Communication methods, devices and storage medium

Abstract

The present disclosure relates to communication methods, devices and a storage medium. A communication method comprises: sending a first message to a network device, the first message being used by the network device to perform an artificial intelligence (AI) operation, wherein the AI operation includes an operation based on an AI model or an operation based on an AI function. That is to say, a terminal device can send a first message to a network device, so as to assist the network device in performing an AI operation on the basis of an AI model or an AI function, thereby improving the prediction accuracy of AI models or AI functions.

Description

Communication method, device and storage medium Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a communication method, device, and storage medium. Background Art

[0002] Machine learning algorithms are one of the most important implementation methods of artificial intelligence (AI) technology. By applying machine learning to large amounts of training data, AI models can be generated, which can then be used to predict events. During the model inference phase, the parameters and environment configuration used when using the AI ​​model significantly impact its accuracy.

[0003] Summary of the Invention

[0004] The embodiments of the present disclosure provide a communication method, a device, and a storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, a communication method is proposed, which is performed by a terminal device. The method includes:

[0006] A first message is sent to a network device, where the first message is used by the network device to perform an artificial intelligence (AI) operation, where the AI ​​operation includes an AI model-based operation or an AI function-based operation.

[0007] According to a second aspect of an embodiment of the present disclosure, a communication method is provided, which is performed by a network device. The method includes:

[0008] receiving a first message sent by a terminal device;

[0009] An artificial intelligence (AI) operation is performed according to the first message, where the AI ​​operation includes an AI model-based operation or an AI function-based operation.

[0010] According to a third aspect of an embodiment of the present disclosure, a terminal device is provided, including:

[0011] The transceiver module is configured to send a first message to the network device, where the first message is used for the network device to perform an artificial intelligence (AI) operation, where the AI ​​operation includes an AI model-based operation or an AI function-based operation.

[0012] According to a fourth aspect of an embodiment of the present disclosure, a network device is provided, including:

[0013] a transceiver module, configured to receive a first message sent by a terminal device;

[0014] The processing module is configured to perform an artificial intelligence (AI) operation according to the first message, where the AI ​​operation includes an AI model-based operation or an AI function-based operation.

[0015] According to a fifth aspect of an embodiment of the present disclosure, a communication device is proposed, comprising: one or more processors; wherein the communication device is used to execute an optional implementation of the first aspect or the second aspect.

[0016] According to the sixth aspect of an embodiment of the present disclosure, a communication system is proposed, which may include: a terminal device and a network device; wherein the terminal device is configured to execute the method described in the optional implementation manner of the first aspect, and the network device is configured to execute the method described in the optional implementation manner of the second aspect.

[0017] According to a seventh aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the method described in the optional implementation of the first aspect or the second aspect.

[0018] The technical solution provided by the embodiments of the present disclosure may include the following beneficial effects: a first message is sent to a network device, where the first message is used by the network device to perform an artificial intelligence (AI) operation, where the AI ​​operation includes an operation based on an AI model or an operation based on an AI function. In other words, the terminal device may send the first message to the network device to assist the network device in performing the AI ​​operation based on the AI ​​model or AI function, thereby improving the prediction accuracy of the AI ​​model or AI function.

[0019] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0021] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0022] FIG2A is an interactive schematic diagram illustrating a communication method according to an embodiment of the present disclosure.

[0023] FIG2B is an interactive diagram illustrating a communication method according to an embodiment of the present disclosure.

[0024] FIG3A is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0025] FIG3B is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0026] FIG3C is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0027] FIG4A is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0028] FIG4B is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0029] FIG4C is a flow chart showing a communication method according to an embodiment of the present disclosure.

[0030] FIG5 is an interactive diagram illustrating a communication method according to an embodiment of the present disclosure.

[0031] FIG6A is a schematic structural diagram of a terminal device proposed in an embodiment of the present disclosure.

[0032] FIG6B is a schematic structural diagram of a network device proposed in an embodiment of the present disclosure.

[0033] FIG7A is a schematic structural diagram of a communication device proposed in an embodiment of the present disclosure.

[0034] FIG7B is a schematic diagram of the structure of the chip proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0035] The embodiments of the present disclosure provide a communication method, a device, and a storage medium.

[0036] In a first aspect, an embodiment of the present disclosure provides a communication method, which is executed by a terminal device. The method includes:

[0037] A first message is sent to a network device, where the first message is used by the network device to perform an artificial intelligence (AI) operation, where the AI ​​operation includes an AI model-based operation or an AI function-based operation.

[0038] In the above embodiment, the terminal device can send a first message to the network device to assist the network device in performing AI operations based on the AI ​​model or AI function, thereby improving the prediction accuracy of the AI ​​model or AI function.

[0039] In combination with some embodiments of the first aspect, in some embodiments, the first message includes a first indication message, and the first indication message is used to indicate the status of the first information. The first information is information related to the terminal device used when the network device trains the AI ​​model or the network device trains the AI ​​function. The status of the first information is the value or value range of all elements in the first information, or the value or value range of some elements in the first information.

[0040] In the above embodiment, the terminal device can send the first information related to the terminal device used in training the AI ​​model or AI function to the network device, so that the network device can obtain the first information and perform operations based on the AI ​​model or AI function according to the first information.

[0041] In combination with some embodiments of the first aspect, in some embodiments, the first information includes first condition information, the first condition information includes configuration information and / or environmental information corresponding to the terminal device, and different AI models or AI functions correspond to different first condition information.

[0042] In the above embodiment, the terminal device can send configuration information and wake-up information to the network device so that the network device can perform AI operations more accurately and improve system performance.

[0043] In conjunction with some embodiments of the first aspect, in some embodiments, sending the first message to the network device includes:

[0044] Based on the first configuration information, the first indication message is sent to the network device.

[0045] In the above embodiment, the terminal device may send a first indication message to the network device based on the first configuration information.

[0046] In conjunction with some embodiments of the first aspect, in some embodiments, the first configuration information includes at least one of the following:

[0047] a sending period, where the sending period is used for the terminal device to periodically send the first indication message;

[0048] a second indication message, where the second indication message is used to request reporting of the first indication message;

[0049] A first condition is used to determine whether to report the first indication message.

[0050] In the above embodiment, the terminal device can send the first indication message to the network device based on at least one of the sending cycle, the request indication, and the first condition, so that the sending method of the first indication message is more flexible.

[0051] In conjunction with some embodiments of the first aspect, in some embodiments, the first condition includes at least one of the following:

[0052] The first indication message is different from the third indication message, wherein the third indication message is used to indicate a status of first information reported by the terminal device before the first indication message;

[0053] The state of the first information indicated by the first indication message is less than or greater than a first threshold.

[0054] In the above embodiment, the terminal device can determine whether it is necessary to report the first indication message in a variety of ways, reducing the number of times the first indication message is reported, thereby reducing data overhead and further improving network performance.

[0055] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0056] Receive the second indication message sent by the network device.

[0057] In the above embodiment, the terminal device may report the first indication message after receiving the request sent by the network device, so that the reporting of the first indication message is more accurate, thereby further reducing data overhead.

