Information transmission method and apparatus, and related device

Abstract

The present application relates to the technical field of wireless communications, and provides an information transmission method and apparatus, and a related device. The method comprises: sending first information to a network, wherein the first information is used for indicating whether a terminal satisfies a condition for executing an artificial intelligence function.

Description

Information transmission methods, devices and related equipment

[0001] Related applications

[0002] This application claims priority to Chinese patent application filed on March 28, 2025, with application number 202510386494X, entitled "Information Transmission Method, Apparatus and Related Equipment", the entire contents of which are incorporated herein by reference. Technical Field

[0003] This disclosure relates to the field of wireless communication technology, and in particular to an information transmission method, apparatus and related equipment. Background Technology

[0004] Artificial intelligence (AI) and machine learning (ML) play a crucial role in addressing the complex challenges of 5G-Advanced systems (an enhanced version of fifth-generation mobile communication technology designed to provide higher performance, more features, and a wider range of applications). AI / ML functions are powerful tools that can efficiently assist in wireless network management and air interface transmission, ultimately leading to performance improvements. However, existing AI / ML functions have poor generalization capabilities, and inappropriate use can negatively impact network performance. It should be noted that the information disclosed in the background section above is only for enhancing the understanding of the background of this disclosure and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] This disclosure provides an information transmission method, apparatus, and related equipment for effectively managing AI / ML functions.

[0006] Other features and advantages of this disclosure will become apparent from the following detailed description, or may be learned in part from practice of this disclosure.

[0007] According to one aspect of this disclosure, an information transmission method is provided, applied to a terminal, comprising: sending first information to a network, wherein the first information is used to indicate whether the terminal meets the conditions for performing artificial intelligence functions.

[0008] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the conditions for performing artificial intelligence functions include enabling the Channel State Information (CSI) report configuration or using the model.

[0009] In some exemplary embodiments of this disclosure, based on the foregoing scheme, sending the first information to the network includes at least one of the following: the terminal sends the first information to the network when the condition is met; the terminal sends the first information to the network when the condition is not met; the terminal sends the first information to the network when the condition changes from being met to not being met; and the terminal sends the first information to the network when the condition changes from not being met to being met.

[0010] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the first information includes at least one of the following: Radio Resource Control (RRC) reconfiguration completion message; terminal assistance information; RRC establishment completion message; RRC reconstruction completion message; uplink control information (UCI); and media access control element (MAC CE).

[0011] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the conditions include one or more of the following: speed, reference signal received power threshold, reference signal received quality threshold, and signal-to-noise ratio threshold.

[0012] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the conditions are the network configuration and / or pre-configuration.

[0013] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the method further includes: receiving second information, the second information including the condition and / or at least one of the following identifiers: CSI report configuration identifier; model identifier; identifier for identifying the condition.

[0014] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the first information includes the identifier.

[0015] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the identifier includes the identifier of the network request.

[0016] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the second information includes at least one of the following: RRC reconfiguration message; RRC establishment message; RRC reconstruction message; MAC CE.

[0017] According to another aspect of this disclosure, an information transmission method is also provided, applied to a network device, characterized in that it includes: receiving first information sent by the terminal, wherein the first information is used to indicate whether the terminal meets the conditions for performing artificial intelligence functions.

[0018] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the conditions for performing artificial intelligence functions include enabling the Channel State Information (CSI) report configuration or using the model.

[0019] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the first information includes at least one of the following: RRC reconfiguration completion message; terminal assistance information; RRC establishment completion message; RRC reconstruction completion message; UCI; MAC CE.

[0020] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the first information is used to indicate at least one of the following: the terminal satisfies the condition; the terminal does not satisfy the condition; the terminal changes from satisfying the condition to not satisfying the condition; the terminal changes from not satisfying the condition to satisfying the condition.

[0021] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the conditions include one or more of the following: speed, reference signal received power threshold, reference signal received quality threshold, and signal-to-noise ratio threshold.

[0022] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the conditions are the network configuration and / or pre-configuration.

[0023] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the method further includes: sending second information, the second information including the condition and / or at least one of the following identifiers: CSI report configuration identifier; model identifier; identifier for identifying the condition.

[0024] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the first information includes the identifier.

[0025] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the identifier includes the identifier of the network request.

[0026] In some exemplary embodiments of this disclosure, based on the foregoing scheme, the second information includes at least one of the following: RRC reconfiguration message; RRC establishment message; RRC reconstruction message; MAC CE.

[0027] According to another aspect of this disclosure, an information transmission device is also provided, applied to a terminal, comprising: a first information sending module for sending first information to a network, wherein the first information is used to indicate whether the terminal meets the conditions for performing artificial intelligence functions.

[0028] According to another aspect of this disclosure, an information transmission apparatus is also provided, applied to a network device, comprising: a first information receiving module, configured to receive first information sent by a terminal, wherein the first information is used to indicate whether the terminal meets the conditions for performing artificial intelligence functions.

[0029] According to another aspect of this disclosure, an electronic device is also provided, comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform any of the above-described information transmission methods by executing the executable instructions.

[0030] According to another aspect of this disclosure, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements any of the above-described information transmission methods.

[0031] According to another aspect of this disclosure, a computer program product is also provided, comprising: a computer program or instructions, wherein the computer program or instructions, when executed by a processor, implement the information transmission method of any one of the above.

[0032] 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

[0033] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure. It is obvious that the drawings described below are merely some embodiments of this disclosure, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0034] Figure 1 shows a schematic diagram of an exemplary application system architecture for an information transmission method according to an embodiment of the present disclosure;

[0035] Figure 2 shows a schematic diagram of an information transmission method applied to a terminal in an embodiment of the present disclosure;

[0036] Figure 3 shows a schematic diagram of an information transmission method applied to a base station according to an embodiment of the present disclosure;

[0037] Figure 4 shows an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure;

[0038] Figure 5 shows an interactive schematic diagram of an information transmission method according to an embodiment of the present disclosure;

[0039] Figure 6 shows a schematic diagram of an information transmission device applied to a terminal in an embodiment of the present disclosure;

[0040] Figure 7 shows a schematic diagram of an information transmission device applied to a base station according to an embodiment of the present disclosure;

[0041] Figure 8 shows a schematic diagram of an electronic device using an information transmission method according to an embodiment of the present disclosure. Detailed Implementation

[0042] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, they are provided so that this disclosure will be more comprehensive and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0043] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this disclosure. However, those skilled in the art will recognize that the technical solutions of this disclosure can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this disclosure.

[0044] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0045] As shown in Figure 1, the system architecture includes terminal device 101, network 102, and network device 103.

[0046] Network 102 is a medium used to provide a communication link between terminal device 101 and network device 103, and can be a wired network or a wireless network.

[0047] Optionally, the aforementioned wireless or wired networks use standard communication technologies and / or protocols. The network is typically the Internet, but can also be any network, including but not limited to Local Area Networks (LANs), Metropolitan Area Networks (MANs), Wide Area Networks (WANs), mobile, wired or wireless networks, private networks, or any combination of virtual private networks. In some embodiments, technologies and / or formats including Hyper Text Markup Language (HTML), Extensible Markup Language (XML), etc., are used to represent data exchanged over the network. Furthermore, conventional encryption technologies such as Secure Socket Layer (SSL), Transport Layer Security (TLS), Virtual Private Networks (VPNs), and Internet Protocol Security (IPSec) can be used to encrypt all or some links. In other embodiments, custom and / or dedicated data communication technologies can be used to replace or supplement the aforementioned data communication technologies.

