WO2024055331A1 - Procédé et appareil de traitement d'informations, dispositif de communication et support d'enregistrement - Google Patents

Procédé et appareil de traitement d'informations, dispositif de communication et support d'enregistrement Download PDF

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Publication number
WO2024055331A1
WO2024055331A1 PCT/CN2022/119479 CN2022119479W WO2024055331A1 WO 2024055331 A1 WO2024055331 A1 WO 2024055331A1 CN 2022119479 W CN2022119479 W CN 2022119479W WO 2024055331 A1 WO2024055331 A1 WO 2024055331A1
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WIPO (PCT)
Prior art keywords
information
scheduling
network function
indication information
related operations
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PCT/CN2022/119479
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English (en)
Chinese (zh)
Inventor
吴锦花
沈洋
刘建宁
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Beijing Xiaomi Mobile Software Co Ltd
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Beijing Xiaomi Mobile Software Co Ltd
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Priority to PCT/CN2022/119479 priority Critical patent/WO2024055331A1/fr
Priority to CN202280003567.7A priority patent/CN118056393A/zh
Publication of WO2024055331A1 publication Critical patent/WO2024055331A1/fr
Anticipated expiration legal-status Critical
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/60—Network streaming of media packets

Definitions

  • the present disclosure relates to but is not limited to the field of communication technology, and in particular, to an information processing method and device, communication equipment and storage media.
  • Mobile media services cloud augmented reality (AR) or virtual reality (VR) and other extended reality (XR) services, cloud gaming services, video-based robots or drone remote control services, etc. , and will become the fifth generation mobile communication technology (5G) network to contribute increasingly higher traffic.
  • 5G fifth generation mobile communication technology
  • the 5G core network (5GS) system adopts a universal quality of service (Quality of Service, QoS) mechanism.
  • QoS Quality of Service
  • XR service data flow has the characteristics of high bandwidth, low latency and high reliability requirements, and needs to further match the QoS requirements of data units (for example, packet data units (Packet Data Unit, PDU)) and data sets in the data flow.
  • data units for example, packet data units (Packet Data Unit, PDU)
  • PDU Packet Data Unit
  • XRM multimedia extended reality
  • Embodiments of the present disclosure provide an information processing method and device, communication equipment, and storage media.
  • an information processing method is provided, which is executed by an application function (Application Function, AF), including:
  • the scheduling-related operations include at least one of the following: optimizing scheduling and selective packet loss.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • the method further includes:
  • sending the indication information to the first network function includes:
  • the parameters are used for the first network function to update QoS parameters.
  • sending indication information to the first network function includes one of the following:
  • Instruction information is sent to the first network function in the AF session modification process.
  • sending the indication information to the first network function includes:
  • NEF Network Exposure Function
  • the first network function is a Policy Control Function (PCF) or a Session Management Function (SMF); and/or the second network function is a User Plane Function (UPF). ).
  • PCF Policy Control Function
  • SMF Session Management Function
  • UPF User Plane Function
  • an information processing method is provided, executed by NEF, including:
  • the instruction information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results;
  • the scheduling-related operations include at least one of the following: optimizing scheduling and selecting sexual packet loss.
  • the method includes sending indication information to the first network function.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • receiving the indication information sent by the AF includes:
  • Send instruction information to the first network function including:
  • indication information is sent to the first network function.
  • receiving the indication information sent by the AF includes:
  • the method includes: based on the fact that there are multiple first network functions and based on the business group identification information and/or the user group identification information, determining a first network function that sends the indication information from the plurality of first network functions.
  • the method further includes at least one of the following:
  • UDR User Data Register
  • UDM Unified Data Management
  • AUSF Authentication Server Function
  • an information processing method executed by a first network function, including:
  • the scheduling-related operations include at least one of the following: optimized scheduling and selectivity Packet loss.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • receiving the indication information sent by the AF includes:
  • receiving indication information sent by the AF includes one of the following:
  • TSCTSF Time Sensitive Communication and Time Synchronization Function
  • the method includes: generating rule information based on the indication information; wherein the rule information is used to perform scheduling-related operations.
  • the method includes: performing scheduling-related operations based on the rule information.
  • the method includes at least one of the following:
  • the first network function is PCF
  • Generating rule information based on the instruction information includes: generating policy and charging control (Policy and Charging Control, PCC) rule information based on the instruction information.
  • Policy and Charging Control, PCC Policy and Charging Control
  • the method includes: sending PCC rule information to the SMF, where the PCC rule information is used by the SMF to determine QoS rule information.
  • the first network function is SMF
  • the method includes: based on the PCC rule information, generating QoS rule information mapped to the PCC rule information;
  • Sending rule information to the second network function includes: sending QoS rule information to the second network function.
  • receiving the indication information sent by the AF includes:
  • Receive request information carrying indication information sent by the AF where the request information also includes: status information of the UE or parameters used to determine the status information of the UE;
  • the method also includes: updating the QoS parameters based on the status information of the UE or the parameters used to determine the status information of the UE.
  • the second network function is UPF.
  • an information processing method is provided, executed by a second network function, including:
  • Receive rule information sent by the first network function where the rule information is used to perform scheduling-related operations on service data based on prediction results; the scheduling-related operations include at least one of the following: optimizing scheduling and selective packet loss.
  • the method includes: performing scheduling-related operations based on the rule information.
  • performing scheduling-related operations includes one of the following:
  • scheduling related operations are performed.
  • scheduling-related operations including at least one of the following:
  • the prediction result is a prediction analysis result of a Network Data Analytics Function (NWDAF) and/or an event notification result reported by a radio access network function node.
  • NWDAAF Network Data Analytics Function
  • the first network function is PCF or SMF; and/or the second network function is UPF.
  • receiving the rule information sent by the first network function includes: receiving QoS rule information sent by the SMF;
  • Perform scheduling-related operations based on rule information including: performing scheduling-related operations based on QoS rule information.
  • an information processing device including:
  • the first sending module is configured to send indication information to the first network function, where the indication information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on service data based on prediction results; scheduling-related operations Including at least one of the following: optimized scheduling and selective packet loss.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • the apparatus includes:
  • the first receiving module is configured to receive capability indication information sent by the user equipment UE;
  • the first processing module is configured to determine the demand indication information.
  • the first sending module is configured to send request information carrying indication information to the first network function, wherein the request information also includes status information of the UE or parameters used to determine the status information of the UE; wherein , the status information of the UE or the parameters used to determine the status information of the UE are used for the first network function to update the QoS parameters.
  • the first sending module is configured to perform one of the following:
  • Instruction information is sent to the first network function in the AF session modification process.
  • the first sending module is configured to send the indication information to the first network function through NEF.
  • the first network function is a Policy Control Function (PCF) or a Session Management Function (SMF); and/or the second network function is a User Plane Function (UPF). ).
  • PCF Policy Control Function
  • SMF Session Management Function
  • UPF User Plane Function
  • an information processing device including:
  • the second receiving module is configured to receive the indication information sent by the AF; wherein the indication information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results; the scheduling-related operations include at least the following: One: Optimize scheduling and selective packet loss.
  • the apparatus includes: a second sending module configured to send the indication information to the first network function.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • the second receiving module is configured to receive request information carrying indication information sent by the AF;
  • the second sending module is configured to send indication information to the first network function in response to the request indicated by the authorization request information.
  • the second receiving module is configured to receive request information carrying indication information sent by the AF; wherein the request information also includes service group identification information and/or user group identification information;
  • the device includes: a second processing module configured to determine a first network that sends the indication information from the plurality of first network functions based on the plurality of first network functions and based on the business group identification information and/or the user group identification information. Function.
  • the second sending module is configured to perform at least one of the following:
  • an information processing device including:
  • the third receiving module is configured to receive the indication information sent by the AF, where the indication information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results; the scheduling-related operations include at least the following: One: Optimize scheduling and selective packet loss.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • the third receiving module is configured to perform at least one of the following:
  • the third receiving module is configured to perform at least one of:
  • the apparatus includes: a third processing module configured to generate rule information based on the indication information; wherein the rule information is used to perform scheduling-related operations.
