Air interface processing method and device, and storage medium

Abstract

The present disclosure provides an air interface processing method and device, and a storage medium, wherein the air interface processing method comprises: in response to determining that the terminal selects an artificial intelligence (AI) mode for air interface processing, reporting a notification message to a base station; wherein the notification message is used to notify the base station that the terminal selects the AI mode for air interface processing. The present disclosure can integrate AI and a communication network, improve air interface processing efficiency and communication quality by using AI processing capability on the terminal side, and in the case that air interface processing based on the AI mode cannot meet air interface processing requirements, control the terminal to fall back to a non-AI mode for air interface processing, thereby improving the flexibility of air interface processing mode switching.

Description

Technical Field

[0001] This disclosure relates to the field of communications, and in particular to air interface processing methods and apparatus, and storage media. Background Technology

[0002] With the development of wireless communication and computer technologies, the application of artificial intelligence (AI) in smart terminals is becoming increasingly important. AI applications can enhance the user experience in many areas of smart terminals, such as photography, voice control, and security. With the maturity and commercialization of 5G (5th generation mobile networks), the high speed, high reliability, and low latency of 5G networks enable terminal-side AI to intelligently collaborate with cloud-side AI to achieve more functions and bring a better user experience. Specifically, this will manifest in:

[0003] On-device AI can quickly respond to user needs and rapidly display processed images, videos, voice, and text information to users in a low-power and low-cost manner, making it suitable for completing AI inference tasks.

[0004] Cloud-based AI is used to aggregate data from multiple terminals, offering advantages in data throughput and processing speed, making it suitable for AI model training tasks. Therefore, the edge-cloud collaborative AI processing model will play a crucial role in model training and data inference.

[0005] After the user's command is initially processed by the edge smart chip, it interacts with the cloud-side device in real time via the 5G network. Then, the cloud processing result is fed back to the user via the 5G network, which can improve data processing capabilities and effectively reduce latency.

[0006] Currently, terminal-side AI is still in its early stages of development. With the advent of the 5G era, the application of AI in smart terminals will achieve more seamless cloud-edge collaboration, more natural interaction methods, and more effective interconnection and collaboration between smart terminals.

[0007] However, as the processing power of terminals becomes more and more powerful, terminals with AI capabilities can process more and more data and make rapid feedback and decisions. However, base stations cannot determine the AI ​​capabilities of terminals and therefore cannot utilize the AI ​​capabilities of terminals. Summary of the Invention

[0008] To overcome the problems existing in related technologies, this disclosure provides an air interface processing method and apparatus, and a storage medium.

[0009] According to a first aspect of the present disclosure, an air interface processing method is provided, the method being executed by a terminal, comprising:

[0010] In response to determining that the terminal selects to perform air interface processing based on artificial intelligence (AI), a notification message is reported to the base station; wherein, the notification message is used to notify the base station that the terminal selects to perform air interface processing based on AI.

[0011] Optionally, the notification message reported to the base station includes any one of the following:

[0012] The notification message is reported to the base station via the first Radio Resource Control (RRC) signaling.

[0013] The notification message is reported to the base station via the first media access control unit (MAC CE).

[0014] Optionally, the method further includes:

[0015] The system receives a rollback configuration instruction sent by the base station when it determines that the terminal meets the rollback conditions; wherein the rollback conditions are used to indicate the conditions under which the terminal performs air interface processing mode rollback, and the rollback configuration instruction is used to instruct the terminal to perform air interface processing mode rollback;

[0016] Based on the aforementioned rollback configuration command, the system rolls back to a non-AI mode for air interface processing.

[0017] Optionally, receiving the rollback configuration instruction sent by the base station when it determines that the terminal meets the rollback conditions includes any one of the following:

[0018] When the base station determines that the terminal meets the fallback conditions, it receives the fallback configuration instruction sent by the base station via the second RRC signaling;

[0019] The base station receives the fallback configuration command sent by the second MAC CE when it determines that the terminal meets the fallback conditions.

[0020] Optionally, the method further includes:

[0021] The terminal receives configuration information sent by the base station for configuring fallback conditions; wherein the fallback conditions are used to indicate the conditions for the terminal to perform air interface processing mode fallback.

[0022] In response to determining that air interface processing based on AI is required and the fallback conditions are met, fall back to non-AI air interface processing; and / or

[0023] In response to determining that air interface processing based on AI is required and the fallback condition is not met, air interface processing is performed based on the AI ​​method.

[0024] Optionally, receiving the configuration information sent by the base station for configuring backoff conditions includes any one of the following:

[0025] Receive the configuration information sent by the base station via a third RRC signaling;

[0026] Receive the configuration information sent by the base station through the third MAC CE.

[0027] Optionally, the fallback conditions corresponding to different air interface processing behaviors performed by the terminal based on AI are different.

[0028] Optionally, the rollback condition is at least one of the following:

[0029] The performance parameter value used to characterize the terminal's execution of the different air interface processing behaviors based on AI is less than a preset threshold value;

[0030] The duration for which the performance parameter value is less than the preset threshold value reaches the preset duration.

[0031] Optionally, the preset threshold values ​​corresponding to the different air interface processing behaviors performed by the terminal based on AI are different.

[0032] Optionally, the terminal performs different performance parameters for the different air interface processing behaviors based on AI.

