WO2024168917A1 - Procédé d'enregistrement de modèle d'ia, et appareil, dispositif et support de stockage - Google Patents

Procédé d'enregistrement de modèle d'ia, et appareil, dispositif et support de stockage Download PDF

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Publication number
WO2024168917A1
WO2024168917A1 PCT/CN2023/076988 CN2023076988W WO2024168917A1 WO 2024168917 A1 WO2024168917 A1 WO 2024168917A1 CN 2023076988 W CN2023076988 W CN 2023076988W WO 2024168917 A1 WO2024168917 A1 WO 2024168917A1
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Prior art keywords
model
terminal device
information
network side
side device
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PCT/CN2023/076988
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English (en)
Chinese (zh)
Inventor
牟勤
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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/CN2023/076988 priority Critical patent/WO2024168917A1/fr
Priority to CN202380008349.7A priority patent/CN116472756B/zh
Publication of WO2024168917A1 publication Critical patent/WO2024168917A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/54—Presence management, e.g. monitoring or registration for receipt of user log-on information, or the connection status of the users
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W60/00—Affiliation to network, e.g. registration; Terminating affiliation with the network, e.g. de-registration

Definitions

  • the present disclosure relates to the field of communication technology, and in particular to a registration method/device/equipment and storage medium for an AI model.
  • AI Artificial Intelligent
  • the AI model trained by the terminal device or the external server of the terminal device is deployed on the terminal device.
  • the terminal device needs to register the AI model with the network side device so that the network side device knows the AI model information of the terminal device, thereby facilitating the network side device to manage or monitor the AI model deployed on the terminal device.
  • the AI model registration method/device/equipment and storage medium proposed in the present disclosure are used for AI model registration.
  • an embodiment of the present disclosure provides a registration method for an AI model, which is applied to a terminal device, and the method includes:
  • an embodiment of the present disclosure provides a registration method for an AI model, which is applied to a network side device, and the method includes:
  • an embodiment of the present disclosure provides a communication device, which is configured in a terminal device, including:
  • the sending module is used to send AI model information corresponding to the AI model deployed by the terminal device to the network side device.
  • an embodiment of the present disclosure provides a communication device, which is configured in a network side device, including:
  • the receiving module is used to receive AI model information corresponding to the AI model deployed by the terminal device sent by the terminal device.
  • an embodiment of the present disclosure provides a communication device, which includes a processor.
  • the processor calls a computer program in a memory, the method described in the first aspect is executed.
  • an embodiment of the present disclosure provides a communication device, which includes a processor.
  • the processor calls a computer program in a memory, the method described in the second aspect is executed.
  • an embodiment of the present disclosure provides a communication device, which includes a processor and a memory, in which a computer program is stored; the processor executes the computer program stored in the memory so that the communication device executes the method described in the first aspect above.
  • an embodiment of the present disclosure provides a communication device, which includes a processor and a memory, in which a computer program is stored; the processor executes the computer program stored in the memory so that the communication device executes the method described in the second aspect above.
  • an embodiment of the present disclosure provides a communication device, which includes a processor and an interface circuit, wherein the interface circuit is used to receive code instructions and transmit them to the processor, and the processor is used to run the code instructions to enable the device to execute the method described in the first aspect above.
  • an embodiment of the present disclosure provides a communication device, which includes a processor and an interface circuit, wherein the interface circuit is used to receive code instructions and transmit them to the processor, and the processor is used to run the code instructions to enable the device to execute the method described in the second aspect above.
  • an embodiment of the present disclosure provides a communication system, which includes the communication device described in the third aspect to the communication device described in the fourth aspect, or the system includes the communication device described in the fifth aspect to the communication device described in the sixth aspect, or the system includes the communication device described in the seventh aspect to the communication device described in the eighth aspect, or the system includes the communication device described in the ninth aspect to the communication device described in the tenth aspect.
  • an embodiment of the present invention provides a computer-readable storage medium for storing instructions used for the above-mentioned network device.
  • the terminal device executes the method described in any one of the above-mentioned first to third aspects.
  • the present disclosure further provides a computer program product comprising a computer program, which, when executed on a computer, enables the computer to execute the method described in any one of the first to second aspects above.