  • the apparatus includes: a third processing module configured to perform scheduling-related operations based on the rule information.
  • the third sending module is configured to perform at least one of the following:
  • the first network function is PCF
  • the third processing module is configured to generate PCC rule information based on the indication information.
  • the third sending module is configured to send the PCC rule information to the SMF, where the PCC rule information is used by the SMF to determine the QoS rule information.
  • the first network function is SMF
  • the third processing module is configured to generate QoS rule information mapped to the PCC rule information based on the PCC rule information;
  • the third sending module is configured to send QoS rule information to the second network function.
  • the third receiving module is configured to receive request information carrying indication information sent by the AF, where the request information also includes: status information of the UE or parameters used to determine the status information of the UE;
  • the third processing module is configured to update the QoS parameters based on the status information of the UE or the parameters used to determine the status information of the UE.
  • the second network function is UPF.
  • an information processing device including:
  • the fourth receiving module is configured to receive rule information sent by the first network function, where the rule information is used to perform scheduling-related operations on business data based on prediction results; scheduling-related operations include at least one of the following: optimized scheduling and selectivity Packet loss.
  • the apparatus includes: a fourth processing module configured to perform scheduling-related operations based on the rule information.
  • the fourth processing module is configured to perform one of the following:
  • scheduling related operations are performed.
  • the fourth processing module is configured to perform at least one of the following:
  • the prediction result is the prediction analysis result of NWDAF and/or the event notification result reported by the radio access network functional node.
  • the first network function is PCF or SMF; and/or the second network function is UPF.
  • the fourth receiving module is configured to receive the QoS rule information sent by the SMF;
  • the fourth processing module is configured to perform scheduling-related operations based on the QoS rule information.
  • a communication device includes:
  • Memory used to store instructions executable by the processor
  • the processor is configured to implement the information processing method of any embodiment of the present disclosure when running executable instructions.
  • a computer storage medium stores a computer executable program.
  • the executable program is executed by a processor, the information processing method of any embodiment of the present disclosure is implemented.
  • the instruction information may be sent to the first network function through the AF.
  • the instruction information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results.
  • the scheduling-related The operation includes at least one of the following: optimizing scheduling and selective packet loss. In this way, the network side of the business data can be increased and scheduled; for example, the scheduling of the business data can be optimized through optimized scheduling and/or the network congestion can be alleviated through selective packet loss to meet the business service quality requirements. Satisfy needs, improve user experience, etc.
  • Figure 1 is a schematic structural diagram of a wireless communication system according to an exemplary embodiment.
  • Figure 2 is a schematic diagram of an information processing method according to an exemplary embodiment.
  • Figure 3 is a schematic diagram of an information processing method according to an exemplary embodiment.
  • Figure 4 is a schematic diagram of an information processing method according to an exemplary embodiment.
  • FIG. 5 is a schematic diagram of an information processing method according to an exemplary embodiment.
  • Figure 6 is a schematic diagram of an information processing method according to an exemplary embodiment.
  • FIG. 7 is a schematic diagram of an information processing method according to an exemplary embodiment.
  • FIG. 8 is a schematic diagram of an information processing method according to an exemplary embodiment.
  • FIG. 9 is a schematic diagram of an information processing method according to an exemplary embodiment.
  • FIG. 10 is a schematic diagram of an information processing method according to an exemplary embodiment.
  • FIG. 11 is a schematic diagram of an information processing method according to an exemplary embodiment.
  • Figure 12 is a schematic diagram of an information processing method according to an exemplary embodiment.
  • FIG. 13 is a block diagram of an information processing device according to an exemplary embodiment.
  • Fig. 14 is a block diagram showing an information processing device according to an exemplary embodiment.
  • FIG. 15 is a block diagram of an information processing device according to an exemplary embodiment.
  • FIG. 16 is a block diagram of an information processing device according to an exemplary embodiment.
  • Figure 17 is a block diagram of a UE according to an exemplary embodiment.
  • Figure 18 is a block diagram of a base station according to an exemplary embodiment.
  • first, second, third, etc. may be used to describe various information in the embodiments of the present disclosure, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other.
  • first information may also be called second information, and similarly, the second information may also be called first information.
  • word “if” as used herein may be interpreted as "when” or "when” or "in response to determining.”
  • FIG. 1 shows a schematic structural diagram of a wireless communication system provided by an embodiment of the present disclosure.
  • the wireless communication system is a communication system based on cellular mobile communication technology.
  • the wireless communication system may include several user equipments 110 and several base stations 120.
  • user equipment 110 may be a device that provides voice and/or data connectivity to a user.
  • the user equipment 110 may communicate with one or more core networks via a Radio Access Network (RAN).
  • RAN Radio Access Network
  • the user equipment 110 may be an Internet of Things user equipment, such as a sensor device, a mobile phone (or a "cellular" phone) ) and computers with IoT user equipment, which may be, for example, fixed, portable, pocket-sized, handheld, computer-built-in, or vehicle-mounted devices.
  • the user equipment 110 may also be equipment of an unmanned aerial vehicle.
  • the user equipment 110 may also be a vehicle-mounted device, for example, it may be an on-board computer with a wireless communication function, or a wireless user equipment connected to an external on-board computer.
  • the user equipment 110 may also be a roadside device, for example, it may be a streetlight, a signal light or other roadside device with a wireless communication function.
  • the base station 120 may be a network-side device in a wireless communication system.
  • the wireless communication system can be the 4th generation mobile communication technology (the 4th generation mobile communication, 4G) system, also known as the Long Term Evolution (LTE) system; or the wireless communication system can also be a 5G system, Also called new air interface system or 5G NR system.
  • the wireless communication system may also be a next-generation system of the 5G system.
  • the access network in the 5G system can be called the New Generation-Radio Access Network (NG-RAN).
  • NG-RAN New Generation-Radio Access Network
  • the base station 120 may be an evolved base station (eNB) used in the 4G system.
  • the base station 120 may also be a base station (gNB) that adopts a centralized distributed architecture in the 5G system.
  • eNB evolved base station
  • gNB base station
  • the base station 120 adopts a centralized distributed architecture it usually includes a centralized unit (central unit, CU) and at least two distributed units (distributed units, DU).
  • the centralized unit is equipped with a protocol stack including the Packet Data Convergence Protocol (PDCP) layer, the Radio Link Control protocol (Radio Link Control, RLC) layer, and the Media Access Control (Medium Access Control, MAC) layer;
  • PDCP Packet Data Convergence Protocol
  • RLC Radio Link Control
  • MAC Media Access Control
  • the distribution unit is provided with a physical (Physical, PHY) layer protocol stack, and the embodiment of the present disclosure does not limit the specific implementation of the base station 120.
  • a wireless connection may be established between the base station 120 and the user equipment 110 through a wireless air interface.
  • the wireless air interface is a wireless air interface based on the fourth generation mobile communication network technology (4G) standard; or the wireless air interface is a wireless air interface based on the fifth generation mobile communication network technology (5G) standard, such as
  • the wireless air interface is a new air interface; alternatively, the wireless air interface may also be a wireless air interface based on the next generation mobile communication network technology standard of 5G.
  • an E2E (End to End, end-to-end) connection can also be established between user equipments 110 .
  • vehicle-to-vehicle (V2V) communication vehicle-to-roadside equipment (vehicle to Infrastructure, V2I) communication and vehicle-to-person (vehicle to pedestrian, V2P) communication in vehicle networking communication (vehicle to everything, V2X) Wait for the scene.
  • V2V vehicle-to-vehicle
  • V2I vehicle-to-roadside equipment
  • V2P vehicle-to-person communication in vehicle networking communication
  • V2X vehicle networking communication
  • the above user equipment can be considered as the terminal equipment of the following embodiments.
  • the above-mentioned wireless communication system may also include a network management device 130.
  • the network management device 130 may be a core network device in a wireless communication system.
  • the network management device 130 may be a mobility management entity (Mobility Management Entity) in an evolved packet core network (Evolved Packet Core, EPC). MME).
