AI communication method, equipment and medium

Abstract

The invention provides an AI communication method and device and a medium, relates to the technical field of communication, is applied to mobile communication between a network device and a terminal device based on the AI technology, and comprises the steps that the terminal device receives AI operation indication information sent by the network device, the AI operation indication information is used for requesting the terminal equipment to judge whether the current AI operation is adapted to be executed or not. According to the invention, the AI operation indication information received by the terminal device can improve the information matching degree of artificial intelligence communication between the network device and the terminal device, thereby guaranteeing the artificial intelligence communication effect.

Description

Technical Field

[0001] This disclosure relates at least to the field of communication technologies, and in particular, to an artificial intelligence (AI) communication method, a network device, a terminal device, and a computer-readable storage medium. Background Art

[0002] In recent years, a large number of application cases of the integration of AI (Artificial Intelligence) and wireless communication systems have emerged. When introducing AI technology into a wireless communication system, a possible working mode is that AI-related operations (including but not limited to model training, model inference, etc.) are executed in a terminal device.

[0003] Currently, in the mobile communication process between a network device and a terminal device based on AI technology, there is a lack of monitoring of the feasibility information of AI operations by the network device, which affects the success rate and efficiency of the terminal device in executing AI operations. Summary of the Invention

[0004] The technical problem to be solved by this disclosure is to provide an artificial intelligence (AI) communication method, a terminal device, a network device, and a computer-readable storage medium to solve the problem that the network device cannot obtain AI operation-related information of the terminal device.

[0005] In a first aspect, this disclosure provides an artificial intelligence (AI) communication method, the method

[0006] includes:

[0007] A terminal device receives AI operation instruction information sent by a network device, where the AI operation instruction information is used to request the terminal device to determine whether it is currently suitable for executing an AI operation.

[0008] In a second aspect, this disclosure provides an artificial intelligence (AI) communication method, the method

[0009] includes:

[0010] A network device sends AI operation instruction information to a terminal device, where the AI operation instruction information is used to request the terminal device to determine whether it is currently suitable for executing an AI operation.

[0011] In a third aspect, this disclosure provides a network device, including:

[0012] A first receiving module, configured to receive artificial intelligence (AI) operation instruction information from a network device, where the AI operation instruction information is used to request the terminal device to determine whether it is currently suitable for executing an AI operation.

[0013] In a fourth aspect, this disclosure provides a terminal device, including:

[0014] A first sending module, configured to send artificial intelligence (AI) operation instruction information to a terminal device, where the AI operation instruction information is used to request the terminal device to determine whether it is currently suitable for performing an AI operation.

[0015] In a fifth aspect, the present disclosure provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is run by a processor, the artificial intelligence (AI) communication method described above is implemented.

[0016] The present disclosure provides an artificial intelligence (AI) communication method, a terminal device, a network device, and a computer-readable storage medium. The AI operation instruction information received by the terminal device improves the information matching degree of artificial intelligence communication between the network device and the terminal device, thereby ensuring the artificial intelligence communication effect. Description of the Drawings

[0017] Figure 1 is a flowchart of an artificial intelligence (AI) communication method according to an embodiment of the present disclosure;

[0018] Figure 2 is a first interaction flowchart of an artificial intelligence (AI) communication method according to an embodiment of the present disclosure;

[0019] Figure 3 is a second interaction flowchart of an artificial intelligence (AI) communication method according to an embodiment of the present disclosure;

[0020] Figure 4 is a third interaction flowchart of an artificial intelligence (AI) communication method according to an embodiment of the present disclosure;

[0021] Figure 5 is a fourth interaction flowchart of an artificial intelligence (AI) communication method according to an embodiment of the present disclosure;

[0022] Figure 6 is a fifth interaction flowchart of an artificial intelligence (AI) communication method according to an embodiment of the present disclosure;

[0023] Figure 7 is a flowchart of another artificial intelligence (AI) communication method according to an embodiment of the present disclosure;

[0024] Figure 8 is a schematic structural diagram of a network device according to an embodiment of the present disclosure;

[0025] Figure 9 is a schematic structural diagram of a terminal device according to an embodiment of the present disclosure. Detailed Embodiments

[0026] To enable those skilled in the art to better understand the technical solutions of the present disclosure, the embodiments of the present disclosure will be further described in detail below with reference to the accompanying drawings.

[0027] It can be understood that the specific embodiments and the accompanying drawings described herein are only for explaining the present disclosure, rather than limiting the present disclosure.

[0028] It can be understood that, without conflict, the various embodiments in the present disclosure and the various features in the embodiments may be combined with each other.

[0029] It can be understood that, for the convenience of description, only the parts related to the present disclosure are shown in the accompanying drawings of the present disclosure, and the parts unrelated to the present disclosure are not shown in the accompanying drawings.

[0030] It can be understood that each unit and module involved in the embodiments of the present disclosure may correspond to only one physical structure, or may be composed of multiple physical structures, or multiple units and modules may also be integrated into one physical structure.

[0031] It can be understood that, without conflict, the functions and steps marked in the flowcharts and block diagrams of the present disclosure may occur in an order different from that marked in the accompanying drawings.

