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WO2024230239A1 - Procédé, dispositif et produit-programme informatique pour communication sans fil - Google Patents

Procédé, dispositif et produit-programme informatique pour communication sans fil Download PDF

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Publication number
WO2024230239A1
WO2024230239A1 PCT/CN2024/072153 CN2024072153W WO2024230239A1 WO 2024230239 A1 WO2024230239 A1 WO 2024230239A1 CN 2024072153 W CN2024072153 W CN 2024072153W WO 2024230239 A1 WO2024230239 A1 WO 2024230239A1
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WIPO (PCT)
Prior art keywords
information
analytics
node
interoperability
wireless communication
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PCT/CN2024/072153
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English (en)
Inventor
Yuang FENG
Menghan WANG
Jinguo Zhu
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ZTE Corp
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ZTE Corp
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Priority to PCT/CN2024/072153 priority Critical patent/WO2024230239A1/fr
Publication of WO2024230239A1 publication Critical patent/WO2024230239A1/fr
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/16—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W8/00—Network data management

Definitions

  • This document is directed generally to wireless communications, and in particular to 5 th generation (5G) communications or 6 th generation (6G) communications.
  • NWDAF Network Data Analytics Function
  • 5GC 5G Core
  • NF Network Function
  • This document relates to methods, systems, and computer program products for a wireless communication.
  • the wireless communication method includes: receiving, by a repository node from a network node, a request for information of one or more data analytics nodes for an analytics identifier; and transmitting, by the repository node to the network node, the information of one or more data analytics nodes based on interoperability information for the analytics identifier, wherein the interoperability information for the analytics identifier comprises information for different levels of interoperability.
  • the interoperability information comprises at least one of:
  • the request for the information of one or more data analytics nodes for the analytics identifier comprises at least one of:
  • the analytics identifier indicates a load analytics performing a load analysis of a network function.
  • the wireless communication method further comprises: transmitting, by the repository node to the network node, information of one or more data analytics nodes having an identical level of interoperability for the network node.
  • the wireless communication method further comprises: transmitting the information of the one or more data analytics nodes, information of one or more data analytics nodes providing a first level of interoperability for the network node has a first priority, information of one or more data analytics nodes providing a second level of interoperability for the network node has a second priority, the first level of interoperability is higher than the second level of interoperability, and the first priority is higher than the second priority.
  • the wireless communication method further comprises: transmitting the information of the one or more data analytics nodes, one or more data analytics nodes having Machine Learning models fully interoperable for the network node takes precedence over one or more data analytics nodes having Machine Learning models partially interoperable for the network node, and one or more data analytics nodes having Machine Learning models partially interoperable for the network node takes precedence over one or more data analytics nodes having Machine Learning models not interoperable for the network node.
  • the wireless communication method further comprises: transmitting, by the repository node to the network node, information of data analytics nodes having different levels of interoperability for the network node.
  • the wireless communication method further comprises: receiving, by the repository node from a data analytics node, a request for updating the interoperability information.
  • the wireless communication method further comprises: transmitting, by a repository node to the target data analytics node, a response responding to a request for updating the interoperability information.
  • the wireless communication method further comprises: receiving, by the repository node from a data analytics node, a network function profile comprising information of different levels of interoperability for the data analytics node.
  • the wireless communication method includes: transmitting, by a network node to a repository node, a request for information of one or more data analytics nodes for an analytics identifier; and receiving, by the network node from the repository node, the information of one or more data analytics nodes based on interoperability information for the analytics identifier, wherein the interoperability information for the analytics identifier comprises information for different levels of interoperability.
  • the interoperability information comprises at least one of:
  • the request for the information of one or more data analytics nodes for the analytics identifier comprises at least one of:
  • the analytics identifier indicates a load analytics performing a load analysis of a network function.
  • the wireless communication method further comprises: receiving, by the network node from the repository node, information of one or more data analytics nodes having an identical level of interoperability for the network node.
  • the wireless communication method further comprises: receiving, by the network node from the repository node, information of data analytics nodes having different levels of interoperability for the network node.
  • the wireless communication method further comprises: transmitting, by the network node to a target data analytics node based on the information of one or more data analytics nodes, a request for information of one or more models in the target data analytics node.
