WO2025026193A1 - Procédé et appareil de traitement de service, dispositif de communication et support de stockage lisible - Google Patents

Procédé et appareil de traitement de service, dispositif de communication et support de stockage lisible Download PDF

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Publication number
WO2025026193A1
WO2025026193A1 PCT/CN2024/107681 CN2024107681W WO2025026193A1 WO 2025026193 A1 WO2025026193 A1 WO 2025026193A1 CN 2024107681 W CN2024107681 W CN 2024107681W WO 2025026193 A1 WO2025026193 A1 WO 2025026193A1
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Prior art keywords
network element
service
unit
message
verification
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PCT/CN2024/107681
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English (en)
Chinese (zh)
Inventor
周通
康艳超
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Vivo Mobile Communication Co Ltd
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Vivo Mobile Communication Co Ltd
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Publication of WO2025026193A1 publication Critical patent/WO2025026193A1/fr
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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/50—Service provisioning or reconfiguring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W76/00—Connection management
    • H04W76/10—Connection setup
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W76/00—Connection management
    • H04W76/20—Manipulation of established connections
    • H04W76/25—Maintenance of established connections

Definitions

  • the present application belongs to the field of communication technology, and specifically relates to a service processing method, device, communication equipment and readable storage medium.
  • AI artificial intelligence
  • communication systems can use AI to perform some operation optimizations, but AI is not provided as a general service to third-party servers, nor is AI business services implemented according to the needs or purposes of third-party servers.
  • Third-party servers are an important supplement to communication systems. In this case, how to implement the AI business service process based on third-party servers is an urgent problem to be solved.
  • the embodiments of the present application provide a business processing method, apparatus, communication equipment and readable storage medium, which can solve the problem of how to implement an AI business service process based on a third-party server.
  • a service processing method which is performed by a first network element, and the method includes:
  • the first network element receives a first message sent by the second network element, wherein the first message is used to request to establish an artificial intelligence AI service for the second network element, and the AI service is a verification service;
  • the first network element sends a second message to the second network element, where the second message is used to respond to the first message;
  • the first network element is a core network element, and the second network element is a third-party server.
  • a service processing method which is performed by a second network element, and the method includes:
  • the second network element sends a first message to the first network element, wherein the first message is used to request to establish an AI service for the second network element, and the AI service is a verification service;
  • the second network element receives a second message sent by the first network element, where the second message is used to respond to the first message;
  • the first network element is a core network element, and the second network element is a third-party server.
  • a service processing method which is executed by a third network element, and the method includes:
  • the third network element sends a fourth message to the sixth network element, wherein the fourth message is used to request an AI unit required for an AI service, and the AI service is a verification service;
  • the third network element receives a response message to the fourth message returned by the sixth network element, wherein the response message is used Indicates the AI unit required for the AI service.
  • a service processing method which is executed by a fourth network element, and the method includes:
  • the fourth network element receives first data sent by the second network element, where the first data includes input data of the AI unit;
  • the fourth network element performs AI unit processing according to the first data
  • the fourth network element sends second data to the second network element, where the second data includes an output result of the AI unit.
  • a service processing method which is executed by a sixth network element, and the method includes:
  • the sixth network element receives a fourth message sent by the third network element, wherein the fourth message is used to request an AI unit required for an AI service, and the AI service is a verification service;
  • the sixth network element sends a response message of the fourth message to the third network element, where the response message is used to indicate the AI unit required for the AI service.
  • a service processing device which is applied to a first network element, including:
  • a first receiving module configured to receive a first message sent by a second network element, wherein the first message is used to request to establish an AI service for the second network element, and the AI service is a verification service;
  • the first sending module is used to send a second message to the second network element, wherein the second message is used to respond to the first message.
  • a service processing device which is applied to a second network element, including:
  • a third sending module is used to send a first message to the first network element, wherein the first message is used to request to establish an AI service for the second network element, and the AI service is a verification service;
  • a service processing device which is applied to a third network element, including:
  • a sixth sending module configured to send a fourth message to a sixth network element, wherein the fourth message is used to request an AI unit required for an AI service, and the AI service is a verification service;
  • the fourth receiving module is used to receive a response message to the fourth message returned by the sixth network element, where the response message is used to indicate the AI unit required for the AI service.
  • a processing module configured to perform AI unit processing according to the first data
  • a ninth sending module is used to send second data to the second network element, where the second data includes the output result of the AI unit.
  • a service processing device is provided, which is applied to a sixth network element, including:
  • an eighth receiving module configured to receive a fourth message sent by a third network element, wherein the fourth message is used to request an AI unit required for an AI service, and the AI service is a verification service;
  • a tenth sending module is used to send a response message of the fourth message to the third network element, wherein the response message is To indicate the AI unit required for the AI service.
  • a readable storage medium on which a program or instruction is stored.
  • the steps of the method described in the first aspect are implemented, or the steps of the method described in the second aspect are implemented, or the steps of the method described in the third aspect are implemented, or the steps of the method described in the fourth aspect are implemented, or the steps of the method described in the fifth aspect are implemented.
  • a wireless communication system including: a first network element, a second network element, a third network element, a fourth network element and a sixth network element, wherein the first network element can be used to execute the steps of the method described in the first aspect, the second network element can be used to execute the steps of the method described in the second aspect, the third network element can be used to execute the steps of the method described in the third aspect, the fourth network element can be used to execute the steps of the method described in the fourth aspect, and the sixth network element can be used to execute the steps of the method described in the fifth aspect.
  • a computer program/program product is provided, which is stored in a storage medium, and the program/program product is executed by at least one processor to implement the steps of the method described in the first aspect, or the steps of the method described in the second aspect, or the steps of the method described in the third aspect, or the steps of the method described in the fourth aspect, or the steps of the method described in the fifth aspect.