[0033] Optionally, the performance parameter is any one of the following:

[0034] Accuracy parameters;

[0035] Bit error rate parameter.

[0036] Optionally, the air interface processing includes at least one of the following:

[0037] Channel State Information (CSI) feedback;

[0038] Beam management.

[0039] According to a second aspect of the present disclosure, an air interface processing method is provided, the method being executed by a base station, comprising:

[0040] The system receives a notification message reported by the terminal; wherein the notification message is used to notify the base station that the terminal selects an air interface processing method based on artificial intelligence (AI).

[0041] Optionally, the notification message reported by the receiving terminal includes any one of the following:

[0042] Receive the notification message reported by the terminal to the base station via the first Radio Resource Control (RRC) signaling;

[0043] The terminal receives the notification message reported to the base station via the first media access control unit (MAC CE).

[0044] Optionally, the method further includes:

[0045] In response to determining that the terminal meets the rollback conditions, a rollback configuration instruction is sent to the terminal; wherein, the rollback conditions are used to indicate the conditions for the terminal to perform air interface processing mode rollback, and the rollback configuration instruction is used to instruct the terminal to perform air interface processing mode rollback.

[0046] Optionally, sending the rollback configuration instruction to the terminal includes any one of the following:

[0047] The fallback configuration command is sent to the terminal via a second RRC signaling;

[0048] The rollback configuration command is sent to the terminal via the second MAC CE.

[0049] Optionally, the method further includes:

[0050] Configuration information for configuring rollback conditions is sent to the terminal; wherein the rollback conditions are used to instruct the terminal to perform air interface processing mode rollback.

[0051] Optionally, sending configuration information to the terminal for configuring rollback conditions includes any one of the following:

[0052] The configuration information is sent to the terminal via a third RRC signaling;

[0053] The configuration information is sent to the terminal via a third MAC CE.

[0054] Optionally, the fallback conditions corresponding to different air interface processing behaviors performed by the terminal based on AI are different.

[0055] Optionally, the rollback condition is at least one of the following:

[0056] The performance parameter value used to characterize the terminal's execution of the different air interface processing behaviors based on AI is less than a preset threshold value;

[0057] The duration for which the performance parameter value is less than the preset threshold value reaches the preset duration.

[0058] Optionally, the preset threshold values ​​corresponding to the different air interface processing behaviors performed by the terminal based on AI are different.

[0059] Optionally, the terminal performs different performance parameters for the different air interface processing behaviors based on AI.

[0060] Optionally, the performance parameter is any one of the following:

[0061] Accuracy parameters;

[0062] Bit error rate parameter.

[0063] Optionally, the air interface processing includes at least one of the following:

[0064] Channel State Information (CSI) feedback;

[0065] Beam management.

[0066] According to a third aspect of the present disclosure, an air interface processing apparatus is provided, the apparatus being applied to a terminal, comprising:

[0067] The reporting module is configured to report a notification message to the base station in response to determining that the terminal selects to perform air interface processing based on artificial intelligence (AI); wherein the notification message is used to notify the base station that the terminal selects to perform air interface processing based on AI.

[0068] According to a fourth aspect of the present disclosure, an air interface processing apparatus is provided, the apparatus being applied to a base station, comprising:

[0069] The receiving module is configured to receive notification messages reported by the terminal; wherein the notification message is used to notify the base station that the terminal selects an air interface processing method based on artificial intelligence (AI).

[0070] According to a fifth aspect of the present disclosure, a computer-readable storage medium is provided, the storage medium storing a computer program for performing the air interface processing method described in any of the first aspects above.

[0071] According to a sixth aspect of the present disclosure, a computer-readable storage medium is provided, the storage medium storing a computer program for performing the air interface processing method described in any of the second aspects above.

[0072] According to a seventh aspect of the present disclosure, an air interface processing apparatus is provided, comprising:

[0073] processor;

[0074] Memory used to store processor-executable instructions;

[0075] The processor is configured to perform the air interface processing method described in any of the first aspects above.

[0076] According to an eighth aspect of the present disclosure, an air interface processing apparatus is provided, comprising:

[0077] processor;

[0078] Memory used to store processor-executable instructions;

[0079] The processor is configured to perform the air interface processing method described in any of the second aspects above.

[0080] The technical solutions provided by the embodiments of this disclosure may include the following beneficial effects:

[0081] In this embodiment, the terminal can report a notification message to the base station. This notification message informs the base station that the terminal has selected an AI-based air interface processing method, facilitating the base station's determination of the terminal's air interface processing method. This disclosure integrates AI with the communication network, utilizing the terminal's AI processing capabilities to improve air interface processing efficiency and communication quality. Furthermore, when AI-based air interface processing cannot meet the requirements, the terminal can be controlled to revert to a non-AI method, improving the flexibility of air interface processing method switching.

[0082] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0083] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0084] Figure 1 This is a schematic diagram illustrating an air interface processing method according to an exemplary embodiment.

[0085] Figure 2 This is a schematic diagram illustrating another air interface processing method according to an exemplary embodiment.

[0086] Figure 3 This is a schematic diagram illustrating another air interface processing method according to an exemplary embodiment.

[0087] Figure 4 This is a schematic diagram illustrating another air interface processing method according to an exemplary embodiment.

[0088] Figure 5 This is a schematic diagram illustrating another air interface processing method according to an exemplary embodiment.