  • the present disclosure provides a chip system, the chip system comprising at least one processor and an interface for supporting a network device
  • the chip system is equipped with a chip for implementing the functions involved in the method described in any one of the first aspect to the second aspect, for example, determining or processing at least one of the data and information involved in the above method.
  • the chip system also includes a memory, and the memory is used to store computer programs and data necessary for the source auxiliary node.
  • the chip system can be composed of a chip, or it can include a chip and other discrete devices.
  • the present disclosure provides a computer program, which, when executed on a computer, enables the computer to execute the method described in any one of the first to second aspects above.
  • FIG1 is a schematic diagram of the architecture of a communication system provided by an embodiment of the present disclosure.
  • FIG2 is a flow chart of a registration method for an AI model provided in another embodiment of the present disclosure.
  • FIG3 is a flow chart of a registration method for an AI model provided in yet another embodiment of the present disclosure.
  • FIG4a is a schematic diagram of a flow chart of an AI model registration method provided by yet another embodiment of the present disclosure.
  • FIG4b is a schematic diagram of a flow chart of an AI model registration method provided by yet another embodiment of the present disclosure.
  • FIG5 is a flow chart of a registration method for an AI model provided in another embodiment of the present disclosure.
  • FIG6 is a flowchart of a registration method for an AI model provided in yet another embodiment of the present disclosure.
  • FIG7 is a flowchart of a registration method for an AI model provided in yet another embodiment of the present disclosure.
  • FIG8 is a schematic diagram of a flow chart of a registration method for an AI model provided in one embodiment of the present disclosure
  • FIG9 is a schematic diagram of a flow chart of an AI model registration method provided by another embodiment of the present disclosure.
  • FIG10 is a schematic diagram of a flow chart of an AI model registration method provided in yet another embodiment of the present disclosure.
  • FIG11a is a schematic diagram of a flow chart of an AI model registration method provided by yet another embodiment of the present disclosure.
  • FIG11b is a schematic diagram of a flow chart of an AI model registration method provided by yet another embodiment of the present disclosure.
  • FIG12 is a schematic diagram of the structure of a communication device provided by an embodiment of the present disclosure.
  • FIG13 is a schematic diagram of the structure of a communication device provided by another embodiment of the present disclosure.
  • FIG14 is a block diagram of a user equipment provided by an embodiment of the present disclosure.
  • FIG15 is a block diagram of a network-side device provided by an embodiment of the present disclosure.
  • first, second, third, etc. may be used to describe various information in the disclosed embodiments, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other.
  • first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information.
  • the words "if” and “if” as used herein may be interpreted as “at” or "when” or "in response to determination”.
  • AI is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.
  • the various network elements/functions involved in the embodiments of the present disclosure may be an independent hardware device or a function implemented by computer code in a hardware device, which is not limited in the embodiments of the present disclosure.
  • FIG. 1 is a schematic diagram of the architecture of a communication system provided by an embodiment of the present disclosure.
  • the communication system may include, but is not limited to, a network device and a terminal device.
  • the number and form of devices shown in FIG. 1 are only used as examples and do not constitute a limitation on the embodiments of the present disclosure. In actual applications, two or more network devices and two or more terminal devices may be included.
  • the communication system shown in FIG. 1 includes, for example, a network device 11 and a terminal device 12.
  • LTE long term evolution
  • 5G fifth generation
  • NR 5G new radio
  • the network device 11 in the embodiment of the present disclosure is an entity on the network side for transmitting or receiving signals.
  • the network device 11 may be an evolved NodeB (eNB), a transmission reception point (TRP), a next generation NodeB (gNB) in an NR system, a base station in other future mobile communication systems, or an access node in a wireless fidelity (WiFi) system.
  • eNB evolved NodeB
  • TRP transmission reception point
  • gNB next generation NodeB
  • WiFi wireless fidelity
  • the embodiment of the present disclosure does not limit the specific technology and specific device form adopted by the network device.
  • the network device provided in the embodiment of the present disclosure may be composed of a central unit (CU) and a distributed unit (DU), wherein the CU may also be referred to as a control unit.
  • CU central unit
  • DU distributed unit
  • the CU-DU structure may be used to split the protocol layer of the network device, such as a base station, and the functions of some protocol layers are placed in the CU for centralized control, and the functions of the remaining part or all of the protocol layers are distributed in the DU, and the DU is centrally controlled by the CU.
