WO2021013225A1 - 一种实现信息关联的方法及装置 - Google Patents

一种实现信息关联的方法及装置 Download PDF

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WO2021013225A1
WO2021013225A1 PCT/CN2020/103833 CN2020103833W WO2021013225A1 WO 2021013225 A1 WO2021013225 A1 WO 2021013225A1 CN 2020103833 W CN2020103833 W CN 2020103833W WO 2021013225 A1 WO2021013225 A1 WO 2021013225A1
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interface
information
gnb
association
business
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PCT/CN2020/103833
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English (en)
French (fr)
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钟芸
张海涛
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中兴通讯股份有限公司
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Publication of WO2021013225A1 publication Critical patent/WO2021013225A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/50—Service provisioning or reconfiguring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W76/00—Connection management
    • H04W76/10—Connection setup
    • H04W76/12—Setup of transport tunnels

Definitions

  • This application relates to, but is not limited to, next-generation mobile communication technologies, such as a method and device for realizing information association.
  • 5G will provide high-traffic mobile broadband for ultra-high-definition video, virtual reality/augmented reality (VR/AR, Virtual Reality/Augmented Reality), high-speed mobile Internet and other business needs, and provide ultra-reliable low-time with sensors and data collection as the target Extension communications can also provide services for vertical industries such as the Internet of Vehicles and industrial control with massive machine communications.
  • VR/AR virtual reality/augmented reality
  • AR/Augmented Reality Virtual Reality/Augmented Reality
  • Extension communications can also provide services for vertical industries such as the Internet of Vehicles and industrial control with massive machine communications.
  • This application provides a method and device for realizing information association, which can provide reliable data support for the intelligent operation and maintenance of the next generation mobile communication system.
  • This application provides a method for realizing information association, including:
  • the present application also provides a computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to execute any one of the methods for information association described above.
  • the present application further provides a device for realizing information association, including a processor and a memory; wherein the memory stores a computer program that can run on the processor, and when the computer program is executed by the processor , To implement any of the methods for information association described above.
  • This application also provides a device for realizing information association, including: a collection module and a processing module; wherein,
  • the collection module is configured to collect information exchanged between the network element itself and the network element;
  • the processing module is configured to perform association learning based on the collected information and pre-set associated key information, and generate end-to-end business records including business-related information.
  • Set as Figure 1 is a flowchart of a method for implementing information association in this application
  • FIG. 2 is a schematic flowchart of an embodiment of information association in this application.
  • FIG. 3 is a schematic flowchart of another embodiment of information association in this application.
  • FIG. 4 is a schematic flowchart of another embodiment of information association in this application.
  • FIG. 5 is a schematic diagram of the composition structure of an apparatus for realizing information association in this application.
  • the computing device includes one or more processors (Central Processing Unit, CPU), input/output interfaces, network interfaces, and memory.
  • processors Central Processing Unit, CPU
  • input/output interfaces input/output interfaces
  • network interfaces network interfaces
  • memory volatile and non-volatile memory
  • Memory may include non-permanent memory in computer readable media, random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of computer readable media.
  • RAM random access memory
  • ROM read-only memory
  • flash RAM flash memory
  • Computer-readable media include permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology.
  • the information can be computer-readable instructions, data structures, program modules, or other data.
  • Examples of computer storage media include, but are not limited to, phase-change memory (Phase-change Random Access Memory, PRAM), static random access memory (Static Random Access Memory, SRAM), dynamic random access memory (Dynamic Random Access Memory, DRAM), other types of RAM, ROM, Electrically Erasable Programmable Read-Only Memory (EEPROM), flash memory or other memory technologies, CD-ROM (Compact Disc Read-only Memory) -Only Memory, CD-ROM), Digital Video Disc (DVD) or other optical storage, magnetic cassette tape, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used for storage and Information accessed by computing devices.
  • computer-readable media does not include non-transitory computer-readable media (transitory media), such as modulated data signals
  • next-generation mobile communication networks such as 5G network equipment will generate diversified massive data at the physical layer, link layer, virtual layer, network layer, and user layer.
  • the inventor of the present application believes that by uniformly storing and analyzing these massive data, forming multi-dimensional and refined data such as each business and each user, combined with machine learning intelligent operation and maintenance technology, not only can real-time support for users to quickly launch new services, but also At the same time, it can also close the entire business process from business perception evaluation, to problem determination, positioning, and effect evaluation after processing, to improve user perception, and to connect market, customer service, and operation and maintenance data.
  • This application proposes a method for realizing information association, as shown in FIG. 1, including step 100 to step 101.
  • step 100 information exchanged between the network element itself and the network element is collected.
  • the network element includes but is not limited to:
  • UE User terminal
  • gNB 5G new interface base station
  • gNB 5G NR Nodeb
  • AMF Access and Mobility Management Function
  • SMF Session Management Function
  • UPF User Plane Function
  • AUSF authentication service function
  • UDM Unified Data Management
  • the collected information includes but is not limited to:
  • the interface and the measurement report of the network element collected between the network elements include, but are not limited to:
  • NAS Non-Access Stratum
  • NGAP Next Generation
  • NG Application Protocal Next Generation
  • GTP-U GTP user plane
  • GTP is the GPRS tunneling protocol (GPRS Tunnelling Protocol);
  • N11 interface between AMF and SMF where N11 interface uses HTTP/2 protocol
  • N12 interface between AMF and AUSF uses HTTP/2 protocol
  • N14 interface between AMF and AMF where N14 interface uses HTTP/2 protocol
  • RRC Radio Resource Control
  • Xn interface between gNB, where Xn interface uses Xn interface application protocol (XnAP, Xn Application Protocol);
  • gNB-CU gNB Central Unit
  • gNB-DU gNB Distributed Unit
  • F1 interface application protocol F1AP, F1Application Protocol
  • E1 interface between gNB central processing unit-control plane (gNB-CU-CP, gNB-CU-Control Plane) and gNB central processing unit-user plane (gNB-CU-UP, gNB-CU-User Plane), where , E1 interface uses E1 interface application protocol (E1AP, E1 Application Protocol);
  • E1AP E1 Application Protocol
  • step 101 association learning is performed according to the collected information and preset associated key information, and an end-to-end business record including business-related information is generated.