[0048] Optionally, the terminal device in this embodiment may also be referred to as UE (User Equipment). In specific implementation, the terminal device may be a mobile phone, tablet personal computer, laptop computer, personal digital assistant (PDA), mobile internet device (MID), wearable device, or vehicle-mounted device, etc. It should be noted that the specific type of terminal device is not limited in the embodiments of the present invention.

[0049] Network devices can be base stations, relays, servers, or access points, etc. Base stations can be 5G, 6G, and later versions of base stations (e.g., gNB, NG-RAN node, IAB node), or base stations in other communication systems (e.g., eNB base stations). It should be noted that the specific type of network device is not limited in the embodiments disclosed herein.

[0050] Those skilled in the art will understand that the number of terminals, networks, and network devices shown in Figure 1 is merely illustrative, and any number of terminals, networks, and network devices can be included according to actual needs. This disclosure does not limit this number.

[0051] Under the above system architecture, this disclosure provides an information transmission method that can be executed by any electronic device with computing capabilities.

[0052] In some embodiments, the information transmission method provided in this disclosure can be executed by a terminal device in the above-described system architecture; in other embodiments, the information transmission method provided in this disclosure can be executed by a network device in the above-described system architecture; in still other embodiments, the information transmission method provided in this disclosure can be implemented by the terminal device and the network device in the above-described system architecture through interaction.

[0053] In some embodiments, this disclosure applies AI / ML to beam management scenarios, using network-side AI / ML models to predict beams instead of the traditional method of selecting beams based on measurement results. This reduces the measurement burden on the terminal. However, the generalization ability of AI / ML models used for beam management may be limited. That is, a model trained in a specific environment may not perform well or accurately when used for inference in other environments. Therefore, this model or function needs to be used under specific conditions. These conditions can be divided into terminal-side conditions and network-side conditions. Obviously, the base station knows the network-side conditions, but it cannot know whether the terminal meets the terminal-side conditions, such as speed or whether the terminal is in a weak signal area. Therefore, it cannot determine whether the AI / ML-based beam management function / model is applicable.

[0054] Figure 2 shows a schematic diagram of an information transmission method according to an embodiment of the present disclosure. The method is applied to a terminal and includes the following steps:

[0055] S202, send first information to the network, wherein the first information is used to indicate whether the terminal meets the conditions for performing artificial intelligence functions.

[0056] In some embodiments, the artificial intelligence (AI) functions in this disclosure refer to the technologies and capabilities of computer systems that simulate human intelligence. These functions enable machines to perform tasks that typically require human intelligence, such as perception, learning, reasoning, decision-making, and natural language processing. For example, machine learning learns patterns from data through algorithms and makes predictions or decisions based on the learned knowledge. Clearly, these AI functions can significantly improve work efficiency. AI functions can be understood as AI-enabled features, AI-based features, AI-enhanced features, AI / ML for air interfaces, AI-enabled beam management, AI-based beam management, AI-enhanced beam management, AI / ML for beam management, AI-enabled beam prediction, AI-based beam prediction, AI-enhanced beam prediction, or AI / ML for beam prediction, etc.

[0057] In some embodiments, the model in this disclosure may be a model pre-trained using machine learning on various artificial intelligence algorithm models (e.g., neural network models) or combinations thereof, or a network-side model (e.g., a model deployed on the network side), such as an AI / ML model. This model utilizes algorithms to learn from large amounts of historical data and generate models capable of prediction or decision-making. The application of AI / ML models in the field of communication greatly improves the intelligence level and operational efficiency of systems. By using models appropriately, modern communication systems can be better designed, optimized, and managed, thereby improving system performance and reliability. The model can be used to predict beams, predict the best K beams (K greater than or equal to 1), or for beam management.

[0058] The information transmission method provided in the embodiments of this disclosure sends first information to the network, wherein the first information is used to indicate whether the terminal performs artificial intelligence functions. Addressing the question of whether the network can activate AI / ML model-related functions, the embodiments of this disclosure enable the network to promptly know whether the terminal meets the terminal-side conditions of the network-side AI / ML model, thereby determining the availability of functions based on the network-side AI / ML model and making correct function management decisions to avoid affecting network performance.

[0059] In some embodiments, the conditions for performing artificial intelligence functions include conditions for enabling Channel State Information (CSI) reporting configuration or conditions for using a model.

[0060] In this application, artificial intelligence functions can be characterized by a set of inference configurations. In the application scenarios of this disclosure, for example, for AI-based beam management functions, the inference configuration can be part of the Channel State Information (CSI) reporting configuration when designing signaling. For other AI-based functions, such as AI-based mobility functions, the inference configuration can be part of the measurement configuration when designing signaling.

[0061] In some embodiments of this disclosure, the CSI report configuration is a set of parameters and rules used in a wireless communication system to configure how user equipment (UE) acquires and reports channel state information (CSI) or beam information. By properly configuring CSI reports, the base station can better understand the current channel conditions, optimize downlink transmission performance, and improve overall system efficiency and user experience.

[0062] In some embodiments, the network can enable CSI report configuration to distribute inference configurations corresponding to AI / ML models or artificial intelligence functions, allowing terminals to assist the network in network management based on AI / ML models or artificial intelligence functions. For beam management scenarios based on network-side AI / ML models, the terminal only measures the reference signals of a few beams (e.g., 4), reporting the measurement results of these few beams to the network as input to the network-side AI / ML model. The network then uses the AI / ML model to infer and predict the L1 RSRP and / or the beam with the strongest RSRP for the majority (e.g., 16) beams, thereby reducing beam / reference signal measurement overhead. The CSI report configuration determines the time-frequency resource location of the reference signals that the terminal needs to measure, and which channel state information (e.g., beam measurement information, i.e., beam index and / or the corresponding RSRP / RSRQ / SINR) the terminal reports to the base station. This channel state information / beam measurement information is a crucial input to the AI / ML model. Therefore, the relationship between CSI report configuration and AI / ML models is close and interdependent.

[0063] More specifically, for example, at a concert venue, if the network wants to optimize resource allocation through an AI / ML model to meet the demands of dense users, the network can configure multiple CSI reporting configurations, each targeting different user density areas (such as the audience seating area, media area, etc.), and send them to the UE via RRC signaling, along with AI / ML model parameters, including user movement speed, historical network load data, etc. The UE measures channel state information according to the configuration and determines whether the UE-side conditions are met. If the UE-side conditions are met, the UE reports relevant information to the network. After receiving the information reported by the UE, the network inputs it into the AI / ML model. The AI / ML model generates resource allocation decisions based on the input data, such as increasing bandwidth in certain areas or prioritizing services for critical applications (such as live video streaming). The network executes corresponding operations based on the model output to optimize resource allocation.

[0064] In this embodiment, the conditions for performing artificial intelligence functions may include conditions for enabling Channel State Information (CSI) reporting configuration or conditions for using a model. That is, the first information is used to indicate whether the terminal meets either the conditions for enabling CSI reporting configuration or the conditions for using a model.

