CN111586600B - Network auxiliary information providing method and related equipment - Google Patents

Network auxiliary information providing method and related equipment Download PDF

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CN111586600B
CN111586600B CN202010334786.6A CN202010334786A CN111586600B CN 111586600 B CN111586600 B CN 111586600B CN 202010334786 A CN202010334786 A CN 202010334786A CN 111586600 B CN111586600 B CN 111586600B
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analysis
prediction
identifier
network
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CN111586600A (en
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张卓筠
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/20Services signaling; Auxiliary data signalling, i.e. transmitting data via a non-traffic channel
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/50Service provisioning or reconfiguring
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W8/00Network data management
    • H04W8/18Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data

Abstract

The disclosure provides a network auxiliary information providing method and related equipment. The method comprises the following steps: transmitting a terminal data analysis and prediction request message to an access mobile management function, wherein the terminal data analysis and prediction request message carries a target analysis identifier and a target analysis non-access layer request cell, and the target analysis non-access layer request cell comprises a target analysis identifier, a target user terminal identifier and a target service flow identifier; and receiving a terminal data analysis prediction response message from the access mobility management function, wherein the terminal data analysis prediction response message carries a target analysis non-access layer response cell, the target analysis non-access layer response cell comprises network auxiliary information and a target analysis identifier, and the network auxiliary information is generated by the target network data analysis function in response to the target analysis non-access layer request cell. The scheme provided by the embodiment of the disclosure can be applied to data transmission in cloud technology.

Description

Network auxiliary information providing method and related equipment
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a method and apparatus for providing network auxiliary information, an electronic device, and a computer readable storage medium.
Background
In the 3GPP (3 rd Generation Partnership Project, third generation partnership project) standard protocols, it is proposed to use network assistance information to improve the QoE (Quality of Experience, quality of experience, referring to subjective perception of quality and performance of devices, networks and systems, applications or services by users), but no existing standard is given how to provide this network assistance information to UEs (User Equipment).
Accordingly, there is a need for a new network assistance information providing method and apparatus, an electronic device, and a computer-readable storage medium.
It should be noted that the information disclosed in the foregoing background section is only for enhancing understanding of the background of the present disclosure.
Disclosure of Invention
The embodiment of the disclosure provides a network auxiliary information providing method and device, electronic equipment and a computer readable storage medium, which can realize that network auxiliary information is provided for a user terminal so as to improve the experience quality of a streaming media session of the user terminal.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
The embodiment of the disclosure provides a network auxiliary information providing method, which comprises the following steps: transmitting a terminal data analysis and prediction request message to an access mobility management function, wherein the terminal data analysis and prediction request message carries a target analysis identifier and a target analysis non-access layer request cell, and the target analysis non-access layer request cell comprises the target analysis identifier, a target user terminal identifier and a target service flow identifier, so that the access mobility management function transmits the target analysis non-access layer request cell to a target network data analysis function; and receiving a terminal data analysis prediction response message from the access mobility management function, wherein the terminal data analysis prediction response message carries a target analysis non-access layer response cell, the target analysis non-access layer response cell comprises network auxiliary information and the target analysis identifier, and the network auxiliary information is generated by the target network data analysis function in response to the target analysis non-access layer request cell.
The embodiment of the disclosure provides a network auxiliary information providing method, which comprises the following steps: receiving a terminal data analysis and prediction request message from a target user terminal, wherein the terminal data analysis and prediction request message carries a target analysis identifier and a target analysis non-access layer request cell, and the target analysis non-access layer request cell comprises the target analysis identifier, a target user terminal identifier and a target service flow identifier; sending a data analysis prediction subscription message to a target network data analysis function, wherein the data analysis prediction subscription message comprises the target user terminal identifier and the target analysis non-access layer request cell; receiving a data analysis prediction notification message returned by the target network data analysis function, wherein the data analysis prediction notification message comprises the target user terminal identifier and a target analysis non-access layer response cell, the target analysis non-access layer response cell comprises network auxiliary information and the target analysis identifier, and the network auxiliary information is generated by the target network data analysis function in response to the target analysis non-access layer request cell; and sending a terminal data analysis prediction response message to the target user terminal, wherein the terminal data analysis prediction response message comprises the target analysis non-access layer response cell.
The embodiment of the disclosure provides a network auxiliary information providing method, which comprises the following steps: receiving a data analysis prediction subscription message from an access mobility management function, wherein the data analysis prediction subscription message comprises a target user terminal identifier and a target analysis non-access layer request cell, and the target analysis non-access layer request cell comprises a target analysis identifier, the target user terminal identifier and a target service flow identifier; generating network auxiliary information in response to the target analysis non-access stratum request cell prediction; generating a data analysis prediction notification message, wherein the data analysis prediction notification message comprises the target user terminal identifier and a target analysis non-access layer response cell, and the target analysis non-access layer response cell comprises the network auxiliary information and the target analysis identifier; and sending the data analysis prediction notification message to the access mobility management function.
An embodiment of the present disclosure provides a network assistance information providing apparatus, including: an analysis and prediction request message sending unit, configured to send a terminal data analysis and prediction request message to an access mobility management function, where the terminal data analysis and prediction request message carries a target analysis identifier and a target analysis non-access layer request cell, and the target analysis non-access layer request cell includes the target analysis identifier, a target user terminal identifier, and a target service flow identifier, so that the access mobility management function sends the target analysis non-access layer request cell to a target network data analysis function; and the analysis prediction response message receiving unit is used for receiving a terminal data analysis prediction response message from the access mobile management function, wherein the terminal data analysis prediction response message carries a target analysis non-access layer response cell, the target analysis non-access layer response cell comprises network auxiliary information and the target analysis identifier, and the network auxiliary information is generated by the target network data analysis function in response to the target analysis non-access layer request cell.
An embodiment of the present disclosure provides a network assistance information providing apparatus, including: an analysis and prediction request message receiving unit, configured to receive a terminal data analysis and prediction request message from a target user terminal, where the terminal data analysis and prediction request message carries a target analysis identifier and a target analysis non-access layer request cell, and the target analysis non-access layer request cell includes the target analysis identifier, a target user terminal identifier, and a target service flow identifier; an analysis prediction subscription message sending unit, configured to send a data analysis prediction subscription message to a target network data analysis function, where the data analysis prediction subscription message includes the target user terminal identifier and the target analysis non-access stratum request cell; an analysis prediction notification message receiving unit, configured to receive a data analysis prediction notification message returned by the target network data analysis function, where the data analysis prediction notification message includes the target user terminal identifier and a target analysis non-access layer response cell, and the target analysis non-access layer response cell includes network auxiliary information and the target analysis identifier, where the network auxiliary information is generated by the target network data analysis function in response to the target analysis non-access layer request cell; and the analysis prediction response message sending unit is used for sending a terminal data analysis prediction response message to the target user terminal, wherein the terminal data analysis prediction response message comprises the target analysis non-access layer response cell.
An embodiment of the present disclosure provides a network assistance information providing apparatus, including: an analysis prediction subscription message receiving unit, configured to receive a data analysis prediction subscription message from an access mobility management function, where the data analysis prediction subscription message includes a target user terminal identifier and a target analysis non-access stratum request cell, and the target analysis non-access stratum request cell includes a target analysis identifier, the target user terminal identifier, and a target service flow identifier; a network auxiliary information generating unit, configured to generate network auxiliary information in response to the target analysis non-access stratum request cell prediction; an analysis prediction notification message generating unit, configured to generate a data analysis prediction notification message, where the data analysis prediction notification message includes the target user terminal identifier and a target analysis non-access stratum response cell, and the target analysis non-access stratum response cell includes the network auxiliary information and the target analysis identifier; and the analysis prediction notification message sending unit is used for sending the data analysis prediction notification message to the access mobile management function.
The embodiment of the present disclosure provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the network assistance information providing method as described in the above embodiment.
The embodiment of the disclosure provides an electronic device, comprising: one or more processors; and a storage configured to store one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the network assistance information providing method as described in the above embodiments.