  • Mobility Management Entity Mobility Management Entity
  • EPC evolved Packet Core
  • the network management device can also be other core network devices, such as serving gateway (Serving GateWay, SGW), public data network gateway (Public Data Network GateWay, PGW), policy and charging rules functional unit (Policy and Charging Rules) Function, PCRF), Home Subscriber Server (HSS), etc.; or the network management device can also be the core network device in 5G; for example, it can be the Policy Control Function (Policy Control Function, PCF) or the session management function ( Session Management Function, SMF), etc.
  • PCF Policy Control Function
  • Session Management Function Session Management Function
  • the embodiments of the present disclosure enumerate multiple implementations to clearly describe the technical solutions of the embodiments of the present disclosure.
  • the multiple embodiments provided in the embodiments of the present disclosure can be executed alone or in combination with the methods of other embodiments in the embodiments of the present disclosure. They can also be executed alone or in combination. It is then executed together with some methods in other related technologies; the embodiments of the present disclosure do not limit this.
  • XR services involve not only audio and video streams, but also multi-modal data streams, such as biological tactile sensing data streams.
  • These multi-modal data streams are data input from the same device or different devices (including sensors) describing the same business or application. These data may be output to one or more destination devices.
  • Each data stream in multimodal data often has a certain or even strong correlation, such as the synchronization of audio and video streams, the synchronization of touch and vision, etc.
  • the QoS requirements for matching PDUs or PDU sets within the data flow can usually be but are not limited to: dependencies between data units in the data set, dependencies between data sets, and the importance of data units in the data set.
  • dependencies between data units in the data set can usually be but are not limited to: dependencies between data units in the data set, dependencies between data sets, and the importance of data units in the data set.
  • the 5GS system is studying how to optimize the data scheduling of the RAN air interface based on information such as dependencies and importance relationships or priorities between data units in the data set.
  • the current data flow scheduling mechanism is still unable to quickly alleviate the congestion. For example, during the congestion process, the data units exceed the QoS delay threshold and are discarded. This directly leads to the inability to meet the service QoS and greatly reduces the user experience QoE.
  • the 5GS system does not yet support XR service data flow, especially the network-side scheduling enhancement of the downstream flow.
  • an application function Application Function, AF
  • Application Function including:
  • Step S21 Send indication information to the first network function, where the indication information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results; the scheduling-related operations include at least one of the following: Optimize scheduling and selective packet loss.
  • AF, NEF, the first network function, the second network function, and the network data analysis function (Network Data Analytics Function, NWDAF) involved in the following embodiments or the wireless access network function node may all be Logical nodes or functions that can be flexibly deployed in communication networks.
  • the first network function may be a policy control function (Policy Control Function, PCF) or a session management function (Session Management Function, SMF);
  • the second network function may be a user plane function (User Plane Function, UPF).
  • the first network function and/or the second network function performs scheduling-related operations on the service data based on the prediction results, which may be: the first network function and/or the second network function performs scheduling-related operations on the service data based on the prediction results. .
  • the prediction result may be the prediction analysis result of NWDAF and/or the event notification result reported by the radio access network functional node.
  • the prediction result can be any kind of prediction result; for example, it can be the result of network congestion, QoS processing, UE packet loss rate or quantity traffic; the prediction result is not limited here.
  • the service data may be, but is not limited to, data of at least one of the following services: media services, extended reality XR services, cloud XR services, game services, cloud game services, video-based robot services, and drones.
  • Remote control business The XR service may be an AR service and/or a VR service.
  • the business data may be XRM business data.
  • the service data may be data of any other service or data of a specified service; there is no restriction on specific services here.
  • the service data may be downlink service data of the service.
  • the data in the service data may be at least one of a quantity stream, a data packet, a data packet set, a PDU, and a PDU set; the data in the service data is not limited here.
  • optimized scheduling includes but is not limited to one of the following: priority scheduling based on business data, scheduling based on the importance relationship or dependency relationship between business data.
  • selective packet loss includes but is not limited to one of the following: packet loss for business data within a predetermined time window, packet loss for business data whose data flow is greater than the traffic threshold, and business data whose congestion level is greater than the congestion threshold. Data is lost.
  • optimized scheduling and selective packet loss can be operated in other modes, which are not limited here.
  • the instruction information may be sent to the first network function through the AF.
  • the instruction information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results.
  • the scheduling-related The operation includes at least one of the following: optimizing scheduling and selective packet loss. In this way, the network side of the business data can be increased and scheduled; for example, the scheduling of the business data can be optimized through optimized scheduling and/or the network congestion can be alleviated through selective packet loss to meet the business service quality requirements. Satisfy needs, improve user experience, etc.
  • the indication information is used for the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results based on the rule information.
  • the rule information may be, but is not limited to, at least one of policy and charging control (Policy and Charging Control, PCC) rule information, QoS rule information, data flow filtering rule information, usage monitoring rule information, and measurement rule information.
  • Policy and Charging Control Policy and Charging Control, PCC
  • the indication information is demand indication information or capability indication information; wherein the demand indication information is used to indicate whether there is a need to perform scheduling-related operations on business data based on the prediction results; and the capability indication information is used to indicate whether it is supported based on the prediction results. Perform scheduling-related operations on business data.
  • the indication information may include both requirement indication information and capability indication information.
  • it may further include: receiving capability indication information sent by the UE.
  • the AF receives the capability indication information sent by the UE, where the capability indication information is used to indicate whether to support or not support performing scheduling-related operations on the service data based on the prediction results. If the capability indication information sent by the AF to the first network function is used to indicate that it supports the prediction results to perform scheduling-related operations on the service data, the first network function can perform scheduling-related operations on the service data based on the prediction results; or, if the AF sends to The capability indication information of the first network function is used to indicate that it is not supported to perform scheduling-related operations on the service data based on the prediction results, and the first network function does not perform scheduling-related operations on the service data based on the prediction results.
  • the capability indication information sent by the UE can be obtained through the AF, so that the first network function and/or the second network function can determine scheduling-related operations on the service data based on the prediction results.
  • it may further include: determining demand indication information.
  • the AF generates demand indication information, where the demand indication information is used to indicate that there is a need to perform scheduling-related operations on the service data based on the prediction results or that there is no need to perform scheduling-related operations on the service data based on the prediction results. If the demand indication information sent by the AF to the first network function is used to instruct the demand prediction result to perform scheduling-related operations on the service data, the first network function can perform scheduling-related operations on the service data based on the prediction results; or, if the AF sends it to The demand indication information of the first network function is used to indicate that it is not necessary to perform scheduling-related operations on the service data based on the prediction results, and the first network function does not perform scheduling-related operations on the service data based on the prediction results.
  • the demand indication information of the AFU can be generated through the AF, so that the first network function and/or the second network function determines scheduling-related operations on the service data based on the prediction results.
  • sending the indication information to the first network function in step S21 includes: sending the indication information to the first network function through NEF.
  • Embodiments of the present disclosure provide an information processing method, executed by AF, including: sending instruction information to the first network function through NEF.
  • the AF sending the indication information to the first network function through the NEF may be: the AF sends the indication information to the NEF, and the NEF indication information is sent to the first network function.
  • the interaction between the AF and the first network function may be transmitted through NEF. In this way, it is beneficial to realize that the indication information is successfully sent by the AF to the first network function.
  • the indication information may be sent to the first network function through request information in step S21.
  • the request information also includes status information of the UE or parameters used to determine the status information of the UE; the request information is used to instruct the first network function to update the QoS parameters according to the status information of the UE.
  • the request information may include indication information; or the request information may include status information of the UE or parameters used to determine the status information of the UE; or the request information may include indication information and may also include the status of the UE. Information or parameters used to determine the status information of the UE.
  • the request information may include indication information, and may also include status information of the UE or parameters used to determine the status information of the UE.
  • This implementation is explained below through an embodiment; that is, as shown in Figure 3, the embodiment of the present disclosure provides an information processing method, executed by AF, including:
  • Step S31 Send request information carrying indication information to the first network function, where the request information also includes status information of the UE or parameters used to determine the status information of the UE; where the status information of the UE or parameters used to determine the status information of the UE The parameters of the status information are used to instruct the first network function to update the QoS parameters according to the status information of the UE.