[0065] It should be noted that the first information in this embodiment can be understood as: indication information, status information, availability information, auxiliary information, additional information, etc.; the condition in this embodiment can also be understood as: status, situation, configuration, scenario, requirement, etc.; the enable in this embodiment can also be understood as: activation, startup, use, application, availability, support, permission, execution, etc.; the execution in this embodiment can also be understood as: enable, use, activation, configuration, application, startup, availability, support, permission, operation, etc.; the use in this embodiment can also be understood as: enable, activation, configuration, application, startup, availability, support, permission, etc.

[0066] The information transmission method provided in the embodiments of this disclosure sends first information to the network, wherein the first information is used to indicate whether the terminal meets at least one of the following conditions: conditions for enabling CSI report configuration; conditions for using the model. Regarding the question of whether the network can activate the relevant functions of the AI / ML model, the embodiments of this disclosure enable the network to promptly know whether the terminal meets the terminal-side conditions of the network-side AI / ML model by sending first information to the network indicating whether the terminal meets the conditions for CSI report configuration and / or the conditions for using the model. This allows the network to determine the applicability of the functions based on the network-side AI / ML model and make correct function management decisions to avoid affecting network performance.

[0067] In some embodiments, the conditions in this disclosure may refer to UE-side conditions or additional UE-side conditions.

[0068] In some embodiments, sending first information to the network according to this disclosure includes at least one of the following: sending first information to the network when the terminal meets the conditions; sending first information to the network when the terminal does not meet the conditions; sending first information to the network when the terminal changes from meeting the conditions to not meeting the conditions; and sending first information to the network when the terminal changes from not meeting the conditions to meeting the conditions. Specifically, if the terminal meets the conditions, the first information is used to indicate that the terminal meets the conditions; if the terminal does not meet the conditions, the first information is used to indicate that the terminal does not meet the conditions; if the terminal changes from meeting the conditions to not meeting the conditions, the first information is used to indicate that the terminal does not meet the conditions; and if the terminal changes from not meeting the conditions to meeting the conditions, the first information is used to indicate that the terminal meets the conditions. It is evident that by sending the first information to the network, the network side can promptly ascertain whether the terminal meets the conditions of the network-side AI / ML model and whether the UE-side conditions have changed. This allows the network side to determine the availability of functions based on the network-side AI / ML model and whether these availability conditions have changed. Furthermore, by having the terminal proactively report UE-side conditions that are no longer met, the network can promptly stop using base station-side / network-side model inference when certain network-side model usage conditions are not met. This avoids inaccurate inference results due to non-compliance with network-side model usage conditions, thereby preventing negative impacts on network performance.

[0069] In some embodiments, "when the terminal changes from meeting the conditions to not meeting the conditions" in this disclosure can be understood as sending the first information to the network if the terminal's condition changes.

[0070] In some embodiments, "when the terminal changes from not meeting the conditions to meeting the conditions, it sends the first information to the network" in this disclosure can be understood as sending the first information to the network if the terminal's condition changes.

[0071] In some embodiments of this disclosure, the first information includes at least one of the following: Radio Resource Control (RRC) reconfiguration completion message; terminal assistance information; RRC establishment completion message; RRC reconstruction completion message; Uplink Control Information (UCI); Medium Access Control Element (MAC CE). Specifically, in this embodiment, the RRC reconfiguration completion message confirms that the UE has successfully executed the RRC reconfiguration command sent by the network (e.g., a base station); terminal assistance information refers to UE AssistanceInformation messages or auxiliary data and / or status reports provided by the UE to the network (e.g., a base station). This information helps the network optimize resource allocation, improve service quality, and enhance user experience; the RRC establishment completion message signifies the completion of the RRC connection establishment process, confirming not only the successful access of the UE but also providing important context information to the network, triggering subsequent resource allocation and service processes; the RRC reconstruction completion message signifies the completion of the RRC connection reconstruction process, confirming not only the successful recovery of the UE but also providing important context information to the network, triggering subsequent resource allocation and service recovery processes; UCI is a type of important control information sent by the UE to the network (e.g., a base station) in a wireless communication system. UCI is mainly used to support data transmission and link management, ensuring the efficient operation of the communication system; MAC CE is used to provide specific control commands or status reports to support data transmission and link management.

[0072] It should be noted that, for terminals performing handover, or terminals in RRC connected state, or terminals where the network configures second information (conditions, and / or, CSI report configuration identifier, and / or, model identifier, and / or, identifier used to identify conditions) through RRC reconfiguration messages, the first information is the RRC reconfiguration completion message, UCI, or MAC CE; for terminals initiating reporting under pre-configured conditions, or terminals changing from not meeting conditions to meeting conditions, or terminals changing from not meeting conditions to meeting conditions, the first information is the UEAssistanceInformation; for terminals reconstructing RRC, the first information is the RRC reconstruction completion message; for terminals establishing RRC, the first information is the RRC establishment completion message.

[0073] In some embodiments, the conditions in this disclosure include one or more of the following: speed, Reference Signal Received Power (RSRP) threshold, Reference Signal Received Quality (RSRQ) threshold, and Signal-to-Noise and Interference Ratio (SINR) threshold. Specifically, in this disclosure, speed refers to the speed at which the terminal moves; speed, RSRP threshold, RSRQ threshold, and SINR threshold are preset or network-configured thresholds; RSRQ considers not only the strength of the reference signal but also the effects of noise and interference; the SINR threshold refers to the ratio of the effective power of the received signal (i.e., the useful signal power) to the total power of noise and interference. A higher SINR indicates better signal quality, a lower bit error rate in the communication system, and a higher data transmission rate.

[0074] The conditions include at least one of the following: the terminal's speed is less than or equal to the speed specified in the condition; the reference signal received power measured by the terminal is greater than or equal to the reference signal received power threshold configured by the network; the reference signal received quality of the terminal is greater than or equal to the reference signal received quality threshold configured by the network; and the signal-to-noise ratio (SNR) measured by the terminal is greater than or equal to the SNR threshold configured by the network. In some embodiments, since the model training server trains the model under specific conditions (e.g., the terminal speed meets a specific range, and / or the terminal measured RSRP meets a specific range, and / or the terminal measured RSRQ meets a specific range, and / or the terminal measured SINR meets a specific range), the terminal determines whether the conditions are met (i.e., conditions for enabling CSI reporting configuration, conditions for performing artificial intelligence functions, or conditions for using the model) when the speed meets a specific range, and / or RSRP meets a specific range, and / or RSRQ meets a specific range, and / or SINR meets a specific range.

[0075] In some embodiments, for AI / ML-based beam management scenarios, model generalization is limited, and different models are often applicable to different cells. High-speed terminal movement means that model performance will be relatively poor. If the terminal determines that its current moving speed is less than or equal to the configured speed threshold, it indicates that the terminal is not in a high-speed movement state, while high-speed movement may lead to frequent handovers and rapid changes in channel conditions. When the terminal meets the above conditions, it indicates that the terminal does not need to frequently handover from one cell to another. In this case, reporting the first information can help the network better understand the terminal's status, so that the network can decide whether to execute the functions of the AI / ML model.