  • a communication system including: a first network element, a second network element, a third network element, a fourth network element, and a sixth network element, wherein:
  • the first network element is used to: receive a first message sent by the second network element, the first message is used to request to establish an AI service for the second network element, and the AI service is a verification service; send a second message to the second network element, and the second message is used to respond to the first message;
  • the second network element is used to: send a first message to the first network element, where the first message is used to request to establish an AI service for the second network element; and receive a second message sent by the first network element, where the second message is used to respond to the first message;
  • the third network element is used to: send a fourth message to the sixth network element, where the fourth message is used to request an AI unit required for the AI service, and receive a response message to the fourth message returned by the sixth network element, where the response message is used to indicate the AI unit required for the AI service;
  • the fourth network element is used to: receive first data sent by the second network element, the first data including input data of the AI unit; perform AI unit processing according to the first data; send second data to the second network element, the second The data includes the output of the AI unit;
  • the sixth network element is used to: receive a fourth message sent by the third network element, where the fourth message is used to request the AI unit required for the AI service; and send a response message to the fourth message to the third network element, where the response message is used to indicate the AI unit required for the AI service.
  • a first network element may receive a first message sent by a second network element, the first message being used to request the establishment of an AI service for the second network element, the AI service being a verification service, and return a response message of the first message to the second network element, the second network element being a third-party server.
  • the establishment of an AI verification service may be initiated according to the needs and purposes of a third-party server (such as an OTT server), thereby realizing the AI service service process.
  • FIG1 is a block diagram of a wireless communication system to which an embodiment of the present application can be applied;
  • FIG2 is a flow chart of a service processing method provided in an embodiment of the present application.
  • FIG3 is a flow chart of another service processing method provided in an embodiment of the present application.
  • FIG4 is a flow chart of another service processing method provided in an embodiment of the present application.
  • FIG5 is a flow chart of another service processing method provided in an embodiment of the present application.
  • FIG6 is a flow chart of another service processing method provided in an embodiment of the present application.
  • FIG7 is a flowchart of the AI business service process in Example 1 of the present application.
  • FIG8 is a flowchart of the AI business service process in Example 2 of the present application.
  • FIG9 is a schematic diagram of the structure of a service processing device provided in an embodiment of the present application.
  • FIG10 is a schematic diagram of the structure of another service processing device provided in an embodiment of the present application.
  • FIG. 11 is a schematic diagram of the structure of another service processing device provided in an embodiment of the present application.
  • FIG. 12 is a schematic diagram of the structure of another service processing device provided in an embodiment of the present application.
  • the third message may be an AI service establishment request message, such as a message sent by a policy charging function PCF to an AI service management function.
  • the first network element and the third network element may be the same network element or jointly set up.
  • the third message is implemented inside the network element.
  • the first network element is a policy charging function
  • the third network element is an AI service management function.
  • the policy charging function and the AI service management function may be the same network element or jointly set up.
  • FIG. 3 is a flow chart of a service processing method provided in an embodiment of the present application.
  • the method is executed by the second network element. As shown in FIG. 3, the method includes the following steps:
  • Step 31 The second network element sends a first message to the first network element, where the first message is used to request to establish an AI service for the second network element, where the AI service is a verification service.
  • Step 32 The second network element receives a second message sent by the first network element, where the second message is used to respond to the first message.
  • the first network element is a core network element
  • the second network element is a third-party server.
  • the first network element can be understood as a central control node, which can be selected as but not limited to a policy charging function, an AI service management function, an external service management function, a service management function, a collaborative control function, or a computing power service management function.
  • the second network element can be selected as a third-party server such as an OTT server, whose content or service is built on basic telecommunications services.
  • the second network element (such as an OTT server) can initiate the establishment of an AI service, thereby realizing the AI service service process.
  • the first message includes at least one of the following:
  • the type of service used for the verification business for example, environmental reconstruction, facial recognition, etc.;
  • a second indication indicating a performance verification method of the AI unit used for the verification service for example, if this indication is in a default state, it indicates that the performance verification method of the AI unit is specified by the network;
  • a fourth indication indicating a privacy mode of the AI unit for the authentication service provided by the second network element;
  • the privacy mode may include a container mode, a hardware privacy security mode, etc.;
  • QoE Quality of Experience
  • AI unit related parameters such as whether the network internal AI unit indication is required, AI unit identification, etc.
  • the first message may be an AI service establishment request message, etc.
  • the second message is used to notify the result of the AI service establishment request, including at least one of the following:
  • Relevant information about the AI resource node used to perform the verification business may be a node identifier, etc.;
  • a fifth indication wherein the fifth indication is used to indicate a verification indicator of the AI service, or to indicate that the verification indicator of the AI service is determined by the second network element; for example, the fifth indication may explicitly indicate the verification indicator of the AI service, or to indicate that the verification indicator of the AI service is determined by the OTT server;
  • Parameter items that need to be reported in the verification results of the verification service may include but are not limited to at least one of the following items of the AI unit: accuracy, recall, normalized mean square error, normalized root mean square error, error level, accuracy level, recall level, etc.
  • the second message may be an AI service establishment request response message, that is, a response message to the above-mentioned AI service establishment request message.
  • the service processing method may further include:
  • the second network element sends first data to the fourth network element, where the first data includes input data of the AI unit, so that the fourth network element performs processing operations of the AI unit, such as AI unit reasoning, based on the received first data.
  • the fourth network element is an AI resource node, a resource node, a computing power resource node, a computing power execution node, a computing power execution plane, a business resource node, etc., which is used for business processing and implementation of business policy rules, etc.; specifically, the AI business can be calculated and processed according to the command of the seventh network element, such as execution on the user plane, or AI resource status update to the seventh network element, etc.
  • the fourth network element may perform processing operations of the AI unit, such as AI unit reasoning, based on the first data and data obtained from the data source.
  • the second network element may send the first data to the fourth network element through a fifth network element.
  • the fifth network element is, for example, It is a network open function, located between the core network (such as the 6G core network) and external third-party servers (possibly also some internal AFs), responsible for opening network capabilities and internal network information; all external applications that want to access the internal data of the core network must go through the network open function.
  • the network open function provides corresponding security guarantees to ensure the security of external applications to the core network, and provides external application target/demand customization capability opening, mobility status event subscription, AF request distribution and other functions.