  • the indication information may be as described in other embodiments, which will not be described again here.
  • the request information may include status information of the UE or parameters used to determine the status information of the UE, and the indication information may not be included in the request information.
  • the embodiment of the present disclosure provides an information processing method, which is executed by the AF, including: sending the status information of the UE or parameters used to determine the status information of the UE to the first network function ; Wherein, the status information of the UE or the parameters used to determine the status information of the UE are used to instruct the first network function to update the QoS parameters according to the status information of the UE.
  • the request information may not include indication information, but may include status information of the UE or parameters used to determine the status information of the UE.
  • the indication information may not be sent, or the indication information may be sent in other ways.
  • the first network function and the second network function may refer to any embodiment of the present disclosure; for example, the first network function may be PCF or SMF; the second network function may be UPF.
  • the indication information may be the indication information in any embodiment of the present disclosure. As mentioned above, by way of example, the indication information may include demand indication information and/or capability indication information.
  • the status information of the UE may be, but is not limited to, at least one of the following: overheating information used to indicate overheating of the UE, information used to indicate the power mode, and information used to indicate GPU load balancing.
  • the status information of the UE may be any information describing the status of the UE, and the status of the UE is not limited here.
  • the overheating information of the UE may be indicated through one or more bits of indication information.
  • the parameter used to determine the status information of the UE means that the status information of the UE can be determined based on the parameter.
  • the QoS parameter may be, but is not limited to, at least one of the following:
  • PDU set processing indication wherein the PDU set processing indication is used to indicate whether processing based on PDU set is activated to the data stream;
  • PSDB PDU set delay budget
  • the priority of the PDU set or the priority of the PDU is the priority of the PDU set or the priority of the PDU.
  • the status information of the UE or the parameters used to determine the status information of the UE can be sent to the first network function through AF, so that the first network function can update the QoS parameters; this is beneficial to the first network
  • the function determines the QoS parameters used to determine the rule information based on the actual situation of the UE.
  • the indication information sent to the first network function in step S21 includes one of the following:
  • Instruction information is sent to the first network function in the AF session modification process.
  • embodiments of the present disclosure provide an information processing method, executed by AF:
  • Step S41 Send instruction information to the first network function in the service specific information provision process; or send instruction information to the first network function in the AF session establishment process; or send instruction information to the first network function in the AF session modification process. Instructions.
  • the service specific information includes at least one of the following: status information of the UE, parameters used to determine the status information of the UE, service group identification information, user group identification information, service identification information, and user identification information.
  • the business group identification information is used to uniquely identify the business group; the business identification information is used to uniquely identify the service.
  • the user group identification information is identification information used to uniquely identify the user group; user identification information is identification information used to uniquely identify the user.
  • the service-specific information providing process may refer to the process in which the AF provides service-specific information to the PCF.
  • an AF request carrying indication information may be sent to the first network function through AF.
  • a session establishment request carrying indication information may be sent to the first network function through the AF.
  • a session modification request carrying indication information may be sent to the first network function through the AF.
  • a request carrying indication information can be sent in the service specific information process, AF session establishment process or AF session modification process, so that two functions can be implemented through one request; this can improve signaling utilization. and reduce signaling overhead.
  • the following information processing method is performed by NEF and is similar to the above description of the information processing method performed by AF; and, for technical details not disclosed in the embodiments of the information processing method performed by NEF, please refer to The description of an example of the information processing method performed by AF will not be described in detail here.
  • the embodiment of the present disclosure provides an information processing method, executed by NEF, including:
  • Step S51 Receive the instruction information sent by the AF; wherein the instruction information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results; the scheduling-related operations include at least one of the following: optimizing scheduling and selective packet loss.
  • the first network function and the second network function are respectively the first network function and the second network function in the above embodiments; the prediction results, indication information and business data are respectively the prediction results in the above embodiments. , indication information and service data; optimized scheduling and selective packet loss are respectively optimized scheduling and selective packet loss in the above embodiment.
  • the first network function is PCF or SMF; the second network function is UPF.
  • the prediction result may be the prediction analysis result of the NWDAF and/or the event notification result reported by the radio access network functional node.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • Embodiments of the present disclosure provide an information processing method, executed by NEF, including: sending instruction information to a first network function.
  • receiving the indication information sent by the AF in step S51 includes: receiving the request information carrying the indication information sent by the AF;
  • Sending the indication information to the first network function includes: responding to the request indicated by the authorization request information, sending the indication information to the first network function.
  • the embodiment of the present disclosure provides an information processing method, executed by NEF, including:
  • indication information is sent to the first network function.
  • the indication information is sent to the first network function; if the NEF does not authorize the AF to send the request for the information indication, the indication information is not sent to the first network function.
  • receiving the indication information sent by the AF in step S51 includes:
  • the method includes: based on the fact that there are multiple first network functions and based on the business group identification information and/or the user group identification information, determining a first network function that sends the indication information from the plurality of first network functions.
  • the embodiment of the present disclosure provides an information processing method, executed by NEF, including:
  • a first network function that sends the indication information is determined from the plurality of first network functions.
  • the PCF corresponding to the service group identification information or the PCF corresponding to the user group identification can be determined, and the indication information is sent to the corresponding PCF.
  • which PCF among the multiple associated PCFs is the PCF corresponding to the service data can be identified through the service group identification information and/or the service group identification information, thereby selecting an appropriate PCF to send the indication information.
  • a plurality is two or more than two.
  • Embodiments of the present disclosure provide an information processing method, executed by NEF, including at least one of the following:
  • the indication information can be sent to at least one of UDR, UDM, and AUSF through NEF, so that at least one of UDR, UDM, and AUSF can store the indication information.
  • the indication information may also be stored as an AMF-related parameter, or an SMF-related parameter, and/or as a service characteristic parameter at application time.
  • the following information processing method is performed by the first network function, which is similar to the above description of the information processing method performed by AF and/or NEF; and, for the information processing method performed by the first network function,
  • the first network function is similar to the above description of the information processing method performed by AF and/or NEF; and, for the information processing method performed by the first network function.
  • the description of the examples of information processing methods performed by AF and/or NEF please refer to the description of the examples of information processing methods performed by AF and/or NEF, which will not be described in detail here.
  • an embodiment of the present disclosure provides an information processing method, which is executed by the first network function, including:
  • Step S61 Receive the instruction information sent by the AF, where the instruction information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results; the scheduling-related operations include at least one of the following: optimizing scheduling and selective packet loss.
  • the first network function and the second network function are respectively the first network function and the second network function in the above embodiments; the prediction results, indication information and business data are respectively the prediction results in the above embodiments. , indication information and service data; optimized scheduling and selective packet loss are respectively optimized scheduling and selective packet loss in the above embodiment.
  • the first network function is PCF or SMF; the second network function is UPF.
  • the prediction result may be the prediction analysis result of the NWDAF and/or the event notification result reported by the radio access network functional node.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • receiving the indication information sent by the AF in step S61 includes:
  • Embodiments of the present disclosure provide an information processing method, executed by the first network function, including:
  • receiving the indication information sent by the AF in step S61 includes: receiving the indication information sent by the AF through NEF.
  • Embodiments of the present disclosure provide an information processing method, which is executed by the first network function, including: receiving instruction information sent by the AF through the NEF.
  • receiving the indication information sent by the AF in step S61 includes:
  • Receive request information carrying indication information sent by the AF where the request information also includes: status information of the UE or parameters used to determine the status information of the UE;
  • the method also includes: updating the QoS parameters based on the status information of the UE or the parameters used to determine the status information of the UE.
  • Embodiments of the present disclosure provide an information processing method, executed by the first network function, including:
  • Receive request information carrying indication information sent by the AF where the request information also includes: status information of the UE or parameters used to determine the status information of the UE;
  • QoS parameters are updated based on the UE's status information or parameters used to determine the UE's status information.