[0076] In some embodiments, if the reference signal received power measured by the terminal is greater than or equal to the reference signal received power threshold configured by the network, it indicates that the base station signal received by the terminal is strong, which usually means that the distance between the terminal and the serving cell is close or the wireless propagation environment is good, and the signal attenuation is small. Alternatively, if the reference signal received quality of the terminal is greater than or equal to the reference signal received quality threshold configured by the network, it indicates that the base station signal received by the terminal is strong, the noise and interference levels are low, and the signal quality is good, which is conducive to high-quality data transmission. In addition, if the signal-to-noise-interference ratio measured by the terminal is greater than or equal to the signal-to-noise-interference ratio threshold configured by the network, it indicates that the signal clarity measured by the terminal is high and the bit error rate is low. It can be seen that if the terminal meets at least one of the above conditions, reporting the first information can help the network better understand the terminal's status, so as to enable the network to decide whether to execute the AI / ML model function.

[0077] In some embodiments, pre-configuration can be understood as configurations, variables, parameters, or values ​​specified in the protocol. Pre-configuration can also be understood as pre-set settings, such as the default settings of the terminal at the factory or the default settings of the SIM card.

[0078] In some embodiments, the conditions in this disclosure are network configuration and / or pre-configuration. Specifically, the conditions in this disclosure can be network-configured, with the terminal receiving and reporting the network configuration; or pre-configured (e.g., as specified by the protocol), with the terminal reporting according to the implementation. For example, the network sends conditions to the terminal via an RRC reconfiguration message, or the terminal obtains pre-configured conditions. More specifically, network configuration can be understood as the dynamic adjustment of network parameters by the network management system or base station based on the current network conditions, user needs, or other factors, such as adjusting the cell's transmit power, handover threshold, resource allocation strategy, etc. Pre-configuration can be understood as parameter values ​​pre-set when the device leaves the factory or during service initialization. These values ​​are usually set based on typical usage scenarios or standard specifications and can meet the needs in most cases to a certain extent. Pre-configuration can also be adjusted through software updates, but it generally does not change frequently. Using network configuration and / or pre-configuration combines the advantages of dynamic adjustment and static setting, enabling rapid response to rapidly changing network environments while maintaining basic functionality and service quality in the absence of immediate network intervention.

[0079] In some embodiments, the information transmission method in this disclosure further includes: receiving second information, the second information including an identifier of a condition and / or at least one of the following: a CSI report configuration identifier; a model identifier; an identifier for identifying the condition. Specifically, the identifier in the second information can be the corresponding CSI report configuration ID and / or model identifier sent by the network to the terminal via RRC reconfiguration message, or a first identifier sent by the network to the terminal. The first identifier is used to identify the condition. The CSI report configuration ID enables the base station to identify which AI / ML-based air interface function the UE-side condition met by the terminal is for. The model identifier enables the base station to identify which AI / ML model and function the UE-side condition met by the terminal is for. By using a dedicated identifier (i.e., the first identifier) ​​to characterize the UE-side condition, if multiple AI / ML-based air interface functions or multiple AI / ML models need to meet the same UE-side condition, the same first identifier can be set for these AI / ML air interface functions or multiple AI / ML models. The first identifier corresponds to the UE-side condition. In this way, only one identifier is needed to instruct the terminal to report whether it meets the UE-side conditions of multiple AI / ML-based air interface functions or multiple AI / ML models, further reducing signaling overhead.

[0080] In some embodiments, the first information in this disclosure includes an identifier. Specifically, the base station sends a CSI report configuration identifier, a model identifier, and an identifier for identifying conditions to the terminal in advance. Subsequently, the terminal determines whether it meets the UE-side conditions and sends first information to the base station indicating whether the terminal meets the UE-side conditions. This first information includes the identifier. In this way, the terminal does not need to repeatedly report its speed, RSRP measurement value, SINR measurement value, etc., for the base station to determine whether the terminal meets the UE-side conditions. Instead, it only needs to send an identifier indicating whether the UE-side conditions are met or not. Based on this identifier, the network can quickly determine which AI / ML air interface functions or multiple AI / ML models are related to the indication that the terminal meets the UE-side conditions, and then decide which AI / ML air interface functions or multiple AI / ML models can be executed, saving signaling overhead.

[0081] In some embodiments, the identifiers in this disclosure include CSI report configuration identifiers, model identifiers, and identifiers for identifying conditions corresponding to all AI / ML models / functions deployed in the network. These identifiers are configured with corresponding UE-side conditions, and the terminal can report an indication of whether the conditions are met or not, as well as the identifier corresponding to the condition, according to the actual situation.

[0082] In some embodiments of this disclosure, each CSI report configuration has a unique identifier, each AI / ML model also has a unique identifier, and each / group of conditions also has a unique identifier. These identifiers are configured by the network and sent to the UE so that the UE can determine under what circumstances to report whether these conditions are met. For example, if a user is traveling on a high-speed train and uses their mobile phone to browse the internet or watch online videos, the UE's speed may be 300 km / h, while the network's speed threshold is 360 km / h. In this case, the UE will consider the condition "the terminal's speed is less than or equal to the speed threshold" to be met and report the first information that the condition is met and the identifier corresponding to the condition to the network. If a user is taking a walk in a park and using their mobile phone to make a voice call, the UE's speed may be 6 km / h, while the network's speed threshold is 5 km / h. In this case, the UE will consider the condition "the terminal's speed is less than or equal to the speed threshold" to be not met and report the first information that the condition is not met and the identifier corresponding to the condition to the network.

[0083] In some embodiments of this disclosure, if the RSRP measured by the UE is -70dBm and the RSRP threshold set by the network is -80dBm, the UE will consider that the condition "the reference signal received power measured by the terminal is greater than or equal to the reference signal received power threshold configured by the network" is met and report the first information that the condition is met and the identifier corresponding to the condition to the network. If the RSRP measured by the UE is -70dBm and the RSRP threshold set by the network is -50dBm, the UE will consider that the condition "the reference signal received power measured by the terminal is greater than or equal to the reference signal received power threshold configured by the network" is not met and report the first information that the condition is not met and the identifier corresponding to the condition to the network.

[0084] In some embodiments of this disclosure, if the RSRQ measured by the UE is -15dB, which is higher than the RSRQ threshold of -20dB set by the network, the UE will report to the network a first message including the condition that "the terminal's reference signal reception quality is greater than or equal to the reference signal reception quality threshold configured by the network" is met, along with an identifier corresponding to that condition. If the RSRQ measured by the UE is -15dB, which is lower than the RSRQ threshold of -10dB set by the network, the UE will report to the network a first message including the condition that "the terminal's reference signal reception quality is greater than or equal to the reference signal reception quality threshold configured by the network" is not met, along with an identifier corresponding to that condition.

[0085] In some embodiments of this disclosure, if the SINR measured by the UE is 10dB, which is greater than the network-configured SINR threshold of 8dB, then the UE will report to the network a first message including the condition that "the terminal-measured signal-to-noise-interference ratio is greater than or equal to the network-configured signal-to-noise-interference ratio threshold" is met, along with an identifier corresponding to that condition. If the SINR measured by the UE is 9dB, which is less than the network-configured SINR threshold of 10dB, then the UE will report to the network a first message including the condition that "the terminal-measured signal-to-noise-interference ratio is greater than or equal to the network-configured signal-to-noise-interference ratio threshold" is not met, along with an identifier corresponding to that condition.