  • the pre-set associated key information is found by the inventor of the present application after careful study of the business process of the next-generation mobile communication network such as 5G network, which can be used to implement the entire end-to-end service
  • the involved information (that is, the collected information) is related to some key information.
  • the interactive information between network elements (that is, the collected information) is scattered on different network elements.
  • This application will be scattered on different network elements by associating key information
  • the information on the same business or the information of each user in each business is connected in series and saved as an end-to-end business record. In this way, through the end-to-end business record, you can clearly and conveniently know the business or the information Which network elements the user has passed through, what processing has been done on these network elements, whether the processing is successful, and other business-related information.
  • the associated key information includes but is not limited to:
  • SUPI User Permanent Identifier
  • IMSI International Mobile Subscriber Identity
  • IP Internet Protocol
  • ID identifiers
  • performing association learning based on the collected information and preset associated key information to generate end-to-end business records including business-related information including:
  • the method for realizing information association in the present application includes: collecting information exchanged between network elements; performing association learning based on the collected information and preset associated key information, and generating end-to-end business records including business-related information.
  • This application provides reliable data support for the intelligent operation and maintenance of the next-generation mobile communication system, in particular, provides data support for the 5G end-to-end intelligent operation and maintenance.
  • this application can implement information association in services including but not limited to:
  • the pre-set associated key information perform association learning on the bill records of the N1 interface, the bill records of the N2 interface and the bill records of the N12 interface to obtain the user's subscriber permanent identifier (SUPI, Subscription Permanent Identifier) information; use the obtained SUPI Perform subsequent end-to-end association learning as associated key information, and generate end-to-end business records that include business-related information;
  • SUPI Subscriber Permanent identifier
  • the pre-set related key information perform association learning on the bill records of the N1 interface, the bill records of the N2 interface and the bill records of the N11 interface to obtain the user's SUPI information; use the obtained SUPI as the associated key information for subsequent end-to-end association Learn to generate end-to-end business records including business-related information;
  • the association learns end-to-end service records including user SUPI, location, terminal, latitude and longitude, billing information, etc., so that event records for different services are complete , Which provides strong data support for subsequent intelligent operation and maintenance analysis;
  • the associated learning includes complete registration process related information, handover process related information, session management, wireless quality information, and other 5G important event procedures. Terminal business records provide strong data support for subsequent intelligent operation and maintenance analysis.
  • step 101 may include:
  • the event information collected from the N1 interface and N2 interface does not carry the user permanent identifier (SUPI, Subscription Permanent Identifier) information, it is further associated with the authentication (Authentication) event of the N12 interface Nausf_UE Authentication service to obtain SUPI ;
  • the Nsmf_PDU Session or Namf_Communication service of the N11 interface may carry SUPI. Therefore, it is necessary to further associate with the N11 interface and associate with backfill SUPI.
  • the signaling of Uu interface, Xn interface, E1 interface, and F1 interface collected by gNB is associated with N1 interface and N2 interface to obtain SUPI.
  • CU-UP uu-extend means that the Uu measurement report of gNB-CU-UP is associated with the E1 interface to obtain SUPI
  • DU uu-extend means that the Uu measurement report of gNB-DU is associated with the F1 interface to obtain SUPI.
  • the N3 interface collects media plane data, prioritizes the association with the N11 interface, and learns information such as SUPI, Quality of Service (QoS), Data Network Name (DNN), etc.; when the N3 interface and the N11 interface are not associated Next, the N3 interface is further associated with the N1 interface and the N2 interface for learning.
  • SUPI Quality of Service
  • QoS Quality of Service
  • DNN Data Network Name
  • SUPI After all interfaces have learned SUPI, the key information associated with SUPI will continue to be associated and learned, and information such as cache number, location, latitude and longitude, terminal, billing, and wireless quality will be obtained and updated in real-time to single interface events.
  • An embodiment of the present invention also provides a computer-readable storage medium, and the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to execute any one of the foregoing methods for information association.
  • the embodiment of the present invention also provides a device for realizing information association, including a processor and a memory; wherein a computer program that can be run on the processor is stored in the memory: when the computer program is executed by the processor, it implements any of the foregoing The method to achieve information association described above.
  • FIG. 2 is a schematic flowchart of an embodiment of information association in this application.
  • This embodiment takes the association learning SUPI based on the 5G network as an example. As shown in FIG. 2, it includes steps 200 to 203.
  • step 200 association learning is performed through the authentication process of the N12 interface to obtain SUPI.
  • the 5G authentication process has multiple message interaction processes, including:
  • the AMF sends an authentication request such as a POST request to the authentication service function (AUSF, Authentication Server Function), and the authentication request carries the UE identity (UE id), where the UE id may be the user hidden identity (SUCI, Subscription). Concealed Identifier), or SUPI. If the UE id carried in the authentication request is SUPI, the process ends.
  • AUSF authentication service function
  • UE id UE identity
  • SUPI User hidden identity
  • the AUSF returns a response to the AMF.
  • the information in the authCtxId field in the Location header field in the response can be used as subsequent association key information.