[0089] Figure 6 This is a schematic diagram illustrating another air interface processing method according to an exemplary embodiment.

[0090] Figure 7 This is a block diagram of an air interface processing apparatus according to an exemplary embodiment.

[0091] Figure 8 This is a block diagram of another air interface processing apparatus according to an exemplary embodiment.

[0092] Figure 9 This is a schematic diagram of an air interface processing apparatus according to an exemplary embodiment of the present disclosure.

[0093] Figure 10 This is a schematic diagram of another air interface processing apparatus illustrated in an exemplary embodiment of the present disclosure. Detailed Implementation

[0094] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with some aspects of the invention as detailed in the appended claims.

[0095] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The singular forms “a,” “the,” and “the” as used in this disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any or all possible combinations of at least one associated listed item.

[0096] It should be understood that although the terms first, second, third, etc., may be used in this disclosure to describe various information, such information should not be limited to these terms. These terms are used only to distinguish information of the same type from one another. For example, without departing from the scope of this disclosure, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0097] The following section will first introduce the air interface processing method provided in this disclosure from the perspective of the terminal side.

[0098] This disclosure provides an air interface processing method, referring to... Figure 1 As shown, Figure 1 This is a flowchart illustrating an air interface processing method according to an embodiment, which can be executed by a terminal. The method may include the following steps:

[0099] In step 101, in response to determining that the terminal selects to perform air interface processing based on artificial intelligence (AI), a notification message is reported to the base station.

[0100] In this embodiment of the disclosure, the notification message is used to notify the base station that the terminal selects an AI-based method for air interface processing.

[0101] In one possible implementation, the terminal can report the notification message to the base station via first Radio Resource Control (RRC) signaling.

[0102] The first RRC signaling may reuse the RRC signaling in the relevant protocol, or the first RRC signaling may be a dedicated RRC signaling used to report the notification message. This disclosure does not limit this.

[0103] In another possible implementation, the terminal can report the notification message to the base station via a first Media Access Control Element (MAC CE).

[0104] The first MAC CE can be a dedicated MAC CE used for reporting notification messages.

[0105] In one possible implementation, air interface processing includes, but is not limited to, at least one of the following: Channel State Information (CSI) feedback; beam management.

[0106] In the above embodiments, the terminal can report a notification message to the base station. This notification message is used to notify the base station that the terminal has selected an AI-based air interface processing method, which helps the base station determine the terminal's air interface processing method. This approach is simple to implement and highly usable.

[0107] In some alternative embodiments, refer to Figure 2 As shown, Figure 2 This is a flowchart illustrating an air interface processing method according to an embodiment, which can be executed by a terminal. The method may include the following steps:

[0108] In step 201, in response to determining that the terminal selects to perform air interface processing based on artificial intelligence (AI), a notification message is reported to the base station.

[0109] In this embodiment of the disclosure, the notification message is used to notify the base station that the terminal selects an AI-based method for air interface processing.

[0110] In one possible implementation, the terminal can report the notification message to the base station via the first RRC signaling.

[0111] The first RRC signaling may reuse the RRC signaling in the relevant protocol, or the first RRC signaling may be a dedicated RRC signaling used to report the notification message. This disclosure does not limit this.

[0112] In another possible implementation, the terminal can report the notification message to the base station via the first MAC CE.

[0113] The first MAC CE can be a dedicated MAC CE used for reporting notification messages.

[0114] In one possible implementation, air interface processing includes, but is not limited to, at least one of the following: CSI feedback; beam management.

[0115] In step 202, a rollback configuration instruction is received from the base station when it determines that the terminal meets the rollback conditions.

[0116] In this embodiment of the disclosure, the rollback condition is used to indicate the conditions under which the terminal performs an air interface processing mode rollback, and the rollback configuration instruction is used to instruct the terminal to perform an air interface processing mode rollback.

[0117] In one possible implementation, the base station can send a fallback configuration command to the terminal via a second RRC signaling.

[0118] The second RRC signaling may reuse the RRC signaling in the relevant protocol, or the second RRC signaling may be a dedicated RRC signaling used to send the rollback configuration instruction. This disclosure does not limit this.

[0119] In another possible implementation, the base station can send a fallback configuration command to the terminal via a second MAC CE.

[0120] The second MAC CE can be a dedicated MAC CE used to send the rollback configuration command.

[0121] In step 203, based on the rollback configuration instruction, the process rolls back to a non-AI mode for air interface processing.

[0122] In this embodiment of the disclosure, the non-AI method can be an air interface processing method that is unrelated to AI methods as agreed upon in the relevant technology.

[0123] In this embodiment, the base station can detect whether the terminal meets the fallback conditions. If the base station determines that the terminal meets the fallback conditions, it sends a fallback configuration instruction to the terminal. Upon receiving the fallback configuration instruction, the terminal directly falls back to the non-AI mode for air interface processing based on the instruction. If the terminal does not receive the fallback configuration instruction, it continues to perform air interface processing based on the AI ​​mode.

[0124] In the above embodiments, the terminal can fall back to a non-AI mode for air interface processing based on the fallback configuration command sent by the base station. This improves the flexibility of switching air interface processing modes.

[0125] In some alternative embodiments, refer to Figure 3 As shown, Figure 3 This is a flowchart illustrating an air interface processing method according to an embodiment, which can be executed by a terminal. The method may include the following steps:

[0126] In step 301, in response to determining that the terminal selects to perform air interface processing based on artificial intelligence (AI), a notification message is reported to the base station.