  • updating the QoS parameters may include: determining the status information of the UE based on the parameters used to determine the status information of the UE; and updating the OoS parameters based on the status information of the UE.
  • the indication information sent by the AF is received in step S61, including one of the following:
  • Embodiments of the present disclosure provide an information processing method, executed by the first network function, including: receiving instruction information sent by AF through TSCTSF; or receiving instruction information sent by NEF through TSCTSF.
  • the first network function receiving the indication information sent by the AF through the TSCTSF may be: the first network function receives the indication information sent by the TSCTSF, where the indication information is sent by the AF.
  • the first network function receiving the indication information sent by NEF through TSCTSF may be: the first network function receives the indication information sent by NEF, where the indication information is sent by NEF.
  • an embodiment of the present disclosure provides an information processing method, which is executed by the first network function, including:
  • Step S71 Generate rule information based on the instruction information; where the rule information is used to perform scheduling-related operations.
  • Embodiments of the present disclosure provide an information processing method, which is executed by the first network function, including: performing scheduling-related operations based on rule information.
  • Embodiments of the present disclosure provide an information processing method, executed by the first network function, including at least one of the following:
  • the rule information may be the rule information in the above embodiment.
  • the rule information may be PCC rule information.
  • the first network function is PCF
  • Generating rule information based on the instruction information includes: generating PCC rule information based on the instruction information.
  • Embodiments of the present disclosure provide an information processing method, executed by PCF, including:
  • the first network function receives indication information from the AF; the indication information is capability indication information, and the capability indication information is used to indicate support for scheduling-related operations on business data based on prediction results; the prediction result is the occurrence of a congestion event; the first network function can be based on the PCC rule information corresponding to the indication information, and based on the PCC rule information, perform scheduling-related operations; for example, selective packet loss can be performed for the occurrence of a congestion event.
  • Embodiments of the present disclosure provide an information processing method, executed by PCF, including: sending PCC rule information to SMF, where the PCC rule information is used by SMF to determine QoS rule information.
  • sending rule information to the second network function includes: sending QoS rule information to the second network function, where the QoS rules are used for the second network function to perform operations related to scheduling of service data based on prediction results.
  • Embodiments of the present disclosure provide an information processing method, executed by SMF, including:
  • the QoS rule information may be used to indicate the QoS rules of the data flow or the QoS rules of the QoS flow.
  • Embodiments of the present disclosure provide an information processing method, executed by SMF, including: sending at least one of data flow filtering rule information, usage monitoring rule information, and measurement rule information to a second network function.
  • the PCF After receiving the indication information, the PCF generates PCC rule information based on the indication information; the PCF sends the PCC rule information to the SMF.
  • SMF maps PCC rule information to corresponding QoS rule information; SMF sends QoS rule information, data flow filtering rule information and/or usage monitoring rule information and/or measurement rule information to UPF, so that UPF installs these rules information and perform corresponding scheduling-related operations.
  • the PCF can generate PCC rule information based on the instruction information, and determine the scheduling-related operations to be performed based on the PCC rule information; thus, enhanced scheduling of the network side of the service data can be achieved, and it can also reduce the network error caused by the network error. Inaccurate accounting occurs due to packet loss during side optimization scheduling.
  • the SMF can determine the mapped QoS rule information based on the PCC rule information, and send the QoS rule information to the second network function, so that the second network function can perform appropriate scheduling-related operations.
  • PCF and SMF can be deployed at the same time; SMF can also be deployed; or PCF can also be integrated in SMF.
  • scheduling-related operations can be performed based on rule information based on SMF.
  • the following information processing method is performed by the second network function, which is similar to the above description of the information processing method performed by AF and/or NEF and/or the first network function; and, for the information processing method performed by the second network function
  • the second network function For technical details not disclosed in the embodiments of the information processing method performed by the function, please refer to the description of the example information processing method performed by the AF and/or NEF and/or the first network function, which will not be described in detail here.
  • an embodiment of the present disclosure provides an information processing method, which is executed by the second network function, including:
  • Step S81 Receive rule information sent by the first network function, where the rule information is used to perform scheduling-related operations on service data based on prediction results; scheduling-related operations include at least one of the following: optimizing scheduling and selective packet loss.
  • the first network function and the second network function are respectively the first network function and the second network function in the above embodiments;
  • the prediction results and business data are respectively the prediction results and business data in the above embodiments.
  • Optimized scheduling and selective packet loss are respectively optimized scheduling and selective packet loss in the above embodiment;
  • the rule information can be the rule information in the above embodiment.
  • the first network function is PCF or SMF; the second network function is UPF.
  • the prediction result may be the prediction analysis result of NWDAF and/or the event notification result reported by the radio access network functional node.
  • the rule information may be, but is not limited to, at least one of PCC rule information, QoS rule information, data flow filtering rule information, usage monitoring rule information, and measurement rule information.
  • the rule information is determined by the first network function based on the received indication information.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • an embodiment of the present disclosure provides an information processing method, which is executed by the second network function, including:
  • Step S91 Based on the rule information, perform scheduling-related operations.
  • receiving the rule information sent by the first network function in step S81 includes: receiving the QoS rule information sent by the SMF;
  • Step S91 includes: performing scheduling-related operations based on the QoS rule information.
  • Embodiments of the present disclosure provide an information processing method, executed by the second network function, including:
  • scheduling related operations are performed in step S91, including one of the following:
  • scheduling related operations are performed.
  • Embodiments of the present disclosure provide an information processing method, executed by the second network function, including:
  • scheduling related operations are performed.
  • the granularity of optimization may be to perform scheduling-related operations in units of data flows, PDU sets, or data packets.
  • the second network function may be optimally scheduled per data flow or per PDU set or per data packet.
  • the second network function can perform selective packet loss for each data flow or each PDU set or each data packet.
  • the second network function can perform optimized scheduling or selective packet loss for at least one data flow or at least one PDU set or at least one data packet.
  • service data can be optimally scheduled and/or selectively dropped based on measurement results through different unit granularities, thereby effectively alleviating the scheduling of service data when network congestion occurs in more application scenarios.
  • S91 includes at least one of the following:
  • Embodiments of the present disclosure provide an information processing method, executed by the second network function, including at least one of the following:
  • the rule information indicates that scheduling-related operations are performed within a predetermined time window; if the second network function determines that the current time is within the predetermined time window, the scheduling-related operations are performed.
  • the rule information such as data flow filtering rule information
  • the rule information indicates that the flow of the data flow is greater than the flow threshold and the scheduling-related operations are performed; if the second network function determines that the flow of the data flow of the network is greater than the flow threshold, the second network function performs the scheduling-related operations.
  • the rule information indicates that if the packet loss rate is greater than the packet loss rate threshold, scheduling-related operations are performed; if the second network function determines that the packet loss rate of the UE is greater than the packet loss rate threshold, the scheduling-related operations are performed, for example, selecting the relative importance Poor packets are discarded.
  • optimization conditions can be used, such as predetermined time windows, traffic thresholds and/or packet loss rate thresholds, etc., to determine the execution of scheduling-related operations; thereby effectively alleviating network congestion in more application scenarios.
  • Data scheduling reduces accounting inaccuracies caused by packet loss.
  • the embodiment of the present disclosure provides an information processing method, which is executed by a communication device.
  • the communication device includes: UE, RAN functional node, AMF, PCF, UDM, UDR, NEF and AF; the information processing method includes the following steps :
  • Step S1000 UE registers with the network and selects PCF complete AM session association
  • PCF can subscribe to UDR for demand indication information or capability indication information for scheduling related operations on business data based on prediction results (such as UPF dispatching based on predictions).
  • prediction results such as UPF dispatching based on predictions.
  • an XRM service or an XRM service group is associated with multiple PCFs, both of them can be subscribed to the UDR.
  • Step S1001 AF creates an AF request, and the AF request includes the status information of the UE;
  • the AF includes parameters for determining status information of the UE; and/or the AF request includes requirement indication information and/or capability indication information.
  • AF triggers the Nnef_XRMServiceParameter service and creates an AF request.
  • the AF request may be the information requested in the above embodiment.