[0086] It should be noted that the speed, reference signal received power threshold, reference signal received quality threshold, and signal-to-noise ratio threshold in the embodiments of this disclosure are not limited to the data set above in the embodiments of this disclosure. Those skilled in the art can flexibly set the speed, reference signal received power threshold, reference signal received quality threshold, and signal-to-noise ratio threshold according to actual conditions. The embodiments of this disclosure do not impose specific limitations.

[0087] In some embodiments of this disclosure, after receiving a report from a UE, the network considers the first information reported and the identifier corresponding to the condition contained in the first information, and inputs it into a suitable AI / ML model. This model may consider multiple factors (such as the reported identifier used to identify the condition) and make resource allocation decisions accordingly. For example, if most UEs report that their RSRP and SINR are higher than the threshold, but their RSRQ is lower, the corresponding AI / ML model identifier is selected so that the AI / ML model corresponding to the identifier may decide to increase the resource allocation on certain frequency bands, thereby improving the overall network quality.

[0088] In some embodiments, the identifier in this disclosure includes an identifier for a network request. The network may request the terminal to report the satisfaction status of the UE-side conditions corresponding to the identifier of the network request on demand.

[0089] For example, when the network-side conditions required for an AI / ML-based air interface function or model are met (e.g., AI / ML-based beam management function, AI / ML-based spatial downlink beam prediction function, AI / ML-based temporal downlink beam prediction function), the network sends a request to the terminal to request the terminal to report whether the UE-side conditions corresponding to the network request identifier are met. The network request identifier includes one or more identifiers. The network only needs to send an identifier indicating whether the UE-side conditions are met or not to determine whether the terminal meets the UE-side conditions, thus saving signaling overhead.

[0090] In some embodiments, the second information in this disclosure includes at least one of the following: an RRC reconfiguration message; an RRC establishment message; an RRC reconstruction message; and a MAC CE. Specifically, the RRC reconfiguration message is used to instruct the UE to perform various configurations. By using the RRC reconfiguration message appropriately, the communication system can maintain high efficiency, stability, and reliability in complex and ever-changing environments. The RRC establishment message is used to respond to the RRC connection request initiated by the UE and allocate the necessary resources to the UE to complete the connection establishment. The RRC reconstruction message is used to re-establish the RRC connection and restore communication services after a radio link failure or other abnormal situation occurs. It provides the UE with the necessary configuration information to restore the connection and also ensures the state synchronization between the base station and the UE, thereby guaranteeing service continuity and quality of service. The MAC CE is used to provide specific control commands or status reports to support data transmission and link management.

[0091] In some embodiments of this disclosure, for terminals performing handover or terminals in RRC connection state, the network sends second information through RRC reconfiguration messages or MAC CE; for terminals reconstructing RRC, the network sends second information through RRC reconstruction messages; for terminals establishing RRC, the network sends second information through RRC establishment messages.

[0092] Figure 3 illustrates a schematic diagram of an information transmission method according to an embodiment of the present disclosure. The method, applied to a network device, includes the following steps:

[0093] S302, receiving first information sent by the terminal, wherein the first information is used to indicate whether the terminal meets the conditions for executing artificial intelligence functions.

[0094] The information transmission method provided in the embodiments of this disclosure receives first information sent by a terminal, wherein the first information is used to indicate whether the terminal meets the conditions for executing artificial intelligence functions. Addressing the question of whether the network can activate functions related to AI / ML models, the network in this disclosure receives first information sent by the terminal to indicate whether the terminal meets the conditions. This allows the network to promptly know whether the terminal meets the terminal-side conditions of the network-side AI / ML model, thereby determining the availability of functions based on the network AI / ML model and making correct function management decisions to avoid affecting network performance.

[0095] In some embodiments, the conditions for performing artificial intelligence functions include conditions for enabling Channel State Information (CSI) reporting configuration or conditions for using a model. That is, the first information is used to indicate whether the terminal meets either the conditions for enabling CSI reporting configuration or the conditions for using a model.

[0096] In some embodiments of this disclosure, the first information includes at least one of the following: RRC reconfiguration complete message; terminal assistance information; RRC establishment complete message; RRC reconstruction complete message; UCI; MAC CE. Specifically, in this embodiment, the RRC reconfiguration completion message confirms that the UE has successfully executed the RRC reconfiguration command sent by the network (e.g., a base station); terminal assistance information refers to UE AssistanceInformation messages or auxiliary data and / or status reports provided by the UE to the network (e.g., a base station). This information helps the network optimize resource allocation, improve service quality, and enhance user experience; the RRC establishment completion message signifies the completion of the RRC connection establishment process, confirming not only the successful access of the UE but also providing important context information to the network, triggering subsequent resource allocation and service processes; the RRC reconstruction completion message signifies the completion of the RRC connection reconstruction process, confirming not only the successful recovery of the UE but also providing important context information to the network, triggering subsequent resource allocation and service recovery processes; UCI is a type of important control information sent by the UE to the network (e.g., a base station) in a wireless communication system. UCI is mainly used to support data transmission and link management, ensuring the efficient operation of the communication system; MAC CE is used to provide specific control commands or status reports to support data transmission and link management.

[0097] It should be noted that, for terminals performing handover, or terminals in RRC connected state, or terminals where the network configures second information (conditions, and / or, CSI report configuration identifier, and / or, model identifier, and / or, identifier used to identify conditions) through RRC reconfiguration messages, the first information is the RRC reconfiguration completion message, UCI, or MAC CE; for terminals initiating reporting under pre-configured conditions, or terminals changing from not meeting conditions to meeting conditions, or terminals changing from not meeting conditions to meeting conditions, the first information is the UEAssistanceInformation; for terminals reconstructing RRC, the first information is the RRC reconstruction completion message; for terminals establishing RRC, the first information is the RRC establishment completion message.

[0098] In some embodiments, the first information in this disclosure is used to indicate at least one of the following: the terminal meets the condition; the terminal does not meet the condition; the terminal changes from meeting the condition to not meeting the condition; the terminal changes from not meeting the condition to meeting the condition.

[0099] In some embodiments, the conditions in this disclosure include one or more of the following: speed, reference signal received power threshold, reference signal received quality threshold, and signal-to-noise-interference ratio (SINR) threshold. Specifically, in this disclosure, speed refers to the speed at which the terminal moves; speed, RSRP threshold, RSRQ threshold, and SINR threshold are preset or network-configured thresholds; RSRQ considers not only the strength of the reference signal but also the effects of noise and interference; the SINR threshold refers to the ratio of the effective power of the received signal (i.e., the useful signal power) to the total power of noise and interference. A higher SINR indicates better signal quality, a lower bit error rate in the communication system, and a higher data transmission rate.