[0058] In conjunction with some embodiments of the first aspect, in some embodiments, the first message includes a fourth indication message, where the fourth indication message is used by the network device to perform at least one of the following operations:

[0059] activating the AI ​​model or the AI ​​function;

[0060] Deactivating the AI ​​model or the AI ​​function;

[0061] Fallback to non-AI operation mode.

[0062] In the above embodiment, the terminal device can send a fourth indication message to the network device to inform the network device whether the AI ​​model or AI function can be used, so as to avoid using the AI ​​model or AI function when the conditions are not met.

[0063] In conjunction with some embodiments of the first aspect, in some embodiments, sending the first message to the network device includes:

[0064] Determining the fourth indication message according to a fifth indication message, where the fifth indication message is used to indicate a status of first information corresponding to the AI ​​model or the AI ​​function configured on the network device;

[0065] Send the fourth indication message to the network device.

[0066] In the above embodiment, the terminal device can determine whether the AI ​​model or AI function can be used based on the status of the first information corresponding to the AI ​​model or AI function configured by the network device.

[0067] In conjunction with some embodiments of the first aspect, in some embodiments, determining the fourth indication message according to the fifth indication message includes:

[0068] In response to the fifth indication message being the same as the first indication message, determining that the fourth indication message is to activate the AI ​​model or the AI ​​function;

[0069] In response to the fifth indication message being different from the first indication message, it is determined that the fourth indication message is to deactivate the AI ​​model or the AI ​​function, or to fall back to a non-AI operation mode.

[0070] In the above embodiment, the terminal device can determine the fourth indication message by comparing the first indication message and the fifth indication message, so as to inform the network device whether to use the AI ​​model or AI function.

[0071] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0072] Receive the fifth indication message sent by the network device.

[0073] In the above embodiment, the network device may send a fifth indication message to the terminal device so that the terminal device can determine whether the AI ​​model or AI function can be used.

[0074] In a second aspect, an embodiment of the present disclosure provides a communication method, which is performed by a network device. The method includes:

[0075] receiving a first message sent by a terminal device;

[0076] An artificial intelligence (AI) operation is performed according to the first message, where the AI ​​operation includes an AI model-based operation or an AI function-based operation.

[0077] In combination with some embodiments of the second aspect, in some embodiments, the first message includes a first indication message, and the first indication message is used to indicate the status of the first information. The first information is information related to the terminal device used when the network device trains the AI ​​model or the network device trains the AI ​​function. The status of the first information is the value or value range of all elements in the first information, or the value or value range of some elements in the first information.

[0078] In combination with some embodiments of the second aspect, in some embodiments, the first information includes first condition information, the first condition information includes configuration information and / or environmental information corresponding to the terminal device, and different AI models or AI functions correspond to different first condition information.

[0079] In conjunction with some embodiments of the second aspect, in some embodiments, receiving the first message sent by the terminal device includes:

[0080] Receive the first indication message sent by the terminal device based on the first configuration information.

[0081] In conjunction with some embodiments of the second aspect, in some embodiments, the first configuration information includes at least one of the following:

[0082] a sending period, where the sending period is used for the terminal device to periodically send the first indication message;

[0083] a second indication message, where the second indication message is used to request reporting of the first indication message;

[0084] A first condition is used to determine whether to report the first indication message.

[0085] In conjunction with some embodiments of the second aspect, in some embodiments, the first condition includes at least one of the following:

[0086] The first indication message is different from the third indication message, wherein the third indication message is used to indicate a status of first information reported by the terminal device before the first indication message;

[0087] The state of the first information indicated by the first indication message is less than or greater than a first threshold.

[0088] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0089] Send the second indication message to the terminal device.

[0090] In conjunction with some embodiments of the second aspect, in some embodiments, the first message includes a fourth indication message, where the fourth indication message is used by the network device to perform at least one of the following operations:

[0091] activating the AI ​​model or the AI ​​function;

[0092] Deactivating the AI ​​model or the AI ​​function;

[0093] Fallback to non-AI operation mode.

[0094] In conjunction with some embodiments of the second aspect, in some embodiments, receiving the first message sent by the terminal device includes:

[0095] Receive the fourth indication message sent by the terminal device, where the fourth indication message is determined based on the fifth indication message, and the fifth indication message is used to indicate the status of the first information corresponding to the AI ​​model or the AI ​​function configured by the network device.

[0096] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0097] Send the fifth indication message to the terminal device.

[0098] In a third aspect, an embodiment of the present disclosure provides a communication method, the method comprising:

[0099] The terminal device sends a first message to the network device, where the first message is used for the network device to perform an artificial intelligence (AI) operation, where the AI ​​operation includes an AI model-based operation or an AI function-based operation;

[0100] The network device performs an AI operation according to the first message.

[0101] In a fourth aspect, an embodiment of the present disclosure proposes a terminal device, which may include at least one of a transceiver module and a processing module; wherein the terminal device can be used to execute the optional implementation method of the first aspect.

[0102] In a fifth aspect, an embodiment of the present disclosure proposes a network device, which may include at least one of a transceiver module and a processing module; wherein the network device can be used to execute the optional implementation method of the second aspect.

[0103] In a sixth aspect, an embodiment of the present disclosure proposes a terminal device, which may include: one or more processors; wherein the terminal device can be used to execute the optional implementation method of the first aspect.

[0104] In a seventh aspect, an embodiment of the present disclosure proposes a network device, which may include: one or more processors; wherein, the network device can be used to execute the optional implementation method of the second aspect.

[0105] In an eighth aspect, an embodiment of the present disclosure proposes a communication device, which may include: one or more processors; wherein the communication device can be used to execute an optional implementation of the first aspect or the second aspect.

[0106] In the ninth aspect, an embodiment of the present disclosure proposes a communication system, which may include: a terminal device and a network device; wherein, the terminal device is configured to execute the method described in the optional implementation manner of the first aspect, and the network device is configured to execute the method described in the optional implementation manner of the second aspect.

[0107] In a tenth aspect, an embodiment of the present disclosure proposes a storage medium storing instructions, which, when executed on a communication device, enables the communication device to execute the method described in the optional implementation of the first aspect or the second aspect.

[0108] In an eleventh aspect, an embodiment of the present disclosure proposes a program product, which, when executed by a communication device, enables the communication device to execute the method described in the optional implementation manner of the first aspect or the second aspect.

[0109] In a twelfth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first or second aspect.

[0110] In a thirteenth aspect, an embodiment of the present disclosure provides a chip or a chip system, wherein the chip or chip system includes a processing circuit configured to execute the method described in the optional implementation of the first aspect or the second aspect.

[0111] It is understandable that the above-mentioned terminal devices, network devices, communication devices, communication systems, storage media, program products, computer programs, chips, or chip systems can all be used to perform the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0112] The present disclosure provides a communication method, device, and storage medium. In some embodiments, the terms communication method and information processing method are interchangeable; the terms communication device and information processing device are interchangeable; and the terms information processing system and communication system are interchangeable.

[0113] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0114] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0115] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0116] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0117] In some embodiments, "plurality" may refer to two or more.

[0118] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0119] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0120] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0121] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for example, if the description object is "information", then the "first message" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0122] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0123] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0124] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0125] In some embodiments, devices and the like can be interpreted as physical or virtual, and their names are not limited to those described in the embodiments. Terms such as "device," "equipment," "device," "circuit," "network element," "node," "function," "unit," "section," "system," "network," "chip," "chip system," "entity," and "subject" can be used interchangeably.