In the technical solutions provided in some embodiments of the present disclosure, a target ue sends a terminal data analysis and prediction request to an access mobility management function, and carries a target analysis identifier and a target analysis non-access stratum request cell in the terminal data analysis and prediction request, where the target analysis non-access stratum request cell may include the target analysis identifier, the target ue identifier, and a target traffic flow identifier, so that the access mobility management function may send the target analysis non-access stratum request cell to a target network data analysis function, so that the target network data analysis function may predict and generate network assistance information required by the target ue according to the target analysis non-access stratum request cell, and then receive, by using the access mobility management function, a terminal data analysis and prediction response message in response to the terminal data analysis and prediction request, and include the network assistance information in the terminal data analysis and prediction response message, thereby implementing a function of transmitting predicted network assistance information to the target ue.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort. In the drawings:
fig. 1 is a schematic diagram showing an exemplary system architecture to which a network assistance information providing method or a network assistance information providing apparatus of an embodiment of the present disclosure may be applied;
FIG. 2 illustrates a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure;
fig. 3 schematically illustrates a flowchart of a network assistance information providing method according to an embodiment of the present disclosure;
FIG. 4 schematically illustrates an FLUS frame diagram in the relevant standard;
fig. 5 schematically illustrates a schematic diagram of a network assistance information providing method according to an embodiment of the present disclosure;
Fig. 6 schematically illustrates a flowchart of a network assistance information providing method according to an embodiment of the present disclosure;
fig. 7 schematically illustrates a flowchart of a network assistance information providing method according to an embodiment of the present disclosure;
fig. 8 schematically illustrates a block diagram of a network assistance information providing apparatus according to an embodiment of the present disclosure;
fig. 9 schematically illustrates a block diagram of a network assistance information providing apparatus according to an embodiment of the present disclosure;
fig. 10 schematically illustrates a block diagram of a network assistance information providing apparatus according to an embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the disclosed aspects may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
Fig. 1 shows a schematic diagram of an exemplary system architecture 100 to which a network assistance information providing method or a network assistance information providing apparatus of an embodiment of the present disclosure may be applied.
As shown in fig. 1, a system architecture 100 may include user terminals 101, 102, a network 103, and a server 104. The network 103 is used as a medium for providing communication links between the user terminals 101, 102 and the server 104. The network 103 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
A user may interact with the server 104 via the network 103 using the user terminals 101, 102 to receive or send messages or the like. The user terminals 101, 102 may be various electronic devices having a display screen and supporting access to the network 103, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, wearable devices, virtual reality devices, smart homes, etc.
The ue 101, 102 may send a terminal data analysis prediction request message to the access mobility management function, for example, where the terminal data analysis prediction request message carries a target analysis identifier and a target analysis non-access stratum request cell, where the target analysis non-access stratum request cell includes the target analysis identifier, the target ue identifier, and the target traffic flow identifier, so that the access mobility management function sends the target analysis non-access stratum request cell to the target network data analysis function. The user terminal 101, 102 may also receive a terminal data analysis prediction response message from the access mobility management function, for example, the terminal data analysis prediction response message carrying a target analysis non-access stratum response cell, the target analysis non-access stratum response cell including network assistance information and the target analysis identity, the network assistance information being generated by the target network data analysis function in response to the target analysis non-access stratum request cell.
The server 104 may be a server providing various services, such as a background management server providing support for devices operated by users using the user terminals 101, 102. The background management server can analyze and process the received data such as the request and the like, and feed back the processing result to the user terminal.
It should be understood that the number of user terminals, networks and servers in fig. 1 is merely illustrative and that any number of user terminals, networks and servers may be provided as desired.
The server 104 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs (Content Delivery Network, content delivery networks), basic cloud computing services such as big data and artificial intelligent platforms, and the like. The terminal may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc. The terminal and the server may be directly or indirectly connected through wired or wireless communication, which is not limited herein.
Fig. 2 shows a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure.
It should be noted that the computer system 200 of the electronic device shown in fig. 2 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present disclosure.
As shown in fig. 2, the computer system 200 includes a central processing unit (CPU, central Processing Unit) 201, which can perform various appropriate actions and processes according to a program stored in a Read-Only Memory (ROM) 202 or a program loaded from a storage section 208 into a random access Memory (RAM, random Access Memory) 203. In the RAM 203, various programs and data required for the system operation are also stored. The CPU 201, ROM 202, and RAM 203 are connected to each other through a bus 204. An input/output (I/O) interface 205 is also connected to bus 204.
The following components are connected to the I/O interface 205: an input section 206 including a keyboard, a mouse, and the like; an output section 207 including a Cathode Ray Tube (CRT), a liquid crystal display (LCD, liquid Crystal Display), and the like, and a speaker, and the like; a storage section 208 including a hard disk or the like; and a communication section 209 including a network interface card such as a LAN (Local Area Network ) card, a modem, or the like. The communication section 209 performs communication processing via a network such as the internet. The drive 210 is also connected to the I/O interface 205 as needed. A removable medium 211 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 210 as needed, so that a computer program read therefrom is installed into the storage section 208 as needed.
In particular, according to embodiments of the present disclosure, the processes described below with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 209, and/or installed from the removable medium 211. The computer program, when executed by a Central Processing Unit (CPU) 201, performs the various functions defined in the methods and/or apparatus of the present application.
It should be noted that the computer readable storage medium shown in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM (Erasable Programmable Read Only Memory, erasable programmable read-only memory) or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable storage medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF (Radio Frequency), and the like, or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods, apparatus, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present disclosure may be implemented by means of software, or may be implemented by means of hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
As another aspect, the present application also provides a computer-readable storage medium that may be included in the electronic device described in the above embodiments; or may exist alone without being incorporated into the electronic device. The computer-readable storage medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement the methods described in the embodiments below. For example, the electronic device may implement the steps shown in fig. 3 or fig. 6 or fig. 7.
Cloud technology (Cloud technology) refers to a hosting technology for integrating hardware, software, network and other series resources in a wide area network or a local area network to realize calculation, storage, processing and sharing of data. The cloud technology is based on the general names of network technology, information technology, integration technology, management platform technology, application technology and the like applied by the cloud computing business mode, can form a resource pool, and is flexible and convenient as required. Cloud computing technology will become an important support. Background services of technical networking systems require a large amount of computing, storage resources, such as video websites, picture-like websites, and more portals. Along with the high development and application of the internet industry, each article possibly has an own identification mark in the future, the identification mark needs to be transmitted to a background system for logic processing, data with different levels can be processed separately, and various industry data needs strong system rear shield support and can be realized only through cloud computing.
Big data (Big data) refers to a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, and is a massive, high-growth-rate and diversified information asset which needs a new processing mode to have stronger decision-making ability, insight discovery ability and flow optimization ability. With the advent of the cloud age, big data has attracted more and more attention, and special techniques are required for big data to effectively process a large amount of data within a tolerant elapsed time. Technologies applicable to big data include massively parallel processing databases, data mining, distributed file systems, distributed databases, cloud computing platforms, the internet, and scalable storage systems.
First, some terms related to embodiments of the present disclosure will be described.
NEF (Network Exposure Function, open network capability): the control plane network element of the 5G core network realizes the capability opening of the 5G network towards the application server. Providing information inside the 5G network, such as terminal location information, terminal roaming status, etc., to the application server may be implemented.
AN (access network): refers to an implementation system consisting of a series of transport entities between a core network and a terminal interface in a mobile communication system that provides the required transport bearer capability for transporting telecommunications traffic. It may be referred to herein at least one access network comprising a 4G base station, or a 5G base station RAN (radio access network ) and/or a non-3GPP (non-3 rd Generation Partnership Project, non-third generation partnership project) access network, connected to a 5G core network.
RAN: is part of a mobile communication system. It exists between a device (e.g., a mobile phone, a computer, or any remotely controlled machine) and the Core Network (CN) providing a wireless communication connection between the two.
NF (network function): the 3GPP adopts or 3GPP defined network processing functions in a network, which possess defined functional behavior and 3GPP defined interfaces.