  • the service processing method may further include:
  • the second network element receives second data sent by the fourth network element, where the second data includes an output result of the AI unit.
  • the second network element may receive the second data sent by the fourth network element after sending the first data to the fourth network element, such as receiving an AI unit inference result obtained based on the first data.
  • the service processing method may further include:
  • the second network element sends a verification result to the third network element, where the verification result includes at least one of the following:
  • the scope of application of the AI unit i.e., the scope within which the AI unit can be applied;
  • the accuracy level of the AI unit is the accuracy level of the AI unit
  • AI unit identifier
  • the verification result may be a verification result calculated by the second network element (such as an OTT server) based on the received second data.
  • the verification result may be fed back through the control plane.
  • the third network element may obtain the verification result related to the AI unit.
  • the third network element may be an AI service management function, an external service management function, a collaborative control function, a service management function, a computing service management function, or other network functions capable of implementing similar functions, for service management and service identification resolution, etc.
  • the OTT server may send the verification result to the AI service management function.
  • the generalization index of the AI unit includes at least one of the following:
  • First information including: an identifier of a first data set, an identifier of a second data set, and a difference in an index of an AI unit under the second data set and the first data set, wherein the first data set is a data set for training the AI unit, and the second data set is a data set for verifying the AI unit; for example, the data distribution characteristics of the first data set are different from the data distribution characteristics of the second data set, so as to verify the performance of the AI unit trained according to the first data set under the second data set;
  • the second information includes: a sixth indication, an indicator threshold of the AI unit under a supportable data set, wherein the sixth indication is used to indicate a data set that the AI unit can support; in this case, the indicator threshold can be used to verify the performance of the AI unit under the supportable data set; and the sixth indication can be used to characterize the scope of application of the model under the condition that the indicator threshold is met;
  • third information including: an identifier of the first scenario, an identifier of the second scenario, and an index difference between the AI unit in the second scenario and the first scenario, the first scenario being a scenario when the AI unit is trained, and the second scenario being a scenario when the AI unit is verified; in this case, the scenario when the AI unit is trained is different from the scenario when the AI unit is verified, for example, the scenario when the AI unit is trained is a sparse large rural scenario, while the scenario when the AI unit is verified is a dense urban scenario, so as to verify the performance of the AI unit trained in the first scenario in the second scenario;
  • fourth information including: a seventh indication, an indicator threshold of the AI unit in a supportable scenario, the seventh indication being used to indicate a scenario that the AI unit can support; in this case, the indicator threshold can be used to verify the performance of the AI unit in a supportable scenario; and the sixth indication can be used to characterize the scope of application of the model when the indicator threshold is met;
  • the fifth information including: an identifier of the first field, an identifier of the second field, and an index difference between the second field and the first field of the AI unit, the first field being the field of the AI unit training, and the second field being the field of the AI unit verification; in this case, the field of the AI unit training is different from the field of the AI unit verification, for example, the field of the AI unit training is speech recognition in the legal field, while the field of the AI unit verification is speech recognition in the fine arts field, so as to verify the performance of the AI unit trained in the first field in the second field;
  • the sixth information includes: an eighth indication and an indicator threshold of the AI unit in a supportable field, the eighth indication is used to indicate the supportable field of the AI unit; in this case, with the help of the indicator threshold, the performance of the AI unit in the supportable field can be verified; with the help of the sixth indication, the scope of application of the model can be represented when the indicator gate is met.
  • the above 1) and 2) can be understood as a data set description method for generalization indicators
  • the above 3) and 4) can be understood as a scene description method for generalization indicators
  • the above 5) and 6) can be understood as a domain description method for generalization indicators.
  • Step 41 The third network element sends a fourth message to the sixth network element, where the fourth message is used to request an AI unit required for an AI service, and the AI service is a verification service.
  • the fourth message may include but is not limited to at least one of the following:
  • the generalizability indicator of the AI unit used for the verification business is the generalizability indicator of the AI unit used for the verification business.
  • the fourth message may be selected as an AI unit request message, a model request message, etc.
  • the third network element and the sixth network element may be specifically as described above.
  • the AI unit required for the AI service can be determined, thereby realizing the AI service process.
  • third information including: an identifier of the first scenario, an identifier of the second scenario, and an index difference between the AI unit in the second scenario and the first scenario, the first scenario being a scenario when the AI unit is trained, and the second scenario being a scenario when the AI unit is verified; in this case, the scenario when the AI unit is trained is different from the scenario when the AI unit is verified, for example, the scenario when the AI unit is trained is a sparse large rural scenario, while the scenario when the AI unit is verified is a dense urban scenario, so as to verify the performance of the AI unit trained in the first scenario in the second scenario;
  • fourth information including: a seventh indication, an indicator threshold of the AI unit in a supportable scenario, the seventh indication being used to indicate a scenario that the AI unit can support; in this case, the indicator threshold can be used to verify the performance of the AI unit in a supportable scenario; the seventh indication can be used to characterize the scope of application of the model when the indicator threshold is met;
  • the fifth information including: an identifier of the first field, an identifier of the second field, and an index difference between the second field and the first field of the AI unit, the first field being the field of the AI unit training, and the second field being the field of the AI unit verification; in this case, the field of the AI unit training is different from the field of the AI unit verification, for example, the field of the AI unit training is speech recognition in the legal field, while the field of the AI unit verification is speech recognition in the fine arts field, so as to verify the performance of the AI unit trained in the first field in the second field;
  • the sixth information includes: an eighth indication, an indicator threshold of the AI unit in a supportable field, and the eighth indication is used to indicate the supportable field of the AI unit; in this case, with the help of the indicator threshold, the performance of the AI unit in the supportable field can be verified; with the help of the eighth indication, the scope of application of the model can be represented when the indicator gate is met.
  • a request may be made to obtain AI resources.
  • the service processing method further includes:
  • the third network element sends a fifth message to the seventh network element, where the fifth message is used to request AI resources for the AI service.