[0126] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0127] In some embodiments, the terms "Access Network Device (AN Device)", "Radio Access Network Device (RAN Device)", "Base Station (BS)", "Radio Base Station (Radio Base Station)", "Fixed Station (Fixed Station)", "Node (Node)", "Access Point (Access Point)", "Transmission Point (TP)", "Reception Point (RP)", "Transmission and / or Reception Point (TRP))", "Panel (Panel)", "Antenna Panel (Antenna Panel)", "Antenna Array (Antenna Array)" "Cell (Cell)", "Macro Cell (Macro Cell)", "Small Cell (Small Cell)", "Femto Cell (Femto Cell)", "Pico Cell (Pico Cell)" "Sector (Sector)", "Cell Group (Cell Group)", "Serving Cell", "Carrier (Carrier)", "Component Carrier (Component Carrier)", "Bandwidth Part (BWP)" and the like can be used interchangeably.

[0128] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal" "mobile station (MS)", "mobile terminal (MT)", subscriber station (Subscriber Station), mobile unit (Mobile Unit), subscriber unit (Subscriber Unit), wireless unit (Wireless Unit), remote unit (Remote Unit), mobile device (Mobile Device), wireless device (Wireless Device), wireless communication device (Wireless Communication Device), remote device (Remote Device), mobile subscriber station (Mobile Subscriber Station), access terminal (Access Terminal), mobile terminal (Mobile Terminal), wireless terminal (Wireless Terminal), remote terminal (Remote Terminal), handset (Handset), user agent (User Agent), mobile client (Mobile Client), client (Client) and the like can be used interchangeably.

[0129] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it is also possible to set the structure in which the terminal has all or part of the functions of the access network device. In addition, terms such as "uplink" and "downlink" can also be replaced by terms corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels or direct channels, and uplinks, downlinks, etc. can be replaced by side links or direct links.

[0130] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, the core network device, or the network device may have a structure that has all or part of the functions of the terminal.

[0131] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0132] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0133] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0134] FIG1 is a schematic diagram illustrating an architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1 , the communication system 100 may include a terminal device 101 and a network device 102 .

[0135] In some embodiments, the terminal device 101 may include at least one of a mobile phone, a wearable device, an Internet of Things device, a car with communication capabilities, a smart car, a tablet computer, a computer with wireless transceiver capabilities, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in smart grid, a wireless terminal device in transportation safety, a wireless terminal device in smart city, and a wireless terminal device in smart home, but is not limited thereto.

[0136] In some embodiments, the network device 102 may include at least one of an access network device and a core network device.

[0137] In some embodiments, the access network device may be a node or device that accesses the terminal device to the wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0138] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0139] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit (Control Unit). The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0140] In some embodiments, the core network device may be a single device, or may be multiple devices or a group of devices. The core network may include at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0141] It can be understood that 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 proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0142] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or a portion thereof, but are not limited thereto. The entities shown in FIG1 are examples. The communication system may include all or part of the entities shown in FIG1 , or may include other entities outside of FIG1 . The number and form of the entities are arbitrary, and the entities may be physical or virtual. The connection relationship between the entities is an example. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0143] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G New Radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New Radio Access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0144] In some embodiments of the present disclosure, AI can be used for channel status information (CSI) enhancement, beam management, positioning, etc.

[0145] In some embodiments, the definition of an AI functionality may be associated with a series of parameters. For example, the parameters associated with an AI functionality may be determined by pre-definition or network parameter configuration. On the terminal side, the terminal may report what AI functions it supports. The AI ​​functions supported by the terminal may be reported through UE capabilities or in a manner similar to UE capabilities.

[0146] In some embodiments, the AI ​​function may be an abstraction of the function implemented by the AI ​​model, and its core is still the AI ​​model.

[0147] In some embodiments, an AI model can only be used in limited environments or configurations, and it is difficult for an AI model to adapt to all environments or configurations. The environment or configuration to which an AI model is adapted is closely related to the environment or configuration corresponding to the training data. For example, the parameter set corresponding to the environment or configuration corresponding to the model training data for training a certain AI function is Set A, and Set A includes parameters {a1, a2, ..., an}. Among them, parameters a1 and a2 can be used as the definition of the AI ​​function. For example, different AI functions can be defined according to different values ​​of a1 and a2.

[0148] In some embodiments, parameters a1 and a2 may be referred to as conditions, and parameters other than parameters a1 and a2 in Set A may be referred to as additional conditions. The additional conditions may further include additional conditions on the network side and additional conditions on the terminal side.

[0149] In some embodiments, to ensure the performance of the AI ​​model or AI function during the model inference phase, the additional condition in the inference phase can be consistent with the additional condition corresponding to the training data. However, when the AI ​​model or AI function is deployed on the network side, the network device cannot know the additional condition on the terminal side and cannot determine whether the AI ​​model or AI function can be used.

[0150] FIG2A is an interactive diagram illustrating a communication method according to an embodiment of the present disclosure. The method may be executed by the above-mentioned communication system. As shown in FIG2A , the method may include:

[0151] Step S2101: The terminal device sends a first indication message to the network device based on the first configuration information.

[0152] In some embodiments, the network device may receive the first indication message. For example, the network device may receive the first indication message sent by the terminal device. For another example, the network device may also receive the first indication message sent by another entity.

[0153] In some embodiments, the first indication message may be used to indicate the status of the first information, that is, the terminal device indicates the first information to the network device through the first indication message.

[0154] In some embodiments, the state of the first information may be the values ​​or value ranges of all elements in the first information, or the values ​​or values ​​of some elements in the first information.

[0155] In some embodiments, the first information is information related to the terminal device used by the network device to train the AI ​​model or the network device to train the AI ​​function.

[0156] In some embodiments, the first indication message may be used to indicate the status of the first information at the current moment.

[0157] In some embodiments, the first indication message may be the status of the first information last obtained by the terminal device. It should be understood that the first information may change based on factors such as time, and the terminal may send the first information to the network device periodically, aperiodically, upon request, or in accordance with protocol provisions, so that the network device obtains the latest first information.

[0158] In some embodiments, the first information may include first condition information, which may include configuration information and / or environmental information corresponding to the terminal device, and different AI models or AI functions correspond to different first condition information.

[0159] In some embodiments, the first condition information can be understood as an element in the first information.

[0160] In some embodiments, the first condition information may also be referred to as additional condition information on the terminal device side.

[0161] For example, if the AI ​​model or AI function is used for time domain beam prediction or CSI prediction, the first condition information may be the speed information of the terminal device; if the AI ​​model or AI function is used for CSI compression, the first condition information may include the channel state on the terminal device side, for example, the channel state may be the signal to interference plus noise ratio (SINR).

[0162] It should be noted that the above first condition information is for illustrative purposes only and is not limited in the embodiments of the present disclosure.

[0163] For example, if the first information includes the first condition information, and the first condition information is the speed information of the terminal device, then the first indication message may be the value of the speed information of the terminal device. For example, the first indication message may be 100 km / h.

