CN118283595A

CN118283595A - AI model transmission method, terminal and network side equipment

Info

Publication number: CN118283595A
Application number: CN202211712552.6A
Authority: CN
Inventors: 杨昂
Original assignee: Vivo Mobile Communication Co Ltd
Current assignee: Vivo Mobile Communication Co Ltd
Priority date: 2022-12-29
Filing date: 2022-12-29
Publication date: 2024-07-02

Abstract

The embodiment of the application discloses a transmission method, a terminal and network side equipment of an AI model, belonging to the technical field of communication, wherein the transmission method of the AI model comprises the following steps: the terminal receives parameter information of a first AI model; wherein the terminal supports functional lifecycle management; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model only running on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment; and the terminal executes a first operation related to the first AI model according to the type of the first AI model.

Description

AI model transmission method, terminal and network side equipment

Technical Field

The application belongs to the technical field of communication, and particularly relates to a transmission method, a terminal and network side equipment of an AI model.

Background

Artificial intelligence (ARTIFICIAL INTELLIGENCE, AI) is widely used in various fields at present, and by integrating AI into a wireless communication network, throughput can be significantly improved, time delay can be reduced, user capacity can be improved, and the like.

In the case where the terminal and the network side device use the functional lifecycle management (functionality based LCM (LIFECYCLEMANAGEMENT)), the network side device knows whether the terminal supports an AI model for a certain function, but does not know that there are several AI models under the function, nor which AI model the terminal is currently running. Therefore, for functional lifecycle management, a special design is required for the transmission of the AI model, otherwise, the operation performance of the AI model may be affected due to inconsistent understanding of the AI model by the terminal and the network side device.

Disclosure of Invention

The embodiment of the application provides a transmission method of an AI model, a terminal and network side equipment, which can solve the problem that the operation performance of the AI model is affected due to inconsistent understanding of the AI model by the terminal and the network side equipment in functional life cycle management.

In a first aspect, there is provided a transmission method of an AI model, including: the terminal receives parameter information of a first AI model; wherein the terminal supports functional lifecycle management; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model only running on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment; and the terminal executes a first operation related to the first AI model according to the type of the first AI model.

In a second aspect, there is provided a transmission method of an AI model, including: the network side equipment sends parameter information of a first AI model; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model running only on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment; the first AI model is used for executing a first operation related to the first AI model by the terminal according to the type of the first AI model; the terminal supports functional lifecycle management.

In a third aspect, there is provided a transmission apparatus of an AI model, applied to a terminal, including: the receiving module is used for receiving parameter information of the first AI model; wherein the terminal supports functional lifecycle management; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model only running on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment; and the processing module is used for executing a first operation related to the first AI model according to the type of the first AI model.

In a fourth aspect, there is provided a transmission apparatus of an AI model, applied to a network side device, including: the sending module is used for sending the parameter information of the first AI model; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model running only on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment; the first AI model is used for executing a first operation related to the first AI model by the terminal according to the type of the first AI model; the terminal supports functional lifecycle management.

In a fifth aspect, there is provided a terminal comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method as described in the first aspect.

In a sixth aspect, a terminal is provided, including a processor and a communication interface, where the processor is configured to perform a first operation related to a first AI model according to a type of the first AI model, and the communication interface is configured to receive parameter information of the first AI model; wherein the terminal supports functional lifecycle management; the type of the first AI model includes a single-side model, which is an AI model that operates only on the terminal side, and/or a double-side model, which includes an AI model that operates on the terminal side and an AI model that operates on the network side device.

In a seventh aspect, a network side device is provided, comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method as described in the second aspect.

An eighth aspect provides a network side device, including a processor and a communication interface, where the communication interface is configured to send parameter information of a first AI model; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model running only on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment; the first AI model is used for executing a first operation related to the first AI model by the terminal according to the type of the first AI model; the terminal supports functional lifecycle management.

In a ninth aspect, there is provided a transmission system of an AI model, including: a terminal operable to perform the steps of the method as described in the first aspect, and a network side device operable to perform the steps of the method as described in the second aspect.

In a tenth aspect, there is provided a readable storage medium having stored thereon a program or instructions which when executed by a processor, performs the steps of the method according to the first aspect or performs the steps of the method according to the second aspect.

In an eleventh aspect, there is provided a chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being for running a program or instructions, implementing the steps of the method as described in the first aspect, or implementing the steps of the method as described in the second aspect.

In a twelfth aspect, there is provided a computer program/program product stored in a storage medium, the computer program/program product being executed by at least one processor to implement the steps of the method as described in the first aspect or to implement the steps of the method as described in the second aspect.

In the embodiment of the application, in the functional life cycle management, a terminal receives parameter information of a first AI model, wherein the type of the first AI model comprises a single-side model and/or a double-side model; the terminal executes the first operation related to the first AI model according to the type of the first AI model, which is favorable for keeping the understanding of the terminal and the network side equipment on the first AI model consistent, for example, whether to use the first AI model, thereby improving the operation performance of the first AI model and being favorable for the network side equipment to carefully manage the terminal side AI model.

Drawings

Fig. 1 is a schematic diagram of a wireless communication system according to an embodiment of the present application;

Fig. 2 is a schematic flow chart of a transmission method of an AI model according to an embodiment of the application;

Fig. 3 is a schematic flowchart of a transmission method of an AI model according to an embodiment of the application;

Fig. 4 is a schematic structural view of a transmission device of an AI model according to an embodiment of the present application;

Fig. 5 is a schematic structural view of a transmission device of an AI model according to an embodiment of the present application;

Fig. 6 is a schematic structural view of a communication device according to an embodiment of the present application;

Fig. 7 is a schematic structural view of a terminal according to an embodiment of the present application;

Fig. 8 is a schematic structural diagram of a network side device according to an embodiment of the present application.