  • the fifth message includes but is not limited to at least one of the following:
  • Handling latency requirements such as the latency of executing model inference/validation for AI resource nodes
  • AI unit information such as model ID or model download address
  • Data source information such as data source address
  • Computational capacity such as computing power size and type.
  • the seventh network element may be an AI resource management function, a resource management function, a computing power control function, an AI resource control function, a computing power resource management function, or other network functions capable of implementing similar functions, for business resource management, etc.
  • the allocation, update, and release of AI/computing power resources may be performed on demand; the status of AI/computing power resource nodes may be updated and maintained, etc.
  • the fifth message may be an AI resource request message, for requesting the required AI resources.
  • At least two (i.e., two or three) of the third network element, the sixth network element, and the seventh network element may be the same network element or may be jointly provided.
  • the third network element is an AI service management function
  • the sixth network element is an AI model management function
  • the seventh network element is an AI resource management function
  • at least two of the AI service management function, the AI model management function, and the AI resource management function may be the same network element or may be jointly provided.
  • the service processing method may further include:
  • the third network element receives the verification result sent by the second network element, where the verification result includes at least one of the following:
  • the scope of application of the AI unit i.e., the scope within which the AI unit can be applied;
  • the accuracy level of the AI unit is the accuracy level of the AI unit
  • AI unit identifier
  • the verification result may be a verification result calculated by the second network element (such as an OTT server) based on the received AI unit output data, thereby enabling the third network element to obtain the verification result related to the AI unit.
  • the second network element such as an OTT server
  • the service processing method may further include:
  • the third network element sends a verification result to the first network element or the sixth network element, where the verification result includes at least one of the following:
  • the accuracy level of the AI unit is the accuracy level of the AI unit
  • the third network element, the first network element and the sixth network element may specifically be as described above.
  • the third network element may forward the received verification result to the first network element or the sixth network element.
  • FIG. 5 is a flow chart of a service processing method provided in an embodiment of the present application.
  • the method is executed by a fourth network element. As shown in FIG. 5, the method includes the following steps:
  • Step 51 The fourth network element receives first data sent by the second network element, where the first data includes input data of the AI unit;
  • Step 52 The fourth network element performs AI unit processing according to the first data
  • Step 53 The fourth network element sends second data to the second network element, where the second data includes the output result of the AI unit.
  • the fourth network element and the second network element may specifically be as described above.
  • the fourth network element can execute the processing operation of the AI unit according to the first data, such as the model reasoning operation, to obtain the AI unit reasoning result, thereby realizing the AI business service process.
  • the fourth network element may receive the first data sent by the second network element through the fifth network element.
  • the fifth network element is a network opening function, which is located between the core network (such as the 6G core network) and the external third-party server, and is responsible for managing network data open to the outside world.
  • the core network such as the 6G core network
  • the external third-party server is responsible for managing network data open to the outside world.
  • the fourth network element may release AI resources after completing AI unit processing to avoid AI resources being occupied by completed services, thereby improving AI resource utilization.
  • the service processing method may further include:
  • the fourth network element receives configuration information sent by the seventh network element, where the configuration information is used to configure AI resources, and the configuration information includes at least one of the following:
  • a ninth instruction wherein the ninth instruction is used to indicate an AI framework
  • a tenth indication is used to indicate an AI library version
  • Data source information for example, the data source corresponding to the data source information can be used to generate, store and forward data;
  • AI service processing rules for example, the AI service processing rules may be configured by the network or agreed upon in advance.
  • the seventh network element may specifically be as described above.
  • the AI framework is a set of standard interfaces, feature libraries, and toolkits for the design, training, and verification of AI algorithm models. It integrates the encapsulation of algorithms, the calling of data, and the use of computing resources. It also provides a development interface and an efficient execution platform for developers. It is an essential tool for the development of AI algorithms. Examples of AI frameworks include TensorFlow, PyTorch, Keras, Caffe, and MXNet.
  • the AI library may be a deep learning function library. Examples of AI library versions include versions of different libraries such as NumPy, Matplotlib, and Pandas.
  • FIG. 6 is a flow chart of a service processing method provided by an embodiment of the present application. Meta-execution, as shown in FIG6 , the method comprises the following steps:
  • Step 61 The sixth network element receives a fourth message sent by the third network element, where the fourth message is used to request an AI unit required for an AI service, and the AI service is a verification service.
  • Step 62 The sixth network element sends a response message of the fourth message to the third network element, where the response message is used to indicate the AI unit required for the AI service.
  • the fourth message may include but is not limited to at least one of the following:
  • the AI unit required for the AI service can be determined, thereby realizing the AI service process.
  • the fourth message may be an AI unit request message, a model request message, etc.
  • the generalization index of the AI unit may be as described above, which will not be described in detail here.
  • the sixth network element and the third network element may specifically be as described above.
  • the service processing method further includes:
  • the sixth network element receives a verification result sent by the third network element, where the verification result includes at least one of the following:
  • the accuracy level of the AI unit is the accuracy level of the AI unit
  • the identifier of the AI unit is the identifier of the AI unit.
  • the verification result may be a verification result calculated by the second network element (such as an OTT server) based on the received AI unit output data.
  • the third network element may forward the received verification result to the sixth network element.
  • the sixth network element may update the expected accuracy in the AI unit description information according to the received verification result.
  • the AI unit description information in the sixth network element (such as the AI model management function) includes the expected accuracy of the AI unit, and after receiving the verification result of the AI unit, its expected accuracy can be updated.
  • the policy billing function serves as the central control node. Due to the need to establish an AI verification service, the OTT server requests the policy billing function to establish an AI service; the policy billing function allocates the corresponding AI policy according to the AI service establishment request initiated by the OTT server, and the AI policy is used to allocate corresponding resources to the corresponding network element in the network; the policy billing function shall comprehensively consider the end-to-end service requirements when allocating policies; the policy billing function initiates the AI service establishment request process to the AI service management function.
  • the specific AI verification service processing process includes:
  • Step 1 The second network element (e.g., an OTT server) sends an AI service establishment request message to the fifth network element (e.g., a network open function), wherein the request message is used to request the network to establish a corresponding AI service for it; the request message is specifically the first message mentioned above, and the information included therein may be the content included in the first message mentioned above, and to avoid repetition, it will not be repeated here.