[0100] The conditions to be met include at least one of the following: the terminal's speed is less than or equal to the configured speed; the reference signal received power measured by the terminal is greater than or equal to the reference signal received power threshold configured by the network; the reference signal received quality of the terminal is greater than or equal to the reference signal received quality threshold configured by the network; and the signal-to-noise ratio (SNR) measured by the terminal is greater than or equal to the SNR threshold configured by the network. In some embodiments, since the model training server trains the model under specific conditions (e.g., the terminal speed meets a specific range, and / or the terminal measured RSRP meets a specific range, and / or the terminal measured RSRQ meets a specific range, and / or the terminal measured SINR meets a specific range), the terminal determines that the conditions are met (i.e., conditions for enabling CSI reporting configuration, conditions for performing artificial intelligence functions, or conditions for using the model) when the speed meets a specific range, and / or RSRP meets a specific range, and / or RSRQ meets a specific range, and / or SINR meets a specific range.

[0101] In some embodiments, if a terminal determines that its current moving speed is less than or equal to a configured speed threshold, it indicates that the terminal is not in a high-speed moving state. Terminals in a low-speed or stationary state are more likely to maintain a stable connection because high-speed movement may lead to frequent handovers and rapid changes in channel conditions, thereby affecting communication quality. It can be seen that when the terminal meets the above conditions, it indicates that the terminal is in a better communication environment and its moving speed is not high. It does not need to frequently handover from one cell to another, which helps to reduce the risk of handover failure. In this case, reporting the first information can help the network better understand the terminal's status so that the network can decide whether to execute the functions of the AI / ML model.

[0102] In some embodiments, if the reference signal received power measured by the terminal is greater than or equal to the reference signal received power threshold configured by the network, it indicates that the base station signal received by the terminal is strong, which usually means that the distance between the terminal and the serving cell is close or the wireless propagation environment is good, and the signal attenuation is small. Alternatively, if the reference signal received quality of the terminal is greater than or equal to the reference signal received quality threshold configured by the network, it indicates that the base station signal received by the terminal is strong, the noise and interference levels are low, and the signal quality is good, which is conducive to high-quality data transmission. In addition, if the signal-to-noise-interference ratio measured by the terminal is greater than or equal to the signal-to-noise-interference ratio threshold configured by the network, it indicates that the signal clarity measured by the terminal is high and the bit error rate is low. It can be seen that if the terminal meets at least one of the above conditions, reporting the first information can help the network better understand the terminal's status, so as to enable the network to decide whether to execute the AI / ML model function.

[0103] In some embodiments, pre-configuration can be understood as configurations, variables, parameters, or values ​​specified in the protocol. Pre-configuration can also be understood as pre-set settings, such as the default settings of the terminal at the factory or the default settings of the SIM card.

[0104] In some embodiments, the conditions in this disclosure are base station configuration and / or pre-configuration. Specifically, the conditions in this disclosure can be network-configured, with the terminal receiving and reporting the network configuration; or pre-configured (e.g., as specified in the protocol), with the terminal reporting according to the implementation. For example, the network sends conditions to the terminal via an RRC reconfiguration message, or the terminal obtains pre-configured conditions. More specifically, network configuration can be understood as the network management system or base station dynamically adjusting network parameters based on the current network conditions, user needs, or other factors, such as adjusting cell transmit power, handover thresholds, resource allocation strategies, etc.; pre-configuration can be understood as parameter values ​​pre-set when the device leaves the factory or during service initialization. These values ​​are usually set based on typical usage scenarios or standard specifications and can meet the needs in most cases to a certain extent. Pre-configuration can also be adjusted through software updates, but it generally does not change frequently. Using network configuration and / or pre-configuration combines the advantages of dynamic adjustment and static setting, enabling rapid response to rapidly changing network environments and maintaining basic functionality and service quality in the absence of immediate network intervention.

[0105] In some embodiments, the information transmission method in this disclosure further includes: sending second information, the second information including an identifier of a condition and / or at least one of the following: a CSI report configuration identifier; a model identifier; an identifier for identifying the condition. Specifically, the identifier in the second information can be the corresponding CSI report configuration ID and / or model identifier sent by the network to the terminal via RRC reconfiguration message, or a first identifier sent by the network to the terminal. The first identifier is used to identify the condition. The CSI report configuration ID enables the base station to identify which AI / ML-based air interface function the UE-side condition met by the terminal is for. The model identifier enables the base station to identify which AI / ML model and function the UE-side condition met by the terminal is for. By using a dedicated identifier (i.e., the first identifier) ​​to characterize the UE-side condition, if multiple AI / ML-based air interface functions or multiple AI / ML models need to meet the same UE-side condition, the same first identifier can be set for these AI / ML air interface functions or multiple AI / ML models. The first identifier corresponds to the UE-side condition. In this way, only one identifier is needed to instruct the terminal to report whether it meets the UE-side conditions of multiple AI / ML-based air interface functions or multiple AI / ML models, further reducing signaling overhead.

[0106] In some embodiments, the first information in this disclosure includes an identifier. Specifically, the base station sends a CSI report configuration identifier, a model identifier, and an identifier for identifying conditions to the terminal in advance. Subsequently, the terminal determines whether it meets the UE-side conditions and sends first information to the base station indicating whether the terminal meets the UE-side conditions. This first information includes the identifier. In this way, the terminal does not need to repeatedly report its speed, RSRP measurement value, SINR measurement value, etc., for the base station to determine whether the terminal meets the UE-side conditions. Instead, it only needs to send an identifier indicating whether the UE-side conditions are met or not. Based on this identifier, the network can quickly determine which AI / ML air interface functions or multiple AI / ML models are related to the indication that the terminal meets the UE-side conditions, and then decide which AI / ML air interface functions or multiple AI / ML models can be executed, saving signaling overhead.

[0107] In some embodiments, the identifiers in this disclosure include CSI report configuration identifiers, model identifiers, and identifiers for identifying conditions corresponding to all AI / ML models / functions deployed in the network. These identifiers are configured with corresponding UE-side conditions, and the terminal can report an indication of whether the conditions are met or not, as well as the identifier corresponding to the condition, according to the actual situation.

[0108] In some embodiments, the identifier in this disclosure includes an identifier for a network request. The network may request the terminal to report the satisfaction status of the UE-side conditions corresponding to the identifier of the network request on demand.

[0109] For example, when the network-side conditions required for an AI / ML-based air interface function or model are met (e.g., AI / ML-based beam management function, AI / ML-based spatial downlink beam prediction function, AI / ML-based temporal downlink beam prediction function), the network sends a request to the terminal, requesting the terminal to report whether the UE-side conditions corresponding to the network request identifier are met. The network request identifier includes one or more identifiers. The network only needs to send an identifier indicating whether the UE-side conditions are met to determine whether the terminal meets the UE-side conditions, thus saving signaling overhead. In some embodiments, the second information in this disclosure includes at least one of the following: RRC reconfiguration message; RRC establishment message; RRC reconstruction message; MAC CE. Specifically, RRC reconfiguration messages are used to instruct the UE to perform various configurations. By using RRC reconfiguration messages appropriately, the communication system can maintain high efficiency, stability, and reliability in complex and ever-changing environments. RRC establishment messages are used to respond to RRC connection requests initiated by the UE and allocate necessary resources to the UE to complete the connection establishment. RRC reconstruction messages are used to re-establish the RRC connection and restore communication services after a radio link failure or other abnormal situation. They provide the UE with the necessary configuration information to restore the connection and also ensure state synchronization between the base station and the UE, thereby guaranteeing service continuity and quality of service. MAC CE is used to provide specific control commands or status reports to support data transmission and link management.