[0032] It can be understood that in the flowcharts and block diagrams of the present disclosure, the possible architectures, functions, and operations of the systems, devices, equipment, and methods according to the various embodiments of the present disclosure are shown. Among them, each block in the flowchart or block diagram may represent a unit, module, program segment, or code, which contains executable instructions for implementing the specified function. Moreover, each block or combination of blocks in the block diagram and flowchart may be implemented by a hardware-based system for implementing the specified function, or may be implemented by a combination of hardware and computer instructions.

[0033] It can be understood that the units and modules involved in the embodiments of the present disclosure may be implemented in software or in hardware. For example, the units and modules may be located in the processor.

[0034] Embodiment 1:

[0035] As Figure 1 shown, the present disclosure provides an artificial intelligence (AI) communication method, which is applied to a terminal device and includes:

[0036] S11. The terminal device receives AI operation instruction information sent by a network device, where the AI operation instruction information is used to request the terminal device to determine whether it is currently suitable for performing an AI operation.

[0037] Specifically, benefiting from the advantages of AI technology in dealing with non-linear and complex problems, introducing AI technology into wireless communication systems is expected to break through the performance bottleneck of wireless communication technology. Introducing artificial intelligence into wireless communication systems is a future development trend of wireless technology. However, both model training and model inference in artificial intelligence technology require certain computing resources and generate corresponding energy consumption. Moreover, due to the dependence of artificial intelligence models on data, the model generalization ability is limited, and different scenarios may require different models to complete the inference task. Therefore, device status, hardware conditions, and application scenarios will all affect the effect of the device when performing artificial intelligence operations, especially for terminal devices. Terminal devices not only have limited computing resources and power, but also have a large number of fast-changing application scenarios due to their strong mobility. Sometimes the status or the scenario of the terminal device is not suitable for the AI operation that needs to be performed currently. There is currently no relevant solution to this problem.

[0038] In this embodiment, the terminal device receives AI operation indication information sent by the network device to improve the information matching degree of artificial intelligence communication between the network device and the terminal device, thereby ensuring the artificial intelligence communication effect.

[0039] The AI operation indication information in this embodiment is used to instruct the terminal device to report relevant information on whether it is currently suitable for performing AI operations. Specifically, it can directly report whether the terminal device is currently suitable for performing AI operations, or report relevant information for evaluating whether the terminal device is currently suitable for performing AI operations.

[0040] A more specific interaction implementation example between the network device and the terminal device is as Figure 2 shown. The method includes Step 1: The network device sends AI operation indication information to the terminal device to assist the network device in determining whether the terminal device is suitable for performing AI operations. The network device can be at least one of a base station, a core network, a core network element, a network management, etc.; correspondingly, the terminal device receives the AI operation indication information sent by the network device.

[0041] In an implementation manner, the terminal device receiving the AI operation indication information from the network device specifically includes:

[0042] The terminal device receives a first signaling from the network device, and the first signaling is obtained by the network device adding the AI operation indication information to the terminal information request signaling;

[0043] The terminal device obtains the AI operation indication information from the first signaling.

[0044] Specifically, the UE Information Procedure in 3GPP 38.331TS is as Figure 3As shown, between a network device Network and a terminal device UE, a UE Information Request signaling and a UE Information Response signaling can be sent.

[0045] In this embodiment, AI operation indication information can be included in the UE Information Request, and the content requested to be reported can be the AI operation feasibility information of the terminal device, that is, the UE is requested to report relevant information on whether it is currently suitable for performing AI operations. The first signaling after adding the AI operation indication information is still the same in form as the UE Information Request, that is Figure 3 It can also be understood as a possible implementation manner of this application.

[0046] In an embodiment, after the terminal device receives the AI operation indication information sent by the network device, the method further includes:

[0047] The terminal device feeds back to the network device according to the AI operation indication information, so that the network device can judge whether the terminal device is suitable for performing AI operations according to the feedback.

[0048] In an embodiment, the network device adjusts the AI operation control strategy of the terminal device according to whether the terminal device is suitable for performing AI operations.

[0049] Specifically, during the process of the terminal device performing AI operations, changes in factors such as the state or the scene where the terminal device is located may cause the terminal device to be unsuitable for performing AI operations. If the network device cannot obtain the AI operation-related information of the terminal device, it cannot adjust the AI operation control strategy in a timely manner, so problems such as AI operation failure or deterioration of the terminal device performance may occur.

[0050] In an interactive implementation example, the network device first sends AI operation indication information to the terminal device, and the terminal device feeds back information to the network device after receiving the AI operation indication information (including two methods: feedback and non-feedback), so that the network device can timely judge whether the terminal device is suitable for performing AI operations, and can adjust the AI operation control strategy in a timely manner accordingly to avoid situations such as AI operation failure or deterioration of the terminal device performance.

[0051] In an embodiment, the terminal device feeds back to the network device according to the AI operation indication information, so that the network device can judge whether the terminal device is currently suitable for performing AI operations according to the feedback. Specifically, it includes:

[0052] The terminal device sends AI operation feasibility information to the network device according to the AI operation instruction information, so that the network device determines whether the terminal device is suitable for performing the AI operation according to the AI operation feasibility information.