[0127] In this embodiment of the disclosure, the notification message is used to notify the base station that the terminal selects an AI-based method for air interface processing.

[0128] In one possible implementation, the terminal can report the notification message to the base station via the first RRC signaling.

[0129] The first RRC signaling may reuse the RRC signaling in the relevant protocol, or the first RRC signaling may be a dedicated RRC signaling used to report the notification message. This disclosure does not limit this.

[0130] In another possible implementation, the terminal can report the notification message to the base station via the first MAC CE.

[0131] The first MAC CE can be a dedicated MAC CE used for reporting notification messages.

[0132] In one possible implementation, air interface processing includes, but is not limited to, at least one of the following: CSI feedback; beam management.

[0133] In step 302, configuration information for configuring fallback conditions is received from the base station.

[0134] In this embodiment of the disclosure, the fallback condition is used to indicate the conditions under which the terminal performs an air interface processing fallback.

[0135] In one possible implementation, the base station can send configuration information to the terminal via a third RRC signaling.

[0136] The third RRC signaling may reuse the RRC signaling in the relevant protocol, or the third RRC signaling may be a dedicated RRC signaling used to send the configuration information. This disclosure does not limit this.

[0137] In another possible implementation, the base station can send configuration information to the terminal via a third MAC CE.

[0138] The third MAC CE can be a dedicated MAC CE used to send the configuration information.

[0139] In step 303, in response to determining that air interface processing based on AI is required and the fallback condition is met, the process falls back to non-AI air interface processing.

[0140] In this embodiment of the disclosure, the terminal receives the above configuration information when it is about to perform air interface processing based on AI. At this time, the terminal first checks whether the fallback condition is met. If the fallback condition is met, the terminal falls back to the non-AI method for air interface processing.

[0141] Alternatively, if the terminal is currently performing air interface processing based on AI, it may receive the aforementioned configuration information. Before performing further air interface processing based on AI, the terminal will first check whether the fallback condition is met. If the fallback condition is met, the terminal will fall back to the non-AI method for air interface processing.

[0142] Among them, non-AI methods can be air interface processing methods that are unrelated to AI methods as stipulated in the relevant technology protocols.

[0143] In step 304, in response to determining that air interface processing based on AI is required and the fallback condition is not met, air interface processing is performed based on the AI ​​method.

[0144] In this embodiment of the disclosure, the terminal receives the above configuration information when it is about to perform air interface processing based on AI. At this time, the terminal first checks whether the fallback condition is met. If the fallback condition is not met, the terminal still performs air interface processing based on AI.

[0145] Alternatively, if the terminal is already performing air interface processing based on AI, it may receive the aforementioned configuration information. Before performing further air interface processing based on AI, the terminal will first check whether the fallback condition is met. If the fallback condition is not met, the terminal will still perform air interface processing based on AI.

[0146] In the above embodiments, the base station does not need to detect whether the terminal meets the fallback conditions. Instead, it sends the fallback conditions to the terminal through configuration information, and the terminal itself detects whether the fallback conditions are met, thereby determining whether to fall back to the non-AI mode for air interface processing, which improves the flexibility of air interface processing mode switching.

[0147] In some alternative embodiments, the fallback conditions corresponding to different air interface processing behaviors performed by the terminal based on AI may be different.

[0148] For example, the terminal executes the first backoff condition corresponding to CSI feedback based on AI, and the terminal executes the second backoff condition corresponding to beam management based on AI. The first backoff condition and the second backoff condition can be different.

[0149] In one possible implementation, the fallback condition can be at least one of the following:

[0150] The performance parameter value used to characterize the terminal's execution of the different air interface processing behaviors based on AI is less than a preset threshold value;

[0151] The duration for which the performance parameter value is less than the preset threshold value reaches the preset duration.

[0152] In one possible implementation, the preset threshold value corresponding to the different air interface processing behaviors performed by the terminal based on AI can also be different.

[0153] For example, the terminal performs CSI feedback based on AI, corresponding to a first preset threshold value; the terminal performs beam management based on AI, corresponding to a second preset threshold value. The first preset threshold value and the second preset threshold value are different.

[0154] In one possible implementation, the terminal performs different air interface processing actions based on AI, corresponding to different performance parameters. These performance parameters can be any of the following: accuracy parameter; bit error rate parameter.

[0155] For example, the performance parameter corresponding to CSI feedback based on AI by the terminal is the accuracy parameter. The performance parameter corresponding to beam management based on AI by the terminal is the bit error rate parameter. And vice versa.

[0156] The performance parameters can also be other parameters that can indicate the performance of the terminal's air interface processing behavior based on AI, and this disclosure does not limit them.

[0157] Of course, the performance parameters corresponding to different air interface processing behaviors performed by the terminal based on AI can also be the same, and this disclosure does not limit this. For example, the performance parameters corresponding to CSI feedback and beam management performed by the terminal based on AI are both accuracy parameters.

[0158] In another possible implementation, when the performance parameters corresponding to different air interface processing behaviors performed by the terminal based on AI are the same, the first preset threshold value and the second preset threshold value can also be the same, and this disclosure does not limit this.

[0159] For example, the performance parameters for CSI feedback and beam management based on AI in the terminal are both accuracy parameters, and the preset threshold values ​​for both are the same.