Detailed Description

The technical solutions of the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the application, fall within the scope of protection of the application.

The terms first, second and the like in the description and in the claims, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application are capable of operation in sequences other than those illustrated or otherwise described herein, and that the "first" and "second" distinguishing between objects generally are not limited in number to the extent that the first object may, for example, be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/" generally means a relationship in which the associated object is an "or" before and after.

It should be noted that the techniques described in the embodiments of the present application are not limited to long term evolution (Long Term Evolution, LTE)/LTE evolution (LTE-Advanced, LTE-a) systems, but may also be used in other wireless communication systems, such as code division multiple access (Code Division Multiple Access, CDMA), time division multiple access (Time Division Multiple Access, TDMA), frequency division multiple access (Frequency Division Multiple Access, FDMA), orthogonal frequency division multiple access (OrthogonalFrequency Division Multiple Access, OFDMA), single carrier frequency division multiple access (Single-carrier FrequencyDivision Multiple Access, SC-FDMA), and other systems. The terms "system" and "network" in embodiments of the application are often used interchangeably, and the techniques described may be used for both the above-mentioned systems and radio technologies, as well as other systems and radio technologies. The following description describes a New Radio (NR) system for exemplary purposes and NR terminology is used in much of the following description, but these techniques may also be applied to applications other than NR system applications, such as 6 th Generation (6G) communication systems.

Fig. 1 shows a block diagram of a wireless communication system to which an embodiment of the present application is applicable. The wireless communication system includes a terminal 11 and a network device 12. The terminal 11 may be a Mobile phone, a tablet Computer (Tablet Personal Computer), a Laptop (Laptop Computer) or a terminal-side device called a notebook, a Personal digital assistant (Personal DIGITAL ASSISTANT, PDA), a palm Computer, a netbook, an ultra-Mobile Personal Computer (ultra-Mobile Personal Computer, UMPC), a Mobile internet appliance (Mobile INTERNET DEVICE, MID), an augmented reality (augmented reality, AR)/Virtual Reality (VR) device, a robot, a wearable device (Wearable Device), a vehicle-mounted device (VUE), a pedestrian terminal (PUE), a smart home (home device with a wireless communication function, such as a refrigerator, a television, a washing machine, a furniture, etc.), a game machine, a Personal Computer (Personal Computer, a PC), a teller machine, or a self-service machine, etc., and the wearable device includes: intelligent wrist-watch, intelligent bracelet, intelligent earphone, intelligent glasses, intelligent ornament (intelligent bracelet, intelligent ring, intelligent necklace, intelligent anklet, intelligent foot chain etc.), intelligent wrist strap, intelligent clothing etc.. It should be noted that the specific type of the terminal 11 is not limited in the embodiment of the present application. The network-side device 12 may include an access network device or a core network device, where the access network device may also be referred to as a Radio access network device, a Radio access network (Radio AccessNetwork, RAN), a Radio access network function, or a Radio access network element. The access network device may include a base station, a WLAN access Point, a WiFi node, or the like, where the base station may be referred to as a node B, an evolved node B (eNB), an access Point, a base transceiver station (BaseTransceiver Station, BTS), a radio base station, a radio transceiver, a Basic service set (Basic SERVICE SET, BSS), an Extended service set (Extended SERVICE SET, ESS), a home node B, a home evolved node B, a transmission and reception Point (TRANSMITTING RECEIVING Point, TRP), or some other suitable term in the art, and the base station is not limited to a specific technical vocabulary so long as the same technical effect is achieved, and it should be noted that, in the embodiment of the present application, only the base station in the NR system is described by way of example, and the specific type of the base station is not limited.

The following describes in detail the transmission method of the AI model provided by the embodiment of the present application through some embodiments and application scenarios thereof with reference to the accompanying drawings.

As shown in fig. 2, an embodiment of the present application provides a transmission method 200 of an AI model, which can be performed by a terminal, in other words, by software or hardware installed at the terminal, the method including the following steps.

S202: the terminal receives parameter information of a first AI model; wherein the terminal supports functional lifecycle management; the type of the first AI model includes a single-side model, which is an AI model that operates only on the terminal side, and/or a double-side model, which includes an AI model that operates on the terminal side and an AI model that operates on the network side device.

In this embodiment, the parameter information of the first AI model includes, for example, information such as a network structure, a weight parameter, input/output data, and the like of the first AI model. The first AI model may be trained by the network side device and sent to the terminal by the network side device, where the terminal may directly use the first AI model after receiving the parameter information of the first AI model.

The functional lifecycle management mentioned in the various embodiments of the present application may be: a process or method (A process/method of identifying an AI/MLfunctionality for the common understanding between the NW and the UE). for a network-side device and terminal to agree on a function by identifying the function of an AI, wherein AI-function related Information may be interacted with during a function registration, function confirmation, or function identification phase (Information REGARDING THE AI/MLfunctionality may be shared during functionality identification). Specifically, the network side device knows whether the terminal supports AI models for a certain function (functionality), but does not know that there are several AI models under the function, nor which AI model the terminal is currently running on.

S204: and the terminal executes a first operation related to the first AI model according to the type of the first AI model.

In this embodiment, the first operation may relate to whether the first AI model is in use by a terminal, e.g., the first operation includes: the terminal uses a first AI model; the terminal does not use the first AI model; or the terminal informs the network side whether the device uses the first AI model, etc.