AMF (Access and Mobility Management Function, access and mobility management functions): is mainly responsible for access authentication, authorization and mobility management, and may provide transmission and the like for SM messages between a UE (User Equipment) and an SMF (Session Management Function ).
SMF: is mainly responsible for session management and IP (Internet Protocol ) address assignment. All or part of the SMF functions may be supported in a single instance of SMF: session management, e.g., session establishment, modification and release, including maintenance of channels between the UPF (User Plane Function ) and AN node; UE IP address assignment and management (including optional authorization); configuring the flow control of the UPF, routing the traffic to the correct destination, etc.
UPF: the data packets of the user plane are transmitted by establishing a PDU (Protocol Data Unit ) Session (Session), which is responsible for routing, forwarding, policy enforcement of packet data, etc. Some or all of the UPF functionality may be supported in a single instance of UPF: packet routing and forwarding (e.g., supporting an uplink classifier, ul cl, to offload traffic flows to a local data network, supporting a Branch Point (BP) to support multi-homed PDU sessions), etc.
NRF (NF Repository Function, NF storage function): this functional network element may support a service discovery function. And receiving a network element discovery request from a network element functional entity and feeding back the network element entity information needing to be discovered. At the same time, this network element is also responsible for maintaining information of available network function entities and services they each support. This discovery procedure is triggered by the demand network element function (NF) by providing the type or specific service for which the NRF expects to discover the NF, the NRF providing the IP address or FQDN (Fully Qualified Domain Name, fully qualified domain name/fully qualified domain name) or the corresponding identity of the corresponding NF instance or NF service.
AF (Application Function ): this functionality interacts with the 5G core network with the aim of providing services, e.g. supporting the following functions: (1) application impact on traffic routing; (2) access to network open capability; and (3) interacting with the policy framework to conduct policy management.
NWDAF (Network Data Analytics Function, network data analysis function): and a predictive analysis function of network data managed by the representative operator. NWDAF provides on-demand network data analysis for NF.
DNN, date Network Name, data network name.
S-nsai, single Network Slice Selection Assistance Information, single network slice selection assistance information.
PCF, policy Control Function, policy control function.
FLUS (Framework for Live Uplink Streaming, real-time upstream multimedia framework): architecture for describing related entities providing an upstream multimedia service.
Streaming media (media streaming): may be of the following type: video, audio, text or metadata, etc.
Fig. 3 schematically illustrates a flowchart of a network assistance information providing method according to an embodiment of the present disclosure. The method provided by the embodiments of the present disclosure may be performed by a target user terminal (target UE), which may be any user terminal, such as the user terminals 101 and 102 in the embodiment of fig. 1 described above, but the present disclosure is not limited thereto. As shown in fig. 3, the method provided by the embodiment of the present disclosure may include the following steps.
In step S310, a terminal data analysis and prediction request message is sent to an access mobility management function, where the terminal data analysis and prediction request message carries a target analysis identifier and a target analysis non-access layer request cell, and the target analysis non-access layer request cell includes the target analysis identifier, a target user terminal identifier, and a target service flow identifier, so that the access mobility management function sends the target analysis non-access layer request cell to a target network data analysis function.
In an exemplary embodiment, the target traffic Flow identifier may include a target protocol data unit session identifier, and may further include a target quality of service Flow identifier (QFI (qos (Quality of Service) Flow Identity (ID))).
In an exemplary embodiment, the target traffic flow identification may further include a target application identification.
In an exemplary embodiment, the target traffic identification may also include internet protocol filter information and/or a fully qualified domain name.
In an exemplary embodiment, the target analysis non-access stratum request cell may further include region of interest information.
In an exemplary embodiment, the terminal data analysis forecast request message may further include a target network data analysis function identification.
In step S320, a terminal data analysis prediction response message is received from the access mobility management function, where the terminal data analysis prediction response message carries a target analysis non-access stratum response cell, and the target analysis non-access stratum response cell includes network auxiliary information and the target analysis identifier, and the network auxiliary information is generated by the target network data analysis function in response to the target analysis non-access stratum request cell.
In an exemplary embodiment, the network assistance information may include a data transmission rate prediction value of the target traffic flow corresponding to the target traffic flow identification.
In an exemplary embodiment, the network auxiliary information may include a packet delay prediction value of the target traffic flow corresponding to the target traffic flow identifier.
In an exemplary embodiment, the target analysis non-access stratum request cell may further include a target analysis sub-identity, wherein the network assistance information is determined according to the target analysis identity and the target analysis sub-identity.
In an exemplary embodiment, if the target analysis identifier is set to be a user terminal analysis and the target analysis sub-identifier is set to be a service experience, the network auxiliary information may include at least one of a data transmission rate predicted value and a data packet delay predicted value of a target traffic flow corresponding to the target traffic flow identifier.
In an exemplary embodiment, if the target analysis identifier is set to be a service experience or a user terminal analysis, and the target analysis sub-identifier is set to be a bit rate recommendation, the network assistance information may include a data transmission rate prediction value of a target traffic flow corresponding to the target traffic flow identifier.
In an exemplary embodiment, if the target analysis identifier is set to service experience or user terminal analysis, and the target analysis sub-identifier is set to delay, the network auxiliary information may include a packet delay prediction value of a target traffic flow corresponding to the target traffic flow identifier.
In an exemplary embodiment, if the target analysis identifier is set to be a service experience or a user terminal analysis, and the target analysis sub-identifier is set to be a bit rate recommendation and a delay, the network auxiliary information may include a data transmission rate predicted value and a data packet delay predicted value of a target traffic flow corresponding to the target traffic flow identifier.
In an exemplary embodiment, the target analysis non-access stratum response cell may further include one or more of timestamp information, validity time, validity place, and prediction confidence of the network assistance information.
In an exemplary embodiment, before the terminal data analysis-prediction request message is transmitted to the access mobility management function, the method may further include: and when the target user terminal corresponding to the target user terminal identifier is in an idle state, initiating a service request flow, and establishing non-access layer connection with the access mobility management function.
In an exemplary embodiment, before receiving the terminal data analysis prediction response message from the access mobility management function, the method may further include: and when the target user terminal corresponding to the target user terminal identifier is in an idle state, receiving a paging process initiated by the access mobility management function, and establishing non-access layer connection with the access mobility management function.
According to the network auxiliary information providing method provided by the embodiment of the disclosure, the target user terminal sends the terminal data analysis prediction request to the access mobile management function, the terminal data analysis prediction request carries the target analysis identifier and the target analysis non-access layer request information element, and the target analysis non-access layer request information element can comprise the target analysis identifier, the target user terminal identifier and the target service flow identifier, so that the access mobile management function can send the target analysis non-access layer request information element to the target network data analysis function, the target network data analysis function can generate network auxiliary information required by the target user terminal according to the target analysis non-access layer request information, then the terminal data analysis prediction response message responding to the terminal data analysis prediction request is received through the access mobile management function, and the network auxiliary information is contained in the terminal data analysis prediction response message, so that the function of transmitting the predicted network auxiliary information to the target user terminal is realized.
It should be noted that, the method provided by the embodiment of the present disclosure is not limited to being applicable to uplink streaming media, but may also be applicable to downlink streaming media. In the following embodiments, the uplink streaming media is exemplified.
Fig. 4 schematically shows an FLUS framework diagram in the relevant standard.
The upstream service architecture shown in fig. 4 includes an FLUS source (FLUS source) located at the UE (hereinafter referred to as target UE) side, and an FLUS sink (FLUS receiver) located at another UE or network (network). The FLUS source obtains media content from one or more Capture devices (Capture devices), which may be part of the UE or may be devices connected to the UE. The FLUS sink may be located in another UE or in the network.