[0160] The air interface processing method provided in this disclosure will now be introduced from the perspective of the base station.

[0161] This disclosure provides an air interface processing method, referring to... Figure 4 As shown, Figure 4 This is a flowchart illustrating an air interface processing method according to an embodiment, which can be executed by a base station. The method may include the following steps:

[0162] In step 401, a notification message reported by the terminal is received.

[0163] In this embodiment of the disclosure, the notification message is used to notify the base station that the terminal selects an AI-based method for air interface processing.

[0164] In one possible implementation, the terminal can report the notification message to the base station via the first RRC signaling.

[0165] The first RRC signaling may reuse the RRC signaling in the relevant protocol, or the first RRC signaling may be a dedicated RRC signaling used to report the notification message. This disclosure does not limit this.

[0166] In another possible implementation, the terminal can report the notification message to the base station via the first MAC CE.

[0167] The first MAC CE can be a dedicated MAC CE used for reporting notification messages.

[0168] In one possible implementation, air interface processing includes, but is not limited to, at least one of the following: CSI feedback; beam management.

[0169] In the above embodiments, the base station can receive a notification message reported by the terminal. This notification message is used to notify the base station that the terminal selects an AI-based air interface processing method, facilitating the base station to determine the terminal's air interface processing method. This approach is simple to implement and highly available.

[0170] In some alternative embodiments, refer to Figure 5 As shown, Figure 5 This is a flowchart illustrating an air interface processing method according to an embodiment, which can be executed by a base station. The method may include the following steps:

[0171] In step 501, a notification message reported by the terminal is received.

[0172] In this embodiment of the disclosure, the notification message is used to notify the base station that the terminal selects an AI-based method for air interface processing.

[0173] In one possible implementation, the terminal can report the notification message to the base station via the first RRC signaling.

[0174] The first RRC signaling may reuse the RRC signaling in the relevant protocol, or the first RRC signaling may be a dedicated RRC signaling used to report the notification message. This disclosure does not limit this.

[0175] In another possible implementation, the terminal can report the notification message to the base station via the first MAC CE.

[0176] The first MAC CE can be a dedicated MAC CE used for reporting notification messages.

[0177] In one possible implementation, air interface processing includes, but is not limited to, at least one of the following: CSI feedback; beam management.

[0178] In step 502, in response to determining that the terminal meets the rollback conditions, a rollback configuration command is sent to the terminal.

[0179] In this embodiment of the disclosure, the rollback condition is used to indicate the conditions under which the terminal performs an air interface processing mode rollback, and the rollback configuration instruction is used to instruct the terminal to perform an air interface processing mode rollback.

[0180] In one possible implementation, the base station can send a fallback configuration command to the terminal via a second RRC signaling.

[0181] The second RRC signaling may reuse the RRC signaling in the relevant protocol, or the second RRC signaling may be a dedicated RRC signaling used to send the rollback configuration instruction. This disclosure does not limit this.

[0182] In another possible implementation, the base station can send a fallback configuration command to the terminal via a second MAC CE.

[0183] The second MAC CE can be a dedicated MAC CE used to send the rollback configuration command.

[0184] In this embodiment, the base station can detect whether the terminal meets the fallback conditions. If the base station determines that the terminal meets the fallback conditions, the base station sends a fallback configuration instruction to the terminal. Based on the fallback configuration instruction, the terminal directly falls back to a non-AI mode for air interface processing. The non-AI mode can be an air interface processing mode unrelated to the AI ​​mode as defined in related technologies.

[0185] If the base station determines that the terminal does not meet the fallback conditions, it does not need to send the fallback configuration instruction to the terminal. If the terminal does not receive the fallback configuration instruction, it will continue to perform air interface processing based on AI.

[0186] In the above embodiments, when the base station determines that the terminal meets the fallback conditions, it can send a fallback configuration command to the terminal, instructing the terminal to fall back to a non-AI mode for air interface processing. This improves the flexibility of air interface processing mode switching.

[0187] In some alternative embodiments, refer to Figure 6 As shown, Figure 6 This is a flowchart illustrating an air interface processing method according to an embodiment, which can be executed by a base station. The method may include the following steps:

[0188] In step 601, a notification message reported by the terminal is received.

[0189] In this embodiment of the disclosure, the notification message is used to notify the base station that the terminal selects an AI-based method for air interface processing.

[0190] In one possible implementation, the terminal can report the notification message to the base station via the first RRC signaling.

[0191] The first RRC signaling may reuse the RRC signaling in the relevant protocol, or the first RRC signaling may be a dedicated RRC signaling used to report the notification message. This disclosure does not limit this.

[0192] In another possible implementation, the terminal can report the notification message to the base station via the first MAC CE.

[0193] The first MAC CE can be a dedicated MAC CE used for reporting notification messages.

[0194] In one possible implementation, air interface processing includes, but is not limited to, at least one of the following: CSI feedback; beam management.

[0195] In step 602, configuration information for configuring rollback conditions is sent to the terminal.

[0196] The rollback condition is used to indicate the conditions under which the terminal performs a rollback of the air interface processing mode.

[0197] In one possible implementation, the base station can send configuration information to the terminal via a third RRC signaling.

[0198] The third RRC signaling may reuse the RRC signaling in the relevant protocol, or the third RRC signaling may be a dedicated RRC signaling used to send the configuration information. This disclosure does not limit this.