[0053] In an embodiment, after the terminal device receives the AI operation instruction information sent by the network device, the method further includes:

[0054] The terminal device does not send the AI operation feasibility information to the network device according to the AI operation instruction information, so that the network device determines whether the terminal device is currently suitable or not suitable for performing the AI operation in response to not receiving the AI operation feasibility information from the terminal device.

[0055] In an embodiment, the network device determines whether the terminal device is suitable for performing the AI operation according to the feedback of the terminal device on the AI operation instruction information. Specifically, it includes:

[0056] The network device receives the AI operation feasibility information from the terminal device and determines whether the terminal device is currently suitable for performing the AI operation according to the AI operation feasibility information;

[0057] Wherein, the AI operation feasibility information is sent by the terminal device to the network device according to the AI operation instruction information.

[0058] In an embodiment, after the network device sends the AI operation instruction information to the terminal device, the method further includes:

[0059] The network device determines whether the terminal device is currently suitable or not suitable for performing the AI operation in response to not receiving the AI operation feasibility information from the terminal device.

[0060] In this embodiment, the network device mainly requests the AI operation feasibility information from the terminal device. The terminal device sends the AI operation feasibility information to the network device according to the AI operation instruction information sent by the network device, which is used to assist the network device in determining whether the state or scenario of the terminal when performing the AI operation is suitable for continuing to perform the AI operation; in addition, in the case where the terminal device does not give feedback, it can also be determined whether the terminal is suitable for performing the AI operation, that is, it includes:

[0061] In Figure 2 In a specific example as shown, after the terminal device receives the AI operation instruction information sent by the network device (specifically, it can be Indication for report information of AI operations sent independently as shown in Figure 4 or it can be as shown in Figure 3After the information contained in the UE Information Request signaling shown), the terminal device does not send information to the network device;

[0062] In a specific example as Figure 5 shown, after the terminal device receives the AI operation indication information sent by the network device (specifically, it can be the Indication for report information of AI operations sent independently as Figure 6 shown, or the information contained in the UE Information Request signaling as Figure 3 shown), the terminal device sends information to the network device (specifically, it can be the AI operations feasibility information sent independently as Figure 6 shown, or the information contained in the UE Information Response signaling as Figure 3 shown).

[0063] In one embodiment, the AI operation indication information specifically includes at least one of the following:

[0064] Instruct the terminal device to verify whether the terminal device is currently suitable for performing AI operations and report the verification result;

[0065] Instruct the terminal device to report the terminal status information of the terminal device, and the terminal status information is used by the network device to evaluate whether the terminal device is currently suitable for performing AI operations;

[0066] Instruct the terminal device to report the AI application conditions of the terminal device, and the AI application conditions are used by the network device to evaluate whether the terminal device is currently suitable for performing AI operations.

[0067] In one embodiment, the terminal device sends AI operation feasibility information to the network device according to the AI operation indication information, so that the network device determines whether the terminal device is suitable for performing AI operations according to the AI operation feasibility information, specifically including at least one of the following:

[0068] The terminal device verifies whether the terminal device is currently suitable for performing AI operations according to the AI operation indication information to obtain a verification result, generates AI operation feasibility information including the verification result, and sends the AI operation feasibility information to the network device, so that the network device obtains the verification result to determine whether the terminal device is currently suitable for performing AI operations;

[0069] The terminal device obtains the terminal state information of the terminal device according to the AI operation instruction information, generates AI operation feasibility information including the terminal state information, and sends the AI operation feasibility information to the network device, so that the network device can evaluate whether the terminal device is currently suitable for executing the AI operation according to the terminal state information;

[0070] The terminal device obtains the AI application conditions of the terminal device according to the AI operation instruction information, generates AI operation feasibility information including the AI application conditions, and sends the AI operation feasibility information to the network device, so that the network device can evaluate whether the terminal device is currently suitable for executing the AI operation according to the AI application conditions.

[0071] Specifically, a scenario where problems may occur is that when the terminal device executes an AI model training task with insufficient power, it will accelerate the terminal device to enter the shutdown state, and the training task will also terminate accordingly. This not only reduces the air interface interaction efficiency but also affects the artificial intelligence communication effect. In addition, in some scenarios, the terminal device no longer meets the conditions for executing the AI application, such as reaching the signal-to-interference-plus-noise ratio (SINR) threshold or an event that satisfies cell handover occurs.

[0072] In this embodiment, the AI operation instruction information is mainly used to assist the network device in determining whether the state or scenario of the terminal when performing the AI operation is suitable for continuing to execute the AI operation. The specific content thereof may be to request the UE to verify whether it is currently suitable for executing the AI operation, or to request the terminal to report the terminal state information, or to request the terminal to report the AI application conditions; if the reported specific content is the verification result, the network device can directly obtain whether the terminal device is suitable for executing the AI operation according to the result. If it is the terminal state information or the AI application conditions, the network device needs to evaluate whether the terminal device is suitable for executing the AI operation; it can be understood that the above three information contents can be reported simultaneously, and the terminal device can also be evaluated by comprehensively considering the terminal state information and the AI application conditions during the evaluation.