  • the terminal device 12 in the disclosed embodiment is an entity on the user side for receiving or transmitting signals, such as a mobile phone.
  • the terminal device may also be referred to as a terminal device (terminal), a user equipment (UE), a mobile station (MS), a mobile terminal device (MT), etc.
  • the terminal device may be a car with communication function, a smart car, a mobile phone (mobile phone), a wearable device, a tablet computer (Pad), a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control (industrial control), a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in smart grid (smart grid), a wireless terminal device in transportation safety (transportation safety), a wireless terminal device in a smart city (smart city), a wireless terminal device in a smart home (smart home), etc.
  • the embodiments of the present disclosure do not limit the specific technology and specific device form adopted by the terminal device.
  • the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution provided by the embodiment of the present disclosure.
  • a person skilled in the art can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution provided by the embodiment of the present disclosure is also applicable to similar technical problems.
  • FIG2 is a flow chart of a registration method for an AI model provided by another embodiment of the present disclosure, wherein the method is executed by a terminal device.
  • the registration method for the AI model may include the following steps:
  • Step 201 Send AI model information corresponding to the AI model deployed by the terminal device to the network side device.
  • the above-mentioned AI model information may include an identifier corresponding to the AI model.
  • At least one AI model may be predefined, each predefined AI model has a corresponding predefined model identifier, different AI models may correspond to different AI model information, and the terminal device may send the identifier corresponding to the deployed AI model to the network side device, so that the network side device can determine the corresponding predefined AI model through the received AI model identifier, and determine the corresponding AI model information based on the predefined AI model, thereby completing the registration of the AI model deployed by the terminal device on the network side device.
  • the model identifier corresponding to the above-mentioned AI model can be generated by the terminal device.
  • a series of AI models can be predefined through negotiation between the terminal server and the network side device, or a series of AI models can be predefined based on the protocol standard, and a model identifier can be assigned to each AI model, and the terminal reports the AI model information by reporting the model identifier.
  • the network device in response to the terminal sending the model information of the AI model of the terminal device to the network side device, the network device will assign a model ID (Identity Document, serial number) to the AI model reported by the terminal device.
  • the terminal device will also report the model identifier of an AI model to the network-side device. At this time, the network-side device may not assign a model ID to the AI model, or may assign another model ID to the AI model.
  • At least one AI model may be predefined by the terminal device and the network side device. In another embodiment of the present disclosure, at least one AI model may be predefined based on a protocol standard.
  • the model information of the predefined AI model may include at least one of the following information:
  • the above-mentioned network side device may be a base station or a core network node.
  • the terminal device will send the AI model information corresponding to the AI model deployed by the terminal device to the network side device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the subsequent management or monitoring of the AI model deployed on the terminal device by the network side device.
  • FIG3 is a flow chart of a method for registering an AI model provided by another embodiment of the present disclosure. The method is executed by a terminal device. As shown in FIG3 , the method for registering an AI model may include the following steps:
  • Step 301 Send description information of the AI model to the network side device.
  • the description information of the AI model may include at least one of the following:
  • the terminal device can send description information of the AI model to the network side device so that the terminal device completes the registration of the AI model deployed by the terminal device on the network side device, thereby allowing the network side device to know the model information of the AI model deployed by the terminal device, and then enable the network side device to subsequently manage or monitor the AI model deployed on the terminal device.
  • the terminal device will send the AI model information corresponding to the AI model deployed by the terminal device to the network side device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the subsequent management or monitoring of the AI model deployed on the terminal device by the network side device.
  • FIG4a is a flow chart of a method for registering an AI model provided by another embodiment of the present disclosure. The method is executed by a terminal device. As shown in FIG4a , the method for registering an AI model may include the following steps:
  • Step 401a In response to the terminal device deploying the AI model, the terminal device actively reports the AI model information corresponding to the deployed AI model to the network side device.
  • the terminal device can actively send the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the terminal device completes the registration of the AI model deployed by the terminal device on the network side device, thereby allowing the network side device to know the AI model information of the AI model deployed by the terminal device.
  • the terminal device will send the AI model information corresponding to the AI model deployed by the terminal device to the network side device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the subsequent management or monitoring of the AI model deployed on the terminal device by the network side device.