  • the AUSF response will also carry the authentication type, such as 5G AKA, or EAP-AKA’, or EAP-TLS.
  • EAP is the Extensible Authentication Protocol
  • AKA is the Authentication and Key Agreement (Authentication and Key Agreement)
  • TLS Transport Layer Security (Transport Layer Security).
  • the authCtxId field is recorded as the key associated information for this authentication of the UE.
  • the subsequent process will vary according to the authentication type, but the authCtxId is always the same.
  • AUSF returns SUPI to AMF.
  • the authentication type and authentication parameters are recorded.
  • the authentication parameters can include, but are not limited to, for example: 5G AKA type challenge random number RAND and authentication token AUTN, EAP type EAP Session, etc.
  • step 201 the N1 interface, the N2 interface and the N12 interface learn SUPI in association.
  • Each UE on the AMF is marked with a unique AMF UE NGAP ID.
  • the UE registers in the AMF for the first time, it will record the UE's AMF UE NGAP ID as a unique identifier. All subsequent processes of the N1 interface and N2 interface of the UE use the AMF UE NGAP ID to match the AMF UE NGAP ID recorded during registration to learn all the information of the UE in association.
  • the N1 interface and N2 interface processes need to be associated with the N12 interface to obtain SUPI. After the UE is successfully registered, the authentication parameters are unchanged, and the authentication parameters can be used as the key information to complete the association learning.
  • the N1 interface and N2 interface process for the UE whose authentication type is 5G AKA, extract the RAND and AUTN parameters, and match them with the RAND and AUTN parameters saved in step 200.
  • For UEs whose authentication types are EAP-AKA' and EAP-TLS extract the TypeData in the EAP Session and match it with the TypeData of the EAP Session saved in step 200. If the matching is successful, obtain the SUPI saved in the N12 interface .
  • the length of the authentication parameter is relatively long, and a suitable hash (HASH) algorithm can be selected to calculate the authentication parameter, and the value after the HASH calculation can be matched.
  • HASH hash
  • step 202 if SUPI cannot be obtained from the N12 interface, the SUPI is learned through the Nsmf_PDU Session or Namf_Communication service association of the N1 interface, the N2 interface, and the N11 interface.
  • the Nsmf_PDU Session service or Namf_Communication service message of the N11 interface may carry the SUPI field.
  • the message of the N1 interface and the N2 interface can pass the UPF network element address + UPF network element tunnel ID (UPF Addr+UPF Teid) and the UPF Addr+UPF Teid field of the N11 interface Match to get the SUPI field.
  • UPF Addr+UPF Teid UPF Addr+UPF Teid
  • Nsmf_PDU Session is the PDU Session service of the NSMF interface, which is a technical term for 5G
  • Namf_Communication is the Communication service of the NAMF interface, which is also a technical term for 5G.
  • Service interface is a unique concept of 5G, which is different from logical interface (such as N11, N13, etc.).
  • the logical interfaces based on HTTP/2 in the 5G protocol have corresponding service interfaces.
  • One service interface can correspond to multiple logical interfaces, and one logical interface can also correspond to multiple service interfaces.
  • step 203 the N1 interface, the N2 interface, the N3 interface, the N9 interface, the N11 interface, and the N14 interface learn the SUPI information from each other.
  • N3 interface and N9 interface related to the user plane can be associated through UPF Addr+UPF Teid to learn SUPI; in the case that UPF Addr+UPF Teid cannot be associated, then gNB Addr+gNB Teid can be used Perform associated learning again. In the case that the association still cannot be performed using gNB Addr + gNB Teid, then the UE IP is used for the association attempt.
  • FIG. 3 is a schematic flowchart of another embodiment of information association in this application.
  • This embodiment takes the wireless data association learning SUPI based on the 5G network as an example. As shown in FIG. 3, it includes steps 300 to 303.
  • step 300 SUPI is obtained through associated learning of the bill information collected by the Uu interface, Xn interface, E1 interface, and F1 interface.
  • the AMF UE NGAP ID can be collected through gNB-CU-CP. Therefore, the AMF UE NGAP ID collected through the Uu interface, Xn interface, E1 interface, and F1 interface can be combined with the AMF UE NGAP ID collected through the N1 interface and N2 interface. Match, learn SUPI in association.
  • step 301 CU-UP uu-extend learns to acquire SUPI in association with the E1 interface.
  • CU-UP uu-extend is the Uu measurement report of gNB-CU-UP. It needs to be associated with gNB-CU-CP using gNB ID+gNB-CUUE F1AP ID, and then associated with N1 interface and N2 interface through AMF UE NGAP ID Learn to get SUPI.
  • step 302 DU uu-extend learns to acquire SUPI in association with the F1 interface.
  • DU uu-extend is the Uu measurement report of gNB-DU, which needs to be associated with gNB-CU-CP using gNB ID+gNB-CU-CP UE E1AP ID, and then learned through AMF UE NGAP ID associated with N1 and N2 interfaces. SUPI.
  • step 303 the N1 interface, the N2 interface, the N3 interface, the N9 interface, the N11 interface, and the N16 interface learn wireless dimension information from each other.
  • wireless dimension information Including but not limited to such as: cell, tracking area, latitude and longitude, altitude, wireless quality and other information.
  • FIG. 4 is a schematic flow diagram of another embodiment for implementing information association in this application. This embodiment takes association learning based on a 5G network handover process as an example, as shown in FIG.
  • step 400 the N2 interface cut-out and N2 interface cut-in processes are associated with learning.
  • the N2 interface switching process involves the operation of multiple interfaces, especially the N2 interface cut-in and cut-out are two independent processes.