  • the AF request includes an XRM service identifier or an XRM service group identifier.
  • AF provides XRM services or multiple data service specific parameters to single or multiple UEs related to the service through the Nnef_XRMServiceParameter service.
  • the status information of the UE sent by the AF includes at least one of service description, service parameters, UE or UE group identification, and event subscription. Among them, specifically:
  • XRM business or XRM data business can be identified by a combination of data network name (Data Network Name, DNN) and network slice selection support information (Network Slice Selection Assistance Information, S-NSSAI), or XRM identification information; or AF business identifier (AF-Service-Identifier) or external application identifier (Application Identifier) to represent.
  • Data Network Name DNN
  • network slice selection support information Network Slice Selection Assistance Information, S-NSSAI
  • XRM identification information or XRM identification information
  • AF business identifier AF-Service-Identifier
  • Application Identifier Application Identifier
  • Service parameters QoS parameters related to XRM services/multi-modal data services guided by AF, for example, rule lists associated with XRM obligations or multi-modal data service application data flows, UE policy and other parameters, group identification information, or DNN Combined with S-NSSAI, SSC mode, alternative QoS parameters and priorities, the selection priority of the corresponding rules (such as the corresponding location or time window priority, and the corresponding access type or routing priority, etc.).
  • the AF can subscribe to notifications about SM policy results or execution and changes of AM policies or UE policies.
  • AF When AF needs to update and delete the corresponding request or subscription, it can also initiate the update and delete process of AF request through this service.
  • Step S1002a AF sends the AF request to NEF;
  • Step S1002b NEF authorizes the AF request
  • NEF performs mapping operations, such as mapping external to CN identifiers.
  • Step S1003 NEF stores the AF request to UDM and/or UDM;
  • NEF stores AF into UDR and/or UDM and/or AUSF, which can be used as AMF associated parameter storage and/or as SMF associated parameter storage and/or service characteristic parameter storage of application data.
  • NEF completes corresponding service parameters according to local configuration. For example, based on the operator's policy and subscription information, for the XRM service or multi-modal data service of a single UE or multiple UEs, confirm whether the requested service characteristics are authorizable and store the corresponding parameters in the UDR.
  • the NEF may transmit demand indication information or capability indication information for scheduling related operations of the service data as a result of the prediction to the PCF, and perform corresponding authorization, and decision-making or updating of policies and rules in each PCF.
  • PCF stores the corresponding information in the UDR based on the request authorization result.
  • the NEF can directly transmit it to the PCF associated with the group identity according to the group identity, or store it in UDR and/or UDM and/or AUSF and then transmit it to the PCF associated with the group identity through a subscription report.
  • the subscription data of UE group members is associated through XRM service identification information or UE group identification information, and the data group of the UE group remains consistent (such as QoS, access and data of the service Routing characteristic parameters).
  • PCF can subscribe to trigger events related to relevant XRM services or multi-modal data through NEF, such as the demand or ability of prediction results for scheduling related operations of service data, service QoS updates, UE migration or PCF changes, etc.
  • the PCF By receiving the AF request from the NEF, the PCF obtains the demand indication information or capability indication information for the scheduling-related operations of the business data based on the corresponding prediction results. Optionally perform coordination of policies such as QoS updates. For example, if the QoS characteristic parameters of UE1 change in the XRM service or multi-modal data group, the trigger event will be recorded in NEF and forwarded to the XRM service or multi-modal data group. Corresponding other UEs, or PCFs associated with other application data flows of the same UE, perform corresponding session updates.
  • Step S1004 NEF returns the response information of the AF request to AF;
  • Step S1005 PCF receives the contract information change notification of UDR and/or UDM;
  • the way for PCF to obtain requirement indication information and/or capability indication information from AF includes: PCF obtains requirement indication information and/or capability indication information from AF, or obtains third-party AF or untrusted AF through NEF.
  • the requirement indication information and/or capability indication information sent by the AF, or the requirement indication information and/or capability indication information sent by the AF or NEF are obtained through the TSCTSF; after the UE registers with the network, the AF obtains the status information of the UE from the UE.
  • Step S1006 Determine to perform scheduling-related operations on the business data based on the prediction results
  • PCF and/or SMF generate rule information based on demand indication information and/or capability indication information, and perform optimized scheduling and/or selective packet loss (for example, active scheduling triggered by events such as congestion) on XRM data. Selective packet loss); PCF and/or SMF sends rule information to UPF.
  • UPF installs the rule information generated and issued by PCF and/or SMF, and performs scheduling optimization and/or selective packet loss on XRM data.
  • the optimization granularity may be: QoS flow, data flow, PDU set or data packet; and/or the optimization condition may be: a predetermined time window, a predetermined traffic threshold or a predetermined packet loss ratio (packet loss rate threshold).
  • the prediction result based on the UPF may be the prediction analysis result of the NWDAF and/or the event notification result reported by the radio access network function node.
  • Step S1007 PCF sends the execution results of scheduling-related operations to NEF;
  • the PCF can directly trigger other PCFs to perform QoS changes; or the PCF stores the requirement indication information and/or capability indication information or the XRM business group policy to the UDR and/or UDM, triggering the subscription to the UDM and/or Or UDR and/or NEF report the demand indication information and/or capability indication information to the corresponding PCF, and perform XRM business group policy changes.
  • Step S1008 NEF sends the execution result to AF.
  • the embodiment of the present disclosure provides an information processing method, which is executed by a communication device.
  • the communication device includes: UE, RAN functional node, AMF, SMF, PCF, UPF, NEF and AF; the information processing method includes the following steps :
  • Step S1101 AF sends an AF request, and the AF request carries indication information;
  • the indication information is the indication information in the above embodiment.
  • the request information also carries the status information of the UE, etc.
  • the AF request may be the information requested in the above embodiment.
  • Step S1102 NEF authorizes the AF request
  • Step S1103 NEF sends the AF request to PCF
  • NEF authorizes the AF request and determines whether to call TSCTSF or directly contact PCF based on the parameters provided by AF. These signaling steps are identical to TS 23.502 clause 4.15.6.6 for establishing an AF session with the required QoS procedures.
  • PCF receives the attributes provided by AF from NEF or TSCTSF.
  • Step S1104 PCF generates PCC rule information based on the instruction information
  • PCF triggers Npcf_SMPolicyControl_UpdateNotify to update the rule information of the corresponding PDU session of SMF, including PCC rule information and QoS rule information related to AF requests.
  • Step S1105 PCF sends Npcf_PolicyAuthorization_Create response information to NEF;
  • Step S1106 NEF sends Nnef_AFsessionWithQoS_Create response information to AF;
  • Step S1107 PCF sends Npcf_SMPolicyControl_update notify containing the update policy letter of the PDU session to SMF;
  • the PCF sends the indication information to the SMF and sends the rule information to the SMF;
  • Step S1108 SMF sends an Npcf_SMPolicyControl_update notify response to PCF to determine PCF’s request;
  • Step S1109 SMF maps QoS rule information and/or data flow filtering rule information based on rule information (PCC rule information);
  • Step S1110 SMF distributes QoS rule information and/or data flow filtering rule information to UPF for UPF to install and perform scheduling-related operations;
  • Step S1111 AMF sends an N2 message to update QoS parameters and/or XRM service group identification information.
  • the SMF uses the PCC rule information received in step 8 to determine the authorized QoS flow for the QoS flow and initiates a network requested PDU session modification procedure to provide the NG-RAN (via the AMF) with the updated QoS parameters of the relevant service flow and XRM business group information (XRM business group identification information, etc.). After receiving this information, NG-RAN will apply the information in the service flow.
  • PDU set-based policy and charging control can occur during the PDU session establishment or modification process.
  • the communication device includes: UE, RAN functional node, AMF, SMF, PCF, UPF and AF; the information processing method includes the following steps:
  • Step S1201a Execute the existing PDU session establishment process
  • Step S1201b AF can send information to PCF through Nnef_AFsessionWithQoS_Create request;
  • the information may be QoS parameters of each PDU set in the QoS flow and/or parameters regarding frame identification.