[0164] In some embodiments, the name of the first information is not limited, for example, it can be "configuration information", "parameter information", "configuration indication information", "parameter indication information", etc.

[0165] In some embodiments, the name of the first indication message is not limited, for example, it can be "configuration information status", "parameter information status", "AI operation auxiliary information", etc.

[0166] In some embodiments, the first configuration information may include at least one of the following:

[0167] a sending period, where the sending period is used for the terminal device to periodically send the first indication message;

[0168] a second indication message, where the second indication message is used to request reporting of the first indication message;

[0169] A first condition is used to determine whether to report the first indication message.

[0170] In some embodiments, if the terminal device is configured to periodically send the first indication message, the first configuration information may include the sending period.

[0171] In some embodiments, the sending period may be a time interval for sending the first indication message to the network device.

[0172] In some embodiments, the sending period may be configured by the network device, may be agreed upon by the protocol, or may be determined autonomously by the terminal device, and this is not limited in the embodiments of the present disclosure.

[0173] In some embodiments, the network device may further configure measurement resources for the terminal device so that the terminal device obtains the first indication message based on the measurement resources.

[0174] In some embodiments, the second indication message may be sent by a network device.

[0175] In some embodiments, the network device may request the terminal device to report the first indication message through the second indication message.

[0176] In some embodiments, the network device may instruct the terminal device to report the first indication message through the second indication message.

[0177] In some embodiments, the network device may trigger the terminal device to report the first indication message through the second indication message.

[0178] In some embodiments, the terminal device may receive the second indication message sent by the network device.

[0179] In some embodiments, after receiving the second indication message sent by the network device, the terminal device may send the first indication message to the network device.

[0180] In some embodiments, after receiving the second indication message sent by the network device, the terminal device can monitor the first information according to the second indication message, obtain the first indication message, and report the first indication message to the network device.

[0181] In some embodiments, the name of the second indication message is not limited, for example, it can be a "status request message", "status reporting request message", "status reporting indication message", etc.

[0182] In some embodiments, the first condition may include at least one of the following:

[0183] The first indication message is different from the third indication message, wherein the third indication message is used to indicate a status of first information reported by the terminal device before the first indication message;

[0184] The status of the first information indicated by the first indication message is less than or greater than a first threshold.

[0185] In some embodiments, "the status of the first information reported by the terminal device before the first indication message" can be understood as "the status of the first information reported by the terminal device last time" or "the status of the first information reported by the terminal device for the last time".

[0186] In some embodiments, "the first indication message is different from the third indication message" can be understood as "the state of the first information indicated by the first indication message is different from the state of the first information indicated by the third indication message", or "the value of the first information indicated by the first indication message is different from the value of the first information indicated by the third indication message", or "the value range of the first information indicated by the first indication message is different from the value range of the first information indicated by the third indication message", or "the difference between the first value and the second value is greater than the first threshold", wherein the first value is the value of the first information indicated by the first indication message, and the second value is the value of the first information indicated by the third indication message.

[0187] For example, if the first information includes the first condition information, the first condition information includes the speed information of the terminal device, the speed of the terminal device indicated by the first indication message is 90km / h~120km / h, and the speed of the terminal device indicated by the third indication message is 30km / h~60km / h, then it can be determined that the first indication message is different from the third indication message.

[0188] It should be noted that the above explanation of “the first indication message is different from the third indication message” is an exemplary explanation, and the embodiments of the present disclosure do not limit this.

[0189] In some embodiments, the first threshold may be configured by a network device, may be agreed upon by a protocol, or may be determined autonomously by a terminal device, which is not limited in the embodiments of the present disclosure.

[0190] For example, if the first information includes the first condition information, and the first condition information includes speed information of the terminal device, the first threshold may be 100 km / h or 30 km / h.

[0191] In some embodiments, if the terminal device determines that the first indication message is different from the third indication message, the first indication message may be sent to the network device.

[0192] In some embodiments, if the terminal device determines that the state of the first information indicated by the first indication message is less than or greater than a first threshold, the first indication message may be sent to the network device. For example, if the first threshold is 100 km / h and the speed of the terminal device is 120 km / h, the first indication message may be sent to the network device; if the first threshold is 30 km / h and the speed of the terminal device is 15 km / h, the first indication message may be sent to the network device.

[0193] In some embodiments, the terminal device determines that the first indication message is different from the third indication message, and the state of the first information indicated by the first indication message is less than or greater than the first threshold, and can send the first indication message to the network device.

[0194] Step S2102: The network device performs an AI operation according to the first instruction message.

[0195] In some embodiments, the AI ​​operation may include an AI model-based operation or an AI function-based operation.

[0196] In some embodiments, the network device may determine whether to use the AI ​​model or AI function based on the first indication message.

[0197] In some embodiments, the network device may select an AI model or AI function based on the first indication message, for example, selecting an AI model or AI function that matches the first indication message from multiple AI models or AI functions.

[0198] Using the above method, the terminal device can send a first indication message to the network device to assist the network device in performing AI operations based on the AI ​​model or AI function, thereby improving the prediction accuracy of the AI ​​model or AI function.

[0199] The method involved in the embodiment of the present disclosure may include at least one of the above steps S2101 to S2102. For example, step S2101 may be implemented as an independent embodiment, and step S2102 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0200] In some embodiments, the above steps S2101 and S2102 may be executed in an interchanged order or simultaneously.

[0201] In some embodiments, the above steps S2101 and S2102 are optional steps.

[0202] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2A .

[0203] FIG2B is an interactive diagram of a communication method according to an embodiment of the present disclosure. The method may be executed by the above-mentioned communication system. As shown in FIG2B , the method may include:

[0204] Step S2201: The network device sends a fifth indication message to the terminal device.

[0205] In some embodiments, the fifth indication message may be used to indicate a status of the first information corresponding to the AI ​​model or the AI ​​function configured by the network device.

[0206] In some embodiments, the fifth indication message may be the status of the first information corresponding to the AI ​​model or AI function to be used or currently being used by the network device.

[0207] In some embodiments, step S2201 may also be omitted, and the terminal device may use the status of the first information reported for the last time as the fifth indication message.

[0208] Step S2202: The terminal device determines the fourth indication message according to the fifth indication message.

[0209] In some embodiments, the first message may include the fourth indication message, and the fourth indication message may be used by the network device to perform at least one of the following operations:

[0210] activating the AI ​​model or the AI ​​function;

[0211] Deactivating the AI ​​model or the AI ​​function;

[0212] Fallback to non-AI operation mode.

[0213] In some embodiments, "activating an AI model or AI function" may also be referred to as "turning on an AI model or AI function" or "using an AI model or AI function."

[0214] In some embodiments, “deactivating an AI model or AI function” may also be referred to as “turning off an AI model or AI function.”

[0215] In some embodiments, “falling back to a non-AI operation mode” can be understood as not using an AI model or AI function, or as a mode in which an AI model or AI function is not deployed.

[0216] It should be noted that the above-mentioned fourth indication message is an example. The fourth indication message may also include other operations for AI models or AI functions, which is not limited in this embodiment of the present disclosure.