Alternatively, the first operation performed by the terminal may be configured or predefined (as agreed upon) by the network side device, e.g., the network side device configures or agreed upon: after receiving a first AI model of a single-side model type, the terminal selects to use or not to use the first AI model, and reports whether the first AI model is used or not to the network side equipment, so that the terminal and the network side equipment keep consistent understanding of whether the first AI model is used or not, and the running performance of the first AI model is improved; as another example, a network side device configuration or protocol convention: after receiving the first AI model of the double-side model type, the terminal must report to the network side equipment whether the first AI model is used, so that the terminal and the network side equipment keep consistent understanding of whether the first AI model is used, and the running performance of the first AI model is improved.

Optionally, as an embodiment, the following steps may be further included between S202 and S204: the terminal determines that the type of the first AI model is the one-sided model or the two-sided model based on at least one of:

1) Model functions of the first AI model.

For example, the model function (functionality) must be one-sided or two-sided, and there is no ambiguity that the terminal can distinguish by the model function that the type of the first AI model is a one-sided model or a two-sided model.

2) Model description information of the first AI model.

For some model functions, for example, the model function may be either a single-sided model or a double-sided model, and the network-side device may indicate that the type of the first AI model is either a single-sided model or a double-sided model through additional information (e.g., model description information).

Optionally, the terminal may further determine whether the type of the first AI model is a single-sided model or a double-sided model based on whether the output of the first AI model has an actual physical meaning; for a single-side model, the output of the first AI model has actual physical meaning, and the AI model running on the network side can be used without needing the AI model; for the two-sided model, the output of the first AI model has no actual physical meaning, and the AI model running on the network side is required to decode.

3) Whether the terminal configures reporting resources or not; the reporting resource is used for reporting whether the terminal uses the first AI model or whether the terminal uses a second AI model; the second AI model is an AI model currently used by the terminal and/or is different from the first AI model. Optionally, whether the terminal configures the reporting resource refers to whether the network side configures the reporting resource for the terminal.

If the terminal is not configured with the reporting resource, the terminal can select to use or not use the first AI model, or the terminal can select to use or not use the second AI model, and the type of the first AI model is a single-side model; if the terminal is configured with the reporting resource, the terminal is considered to have to report whether the terminal uses the first AI model or whether the terminal uses the second AI model, and the type of the first AI model is a double-sided model.

In the transmission method of the AI model provided by the embodiment of the application, in the functional life cycle management, a terminal receives parameter information of a first AI model, wherein the type of the first AI model comprises a single-side model and/or a double-side model; the terminal executes the first operation related to the first AI model according to the type of the first AI model, which is favorable for keeping the understanding of the terminal and the network side equipment on the first AI model consistent, for example, whether to use the first AI model, thereby improving the operation performance of the first AI model and being favorable for the network side equipment to carefully manage the terminal side AI model.

Optionally, as an embodiment, the type of the first AI model includes the one-sided model, and the terminal performs the first operation related to the first AI model according to the type of the first AI model includes one of:

1) The terminal uses the first AI model and/or does not use the second AI model. In general, the use of the first AI model by the terminal means that the second AI model is not used, and the use of the second AI model by the terminal means that the first AI model is not used.

The use of a certain AI model mentioned in the various embodiments of the present application may also be described as activating a certain AI model, switching to a certain AI model; instead of using a certain AI model, it can also be described as deactivating a certain AI model, not switching to a certain AI model.

2) The terminal does not use the first AI model and/or still uses the second AI model.

3) The terminal informs the network side whether the first AI model is used or not and/or whether the second AI model is used or not.

4) The terminal does not inform the network side device whether to use the first AI model and/or whether to use the second AI model.

Wherein the second AI model is an AI model currently used by the terminal and/or is different from the first AI model.

In this embodiment, through the first operation performed by the terminal, the understanding of whether the terminal and the network side device use the first AI model is kept consistent, so that the operation performance of the first AI model is improved, the network side device is facilitated to carefully manage the terminal side AI model, and the speed and stability of the communication system are improved.

Optionally, as an embodiment, the type of the first AI model includes the double-sided model, and the terminal performing the first operation related to the first AI model according to the type of the first AI model includes one of:

1) The terminal uses the first AI model and/or does not use the second AI model.

2) The terminal informs the network side whether the first AI model is used or not and/or whether the second AI model is used or not.

In this embodiment, when the network side device issues the two-sided model to the terminal, the network side device may send only the AI model running on the terminal side to the terminal, or may send both the AI model running on the terminal side and the AI model running on the network side to the terminal.

Alternatively, in various embodiments of the present application, the one-sided model may be used for at least one of: reference signal estimation, signal processing, signal monitoring, channel equalization, channel decoding, modulation and coding strategy (Modulation and Coding Scheme, MCS) selection, modulation, demodulation, waveform, frequency conversion, mobility management, power Amplifier (PA) nonlinearity, channel prediction, interference suppression, feedback location or location intermediate information positioning.

Optionally, in various embodiments of the present application, the two-sided model is used for at least one of: channel state information (CHANNELSTATE INFORMATION, CSI) compression, CSI feedback, channel state information reference signal (Channel StateInformation-REFERENCE SIGNAL, CSI-RS) compression, CSI-RS port compression, channel coding, and channel decoding.

The model functions or uses of the single-side model and the double-side model described above, one of the roles may be: and the type of the first AI model is judged to be a single-side model or a double-side model by the terminal.