The upstream network assistance function, uplink Network Assistance (UNA), is defined in the FLUS architecture. The upstream network assistance function, which allows the FLUS source to improve the QoE (Quality ofExperience ) of upstream streaming media sessions, is provided by Network Assistance Server (NAssS, network assistance server). The NAssS provides network assistance information through a different transmission path than the upstream media. The communication of the UNA does not depend on the communication paths of the F-U (Media Source and Sink ) and F-C (Control Source and Sink, control source and sink), and therefore the communication of the UNA occurs on a completely different path than the FLUS streaming media. FLUS sink also does not need to be aware of UNA functionality. The UNA requests network assistance information based on the FLUS source to provide a response message to the FLUS source. The UNA function may provide any one or both of the following information to the flis source:
NAssS indicates the most appropriate upstream streaming media transmission rate for FLUS source in the latter time period.
NAssS indicates flis source temporary delivery boost function (transmission boost function) to address the risk that the content may exceed the output buffer when upstream.
When the uplink network assistance session is activated, a client (in the embodiment of the present disclosure, a functional component in the target UE is a client dedicated to streaming media processing) may issue an uplink network assistance information request before sending the next piece of uplink streaming media content to the FLUS sink. The uplink network assistance request comprises a single logical signaling interaction. This interaction activates either the first function described above or both functions. The second function is only used when the FLUS source grants access to delivery boost function. If the client does not need a release boost, the NassS will delete the second function in the message responding to the FLUS source.
In the definition of the 3GPP standard protocol TS26.501, NAssS are implemented by AFs in the network, providing an uplink transmission rate or delivery boost function to the flis source.
However, in the relevant standard, the interaction flow between the FLUS source and the AF is not defined, i.e. how the AF sends the uplink network assistance information to the FLUS source.
The NWDAF functions are defined in the 3GPP standard protocol TS23.288, and the NWDAF may analyze the existing functions to obtain service experience data/service data information of a past period of time, or may analyze the service experience data/service data information of a future period of time.
In the embodiment of the present disclosure, the service experience data/service data information that may be obtained by the NWDAF includes at least one of the following: a predicted value of the data transmission rate of a certain QoS flow (called a target traffic flow), a predicted value of the packet delay of the uplink or downlink of a certain QoS flow, and the like.
In the embodiment of the disclosure, the predicted value of the data transmission rate of a certain QoS flow predicted by NWDAF refers to a predicted value of the data transmission rate of the QoS flow in a certain time period in the future, and may be used for assisting the flis source to set the uplink streaming media transmission rate; the predicted value of the packet delay of a certain QoS flow predicted by NWDAF refers to a predicted value of the packet delay of the QoS flow in a certain time period in the future, and may be used to adjust related parameters of the streaming media, for example, to assist the FLUS source in setting a suitable buffer value (for indicating the size of an output buffer of the streaming media to be sent), or to adjust a coding algorithm to match the state of the network, etc. Accordingly, embodiments of the present disclosure propose to send NWDAF predicted traffic data information (including uplink data transmission rate predictors and/or packet delay predictors) to the flis source.
Specifically, the flis source may directly set the received data transmission rate prediction value of the QoS flow to the streaming media transmission rate of the streaming media to be sent in the later period, or may use the received data transmission rate prediction value of the QoS flow to assist in setting the streaming media transmission rate of the streaming media to be sent in the later period, which is not limited in the disclosure.
It may be understood that, if the method provided in the embodiment of the present disclosure is applicable to downstream streaming media, the target UE directly sets the received data transmission rate prediction value of the QoS flow to the streaming media transmission rate of the streaming media to be received in the later period, or may use the received data transmission rate prediction value of the QoS flow to assist in setting the streaming media transmission rate of the streaming media to be received in the later period, which is not limited in the present disclosure.
In the embodiment of the disclosure, when the delay predicted value of the received data packet of the QoS flow is larger, it is indicated that the network is in a poor state at this time, and relevant parameters of the streaming media can be adjusted, for example, a buffer value with larger corresponding settings is used for buffering the streaming media to be sent, so as to prevent data packet loss caused by poor network state; when the delay predicted value of the received data packet of the QoS flow is smaller, it indicates that the network state is better at this time, and the relevant parameters of the streaming media can be adjusted, for example, a smaller buffer value is correspondingly set for buffering the streaming media to be sent.
It can be understood that if the method provided by the embodiment of the present disclosure is suitable for downstream streaming media, when the delay predicted value of the data packet of the QoS flow received by the target UE is larger, it indicates that the network is in a poor state at this time, and relevant parameters of the streaming media can be adjusted, for example, a buffer value with a larger size is correspondingly set, so as to buffer the streaming media to be received, so as to prevent data packet loss caused by poor network state; when the delay predicted value of the received data packet of the QoS flow is smaller, it indicates that the network state is better at this time, and the relevant parameters of the streaming media can be adjusted, for example, a buffer value which is correspondingly set smaller is used for buffering the streaming media to be received.
In the embodiment of the present disclosure, a target UE may be preconfigured to multiple optional coding algorithms of a streaming media to be transmitted (the type and number of specific coding algorithms may be set according to an actual application scenario, which is not limited in the present disclosure), or different parameter values may be configured for the coding algorithms, when a packet delay predicted value of a received QoS stream is larger, which indicates that a network is in a poor state at this time, relevant settings or parameters of the streaming media may be adjusted, for example, a corresponding coding algorithm with smaller coding complexity and lower coding performance may be selected as a target coding algorithm of the streaming media to be transmitted, so as to match a network state at this time; when the delay predicted value of the received data packet of the QoS stream is smaller, the network state is better at the moment, and the relevant setting or parameters of the stream media can be adjusted, for example, the corresponding coding algorithm with higher coding complexity and higher coding performance is selected as the target coding algorithm of the stream media to be transmitted so as to match the network state at the moment.
It can be understood that, if the method provided by the embodiment of the present disclosure is applicable to downstream streaming media, multiple optional decoding algorithms (the type and number of specific decoding algorithms may be set according to an actual application scenario, etc.) may be provided in advance to the streaming media to be received in the target UE (the disclosure is not limited to this), and when the delay predicted value of the data packet of the received QoS stream is larger, it is indicated that the network is in a poor state at this time, and the relevant settings or parameters of the streaming media may be adjusted, for example, the corresponding decoding algorithm with smaller decoding complexity and lower decoding performance may be selected as the target decoding algorithm of the streaming media to be received, so as to match the network state at this time; when the delay predicted value of the received data packet of the QoS stream is smaller, the network state is better, and the relevant parameters of the streaming media can be adjusted, for example, a decoding algorithm with higher decoding complexity and higher decoding performance is selected correspondingly as a target decoding algorithm of the streaming media to be received so as to match the network state at the moment.
In the embodiments of the present disclosure, a NAS (Non-Access Stratum) message (specifically referred to as a target analysis Non-Access Stratum request cell, corresponding to Analytic NAS container below) is defined, and is used to transmit request and response messages between the flis source (i.e., the target UE) and the target NWDAF. The NAS message is sent to the 5G AN by the target UE, then to the AMF by the 5G AN, and then to the target NWDAF by the AMF. Neither the 5G AN nor the AMF parses the NAS message, but only transparently passes the message.
It should be noted that, in the embodiment of the present disclosure, the target analysis non-access stratum request cell refers to a packed message body, which is a packed aggregate of data, and parameters of what kind of data analysis prediction is required by the UE are packed in a container through the container, and the parameters are not analyzed by AN intermediate network element (for example, 5G AN and AMF), and are directly transmitted to a network element (for example, NWDAF) that analyzes the parameters, so that the name in the final writing standard is not limited to Analytic NAS container, and may be determined according to negotiation. The target analysis non-access stratum response cell refers to a packed message body, which is a packed aggregate of data, and the result of data analysis prediction of the target analysis non-access stratum request cell to be received by the UE is packed in a container through the container, the intermediate network element does not analyze the result and directly transmits the result to the target UE analyzing the result, so that the name of the final written standard is not limited to Analytic NAS container and can be determined according to negotiation.
A specific business flow diagram is shown in fig. 5, which may include the following steps.
And 0, when the target UE is in an idle state, the target UE initiates a service request (service request) flow, and establishes NAS connection with the AMF.