[0217] In some embodiments, if the fifth indication message is the same as the first indication message, it can be determined that the fourth indication message is to activate the AI ​​model or the AI ​​function; if it is determined that the fifth indication message is different from the first indication message, it can be determined that the fourth indication message is to deactivate the AI ​​model or the AI ​​function, or to fall back to a non-AI operation mode.

[0218] In some embodiments, the specific manner of determining that the fifth indication message is different from the first indication message may refer to the manner of determining that the first indication message is different from the third indication message in step S2101, which will not be repeated here.

[0219] In some embodiments, "the fifth indication message is the same as the first indication message" can be understood as "the state of the first information indicated by the fifth indication message is the same as the state of the first information indicated by the first indication message", or "the value of the first information indicated by the fifth indication message is the same as the value of the first information indicated by the first indication message", or "the value range of the first information indicated by the fifth indication message is the same as the value range of the first information indicated by the first indication message", or "the difference between the third value and the first value is greater than the first threshold", where the third value is the value of the first information indicated by the fifth indication message.

[0220] For example, if the first information includes the first condition information, the first condition information includes the speed information of the terminal device, the speed of the terminal device indicated by the first indication message is 90km / h~120km / h, and the speed of the terminal device indicated by the fifth indication message is 90km / h~120km / h, then it can be determined that the fifth indication message is different from the first indication message.

[0221] It should be noted that the above explanation of “the fifth indication message is the same as the first indication message” is an exemplary explanation, and the embodiments of the present disclosure do not limit this.

[0222] In some embodiments, if the fifth indication message is different from the first indication message, it can be determined that the fourth indication message is to deactivate the AI ​​model or AI function.

[0223] In some embodiments, if the fifth indication message is different from the first indication message, it can be determined that the fourth indication message is to fall back to a non-AI operation mode.

[0224] Step S2203: The terminal device sends a fourth indication message to the network device.

[0225] In some embodiments, if the fifth indication message is the same as the first indication message, the terminal device may instruct the network device to activate the AI ​​model or AI function.

[0226] In some embodiments, if the fifth indication message is different from the first indication message, the terminal device may instruct the network device to deactivate the AI ​​model or AI function, or instruct the network device to fall back to a non-AI operation mode.

[0227] Step S2204: The network device performs AI operation according to the fourth instruction message.

[0228] In some embodiments, if the fourth indication message is to activate an AI model or an AI function, the network device may activate the AI ​​model or the AI ​​function.

[0229] In some embodiments, if the fourth indication message is to deactivate the AI ​​model or AI function, the network device may deactivate the AI ​​model or AI function.

[0230] In some embodiments, if the fourth indication message is to fall back to a non-AI operation mode, the network device may fall back to a non-AI operation mode.

[0231] Using the above method, the terminal device can send a fourth indication message to the network device so that the network device can determine whether to activate the AI ​​model or AI function, avoiding the network device from performing AI operations when the accuracy of the AI ​​model or AI function is low, thereby improving system performance.

[0232] The method involved in the embodiments of the present disclosure may include at least one of the above steps S2201 to S2204. For example, step S2201 can be implemented as an independent embodiment, step S2202 can be implemented as an independent embodiment, step S2203 can be implemented as an independent embodiment, step S2204 can be implemented as an independent embodiment, step S2201 + step S2202 can be implemented as an independent embodiment, step S2203 + step S2204 can be implemented as an independent embodiment, step S2201 + step S2202 + step S2203 can be implemented as an independent embodiment, and step S2202 + step S2203 + step S2204 can be implemented as an independent embodiment, but the present invention is not limited thereto.

[0233] In some embodiments, the above steps S2201 to S2204 can be executed in a swapped order or simultaneously.

[0234] In some embodiments, the above steps S2201 to S2204 are all optional steps.

[0235] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0236] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0237] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0238] In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, a certain A, any A, or first A, etc., but not limited to this.

[0239] FIG3A is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG3A , the embodiment of the present disclosure relates to a communication method, which can be executed by a terminal device. The method may include:

[0240] Step S3101: Send a first indication message based on first configuration information.

[0241] The optional implementation of step S3101 can refer to the optional implementation of step S2101 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0242] In some embodiments, the terminal device may send the first indication message to the network device, but is not limited thereto. The terminal device may also send the first indication message to other entities.

[0243] FIG3B is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG3B , the embodiment of the present disclosure relates to a communication method, which can be executed by a terminal device. The method may include:

[0244] Step S3201: Obtain the fifth indication message.

[0245] The optional implementation of step S3201 can refer to the optional implementation of step S2201 in Figure 2B and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0246] In some embodiments, the terminal device may receive the fifth indication message sent by the network device, but is not limited thereto. The terminal device may also receive the fifth indication message sent by other entities.

[0247] In some embodiments, the terminal device may obtain a fifth indication message specified by the protocol.

[0248] In some embodiments, the terminal device may obtain the fifth indication message from an upper layer(s).

[0249] In some embodiments, the terminal device may perform processing to obtain the fifth indication message.

[0250] In some embodiments, step S3201 may be omitted, and the terminal device may autonomously implement the function indicated by the fifth indication message, or the above function may be default or by default.

[0251] Step S3202: Determine a fourth indication message according to the fifth indication message.

[0252] The optional implementation of step S3202 can refer to the optional implementation of step S2202 in Figure 2B and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0253] Step S3203: Send a fourth indication message.

[0254] The optional implementation of step S3203 can refer to the optional implementation of step S2203 in Figure 2B and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0255] In some embodiments, the terminal device may send the fourth indication message to the network device, but is not limited thereto. The terminal device may also send the fourth indication message to other entities.

[0256] The method involved in the embodiment of the present disclosure may include at least one of the above steps S3201 to S3203. For example, step S3201 can be implemented as an independent embodiment, step S3202 can be implemented as an independent embodiment, and step S3203 can be implemented as an independent embodiment, but are not limited thereto.

[0257] In some embodiments, the above steps S3201 to S3203 can be executed in a swapped order or simultaneously.

[0258] In some embodiments, the above steps S3201 to S3203 are all optional steps.

[0259] FIG3C is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG3C , the embodiment of the present disclosure relates to a communication method, which can be executed by a terminal device. The method may include:

[0260] Step S3301: Send the first message.

[0261] The optional implementation of step S3301 can be found in step S2101 of FIG. 2A , step S2203 of FIG. 2B , step S3101 of FIG. 3A , step S3203 of FIG. 3B , and other related parts in the embodiments involved in FIG. 2A , FIG. 2B , FIG. 3A , and FIG. 3B , which will not be repeated here.

[0262] In some embodiments, the first message can be used by the network device to perform artificial intelligence (AI) operations, where the AI ​​operations include operations based on AI models or operations based on AI functions.

[0263] In some embodiments, the first message may include at least one of the following:

[0264] the first indication message;

[0265] The fourth indication message.

[0266] In some embodiments, the first message includes a first indication message, which is used to indicate the status of first information. The first information is information related to the terminal device used by the network device to train the AI ​​model or the network device to train the AI ​​function. The status of the first information is the value or value range of all elements in the first information, or the value or value range of some elements in the first information.

[0267] In some embodiments, the first information includes first condition information, which includes configuration information and / or environmental information corresponding to the terminal device, and different AI models or AI functions correspond to different first condition information.

[0268] In some embodiments, sending the first message to the network device includes:

[0269] Based on the first configuration information, the first indication message is sent to the network device.