  • FIG4b is a flow chart of a registration method for an AI model provided by another embodiment of the present disclosure, wherein the method is performed by a terminal device
  • the AI model registration method may include the following steps:
  • Step 401b Receive a report message sent by the network side device.
  • Step 402b Report AI model information corresponding to the deployed AI model to the network side device.
  • the terminal device in response to the terminal device receiving a reporting message sent by the network side device, the terminal device will report the AI model information corresponding to the deployed AI model to the network side device.
  • a terminal device if a terminal device receives a reporting message sent by a network side device, the terminal device will report the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the terminal device completes the registration of the AI model deployed by the terminal device on the network side device, thereby enabling the network side device to know the AI model information of the AI model deployed by the terminal device, and then enable the network side device to subsequently manage or monitor the AI model deployed on the terminal device.
  • the terminal device will send the AI model information corresponding to the AI model deployed by the terminal device to the network side device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the subsequent management or monitoring of the AI model deployed on the terminal device by the network side device.
  • FIG5 is a flow chart of a method for registering an AI model provided by another embodiment of the present disclosure. The method is executed by a terminal device. As shown in FIG5 , the method for registering an AI model may include the following steps:
  • Step 501 Receive AI operations supported by the network side device and sent by the network side device.
  • the terminal device receives AI operations supported by the network side device sent by the network side device, including AI-based CSI (Channel State Information) enhancement and AI-based beam management.
  • AI-based CSI Channel State Information
  • AI-based beam management including AI-based CSI (Channel State Information) enhancement and AI-based beam management.
  • Step 502 According to the AI operations supported by the network side device, determine to report to the network side device the AI model corresponding to the AI operations supported by the network side device.
  • the terminal device after the terminal device receives the AI operation supported by the network side device sent by the network side device through step 501, it can determine the AI model that supports the AI operation in the AI models deployed by the terminal device according to the AI operation supported by the network side device, and report the AI model information of the AI model corresponding to the AI operation to the network side device.
  • a terminal device when a terminal device receives a message from a network side device indicating that the AI operations supported by the network side device include AI-based CSI enhancement and AI-based beam management, the terminal device reports to the network side device the AI model information corresponding to the AI model that supports AI-based CSI and AI-based beam management in the AI model deployed by the terminal device.
  • the terminal device will send the AI model information corresponding to the AI model deployed by the terminal device to the network side device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the subsequent management or monitoring of the AI model deployed on the terminal device by the network side device.
  • FIG6 is a flow chart of a method for registering an AI model provided by another embodiment of the present disclosure. The method is executed by a terminal device. As shown in FIG6 , the method for registering an AI model may include the following steps:
  • Step 601 Receive a model identifier assigned by a network-side device based on AI model information.
  • the terminal device after the terminal device sends the AI model information corresponding to the AI model deployed by the terminal device to the network side device, the terminal device can receive the model identifier assigned by the network side device according to the AI model information.
  • the above-mentioned model identifier can be a model ID.
  • the terminal device when the terminal device sends AI model information corresponding to the AI model deployed by the terminal device to the network side device, including an identifier corresponding to the AI model, the terminal device may not receive the model identifier assigned by the network side device, or the terminal device receives another different model identifier assigned by the network side device to the AI model for distinction.
  • the terminal device sends the terminal device to the network side device. That is, in the present disclosure, the terminal device sends the AI model information corresponding to the AI model deployed by the terminal device to the network side device, thereby completing the registration of the AI model deployed by the terminal device on the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the network side device to subsequently manage or monitor the AI model deployed on the terminal device.
  • FIG. 7 is a flow chart of a method for registering an AI model provided by another embodiment of the present disclosure. The method is executed by a network-side device. As shown in FIG. 7 , the method for registering an AI model may include the following steps:
  • Step 701 Receive AI model information corresponding to the AI model deployed by the terminal device and sent by the terminal device.
  • the above-mentioned AI model information may include an identifier corresponding to the AI model.
  • At least one AI model may be predefined, each predefined AI model has a corresponding predefined model identifier, different AI models may correspond to different AI model information, and the network side device may determine the corresponding predefined AI model by receiving the identifier corresponding to the AI model deployed by the terminal device sent by the terminal device, and determine the corresponding AI model information based on the predefined AI model, thereby completing the registration of the AI model deployed by the terminal device on the network side device.