Optionally, various embodiments of the present application may further include the steps of: the terminal receives first information, wherein the first information is used for indicating at least one of the following: 1) A model function of the first AI model; 2) Identification of the model function of the first AI model. In this embodiment, the first information may be carried by the model description information of the first AI model, and may also be carried by other signaling.

Optionally, various embodiments of the present application may further include the steps of: the terminal performs a second operation, where the second operation is used to indicate to a network side device that the terminal supports functional lifecycle management, and the second operation includes at least one of:

1) The terminal reports supporting functional lifecycle management. For example, terminal reporting supports artificial intelligence or machine learning based functions (functionality based AI/ML).

2) And the terminal reports AI supporting function.

3) The terminal reports and supports AI based on the functionality.

4) The terminal only reports AI or machine learning (MACHINE LEARNING, ML), does not report AI or lifecycle management based on model identification, or does not report AI (model ID based AI/ML) or lifecycle management based on model identification (model ID based LCM).

5) For the current use case or function, the terminal only reports to support 1 AI model, or reports to not support a plurality of AI models, or does not report to support a plurality of AI models.

6) The terminal reports neither AI-model switch (or AI-model switch).

7) The terminal reports no AI model activation or AI model activation.

8) The terminal reports support AI function activation (AI/ML function activation).

Optionally, as an embodiment, the second operation acts on one of: 1) At least one AI model function or use case or feature; 2) A physical layer, a medium access control (Medium Access Control, MAC) layer or a higher layer of the terminal; 3) The communication function or communication module of the terminal.

In this embodiment, the terminal is directed to at least one AI model function (function), use case (use case) or feature (feature); or the terminal only aims at the whole physical layer, the MAC layer or the higher layer; or the terminal indicates to the network side device that the terminal supports functional lifecycle management for the whole (wireless) communication function or module.

The transmission method of the AI model according to the embodiment of the application is described in detail above with reference to fig. 2. A transmission method of an AI model according to another embodiment of the present application will be described in detail with reference to fig. 3. It will be appreciated that the interaction of the network side device with the terminal described from the network side device is the same as or corresponds to the description of the terminal side in the method shown in fig. 2, and the relevant description is omitted as appropriate to avoid repetition.

Fig. 3 is a schematic flow chart of an AI model transmission method according to an embodiment of the present application, which may be applied to a network device. As shown in fig. 3, the method 300 includes the following steps.

S302: the network side equipment sends parameter information of a first AI model; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model running only on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment; the first AI model is used for executing a first operation related to the first AI model by the terminal according to the type of the first AI model; the terminal supports functional lifecycle management.

Optionally, S302 may further include the following steps: the network side equipment determines whether the terminal uses the first AI model based on a first operation executed by the terminal.

Alternatively, the first operation performed by the terminal may be configured or predefined (as agreed upon by the protocol) by the network side device. In the case that the first operation is the network side device configuration, S302 may further include the following steps: the network side device transmits configuration information for configuring the content, conditions, and the like of the first operation performed by the terminal.

In the embodiment of the application, in the functional life cycle management, a network side device sends parameter information of a first AI model, wherein the type of the first AI model comprises a single-side model and/or a double-side model; the terminal executes the first operation related to the first AI model according to the type of the first AI model, which is beneficial to keeping the understanding of the terminal and the network side equipment on the first AI model consistent, for example, whether to use the first AI model, thereby improving the operation performance of the first AI model and being beneficial to the network side equipment to carefully manage the terminal side AI model.

Optionally, as an embodiment, the type of the first AI model includes the single-sided model, and the first operation includes one of:

1) The first AI model is used and/or the second AI model is not used.

2) The first AI model is not used and/or the second AI model is still used.

3) And informing the network side equipment whether to use the first AI model and/or whether to use a second AI model.

4) The network side device is not informed whether to use the first AI model and/or whether to use a second AI model.

Optionally, as an embodiment, the type of the first AI model includes the double-sided model, and the first operation includes one of:

1) The first AI model is used and/or the second AI model is not used.

2) And informing the network side equipment whether to use the first AI model and/or whether to use a second AI model.

Optionally, as an embodiment, the method further includes: the network side equipment sends first information, wherein the first information is used for indicating at least one of the following: 1) A model function of the first AI model; 2) Identification of the model function of the first AI model.

Optionally, as an embodiment, the method further includes: the network side device determines that the terminal supports functional lifecycle management based on a second operation performed by the terminal, the second operation including at least one of:

1) The terminal reports supporting functional lifecycle management.

2) And the terminal reports AI supporting function.

3) The terminal reports and supports AI based on the functionality.

4) The terminal only reports the AI, does not report the AI based on the model identification or the life cycle management based on the model identification, or reports the AI not based on the model identification or the life cycle management not based on the model identification.

6) And the terminal reports the AI mode switching not supported or the AI mode switching not supported.

7) And the terminal reports the AI model activation not supported or the AI model activation not supported.

8) And the terminal reports to support AI function activation.

Optionally, as an embodiment, the second operation acts on one of: 1) At least one AI model function; 2) The physical layer, the MAC layer or the higher layer of the terminal; 3) The communication function or communication module of the terminal.

According to the AI model transmission method provided by the embodiment of the application, the execution main body can be the AI model transmission device. In the embodiment of the present application, a transmission method of an AI model performed by a transmission device of an AI model is taken as an example, and the transmission device of an AI model provided in the embodiment of the present application is described.

Fig. 4 is a schematic structural diagram of a transmission apparatus of an AI model according to an embodiment of the present application, which may correspond to a terminal in other embodiments. As shown in fig. 4, the apparatus 400 includes the following modules.