  • the request for the information of the one or more models in the target data analytics node comprises one or more predictions within the analytics identifier.
  • the network node refrains from sending a request for information of one or more models to one or more data analytics nodes having models for the analytics identifier that are not interoperable for the network node.
  • the wireless communication method further comprises: receiving, by the network node from a target data analytics node, a response responding a request for information of one or more models in the target data analytics node.
  • the response responding to the request for the information of one or more models from the data analytics node comprises at least one of:
  • rejection indications rejecting one or more requested predictions.
  • the wireless communication method includes: receiving, by a data analytics node from a network node, a request for a service associated with an analytics identifier, wherein the request for the service is transmitted by the network node based on interoperability information for the analytics identifier, and wherein the interoperability information for the analytics identifier comprises information for different levels of interoperability.
  • the interoperability information comprises at least one of:
  • the wireless communication method further comprises: receiving, by the data analytics node from the network node, a request for information of one or more models in the data analytics node.
  • the request for the information of models from the data analytics node comprises one or more predictions within the analytics identifier.
  • the wireless communication method further comprises: transmitting, by the data analytics node to the network node, a response responding a request for information of one or more models in the data analytics node.
  • the response responding the request for information of one or more models in the data analytics node comprises at least one of:
  • one or more indications rejecting one or more requested predictions.
  • the wireless communication method further comprises: transmitting, by the data analytics node to the repository node, a request for updating the interoperability information.
  • the wireless communication method further comprises: receiving, by the data analytics node from the repository node, a response responding to a request for updating the interoperability information.
  • the wireless communication method further comprises: transmitting, by the data analytics node to the repository node, a network function profile comprising information of different levels of interoperability for the data analytics node.
  • the repository node includes a communication unit and a processor.
  • the processor is configured to: receive, via the communication unit from the network node, a request for information of one or more data analytics nodes for an analytics identifier; and transmit, via the communication unit to the network node, the information of one or more data analytics nodes based on interoperability information for the analytics identifier, wherein the interoperability information for the analytics identifier comprises information for different levels of interoperability.
  • the network node includes a communication unit and a processor.
  • the processor is configured to: transmit, via the communication unit to a repository node, a request for information of one or more data analytics nodes for an analytics identifier; and receive, via the communication unit from the repository node, the information of one or more data analytics nodes based on interoperability information for the analytics identifier, wherein the interoperability information for the analytics identifier comprises information for different levels of interoperability.
  • the data analytics node includes a communication unit and a processor.
  • the processor is configured to: receive, via the communication unit from a network node, a request for a service associated with an analytics identifier, wherein the request for the service is transmitted by the network node based on interoperability information for the analytics identifier, and wherein the interoperability information for the analytics identifier comprises information for different levels of interoperability.
  • the present disclosure relates to a computer program product comprising a computer-readable program medium code stored thereupon, the code, when executed by a processor, causing the processor to implement a wireless communication method recited in any one of foregoing methods.
  • the present disclosure is not limited to the exemplary embodiments and applications described and illustrated herein. Additionally, the specific order and/or hierarchy of steps in the methods disclosed herein are merely exemplary approaches. Based upon design preferences, the specific order or hierarchy of steps of the disclosed methods or processes can be re-arranged while remaining within the scope of the present disclosure. Thus, those of ordinary skill in the art will understand that the methods and techniques disclosed herein present various steps or acts in a sample order, and the present disclosure is not limited to the specific order or hierarchy presented unless expressly stated otherwise.
  • FIG. 1 shows a schematic diagram of a network according to an embodiment of the present disclosure.
  • FIG. 2 shows a schematic diagram of a network according to an embodiment of the present disclosure.
  • FIG. 3 shows a schematic diagram of a network according to an embodiment of the present disclosure.
  • FIG. 4 shows a schematic diagram of a network according to an embodiment of the present disclosure.
  • FIG. 5 shows a schematic diagram of a network according to an embodiment of the present disclosure.
  • FIG. 6 shows a schematic diagram of interoperable information according to an embodiment of the present disclosure.
  • FIG. 7 shows a schematic diagram of a procedure according to an embodiment of the present disclosure.
  • FIG. 8 shows a schematic diagram of a procedure according to an embodiment of the present disclosure.
  • FIG. 9 shows a schematic diagram of a procedure according to an embodiment of the present disclosure.