  • the identifier corresponding to the above AI model can be generated by the terminal device.
  • At least one AI model may be predefined by the terminal device and the network side device. In another embodiment of the present disclosure, at least one AI model may be predefined based on a protocol standard.
  • the model information of the predefined AI model may include at least one of the following information:
  • the above-mentioned network side device may be a base station or a core network node.
  • the network side device will receive the AI model information corresponding to the AI model deployed by the terminal device sent by the terminal device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the network side device to subsequently manage or monitor the AI model deployed on the terminal device.
  • FIG8 is a flow chart of a method for registering an AI model provided by an embodiment of the present disclosure. The method is executed by a network-side device. As shown in FIG8 , the method for registering an AI model may include the following steps:
  • Step 801 Receive description information of the AI model sent by the terminal device.
  • the description information of the AI model may include at least one of the following:
  • the network side device can obtain the model information of the AI model deployed by the terminal device by receiving the description information of the AI model sent by the terminal device, thereby facilitating the network side device to subsequently manage or monitor the AI model deployed on the terminal device.
  • the network side device receives the terminal device sent by the terminal device.
  • AI model information corresponding to the AI model deployed by the terminal device That is, in the present disclosure, the terminal device sends the AI model information corresponding to the AI model deployed by the terminal device to the network side device, thereby completing the registration of the AI model deployed by the terminal device on the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the network side device to subsequently manage or monitor the AI model deployed on the terminal device.
  • FIG9 is a flow chart of a registration method for an AI model provided by another embodiment of the present disclosure. The method is executed by a network-side device. As shown in FIG9 , the registration method for the AI model may include the following steps:
  • Step 901 Send a reporting message to the terminal device, where the reporting message is used to instruct the terminal device to report AI model information corresponding to the AI model.
  • the network side device can send a reporting message to the terminal to instruct the terminal device to report the AI model information corresponding to the reported AI model. And, when the terminal device receives the reporting message sent by the network side device, the terminal device will send the AI model information corresponding to the AI model deployed by the terminal device to the network side device, thereby completing the registration of the AI model deployed by the terminal device on the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, and then facilitates the network side device to manage or monitor the AI model deployed on the terminal device in the future.
  • the network side device will receive the AI model information corresponding to the AI model deployed by the terminal device sent by the terminal device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the network side device to subsequently manage or monitor the AI model deployed on the terminal device.
  • FIG10 is a flow chart of a method for registering an AI model provided by another embodiment of the present disclosure.
  • the method is executed by a network-side device.
  • the method for registering an AI model may include the following steps:
  • Step 1001 Send AI operations supported by the network side device to the terminal device.
  • the AI operations supported by the network side device sent by the network side device to the terminal device include AI-based CSI (Channel State Information) enhancement and AI-based beam management.
  • AI-based CSI Channel State Information
  • the AI model reported by the terminal device and received by the network side device is generated according to the AI operations supported by the network side device.
  • the terminal device can determine the AI model that supports the AI operation among the AI models deployed by the terminal device based on the AI operation supported by the network side device, and report the AI model information of the AI model corresponding to the AI operation to the network side device.
  • the network side device will receive the AI model information corresponding to the AI model deployed by the terminal device sent by the terminal device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the network side device to subsequently manage or monitor the AI model deployed on the terminal device.
  • FIG. 11a is a flow chart of a method for registering an AI model provided by another embodiment of the present disclosure. The method is executed by a network-side device. As shown in FIG. 11a , the method for registering an AI model may include the following steps:
  • Step 1101a Send a model identifier assigned according to the AI model information to the terminal device.
  • the network device can assign a model identifier to the AI model according to the AI model information of the AI model sent by the terminal device.
  • the above-mentioned model identifier can be a model ID.
  • the network side device when the terminal device sends AI model information corresponding to the AI model deployed by the terminal device to the network side device, including an identifier corresponding to the AI model, the network side device may not assign a model identifier to the AI model, or the network side device may assign another different model identifier to the AI model for distinction.
  • the network side device will receive the AI model information corresponding to the AI model deployed by the terminal device sent by the terminal device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the network side device to subsequently manage or monitor the AI model deployed on the terminal device.
