WO2021013225A1 - Procédé et dispositif de mise en œuvre d'association d'informations - Google Patents

Procédé et dispositif de mise en œuvre d'association d'informations Download PDF

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Publication number
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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Prior art keywords
interface
information
gnb
association
business
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PCT/CN2020/103833
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English (en)
Chinese (zh)
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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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    • 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

La présente invention concerne un procédé et un dispositif de mise en œuvre d'association d'informations. Le procédé consiste à : acquérir des informations d'éléments de réseau eux-mêmes et des informations échangées entre des éléments de réseau ; effectuer un apprentissage d'association en fonction des informations acquises et des informations d'association clés prédéfinies, pour générer un enregistrement de service de bout en bout comprenant des informations relatives à un service.
PCT/CN2020/103833 2019-07-23 2020-07-23 Procédé et dispositif de mise en œuvre d'association d'informations WO2021013225A1 (fr)

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