  • FIG. 10 shows an example of a schematic diagram of a wireless communication terminal according to an embodiment of the present disclosure.
  • FIG. 11 shows an example of a schematic diagram of a wireless communication node according to an embodiment of the present disclosure.
  • FIGS. 12 to 14 show flowcharts of wireless communication methods according to some embodiments of the present disclosure.
  • the interoperability indicator which indicates whether a Network Data Analytics Function (NWDAF) is willing to share the models (to facilitate the description, machine learning (ML) models will be taken as examples in the present disclosure, but the present disclosure is not limited thereto) therein, may designed as ‘per analytics’ .
  • One analytics e.g., analytics ID, analytics function
  • the model producer may only want to share some of the models in one analytic. In such cases, the interoperability indicator indicating whether a NWDAF is willing to share the trained machine learning models may not be sufficient.
  • Some embodiments of the present disclosure provide a procedure for controlling or managing the model sharing.
  • FIG. 1 shows the architecture of the 5G system.
  • this architecture there are the following functions:
  • UE User Equipment
  • the RAN manages the radio resource and delivers the user data received over N3 to the UE and delivers the user data from the UE over the N3 interface.
  • the RAN performs mapping between Dedicated Radio Bearers (DRBs) and the Quality of Service (QoS) flows in the Packet Data Unit (PDU) session.
  • DRBs Dedicated Radio Bearers
  • QoS Quality of Service
  • AMF Access and Mobility Management function
  • This function includes the following functionalities: Registration management, Connection management, Reachability management and Mobility Management. This function also performs access authentication and access authorization.
  • the AMF is the NAS security termination and relays the SM NAS between UE and SMF, etc.
  • SMF Session Management Function
  • This function includes the following functionalities: session establishment, modification and release, UE Internet Protocol (IP) address allocation &management (including optional authorization functions) , selection and control of UP function, downlink data notification, etc.
  • IP Internet Protocol
  • the SMF controls the UPF via the N4 association.
  • the SMF provides the Packet Detection Rule (PDR) to the UPF to instruct how to detect user data traffic, Forwarding Action Rule (FAR) , QoS Enforcement Rule QER and Usage Reporting Rule (URR) to instruct the UPF how to perform the user data traffic forwarding, QoS handling and usage reporting for the user data traffic detected by using the PDR.
  • PDR Packet Detection Rule
  • FAR Forwarding Action Rule
  • URR Usage Reporting Rule
  • UPF User plane function
  • This function includes the following functionalities: serving as an anchor point for intra-/inter-radio access technology (RAT) mobility, packet routing &forwarding, traffic usage reporting, QoS handling for the user plane, downlink packet buffering and/or downlink data notification triggering, etc.
  • GTP-U tunnel is used over the N3 interface between the RAN and the UPF. The GTP-U tunnel is per PDU session.
  • the UPF binds the downlink traffic to QoS flows within the GTP-U tunnel of the PDU session by using the FARs received from SMF.
  • the RAN transfers the user plane traffic to QoS flows identified by the UE.
  • PCF Policy Control Function
  • the PCF provides QoS policy rules to control plane functions to enforce the rules.
  • the PCF (s) transform (s) the AF requests into PCC rules that apply to PDU Sessions.
  • UDM Unified Data Management
  • the UDM performs the generation of the 3GPP Authentication and Key Agreement (AKA) Authentication Credential, access authorization based on subscription data, UE's Serving Network Function (NF) Registration Management (e.g., storing serving the AMF for the UE and/or storing serving SMF for UE's PDU Session) and Subscription management, etc.
  • AKA 3GPP Authentication and Key Agreement
  • NF Serving Network Function
  • the UDM accesses the Unified Data Repository (UDR) to retrieve the UE subscription data and store the UE context in the UDR.
  • the UDM and the UDR may be deployed together.
  • the NWDAF is a 5GC NF located on the control plane and performs statistical data analysis (i.e., the distribution information of the datasets) and machine learning-related tasks in 5G System (5GS) .