Step 1, the target UE sends a terminal data analysis prediction request message to the AMF, where the terminal data analysis prediction request message carries an analytical ID (target analysis identifier), an NWDAF ID (target network data analysis function identifier, optional parameter), analytic NAS container [ analytical sub-ID (target analysis identifier, optional parameter), target of Analytics Reporting (analysis report destination address) =ue ID (target UE identifier), analytics Filter information (analysis filter information) = (at least one parameter information: application ID (i.e. target Application identifier, e.g. video APP (Application) ID on the target UE), but not all APPs have to have ID), IP filter information (IP filter information, may refer to FLUS sink server address information, i.e. destination address information of the streaming media to be sent, so that it may be known for which target traffic flow), FQDN, PDU session ID (and including QFI)), area information (Area of Interest), i.e. prediction information for which Area requested by the target UE), and analysis aid information (Analytics Reporting Information)).
In embodiments of the present disclosure, analytics Reporting Information may include analysis report information parameters, such as event reporting mode (Event Reporting mode), reporting modes may be set, such as maximum analysis report times (a maximum number of reports), periodicity of analysis reports (periodic reporting along with periodicity), and so forth.
Step 2, the AMF selects an appropriate NWDAF (referred to as a target NWDAF) for the terminal data analysis and prediction request message of the target UE.
If the terminal data analysis and prediction request message carries a target NWDAF ID, the AMF selects a target NWDAF corresponding to the target NWDAF ID; the AMF may also reselect a new NWDAF, which may retrieve the analysis prediction information related to the target UE from the old NWDAF (i.e. the NWDAF indicated by the NWDAF ID contained in step 1). If the request message does not carry the target NWDAF ID, the AMF selects the NWDAF supporting UE analytical as the target NWDAF according to the configuration or the service discovery procedure of the NRF.
In the embodiment of the present disclosure, in the process of selecting the target NWDAF, the following factors may be considered with reference to the existing standard-defined method:
-S-NSSAI。
analytics ID(s) (target analysis ID).
NWDAF Serving Area information (NWDAF service area information).
The AMF invokes the data analysis and prediction service of the target NWDAF, and transmits a data analysis and prediction subscription message to the target NWDAF, where the data analysis and prediction subscription message includes UE ID, analytic NAS container [ analytical ID, analytical sub-ID, target of Analytics Reporting =ue ID, analytics Filter information = (at least one of the following parameter information: application ID, IP filter information, FQDN, PDU session ID (may further include QFI)), area of Interest, analytics Reporting Information ].
In the embodiment of the present disclosure, notification Target Address (+ Notification Correlation ID) (notification destination address (+notification related ID) may also be included in the data analysis prediction subscription message, that is, notifying the target NWDAF of which service and corresponding notification related ID to return to the AMF when the target NWDAF returns the data analysis prediction notification message in response to the data analysis prediction subscription message.
And 3, after receiving the data analysis and prediction subscription message, the target NWDAF determines which NF is used as a target network element according to parameters such as an analytical ID, an analytical sub-ID and the like in Analytic NAS container, and determines that corresponding data information is received from the target network element as target data.
And 4, when the target NWDAF analyzes the target data, an analysis and prediction result of the target service flow of the target UE in a future period of time can be obtained, so as to serve as network auxiliary information. The target NWDAF transmits a data analysis prediction notification message to the AMF, the data analysis prediction notification message including the UE ID, analytic NAS container [ analytical ID, analytical sub-ID, analytics information, timestamp information of the prediction result, validity time of the prediction result, validity place of the prediction result, prediction confidence ].
Analytic NAS container in step 4 corresponds to the target analyzing the non-access stratum response cells.
Correspondingly, the data analysis forecast notification message may also include Notification Target Address (+ Notification Correlation ID).
And 5, if the target UE is in an idle state, the AMF firstly pages the target UE, and NAS (Non-access stratum) connection between the target UE and the AMF is established. When the target UE is in a connected state, the AMF transmits a terminal data analysis prediction response message to the target UE, the terminal data analysis prediction response message Analytic NAS container [ analytical ID, analytical sub-ID, analytics information, timestamp information of the prediction result, effective time of the prediction result, effective location of the prediction result, prediction confidence ].
In addition, when the target UE generates a registration area update and changes the AMF, the new AMF updates the connection with the target NWDAF at the same time when the registration area update procedure is completed, that is, the target NWDAF stores the new AMF ID information.
In the embodiment of the disclosure, the network auxiliary information may include analytics information, timestamp information of the predicted result, effective time of the predicted result, effective location of the predicted result, and prediction confidence. Analytics information may be specifically determined according to an analysis ID and an analysis sub-ID, and may include, for example, a data transmission rate prediction value of a target traffic flow corresponding to the target traffic flow identifier and/or a packet delay prediction value of the target traffic flow.
In the embodiment of the disclosure, the following three optional analytical ID setting modes are provided:
parameter optional setting mode one:
if the analytical id=ue analysis (user terminal analysis) in the above step 1 and the analytical sub-id= Service experience (service experience) are added, the Analytics information in the above step 4 may specifically include at least one of the data transmission rate prediction value and the packet delay prediction value of the target QoS flow.
And a parameter selectable setting mode II:
if the analytical id= Service experience in the step 1 is increased by the analytical sub-id= bitrate recommendation (bit rate recommendation), or/and the analytical sub-id=latency (delay), analytics information in the step 4 contains the content requested in the analytical sub-ID, that is, the predicted value of the data transmission rate of the target QoS flow, or/and the predicted value of the packet delay.
And a parameter selectable setting mode III:
if the analytical id=ue analytical in step 1 is increased by the addition of the analytical sub-id= bitrate recommendation, or/and the analytical sub-id=latency, analytics information in step 4 contains the content requested in the analytical sub-ID, i.e. the predicted data transmission rate of the target QoS flow, or/and the predicted data packet delay.
It will be appreciated that the meaning represented by the particular parameter values of the analytical ID and the analytical sub-ID may be determined in accordance with negotiations and is not limited to the above exemplified cases and named names. For example, it may be set that UE Analytic container only needs to include an Analytics ID, and once the target NWDAF receives UE Analytic container, the target NWDAF may know that the target UE requests to perform data analysis prediction of the target UE, and at this time, the target NWDAF may return the predicted data transmission rate prediction value of the target QoS flow corresponding to the target Analytics ID and/or the data packet delay prediction value to the target UE through the AMF. For another example, if UE Analytic container only includes an analysis ID, the target NWDAF may return the predicted data transmission rate prediction value and the packet delay prediction value of the predicted target QoS flow corresponding to the target analysis ID to the target UE through the AMF; if UE Analyticcontainer includes both an analysis ID and an analysis sub-ID, the predicted data transmission rate predicted value and/or the predicted data packet delay predicted value of the target QoS flow are returned to the target UE according to the values of the analysis ID and the analysis sub-ID.
The embodiment of the disclosure provides a network auxiliary information providing method capable of sending NWDAF predicted service information data (i.e., network auxiliary information) to an flis source. I.e. a method is provided for providing predicted traffic information data to the flis source by the NWDAF and extends the scope of the side information. That is, compared with the technology in the related standard, the AF, which is the disclosed standardized method of NAssS, may return a data transmission rate prediction value (bitrate recommendation ) of a target traffic flow corresponding to the target traffic flow identifier, and may also return a packet delay prediction value (latency) of the target traffic flow. After receiving the returned network auxiliary information, the target UE can assist in the optimization processing such as the setting of the streaming media transmission rate, the setting of the size of an output/input buffer zone, the matching of a coding and decoding algorithm and the like.
Fig. 6 schematically illustrates a flowchart of a network assistance information providing method according to an embodiment of the present disclosure. The method provided by the embodiments of the present disclosure may be performed by an AMF, but the present disclosure is not limited thereto. As shown in fig. 6, the method provided by the embodiment of the present disclosure may include the following steps.
In step S610, a terminal data analysis and prediction request message is received from a target user terminal, where the terminal data analysis and prediction request message carries a target analysis identifier and a target analysis non-access layer request cell, and the target analysis non-access layer request cell includes the target analysis identifier, the target user terminal identifier, and the target service flow identifier.