  • FIG. 11b is a flow chart of a method for registering an AI model provided by another embodiment of the present disclosure. The method is executed by a network-side device. As shown in FIG. 11b , the method for registering an AI model may include the following steps:
  • Step 1101b When the terminal device switches cells, the target base station obtains the AI model information of the AI model supported by the terminal device.
  • the target base station corresponding to the target cell to which the terminal device switches needs to obtain the AI model information of the AI model supported by the terminal device to complete the registration of the AI model deployed by the terminal device on the target base station, thereby eliminating the need to re-interact with the target base station to complete the registration.
  • the method by which the target base station obtains the AI model information of the AI model supported by the terminal device is also different.
  • the source base station may send the AI model information of the AI model deployed by the terminal device to the target base station corresponding to the target cell of the terminal device.
  • the method for the target base station to obtain the AI model information of the AI model supported by the terminal device may include: the target base station receives the AI model information of the AI model supported by the terminal device sent by the source base station.
  • the method for the target base station to obtain the AI model information of the AI model supported by the terminal device may include: the target base station obtains the AI model information of the AI model supported by the terminal device from the core network node.
  • the network side device will receive the AI model information corresponding to the AI model deployed by the terminal device sent by the terminal device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the network side device to subsequently manage or monitor the AI model deployed on the terminal device.
  • FIG12 is a schematic diagram of the structure of a communication device provided by an embodiment of the present disclosure. As shown in FIG12 , the device may include:
  • the sending module 1201 is used to send AI model information corresponding to the AI model deployed by the terminal device to the network side device.
  • the terminal device will send the AI model information corresponding to the AI model deployed by the terminal device to the network side device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the subsequent management or monitoring of the AI model deployed on the terminal device by the network side device.
  • the AI model information includes an identifier corresponding to the AI model.
  • At least one AI model is predefined, each predefined AI model has a corresponding predefined model identifier, and the model information of the predefined AI model includes at least one of the following information:
  • an identifier corresponding to the AI model is generated by a terminal device.
  • the above device is also used for:
  • the description information of the AI model includes at least one of the following:
  • the terminal device in response to the terminal device deploying the AI model, the terminal device proactively reports AI model information corresponding to the deployed AI model to the network side device.
  • the terminal device in response to receiving a reporting message sent by a network side device, reports AI model information corresponding to the deployed AI model to the network side device.
  • the above device is also used for:
  • the AI operations supported by the network side device determine the AI model corresponding to the AI operations supported by the network side device to be reported to the network side device.
  • the above device is also used for:
  • FIG. 13 is a schematic diagram of the structure of a communication device provided by another embodiment of the present disclosure. As shown in FIG. 13 , the device may include:
  • the receiving module 1301 is used to receive AI model information corresponding to the AI model deployed by the terminal device and sent by the terminal device.
  • the network side device will receive the AI model information corresponding to the AI model deployed by the terminal device sent by the terminal device. That is, in the present disclosure, the terminal device completes the registration of the AI model deployed by the terminal device on the network side device by sending the AI model information corresponding to the AI model deployed by the terminal device to the network side device, so that the network side device knows the model information of the AI model deployed by the terminal device, thereby facilitating the subsequent management or monitoring of the AI model deployed on the terminal device by the network side device.
  • the AI model information includes an identifier corresponding to the AI model.
  • At least one AI model is predefined, each predefined AI model has a corresponding predefined model identifier, and the model information of the predefined AI model includes at least one of the following information:
  • the above device is further used for:
  • Receive description information of the AI model sent by the terminal device wherein the description information of the AI model includes at least one of the following:
  • the above device is further used for:
  • a reporting message is sent to the terminal device, wherein the reporting message is used to instruct the terminal device to report AI model information corresponding to the AI model.
  • the above device is also used for:
  • the AI operations supported by the network side device are sent to the terminal device, wherein the AI model reported by the terminal device is generated according to the AI operations supported by the network side device.
  • the above device is also used for:
  • the above device is also used for:
  • the target base station When a cell switching occurs in a terminal device, the target base station obtains the AI model information of the AI model supported by the terminal device.
  • the above device is also used for:
  • the target base station receives AI model information of the AI model supported by the terminal device sent by the source base station.
  • the above device is also used for:
  • the target base station obtains the AI model information of the AI model supported by the terminal device from the core network node.
  • FIG 14 is a schematic diagram of the structure of a communication device 1400 provided in an embodiment of the present application.