A receiving module 402, configured to receive parameter information of a first AI model; wherein the terminal supports functional lifecycle management; the type of the first AI model includes a single-side model, which is an AI model that operates only on the terminal side, and/or a double-side model, which includes an AI model that operates on the terminal side and an AI model that operates on the network side device.

A processing module 404 is configured to perform a first operation related to the first AI model according to a type of the first AI model.

In an embodiment of the present application, in the functional lifecycle management, the apparatus 400 (e.g., a terminal) receives parameter information of a first AI model, a type of which includes a single-sided model and/or a double-sided model; the apparatus 400 performs the first operation related to the first AI model according to the type of the first AI model, which is beneficial to keeping the understanding of the terminal and the network side device on the first AI model consistent, for example, keeping the understanding of whether to use the first AI model consistent, thereby improving the operation performance of the first AI model, and being beneficial to the network side device to carefully manage the terminal side AI model.

Optionally, as an embodiment, the type of the first AI model includes the one-sided model, and the processing module is configured to one of:

1) The first AI model is used and/or the second AI model is not used.

2) The first AI model is not used and/or the second AI model is still used.

3) And informing the network side whether the first AI model is used or not and/or whether the second AI model is used or not by the equipment.

4) The network side device is not informed whether to use the first AI model and/or whether to use the second AI model.

Optionally, as an embodiment, the type of the first AI model includes the double-sided model, and the processing module is configured to one of:

1) The first AI model is used and/or the second AI model is not used.

2) And informing the network side whether the first AI model is used or not and/or whether the second AI model is used or not by the equipment.

Optionally, as an embodiment, the processing module 404 is further configured to determine that the type of the first AI model is the one-sided model or the two-sided model based on at least one of: 1) A model function of the first AI model; 2) Model description information of the first AI model; 3) Whether the terminal configures reporting resources or not; the reporting resource is used for reporting whether the terminal uses the first AI model or whether the terminal uses a second AI model; the second AI model is an AI model currently used by the terminal and/or is different from the first AI model.

Optionally, as an embodiment, the receiving module 402 is further configured to receive first information, where the first information is used to indicate at least one of the following: 1) A model function of the first AI model; 2) Identification of the model function of the first AI model.

Optionally, as an embodiment, the processing module 404 is further configured to perform a second operation, where the second operation is used to indicate to the network side device that the terminal supports functional lifecycle management, and the second operation includes at least one of:

1) Reporting supports functional lifecycle management.

2) Reporting supports function-based AI.

3) Reporting supports functionality-based AI.

4) Only reporting the AI, not reporting the AI based on the model identification or the life cycle management based on the model identification, or reporting the AI based on the model identification or the life cycle management based on the model identification.

5) For the current use case or function, only 1 AI model is reported, or multiple AI models are not reported.

6) The reporting does not support AI mode switching or the reporting does not support AI mode switching.

7) Reporting does not support AI model activation or reporting does not support AI model activation.

8) The reporting supports AI function activation.

Optionally, as an embodiment, the second operation acts on one of: 1) At least one AI model function; 2) The physical layer, the media access control MAC layer or the higher layer of the terminal; 3) The communication function or communication module of the terminal.

The apparatus 400 according to the embodiment of the present application may refer to the flow of the method 200 corresponding to the embodiment of the present application, and each unit/module in the apparatus 400 and the other operations and/or functions described above are respectively for implementing the corresponding flow in the method 200, and may achieve the same or equivalent technical effects, which are not described herein for brevity.

The transmission device of the AI model in the embodiment of the application may be an electronic device, for example, an electronic device with an operating system, or may be a component in an electronic device, for example, an integrated circuit or a chip. The electronic device may be a terminal, or may be other devices than a terminal. By way of example, the terminals may include, but are not limited to, the types of terminals 11 listed above, other devices may be servers, network attached storage (Network Attached Storage, NAS), etc., and embodiments of the present application are not limited in detail.

Fig. 5 is a schematic structural diagram of a transmission apparatus of an AI model according to an embodiment of the present application, which may correspond to the network-side device in other embodiments. As shown in fig. 5, the apparatus 500 includes the following modules.

A transmitting module 502, configured to transmit parameter information of the first AI model; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model running only on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment; the first AI model is used for executing a first operation related to the first AI model by the terminal according to the type of the first AI model; the terminal supports functional lifecycle management.

Optionally, as an embodiment, the apparatus further comprises a processing module.

In the embodiment of the present application, in the functional lifecycle management, the apparatus 500 (e.g., a network side device) sends parameter information of a first AI model, where a type of the first AI model includes a single-side model and/or a double-side model; the terminal executes the first operation related to the first AI model according to the type of the first AI model, which is beneficial to keeping the understanding of the terminal and the network side equipment on the first AI model consistent, for example, whether to use the first AI model, thereby improving the operation performance of the first AI model and being beneficial to the network side equipment to carefully manage the terminal side AI model.

1) The first AI model is used and/or the second AI model is not used.

2) The first AI model is not used and/or the second AI model is still used.

1) The first AI model is used and/or the second AI model is not used.

Optionally, as an embodiment, the sending module 502 is further configured to send first information, where the first information is used to indicate at least one of the following: 1) A model function of the first AI model; 2) Identification of the model function of the first AI model.

Optionally, as an embodiment, the apparatus further includes a processing module configured to determine that the terminal supports functional lifecycle management based on a second operation performed by the terminal, where the second operation may include at least one of:

1) The terminal reports supporting functional lifecycle management.

2) And the terminal reports AI supporting function.

3) The terminal reports and supports AI based on the functionality.