  • the NWDAF may interact with at least one of the following different entities for different purposes:
  • AMF Access Management Function
  • SMF Session Management Function
  • UPF Policy and Charging Function
  • PCF Policy and Charging Function
  • UDM Network Exposure Function
  • NSACF Analytics Function
  • AF Directly or via Network Exposure Function (NEF)
  • OAM Operations, Administration and Maintenance
  • DCCF Data Collection Coordination Function
  • ADRF Analytics Data Repository Function
  • NFs e.g., from the Network function Repository Function (NRF) for NF-related information
  • NRF Network function Repository Function
  • NWDAF may be deployed in a Public Land Mobile Network (PLMN) .
  • PLMN Public Land Mobile Network
  • An NWDAF may contain the following logical functions:
  • AnLF Analytics logical function
  • NWDAF NWDAF
  • analytics information i.e., derives statistics and/or predictions based on the Analytics Consumer request
  • analytics service i.e., the Nnwdaf_AnalyticsSubscription or the Nnwdaf_AnalyticsInfo
  • MTLF Model Training logical function
  • a NWDAF can contain an MTLF, an AnLF or both logical functions.
  • the Data Collection Coordination and Function is also an NF on the control plane of 5GC.
  • the DCCF coordinates the collection and distribution of data requested by NF consumers. It prevents data sources from having to handle multiple subscriptions for the same data and sends multiple notifications containing the same information due to uncoordinated requests from data consumers.
  • the DCCF is applicable to:
  • NWDAFs that request data from a Data Source (e.g., for use in computing analytics) ;
  • FIG. 2 and FIG. 4 illustrate two data collection architectures by the NWDAF to enable data analysis and model training according to some embodiments of the present disclosure.
  • FIG. 3 and FIG. 5 show two possible network data analytics exposure architectures for any NF consumer who subscribes or requests the analytics according to some embodiments of the present disclosure.
  • the ML Model interoperability indicator (also referred to as interoperability indicator or model interoperability indicator in the present disclosure) of an NWDAF containing an MTLF comprises a list of NWDAF providers (vendors) that are allowed to retrieve ML models from this NWDAF.
  • the interoperability indicator also indicates that the NWDAF containing the MTLF supports the interoperable ML models to be requested by the NWDAFs from the vendors in the list of the NWDAF providers.
  • an NWDAF may have different interoperability indicators for different analytics IDs (e.g., analytics functions) .
  • the model interoperability indicator per analytics ID is one of the NF profile parameters of the NWDAF which may be considered by the NF for the NWDAF selection through the NRF.
  • interoperability per analytics ID there are different categories of interoperability per analytics ID, such as ML models are fully interoperable, ML models are partially interoperable, and ML models not interoperable.
  • FIG. 6 illustrates an example of different interoperability (e.g., (interoperability indicators) according to an embodiment of the present disclosure.
  • the NWDAF A has an ability to generate several models to perform NF load related analysis and predictions.
  • FIG. 7 illustrates a schematic diagram of an NWDAF registration procedure according to an embodiment of the present disclosure.
  • the procedure may include at least one of the following operations.
  • the NWDAF sends a message (e.g., the Nnrf_NFManagement_NFRegister Request message) to the NRF to inform the NRF of the NF profile of the NWDAF.
  • the NWDAF sends the message (e.g., the Nnrf_NFManagement_NFRegister Request message) to the NRF when the NF service consumer becomes operative for the first time.
  • the NF profile may include the ML model interoperability information per analytics ID.
  • the ML model interoperability information for an analytics ID may include at least one of: information of one or more vendors and/or NFs (e.g., one or more vendor IDs and/or NF IDs) fully interoperable to the ML model (s) in this NWDAF (e.g., the one or more vendors and/or NFs can fully access all ML model (s) in this NWDAF) , information of one or more vendors and/or NFs (e.g., one or more vendor IDs and/or NF IDs) partially interoperable to the ML model (s) in this NWDAF (e.g., the one or more vendors and/or NFs can access partial of the ML model (s) in this NWDAF) and/or information of one or more vendors and/or NFs (e.g.,
  • the NRF stores the NF profile of the NWDAF.
  • the NRF may mark the NWDAF available.
  • the NRF acknowledges that the NWDAF Registration is accepted via a response message (e.g., the Nnrf_NFManagement_NFRegister response) .
  • FIG. 8 illustrates a schematic diagram of a procedure for an NWDAF updating the NF profile according to an embodiment of the present disclosure.
  • the procedure may include at least one of the following operations.