  • the cut-out side uses RAN Node ID+C-RNTI and the cut-in side gNB IP+C-RNTI to match and associate, and after the association, the cut-out tracking area will be learned in the end-to-end handover record And the cell, as well as the tracking area and cell that you cut into.
  • step 401 the handover process associates and learns wireless interface information.
  • the handover event record learns the MDT information of DUu-extend, the GPS information of the N3 interface, and the MR positioning information of DUu-extend according to the SUPI association, and obtains the latitude, longitude, altitude and Location Source before and after the handover. In addition, you can also learn the wireless quality information of the cell before and after the handover.
  • step 402 the handover process associates N4 interface, N11 interface, and N14 interface information.
  • the handover process fills in the numbers learned in each process, International Mobile Equipment Identity (IMEI) and other information to generate a complete end-to-end handover process event record, and all the information is combined into a complete 5G handover end to End event record.
  • IMEI International Mobile Equipment Identity
  • Fig. 5 is a schematic diagram of the composition structure of an apparatus for realizing information association in this application. As shown in Fig. 5, it at least includes: a collection module and a processing module;
  • the collection module is set to collect the information exchanged between the network element itself and the network element;
  • the processing module is configured to perform associated learning based on the collected information and preset associated key information, and generate end-to-end business records including business-related information.
  • the collection module may include multiple, which are distributed at interfaces between network elements of a next-generation mobile communication network such as a 5G network.
  • the processing module is set to:
  • the associated key information is used to match the collected information to find information that matches the associated key information; the matched information is combined to form an end-to-end business record including the business-related information.
  • the network element includes but is not limited to:
  • UE gNB, AMF, SMF, UPF, AUSF, UDM network elements, etc.
  • the information exchanged between network elements includes but is not limited to:
  • the device for realizing information association through this application provides reliable data support for the intelligent operation and maintenance of the next-generation mobile communication system, and in particular, provides data support for the 5G end-to-end intelligent operation and maintenance.

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Abstract

本申请公开了一种实现信息关联的方法及装置，所述方法包括：采集网元自身和网元之间交互的信息；根据采集到的信息和预先设置的关联关键信息进行关联学习，生成包括业务相关信息的端到端业务记录。

Description

一种实现信息关联的方法及装置