[0073] In one embodiment, the terminal device verifies whether the terminal device is currently suitable for executing the AI operation according to the AI operation instruction information to obtain a verification result, which specifically includes:

[0074] The terminal device obtains the terminal status information and / or AI application conditions of the terminal according to the AI operation instruction information, and verifies whether the terminal device is currently suitable for performing AI operations according to the terminal status information and / or the AI application conditions, so as to obtain a verification result including that the terminal device is currently suitable for performing AI operations or the terminal device is currently not suitable for performing AI operations.

[0075] In one embodiment, the terminal device obtains the terminal status information and / or AI application conditions of the terminal according to the AI operation instruction information, specifically including:

[0076] The terminal device obtains the current available remaining power value E and / or the current remaining power percentage r of the terminal as the terminal status information according to the AI operation instruction information, where the E is obtained by measuring with a fuel gauge chip or by collecting the current battery voltage and current of the terminal and then looking up a table for calculation, and the r is calculated according to the total power of the terminal device and the E; and / or,

[0077] The terminal device obtains the signal-to-noise ratio threshold and / or the event that satisfies cell handover of the terminal according to the AI operation instruction information, and uses the signal-to-noise ratio threshold or the event that satisfies cell handover as the AI application condition.

[0078] In one embodiment, verifying whether the terminal device is currently suitable for performing AI operations according to the terminal status information specifically includes:

[0079] The terminal device obtains a verification result that the terminal device is currently suitable for performing AI operations in response to determining that the r is greater than or equal to a preset threshold; or,

[0080] The terminal device obtains a verification result that the terminal device is currently not suitable for performing AI operations in response to determining that the r is less than the preset threshold.

[0081] A more specific example is that the AI operation instruction information requests the UE to verify whether it is currently suitable for performing AI operations, and specifically, it can be to request the UE to verify whether the terminal status information or the terminal AI application conditions are suitable for performing AI operations; among them, the terminal status information may include, but is not limited to, the current terminal power, the available current remaining power value E of the terminal, and the current remaining percentage r of the terminal power, etc., to represent the current terminal power; the remaining terminal power can be calculated by the fuel gauge chip to obtain the battery power E, or by collecting the battery voltage and current and calculating a battery power value E through look-up tables; and by obtaining the total power set at the factory of the terminal device, the current remaining percentage r of the terminal is calculated; among them, the AI application condition information may include, but is not limited to, the signal-to-noise ratio threshold or the event that satisfies cell handover; after receiving the request for verifying the terminal status information sent by the network device, the UE evaluates whether the terminal device is suitable for the AI-based communication method. Specifically, for example, when the remaining percentage r of the terminal power < 10%, the terminal device feedbacks that it is not suitable for the AI-based communication method; when the remaining percentage r of the terminal power >= 10%, the terminal device feedbacks that it can perform AI operations. In one embodiment, the network device receives the AI operation feasibility information from the terminal device, specifically including:

[0082] The network device receives a second signaling from the terminal device, and the second signaling is obtained by the terminal device adding the AI operation feasibility information to the terminal information feedback signaling;

[0083] The network device obtains the AI operation feasibility information from the second signaling.

[0084] In this embodiment, as Figure 3 shown, the AI operation feasibility information can be included in the UEInformationResponse, and the second signaling after adding the AI operation feasibility information is still the same in form as the UEInformationResponse.

[0085] In one embodiment, the AI operation feasibility information specifically includes at least one of the following:

[0086] The verification result of verifying whether the terminal device is currently suitable for performing AI operations, the terminal status information of the terminal device, and the AI application conditions of the terminal device;

[0087] Judging whether the terminal device is suitable for performing AI operations according to the AI operation feasibility information specifically includes:

[0088] The network device obtains the verification result to determine whether the terminal device is currently suitable for performing AI operations, the network device evaluates whether the terminal device is currently suitable for performing AI operations according to the terminal status information, and / or the network device evaluates whether the terminal device is currently suitable for performing AI operations according to the AI application conditions.

[0089] In an embodiment, after the terminal device receives the AI operation instruction information sent by the network device, the method further includes:

[0090] The terminal device receives an AI deactivation instruction from the network device and stops the first AI operation according to the AI deactivation instruction, where the AI deactivation instruction is sent by the network device in response to determining that the terminal device is currently not suitable for performing the first AI operation; or,