  • the NWDAF sends a message (e.g., the Nnrf_NFManagement_NFUpdate Request message) (e.g., including the updated NF profile of the NWDAF) to the NRF to inform the NRF of the updated NF profile of the NWDAF (e.g., with the updated capacity) .
  • the NWDAF sends the Nnrf_NFManagement_NFUpdate Request message to the NRF to inform the NRF of the updated NF profile of the NWDAF when triggered after a scaling operation.
  • the NWDAF may update the information of one or more vendors and/or NFs (e.g., one or more vendor IDs and/or NF IDs) in one or more categories of interoperability for one or more analytics IDs.
  • the NWDAF may update at least one of: information of one or more vendors and/or NFs fully interoperable to the ML model (s) for certain analytics ID (s) in this NWDAF, information of one or more vendors and/or NFs partially interoperable to the ML model (s) for certain analytics ID (s) in this NWDAF, and/or information of one or more vendors and/or NFs not interoperable to the ML model (s) for certain analytics ID(s) in this NWDAF.
  • the NWDAF can downgrade any vendor (e.g., from partially interoperable to not interoperable for one or more analytics IDs) by updating the interoperability indicator.
  • the NWDAF can downgrade any vendor if the NWDAF considers that the vendor shares the model file address of the model in the NWDAF to a third party.
  • the NWDAF can upgrade any vendor, if the vendor is trustworthy.
  • the NRF updates the NF profile of the NWDAF.
  • the NRF acknowledges that the NWDAF Update is accepted via a response message (e.g., the Nnrf_NFManagement_NFUpdate response) .
  • the NWDAF service consumer could discover the NWDAF through the NRF to obtain ML model (s) .
  • FIG. 9 illustrates a schematic diagram of a procedure according to an embodiment of the present disclosure.
  • the procedure may include at least one of the following operations.
  • the NWDAF service consumer e.g., NF and/or OAM intends to obtain one or more ML model (s) for a particular analytics ID.
  • the NWDAF service consumer then sends a discovery request (e.g., comprising at least one of the vendor ID of the NWDAF service consumer, the NF ID of the NWDAF service consumer and/or the analytics ID) to the NRF.
  • a discovery request e.g., comprising at least one of the vendor ID of the NWDAF service consumer, the NF ID of the NWDAF service consumer and/or the analytics ID
  • the NRF transmits a response responding the discovery request.
  • the NRF uses the vendor ID (and/or the NF ID) and analytics ID to search the available NWDAFs that are willing to provide the NWDAF service consumer with the ML model (s) related to the requested analytics ID in the Step 1.
  • the NRF search the available NWDAFs that are willing to provide the NWDAF service consumer with the ML model (s) related to the requested analytics ID based on the interoperability information received from the NWDAFs. There are some options for the NRF in this step.
  • the NRF returns information of NWDAFs (e.g., a list of NWDAF IDs) that belong to one category (e.g., one of the fully interoperable, partially interoperable, not interoperable) .
  • the list of NWDAFs that are fully interoperable takes precedence over partially interoperable.
  • the list of partially interoperable NWDAFs takes precedence over not interoperable.
  • the NRF determines that NWDAF 1 and NWDAF 2 can provide models for the requested analytics ID that are fully interoperable to the NWDAF service consumer, and NWDAF 3 and NWDAF 4 can provide models for the requested analytics ID that are partially interoperable to the NWDAF service consumer, the NRF determines that NWDAF 1 and NWDAF 2 have a higher priority than which of the NWDAF 3 and NWDAF 4 in providing the available NWDAFs to the NWDAF service consumer. The NRF transmits the IDs of NWDAF 1 and NWDAF 2 to the NWDAF service consumer.
  • the NRF returns information of NWDAFs (e.g., lists of NWDAF IDs) that belong to all different categories (e.g., the fully interoperable, partially interoperable, not interoperable) .
  • NWDAFs e.g., lists of NWDAF IDs
  • the NRF transmits the IDs of NWDAF 1, NWDAF 2, NWDAF 3, and NWDAF 4 described above to the NWDAF service consumer.
  • the NWDAF service consumer may use the NWDAF ID to request (e.g., transmits a request) information of the ML model from a target NWDAF.