  • the communication device 1400 can be a network device, or a terminal device, or a chip, a chip system, or a processor that supports the network device to implement the above method, or a chip, a chip system, or a processor that supports the terminal device to implement the above method.
  • the device can be used to implement the method described in the above method embodiment, and the details can be referred to the description in the above method embodiment.
  • the communication device 1400 may include one or more processors 1401.
  • the processor 1401 may be a general-purpose processor or a dedicated processor, etc.
  • it may be a baseband processor or a central processing unit.
  • the baseband processor may be used to process the communication protocol and communication data
  • the central processing unit may be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute a computer program, and process the data of the computer program.
  • the communication device 1400 may further include one or more memories 1402, on which a computer program 1404 may be stored, and the processor 1401 executes the computer program 1404 so that the communication device 1400 performs the method described in the above method embodiment.
  • data may also be stored in the memory 1402.
  • the communication device 1400 and the memory 1402 may be provided separately or integrated together.
  • the communication device 1400 may further include a transceiver 1405 and an antenna 1406.
  • the transceiver 1405 may be referred to as a transceiver unit, a transceiver, or a transceiver circuit, etc., and is used to implement a transceiver function.
  • the transceiver 1405 may include a receiver and a transmitter, the receiver may be referred to as a receiver or a receiving circuit, etc., and is used to implement a receiving function; the transmitter may be referred to as a transmitter or a transmitting circuit, etc., and is used to implement a transmitting function.
  • the communication device 1400 may further include one or more interface circuits 1407.
  • the interface circuit 1407 is used to receive code instructions and transmit them to the processor 1401.
  • the processor 1401 runs the code instructions to enable the communication device 1400 to perform the method described in the above method embodiment.
  • the communication device 1400 is a terminal device: the transceiver 1405 is used to execute steps 301-302 in FIG. 3; steps 401 to 402 in FIG. 4; steps 501 to 503 in FIG. 5; steps 601a to 603a in FIG. 6a; and steps 601b to 602b in FIG. 6b.
  • the processor 1401 is used to execute step 201 in FIG. 2; steps 303-304 in FIG. 3; step 403 in FIG. 4; steps 504 and 505 in FIG. 5; step 604a in FIG. 6a; step 603b in FIG. 6b; and steps 701-702 in FIG. 7.
  • the communication device 1400 is a network device: the transceiver 1405 is used to execute step 1102a in Figure 11a.
  • the processor 1401 is used to execute step 801 in Figure 8; steps 901 to 904 in Figure 9; steps 1001 to 1005 in Figure 10; step 1101a in Figure 11a; and steps 1101b and 1102b in Figure 11b.
  • the processor 1401 may include a transceiver for implementing the receiving and sending functions.
  • the transceiver may be a transceiver circuit, an interface, or an interface circuit.
  • the transceiver circuit, interface, or interface circuit for implementing the receiving and sending functions may be separate or integrated.
  • the above-mentioned transceiver circuit, interface, or interface circuit may be used for reading and writing code/data, or the above-mentioned transceiver circuit, interface, or interface circuit may be used for transmitting or delivering signals.
  • the processor 1401 may store a computer program 1403, which runs on the processor 1401 and enables the communication device 1400 to perform the method described in the above method embodiment.
  • the computer program 1403 may be fixed in the processor 1401, in which case the processor 1401 may be implemented by hardware.
  • the communication device 1400 may include a circuit that can implement the functions of sending or receiving or communicating in the aforementioned method embodiments.
  • the processor and transceiver described in this application can be implemented in an integrated circuit (IC), an analog IC, a radio frequency integrated circuit RFIC, a mixed signal IC, an application specific integrated circuit (ASIC), a printed circuit board (PCB), an electronic device, etc.
  • the processor and transceiver can also be manufactured using various IC process technologies, such as complementary metal oxide semiconductor (CMOS), N-type metal Oxide semiconductor (nMetal-oxide-semiconductor, NMOS), P-type metal oxide semiconductor (positive channel metal oxide semiconductor, PMOS), bipolar junction transistor (bipolar junction transistor, BJT), bipolar CMOS (BiCMOS), silicon germanium (SiGe), gallium arsenide (GaAs), etc.