本申请要求在2019年7月23日提交中国专利局、申请号为201910667015.6的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本申请涉及但不限于下一代移动通信技术，例如一种实现信息关联的方法及装置。
背景技术
第五代移动通信技术(5th generation mobile networks，5G)时代下，更大的流量、更精细的数据、更丰富的业务场景、更个性化的业务将极大促进运营商网络数字化转型；与此同时，无论是通信带宽、网络延迟时间，还是设备连接数量，在5G时代都将会是一个质的飞跃。在网络不断发展演进中，网络运维保障着整个5G网络的通信质量、安全和可靠性，助力实现网络投资的保值与增值。5G将为超高清视频、虚拟现实/增强现实(VR/AR，Virtual Reality/Augmented Reality)、高速移动上网等业务需求提供大流量移动宽带，并提供以传感器和数据采集为目标的超可靠低时延通信，也能够以海量的机器通信为车联网、工业控制等垂直行业提供服务。
实现统一数据分析支撑的市场经营分析、运维智能处理、客服主动服务的全生命周期的用户感知管理及保障，是5G及下一代通信时代的运维趋势。而相关技术中，对于5G业务，还没有提出完整的信令监测关联分析的方案，也就是说，还不能为5G***的智能运维提供完整的数据支撑。
发明内容
本申请提供一种实现信息关联的方法及装置，能够为下一代移动通信***的智能运维提供可靠的数据支撑。
本申请提供了一种实现信息关联的方法，包括：
采集网元自身和网元之间交互的信息；
根据采集到的信息和预先设置的关联关键信息进行关联学习，生成包括业务相关信息的端到端业务记录。
本申请还提供了一种计算机可读存储介质，所述计算机可读存储介质存储有计算机可执行指令，所述计算机可执行指令用于执行上述任一项所述的实现信息关联的方法。
本申请再提供了一种实现信息关联的装置，包括处理器以及存储器；其中，所述存储器上存储有可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时，实现上述任一项所述的实现信息关联的方法。
本申请又提供了一种实现信息关联的装置，包括：采集模块、处理模块；其中，
所述采集模块，设置为采集网元自身和网元之间交互的信息；
所述处理模块，设置为根据采集到的信息和预先设置的关联关键信息进行关联学习，生成包括业务相关信息的端到端业务记录。
附图说明
设置为图1为本申请实现信息关联的方法的流程图；
图2为本申请实现信息关联的一实施例的流程示意图；
图3为本申请实现信息关联的另一实施例的流程示意图；
图4为本申请实现信息关联的又一实施例的流程示意图；
图5为本申请实现信息关联的装置的组成结构示意图。
具体实施方式
在本申请一个典型的配置中，计算设备包括一个或多个处理器(Central Processing Unit，CPU)、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(Random Access Memory，RAM)和/或非易失性内存等形式，如只读存储器(Read-Only Memory，ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(Phase-change Random Access Memory，PRAM)、静态随机存取存储器(Static Random Access Memory，SRAM)、动态随机存取存储器(Dynamic Random Access Memory，DRAM)、其他类型的RAM、ROM、电可擦除可编程只读存储器(Electrically Erasable Programmable Read-Only Memory，EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(Compact Disc Read-Only Memory，CD-ROM)、数字多功能光盘(Digital Video Disc，DVD)或其他光学存储、磁盒式磁带，磁带磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括非暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
为使本申请的目的、技术方案和优点更加清楚明白，下文中将结合附图对本申请的实施例进行详细说明。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互任意组合。
在不同应用场景下，下一代移动通信网络如5G网络设备会在物理层、链路层、虚拟层、网络层和用户层等产生多元化的海量数据。本申请发明人认为：通过将这些海量数据进行统一存储和分析，形成如每业务每用户的多维精细化数据，结合机器学习的智能运维技术，不仅能实时保障用户新业务快速上线的支撑，同时也可以从业务使用感知评估，到问题的定界定位处理及处理后的效果评估闭环整个业务流程，提升用户感知；并将市场、客服、运维数据打通。
本申请提出一种实现信息关联的方法，如图1所示，包括步骤100至步骤101。
在步骤100中，采集网元自身和网元之间交互的信息。
在一种示例性实例中，网元包括但不限于如：
用户终端(UE，User Equipment)、5G新接口基站(gNB，5G NR Nodeb)、接入和移动性管理功能(AMF，Access and Mobility Management Function)、会话管理功能(SMF，Session Management Function)、用户面功能(UPF，User Plane Function)、鉴权服务功能(AUSF，Authentication Server Function)、统一数据管理(UDM，Unified Data Management)网元等。
在一种示例性实例中，采集到的信息包括但不限于：
网元之间交换的信令、网元自身的无线测量报告等。
在一种示例性实例中，网元之间采集的接口和网元的测量报告包括但不限于如：
UE和AMF之间的N1接口，其中，N1接口使用非接入层(NAS，Non-Access Stratum)协议；
gNB和AMF之间的N2接口，其中，N2接口使用NG(Next Generation)应用协议(NGAP，NG Applacation Protocal)协议；
gNB和UPF之间的N3接口，其中，N3接口使用GTP用户面(GTP-U)协议，其中GTP为GPRS隧道协议(GPRS Tunnelling Protocol)；
SMF和UPF之间的N4接口，其中，N4接口使用超文本传输协议/2(HTTP/2，HyperText Transfer Protocol/2)；
UPF之间的N9接口，其中，N9接口使用GTP-U协议；
AMF和SMF之间的N11接口，其中，N11接口使用HTTP/2协议；
AMF和AUSF之间的N12接口，其中，N12接口使用HTTP/2协议；