  • the AF can also provide this information to the 5GS before the PDU session is established. in,
  • QoS parameters for each PDU set in the QoS flow including at least one of the following:
  • PDU set processing indication wherein the PDU set processing indication is used to indicate whether processing based on PDU set is activated to the data stream;
  • PSDB PDU set delay budget
  • the parameters of the frame identification include burst periodicity.
  • Step S1202 PCF generates PCC rule information; and sends the PCC rule information to SMF;
  • the PCC rule information may include QoS parameters.
  • PC and/or SMF generate rule information to perform scheduling optimization or selective flow control (such as active packet loss triggered by events such as congestion) on the downlink XRM data flow; among them, the prediction results of UPF scheduling can be the network analysis results of NWDAF ( Network congestion), or the event notification result reported by the RAN function node (such as network congestion), the PCF will consider the prediction result when making decisions to generate PCC rule information.
  • NWDAF Network congestion
  • the RAN function node such as network congestion
  • the QoS parameters related to the PDU set are new QoS parameters used for QoS processing of the PDU set in 5GS;
  • the QoS parameters include one of the following instructions:
  • PSDB PDU set delay budget
  • the priority of the PDU set or the priority of the PDU is the same for all PDU Sets (i.e., the same as the existing QoS flow priority), or it is different for each PDU Set (i.e., the same as the "PDU Set Importance").
  • step 7b is completed in step 7b in the PDU session establishment process, or in step 1b in the PDU session modification process.
  • PDU session establishment process PDU session modification process
  • step 1b the PCF considers the information provided by the AF to generate PCC rule information.
  • Step S1203 SMF configures the RAN function node and UPF
  • SMF generates QoS profile and N4 rule information based on PCC rule information from PCF.
  • the SMF sends the N4 rule information to the UPF and the QoS profile to the RAN functional node via the AMF.
  • the steps are completed through the PDU session establishment process or the PDU session modification process.
  • Step S1204 Execute the remaining steps of the PDU session establishment process or session modification process
  • Step S1205 Based on the N4 rule information and/or the local configuration on the UPF, the UPF identifies relevant information; and performs QoS processing based on the PDU set according to the N4 rule;
  • the relevant information identified by UPF includes at least one of the following information:
  • UPF is based on the rule information generated and issued by the previously installed PCF and/or SMF; performs optimized scheduling and/or selective packet loss of downlink XRM data (for example, active selective packet loss triggered by events such as congestion); optimizes granularity It can be: QoS flow, data flow, PDU set or data packet; and/or the optimization condition can be: a predetermined time window, a predetermined traffic threshold or a predetermined packet loss ratio (packet loss rate threshold).
  • UPF identifies PDUs belonging to a PDU set and at least one of the following information for each PDU set:
  • PDU set sequence number (QoS flow identification information is used to identify the QoS flow, and the PDU set SN is used to identify each PDU set within the QoS flow.
  • Each QoS flow can be used to deliver one or more PDU sets);
  • the number of PDUs in the PDU set is the number of PDUs in the PDU set.
  • the information processed between PDU sets includes at least one of the following information:
  • UPF identifies relevant information through the following methods/mechanisms:
  • Option 1 By matching RTP/SRTP header and payload
  • Option 3 Via information provided by the AS in the N6 encapsulation header, such as GTP-U;
  • Option 4 Pass detection based on traffic characteristics
  • Option 5 UPF implementation via non-standardized mechanism.
  • Step S1206 UPF sends a PDU set notification to the RAN function node
  • the UPF provides the above-mentioned PDU set related information (listed in the related information of step S1205) to the RAN function node.
  • Selection 1 UPF classifies downlink (DL) services into different QoS flows based on the importance relationship of PDU sets;
  • Option 2 UPF classifies downlink services into different sub-QoS flows based on the importance relationship of PDU sets.
  • UPF adds them to the GTP-U header.
  • Step S1207 The RAN function node performs QoS processing of the PDU set.
  • QoS processing of the PDU set is performed based on the relevant information of the PDU set received in step S1206.
  • the RAN functional node performs the PDU set based QoS handling (PDU set based QoS handling) process.
  • PDU set based QoS handling PDU set based QoS handling
  • the packet loss event information and/or post-packet loss indication information of the quality of service QoS processing data packet of the PDU set is reported to the core network (CN); for PCF generates and updates corresponding rule information.
  • the packet loss event information is used to indicate the triggering conditions for qualified discarding of XRM service downlink traffic, such as congestion, UE status information (overheat information used to indicate UE overheating, information used to indicate power mode, and information used to indicate GPU load balancing information).
  • an information processing device including:
  • the first sending module 11 is configured to send indication information to the first network function, where the indication information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results; scheduling-related operations Including at least one of the following: optimized scheduling and selective packet loss.
  • the information processing device provided by the embodiment of the present disclosure may be an AF.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • An embodiment of the present disclosure provides an information processing device, including:
  • the first receiving module is configured to receive capability indication information sent by the user equipment UE;
  • the first processing module is configured to determine the demand indication information.
  • Embodiments of the present disclosure provide an information processing device, including: a first sending module 11 configured to send request information carrying indication information to a first network function, where the request information also includes status information of the UE or is used to determine Parameters of the UE's status information; wherein, the UE's status information or parameters used to determine the UE's status information are used for the first network function to update QoS parameters.
  • a first sending module 11 configured to send request information carrying indication information to a first network function, where the request information also includes status information of the UE or is used to determine Parameters of the UE's status information; wherein, the UE's status information or parameters used to determine the UE's status information are used for the first network function to update QoS parameters.
  • An embodiment of the present disclosure provides an information processing device, including: a first sending module 11 configured to perform one of the following:
  • Instruction information is sent to the first network function in the AF session modification process.
  • Embodiments of the present disclosure provide an information processing device, including: a first sending module 11 configured to send indication information to the first network function through NEF.
  • Embodiments of the present disclosure provide an information processing device, including: the first network function is PCF or SMF; and/or the second network function is UPF.
  • an embodiment of the present disclosure provides an information processing device, including:
  • the second receiving module 21 is configured to receive the indication information sent by the AF; wherein the indication information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results; the scheduling-related operations include the following At least one of: optimized scheduling and selective packet loss.
  • the information processing device provided by the embodiment of the present disclosure may be NEF.
  • the apparatus includes: a second sending module configured to send the indication information to the first network function.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • An embodiment of the present disclosure provides an information processing device, including:
  • the second receiving module 21 is configured to receive the request information carrying the indication information sent by the AF;
  • the second sending module is configured to send indication information to the first network function in response to the request indicated by the authorization request information.
  • Embodiments of the present disclosure provide an information processing device, including: a second receiving module 21 configured to receive request information carrying indication information sent by the AF; wherein the request information also includes business group identification information and/or user group identification information ;
  • the second processing module is configured to determine a first network function to send the indication information from the plurality of first network functions based on the service group identification information and/or the user group identification information based on the plurality of first network functions.
  • An embodiment of the present disclosure provides an information processing device, including: a second sending module configured to perform at least one of the following:
  • an embodiment of the present disclosure provides an information processing device, including:
  • the third receiving module 31 is configured to receive the indication information sent by the AF, where the indication information is used to instruct the first network function and/or the second network function to perform scheduling-related operations on the service data based on the prediction results; the scheduling-related operations include the following At least one of: optimized scheduling and selective packet loss.
  • the information processing device provided by the embodiment of the present disclosure may be the first network function.
  • the indication information includes at least one of the following:
  • Demand indication information used to indicate whether there is a need to perform scheduling-related operations on business data based on prediction results
  • Capability indication information used to indicate whether to support scheduling-related operations on business data based on prediction results.
  • An embodiment of the present disclosure provides an information processing device, including: a third receiving module 31 configured to perform at least one of the following:
  • An embodiment of the present disclosure provides an information processing device, including: a third receiving module 31 configured to perform at least one of:
  • Embodiments of the present disclosure provide an information processing device, including: a third processing module configured to generate rule information based on instruction information; wherein the rule information is used to perform scheduling-related operations.