[0110] In some embodiments of this disclosure, for terminals performing handover or terminals in RRC connection state, the network sends second information through RRC reconfiguration messages or MAC CE; for terminals reconstructing RRC, the network sends second information through RRC reconstruction messages; for terminals establishing RRC, the network sends second information through RRC establishment messages.

[0111] In some embodiments, as shown in Figure 4, in an AI / ML-based beam management scenario, taking the AI / ML model used for beam management as an example, the specific implementation process of the information transmission method in this disclosure embodiment includes:

[0112] S402, if the network-side conditions required by the AI / ML-based air interface function or model have been met (e.g., AI / ML-based beam management function, AI / ML-based spatial downlink beam prediction function, AI / ML-based temporal downlink beam prediction function), the base station sends the UE-side conditions and the corresponding CSI report configuration ID (or: model identifier) ​​to the terminal through an RRC reconfiguration message. The UE-side conditions include one or more of the following: speed, RSRP threshold, RSRQ threshold (or SINR threshold). The UE-side conditions are the UE-side conditions that the terminal needs to meet to enable the inference configuration corresponding to the CSI report configuration ID (i.e., characterizing a certain AI / ML-based air interface function, such as AI / ML-based beam management function, AI / ML-based spatial downlink beam prediction function, or AI / ML-based temporal downlink beam prediction function), or the UE-side conditions are the UE-side conditions that the terminal needs to meet using the model corresponding to the model identifier.

[0113] S404, the terminal determines whether the UE-side conditions are met (e.g., the terminal's speed meets the first range, the terminal's measured RSRP meets the second range, the terminal's measured RSRQ meets the third range, and the terminal's measured SINR meets the fourth range).

[0114] S406, the terminal sends an RRC reconfiguration complete message to the base station. If the terminal meets the UE-side conditions, it sends first information to the base station. The first information includes indication information indicating that the UE-side conditions are met and the corresponding CSI report configuration ID (or: model identifier). After receiving the information, the base station can determine that the AI / ML-based air interface function or model corresponding to the UE-side conditions is available. Otherwise, the first information includes indication information indicating that the UE-side conditions are not met and the corresponding CSI report configuration ID (or: model identifier). After receiving the information, the base station can determine that the AI / ML-based air interface function or model corresponding to the UE-side conditions is unavailable.

[0115] S408, the terminal determines whether the conditions on the UE side have changed.

[0116] S410, if the terminal has sent an indication message to the base station indicating that the UE-side conditions are met, and the terminal no longer meets the UE-side conditions, then the terminal sends a UEAssistanceInformation message to the base station. The UEAssistanceInformation message contains an indication message indicating that the UE-side conditions are not met, and the corresponding CSI report configuration ID (or: model identifier). Upon receiving this message, the base station can determine that the AI / ML-based air interface function or model corresponding to the UE-side conditions is no longer available. Alternatively, if the terminal has sent an indication message to the base station indicating that the UE-side conditions are not met, and the terminal meets the UE-side conditions, then the terminal sends a UEAssistanceInformation message to the base station. The UEAssistanceInformation message contains an indication message indicating that the UE-side conditions are met, and the corresponding CSI report configuration ID (or: model identifier). Upon receiving this message, the base station can determine whether the AI / ML-based air interface function or model corresponding to the UE-side conditions is available.

[0117] In some embodiments, as shown in Figure 5, in an AI / ML-based beam management scenario, taking an AI / ML model for beam management as an example, the specific implementation flow of the information transmission method in this disclosure embodiment includes:

[0118] S502, the base station sends UE-side conditions and a first identifier to the terminal. The first identifier is used to identify the identifier of the UE-side conditions. The UE-side conditions include one or more of the following: speed, RSRP threshold, RSRQ threshold (or SINR threshold). The base station may send one or more UE-side conditions and one or more first identifiers.

[0119] S504, determine that the base station has met the network-side conditions required for AI / ML-based air interface functions or models (e.g., AI / ML-based beam management function, AI / ML-based spatial downlink beam prediction function, AI / ML-based temporal downlink beam prediction function).

[0120] S506, the base station sends a request to the terminal to request the terminal to report whether the UE-side conditions corresponding to the first identifier are met. The request includes one or more first identifiers.

[0121] S508, determine whether the terminal meets the UE-side conditions, the terminal sends first information to the base station, the first information is used to indicate whether the UE-side conditions associated with the first identifier are met.

[0122] S510, if the terminal meets the UE-side conditions, the terminal sends first information to the base station. The first information indicates that the UE-side conditions associated with the first identifier are met. After receiving the information, the base station can determine that the AI / ML-based air interface function or model corresponding to the first identifier is available. If the terminal does not meet the UE-side conditions, the terminal sends first information to the base station. The first information indicates that the UE-side conditions associated with the first identifier are not met (or: only the first identifier corresponding to the UE-side conditions met by the terminal is sent). After receiving the information, the base station can determine that the AI / ML-based air interface function or model corresponding to the first identifier is unavailable.

[0123] S512, if the UE-side conditions met by the terminal change.

[0124] S514, the terminal sends a UEAssistanceInformation message to the base station to indicate that the UE-side conditions that the terminal meets have changed. The message includes a first identifier, which is used to identify UE-side conditions that the terminal previously met but no longer meets, or to identify UE-side conditions that the terminal previously did not meet but now meets. After receiving the message, the base station can determine that the availability of the AI / ML-based air interface function or model corresponding to the first identifier has changed.

[0125] Based on the same inventive concept, this disclosure also provides an information transmission device, as shown in the following embodiments. Since the principle by which this device embodiment solves the problem is similar to that of the above-described method embodiments, the implementation of this device embodiment can refer to the implementation of the above-described method embodiments, and repeated details will not be elaborated further.

[0126] Figure 6 shows a schematic diagram of an information transmission device according to an embodiment of the present disclosure. The device is applied to a terminal and includes:

[0127] The first information sending module 601 is used to send first information to the network, wherein the first information is used to indicate whether the terminal meets the conditions for performing artificial intelligence functions.

[0128] An information transmission device provided in the embodiments of this disclosure sends first information to the network through a first information sending module. The first information indicates whether a terminal meets the conditions for executing artificial intelligence functions. Compared to the issue of whether the network side can activate AI / ML model-related functions in related technologies, the embodiments of this disclosure allow the network side to promptly know whether the terminal meets the terminal-side conditions of the network-side AI / ML model by sending first information to the network indicating whether the terminal meets the conditions for executing artificial intelligence functions. This enables the network side to determine the availability of functions based on the network-side AI / ML model and make correct function management decisions to avoid affecting network performance.

[0129] In some embodiments, the first information sending module 601 is used to send first information to the network, wherein the first information is used to indicate whether the terminal meets the conditions of CSI report configuration and / or the conditions of using the model.

[0130] In some embodiments, sending first information to the network according to the present disclosure includes at least one of the following: sending first information to the network when the terminal meets the conditions; sending first information to the network when the terminal does not meet the conditions; sending first information to the network when the terminal changes from meeting the conditions to not meeting the conditions; and sending first information to the network when the terminal changes from not meeting the conditions to meeting the conditions.

[0131] In some embodiments of this disclosure, the first information includes at least one of the following: RRC reconfiguration complete message; terminal assistance information; RRC establishment complete message; RRC reconstruction complete message; UCI; MAC CE.