[0199] In another possible implementation, the base station can send configuration information to the terminal via a third MAC CE.

[0200] The third MAC CE can be a dedicated MAC CE used to send the configuration information.

[0201] In this embodiment of the disclosure, the base station can configure fallback conditions for the terminal, and the terminal can determine whether to fall back to a non-AI mode for air interface processing based on the fallback conditions.

[0202] In the above embodiments, the base station can configure fallback conditions for the terminal and send the fallback conditions to the terminal through the configuration information. The terminal can then detect whether the fallback conditions are met and determine whether to fall back to the non-AI mode for air interface processing, thereby improving the flexibility of air interface processing mode switching.

[0203] In some alternative embodiments, the fallback conditions corresponding to different air interface processing behaviors performed by the terminal based on AI may be different.

[0204] For example, the terminal executes the first backoff condition corresponding to CSI feedback based on AI, and the terminal executes the second backoff condition corresponding to beam management based on AI. The first backoff condition and the second backoff condition can be different.

[0205] In one possible implementation, the fallback condition can be at least one of the following:

[0206] The performance parameter value used to characterize the terminal's execution of the different air interface processing behaviors based on AI is less than a preset threshold value;

[0207] The duration for which the performance parameter value is less than the preset threshold value reaches the preset duration.

[0208] In one possible implementation, the preset threshold value corresponding to the different air interface processing behaviors performed by the terminal based on AI can also be different.

[0209] For example, the terminal performs CSI feedback based on AI, corresponding to a first preset threshold value; the terminal performs beam management based on AI, corresponding to a second preset threshold value. The first preset threshold value and the second preset threshold value are different.

[0210] In one possible implementation, the terminal performs different air interface processing actions based on AI, each with different performance parameters. These performance parameters can be any of the following: accuracy parameter; bit error rate parameter.

[0211] For example, the performance parameter corresponding to CSI feedback based on AI by the terminal is the accuracy parameter. The performance parameter corresponding to beam management based on AI by the terminal is the bit error rate parameter. And vice versa.

[0212] The performance parameters can also be other parameters that can indicate the performance of the terminal's air interface processing behavior based on AI, and this disclosure does not limit them.

[0213] Of course, the performance parameters corresponding to different air interface processing behaviors performed by the terminal based on AI can also be the same, and this disclosure does not limit this. For example, the performance parameters corresponding to CSI feedback and beam management performed by the terminal based on AI are both accuracy parameters.

[0214] In another possible implementation, when the performance parameters corresponding to different air interface processing behaviors performed by the terminal based on AI are the same, the first preset threshold value and the second preset threshold value can also be the same, and this disclosure does not limit this.

[0215] Corresponding to the aforementioned embodiments of the application function implementation method, this disclosure also provides embodiments of the application function implementation apparatus.

[0216] Reference Figure 7 , Figure 7 This is a block diagram of an air interface processing apparatus according to an exemplary embodiment, the apparatus being applied to a terminal, comprising:

[0217] The reporting module 701 is configured to report a notification message to the base station in response to determining that the terminal selects to perform air interface processing based on artificial intelligence (AI); wherein the notification message is used to notify the base station that the terminal selects to perform air interface processing based on AI.

[0218] Reference Figure 8 , Figure 8 This is a block diagram of an air interface processing apparatus according to an exemplary embodiment, the apparatus being applied to a base station, comprising:

[0219] The receiving module 801 is configured to receive notification messages reported by the terminal; wherein the notification message is used to notify the base station that the terminal selects an air interface processing method based on artificial intelligence (AI).

[0220] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this disclosure according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0221] Accordingly, this disclosure also provides a computer-readable storage medium storing a computer program for executing any of the above-described air interface processing methods for the terminal side.

[0222] Accordingly, this disclosure also provides a computer-readable storage medium storing a computer program for executing any of the above-described air interface processing methods for the base station side.

[0223] Accordingly, this disclosure also provides an air interface processing apparatus, comprising:

[0224] processor;

[0225] Memory used to store processor-executable instructions;

[0226] The processor is configured to execute any of the air interface processing methods described above on the terminal side.

[0227] Figure 9 This is a block diagram illustrating an air interface processing apparatus 900 according to an exemplary embodiment. For example, apparatus 900 may be a mobile phone, tablet computer, e-book reader, multimedia playback device, wearable device, in-vehicle user equipment, iPad, smart TV, or other terminal.

[0228] Reference Figure 9 The device 900 may include one or more of the following components: processing component 902, memory 904, power supply component 906, multimedia component 908, audio component 910, input / output (I / O) interface 912, sensor component 916, and communication component 918.

[0229] Processing component 902 typically controls the overall operation of device 900, such as operations associated with display, telephone calls, random data access, camera operation, and recording operations. Processing component 902 may include one or more processors 920 to execute instructions to complete all or part of the steps of the above-described air interface processing method. Furthermore, processing component 902 may include one or more modules to facilitate interaction between processing component 902 and other components. For example, processing component 902 may include a multimedia module to facilitate interaction between multimedia component 908 and processing component 902. Alternatively, processing component 902 may read executable instructions from memory to implement the steps of an air interface processing method provided in the above embodiments.