AMF和AMF之间的N14接口，其中，N14接口使用HTTP/2协议；
UE和gNB之间的Uu接口，其中，Uu接口使用无线资源控制(RRC，Radio Resource Control)协议；
gNB之间的Xn接口，其中，Xn接口使用Xn接口应用协议(XnAP，Xn Application Protocol)；
gNB中央处理单元(gNB-CU，gNB Central Unit)和gNB分布式处理单元(gNB-DU，gNB Distributed Unit)之间的F1接口，其中，F1接口使用F1接口应用协议(F1AP，F1Application Protocol)；
gNB中央处理单元-控制面(gNB-CU-CP，gNB-CU-Control Plane)和gNB中央处理单元-用户面(gNB-CU-UP，gNB-CU-User Plane)之间的E1接口，其中，E1接口使用E1接口应用协议(E1AP，E1Application Protocol)；
gNB-CU-UP的测量报告CU-UP uu-extend；
gNB-DU的测量报告DU uu-extend。
在步骤101中，根据采集到的信息和预先设置的关联关键信息进行关联学习，生成包括业务相关信息的端到端业务记录。
在一种示例性实例中，预先设置的关联关键信息是本申请发明人在对下一代移动通信网络如5G网络的业务流程仔细研究后找出的、能够将端到端业务的整个实现过程中所涉及的信息(即采集到的信息)关联起来的一些关键信息。换句话说，在端到端业务实现中，网元之间的交互信息(即采集到的信息)是散落在不同的网元上的，本申请通过关联关键信息，将散落在不同的网元上的关于如同一业务的信息或每个业务中每个用户的信息串联起来，作为端到端业务记录保存起来，这样，通过端到端业务记录，可以很清楚很方便地获知该业务或该用户该业务经过了哪些网元，在这些网元上做了什么处理，处理是否成功等等业务相关信息。
在一种示例性实例中，关联关键信息包括但不限于如：
用户永久标识符(SUPI，Subscription Permanent Identifier)、国际移动用户识别码(International Mobile Subscriber Identity，IMSI)、用户号码、网络协议(Internet Protocol，IP)地址、以及各类标识(Identity，ID)如：隧道端点标识(Tunnel Endpoint Identifier，TEID)、AMF UE NGAP ID、UE E1AP ID等等。
在一种示例性实例中，根据采集到的信息和预先设置的关联关键信息进行关联学习，生成包括业务相关信息的端到端业务记录，包括：
利用关联关键信息在采集到的信息中匹配，找到与关联关键信息匹配的信息；合并匹配到的信息以形成包括所述业务相关信息的端到端业务记录。
需要说明的是，在业务的实现过程中，不同网元之间可以采用不同的关联关键信息，也可以采用相同的关联关键信息。
本申请实现信息关联的方法包括：采集网元之间交互的信息；根据采集到的信息和预先设置的关联关键信息进行关联学习，生成包括业务相关信息的端到端业务记录。通过本申请为下一代移动通信***的智能运维提供可靠的数据支撑，特别地，为5G端到端智能运维提供了数据支撑。
在一种示例性实例中，以5G网络为例，本申请可以在包括但不限于以下业务中实现信息关联：
根据预先设置的关联关键信息，对N1接口的话单记录、N2接口的话单记录和N12接口的话单记录进行关联学习，获取用户的用户永久标识符(SUPI，Subscription Permanent Identifier)信息；利用获得的SUPI作为关联关键信息进行后续端到端关联学习，生成包括业务相关信息的端到端业务记录；
根据预先设置的关联关键信息，对N1接口的话单记录、N2接口的话单记录和N11接口的话单记录进行关联学习，获取用户的SUPI信息；利用获得的SUPI作为关联关键信息进行后续端到端关联学习，生成包括业务相关信息的端到端业务记录；
根据预先设置的关联关键信息，根据从N1接口、N2接口、N3接口、N9接口、N11接口、N12接口、N14接口采集的信令信息，以及gNB采集的Uu接口、Xn接口、E1接口、F1接口的信令以及无线测量报告，通过本申请实现信息关联的方法，关联学习到包括用户SUPI、位置、终端、经纬度、计费信息等的端到端业务记录，使得针对不同业务的事件记录完整，为后续智能运维分析提供了强有力的数据支撑；
根据预先设置的关联关键信息，根据从N1接口、N2接口、N3接口、N9接口、N11接口、N12接口、N14接口采集的信令信息，以及gNB采集的Uu接口、Xn接口、E1接口、F1接口的信令以及无线测量报告，通过本申请实现信息关联的方法，关联学习得到包括完整的注册过程相关信息、切换过程相关信息、会话管理、无线质量信息以及其他5G重要事件流程等的端到端业务记录，为后续智能运维分析提供了强有力的数据支撑。
在一种示例性实例中，以5G网络为例，步骤101可以包括：
在从N1接口、N2接口采集到的事件信息中不携带用户永久标识符(SUPI，Subscription Permanent Identifier)信息的情况下，进一步与N12接口Nausf_UE Authentication服务的鉴权(Authentication)事件关联，以获取SUPI；在通过这种方式还是不能获取SUPI的情况下，N11接口的Nsmf_PDU Session或者Namf_Communication服务有可能携带SUPI，因此，需要进一步关联N11接口，关联回填SUPI。
gNB采集的Uu接口、Xn接口、E1接口、F1接口的信令，和N1接口以及N2接口关联获取SUPI。CU-UP uu-extend即gNB-CU-UP的Uu测量报告和E1接口关联获取SUPI，DU uu-extend即gNB-DU的Uu测量报告和F1接口关联获取SUPI。
N3接口采集媒体面数据，优先和N11接口关联，学习SUPI、服务质量(Quality of Service，QoS)、数据网络名称(Data Network Name，DNN)等信 息；在N3接口和N11接口关联不上的情况下，N3接口进一步与N1接口和N2接口关联学习。
当所有的接口都学习到SUPI后，以SUPI为关联关键信息将继续关联学习，得到缓存号码、位置、经纬度、终端、计费、无线质量等信息，并实时更新到单接口事件中。
最后，完整流程的单接口事件进行关联，形成完整的事件记录。
本发明实施例还提供一种计算机可读存储介质，计算机可读存储介质存储有计算机可执行指令，所述计算机可执行指令用于执行上述任一项所述的实现信息关联的方法。
本发明实施例还提供一种实现信息关联的装置，包括处理器以及存储器；其中，存储器上存储有可在处理器上运行的计算机程序：计算机程序被处理器执行时，实现上述任一项所述的实现信息关联的方法。
下面结合具体实施例对本申请实现信息关联的方法进行详细描述。
图2为本申请实现信息关联的一实施例的流程示意图，该实施例以基于5G网络的关联学习SUPI为例，如图2所示，包括步骤200至步骤203。