  • the fifth network element e.g., a network open function
  • the fifth network element (e.g., a network open function) authenticates the request message to determine whether the OTT server can request such AI service.
  • the fifth network element (such as a network open function) can request the OTT server's OTT-related data from the UDM/UDR, including but not limited to contract data, policy data, etc., to verify whether the AI service-related contract information exists; if it exists, execute subsequent processes; if it does not exist, the network open function rejects the OTT server's AI service establishment request.
  • the network open function rejects the OTT server's AI service establishment request.
  • Step 3 The fifth network element (eg, network open function) forwards the received AI service establishment request message to the policy charging function.
  • the fifth network element eg, network open function
  • Step 4 The first network element (eg, policy and charging function) generates a corresponding AI policy according to the received AI service establishment request message. It should be noted that the first network element (eg, policy and charging function) should comprehensively consider the end-to-end service requirements of the AI service when allocating the AI policy.
  • the first network element selects an AI service management function according to the received AI service establishment request message.
  • the first network element e.g., a policy charging function
  • the first network element may comprehensively consider some factors and use NRF or local configuration information to discover a matching AI service management function instance, and the factors considered may include at least one of the following:
  • -Third network element e.g. AI service management function
  • instance capabilities such as AI service processing latency, AI service processing accuracy, AI service computing capacity, etc.
  • the first network element (eg, policy charging function) sends an AI service establishment request message to the selected third network element (eg, AI service management function) to request allocation of corresponding AI resources and required models for the AI service.
  • the selected third network element eg, AI service management function
  • the policy charging function and the AI service management function can be co-located. If co-located, step 6 is implemented within the network element. now.
  • Step 7a The third network element (e.g., AI service management function) sends a model request message to the sixth network element (e.g., AI model management function) to determine the model information.
  • the model request message is specifically the fourth message mentioned above, and the information included therein may be the content included in the fourth message mentioned above. To avoid repetition, it will not be repeated here.
  • the AI service establishment request indicates that the OTT server does not contain model information
  • the AI service establishment request contains indication information, indicating that interaction with the AI model management function is required
  • the AI business management function may select a corresponding AI model management function according to at least one of the following:
  • Step 7b The sixth network element (eg, the AI model management function) sends a model request response to the third network element (eg, the AI service management function) to indicate the model information.
  • the third network element eg, the AI service management function
  • a third network element may determine data source information based on AI model information; if the data source has been determined, steps 8a and 8b will not be executed.
  • Step 8a The third network element (eg, AI service management function) sends a data source request message to the data plane management function, where the request message is used to determine the data source information.
  • AI service management function e.g., AI service management function
  • step 8a may be performed if at least one of the following conditions is met:
  • the AI session establishment request indicates that the OTT server does not contain data source information
  • the AI session establishment request includes indication information indicating that interaction with the data plane management function is required
  • the AI service management function may select a corresponding data plane management function according to at least one of the following:
  • Step 8b The data plane management function sends a data source request response message to the third network element (eg, the AI service management function) to indicate the data source information.
  • the third network element eg, the AI service management function
  • Step 9a The third network element (e.g., AI service management function) sends a request to the seventh network element (e.g., AI resource management function).
  • Send AI resource request information the AI resource request information is specifically the fifth message mentioned above, and the information included therein may be the content included in the fifth message mentioned above, to avoid repetition, it will not be repeated here.
  • the seventh network element determines a suitable fourth network element (e.g., the AI resource node) according to the AI resource request information and the AI policy, and sends AI resource configuration information to the fourth network element (e.g., the AI resource node), where the configuration information may include but is not limited to at least one of the following:
  • Step 9b The seventh network element (e.g., AI resource management function) sends an AI resource request response message to the third network element (e.g., AI service management function), which includes information of the fourth network element (e.g., AI resource node), and the information includes at least one of the following:
  • the third network element e.g., AI service management function
  • the fourth network element e.g., AI resource node
  • FQDN -Fully Qualified Domain Name
  • the AI resource establishment response message may also include but is not limited to at least one of the following:
  • the third network element e.g., AI service management function
  • the sixth network element e.g., AI model management function
  • the seventh network element e.g., AI resource management function
  • Step 11 The third network element (eg, AI service management function) sends an AI service establishment request response message to the first network element (eg, policy charging function), which includes information of the fourth network element (eg, AI resource node).
  • the first network element eg, policy charging function
  • the fourth network element eg, AI resource node
  • the first network element e.g., the policy charging function
  • the response message is specifically the second message mentioned above, and the information included therein may be the content included in the second message mentioned above. To avoid repetition, it will not be repeated here.
  • the second network element e.g., an OTT server
  • sends the first data i.e., AI service data
  • the fourth network element e.g., an AI resource node
  • the first data is, for example, a model input data set for verification.
  • the first data may be forwarded via a fifth network element (eg, a network open function).
  • a fifth network element eg, a network open function
  • the first data is interpretable data, or privately processed data, such as encrypted data.
  • a fourth network element obtains in-network data from a data source.
  • Step 15 The fourth network element (eg, AI resource node) performs model reasoning.
  • the fourth network element e.g., AI resource node
  • sends the second data i.e., AI service data
  • the second data is a model output result provided by the network, such as an inference result.
  • the second data may be forwarded via a fifth network element (eg, a network open function).
  • a fifth network element eg, a network open function
  • the second data is interpretable data, or privately processed data, such as encrypted data.
  • Step 17 The seventh network element (eg, AI resource management function) sends an inference end notification to the third network element (eg, AI service management function); the third network element (eg, AI service management function) feeds back ACK to the seventh network element (eg, AI resource management function).
  • the third network element eg, AI service management function
  • Step 18 The seventh network element (eg, the AI resource management function) sends a resource release indication to the fourth network element (eg, the AI resource node), and the fourth network element (eg, the AI resource node) releases the AI resources.
  • the fourth network element eg, the AI resource node
  • Step 19 The second network element (eg, OTT server) calculates the verification result.