[0230] Memory 904 is configured to store various types of data to support the operation of device 900. Examples of this data include instructions for any application or method operating on device 900, contact data, phonebook data, messages, pictures, videos, etc. Memory 904 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0231] Power supply component 906 provides power to various components of device 900. Power supply component 906 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power to device 900.

[0232] The multimedia component 908 includes a display screen that provides an output interface between the device 900 and the user. In some embodiments, the multimedia component 908 includes a front-facing camera and / or a rear-facing camera. When the device 900 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera can receive external multimedia data. Each front-facing camera and rear-facing camera can be a fixed optical lens system or have focal length and optical zoom capabilities.

[0233] Audio component 910 is configured to output and / or input audio signals. For example, audio component 910 includes a microphone (MIC) configured to receive external audio signals when device 900 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 904 or transmitted via communication component 918. In some embodiments, audio component 910 also includes a speaker for outputting audio signals.

[0234] I / O interface 912 provides an interface between processing component 902 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0235] Sensor assembly 916 includes one or more sensors for providing status assessments of various aspects of device 900. For example, sensor assembly 916 can detect the on / off state of device 900, the relative positioning of components such as the display and keypad of device 900, changes in position of device 900 or a component of device 900, the presence or absence of user contact with device 900, orientation or acceleration / deceleration of device 900, and temperature changes of device 900. Sensor assembly 916 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 916 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 916 may also include an accelerometer, gyroscope, magnetometer, pressure sensor, or temperature sensor.

[0236] Communication component 918 is configured to facilitate wired or wireless communication between device 900 and other devices. Device 900 can access wireless networks based on communication standards, such as Wi-Fi, 2G, 3G, 4G, 5G, or 6G, or combinations thereof. In one exemplary embodiment, communication component 918 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 918 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0237] In an exemplary embodiment, the device 900 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform any of the air interface processing methods described above on the terminal side.

[0238] In an exemplary embodiment, a non-transitory machine-readable storage medium including instructions is also provided, such as a memory 904 including instructions, which can be executed by a processor 920 of the device 900 to complete the above-described air interface processing method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0239] Accordingly, this disclosure also provides an air interface processing apparatus, comprising:

[0240] processor;

[0241] Memory used to store processor-executable instructions;

[0242] The processor is configured to execute any of the air interface processing methods described above on the base station side.

[0243] like Figure 10 As shown, Figure 10 This is a schematic diagram illustrating the structure of an air interface processing apparatus 1000 according to an exemplary embodiment. The apparatus 1000 can be provided as a base station. (Refer to...) Figure 10 The device 1000 includes a processing component 1022, a wireless transmitting / receiving component 1024, an antenna component 1026, and a signal processing section specific to the wireless interface. The processing component 1022 may further include at least one processor.

[0244] One of the processors in the processing component 1022 can be configured to perform any of the air interface processing methods described above on the base station side.

[0245] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0246] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. An air interface processing method, characterized in that, The method is executed by a terminal and includes: In response to determining that the terminal selects to perform air interface processing based on artificial intelligence (AI), a notification message is reported to the base station; wherein, the notification message is used to notify the base station that the terminal selects to perform air interface processing based on AI. The method further includes: The system receives a rollback configuration instruction sent by the base station when it determines that the terminal meets the rollback conditions; wherein the rollback conditions are used to indicate the conditions under which the terminal performs air interface processing mode rollback, and the rollback configuration instruction is used to instruct the terminal to perform air interface processing mode rollback; Based on the aforementioned rollback configuration command, rollback is performed to a non-AI mode for air interface processing; The preset threshold values ​​corresponding to the different air interface processing behaviors performed by the terminal based on AI are different; the fallback conditions corresponding to the different air interface processing behaviors performed by the terminal based on AI are different, and the fallback conditions include: the performance parameter value used to characterize the different air interface processing behaviors performed by the terminal based on AI is less than the preset threshold value; The terminal performs different air interface processing behaviors based on AI, and the performance parameters corresponding to these behaviors are different. Specifically, the performance parameter corresponding to the terminal performing CSI feedback based on AI is the accuracy parameter, and the performance parameter corresponding to the terminal performing beam management based on AI is the bit error rate parameter.

2. The method according to claim 1, characterized in that, The notification message reported to the base station includes any one of the following: The notification message is reported to the base station via the first Radio Resource Control (RRC) signaling. The notification message is reported to the base station via the first media access control unit (MAC CE).

3. The method according to claim 1, characterized in that, The receipt of the fallback configuration instruction sent by the base station when it determines that the terminal meets the fallback conditions includes any one of the following: When the base station determines that the terminal meets the fallback conditions, it receives the fallback configuration instruction sent by the base station via the second RRC signaling; The base station receives the fallback configuration command sent by the second MAC CE when it determines that the terminal meets the fallback conditions.

4. The method according to claim 1, characterized in that, The method further includes: The terminal receives configuration information sent by the base station for configuring fallback conditions; wherein the fallback conditions are used to indicate the conditions for the terminal to perform air interface processing mode fallback. In response to determining that air interface processing based on AI is required and the fallback conditions are met, fall back to non-AI air interface processing; and / or In response to determining that air interface processing based on AI is required and the fallback condition is not met, air interface processing is performed based on the AI ​​method.

5. The method according to claim 4, characterized in that, The configuration information sent by the base station for configuring fallback conditions includes any one of the following: Receive the configuration information sent by the base station via a third RRC signaling; Receive the configuration information sent by the base station through the third MAC CE.