在步骤200中，通过N12接口的鉴权流程进行关联学习获取SUPI。
5G的鉴权流程有多个消息交互流程，包括：
首先，AMF向鉴权服务功能(AUSF，Authentication Server Function)发送鉴权请求如POST请求，在鉴权请求中携带有UE标识(UE id)，其中，UE id可能为用户隐藏标识(SUCI，Subscription Concealed Identifier)，也可能为SUPI。在鉴权请求中携带的UE id是SUPI的情况下，结束流程。
在鉴权请求中携带的UE id不是SUCI的情况下，那么，AUSF向AMF返回响应，本实施例中，可以将响应中Location头域中的authCtxId字段的信息作为后续关联关键信息。AUSF的响应中还会携带鉴权类型，比如5G AKA、或 EAP-AKA’、或EAP-TLS。其中，EAP为扩展认证协议(Extensible Authentication Protocol)，AKA为认证和密钥协商协议(Authentication and Key Agreement)，TLS为安全传输层协议(Transport Layer Security)。
记录authCtxId字段作为UE本次鉴权的关键关联信息，后续流程会根据鉴权类型的不同而不同，但是authCtxId始终不变。在鉴权成功的情况下，AUSF向AMF返回SUPI。此时，就可以根据返回响应中的authCtxId字段去匹配存储记录中的authCtxId，在返回响应中的authCtxId字段和存储记录中的authCtxId匹配成功的情况下，将SUPI保存在完整的鉴权业务记录中，同时记录鉴权类型和鉴权参数，其中，鉴权参数可以包括但不限于如：5G AKA类型的质询随机数RAND和认证令牌AUTN，EAP类型的EAP Session等。
在步骤201中，N1接口、N2接口和N12接口关联学习SUPI。
AMF上的每个UE都采用唯一的AMF UE NGAP ID进行标志，UE第一次在AMF中注册的时候，会记录UE的AMF UE NGAP ID作为唯一标识。后续该UE的N1接口、N2接口的所有流程，都采用AMF UE NGAP ID和注册时记录的AMF UE NGAP ID匹配，以关联学习该UE的所有信息。
N1接口、N2接口流程需要与N12接口关联才能获取SUPI。UE注册成功后，鉴权参数是不变的，可以采用鉴权参数作为关联关键信息来完成关联学习。N1接口、N2接口流程中，对于鉴权类型为5G AKA的UE，提取RAND和AUTN参数，与步骤200中保存的RAND和AUTN参数进行匹配，在匹配成功的情况下，获取N12接口保存的SUPI；对于鉴权类型为EAP-AKA’和EAP-TLS的UE，提取EAP Session中的TypeData，与步骤200中保存的EAP Session的TypeData进行匹配，在匹配成功的情况下，获取N12接口保存的SUPI。
在一种示例性实例中，鉴权参数长度比较长，可以选择合适哈希(HASH)算法对鉴权参数进行计算，匹配HASH计算后的值即可。
在步骤202中，在不能从N12接口获取SUPI的情况下，通过N1接口、N2 接口和N11接口的Nsmf_PDU Session或Namf_Communication服务关联学习SUPI。N11接口的Nsmf_PDU Session服务或Namf_Communication服务消息可能携带SUPI字段，N1接口、N2接口消息可以通过UPF网元地址+UPF网元隧道ID(UPF Addr+UPF Teid)和N11接口的UPF Addr+UPF Teid字段匹配，以获取SUPI字段。其中，Nsmf_PDU Session是NSMF接口的PDU Session服务，是5G的专业术语；Namf_Communication是NAMF接口的Communication服务，也是5G的专业术语。服务接口是5G特有概念，不同于逻辑接口(如N11、N13之类)。5G协议中基于HTTP/2的逻辑接口都有对应的服务接口。一个服务接口可以对应多个逻辑接口，一个逻辑接口也可以对应多个服务接口。
在使用UPF Addr+UPF Teid无法关联的情况下，采用gNB Addr+gNB Teid再次进行关联学习，获取SUPI字段。
在步骤203中，N1接口、N2接口、N3接口、N9接口、N11接口以及N14接口相互学习SUPI信息。
特别是用户面相关的N3接口、N9接口，可以通过UPF Addr+UPF Teid来完成关联，以学习得到SUPI；在使用UPF Addr+UPF Teid无法关联的情况下，那么，可以采用gNB Addr+gNB Teid再次进行关联学习。在使用gNB Addr+gNB Teid仍然无法进行关联的情况下，那么，使用UE IP进行关联尝试。
图3为本申请实现信息关联的另一实施例的流程示意图，该实施例以基于5G网络的无线数据关联学习SUPI为例，如图3所示，包括步骤300至步骤303。
在步骤300中，通过Uu接口、Xn接口、E1接口以及F1接口采集的话单信息关联学习获取SUPI。
通过gNB-CU-CP可以采集到AMF UE NGAP ID，因此，可以将通过Uu接口、Xn接口、E1接口、F1接口采集到的AMF UE NGAP ID与N1接口、N2接口采集到的AMF UE NGAP ID匹配，以关联学习SUPI。
在步骤301中，CU-UP uu-extend关联E1接口学习获取SUPI。
CU-UP uu-extend即gNB-CU-UP的Uu测量报告，需要先采用gNB ID+gNB-CU UE F1AP ID关联到gNB-CU-CP，再通过AMF UE NGAP ID与N1接口以及N2接口关联学习得到SUPI。
在步骤302中，DU uu-extend关联F1接口学习获取SUPI。
DU uu-extend即gNB-DU的Uu测量报告，需要先采用gNB ID+gNB-CU-CP UE E1AP ID关联到gNB-CU-CP，再通过AMF UE NGAP ID与N1接口以及N2接口关联学习得到SUPI。
在步骤303中，N1接口、N2接口、N3接口、N9接口、N11接口以及N16接口相互学习无线维度信息。
当所有无线接口的话单都学习到SUPI后，通过N1接口、N2接口、N3接口、N9接口、N11接口以及N16接口流程话单信息，就可以学习到用户的无线维度信息，其中，无线维度信息包括但不限于如：小区、跟踪区、经纬度、高度、无线质量等信息。
图4为本申请实现信息关联的又一实施例的流程示意图，该实施例以基于5G网络的切换流程的关联学习为例，如图4所示，包括步骤400至步骤403。
在步骤400中，N2接口切出和N2接口切入流程关联学习。
N2接口切换流程涉及多个接口的操作，尤其N2接口的切入和切出是两个独立的流程。为了关联形成完整的端到端切换记录，首先需要将切入和切出进行关联。在一种示例性实例中，切出侧使用RAN Node ID+C-RNTI和切入侧gNB IP+C-RNTI进行匹配来关联，关联后在端到端的切换记录中会学习出切出的跟踪区和小区，以及切入的跟踪区和小区。