[0091] The terminal device receives an AI task configuration instruction from the network device and performs a second AI operation according to the AI task configuration instruction, where the AI task configuration instruction is sent by the network device in response to determining that the terminal device is suitable for performing the second AI operation. In an interactive implementation example, the AI operation feasibility information sent by the terminal device to the network device depends on the information content of the AI operation instruction information. If the instruction information is to request the UE to verify whether it is currently suitable for performing AI operations, the feedback information content can be, but is not limited to, suitable for performing AI operations or not suitable for performing AI operations; if the instruction information is to request the terminal to report the terminal status information, the feedback information content includes, but is not limited to, the current terminal power, the available remaining power value E, and the power remaining percentage r, etc., indicating the current terminal power; if the instruction information is to request the terminal to report the AI application conditions, the feedback information content specifically includes, but is not limited to, the signal-to-noise ratio threshold or an event that satisfies cell handover; if the feedback information content is the first type, the network device can directly obtain the result of whether the terminal device is suitable for performing AI operations. If the feedback information content is the latter two types, the network device can evaluate whether the terminal device is suitable for performing AI operations according to the feedback content. The network device adjusts the AI operation control strategy of the terminal device according to whether the terminal device is suitable for performing AI operations, which can be made after the network device determines whether the terminal device is currently suitable for performing AI operations based on feedback or no feedback. If it is suitable for performing AI operations, an AI operation task can be issued, otherwise, it may be necessary to terminate the currently executing AI operation task. The specific method for determining whether the terminal device is currently suitable for performing AI operations and the specific formulation of the AI operation control strategy of the terminal device can be designed according to the actual situation and are not limited herein.

[0092] Embodiment 2:

[0093] As Figure 7As shown, the present disclosure provides an artificial intelligence (AI) communication method, which includes:

[0094] S21. The network device sends AI operation indication information to the terminal device, where the AI operation indication information is used to request the terminal device to determine whether it is currently suitable for performing an AI operation.

[0095] In one embodiment, the network device sending the AI operation indication information to the terminal device specifically includes:

[0096] The network device adds the AI operation indication information to the terminal information request signaling to obtain a first signaling;

[0097] The network device sends the first signaling to the terminal device.

[0098] In one embodiment, the AI operation indication information specifically includes at least one of the following:

[0099] Instruct the terminal device to verify whether the terminal device is currently suitable for performing an AI operation and report the verification result;

[0100] Instruct the terminal device to report the terminal status information of the terminal device, where the terminal status information is used by the network device to evaluate whether the terminal device is currently suitable for performing an AI operation;

[0101] Instruct the terminal device to report the AI application conditions of the terminal device, where the AI application conditions are used by the network device to evaluate whether the terminal device is currently suitable for performing an AI operation.

[0102] In one embodiment, after the network device sends the AI operation indication information to the terminal device, the method further includes:

[0103] The network device determines whether the terminal device is currently suitable for performing an AI operation according to the feedback of the terminal device on the AI operation indication information.

[0104] In one embodiment, the network device determining whether the terminal device is suitable for performing an AI operation according to the feedback of the terminal device on the AI operation indication information specifically includes:

[0105] The network device receives AI operation feasibility information from the terminal device and determines whether the terminal device is currently suitable for performing an AI operation according to the AI operation feasibility information;

[0106] where the AI operation feasibility information is sent by the terminal device to the network device according to the AI operation indication information.

[0107] In an embodiment, after the network device sends AI operation indication information to the terminal device, the method further includes:

[0108] In response to not receiving AI operation feasibility information from the terminal device, the network device determines whether the terminal device is currently suitable or not suitable for performing an AI operation.

[0109] In an embodiment, the network device receiving AI operation feasibility information from the terminal device specifically includes:

[0110] The network device receives a second signaling from the terminal device, and the second signaling is obtained by the terminal device adding the AI operation feasibility information to the terminal information feedback signaling;

[0111] The network device obtains the AI operation feasibility information from the second signaling.

[0112] In an embodiment, the AI operation feasibility information specifically includes at least one of the following:

[0113] The verification result of verifying whether the terminal device is currently suitable for performing an AI operation, the terminal status information of the terminal device, and the AI application conditions of the terminal device;

[0114] Determining whether the terminal device is suitable for performing an AI operation according to the AI operation feasibility information specifically includes:

[0115] The network device obtains the verification result to determine whether the terminal device is currently suitable for performing an AI operation, the network device evaluates whether the terminal device is currently suitable for performing an AI operation according to the terminal status information, and / or the network device evaluates whether the terminal device is currently suitable for performing an AI operation according to the AI application conditions.

[0116] Embodiment 3:

[0117] As Figure 8 shown, the present disclosure provides a terminal device, including:

[0118] A first receiving module 11, configured to receive artificial intelligence (AI) operation indication information sent by a network device, where the AI operation indication information is used to request the terminal device to determine whether it is currently suitable for performing an AI operation.

[0119] In an embodiment, the first receiving module 11 specifically includes:

[0120] A first receiving unit, configured to receive a first signaling from the network device, where the first signaling is obtained by the network device adding the AI operation indication information to the terminal information request signaling;

[0121] A first acquisition unit, connected to the first receiving unit, for acquiring the AI operation instruction information from the first signaling.

[0122] In an embodiment, the terminal device further includes a feedback module, connected to the first receiving module 11, for feeding back or not feeding back to the network device according to the AI operation instruction information, so that the network device determines whether the terminal device is currently suitable for performing AI operations based on the feedback or non-feedback.

[0123] In an embodiment, the feedback module specifically includes:

[0124] A feedback unit, for sending AI operation feasibility information to the network device according to the AI operation instruction information, so that the network device determines whether the terminal device is currently suitable for performing AI operations based on the AI operation feasibility information.