  • information e.g., interoperability indicator
  • the NWDAF service consumer may use the NWDAF ID to request (e.g., transmits a request) information of the ML model from a target NWDAF.
  • the NWDAF service consumer may specify one or more prediction (s) within the same analytics ID (e.g., the prediction of the UE Location and/or the prediction of UE’s geographical distribution in the analytics of the ‘UE mobility’ ) that the NWDAF service consumer want to obtain.
  • the NWDAF service consumer may specify one or more prediction (s) within the same analytics ID (e.g., the prediction of the UE Location and/or the prediction of UE’s geographical distribution in the analytics of the ‘UE mobility’ ) that the NWDAF service consumer want to obtain.
  • the NWDAF service consumer may refrain from sending a request to the NWDAF vendor which is not interoperable for the analytics ID it sent to the NRF in Step 1.
  • the service consumer may respond with model file addresses.
  • the service consumer can generate all the requested predictions. If the service consumer is in the partially interoperable list, it can reject one or more requests of predictions.
  • the target NWDAF can update its interoperability information (e.g., the interoperability indicator) .
  • the update is substantially identical to the procedure described in Aspect 3 above.
  • the interoperability indicator per analytic ID may include different levels/categories, such as ML models fully interoperable, ML models partially interoperable and ML models not interoperable.
  • the NWDAF may perform at least one of:
  • model sharing e.g., sharing ML model file address to the NWDAF service consumer
  • interoperability indicator it reported to the NRF
  • the NWDAF service consumer e.g., NF, OAM
  • FIG. 10 relates to a diagram of a wireless communication terminal 30 according to an embodiment of the present disclosure.
  • the wireless communication terminal 30 may be a tag, a mobile phone, a laptop, a tablet computer, an electronic book or a portable computer system and is not limited herein.
  • the wireless communication terminal 30 may be used to implement the UE described in this disclosure.
  • the wireless communication terminal 30 may include a processor 300 such as a microprocessor or Application Specific Integrated Circuit (ASIC) , a storage unit 310 and a communication unit 320.
  • the storage unit 310 may be any data storage device that stores a program code 312, which is accessed and executed by the processor 300.
  • Embodiments of the storage unit 310 include but are not limited to a subscriber identity module (SIM) , read- only memory (ROM) , flash memory, random-access memory (RAM) , hard-disk, and optical data storage device.
  • SIM subscriber identity module
  • ROM read- only memory
  • RAM random-access memory
  • the communication unit 320 may a transceiver and is used to transmit and receive signals (e.g., messages or packets) according to processing results of the processor 300.
  • the communication unit 320 transmits and receives the signals via at least one antenna 322 or via wiring.
  • the storage unit 310 and the program code 312 may be omitted and the processor 300 may include a storage unit with stored program code.
  • the processor 300 may implement any one of the steps in exemplified embodiments on the wireless communication terminal 30, e.g., by executing the program code 312.
  • the communication unit 320 may be a transceiver.
  • the communication unit 320 may as an alternative or in addition be combining a transmitting unit and a receiving unit configured to transmit and to receive, respectively, signals to and from a wireless communication node.
  • the wireless communication terminal 30 may be used to perform the operations of the UE described in this disclosure.
  • the processor 300 and the communication unit 320 collaboratively perform the operations described in this disclosure. For example, the processor 300 performs operations and transmit or receive signals, message, and/or information through the communication unit 320.
  • FIG. 11 relates to a diagram of a wireless communication node 40 according to an embodiment of the present disclosure.
  • the wireless communication node 40 may be a satellite, a base station (BS) , a gNB, a network entity, a Domain Name System (DNS) server, a Mobility Management Entity (MME) , Serving Gateway (S-GW) , Packet Data Network (PDN) Gateway (P-GW) , a radio access network (RAN) , a next generation RAN (NG-RAN) , a data network, a core network, a communication node in the core network, or a Radio Network Controller (RNC) , and is not limited herein.
  • BS base station
  • gNB a network entity
  • DNS Domain Name System
  • MME Mobility Management Entity
  • S-GW Serving Gateway
  • PDN Packet Data Network Gateway
  • RAN radio access network
  • NG-RAN next generation RAN
  • RNC Radio Network Controller
  • the wireless communication node 40 may include (perform) at least one network function such as an access and mobility management function (AMF) , a session management function (SMF) , a user plane function (UPF) , a policy control function (PCF) , an application function (AF) , etc.