  • Step 20 The second network element (e.g., OTT server) feeds back the verification result to the third network element (e.g., AI service management function), for example, by forwarding it through the fifth network element (e.g., network open function).
  • the information included in the verification result may be the content included in the above verification result, and will not be repeated here to avoid repetition.
  • Step 21a The third network element (eg, AI service management function) forwards the verification result to the sixth network element (eg, AI model management function).
  • the sixth network element eg, AI model management function
  • Step 21b the third network element (eg, AI service management function) forwards the verification result to the first network element (eg, policy calculation function).
  • the third network element eg, AI service management function
  • the AI service management function serves as the central control node. Due to the need to establish an AI verification service, the OTT server requests the AI service management function to establish an AI service; the AI service management function receives the AI service establishment request message and negotiates with the policy charging function to obtain the AI policy. As shown in Figure 8, the specific AI verification service processing process includes:
  • Step 1 The second network element (e.g., an OTT server) sends an AI service establishment request message to the fifth network element (e.g., a network open function), wherein the request message is used to request the network to establish a corresponding AI service for it; the request message is specifically the first message mentioned above, and the information included therein may be the content included in the first message mentioned above, and to avoid repetition, it will not be repeated here.
  • the fifth network element e.g., a network open function
  • the fifth network element (e.g., a network open function) authenticates the request message to determine whether the OTT server can request such AI service.
  • the fifth network element (such as a network open function) can request the OTT server's OTT-related data from the UDM/UDR, including but not limited to contract data, policy data, etc., to verify whether the AI service-related contract information exists; if it exists, execute subsequent processes; if it does not exist, the network open function rejects the OTT server's AI service establishment request.
  • the network open function rejects the OTT server's AI service establishment request.
  • Step 3 The fifth network element (eg, network open function) selects the AI service management function according to the received request message.
  • the fifth network element eg, network open function
  • the fifth network element may comprehensively consider some factors and use NRF or local configuration information to discover a matching AI service management function instance, and the factors considered may include at least one of the following:
  • First network element e.g. AI service management function
  • instance capabilities such as AI service processing latency, AI service processing accuracy, AI service computing capacity, etc.
  • the fifth network element (e.g., network open function) sends an AI service establishment request message to the AI service management function to convert external AI service requirements into AI policies and request allocation of corresponding resources and models for the AI service.
  • the AI service establishment request message includes at least one of the following: OTT server identifier, DNN, S-NSSAI, AI service identifier, model-related parameters, AI service management function address, AI service description information, etc.
  • Step 5 The first network element (eg, the AI service management function) negotiates the AI policy with the policy charging function.
  • the first network element eg, the AI service management function
  • the first network element eg, an AI service management function
  • a policy charging function may generate a corresponding AI policy based on information carried in an AI service establishment request message.
  • the first network element eg, AI service management function
  • the policy charging function should comprehensively consider the end-to-end service requirements of the AI service when allocating AI policies.
  • Step 6a to step 9 are the same as step 7a to step 10 in the above embodiment 1 and will not be repeated here.
  • the first network element e.g., the AI service management function
  • the response message is specifically the second message mentioned above, and the information included therein may be the content included in the second message mentioned above. To avoid repetition, it will not be repeated here.
  • the policy charging function and the first network element can be integrated; if integrated, step 5 is implemented inside the network element.
  • Step 11 The second network element (eg, an OTT server) sends the first data (ie, AI service data) to the fourth network element (eg, an AI resource node), where the first data is, for example, a model input data set for verification.
  • first data ie, AI service data
  • fourth network element eg, an AI resource node
  • the first data may be forwarded via a fifth network element (eg, a network open function).
  • a fifth network element eg, a network open function
  • the first data is interpretable data, or privately processed data, such as encrypted data.
  • a fourth network element obtains in-network data from a data source.
  • Step 13 The fourth network element (eg, AI resource node) performs model reasoning.
  • Step 14 The fourth network element (eg, an AI resource node) sends the second data (ie, AI service data) to the OTT server, where the second data is the model output result provided by the network, such as an inference result.
  • the second data ie, AI service data
  • the second data may be forwarded via a fifth network element (eg, a network open function).
  • a fifth network element eg, a network open function
  • the second data is interpretable data, or privately processed data, such as encrypted data.
  • Step 15 The seventh network element (eg, AI resource management function) sends an inference end notification to the third network element (eg, AI service management function); the third network element (eg, AI service management function) feeds back ACK to the seventh network element (eg, AI resource management function).
  • the third network element eg, AI service management function
  • Step 16 The seventh network element (e.g., AI resource management function) sends a resource to the fourth network element (e.g., AI resource node).
  • the source release indication is that the fourth network element (eg, an AI resource node) releases the AI resource.
  • Step 17 The second network element (eg, OTT server) calculates the verification result.
  • Step 18 The second network element (e.g., OTT server) feeds back the verification result to the third network element (e.g., AI service management function), for example, by forwarding it through the fifth network element (e.g., network open function).
  • the information included in the verification result may be the content included in the above verification result, and will not be repeated here to avoid repetition.
  • Step 19a The third network element (eg, AI service management function) forwards the verification result to the sixth network element (eg, AI model management function).
  • the sixth network element eg, AI model management function
  • a third network element eg, an AI service management function forwards the verification result to the policy calculation function.
  • the operator network can not only provide AI business processing services for the OTT server and expand the operator's business scenarios, but also ensure the security of OTT server data flow.
  • the service processing method provided in the embodiment of the present application can be executed by a service processing device.
  • the service processing device provided in the embodiment of the present application is described by taking the service processing method executed by the service processing device as an example.
  • FIG. 9 is a schematic diagram of the structure of a service processing device provided in an embodiment of the present application.
  • the device is applied to a first network element.
  • the service processing device 90 includes:
  • a first receiving module 91 is used to receive a first message sent by a second network element, where the first message is used to request to establish an AI service for the second network element, where the AI service is a verification service;
  • the first sending module 92 is used to send a second message to the second network element, where the second message is used to respond to the first message; the first network element is a core network element, and the second network element is a third-party server.