8) And the terminal reports to support AI function activation.

The apparatus 500 according to the embodiment of the present application may refer to the flow of the method 300 corresponding to the embodiment of the present application, and each unit/module in the apparatus 500 and the other operations and/or functions described above are respectively for implementing the corresponding flow in the method 300, and may achieve the same or equivalent technical effects, which are not described herein for brevity.

The transmission device for the AI model provided by the embodiment of the present application can implement each process implemented by the embodiments of the methods of fig. 2 to 3, and achieve the same technical effects, and for avoiding repetition, a detailed description is omitted here.

Optionally, as shown in fig. 6, the embodiment of the present application further provides a communication device 600, including a processor 601 and a memory 602, where the memory 602 stores a program or an instruction that can be executed on the processor 601, for example, when the communication device 600 is a terminal, the program or the instruction is executed by the processor 601 to implement each step of the above-mentioned AI model transmission method embodiment, and the same technical effects can be achieved. When the communication device 600 is a network side device, the program or the instruction, when executed by the processor 601, implements the steps of the above-described transmission method embodiment of the AI model, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here.

The embodiment of the application also provides a terminal, which comprises a processor and a communication interface, wherein the processor is used for executing a first operation related to a first AI model according to the type of the first AI model, and the communication interface is used for receiving parameter information of the first AI model; wherein the terminal supports functional lifecycle management; the type of the first AI model includes a single-side model, which is an AI model that operates only on the terminal side, and/or a double-side model, which includes an AI model that operates on the terminal side and an AI model that operates on the network side device. The terminal embodiment corresponds to the terminal-side method embodiment, and each implementation process and implementation manner of the method embodiment can be applied to the terminal embodiment, and the same technical effects can be achieved. Specifically, fig. 7 is a schematic diagram of a hardware structure of a terminal for implementing an embodiment of the present application.

The terminal 700 includes, but is not limited to: at least some of the components of the radio frequency unit 701, the network module 702, the audio output unit 703, the input unit 704, the sensor 705, the display unit 706, the user input unit 707, the interface unit 708, the memory 709, and the processor 710.

Those skilled in the art will appreciate that the terminal 700 may further include a power source (e.g., a battery) for powering the various components, and that the power source may be logically coupled to the processor 710 via a power management system so as to perform functions such as managing charging, discharging, and power consumption via the power management system. The terminal structure shown in fig. 7 does not constitute a limitation of the terminal, and the terminal may include more or less components than shown, or may combine certain components, or may be arranged in different components, which will not be described in detail herein.

It should be appreciated that in embodiments of the present application, the input unit 704 may include a Graphics unit (Graphics ProcessingUnit, GPU) 7041 and a microphone 7042, where the Graphics unit 7041 processes image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The display unit 706 may include a display panel 7061, and the display panel 7061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 707 includes at least one of a touch panel 7071 and other input devices 7072. The touch panel 7071 is also referred to as a touch screen. The touch panel 7071 may include two parts, a touch detection device and a touch controller. Other input devices 7072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and so forth, which are not described in detail herein.

In the embodiment of the present application, after receiving downlink data from a network side device, the radio frequency unit 701 may transmit the downlink data to the processor 710 for processing; in addition, the radio frequency unit 701 may send uplink data to the network side device. Typically, the radio unit 701 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.

The memory 709 may be used to store software programs or instructions and various data. The memory 709 may mainly include a first storage area storing programs or instructions and a second storage area storing data, wherein the first storage area may store an operating system, application programs or instructions (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like. Further, the memory 709 may include volatile memory or nonvolatile memory, or the memory 709 may include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable EPROM (EEPROM), or a flash Memory. The volatile memory may be random access memory (Random Access Memory, RAM), static random access memory (STATICRAM, SRAM), dynamic random access memory (DYNAMIC RAM, DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate Synchronous dynamic random access memory (Double DATARATE SDRAM, DDRSDRAM), enhanced Synchronous dynamic random access memory (ENHANCED SDRAM, ESDRAM), synchronous link dynamic random access memory (SYNCH LINK DRAM, SLDRAM), and Direct random access memory (DRRAM). Memory 709 in embodiments of the application includes, but is not limited to, these and any other suitable types of memory.

Processor 710 may include one or more processing units; optionally, processor 710 integrates an application processor that primarily processes operations involving an operating system, user interface, application programs, and the like, and a modem processor that primarily processes wireless communication signals, such as a baseband processor. It will be appreciated that the modem processor described above may not be integrated into the processor 710.

The radio frequency unit 701 may be configured to receive parameter information of the first AI model; wherein the terminal supports functional lifecycle management; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model only running on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment; the processor 710 may be configured to perform a first operation associated with a first AI model based on a type of the first AI model.

The terminal 700 provided in the embodiment of the present application may further implement each process of the above-mentioned AI model transmission method embodiment, and may achieve the same technical effects, so that repetition is avoided and no further description is given here.

The embodiment of the application also provides network side equipment which comprises a processor and a communication interface, wherein the communication interface is used for sending the parameter information of the first AI model; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model running only on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment; the first AI model is used for executing a first operation related to the first AI model by the terminal according to the type of the first AI model; the terminal supports functional lifecycle management. The network side device embodiment corresponds to the network side device method embodiment, and each implementation process and implementation manner of the method embodiment can be applied to the network side device embodiment, and the same technical effects can be achieved.