In step S620, a data analysis prediction subscription message is sent to a target network data analysis function, where the data analysis prediction subscription message includes the target user terminal identifier and the target analysis non-access stratum request cell.
In an exemplary embodiment, the method may further include: and if the terminal data analysis and prediction request message does not comprise the target network data analysis function identification, determining the target network data analysis function for the terminal data analysis and prediction request message.
In step S630, a data analysis prediction notification message returned by the target network data analysis function is received, where the data analysis prediction notification message includes the target user terminal identifier and a target analysis non-access stratum response cell, and the target analysis non-access stratum response cell includes network auxiliary information and the target analysis identifier, where the network auxiliary information is generated by the target network data analysis function in response to the target analysis non-access stratum request cell.
In step S640, a terminal data analysis prediction response message is sent to the target user terminal, where the terminal data analysis prediction response message includes the target analysis non-access stratum response cell.
In an exemplary embodiment, before sending the terminal data analysis prediction response message to the target user terminal, the method may further include: and when the target user terminal corresponding to the target user terminal identifier is in an idle state, initiating a paging process to the target user terminal, and establishing non-access layer connection with the target user terminal.
Fig. 7 schematically illustrates a flowchart of a network assistance information providing method according to an embodiment of the present disclosure. The method provided by the embodiments of the present disclosure may be performed by the target NWDAF, but the present disclosure is not limited thereto. As shown in fig. 7, the method provided by the embodiments of the present disclosure may include the following steps.
In step S710, a data analysis and prediction subscription message is received from the access mobility management function, the data analysis and prediction subscription message including a target user terminal identity and a target analysis non-access stratum request cell, the target analysis non-access stratum request cell including a target analysis identity, the target user terminal identity and a target traffic flow identity.
In step S720, network assistance information is generated in response to the target analysis non-access stratum request cell prediction.
In step S730, a data analysis prediction notification message is generated, the data analysis prediction notification message including the target user terminal identity and a target analysis non-access stratum response cell, the target analysis non-access stratum response cell including the network assistance information and the target analysis identity.
In step S740, the data analysis prediction notification message is sent to the access mobility management function.
The embodiments of fig. 6 and 7 may be embodied with reference to the contents of the other embodiments described above.
Fig. 8 schematically illustrates a block diagram of a network assistance information providing apparatus according to an embodiment of the present disclosure. As shown in fig. 8, a network assistance information providing apparatus 800 provided by an embodiment of the present disclosure may include: an analysis prediction request message transmitting unit 810 and an analysis prediction response message receiving unit 820.
The analysis and prediction request message sending unit 810 may be configured to send a terminal data analysis and prediction request message to an access mobility management function, where the terminal data analysis and prediction request message carries a target analysis identifier and a target analysis non-access stratum request cell, and the target analysis non-access stratum request cell includes the target analysis identifier, a target user terminal identifier, and a target traffic flow identifier, so that the access mobility management function sends the target analysis non-access stratum request cell to a target network data analysis function. The analysis prediction response message receiving unit 820 may be configured to receive a terminal data analysis prediction response message from the access mobility management function, where the terminal data analysis prediction response message carries a target analysis non-access stratum response cell, and the target analysis non-access stratum response cell includes network assistance information and the target analysis identifier, where the network assistance information is generated by the target network data analysis function in response to the target analysis non-access stratum request cell.
In an exemplary embodiment, the network assistance information includes a data transmission rate prediction value of the target traffic flow corresponding to the target traffic flow identification.
In an exemplary embodiment, the network assistance information includes a packet delay prediction value of the target traffic flow corresponding to the target traffic flow identifier.
In an exemplary embodiment, the target analysis non-access stratum request cell further comprises a target analysis sub-identity, wherein the network assistance information is determined from the target analysis identity and the target analysis sub-identity.
In an exemplary embodiment, if the target analysis identifier is set to be a user terminal analysis and the target analysis sub-identifier is set to be a service experience, the network auxiliary information includes at least one of a data transmission rate predicted value and a data packet delay predicted value of a target traffic flow corresponding to the target traffic flow identifier.
In an exemplary embodiment, if the target analysis identifier is set to be a service experience or a user terminal analysis, and the target analysis sub-identifier is set to be a bit rate recommendation, the network assistance information includes a data transmission rate prediction value of a target traffic flow corresponding to the target traffic flow identifier.
In an exemplary embodiment, if the target analysis identifier is set to service experience or user terminal analysis, and the target analysis sub-identifier is set to delay, the network auxiliary information includes a packet delay prediction value of a target traffic flow corresponding to the target traffic flow identifier.
In an exemplary embodiment, if the target analysis identifier is set to be a service experience or a user terminal analysis, and the target analysis sub-identifier is set to be a bit rate recommendation and a delay, the network auxiliary information includes a data transmission rate predicted value and a data packet delay predicted value of a target service flow corresponding to the target service flow identifier.
In an exemplary embodiment, the target traffic flow identification includes a target protocol data unit session identification, and may further include a target quality of service flow identification.
In an exemplary embodiment, the target traffic flow identification further comprises a target application identification.
In an exemplary embodiment, the target traffic identification further includes internet protocol filter information and/or a fully qualified domain name.
In an exemplary embodiment, the target analysis non-access stratum request cell further includes region of interest information.
In an exemplary embodiment, the terminal data analysis forecast request message further includes a target network data analysis function identification.
In an exemplary embodiment, the target analysis non-access stratum response cell further includes one or more of timestamp information, validity time, validity place, and prediction confidence of the network assistance information.
In an exemplary embodiment, before sending the terminal data analysis and prediction request message to the access mobility management function, the method further comprises: and when the target user terminal corresponding to the target user terminal identifier is in an idle state, initiating a service request flow, and establishing non-access layer connection with the access mobility management function.
In an exemplary embodiment, before receiving a terminal data analysis prediction response message from the access mobility management function, the method further comprises: and when the target user terminal corresponding to the target user terminal identifier is in an idle state, receiving a paging process initiated by the access mobility management function, and establishing non-access layer connection with the access mobility management function.
The specific implementation of each unit in the network auxiliary information providing apparatus provided in the embodiments of the present disclosure may refer to the content in the above network auxiliary information providing method, which is not described herein again.
Fig. 9 schematically shows a block diagram of a network assistance information providing apparatus according to an embodiment of the present disclosure. As shown in fig. 9, the network assistance information providing apparatus 900 provided by the embodiment of the present disclosure may include: an analysis prediction request message receiving unit 910, an analysis prediction subscription message transmitting unit 920, an analysis prediction notification message receiving unit 930, and an analysis prediction response message transmitting unit 940.
The analysis and prediction request message receiving unit 910 may be configured to receive a terminal data analysis and prediction request message from a target user terminal, where the terminal data analysis and prediction request message carries a target analysis identifier and a target analysis non-access stratum request cell, and the target analysis non-access stratum request cell includes the target analysis identifier, the target user terminal identifier, and the target traffic flow identifier. The analysis forecast subscription message sending unit 920 may be configured to send a data analysis forecast subscription message to a target network data analysis function, where the data analysis forecast subscription message includes the target user terminal identity and the target analysis non-access stratum request cell. The analysis prediction notification message receiving unit 930 may be configured to receive a data analysis prediction notification message returned by the target network data analysis function, where the data analysis prediction notification message includes the target user terminal identifier and a target analysis non-access stratum response cell, and the target analysis non-access stratum response cell includes network assistance information and the target analysis identifier, where the network assistance information is generated by the target network data analysis function in response to the target analysis non-access stratum request cell. The analysis prediction response message transmitting unit 940 may be configured to transmit a terminal data analysis prediction response message to the target user terminal, where the terminal data analysis prediction response message includes the target analysis non-access stratum response cell.
In an exemplary embodiment, the network assistance information providing apparatus 900 may further include: the target network data analysis function determining unit may be configured to determine the target network data analysis function for the terminal data analysis prediction request message if the terminal data analysis prediction request message does not include the target network data analysis function identifier.