[0125] In an embodiment, the feedback module specifically further includes:

[0126] A non-feedback unit, for not sending AI operation feasibility information to the network device according to the AI operation instruction information, so that the network device determines that the terminal device is currently not suitable for performing AI operations in response to not receiving the AI operation feasibility information from the terminal device.

[0127] In an embodiment, the feedback unit specifically includes at least one of the following:

[0128] A verification information sending unit, for verifying whether the terminal device is currently suitable for performing AI operations according to the AI operation instruction information to obtain a verification result, generating AI operation feasibility information including the verification result, and sending the AI operation feasibility information to the network device, so that the network device obtains the verification result to determine whether the terminal device is currently suitable for performing AI operations;

[0129] A status information sending unit, for acquiring the terminal status information of the terminal device according to the AI operation instruction information, generating AI operation feasibility information including the terminal status information, and sending the AI operation feasibility information to the network device, so that the network device evaluates whether the terminal device is currently suitable for performing AI operations based on the terminal status information;

[0130] An AI application condition sending unit, for acquiring the AI application conditions of the terminal device according to the AI operation instruction information, generating AI operation feasibility information including the AI application conditions, and sending the AI operation feasibility information to the network device, so that the network device evaluates whether the terminal device is currently suitable for performing AI operations based on the AI application conditions.

[0131] In one embodiment, the verification information sending unit specifically includes:

[0132] A first information acquisition unit, configured to acquire the terminal status information and / or AI application conditions of the terminal according to the AI operation instruction information;

[0133] A first information verification unit, connected to the first information acquisition unit, and configured to verify whether the terminal device is currently suitable for performing an AI operation according to the terminal status information and / or the AI application conditions;

[0134] A verification result acquisition unit, connected to the first information verification unit, and configured to obtain a verification result including that the terminal device is currently suitable for performing an AI operation or the terminal device is currently not suitable for performing an AI operation.

[0135] It can be understood that the first information acquisition unit can also be applied to the status information sending unit and the AI application condition sending unit to acquire the corresponding terminal status information and AI application conditions.

[0136] In one embodiment, the first information acquisition unit is specifically configured to:

[0137] Acquire the current available remaining power value E and / or the current power remaining percentage r of the terminal as the terminal status information according to the AI operation instruction information, where E is measured by a fuel gauge chip or obtained by looking up a table after collecting the current battery voltage and current of the terminal, and r is calculated according to the total power of the terminal device and E; and / or,

[0138] Acquire the signal-to-noise ratio threshold and / or the event satisfying cell handover of the terminal according to the AI operation instruction information, and use the signal-to-noise ratio threshold or the event satisfying cell handover as the AI application condition.

[0139] In one embodiment, the verification result acquisition unit is specifically configured to:

[0140] In response to determining that r is greater than or equal to a preset threshold, obtain a verification result that the terminal device is currently suitable for performing an AI operation; or,

[0141] In response to determining that r is less than the preset threshold, obtain a verification result that the terminal device is currently not suitable for performing an AI operation.

[0142] In one embodiment, the feedback unit specifically includes:

[0143] A second signaling generation unit, configured to add the AI operation feasibility information to the terminal information feedback signaling to obtain a second signaling;

[0144] A second signaling sending unit, connected to the second signaling generating unit, for sending the second signaling to a network device.

[0145] Embodiment 4:

[0146] As Figure 9 shown, the present disclosure provides a network device, including:

[0147] A first sending module 21, for sending artificial intelligence (AI) operation instruction information to a terminal device, wherein the AI operation instruction information is used to request the terminal device to determine whether it is currently suitable for performing an AI operation.

[0148] In an embodiment, the first sending module 21 specifically includes:

[0149] A first signaling generating unit, for adding the AI operation instruction information to a terminal information request signaling to obtain a first signaling;

[0150] A first signaling sending unit, connected to the first signaling generating unit, for sending the first signaling to the terminal device.

[0151] In an embodiment, the AI operation instruction information specifically includes at least one of the following:

[0152] Instructing the terminal device to verify whether the terminal device is currently suitable for performing an AI operation and report a verification result;

[0153] Instructing the terminal device to report the terminal status information of the terminal device, where the terminal status information is used by the network device to evaluate whether the terminal device is currently suitable for performing an AI operation;

[0154] Instructing the terminal device to report the AI application conditions of the terminal device, where the AI application conditions are used by the network device to evaluate whether the terminal device is currently suitable for performing an AI operation.

[0155] In an embodiment, the network device further includes a judgment module, connected to the first sending unit 21, for judging whether the terminal device is currently suitable for performing an AI operation according to the feedback of the terminal device on the AI operation instruction information.

[0156] In an embodiment, the judgment module specifically includes:

[0157] A second receiving module, for receiving AI operation feasibility information from the terminal device;

[0158] A second judgment unit, connected to the second receiving unit, for judging whether the terminal device is currently suitable for performing an AI operation according to the AI operation feasibility information;

[0159] Among them, the AI operation feasibility information is sent by the terminal device to the network device according to the AI operation instruction information.

[0160] In an embodiment, the determination module specifically further includes:

[0161] The first determination unit, connected to the second receiving unit, is configured to determine whether the terminal device is currently suitable or not suitable for performing an AI operation in response to not receiving the AI operation feasibility information from the terminal device.