  • the first message includes at least one of the following:
  • a first indication indicating the format of input or output data of the AI unit used for the verification service
  • a second instruction indicates a performance verification method of the AI unit
  • a third instruction indicating a reporting format of the verification result of the verification service
  • a fourth indication indicating a privacy mode of the AI unit for the authentication service provided by the second network element
  • the second message includes at least one of the following:
  • the fifth indication is used to indicate a verification indicator of the AI service, or to indicate that the second network element determines the verification indicator of the AI service;
  • the service processing device 90 further includes:
  • the second sending module is used to send a third message to a third network element, where the third message is used to request allocation of AI resources or required AI units for the AI service.
  • the business processing device 90 provided in the embodiment of the present application can implement each process implemented by the business processing method embodiment shown in Figure 2 and achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • FIG. 10 is a schematic diagram of the structure of a service processing device provided in an embodiment of the present application.
  • the device is applied to a second network element.
  • the service processing device 100 includes:
  • the third sending module 101 is used to send a first message to the first network element, where the first message is used to request to establish an AI service for the second network element, and the AI service is a verification service;
  • the second receiving module 102 is used to receive a second message sent by the first network element, wherein the second message is used to respond to the first message.
  • the first message includes at least one of the following:
  • a first indication indicating the format of input or output data of the AI unit used for the verification service
  • a second instruction indicating a performance verification method of the AI unit used for the verification service
  • a third instruction indicating a reporting format of the verification result of the verification service
  • a fourth indication indicating a privacy mode of the AI unit for the authentication service provided by the second network element
  • the second message includes at least one of the following:
  • the fifth indication is used to indicate a verification indicator of the AI service, or to indicate that the second network element determines the verification indicator of the AI service;
  • the service processing device 100 further includes:
  • the fourth sending module is used to send first data to a fourth network element, wherein the first data includes input data of the AI unit.
  • the fourth sending module is specifically used to: send the first data to the fourth network element through a fifth network element.
  • the service processing device 100 further includes:
  • the third receiving module is used to receive second data sent by the fourth network element, wherein the second data includes the output result of the AI unit.
  • the service processing device 100 further includes:
  • a fifth sending module is configured to send a verification result to a third network element, where the verification result includes at least one of the following:
  • the type of service used for the verification service is the type of service used for the verification service
  • a generalization indicator of the AI unit is a generalization indicator of the AI unit
  • the accuracy level of the AI unit is the accuracy level of the AI unit
  • AI unit identifier
  • the generalization index of the AI unit includes at least one of the following:
  • First information including: an identifier of a first data set, an identifier of a second data set, and a difference in an indicator of the AI unit under the second data set and the first data set, the first data set being a data set for AI unit training, and the second data set being a data set for AI unit verification;
  • the second information comprising: a sixth indication, an indicator threshold of the AI unit under a supportable data set, the sixth indication being used to indicate a data set that the AI unit can support;
  • the third information including: an identifier of a first scenario, an identifier of a second scenario, and a difference in an indicator of the AI unit in the second scenario and the first scenario, the first scenario being a scenario during AI unit training, and the second scenario being a scenario during AI unit verification;
  • the fourth information comprising: a seventh indication, an indicator threshold of the AI unit in a supportable scenario, the seventh indication being used to indicate a scenario that the AI unit can support;
  • the fifth information including: an identifier of a first field, an identifier of a second field, and a difference between an indicator of the AI unit in the second field and the first field, the first field being a field during AI unit training, and the second field being a field during AI unit verification;
  • the sixth information includes: an eighth indication and an indicator threshold of the AI unit in a supportable field, and the eighth indication is used to indicate the supportable field of the AI unit.
  • the business processing device 100 provided in the embodiment of the present application can implement each process implemented by the business processing method embodiment shown in Figure 3 and achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • FIG. 11 is a schematic diagram of the structure of a service processing device provided in an embodiment of the present application.
  • the device is applied to a third network element.
  • the service processing device 110 includes:
  • a sixth sending module 111 configured to send a fourth message to a sixth network element, where the fourth message is used to request an AI unit required for an AI service, where the AI service is a verification service;
  • the fourth receiving module 112 is configured to receive a response message to the fourth message returned by the sixth network element, wherein the response The message is used to indicate the AI unit required for the AI service.
  • the fourth message includes at least one of the following:
  • the type of service used for the verification service is the type of service used for the verification service
  • the generalizability indicator of the AI unit used for the verification business is the generalizability indicator of the AI unit used for the verification business.
  • the generalization index of the AI unit includes at least one of the following:
  • the second information comprising: a sixth indication, an indicator threshold of the AI unit under a supportable data set, the sixth indication being used to indicate a data set that the AI unit can support;
  • the fourth information comprising: a seventh indication, an indicator threshold of the AI unit in a supportable scenario, the seventh indication being used to indicate a scenario that the AI unit can support;
  • the fifth information including: an identifier of a first field, an identifier of a second field, and a difference between an indicator of the AI unit in the second field and the first field, the first field being a field during AI unit training, and the second field being a field during AI unit verification;
  • the sixth information includes: an eighth indication and an indicator threshold of the AI unit in a supportable field, and the eighth indication is used to indicate the supportable field of the AI unit.
  • the service processing device 110 further includes:
  • a seventh sending module is configured to send a fifth message to a seventh network element, where the fifth message is used to request AI resources for the AI service, and the fifth message includes at least one of the following:
  • the service processing device 110 further includes:
  • the eighth sending module is used to send the verification result to the first network element or the sixth network element, and the verification result includes at least one of the following: the verification party identification; the service type; whether the AI unit reaches the expected performance; the generalization index of the AI unit; the application scope of the AI unit; the accuracy level of the AI unit; the accuracy of the AI unit; and the identification of the AI unit.
  • the business processing device 110 provided in the embodiment of the present application can implement each process implemented by the business processing method embodiment shown in Figure 4 and achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • a processing module 122 configured to perform AI unit processing according to the first data
  • the ninth sending module 123 is used to send second data to the second network element, where the second data includes the output result of the AI unit.
