, the main flow is as follows:
route 1: the NWDAF issues an analysis result based on the UE granularity through PCF, SMF, AMF and UDM/UDR interaction information;
step 1, the NWDAF issues an analysis result based on the UE granularity to the PCF;
step 2 may include one or more of three branches:
1) Step 2a, PCF forwards the analysis result based on UE granularity to AMF, such as: mobility management information, a tracking area list and a switching indication of the UE;
2) Step 2b, PCF forwards the analysis result based on UE granularity to SMF; such as: user plane parameters, qoS parameters and flow routing strategies of the UE;
3) Step 2c, PCF forwards the analysis result based on UE granularity to UDM/UDR; such as: subscription information of the UE, TAU duration and the like;
step 3, AMF, SMF, UDM/UDR pass the relevant parameters to the core Network Function (NF), UE and RAN.
Route 2: and the NWDAF directly interacts with the SMF, the AMF and the UDM/UDR, and issues an analysis result based on the UE granularity.
Step 1 may include one or more of three branches:
1) Step 1a, NWDAF forwards the analysis result based on UE granularity to AMF, such as: mobility management information, a tracking area list and a switching indication of the UE;
2) Step 1b, the NWDAF forwards the analysis result based on the UE granularity to the SMF; such as: user plane parameters, qoS parameters and flow routing strategies of the UE;
3) Step 1c, the NWDAF forwards the analysis result based on the UE granularity to the UDM/UDR; such as: subscription information of the UE, tracking Area Update (TAU) duration, and the like. The subscription information may include: and controlling the operation information of the UE such as service subscription, account opening or account cancellation.
Step 2, AMF, SMF, UDM/UDR pass the relevant parameters to the core Network Function (NF), UE and RAN.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may be separately used as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer readable storage medium, and when executed, the program performs the steps including the method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (16)

1. A method of data processing, comprising:
the network data analysis function NWDAF receives application layer information from the application function AF through a network open function NEF;
the application layer information includes at least one of:
a Transmission Control Protocol (TCP) window parameter;
communication mode information;
background traffic policy information;
a type of service;
a terminal identification;
service experience information;
a service start time;
service end time;
the length of the cache;
and a voice coding and decoding mode.
2. The method of claim 1, further comprising:
and analyzing the application layer information to obtain an analysis result.
3. A data processing method, comprising:
the network data analysis function NWDAF issues application layer service optimization information to AF through a network open function NEF; the application layer service optimization information is generated according to an analysis result of the application layer information received by the NWDAF from the AF through the NEF;
the application layer information includes at least one of:
a Transmission Control Protocol (TCP) window parameter;
communication mode information;
background traffic policy information;
a type of service;
a terminal identification;
service experience information;
a service start time;
service end time;
the length of the cache;
and a voice coding and decoding mode.
4. The method of claim 3,
the application layer service optimization information comprises at least one of the following:
a proposed transmission control protocol, TCP, window parameter;
suggested communication mode information;
suggested background traffic policy information;
a proposed service type;
a suggested terminal identity;
suggested business experience information;
a proposed service start time;
a proposed service end time;
a suggested cache length;
a proposed speech codec mode.
5. A data processing method, comprising:
the network data analysis function NWDAF directly receives application layer information from the application function AF;
the application layer information includes at least one of:
a Transmission Control Protocol (TCP) window parameter;
communication mode information;
background traffic policy information;
a type of service;
a terminal identification;
service experience information;
a service start time;
service end time;
the length of the cache;
and a voice coding and decoding mode.
6. The method of claim 5,
the method further comprises the following steps:
and analyzing the application layer information to obtain an analysis result.
7. A data processing method, comprising:
the network data analysis function NWDAF directly issues application layer service optimization information to the application function AF; the application layer service optimization information is generated according to the analysis result of the application layer information directly received by the NWDAF from the AF;
the application layer information includes at least one of:
a Transmission Control Protocol (TCP) window parameter;
communication mode information;
background traffic policy information;
a service type;
a terminal identification;
service experience information;
a service start time;
service end time;
the length of the cache;
and a voice coding and decoding mode.
8. The method of claim 7, wherein the application layer traffic optimization information comprises at least one of:
a proposed transmission control protocol, TCP, window parameter;
suggested communication mode information;
suggested background traffic policy information;
a proposed service type;
a proposed terminal identification;
suggested business experience information;
a proposed service start time;
a proposed service end time;
a suggested cache length;
a proposed speech codec mode.
9. A data processing method, comprising:
receiving application layer service optimization information provided by a network data analysis function NWDAF through a network open function NEF; the application layer service optimization information is generated according to an analysis result of the application layer information received by the NWDAF from the AF through the NEF;
the application layer information includes at least one of:
a Transmission Control Protocol (TCP) window parameter;
communication mode information;
background traffic policy information;
a service type;
a terminal identification;
service experience information;
a service start time;
service end time;
the length of the cache;
a voice encoding and decoding mode;
and executing the application layer service optimization operation according to the application layer service optimization information.
10. The method of claim 9,
the method further comprises the following steps:
and sending application layer information to the NWDAF through the NEF.
11. A data processing method, comprising:
directly receiving application layer service optimization information provided by a network data analysis function NWDAF; the application layer service optimization information is generated according to the analysis result of the application layer information directly received by the NWDAF from the AF;
the application layer information includes at least one of:
a Transmission Control Protocol (TCP) window parameter;
communication mode information;
background traffic policy information;
a service type;
a terminal identification;
service experience information;
a service start time;
service end time;
the length of the cache;
a voice encoding and decoding mode;
and executing the application layer service optimization operation according to the application layer service optimization information.
12. The method of claim 11, further comprising:
sending application layer information directly to the NWDAF.
13. A data processing apparatus, characterized by comprising:
the collection module is used for receiving application layer information from the application function AF or directly from the AF by the network data analysis function NWDAF through the network open function NEF;
the application layer information includes at least one of:
a Transmission Control Protocol (TCP) window parameter;
communication mode information;
background traffic policy information;
a service type;
a terminal identification;
service experience information;
a service start time;
service end time;
the length of the cache;
and a voice coding and decoding mode.
14. A data processing apparatus, comprising:
the receiving module is used for receiving application layer service optimization information provided by a network data analysis function (NWDAF) through a network open function (NEF) or directly; the application layer service optimization information is generated according to an analysis result of the application layer information received by the NWDAF through the NEF or directly from the AF;
the application layer information includes at least one of:
a Transmission Control Protocol (TCP) window parameter;
communication mode information;
background traffic policy information;
a service type;
a terminal identification;
service experience information;
a service start time;
service end time;
the length of the cache;
a voice encoding and decoding mode;
and the execution module is used for executing the application layer service optimization operation according to the application layer service optimization information.
15. A functional entity, comprising:
a transceiver for transceiving information;
a memory for storing information;
a processor, connected to the transceiver and the memory respectively, for implementing the data processing method provided in any one of claims 1 to 4, 5 to 6, 7 to 8, 9 to 10, and 11 to 12 through execution of the computer-executable program.
16. A computer storage medium, wherein the computer storage medium stores a computer executable program; when executed, the computer-executable program can implement the data processing method provided in any one of claims 1 to 4, 5 to 6, 7 to 8, 9 to 10, and 11 to 12.
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