[0162] In an embodiment, the second receiving module specifically includes:

[0163] The second receiving unit is configured to receive a second signaling from the terminal device, where the second signaling is obtained by the terminal device adding the AI operation feasibility information to the terminal information feedback signaling;

[0164] The second obtaining unit, connected to the second receiving unit, is configured to obtain the AI operation feasibility information from the second signaling.

[0165] In an embodiment, the AI operation feasibility information specifically includes at least one of the following:

[0166] The verification result for verifying whether the terminal device is currently suitable for performing an AI operation, the terminal status information of the terminal device, and the AI application conditions of the terminal device;

[0167] The second determination unit is specifically configured to:

[0168] The network device obtains the verification result to determine whether the terminal device is currently suitable for performing an AI operation, the network device evaluates whether the terminal device is currently suitable for performing an AI operation according to the terminal status information, and / or the network device evaluates whether the terminal device is currently suitable for performing an AI operation according to the AI application conditions.

[0169] Example 5:

[0170] Embodiment 5 of the present disclosure provides a computer-readable storage medium, in which a computer program is stored. When the computer program is run by a processor, it implements the artificial intelligence AI communication method as described in Embodiment 1 or 2, or implements the device as described in Embodiment 3 or 4.

[0171] The computer-readable storage medium includes volatile or non-volatile, removable or non-removable media implemented in any method or technology for storing information such as computer-readable instructions, data structures, computer program modules, or other data. The computer-readable storage medium includes, but is not limited to, RAM (Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read Only Memory), flash memory, or other memory technologies, CD-ROM (Compact Disc Read-Only Memory), digital versatile discs (DVDs), or other optical disc storage, magnetic cassettes, magnetic tapes, magnetic disk storage, or any other medium that can be used to store the desired information and can be accessed by a computer.

[0172] In addition, the present disclosure may further provide a computer device including a memory and a processor. A computer program is stored in the memory. When the processor runs the computer program stored in the memory, the processor executes the artificial intelligence AI communication method described in Embodiment 1 or 2. The computer device may be the device described in Embodiment 3 or 4.

[0173] Among them, the memory is connected to the processor. The memory may adopt flash memory, read-only memory, or other memories. The processor may adopt a central processing unit or a single-chip microcomputer.

[0174] Embodiments 1-5 of the present disclosure provide an artificial intelligence AI communication method, a terminal device, a network device, and a computer-readable storage medium. The AI operation instruction information received by the terminal device improves the information matching degree of artificial intelligence communication between the network device and the terminal device, thereby ensuring the artificial intelligence communication effect.

[0175] It can be understood that the above embodiments are merely exemplary embodiments adopted to illustrate the principle of the present disclosure. However, the present disclosure is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and essence of the present disclosure, and these modifications and improvements are also regarded as the protection scope of the present disclosure.

Claims

1. An artificial intelligence (AI) communication method, characterized in that, The method includes: The terminal device receives AI operation instruction information sent by the network device, where the AI operation instruction information is used to request the terminal device to determine whether it is currently suitable for performing an AI operation.

2. The method according to claim 1, characterized in that After the terminal device receives the AI operation instruction information sent by the network device, the method further includes: The terminal device feeds back to the network device according to the AI operation instruction information, so that the network device determines whether the terminal device is currently suitable for performing an AI operation according to the feedback.

3. The method according to claim 2, characterized in that, The terminal device feeds back to the network device according to the AI operation instruction information, so that the network device determines whether the terminal device is currently suitable for performing an AI operation according to the feedback, which specifically includes: The terminal device sends AI operation feasibility information to the network device according to the AI operation instruction information, so that the network device determines whether the terminal device is suitable for performing an AI operation according to the AI operation feasibility information.

4. The method according to claim 3, wherein The terminal device sends AI operation feasibility information to the network device according to the AI operation instruction information, so that the network device determines whether the terminal device is suitable for performing an AI operation according to the AI operation feasibility information, which specifically includes at least one of the following: The terminal device verifies whether the terminal device is currently suitable for performing an AI operation according to the AI operation instruction information to obtain a verification result, generates AI operation feasibility information including the verification result, and sends the AI operation feasibility information to the network device, so that the network device obtains the verification result to determine whether the terminal device is currently suitable for performing an AI operation; The terminal device obtains the terminal status information of the terminal device according to the AI operation instruction information, generates AI operation feasibility information including the terminal status information, and sends the AI operation feasibility information to the network device, so that the network device evaluates whether the terminal device is currently suitable for performing an AI operation according to the terminal status information; The terminal device obtains the AI application conditions of the terminal device according to the AI operation instruction information, generates AI operation feasibility information including the AI application conditions, and sends the AI operation feasibility information to the network device, so that the network device evaluates whether the terminal device is currently suitable for performing an AI operation according to the AI application conditions.

5. The method according to claim 4, wherein The terminal device verifies whether the terminal device is currently suitable for performing an AI operation according to the AI operation instruction information to obtain a verification result, which specifically includes: The terminal device obtains the terminal status information and / or AI application conditions of the terminal according to the AI operation instruction information, and verifies whether the terminal device is currently suitable for performing an AI operation according to the terminal status information and / or the AI application conditions, so as to obtain a verification result including that the terminal device is currently suitable for performing an AI operation or the terminal device is currently not suitable for performing an AI operation.