  • the sixth receiving module 121 is specifically used to: receive the first data sent by the second network element through a fifth network element.
  • the ninth sending module 123 is specifically used to: send the second data to the second network element through the fifth network element.
  • the service processing device 120 further includes:
  • the service processing device 120 further includes:
  • the business processing device 120 provided in the embodiment of the present application can implement each process implemented by the business processing method embodiment shown in Figure 5 and achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • FIG. 13 is a schematic diagram of the structure of a service processing device provided in an embodiment of the present application.
  • the device is applied to a sixth network element.
  • the service processing device 130 includes:
  • the tenth sending module 132 is used to send a response message of the fourth message to the third network element, where the response message is used to indicate the AI unit required for the AI service.
  • the fourth message includes at least one of the following:
  • the type of service used for the verification service is the type of service used for the verification service
  • the service processing device 130 further includes:
  • An eighth receiving module is configured to receive a verification result sent by the third network element, where the verification result includes at least one of the following:
  • a generalization indicator of the AI unit is a generalization indicator of the AI unit
  • the accuracy level of the AI unit is the accuracy level of the AI unit
  • the identification of the AI unit is the identification of the AI unit.
  • the service processing device 130 further includes:
  • An updating module is used to update the expected accuracy in the AI unit description information according to the verification result.
  • the business processing device 130 provided in the embodiment of the present application can implement each process implemented by the business processing method embodiment shown in Figure 6 and achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • the first network element is used to: receive a first message sent by the second network element, the first message is used to request to establish an AI service for the second network element, and the AI service is a verification service; send a second message to the second network element, and the second message is used to respond to the first message;
  • the second network element is used to: send a first message to the first network element, where the first message is used to request to establish an AI service for the second network element; and receive a second message sent by the first network element, where the second message is used to respond to the first message;
  • the third network element is used to: send a fourth message to the sixth network element, where the fourth message is used to request an AI unit required for the AI service, and receive a response message to the fourth message returned by the sixth network element, where the response message is used to indicate the AI unit required for the AI service;
  • the fourth network element is used to: receive first data sent by the second network element, the first data including the AI unit input data; perform AI unit processing according to the first data; send second data to the second network element, the second data including the output result of the AI unit;
  • the sixth network element is used to: receive a fourth message sent by the third network element, where the fourth message is used to request the AI unit required for the AI service; and send a response message to the fourth message to the third network element, where the response message is used to indicate the AI unit required for the AI service.
  • the communication system further includes a fifth network element, wherein:
  • the fourth network element is further configured to: receive first data sent by the second network element through the fifth network element, and send second data to the second network element through the fifth network element.
  • the communication system further includes a seventh network element, wherein:
  • the third network element is further used to: send a fifth message to the seventh network element, where the fifth message is used to request AI resources for the AI service;
  • the fourth network element is further used to: receive configuration information sent by the seventh network element, where the configuration information is used to configure AI resources.
  • an embodiment of the present application also provides a communication device 140, including a processor 141 and a memory 142, and the memory 142 stores programs or instructions that can be run on the processor 141.
  • the program or instruction is executed by the processor 141, the various steps of the above-mentioned business processing method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.
  • the embodiment of the present application also provides a communication device, including a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the steps of the above-mentioned service processing method embodiment.
  • the communication device embodiment corresponds to the above-mentioned method embodiment, and each implementation process and implementation method of the above-mentioned method embodiment can be applied to the communication device embodiment and can achieve the same technical effect.
  • the embodiment of the present application further provides a network side device.
  • the network side device 150 includes: a processor 151, a network interface 152 and a memory 153.
  • the network interface 152 is, for example, a common public radio interface (CPRI).
  • CPRI common public radio interface
  • the network side device 150 of the embodiment of the present application also includes: instructions or programs stored in the memory 153 and executable on the processor 151.
  • the processor 151 calls the instructions or programs in the memory 153 to execute the above-mentioned business processing method and achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored.
  • a program or instruction is stored.
  • the program or instruction is executed by a processor, each process of the above-mentioned business processing method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.
  • the processor is the processor in the terminal described in the above embodiment.
  • the readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.
  • the readable storage medium may be a non-transient readable storage medium.
  • the present application embodiment further provides a chip, the chip comprising a processor and a communication interface, the communication interface and The processor is coupled, and the processor is used to run programs or instructions to implement each process of the above-mentioned business processing method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.
  • the embodiments of the present application further provide a computer program/program product, which is stored in a storage medium and is executed by at least one processor to implement the various processes of the above-mentioned business processing method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • An embodiment of the present application also provides a communication system, including: a first network element, a second network element, a third network element, a fourth network element and a sixth network element, wherein the first network element can be used to execute the steps of the method described in Figure 2, the second network element can be used to execute the steps of the method described in Figure 3, the third network element can be used to execute the steps of the method described in Figure 4, the fourth network element can be used to execute the steps of the method described in Figure 5, and the sixth network element can be used to execute the steps of the method described in Figure 6.

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Abstract

La présente demande se rapporte au domaine technique des communications et divulgue un procédé et un appareil de traitement de service, ainsi qu'un dispositif de communication et un support de stockage lisible. Selon des modes de réalisation de la présente demande, le procédé de traitement de service comprend les étapes suivantes : un premier élément réseau reçoit un premier message envoyé par un second élément réseau, le premier message servant à demander d'établir un service d'intelligence artificielle (IA) pour le second élément réseau, et le service d'IA étant un service de vérification ; et envoie un second message au second élément réseau, le second message servant à répondre au premier message, le premier élément réseau étant un élément réseau central, et le second élément réseau étant un serveur tiers.
PCT/CN2024/107681 2023-08-02 2024-07-26 Procédé et appareil de traitement de service, dispositif de communication et support de stockage lisible Pending WO2025026193A1 (fr)

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CN202310969439.4A CN119450415A (zh) 2023-08-02 2023-08-02 业务处理方法、装置、通信设备及可读存储介质
CN202310969439.4 2023-08-02

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