Specifically, the embodiment of the application also provides network side equipment. As shown in fig. 8, the network side device 800 includes: an antenna 81, a radio frequency device 82, a baseband device 83, a processor 84 and a memory 85. The antenna 81 is connected to a radio frequency device 82. In the uplink direction, the radio frequency device 82 receives information via the antenna 81, and transmits the received information to the baseband device 83 for processing. In the downlink direction, the baseband device 83 processes information to be transmitted, and transmits the processed information to the radio frequency device 82, and the radio frequency device 82 processes the received information and transmits the processed information through the antenna 81.

The method performed by the network side device in the above embodiment may be implemented in the baseband apparatus 83, and the baseband apparatus 83 includes a baseband processor.

The baseband device 83 may, for example, include at least one baseband board, where a plurality of chips are disposed, as shown in fig. 8, where one chip, for example, a baseband processor, is connected to the memory 85 through a bus interface, so as to call a program in the memory 85 to perform the network device operation shown in the above method embodiment.

The network-side device may also include a network interface 86, such as a common public radio interface (common publicradio interface, CPRI).

Specifically, the network side device 800 of the embodiment of the present invention further includes: instructions or programs stored in the memory 85 and executable on the processor 84, the processor 84 invokes the instructions or programs in the memory 85 to perform the method performed by the modules shown in fig. 5, and achieve the same technical effects, and are not repeated here.

The embodiment of the present application also provides a readable storage medium, where a program or an instruction is stored, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the transmission method embodiment of the AI model, and the same technical effect can be achieved, so that repetition is avoided, and no description is repeated here.

Wherein the processor is a processor in the terminal described in the above embodiment. The readable storage medium may be non-volatile or non-transitory. Readable storage media include computer readable storage media such as computer readable memory ROM, random access memory RAM, magnetic or optical disks, and the like.

The embodiment of the application further provides a chip, which comprises a processor and a communication interface, wherein the communication interface is coupled with the processor, and the processor is used for running a program or instructions to realize the processes of the transmission method embodiment of the AI model, and the same technical effects can be achieved, so that repetition is avoided, and the description is omitted here.

It should be understood that the chips referred to in the embodiments of the present application may also be referred to as system-on-chip chips, or the like.

The embodiments of the present application further provide a computer program/program product stored in a storage medium, where the computer program/program product is executed by at least one processor to implement the respective processes of the transmission method embodiment of the AI model, and achieve the same technical effects, and are not repeated herein.

The embodiment of the application also provides a transmission system of the AI model, which comprises: the terminal can be used for executing the steps of the transmission method of the AI model, and the network side equipment can be used for executing the steps of the transmission method of the AI model.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Furthermore, it should be noted that the scope of the methods and apparatus in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a computer software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.

The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are to be protected by the present application.

Claims

1. A method for transmitting an artificial intelligence AI model, comprising:

The terminal receives parameter information of a first AI model; wherein the terminal supports functional lifecycle management; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model only running on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment;

And the terminal executes a first operation related to the first AI model according to the type of the first AI model.

2. The method of claim 1, wherein the type of the first AI model comprises the one-sided model, and wherein the terminal performing a first operation related to the first AI model based on the type of the first AI model comprises one of:

the terminal uses the first AI model and/or does not use a second AI model;

the terminal does not use the first AI model and/or still uses a second AI model;

The terminal informs the network side whether the first AI model is used by the equipment and/or whether the second AI model is used by the equipment;

the terminal does not inform the network side equipment whether to use the first AI model and/or whether to use the second AI model;

3. The method of claim 1, wherein the type of the first AI model comprises the two-sided model, and wherein the terminal performing a first operation related to the first AI model based on the type of the first AI model comprises one of:

the terminal uses the first AI model and/or does not use a second AI model;

4. The method according to claim 1, wherein the method further comprises: the terminal determines that the type of the first AI model is the one-sided model or the two-sided model based on at least one of:

A model function of the first AI model;

model description information of the first AI model;

Whether the terminal configures reporting resources or not; the reporting resource is used for reporting whether the terminal uses the first AI model or whether the terminal uses a second AI model; the second AI model is an AI model currently used by the terminal and/or is different from the first AI model.

5. The method of claim 1,2 or 4, wherein the one-sided model is used for at least one of: reference signal estimation, signal processing, signal monitoring, channel equalization, channel decoding, modulation and coding strategy MCS selection, modulation, demodulation, waveform, frequency conversion, mobility management, PA nonlinearity of the power amplifier, channel prediction, interference suppression, feedback location or positioning of positioning intermediate information.

6. The method of claim 1,3 or 4, wherein the two-sided model is used for at least one of: channel State Information (CSI) compression, CSI feedback, channel state information reference signal (CSI-RS) compression, CSI-RS port compression, channel coding and channel decoding.

7. The method according to claim 1, wherein the method further comprises: the terminal receives first information, wherein the first information is used for indicating at least one of the following:

A model function of the first AI model;

identification of the model function of the first AI model.

8. The method according to any one of claims 1 to 7, further comprising: the terminal performs a second operation, where the second operation is used to indicate to a network side device that the terminal supports functional lifecycle management, and the second operation includes at least one of:

the terminal reports and supports the functional life cycle management;

the terminal reports AI supporting function;

the terminal reports AI supporting the function;

The terminal only reports the AI, does not report the AI based on the model identification or the life cycle management based on the model identification, or reports the AI not based on the model identification or the life cycle management not based on the model identification;

For the current use case or function, the terminal only reports to support 1 AI model, or reports to not support a plurality of AI models, or does not report to support a plurality of AI models;

the terminal reports that the AI model switching is not supported or the terminal does not report that the AI model switching is supported;

the terminal reports the AI model which is not supported to be activated or the terminal reports the AI model which is not supported to be activated;

and the terminal reports to support AI function activation.