[0270] In some embodiments, the first configuration information includes at least one of the following:

[0271] a sending period, where the sending period is used for the terminal device to periodically send the first indication message;

[0272] a second indication message, where the second indication message is used to request reporting of the first indication message;

[0273] A first condition is used to determine whether to report the first indication message.

[0274] In some embodiments, the first condition includes at least one of the following:

[0275] The first indication message is different from the third indication message, wherein the third indication message is used to indicate a status of first information reported by the terminal device before the first indication message;

[0276] The status of the first information indicated by the first indication message is less than or greater than a first threshold.

[0277] In some embodiments, the method further comprises:

[0278] Receive the second indication message sent by the network device.

[0279] In some embodiments, the first message includes a fourth indication message, and the fourth indication message is used by the network device to perform at least one of the following operations:

[0280] activating the AI ​​model or the AI ​​function;

[0281] Deactivating the AI ​​model or the AI ​​function;

[0282] Fallback to non-AI operation mode.

[0283] In some embodiments, sending the first message to the network device includes:

[0284] Determining the fourth indication message according to a fifth indication message, where the fifth indication message is used to indicate a status of first information corresponding to the AI ​​model or the AI ​​function configured on the network device;

[0285] Send the fourth indication message to the network device.

[0286] In some embodiments, determining the fourth indication message according to the fifth indication message includes:

[0287] In response to the fifth indication message being the same as the first indication message, determining that the fourth indication message is to activate the AI ​​model or the AI ​​function;

[0288] In response to the fifth indication message being different from the first indication message, it is determined that the fourth indication message is to deactivate the AI ​​model or the AI ​​function, or to fall back to a non-AI operation mode.

[0289] In some embodiments, the method further comprises:

[0290] Receive the fifth indication message sent by the network device.

[0291] FIG4A is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4A , the embodiment of the present disclosure relates to a communication method, which can be performed by a network device. The method may include:

[0292] Step S4101: Obtain a first indication message.

[0293] The optional implementation of step S4101 can refer to the optional implementation of step S2101 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0294] Step S4102: Perform AI operation according to the first instruction message.

[0295] The optional implementation of step S4102 can refer to the optional implementation of step S2102 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0296] The method involved in the embodiment of the present disclosure may include at least one of the above steps S4101 to S4102. For example, step S4101 may be implemented as an independent embodiment, and step S4102 may be implemented as an independent embodiment.

[0297] In some embodiments, the above steps S4101 and S4102 can be executed in an interchanged order or simultaneously.

[0298] In some embodiments, the above steps S4101 and S4102 are optional steps.

[0299] FIG4B is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4B , the embodiment of the present disclosure relates to a communication method, which can be performed by a network device. The method may include:

[0300] Step S4201: Send the fifth indication message.

[0301] The optional implementation of step S4201 can refer to the optional implementation of step S2201 in Figure 2B and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0302] Step S4202: Obtain a fourth indication message.

[0303] The optional implementation of step S4202 can refer to the optional implementation of step S2203 in Figure 2B and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0304] Step S4203: Perform AI operation according to the fourth instruction message.

[0305] The optional implementation of step S4203 can refer to the optional implementation of step S2204 in Figure 2B and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0306] The method involved in the embodiment of the present disclosure may include at least one of the above steps S4201 to S4203. For example, step S4201 can be implemented as an independent embodiment, step S4202 can be implemented as an independent embodiment, and step S4203 can be implemented as an independent embodiment, but are not limited thereto.

[0307] In some embodiments, the above steps S4201 to S4203 can be executed in a swapped order or simultaneously.

[0308] In some embodiments, the above steps S4201 to S4203 are all optional steps.

[0309] FIG4C is a flow chart of a communication method according to an embodiment of the present disclosure. As shown in FIG4C , an embodiment of the present disclosure relates to a communication method, which can be performed by a network device. The method may include:

[0310] Step S4301: Get the first message.

[0311] The optional implementation of step S4301 can be found in the optional implementation of step S2101 in Figure 2A, step S2203 in Figure 2B, step S4101 in Figure 4A, step S4202 in Figure 4B, and other related parts in the embodiments involved in Figures 2A, 2B, 4A, and 4B, which will not be repeated here.

[0312] In some embodiments, the first message can be used by the network device to perform artificial intelligence (AI) operations, where the AI ​​operations include operations based on AI models or operations based on AI functions.

[0313] In some embodiments, the first message may include at least one of the following:

[0314] the first indication message;

[0315] The fourth indication message.

[0316] Step S4302: Perform AI operation according to the first message.

[0317] The optional implementation of step S4302 can be found in the optional implementation of step S2102 in Figure 2A, step S2204 in Figure 2B, step S4102 in Figure 4A, step S4203 in Figure 4B, and other related parts in the embodiments involved in Figures 2A, 2B, 4A, and 4B, which will not be repeated here.

[0318] In some embodiments, the first message includes a first indication message, which is used to indicate the status of first information. The first information is information related to the terminal device used by the network device to train the AI ​​model or the network device to train the AI ​​function. The status of the first information is the value or value range of all elements in the first information, or the value or value range of some elements in the first information.

[0319] In some embodiments, the first information includes first condition information, which includes configuration information and / or environmental information corresponding to the terminal device, and different AI models or AI functions correspond to different first condition information.

[0320] In some embodiments, the receiving a first message sent by the terminal device includes:

[0321] Receive the first indication message sent by the terminal device based on the first configuration information.

[0322] In some embodiments, the first configuration information includes at least one of the following:

[0323] a sending period, where the sending period is used for the terminal device to periodically send the first indication message;

[0324] a second indication message, where the second indication message is used to request reporting of the first indication message;

[0325] A first condition is used to determine whether to report the first indication message.

[0326] In some embodiments, the first condition includes at least one of the following:

[0327] The first indication message is different from the third indication message, wherein the third indication message is used to indicate a status of first information reported by the terminal device before the first indication message;

[0328] The status of the first information indicated by the first indication message is less than or greater than a first threshold.

[0329] In some embodiments, the method further comprises:

[0330] Send the second indication message to the terminal device.

[0331] In some embodiments, the first message includes a fourth indication message, and the fourth indication message is used by the network device to perform at least one of the following operations:

[0332] activating the AI ​​model or the AI ​​function;

[0333] Deactivating the AI ​​model or the AI ​​function;

[0334] Fallback to non-AI operation mode.

[0335] In some embodiments, receiving the first message sent by the terminal device includes:

[0336] Receive the fourth indication message sent by the terminal device, where the fourth indication message is determined based on the fifth indication message, and the fifth indication message is used to indicate the status of the first information corresponding to the AI ​​model or the AI ​​function configured by the network device.

[0337] In some embodiments, the method further comprises:

[0338] Send the fifth indication message to the terminal device.

[0339] FIG5 is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG5 , the embodiment of the present disclosure relates to a communication method, which can be executed by a communication system. The method may include:

[0340] Step S5101: The terminal device sends a first message to the network device.

[0341] For the optional implementation of step S5101, please refer to the optional implementation of step S2101 in Figure 2A, step S2203 in Figure 2B, step S3101 in Figure 3A, step S3203 in Figure 3B, step S4101 in Figure 4A, step S4202 in Figure 4B, and other related parts in the embodiments involved in Figures 2A, 2B, 3A, 3B, 4A, and 4B, which will not be repeated here.