6. The method according to claim 1, characterized in that, The rollback conditions also include: The duration for which the performance parameter value is less than the preset threshold value reaches the preset duration.

7. An air interface processing method, characterized in that, The method is executed by the base station and includes: The system receives a notification message reported by the terminal; wherein the notification message is used to notify the base station that the terminal selects an air interface processing method based on artificial intelligence (AI). The method further includes: In response to determining that the terminal meets the rollback conditions, a rollback configuration instruction is sent to the terminal; wherein, the rollback conditions are used to indicate the conditions for the terminal to perform air interface processing mode rollback, and the rollback configuration instruction is used to instruct the terminal to perform air interface processing mode rollback; The preset threshold values ​​corresponding to the different air interface processing behaviors performed by the terminal based on AI are different; the fallback conditions corresponding to the different air interface processing behaviors performed by the terminal based on AI are different, and the fallback conditions include: the performance parameter value used to characterize the different air interface processing behaviors performed by the terminal based on AI is less than the preset threshold value; The terminal performs different air interface processing behaviors based on AI, and the performance parameters corresponding to these behaviors are different. Specifically, the performance parameter corresponding to the terminal performing CSI feedback based on AI is the accuracy parameter, and the performance parameter corresponding to the terminal performing beam management based on AI is the bit error rate parameter.

8. The method according to claim 7, characterized in that, The notification message reported by the receiving terminal includes any one of the following: Receive the notification message reported by the terminal to the base station via the first Radio Resource Control (RRC) signaling; The terminal receives the notification message reported to the base station via the first media access control unit (MAC CE).

9. The method according to claim 7, characterized in that, Sending the rollback configuration command to the terminal includes any one of the following: The fallback configuration command is sent to the terminal via a second RRC signaling; The rollback configuration command is sent to the terminal via the second MAC CE.

10. The method according to claim 7, characterized in that, The method further includes: Configuration information for configuring rollback conditions is sent to the terminal; wherein the rollback conditions are used to instruct the terminal to perform air interface processing mode rollback.

11. The method according to claim 10, characterized in that, Sending configuration information to the terminal for configuring rollback conditions includes any one of the following: The configuration information is sent to the terminal via a third RRC signaling; The configuration information is sent to the terminal via a third MAC CE.

12. The method according to claim 7, characterized in that, The rollback conditions also include: The duration for which the performance parameter value is less than the preset threshold value reaches the preset duration.

13. An air interface processing device, characterized in that, The device is applied to a terminal and includes: The reporting module is configured to report a notification message to the base station in response to determining that the terminal selects to perform air interface processing based on artificial intelligence (AI); wherein the notification message is used to notify the base station that the terminal selects to perform air interface processing based on AI. The device is further configured to: The system receives a rollback configuration instruction sent by the base station when it determines that the terminal meets the rollback conditions; wherein the rollback conditions are used to indicate the conditions under which the terminal performs air interface processing mode rollback, and the rollback configuration instruction is used to instruct the terminal to perform air interface processing mode rollback; Based on the aforementioned rollback configuration command, rollback is performed to a non-AI mode for air interface processing; The preset threshold values ​​corresponding to the different air interface processing behaviors performed by the terminal based on AI are different; the fallback conditions corresponding to the different air interface processing behaviors performed by the terminal based on AI are different, and the fallback conditions include: the performance parameter value used to characterize the different air interface processing behaviors performed by the terminal based on AI is less than the preset threshold value; The terminal performs different air interface processing behaviors based on AI, and the performance parameters corresponding to these behaviors are different. Specifically, the performance parameter corresponding to the terminal performing CSI feedback based on AI is the accuracy parameter, and the performance parameter corresponding to the terminal performing beam management based on AI is the bit error rate parameter.

14. An air interface processing device, characterized in that, The device is applied to a base station and includes: The receiving module is configured to receive notification messages reported by the terminal; wherein the notification message is used to notify the base station that the terminal selects an air interface processing method based on artificial intelligence (AI). The device is also configured to: In response to determining that the terminal meets the rollback conditions, a rollback configuration instruction is sent to the terminal; wherein, the rollback conditions are used to indicate the conditions for the terminal to perform air interface processing mode rollback, and the rollback configuration instruction is used to instruct the terminal to perform air interface processing mode rollback; The preset threshold values ​​corresponding to the different air interface processing behaviors performed by the terminal based on AI are different; the fallback conditions corresponding to the different air interface processing behaviors performed by the terminal based on AI are different, and the fallback conditions include: the performance parameter value used to characterize the different air interface processing behaviors performed by the terminal based on AI is less than the preset threshold value; The terminal performs different air interface processing behaviors based on AI, and the performance parameters corresponding to these behaviors are different. Specifically, the performance parameter corresponding to the terminal performing CSI feedback based on AI is the accuracy parameter, and the performance parameter corresponding to the terminal performing beam management based on AI is the bit error rate parameter.

15. A computer-readable storage medium, characterized in that, The storage medium stores a computer program for executing the air interface processing method according to any one of claims 1-6.

16. A computer-readable storage medium, characterized in that, The storage medium stores a computer program for executing the air interface processing method according to any one of claims 7-12.

17. An air interface processing device, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor is configured to perform the air interface processing method according to any one of claims 1-6.

18. An air interface processing device, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor is configured to perform the air interface processing method according to any one of claims 7-12.

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