在步骤401中，切换流程关联学习无线接口信息。
切换事件记录根据SUPI关联学习DU uu-extend的MDT信息、N3接口的GPS信息以及DU uu-extend的MR定位信息，获取切换前后的经纬度、高度和 Location Source等。此外，还可以学习出切换前后小区的无线质量信息等。
在步骤402中，切换流程关联N4接口、N11接口以及N14接口信息。
通过SUPI关联N4接口、N11接口以及N14接口会话相关事件的关联关键信息，以记录各个流程中间的失败情况和失败原因。
在步骤403中，切换流程填写各个流程学习到的号码、国际移动设备识别码(International Mobile Equipment Identity，IMEI)等信息，生成完整端到端切换流程事件记录，所有信息合成完整的5G切换端到端事件记录。
图5为本申请实现信息关联的装置的组成结构示意图，如图5所示，至少包括：采集模块以及处理模块；其中，
采集模块，设置为采集网元自身和网元之间交互的信息；
处理模块，设置为根据采集到的信息和预先设置的关联关键信息进行关联学习，生成包括业务相关信息的端到端业务记录。
在一种示例性实例中，采集模块可以包括多个，分布在下一代移动通信网络如5G网络的网元之间的接口处。
在一种示例性实例中，处理模块设置为：
利用关联关键信息在采集到的信息中匹配，找到与关联关键信息匹配的信息；合并匹配到的信息以形成包括所述业务相关信息的端到端业务记录。
在一种示例性实例中，网元包括但不限于如：
UE、gNB、AMF、SMF、UPF、AUSF、UDM网元等。
在一种示例性实例中，网元之间交互的信息包括但不限于：
网元之间交换的信令、网元自身的无线测量报告等。
通过本申请实现信息关联的装置，为下一代移动通信***的智能运维提供可靠的数据支撑，特别地，为5G端到端智能运维提供了数据支撑。

Claims (11)

  1. 一种实现信息关联的方法，包括：
    采集网元自身和网元之间交互的信息；
    根据采集到的信息和预先设置的关联关键信息进行关联学习，生成包括业务相关信息的端到端业务记录。
  2. 根据权利要求1所述的方法，其中，所述根据采集到的信息和预先设置的关联关键信息进行关联学习，生成包括业务相关信息的端到端业务记录，包括：
    利用所述关联关键信息在采集到的信息中匹配，找到与所述关联关键信息匹配的信息；
    合并匹配到的信息以形成所述包括业务相关信息的端到端业务记录。
  3. 根据权利要求1或2所述的方法，其中，不同所述网元之间的关联关键信息不同或相同。
  4. 根据权利要求1或2所述的方法，其中，在第五代移动通信5G网络中，所述网元包括：
    用户终端UE、5G新接口基站gNB、接入和移动性管理功能AMF、会话管理功能SMF、用户面功能UPF、鉴权服务功能AUSF以及统一数据管理UDM。
  5. 根据权利要求1或2所述的方法，其中，在5G网络中，所述网元之间的接口和所述网元的测量报告包括：
    使用非接入层NAS协议的UE和AMF之间的N1接口；
    使用NG应用协议NGAP的gNB和AMF之间的N2接口；
    使用GPRS隧道协议GTP用户面协议GTP-U的gNB和UPF之间的N3接口；
    使用超文本传输协议HTTP/2的SMF和UPF之间的N4接口；
    使用GTP-U协议的UPF之间的N9接口；
    使用HTTP/2协议的AMF和SMF之间的N11接口；
    使用HTTP/2协议的AMF和AUSF之间的N12接口；
    使用HTTP/2协议的AMF和AMF之间的N14接口；
    使用无线资源控制RRC协议的UE和gNB之间的Uu接口；
    使用Xn接口应用协议XnAP的gNB之间的Xn接口；
    gNB中央处理单元gNB-CU和gNB分布式处理单元gNB-DU之间的F1接口，所述F1接口使用F1接口应用协议F1AP；
    gNB中央处理单元-控制面gNB-CU-CP和gNB中央处理单元-用户面gNB-CU-UP之间的E1接口，所述E1接口使用E1接口应用协议E1AP；
    gNB-CU-UP的测量报告；
    gNB-DU的测量报告。
  6. 根据权利要求1或2所述的方法，其中，在5G网络中，所述方法应用于以下之一或任意组合：
    根据所述预先设置的关联关键信息，对N1接口的话单记录、N2接口的话单记录和N12接口的话单记录进行所述关联学习，获取用户的用户永久标识符SUPI信息；利用获得的SUPI作为关联关键信息进行后续端到端关联学习，生成所述包括业务相关信息的端到端业务记录；
    根据所述预先设置的关联关键信息，对N1接口的话单记录、N2接口的话单记录和N11接口的话单记录进行所述关联学习，获取用户的SUPI信息；利用获得的SUPI作为关联关键信息进行后续端到端关联学习，生成所述包括业务相关信息的端到端业务记录；
    根据所述预先设置的关联关键信息，根据从N1接口、N2接口、N3接口、N9接口、N11接口、N12接口、N14接口采集的信令信息，以及gNB采集的Uu接口、Xn接口、E1接口、F1接口的信令以及无线测量报告，关联学习到包括用户SUPI、位置、终端、经纬度、计费信息的所述端到端业务记录；
    根据所述预先设置的关联关键信息，根据从N1接口、N2接口、N3接口、N9接口、N11接口、N12接口、N14接口采集的信令信息，以及gNB采集的Uu接口、Xn接口、E1接口、F1接口的信令以及无线测量报告，关联学习得到 包括注册过程相关信息、切换过程相关信息、会话管理、无线质量信息以及其他5G重要事件流程的所述端到端业务记录。
  7. 根据权利要求1、2或6所述的方法，其中，所述关联关键信息包括：
    SUPI、国际移动用户识别码IMSI、用户号码、IP地址、以及各类标识ID。
  8. 一种计算机可读存储介质，所述计算机可读存储介质存储有计算机可执行指令，所述计算机可执行指令用于执行权利要求1～权利要求7任一项所述的实现信息关联的方法。
  9. 一种实现信息关联的装置，包括处理器以及存储器；其中，所述存储器上存储有可在所述处理器上运行的计算机程序，所述计算机程序被所述处理器执行时，实现权利要求1～权利要求7任一项所述的实现信息关联的方法。
  10. 一种实现信息关联的装置，包括：采集模块以及处理模块；其中，
    所述采集模块，设置为采集网元自身和网元之间交互的信息；
    所述处理模块，设置为根据采集到的信息和预先设置的关联关键信息进行关联学习，生成包括业务相关信息的端到端业务记录。
  11. 根据权利要求10所述的装置，其中，处理模块设置为：
    利用所述关联关键信息在采集到的信息中匹配，找到与所述关联关键信息匹配的信息；合并匹配到的信息以形成包括所述业务相关信息的端到端业务记录。
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