[0342] Step S5102: The network device performs an AI operation according to the first message.

[0343] The optional implementation of step S5102 can be found in the optional implementation of step S2102 in Figure 2A, step S2204 in Figure 2B, step S4102 in Figure 4A, step S4203 in Figure 4B, and other related parts in the embodiments involved in Figures 2A, 2B, 4A, and 4B, which will not be repeated here.

[0344] In some embodiments, the above method may include the method described in the embodiments of the above communication system, terminal equipment, network equipment, etc., which will not be repeated here.

[0345] In some embodiments of the present disclosure, a communication method is provided, which may include at least one of the following embodiments:

[0346] Example 1: The terminal device sends a first signaling to the network device, where the first signaling includes auxiliary information for assisting the network side to perform AI operations.

[0347] Example 2: Based on Example 1, the first signaling includes an indication of the status of the first type of information, where the first type of information is associated information of the AI ​​model deployed on the network side during model training.

[0348] In some embodiments, the first type of information is an additional condition on the UE side, and the additional condition on the UE side is different in different AI functions or different use cases. For example, in AI-based time domain beam prediction or AI-based CSI prediction, the UE additional condition can be terminal speed information. In AI-based CSI compression, the additional condition on the UE side can be the channel state on the terminal side, such as SINR. Therefore, different UE-side additional conditions are defined for different AI use cases or AI functions.

[0349] Embodiment 3: Based on embodiment 2, the terminal sends the first signaling at the time and using the resources configured by the network.

[0350] In some embodiments, the network configures the terminal to periodically report the status of the first type of information, and the reporting period is configured by the network. Furthermore, the measurement resources required to obtain the first type of information may also be configured by the network.

[0351] In some embodiments, the terminal reports the status of the first type of information based on a signaling trigger of the network. For example, the network sends a request for the status of the first type of information to the terminal, and the terminal monitors the status of the first type of information based on the request of the network and reports the monitoring result.

[0352] In some embodiments, the terminal reports based on events, which may include:

[0353] The current state of the first type of information has changed from the state of the previously reported first type of information. For example, the moving speed range reported by the terminal last time was 30km / h to 60km / h, but the current moving speed of the terminal has increased to 90km / h to 120km / h; or

[0354] The terminal reports the current state of the first type of information only when the state is lower than or higher than the threshold configured by the network.

[0355] In embodiment 4, based on embodiment 1, the first signaling includes a suggestion indicating the terminal side to the network side for AI operation. The suggestion may include: turning on the AI ​​model / AI function, turning off the AI ​​model / AI function, and falling back to non-AI operation.

[0356] Embodiment 5, based on embodiment 4, the method further includes: the network sending, to the terminal before the terminal sends the first signaling, a status of the first type of information corresponding to the AI ​​model / AI function to be used or in use, for example, the corresponding UE speed range or SINR range.

[0357] In Example 6, based on Example 4 or 5, the terminal side monitors the state of the first type of information to determine whether the current state of the first type of information is consistent with the state of the first type of information corresponding to the AI ​​model / AI function to be used or currently used by the network. If they are consistent, the network is recommended to use or activate the AI ​​model / AI function. If they are inconsistent, the network is recommended to shut down the AI ​​model / AI function or return to a non-AI operation state.

[0358] In some embodiments of the present disclosure, a communication system is provided, which may include a terminal device and a network device, wherein the terminal device can execute the communication method executed by the terminal device in the aforementioned embodiment of the present disclosure; the network device can execute the communication method executed by the network device in the aforementioned embodiment of the present disclosure.

[0359] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0360] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), and the functions of some or all of the above units or modules are realized by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0361] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of a hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document to implement the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0362] Figure 6A is a structural diagram of a terminal device proposed in an embodiment of the present disclosure. As shown in Figure 6A, the terminal device 101 may include at least one of a transceiver module 6101, a processing module 6102, etc. In some embodiments, the transceiver module 6101 is configured to send a first message to a network device, and the first message is used for the network device to perform an artificial intelligence AI operation, and the AI ​​operation includes an AI model-based operation or an AI function-based operation. Optionally, the transceiver module 6101 can be used to execute at least one of the communication steps such as sending and / or receiving (such as step S2101, but not limited to this) performed by the terminal device 101 in any of the above methods, which will not be repeated here.

[0363] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0364] Figure 6B is a structural diagram of a network device proposed in an embodiment of the present disclosure. As shown in Figure 6B, the network device 102 may include: at least one of a transceiver module 6201, a processing module 6202, etc. In some embodiments, the transceiver module 6201 is configured to receive a first message sent by a terminal device; the processing module 6202 is configured to perform an artificial intelligence (AI) operation based on the first message, and the AI ​​operation includes an operation based on an AI model or an operation based on an AI function. Optionally, the transceiver module 6201 can be used to execute at least one of the communication steps such as sending and / or receiving (for example, step S4101, but not limited to this) performed by the network device 102 in any of the above methods, which will not be repeated here. Optionally, the processing module 6202 can be used to execute at least one of the other steps (for example, step S2102, but not limited to this) performed by the network device 102 in any of the above methods, which will not be repeated here.

[0365] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0366] In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules each execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.

[0367] Figure 7A is a schematic diagram of the structure of a communication device 7100 proposed in an embodiment of the present disclosure. Communication device 7100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user device, etc.), a chip, a chip system, or a processor that supports a first device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. Communication device 7100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0368] As shown in FIG7A , the communication device 7100 includes one or more processors 7101. The processor 7101 may be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, and the central processing unit may be used to control a communication device (e.g., a base station, a baseband chip, an IoT device, an IoT device chip, a DU or CU, etc.), execute programs, and process program data. The communication device 7100 is used to perform any of the above methods.

[0369] In some embodiments, the communication device 7100 further includes one or more memories 7102 for storing instructions. Optionally, all or part of the memories 7102 may be located outside the communication device 7100.

[0370] In some embodiments, the communication device 7100 further includes one or more transceivers 7103. When the communication device 7100 includes one or more transceivers 7103, the transceiver 7103 performs at least one of the communication steps such as sending and / or receiving in the above method (for example, step S2101 and step S4101, but not limited thereto), and the processor 7101 performs at least one of the other steps (for example, step S2102, but not limited thereto).

[0371] In some embodiments, a transceiver may include a receiver and / or a transmitter. The receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0372] In some embodiments, the communication device 7100 may include one or more interface circuits. Optionally, the interface circuits are connected to the memory 7102 and may be used to receive signals from the memory 7102 or other devices, or to send signals to the memory 7102 or other devices. For example, the interface circuits may read instructions stored in the memory 7102 and send the instructions to the processor 7101.

[0373] The communication device 7100 described in the above embodiments may be a first device or an IoT device, but the scope of the communication device 7100 described in the present disclosure is not limited thereto, and the structure of the communication device 7100 may not be limited by FIG. 7A . The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, an IoT device, an intelligent IoT device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a first device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0374] 7B is a schematic diagram of the structure of a chip 7200 proposed in an embodiment of the present disclosure. If the communication device 7100 can be a chip or a chip system, please refer to the schematic diagram of the structure of the chip 7200 shown in FIG7B , but the present disclosure is not limited thereto.