  • the wireless communication node 40 may be used to implement the NRF, the OAM, the NF, or the NWDAF described in this disclosure.
  • the wireless communication node 40 may include a processor 400 such as a microprocessor or ASIC, a storage unit 410 and a communication unit 420.
  • the storage unit 410 may be any data storage device that stores a program code 412, which is accessed and executed by the processor 400.
  • the storage unit 410 examples include but are not limited to a SIM, ROM, flash memory, RAM, hard-disk, and optical data storage device.
  • the communication unit 420 may be a transceiver and is used to transmit and receive signals (e.g., messages or packets) according to processing results of the processor 400. In an embodiment, the communication unit 420 transmits and receives the signals via at least one antenna 422 or via wiring.
  • the storage unit 410 and the program code 412 may be omitted.
  • the processor 400 may include a storage unit with stored program code.
  • the processor 400 may implement any steps described in exemplified embodiments on the wireless communication node 40, e.g., via executing the program code 412.
  • the communication unit 420 may be a transceiver.
  • the communication unit 420 may as an alternative or in addition be combining a transmitting unit and a receiving unit configured to transmit and to receive, respectively, signals, messages, or information to and from a wireless communication node or a wireless communication terminal.
  • the wireless communication node 40 may be used to perform the operations of the NRF, the NWDAF service consumer or the NWDAF described in this disclosure.
  • the processor 400 and the communication unit 420 collaboratively perform the operations described in this disclosure. For example, the processor 400 performs operations and transmit or receive signals through the communication unit 420.
  • a wireless communication method is provided according to an embodiment of the present disclosure.
  • the wireless communication method may be performed by using a wireless communication node (e.g., an NRF) .
  • the wireless communication node may be implemented by using the wireless communication node 40 described in this disclosure, but is not limited thereto.
  • the wireless communication method includes receiving, by a repository node from a network node, a request for information of one or more data analytics nodes for an analytics identifier; and transmitting, by the repository node to the network node, the information of one or more data analytics nodes based on interoperability information for the analytics identifier, wherein the interoperability information for the analytics identifier comprises information for different levels of interoperability.
  • a wireless communication method is provided according to an embodiment of the present disclosure.
  • the wireless communication method may be performed by using a wireless communication node (e.g., an NWDAF service consumer) .
  • the wireless communication node may be implemented by using the wireless communication node 40 described in this disclosure, but is not limited thereto.
  • the wireless communication method includes transmitting, by a network node to a repository node, a request for information of one or more data analytics nodes for an analytics identifier; and receiving, by the network node from the repository node, the information of one or more data analytics nodes based on interoperability information for the analytics identifier, wherein the interoperability information for the analytics identifier comprises information for different levels of interoperability.
  • a wireless communication method is provided according to an embodiment of the present disclosure.
  • the wireless communication method may be performed by using a wireless communication node (e.g., an NWDAF) .
  • the wireless communication node may be implemented by using the wireless communication node 40 described in this disclosure, but is not limited thereto.
  • the wireless communication method includes receiving, by a data analytics node from a network node, a request for a service associated with an analytics identifier, wherein the request for the service is transmitted by the network node based on interoperability information for the analytics identifier, and wherein the interoperability information for the analytics identifier comprises information for different levels of interoperability.
  • the repository node used in the present disclosure may indicate the NRF described above.
  • the network node used in the present disclosure may indicate the NWDAF service consumer described above.
  • the data analytics node used in the present disclosure may indicate the NWDAF described above.
  • a and/or B and/or C includes any and all combinations of one or more of A, B, and C, including A, B, C, A and B, A and C, B and C, and a combination of A and B and C.
  • A/B/C includes any and all combinations of one or more of A, B, and C, including A, B, C, A and B, A and C, B and C, and a combination of A and B and C.
  • any reference to an element herein using a designation such as “first, “ “second, “ and so forth does not generally limit the quantity or order of those elements. Rather, these designations can be used herein as a convenient means of distinguishing between two or more elements or instances of an element. Thus, a reference to first and second elements does not mean that only two elements can be employed, or that the first element must precede the second element in some manner.