In an exemplary embodiment, the network assistance information providing apparatus 900 may further include: and the connection establishment unit can be used for initiating a paging process to the target user terminal when the target user terminal corresponding to the target user terminal identifier is in an idle state before sending a terminal data analysis prediction response message to the target user terminal, and establishing non-access layer connection with the target user terminal.
The specific implementation of each unit in the network auxiliary information providing apparatus provided in the embodiments of the present disclosure may refer to the content in the above network auxiliary information providing method, which is not described herein again.
Fig. 10 schematically illustrates a block diagram of a network assistance information providing apparatus according to an embodiment of the present disclosure. As shown in fig. 10, the network assistance information providing apparatus 1000 provided by the embodiment of the present disclosure may include: an analysis prediction subscription message receiving unit 1010, a network assistance information generating unit 1020, an analysis prediction notification message generating unit 1030, and an analysis prediction notification message transmitting unit 1040.
Wherein the analysis and prediction subscription message receiving unit 1010 may be configured to receive a data analysis and prediction subscription message from an access mobility management function, where the data analysis and prediction subscription message includes a target user terminal identifier and a target analysis non-access stratum request cell, and the target analysis non-access stratum request cell includes a target analysis identifier, the target user terminal identifier, and a target traffic flow identifier. The network assistance information generating unit 1020 may be configured to generate network assistance information in response to the target analysis non-access stratum request cell prediction. The analysis prediction notification message generation unit 1030 may be configured to generate a data analysis prediction notification message, where the data analysis prediction notification message includes the target user terminal identity and a target analysis non-access stratum response cell, and the target analysis non-access stratum response cell includes the network assistance information and the target analysis identity. The analysis prediction notification message transmission unit 1040 may be used to transmit the data analysis prediction notification message to the access mobility management function.
The specific implementation of each unit in the network auxiliary information providing apparatus provided in the embodiments of the present disclosure may refer to the content in the above network auxiliary information providing method, which is not described herein again.
It should be noted that although in the above detailed description several units of the apparatus for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more of the units described above may be embodied in one unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one unit described above may be further divided into a plurality of units to be embodied.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (40)

1. A network assistance information providing method, comprising:
transmitting a terminal data analysis and prediction request message to an access mobility management function, wherein the terminal data analysis and prediction request message carries a target analysis identifier which is outside a target analysis non-access layer request cell and comprises the target analysis identifier, a target user terminal identifier, a target service flow identifier, region-of-interest information and analysis report information, and the target analysis non-access layer request cell packages the requested data analysis and prediction parameters in a container so that the access mobility management function does not analyze the target analysis non-access layer request cell and transmits the target analysis non-access layer request cell to a target network data analysis function;
and receiving a terminal data analysis prediction response message from the access mobility management function, wherein the terminal data analysis prediction response message carries a target analysis non-access layer response cell, the target analysis non-access layer response cell comprises network auxiliary information and the target analysis identifier, and the network auxiliary information is generated by the target network data analysis function in response to the target analysis non-access layer request cell.
2. The network assistance information providing method according to claim 1, wherein the network assistance information includes a data transmission rate prediction value of the target traffic flow corresponding to the target traffic flow identification.
3. The network assistance information providing method according to claim 1, wherein the network assistance information includes a packet delay prediction value of the target traffic flow corresponding to the target traffic flow identifier.
4. The network assistance information providing method of claim 1, wherein the target analysis non-access stratum request cell further comprises a target analysis sub-identity, wherein the network assistance information is determined according to the target analysis identity and the target analysis sub-identity.
5. The network assistance information providing method according to claim 4, wherein if the target analysis identifier is set to user terminal analysis and the target analysis sub-identifier is set to service experience, the network assistance information includes at least one of a data transmission rate prediction value and a data packet delay prediction value of a target traffic flow corresponding to the target traffic flow identifier.
6. The network assistance information providing method according to claim 4, wherein if the target analysis identifier is set to be a service experience or a user terminal analysis, the target analysis sub-identifier is set to be a bit rate recommendation, the network assistance information includes a data transmission rate prediction value of a target traffic flow corresponding to the target traffic flow identifier.
7. The network assistance information providing method according to claim 4, wherein if the target analysis identifier is set to be a service experience or a user terminal analysis, the target analysis sub-identifier is set to be a delay, the network assistance information includes a packet delay prediction value of a target traffic flow corresponding to the target traffic flow identifier.
8. The network assistance information providing method according to claim 4, wherein if the target analysis identifier is set to be a service experience or a user terminal analysis, and the target analysis sub-identifier is set to be a bit rate recommendation and a delay, the network assistance information includes a data transmission rate prediction value and a packet delay prediction value of a target traffic flow corresponding to the target traffic flow identifier.
9. The network assistance information providing method according to claim 1, wherein the target traffic flow identity comprises a target protocol data unit session identity.
10. The network assistance information providing method according to claim 1, wherein the target traffic flow identifier further comprises a target application identifier.
11. The network assistance information providing method according to claim 1, wherein the target traffic flow identification further comprises internet protocol filter information and/or a fully qualified domain name.
12. The network assistance information providing method according to claim 1, wherein the terminal data analysis prediction request message further includes a target network data analysis function identification.
13. The network assistance information providing method of claim 1, wherein the target analysis non-access stratum response cell further comprises one or more of time stamp information, validity time, validity place, and prediction confidence of the network assistance information.
14. The network assistance information providing method according to claim 1, wherein before transmitting the terminal data analysis prediction request message to the access mobility management function, the method further comprises:
and when the target user terminal corresponding to the target user terminal identifier is in an idle state, initiating a service request flow, and establishing non-access layer connection with the access mobility management function.
15. The network assistance information providing method according to claim 1, wherein before receiving a terminal data analysis prediction response message from the access mobility management function, the method further comprises:
and when the target user terminal corresponding to the target user terminal identifier is in an idle state, receiving a paging process initiated by the access mobility management function, and establishing non-access layer connection with the access mobility management function.
16. A network assistance information providing method, comprising:
receiving a terminal data analysis and prediction request message from a target user terminal, wherein the terminal data analysis and prediction request message carries a target analysis non-access layer request cell and a target analysis identifier which is positioned outside the target analysis non-access layer request cell, the target analysis non-access layer request cell comprises the target analysis identifier, a target user terminal identifier, a target service flow identifier, region-of-interest information and analysis report information, and the target analysis non-access layer request cell packages the requested data analysis and prediction parameters in a container;
sending a data analysis prediction subscription message to a target network data analysis function, wherein the data analysis prediction subscription message comprises the target user terminal identifier and the target analysis non-access layer request cell, and the target analysis non-access layer request cell is not analyzed and is transmitted to the target network data analysis function;
receiving a data analysis prediction notification message returned by the target network data analysis function, wherein the data analysis prediction notification message comprises the target user terminal identifier and a target analysis non-access layer response cell, the target analysis non-access layer response cell comprises network auxiliary information and the target analysis identifier, and the network auxiliary information is generated by the target network data analysis function in response to the target analysis non-access layer request cell;
And sending a terminal data analysis prediction response message to the target user terminal, wherein the terminal data analysis prediction response message comprises the target analysis non-access layer response cell.
17. The network assistance information providing method according to claim 16, further comprising:
and if the terminal data analysis and prediction request message does not comprise the target network data analysis function identification, determining the target network data analysis function for the terminal data analysis and prediction request message.
18. The network assistance information providing method according to claim 16, wherein before transmitting a terminal data analysis prediction response message to the target user terminal, the method further comprises:
and when the target user terminal corresponding to the target user terminal identifier is in an idle state, initiating a paging process to the target user terminal, and establishing non-access layer connection with the target user terminal.