  • Embodiments of the present disclosure provide an information processing device, including: a third processing module configured to perform scheduling-related operations based on rule information.
  • An embodiment of the present disclosure provides an information processing device, including: a third sending module configured to perform at least one of the following:
  • An embodiment of the present disclosure provides an information processing device.
  • the information processing device is a PCF and includes: a third processing module configured to generate PCC rule information based on the instruction information.
  • Embodiments of the present disclosure provide an information processing device, including: a third sending module configured to send PCC rule information to an SMF, where the PCC rule information is used for the SMF to determine QoS rule information.
  • An embodiment of the present disclosure provides an information processing device.
  • the information processing device is an SMF and includes:
  • the third processing module is configured to generate QoS rule information mapped to the PCC rule information based on the PCC rule information;
  • the third sending module is configured to send QoS rule information to the second network function.
  • An embodiment of the present disclosure provides an information processing device, including:
  • the third receiving module 31 is configured to receive request information carrying indication information sent by the AF, where the request information also includes: status information of the UE or parameters used to determine the status information of the UE;
  • the third processing module is configured to update the QoS parameters based on the status information of the UE or the parameters used to determine the status information of the UE.
  • the second network function is UPF.
  • an information processing device including:
  • the fourth receiving module 41 is configured to receive rule information sent by the first network function, where the rule information is used to perform scheduling-related operations on business data based on prediction results; scheduling-related operations include at least one of the following: optimizing scheduling and selecting sexual packet loss.
  • Embodiments of the present disclosure provide an information processing device, including: a fourth processing module configured to perform scheduling-related operations based on rule information.
  • An embodiment of the present disclosure provides an information processing device, including: a fourth processing module configured to perform one of the following:
  • scheduling related operations are performed.
  • An embodiment of the present disclosure provides an information processing device, including: a fourth processing module configured to perform at least one of the following:
  • the prediction result is the prediction analysis result of NWDAF and/or the event notification result reported by the radio access network functional node.
  • the first network function is PCF or SMF; and/or the second network function is UPF.
  • An embodiment of the present disclosure provides an information processing device, including:
  • the fourth receiving module 41 is configured to receive the QoS rule information sent by the SMF;
  • the fourth processing module is configured to perform scheduling-related operations based on the QoS rule information.
  • Embodiments of the present disclosure provide an information processing system, including: AF, NEF, a first network function and a second network function; wherein, AF is used to execute the information processing method applied to any embodiment in the AF, and NEF is used to execute the application
  • the information processing method of any embodiment in NEF the first network function is used to perform the information processing method applied to any embodiment of the first network function, or the second network function is used to perform any implementation applied to the second network function Examples of information processing methods.
  • An embodiment of the present disclosure provides a communication device, including:
  • Memory used to store instructions executable by the processor
  • the processor is configured to implement the information processing method of any embodiment of the present disclosure when running executable instructions.
  • the communication device may include, but is not limited to, at least one of: AF, NEF, first network function, and second network function.
  • the first network function may be PCF or SMF; the second network function may be UPF.
  • the processor may include various types of storage media, which are non-transitory computer storage media that can continue to memorize the information stored thereon after the user equipment is powered off.
  • the processor may be connected to the memory through a bus or the like, and be used to read the executable program stored on the memory, for example, at least one of the methods shown in FIGS. 2 to 12 .
  • Embodiments of the present disclosure also provide a computer storage medium.
  • the computer storage medium stores a computer executable program.
  • the executable program is executed by a processor, the information processing method of any embodiment of the present disclosure is implemented. For example, at least one of the methods shown in FIGS. 2 to 12 .
  • Figure 17 is a block diagram of a user equipment 800 according to an exemplary embodiment.
  • the user device 800 may be a mobile phone, a computer, a digital broadcast user device, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like.
  • the user device 800 may include one or more of the following components: a processing component 802 , a memory 804 , a power supply component 806 , a multimedia component 808 , an audio component 810 , an input/output (I/O) interface 812 , and a sensor component 814 , and communication component 816.
  • Processing component 802 generally controls the overall operations of user device 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations.
  • the processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above method.
  • processing component 802 may include one or more modules that facilitate interaction between processing component 802 and other components.
  • processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.
  • Memory 804 is configured to store various types of data to support operations at user device 800 . Examples of such data include instructions for any application or method operating on user device 800, contact data, phonebook data, messages, pictures, videos, etc.
  • Memory 804 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EEPROM), Programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EEPROM erasable programmable read-only memory
  • EPROM Programmable read-only memory
  • PROM programmable read-only memory
  • ROM read-only memory
  • magnetic memory flash memory, magnetic or optical disk.
  • Power supply component 806 provides power to various components of user equipment 800.
  • Power supply components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to user device 800 .
  • Multimedia component 808 includes a screen that provides an output interface between the user device 800 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action.
  • multimedia component 808 includes a front-facing camera and/or a rear-facing camera.
  • the front camera and/or the rear camera may receive external multimedia data.
  • Each front-facing camera and rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.
  • Audio component 810 is configured to output and/or input audio signals.
  • audio component 810 includes a microphone (MIC) configured to receive external audio signals when user device 800 is in operating modes, such as call mode, recording mode, and speech recognition mode. The received audio signal may be further stored in memory 804 or sent via communication component 816 .
  • audio component 810 also includes a speaker for outputting audio signals.
  • the I/O interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, a click wheel, a button, etc. These buttons may include, but are not limited to: Home button, Volume buttons, Start button, and Lock button.
  • Sensor component 814 includes one or more sensors that provide various aspects of status assessment for user device 800 .
  • the sensor component 814 can detect the open/closed state of the device 800, the relative positioning of components, such as the display and keypad of the user device 800, the sensor component 814 can also detect the user device 800 or a component of the user device 800. position changes, the presence or absence of user contact with user device 800 , user device 800 orientation or acceleration/deceleration and temperature changes of user device 800 .
  • Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • Communication component 816 is configured to facilitate wired or wireless communication between user device 800 and other devices.
  • User equipment 800 may access a wireless network based on a communication standard, such as WiFi, 4G or 5G, or a combination thereof.
  • the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communications component 816 also includes a near field communications (NFC) module to facilitate short-range communications.
  • NFC near field communications
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • user equipment 800 may be configured by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable A programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation is used to perform the above method.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable A programmable gate array
  • controller microcontroller, microprocessor or other electronic component implementation is used to perform the above method.
  • a non-transitory computer-readable storage medium including instructions such as a memory 804 including instructions, which can be executed by the processor 820 of the user device 800 to complete the above method is also provided.
  • the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
  • an embodiment of the present disclosure shows the structure of a base station.
  • the base station 900 may be provided as a network side device.
  • base station 900 includes a processing component 922, which further includes one or more processors, and memory resources represented by memory 932 for storing instructions, such as application programs, executable by processing component 922.
  • the application program stored in memory 932 may include one or more modules, each corresponding to a set of instructions.
  • the processing component 922 is configured to execute instructions to perform any of the foregoing methods applied to the base station.
  • Base station 900 may also include a power supply component 926 configured to perform power management of base station 900, a wired or wireless network interface 950 configured to connect base station 900 to a network, and an input/output (I/O) interface 958.
  • Base station 900 may operate based on an operating system stored in memory 932, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM or the like.

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Abstract

Des modes de réalisation de la présente divulgation concernent un procédé et un appareil de traitement d'informations, un dispositif de communication et un support d'enregistrement. Le procédé de traitement d'informations est exécuté par une fonction d'application et comprend : l'envoi d'informations d'indication à une première fonction de réseau, les informations d'indication étant utilisées pour ordonner à la première fonction de réseau et/ou à une seconde fonction de réseau d'exécuter une opération associée de planification sur des données de service sur la base d'un résultat de prédiction, et l'opération associée de planification comprenant au moins l'un des éléments suivants : planification optimale et rejet sélectif de paquets.
PCT/CN2022/119479 2022-09-16 2022-09-16 Procédé et appareil de traitement d'informations, dispositif de communication et support d'enregistrement Ceased WO2024055331A1 (fr)

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