9. The method of claim 8, wherein the second operation acts on one of:

At least one AI model function;

the physical layer, the media access control MAC layer or the higher layer of the terminal;

the communication function or communication module of the terminal.

10. A transmission method of an AI model, comprising:

the network side equipment sends parameter information of a first AI model;

The type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model running only on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment;

The first AI model is used for executing a first operation related to the first AI model by the terminal according to the type of the first AI model; the terminal supports functional lifecycle management.

11. The method of claim 10, wherein the type of the first AI model comprises the single-sided model, and wherein the first operation comprises one of:

using the first AI model and/or not using a second AI model;

the first AI model is not used and/or the second AI model is still used;

informing the network side whether the first AI model is used or not and/or whether a second AI model is used or not by the equipment;

Whether the network side equipment uses the first AI model and/or whether the network side equipment uses a second AI model is not informed;

12. The method of claim 10, wherein the type of the first AI model comprises the two-sided model, and wherein the first operation comprises one of:

using the first AI model and/or not using a second AI model;

13. The method according to claim 10, wherein the method further comprises: the network side equipment sends first information, wherein the first information is used for indicating at least one of the following:

A model function of the first AI model;

identification of the model function of the first AI model.

14. The method according to any one of claims 10 to 13, further comprising: the network side device determines that the terminal supports functional lifecycle management based on a second operation performed by the terminal, the second operation including at least one of:

the terminal reports and supports the functional life cycle management;

the terminal reports AI supporting function;

the terminal reports AI supporting the function;

and the terminal reports to support AI function activation.

15. The method of claim 14, wherein the second operation acts on one of:

At least one AI model function;

The physical layer, the MAC layer or the higher layer of the terminal;

the communication function or communication module of the terminal.

16. A transmission apparatus of an AI model, applied to a terminal, characterized by comprising:

The receiving module is used for receiving parameter information of the first AI model; wherein the terminal supports functional lifecycle management; the type of the first AI model comprises a single-side model and/or a double-side model, wherein the single-side model is an AI model only running on a terminal side, and the double-side model comprises an AI model running on the terminal side and an AI model running on network side equipment;

and the processing module is used for executing a first operation related to the first AI model according to the type of the first AI model.

17. The apparatus of claim 16, wherein the type of the first AI model comprises the one-sided model, the processing module to one of:

using the first AI model and/or not using a second AI model;

the first AI model is not used and/or the second AI model is still used;

Informing a network side whether the first AI model is used or not and/or whether a second AI model is used or not by equipment;

the network side equipment is not informed whether to use the first AI model and/or whether to use the second AI model;

18. The apparatus of claim 16, wherein the type of the first AI model comprises the two-sided model, the processing module to one of:

using the first AI model and/or not using a second AI model;

19. The apparatus of claim 16, wherein the processing module is further configured to determine that the type of the first AI model is the single-sided model or the double-sided model based on at least one of:

A model function of the first AI model;

model description information of the first AI model;

20. The apparatus of claim 16, wherein the receiving module is further configured to receive first information, the first information being configured to indicate at least one of:

A model function of the first AI model;

identification of the model function of the first AI model.

21. The apparatus according to any of claims 16 to 20, wherein the processing module is further configured to perform a second operation for indicating to a network side device that the terminal supports functional lifecycle management, the second operation comprising at least one of:

reporting support functionality lifecycle management;

reporting and supporting AI based on functions;

Reporting to support a functionality-based AI;

Only reporting the AI, not reporting the AI based on the model identification or the life cycle management based on the model identification, or reporting the AI not based on the model identification or the life cycle management not based on the model identification;

For the current use case or function, only 1 AI model is reported, or a plurality of AI models are not reported;

reporting the AI mode switching is not supported or the AI mode switching is not supported;

reporting the AI model activation without support or reporting the AI model activation without support;

The reporting supports AI function activation.

22. The apparatus of claim 21, wherein the second operation acts on one of:

At least one AI model function;

the communication function or communication module of the terminal.

23. A transmission apparatus of an AI model, applied to a network side device, comprising:

the sending module is used for sending the parameter information of the first AI model;

24. The apparatus of claim 23, wherein the type of the first AI model comprises the single-sided model, and wherein the first operation comprises one of:

using the first AI model and/or not using a second AI model;

the first AI model is not used and/or the second AI model is still used;

25. The apparatus of claim 23, wherein the type of the first AI model comprises the two-sided model, and wherein the first operation comprises one of:

using the first AI model and/or not using a second AI model;

26. The apparatus of claim 23, wherein the means for transmitting is further configured to transmit first information indicating at least one of:

A model function of the first AI model;

identification of the model function of the first AI model.

27. The apparatus according to any one of claims 23 to 26, further comprising a processing module configured to determine that the terminal supports functional lifecycle management based on a second operation performed by the terminal, the second operation comprising at least one of:

the terminal reports and supports the functional life cycle management;

the terminal reports AI supporting function;

the terminal reports AI supporting the function;

and the terminal reports to support AI function activation.

28. The apparatus of claim 27, wherein the second operation acts on one of:

At least one AI model function;

The physical layer, the MAC layer or the higher layer of the terminal;

the communication function or communication module of the terminal.

29. A terminal comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, performs the steps of the method of any one of claims 1 to 9.

30. A network side device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the method of any of claims 10 to 15.

31. A readable storage medium, characterized in that the readable storage medium has stored thereon a program or instructions which, when executed by a processor, implement the steps of the method according to any of claims 1 to 9 or the steps of the method according to any of claims 10 to 15.