  • any one of the various illustrative logical blocks, units, processors, means, circuits, methods and functions described in connection with the aspects disclosed herein can be implemented by electronic hardware (e.g., a digital implementation, an analog implementation, or a combination of the two) , firmware, various forms of program or design code incorporating instructions (which can be referred to herein, for convenience, as "software” or a “software unit” ) , or any combination of these techniques.
  • a processor, device, component, circuit, structure, machine, unit, etc. can be configured to perform one or more of the functions described herein.
  • IC integrated circuit
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • the logical blocks, units, and circuits can further include antennas and/or transceivers to communicate with various components within the network or within the device.
  • a general-purpose processor can be a microprocessor, but in the alternative, the processor can be any conventional processor, controller, or state machine.
  • a processor can also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other suitable configuration to perform the functions described herein. If implemented in software, the functions can be stored as one or more instructions or code on a computer-readable medium. Thus, the steps of a method or algorithm disclosed herein can be implemented as software stored on a computer-readable medium.
  • Computer-readable media includes both computer storage media and communication media including any medium that can be enabled to transfer a computer program or code from one place to another.
  • a storage media can be any available media that can be accessed by a computer.
  • such computer-readable media can include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired program code in the form of instructions or data structures and that can be accessed by a computer.
  • unit refers to software, firmware, hardware, and any combination of these elements for performing the associated functions described herein. Additionally, for purpose of discussion, the various units are described as discrete units; however, as would be apparent to one of ordinary skill in the art, two or more units may be combined to form a single unit that performs the associated functions according to embodiments of the present disclosure.
  • memory or other storage may be employed in embodiments of the present disclosure.
  • memory or other storage may be employed in embodiments of the present disclosure.
  • any suitable distribution of functionality between different functional units, processing logic elements or domains may be used without detracting from the present disclosure.
  • functionality illustrated to be performed by separate processing logic elements, or controllers may be performed by the same processing logic element, or controller.
  • references to specific functional units are only references to a suitable means for providing the described functionality, rather than indicative of a strict logical or physical structure or organization.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

Il est divulgué un procédé de communication sans fil. Ce procédé comprend la réception, par un noeud de référentiel en provenance d'un noeud de réseau, d'une demande d'informations relatives à un ou plusieurs noeuds d'analyse de données concernant un identifiant analytique ; et la transmission, par le noeud de référentiel au noeud de réseau, des informations relatives à un ou plusieurs noeuds d'analyse de données sur la base d'informations d'interopérabilité pour l'identifiant analytique, les informations d'interopérabilité pour l'identifiant analytique comprenant des informations pour différents niveaux d'interopérabilité.
PCT/CN2024/072153 2024-01-12 2024-01-12 Procédé, dispositif et produit-programme informatique pour communication sans fil Pending WO2024230239A1 (fr)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114365527A (zh) * 2019-09-06 2022-04-15 三星电子株式会社 用于无线通信系统中的网络自动化的装置和方法
WO2023004671A1 (fr) * 2021-07-29 2023-02-02 Qualcomm Incorporated Solution de collecte de données directes provenant d'un réseau central vers un réseau d'accès radio
CN116193441A (zh) * 2023-01-10 2023-05-30 华为技术有限公司 一种通信方法、通信装置和通信系统
WO2023141985A1 (fr) * 2022-01-28 2023-08-03 华为技术有限公司 Procédé et appareil de communication
CN116723537A (zh) * 2023-06-07 2023-09-08 中国联合网络通信集团有限公司 一种基于nwdaf的数据分析方法、装置及可读存储介质

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114365527A (zh) * 2019-09-06 2022-04-15 三星电子株式会社 用于无线通信系统中的网络自动化的装置和方法
WO2023004671A1 (fr) * 2021-07-29 2023-02-02 Qualcomm Incorporated Solution de collecte de données directes provenant d'un réseau central vers un réseau d'accès radio
WO2023141985A1 (fr) * 2022-01-28 2023-08-03 华为技术有限公司 Procédé et appareil de communication
CN116193441A (zh) * 2023-01-10 2023-05-30 华为技术有限公司 一种通信方法、通信装置和通信系统
CN116723537A (zh) * 2023-06-07 2023-09-08 中国联合网络通信集团有限公司 一种基于nwdaf的数据分析方法、装置及可读存储介质

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