6. The method according to claim 4 or 5, characterized in that, The terminal device obtains the terminal status information and / or AI application conditions of the terminal according to the AI operation instruction information, which specifically includes: The terminal device obtains the current available remaining power value E and / or the current remaining power percentage r of the terminal as the terminal status information according to the AI operation instruction information, where E is obtained by measuring with a fuel gauge chip or by collecting the current battery voltage and current of the terminal and then looking up a table for calculation, and r is calculated based on the total power of the terminal device and E; and / or, The terminal device obtains the signal-to-noise ratio threshold and / or the event that satisfies cell handover according to the AI operation instruction information, and uses the signal-to-noise ratio threshold or the event that satisfies cell handover as the AI application condition.

7. The method according to claim 4, characterized in that, The terminal device receives AI operation instruction information from the network device, specifically including: The terminal device receives a first signaling from the network device, and the first signaling is obtained by the network device adding the AI operation instruction information to the terminal information request signaling; The terminal device obtains the AI operation instruction information from the first signaling; Sending the AI operation feasibility information to the network device, specifically including: The terminal device adds the AI operation feasibility information to the terminal information feedback signaling to obtain a second signaling; The terminal device sends the second signaling to the network device.

8. The method according to claim 2, wherein After the terminal device receives the AI operation instruction information sent by the network device, the method further includes: The terminal device does not send the AI operation feasibility information to the network device according to the AI operation instruction information, so that the network device determines whether the terminal device is currently suitable or not suitable for performing AI operations in response to not receiving the AI operation feasibility information from the terminal device.

9. An artificial intelligence (AI) communication method, characterized in that, The method includes: The network device sends AI operation instruction information to the terminal device, where the AI operation instruction information is used to request the terminal device to determine whether it is currently suitable for performing AI operations.

10. The method according to claim 9, wherein The AI operation instruction information specifically includes at least one of the following: Instruct the terminal device to verify whether the terminal device is currently suitable for performing AI operations and report the verification result; Instruct the terminal device to report the terminal status information of the terminal device, and the terminal status information is used by the network device to evaluate whether the terminal device is currently suitable for performing AI operations; Instruct the terminal device to report the AI application conditions of the terminal device, and the AI application conditions are used by the network device to evaluate whether the terminal device is currently suitable for performing AI operations.

11. The method according to any one of claims 9 - 10, characterized in that, After the network device sends the AI operation instruction information to the terminal device, the method further includes: The network device determines whether the terminal device is currently suitable for performing AI operations according to the feedback of the terminal device on the AI operation instruction information.

12. The method according to claim 11, wherein The network device determines whether the terminal device is suitable for performing AI operations according to the feedback of the terminal device on the AI operation instruction information, specifically including: The network device receives the AI operation feasibility information from the terminal device and determines whether the terminal device is currently suitable for performing AI operations according to the AI operation feasibility information; Wherein, the AI operation feasibility information is sent by the terminal device to the network device according to the AI operation instruction information.

13. The method according to claim 12, wherein The network device sends AI operation indication information to the terminal device, specifically including: The network device adds the AI operation indication information to the terminal information request signaling to obtain a first signaling; The network device sends the first signaling to the terminal device; The network device receives AI operation feasibility information from the terminal device, specifically including: The network device receives a second signaling from the terminal device, and the second signaling is obtained by the terminal device adding the AI operation feasibility information to the terminal information feedback signaling; The network device obtains the AI operation feasibility information from the second signaling.

14. The method according to claim 12, wherein The AI operation feasibility information specifically includes at least one of the following: A verification result for verifying whether the terminal device is currently suitable for performing an AI operation, terminal status information of the terminal device, and AI application conditions of the terminal device; Judging whether the terminal device is suitable for performing an AI operation according to the AI operation feasibility information specifically includes: The network device obtains the verification result to determine whether the terminal device is currently suitable for performing an AI operation, the network device evaluates whether the terminal device is currently suitable for performing an AI operation according to the terminal status information, and / or the network device evaluates whether the terminal device is currently suitable for performing an AI operation according to the AI application conditions.

15. The method according to any one of claims 9-10, characterized in that, After the network device sends the AI operation indication information to the terminal device, the method further includes: The network device judges whether the terminal device is currently suitable or not suitable for performing an AI operation in response to not receiving the AI operation feasibility information from the terminal device.

16. A terminal device, characterized in that, Including: A first receiving module, configured to receive AI operation indication information sent by a network device, where the AI operation indication information is used to request the terminal device to judge whether it is currently suitable for performing an AI operation.

17. A network device, characterized in that, Including: A first sending module, configured to send AI operation indication information to the terminal device, where the AI operation indication information is used to request the terminal device to judge whether it is currently suitable for performing an AI operation.

18. A computer-readable storage medium, characterized in that, A computer program is stored in the computer-readable storage medium, and when the computer program is run by a processor, the AI communication method according to any one of claims 1-8 or 9-15 is implemented.

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