19. A network assistance information providing method, the method being performed by a target network data analysis function, the method comprising:
receiving a data analysis prediction subscription message from an access mobility management function, wherein the data analysis prediction subscription message comprises a target analysis non-access layer request cell and a target user terminal identifier which is positioned outside the target analysis non-access layer request cell, the target analysis non-access layer request cell comprises a target analysis identifier, the target user terminal identifier, a target service flow identifier, region of interest information and analysis report information, the target analysis non-access layer request cell packages parameters of requested data analysis prediction in a container, and the access mobility management function does not analyze the target analysis non-access layer request cell and transmits the parameters to the target network data analysis function;
Generating network auxiliary information in response to the target analysis non-access stratum request cell prediction;
generating a data analysis prediction notification message, wherein the data analysis prediction notification message comprises the target user terminal identifier and a target analysis non-access layer response cell, and the target analysis non-access layer response cell comprises the network auxiliary information and the target analysis identifier;
and sending the data analysis prediction notification message to the access mobility management function.
20. A network assistance information providing apparatus, comprising:
an analysis prediction request message sending unit, configured to send a terminal data analysis prediction request message to an access mobility management function, where the terminal data analysis prediction request message carries a target analysis non-access stratum request cell and a target analysis identifier that is located outside the target analysis non-access stratum request cell, where the target analysis non-access stratum request cell includes the target analysis identifier, a target user terminal identifier, a target service flow identifier, region of interest information, and analysis report information, and the target analysis non-access stratum request cell packages parameters of the requested data analysis prediction in a container, so that the access mobility management function does not parse the target analysis non-access stratum request cell, and transparently transmits the target analysis non-access stratum request cell to a target network data analysis function;
And the analysis prediction response message receiving unit is used for receiving a terminal data analysis prediction response message from the access mobile management function, wherein the terminal data analysis prediction response message carries a target analysis non-access layer response cell, the target analysis non-access layer response cell comprises network auxiliary information and the target analysis identifier, and the network auxiliary information is generated by the target network data analysis function in response to the target analysis non-access layer request cell.
21. The network assistance information providing apparatus of claim 20, wherein the network assistance information includes a data transmission rate prediction value of the target traffic flow corresponding to the target traffic flow identification.
22. The network assistance information providing apparatus of claim 20, wherein the network assistance information includes a packet delay prediction value for the target traffic flow corresponding to the target traffic flow identification.
23. The network assistance information providing apparatus of claim 20, wherein the target analysis non-access stratum request cell further comprises a target analysis sub-identity, wherein the network assistance information is determined based on the target analysis identity and the target analysis sub-identity.
24. The network assistance information providing apparatus of claim 23, wherein if the target analysis identifier is set to user terminal analysis and the target analysis sub-identifier is set to service experience, the network assistance information includes at least one of a data transmission rate prediction value and a data packet delay prediction value of a target traffic flow corresponding to the target traffic flow identifier.
25. The network assistance information providing apparatus of claim 23, wherein the network assistance information includes a predicted data transmission rate value of a target traffic flow corresponding to the target traffic flow identifier if the target analysis identifier is set to be a service experience or a user terminal analysis and the target analysis sub-identifier is set to be a bit rate recommendation.
26. The network assistance information providing apparatus of claim 23, wherein if the target analysis identifier is set to be a service experience or a user terminal analysis, the target analysis sub-identifier is set to be a delay, the network assistance information includes a packet delay prediction value of a target traffic flow corresponding to the target traffic flow identifier.
27. The network assistance information providing apparatus of claim 23, wherein the network assistance information includes a predicted data transmission rate and a predicted packet delay for a target traffic flow corresponding to the target traffic flow identifier if the target analysis identifier is set to be a service experience or a user terminal analysis and the target analysis sub-identifier is set to be a bit rate recommendation and a delay.
28. The network assistance information providing apparatus of claim 20, wherein the target traffic flow identity comprises a target protocol data unit session identity.
29. The network assistance information providing apparatus of claim 20, wherein the target traffic flow identifier further comprises a target application identifier.
30. The network assistance information providing device of claim 20, wherein the target traffic flow identification further comprises internet protocol filter information and/or a fully qualified domain name.
31. The network assistance information providing apparatus according to claim 20, wherein the terminal data analysis prediction request message further includes a target network data analysis function identification.
32. The network assistance information providing apparatus of claim 20, wherein the target analysis non-access stratum response cell further comprises one or more of time stamp information, validity time, validity place, and prediction confidence of the network assistance information.
33. The network assistance information providing apparatus according to claim 20, wherein said apparatus is further configured to: and when the target user terminal corresponding to the target user terminal identifier is in an idle state, initiating a service request flow, and establishing non-access layer connection with the access mobility management function.
34. The network assistance information providing apparatus according to claim 20, wherein said apparatus is further configured to: and when the target user terminal corresponding to the target user terminal identifier is in an idle state, receiving a paging process initiated by the access mobility management function, and establishing non-access layer connection with the access mobility management function.
35. A network assistance information providing apparatus, comprising:
an analysis and prediction request message receiving unit, configured to receive a terminal data analysis and prediction request message from a target user terminal, where the terminal data analysis and prediction request message carries a target analysis non-access stratum request cell and a target analysis identifier that is outside the target analysis non-access stratum request cell, where the target analysis non-access stratum request cell includes the target analysis identifier, a target user terminal identifier, a target traffic flow identifier, region of interest information, and analysis report information, and the target analysis non-access stratum request cell packages parameters of requested data analysis and prediction in a container;
an analysis prediction subscription message sending unit, configured to send a data analysis prediction subscription message to a target network data analysis function, where the data analysis prediction subscription message includes the target user terminal identifier and the target analysis non-access stratum request cell, and the target analysis non-access stratum request cell is not parsed and is transmitted to the target network data analysis function;
An analysis prediction notification message receiving unit, configured to receive a data analysis prediction notification message returned by the target network data analysis function, where the data analysis prediction notification message includes the target user terminal identifier and a target analysis non-access layer response cell, and the target analysis non-access layer response cell includes network auxiliary information and the target analysis identifier, where the network auxiliary information is generated by the target network data analysis function in response to the target analysis non-access layer request cell;
and the analysis prediction response message sending unit is used for sending a terminal data analysis prediction response message to the target user terminal, wherein the terminal data analysis prediction response message comprises the target analysis non-access layer response cell.
36. The network assistance information providing apparatus according to claim 35, wherein said apparatus is further configured to: and if the terminal data analysis and prediction request message does not comprise the target network data analysis function identification, determining the target network data analysis function for the terminal data analysis and prediction request message.
37. The network assistance information providing apparatus according to claim 35, wherein said apparatus is further configured to: and when the target user terminal corresponding to the target user terminal identifier is in an idle state, initiating a paging process to the target user terminal, and establishing non-access layer connection with the target user terminal.
38. A network assistance information providing apparatus, the apparatus being applied to a target network data analysis function, the apparatus comprising:
an analysis prediction subscription message receiving unit, configured to receive a data analysis prediction subscription message from an access mobility management function, where the data analysis prediction subscription message includes a target analysis non-access stratum request cell and a target user terminal identifier that is outside the target analysis non-access stratum request cell, the target analysis non-access stratum request cell includes a target analysis identifier, the target user terminal identifier, a target traffic flow identifier, region of interest information, and analysis report information, the target analysis non-access stratum request cell packages parameters of the requested data analysis prediction in a container, and the access mobility management function does not parse the target analysis non-access stratum request cell and transparently transmits the parameters to the target network data analysis function;
a network auxiliary information generating unit, configured to generate network auxiliary information in response to the target analysis non-access stratum request cell prediction;
an analysis prediction notification message generating unit, configured to generate a data analysis prediction notification message, where the data analysis prediction notification message includes the target user terminal identifier and a target analysis non-access stratum response cell, and the target analysis non-access stratum response cell includes the network auxiliary information and the target analysis identifier;
And the analysis prediction notification message sending unit is used for sending the data analysis prediction notification message to the access mobile management function.
39. An electronic device, comprising:
one or more processors;
storage means configured to store one or more programs, which when executed by the one or more processors, cause the one or more processors to implement the network assistance information providing method of any one of claims 1 to 19.
40. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the network assistance information providing method according to any one of claims 1 to 19.
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