  • CMOS complementary metal oxide semiconductor
  • N-type metal Oxide semiconductor nMetal-oxide-semiconductor
  • PMOS bipolar junction transistor
  • BJT bipolar CMOS
  • SiGe silicon germanium
  • GaAs gallium arsenide
  • the communication device described in the above embodiments may be a network device or a terminal device, but the scope of the communication device described in the present application is not limited thereto, and the structure of the communication device may not be limited by FIG. 14.
  • the communication device may be an independent device or may be part of a larger device.
  • the communication device may be:
  • the IC set may also include a storage component for storing data and computer programs;
  • ASIC such as modem
  • the communication device can be a chip or a chip system
  • the communication device can be a chip or a chip system
  • the schematic diagram of the chip structure shown in Figure 15 includes a processor 1501 and an interface 1502.
  • the number of processors 1501 can be one or more, and the number of interfaces 1502 can be multiple.
  • the chip further includes a memory 1503, and the memory 1503 is used to store necessary computer programs and data.
  • the present application also provides a readable storage medium having instructions stored thereon, which implement the functions of any of the above method embodiments when executed by a computer.
  • the present application also provides a computer program product, which implements the functions of any of the above method embodiments when executed by a computer.
  • the computer program product includes one or more computer programs.
  • the computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.
  • the computer program can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium.
  • the computer program can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center.
  • the computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated.
  • the available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a magnetic tape), an optical medium (e.g., a high-density digital video disc (DVD)), or a semiconductor medium (e.g., a solid state disk (SSD)), etc.
  • a magnetic medium e.g., a floppy disk, a hard disk, a magnetic tape
  • an optical medium e.g., a high-density digital video disc (DVD)
  • DVD high-density digital video disc
  • SSD solid state disk
  • At least one in the present application can also be described as one or more, and a plurality can be two, three, four or more, which is not limited in the present application.
  • the technical features in the technical feature are distinguished by “first”, “second”, “third”, “A”, “B”, “C” and “D”, etc., and there is no order of precedence or size between the technical features described by the "first”, “second”, “third”, “A”, “B”, “C” and “D”.
  • the correspondences shown in the tables in this application can be configured or predefined.
  • the values of the information in each table are only examples and can be configured to other values. This application does not limit this.
  • the corresponding relationships shown in some rows may not be configured.
  • appropriate deformation adjustments can be made based on the above table, such as splitting, merging, etc.
  • the names of the parameters shown in the titles of the above tables may also use other names that can be understood by the communication device, and the values or representations of the parameters may also be other values or representations that can be understood by the communication device.
  • other data structures may also be used, such as arrays, queues, containers, stacks, linear lists, pointers, linked lists, trees, graphs, structures, classes, heaps, hash tables or hash tables, etc.
  • the predefined in the present application may be understood as defined, predefined, stored, pre-stored, pre-negotiated, pre-configured, solidified, or pre-burned.

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

Abstract

La présente divulgation appartient au domaine technique des communications. La divulgation concerne un procédé d'enregistrement de modèle d'IA, ainsi qu'un appareil, un dispositif et un support de stockage. Le procédé comprend les étapes suivantes : un dispositif terminal envoie, à un dispositif côté réseau, des informations de modèle d'IA correspondant à un modèle d'IA qui est déployé sur le dispositif terminal. Par conséquent, la présente divulgation concerne le procédé d'enregistrement de modèle d'IA, de telle sorte qu'un modèle d'IA qui est déployé sur un dispositif terminal est enregistré sur un dispositif côté réseau, et le dispositif côté réseau connaît ensuite des informations de modèle du modèle d'IA qui est déployé sur le dispositif terminal, ce qui permet la gestion ou la surveillance ultérieure du modèle d'IA qui est déployé sur le dispositif terminal au moyen du dispositif côté réseau.
PCT/CN2023/076988 2023-02-17 2023-02-17 Procédé d'enregistrement de modèle d'ia, et appareil, dispositif et support de stockage Ceased WO2024168917A1 (fr)

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PCT/CN2023/076988 WO2024168917A1 (fr) 2023-02-17 2023-02-17 Procédé d'enregistrement de modèle d'ia, et appareil, dispositif et support de stockage
CN202380008349.7A CN116472756B (zh) 2023-02-17 2023-02-17 一种ai模型的注册方法/装置/设备及存储介质

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