[0375] The chip 7200 includes one or more processors 7201 , and the chip 7200 is configured to execute any of the above methods.

[0376] In some embodiments, the chip 7200 further includes one or more interface circuits 7203. Optionally, the interface circuit 7203 is connected to the memory 7202. The interface circuit 7203 can be used to receive signals from the memory 7202 or other devices, and can be used to send signals to the memory 7202 or other devices. For example, the interface circuit 7203 can read instructions stored in the memory 7202 and send the instructions to the processor 7201.

[0377] In some embodiments, the interface circuit 7203 executes at least one of the communication steps such as sending and / or receiving in the above method (for example, step S2101, step S4101, but not limited to this), and the processor 7201 executes at least one of the other steps (for example, step S2102, but not limited to this).

[0378] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0379] In some embodiments, the chip 7200 further includes one or more memories 7202 for storing instructions. Alternatively, all or part of the memory 7202 may be external to the chip 7200.

[0380] The embodiments of the present disclosure further provide a storage medium having instructions stored thereon. When the instructions are executed on the communication device 7100, the communication device 7100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto, and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto, and may also be a temporary storage medium.

[0381] The present disclosure also provides a program product, which, when executed by the communication device 7100, enables the communication device 7100 to perform any of the above methods. Optionally, the program product may be a computer program product.

[0382] The embodiments of the present disclosure also provide a computer program, which, when executed on a computer, enables the computer to execute any one of the above methods.

Claims

1. A communication method, characterized in that: Executed by a terminal device, the method includes: A first message is sent to a network device, where the first message is used by the network device to perform an artificial intelligence (AI) operation, where the AI operation includes an AI model-based operation or an AI function-based operation.

2. The method according to claim 1, characterized in that The first message includes a first indication message, which is used to indicate the status of first information. The first information is information related to the terminal device used by the network device to train the AI model or the network device to train the AI function. The status of the first information is the value or value range of all elements in the first information, or the value or value range of some elements in the first information.

3. The method according to claim 2, characterized in that The first information includes first condition information, which includes configuration information and / or environmental information corresponding to the terminal device. Different AI models or AI functions correspond to different first condition information.

4. The method according to claim 2 or 3, characterized in that The sending of the first message to the network device includes: Based on the first configuration information, the first indication message is sent to the network device.

5. The method according to claim 4, characterized in that The first configuration information includes at least one of the following: a sending period, where the sending period is used for the terminal device to periodically send the first indication message; a second indication message, where the second indication message is used to request reporting of the first indication message; A first condition is used to determine whether to report the first indication message.

6. The method according to claim 5, characterized in that The first condition includes at least one of the following: The first indication message is different from the third indication message, wherein the third indication message is used to indicate a status of first information reported by the terminal device before the first indication message; The status of the first information indicated by the first indication message is less than or greater than a first threshold.

7. The method according to claim 5 or 6, characterized in that The method further comprises: Receive the second indication message sent by the network device.

8. The method according to any one of claims 2 to 7, characterized in that: The first message includes a fourth indication message, where the fourth indication message is used by the network device to perform at least one of the following operations: activating the AI model or the AI function; Deactivating the AI model or the AI function; Fallback to non-AI operation mode.

9. The method according to claim 8, characterized in that The sending of the first message to the network device includes: Determining the fourth indication message according to a fifth indication message, where the fifth indication message is used to indicate a status of first information corresponding to the AI model or the AI function configured on the network device; Send the fourth indication message to the network device.

10. The method according to claim 9, characterized in that The determining, according to the fifth indication message, the fourth indication message includes: In response to the fifth indication message being the same as the first indication message, determining that the fourth indication message is to activate the AI model or the AI function; In response to the fifth indication message being different from the first indication message, it is determined that the fourth indication message is to deactivate the AI model or the AI function, or to fall back to a non-AI operation mode.

11. The method according to claim 9 or 10, characterized in that The method further comprises: Receive the fifth indication message sent by the network device.

12. A communication method, characterized in that: Executed by a network device, the method includes: receiving a first message sent by a terminal device; An artificial intelligence (AI) operation is performed according to the first message, where the AI operation includes an AI model-based operation or an AI function-based operation.

13. The method according to claim 12, characterized in that The first message includes a first indication message, which is used to indicate the status of first information. The first information is information related to the terminal device used by the network device to train the AI model or the network device to train the AI function. The status of the first information is the value or value range of all elements in the first information, or the value or value range of some elements in the first information.

14. The method according to claim 13, characterized in that The first information includes first condition information, which includes configuration information and / or environmental information corresponding to the terminal device. Different AI models or AI functions correspond to different first condition information.

15. The method according to claim 13 or 14, characterized in that The receiving a first message sent by the terminal device includes: Receive the first indication message sent by the terminal device based on the first configuration information.

16. The method according to claim 15, characterized in that The first configuration information includes at least one of the following: a sending period, where the sending period is used for the terminal device to periodically send the first indication message; a second indication message, where the second indication message is used to request reporting of the first indication message; A first condition is used to determine whether to report the first indication message.

17. The method according to claim 16, characterized in that The first condition includes at least one of the following: The first indication message is different from the third indication message, wherein the third indication message is used to indicate a status of first information reported by the terminal device before the first indication message; The status of the first information indicated by the first indication message is less than or greater than a first threshold.

18. The method according to claim 16 or 17, characterized in that The method further comprises: Send the second indication message to the terminal device.

19. The method according to any one of claims 13 to 18, characterized in that: The first message includes a fourth indication message, where the fourth indication message is used by the network device to perform at least one of the following operations: activating the AI model or the AI function; Deactivating the AI model or the AI function; Fallback to non-AI operation mode.

20. The method according to claim 19, characterized in that The receiving a first message sent by the terminal device includes: Receive the fourth indication message sent by the terminal device, where the fourth indication message is determined based on the fifth indication message, and the fifth indication message is used to indicate the status of the first information corresponding to the AI model or the AI function configured by the network device.

21. The method according to claim 20, characterized in that The method further comprises: Send the fifth indication message to the terminal device.

22. A terminal device, characterized in that: include: The transceiver module is configured to send a first message to the network device, where the first message is used for the network device to perform an artificial intelligence (AI) operation, where the AI operation includes an AI model-based operation or an AI function-based operation.

23. A network device, characterized in that: include: a transceiver module, configured to receive a first message sent by a terminal device; The processing module is configured to perform an artificial intelligence (AI) operation according to the first message, where the AI operation includes an AI model-based operation or an AI function-based operation.

24. A communication device, characterized in that: include: one or more processors; The communication device is used to execute the communication method according to any one of claims 1 to 11 or claims 12 to 21.

25. A storage medium storing instructions, characterized in that: When the instruction is executed on a communication device, the communication device is caused to execute the communication method according to any one of claims 1 to 11 or claims 12 to 21.

26. A communication system, characterized in that: The communication system includes a terminal device and a network device, wherein the terminal device is configured to implement the communication method according to any one of claims 1 to 11, and the network device is configured to implement the communication method according to any one of claims 12 to 21.

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