[0132] In some embodiments, the conditions in this disclosure include one or more of the following: speed, reference signal received power threshold, reference signal received quality threshold, and signal-to-noise ratio threshold.

[0133] In some embodiments, the conditions in this disclosure are network configuration and / or pre-configuration.

[0134] In some embodiments of the present disclosure, the information transmission device further includes: a second information receiving module, configured to receive second information, the second information including an identifier of a condition and / or at least one of the following: a CSI report configuration identifier; a model identifier; an identifier for identifying the condition.

[0135] In some embodiments of this disclosure, the first information includes an identifier.

[0136] In some embodiments, the identifier in this disclosure includes the identifier of a network request.

[0137] In some embodiments of this disclosure, the second information includes at least one of the following: an RRC reconfiguration message; an RRC establishment message; an RRC reconstruction message; and a MAC CE.

[0138] Figure 7 shows a schematic diagram of an information transmission device according to an embodiment of the present disclosure. The device is applied to a network device and includes:

[0139] The first information receiving module 701 is used to receive first information sent by the terminal, wherein the first information is used to indicate whether the terminal meets the conditions for executing artificial intelligence functions.

[0140] The information transmission device provided in the embodiments of this disclosure receives first information sent by a terminal through a first information receiving module. The first information indicates whether the terminal meets the conditions for executing artificial intelligence functions. Compared to the issue in related technologies regarding whether the network side can activate AI / ML model-related functions, the base station in this disclosure receives first information sent by the network to indicate whether the terminal meets the conditions. This allows the network side to promptly know whether the terminal meets the terminal-side conditions of the network-side AI / ML model, thereby determining the availability of functions based on the network-side AI / ML model and making correct function management decisions to avoid affecting network performance.

[0141] In some embodiments, the first information receiving module 701 is used to receive first information sent by the terminal, wherein the first information is used to indicate whether the terminal meets the conditions of CSI report configuration and / or the conditions of using the model.

[0142] In some embodiments of this disclosure, the first information includes at least one of the following: RRC reconfiguration complete message; terminal assistance information; RRC establishment complete message; RRC reconstruction complete message; UCI; MAC CE.

[0143] In some embodiments, the first information in this disclosure is used to indicate at least one of the following: the terminal meets the condition; the terminal does not meet the condition; the terminal changes from meeting the condition to not meeting the condition; the terminal changes from not meeting the condition to meeting the condition.

[0144] In some embodiments, the conditions in this disclosure include one or more of the following: speed, reference signal received power threshold, reference signal received quality threshold, and signal-to-noise ratio threshold.

[0145] In some embodiments, the conditions in this disclosure are base station configuration and / or pre-configuration.

[0146] In some embodiments of the present disclosure, the information transmission device further includes: a second information sending module, configured to send second information, the second information including an identifier of a condition and / or at least one of the following: a CSI report configuration identifier; a model identifier; an identifier for identifying the condition.

[0147] In some embodiments of this disclosure, the first information includes an identifier.

[0148] In some embodiments, the identifier in this disclosure includes the identifier of a network request.

[0149] In some embodiments of this disclosure, the second information includes at least one of the following: an RRC reconfiguration message; an RRC establishment message; an RRC reconstruction message; and a MAC CE.

[0150] Those skilled in the art will understand that various aspects of this disclosure can be implemented as a system, method, or program product. Therefore, various aspects of this disclosure can be specifically implemented in the following forms: a completely hardware implementation, a completely software implementation (including firmware, microcode, etc.), or a combination of hardware and software aspects, collectively referred to herein as a "circuit," "module," or "system."

[0151] Based on the same inventive concept, this disclosure also provides an electronic device, which includes: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the information transmission method described above by executing the executable instructions. Since the principle by which this electronic device solves the problem is similar to that of the above method embodiments, the implementation of this electronic device embodiment can refer to the implementation of the above method embodiments, and repeated details will not be described again.

[0152] The electronic device 800 according to this embodiment of the present disclosure will now be described with reference to FIG8. The electronic device 800 shown in FIG8 is merely an example and should not be construed as limiting the functionality and scope of the embodiments of the present disclosure.

[0153] As shown in Figure 8, the electronic device 800 is presented in the form of a general-purpose computing device. The components of the electronic device 800 may include, but are not limited to: at least one processing unit 801, at least one storage unit 802, and a bus 803 connecting different system components (including storage unit 802 and processing unit 801).

[0154] The storage unit stores program code, which can be executed by the processing unit 801, causing the processing unit 801 to perform the steps described in the "Exemplary Methods" section above according to various exemplary embodiments of this disclosure.

[0155] In some embodiments, when an electronic device is used to control, for example, the information transmission method described in this disclosure, the processing unit 801 may execute the following steps of the method embodiments described above:

[0156] Send a first message to the network, wherein the first message is used to indicate whether the terminal meets the conditions for performing artificial intelligence functions.

[0157] Storage unit 802 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 8021 and / or a cache memory unit 8022, and may further include a read-only memory unit (ROM) 8023.

[0158] Storage unit 802 may also include a program / utility 8024 having a set (at least one) program module 8025, such program module 8025 including but not limited to: operating system, one or more application programs, other program modules and program data, each or some combination of these examples may include an implementation of a network environment.

[0159] Bus 803 can represent one or more of several types of bus structures, including a memory cell bus or memory cell controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local bus using any of the various bus structures.

[0160] Electronic device 800 can also communicate with one or more external devices 804 (e.g., keyboard, pointing device, Bluetooth device, etc.), and with one or more devices that enable a user to interact with electronic device 800, and / or with any device that enables electronic device 800 to communicate with one or more other computing devices (e.g., router, modem, etc.). This communication can be performed via input / output (I / O) interface 805. Furthermore, electronic device 800 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 806. As shown, network adapter 806 communicates with other modules of electronic device 800 via bus 803. It should be understood that, although not shown in the figures, other hardware and / or software modules can be used in conjunction with electronic device 800, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0161] From the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, terminal device, or network device, etc.) to execute the methods according to the embodiments of this disclosure.

[0162] Based on the same inventive concept, this disclosure also provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements any of the above-described information transmission methods. Since the principle by which this computer-readable storage medium embodiment solves the problem is similar to that of the above-described method embodiments, the implementation of this computer-readable storage medium embodiment can refer to the implementation of the above-described method embodiments, and repeated details will not be elaborated further.

[0163] More specific examples of computer-readable storage media in this disclosure may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0164] In this disclosure, a computer-readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, carrying readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A readable signal medium may also be any readable medium other than a readable storage medium, capable of transmitting, propagating, or transmitting a program for use by or in connection with an instruction execution system, apparatus, or device.

[0165] Optionally, the program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof.

[0166] In practical implementation, program code for performing the operations of this disclosure can be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java and C++, and conventional procedural programming languages ​​such as C or similar languages. The program code can execute entirely on the user's computing device, partially on the user's computing device, as a standalone software package, partially on the user's computing device and partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0167] Based on the same inventive concept, this disclosure also provides a computer program product, including a computer program or instructions, which, when executed by a processor, implements any one of the information transmission methods described in the above method embodiments. Since the principle by which this computer program product embodiment solves the problem is similar to that of the above method embodiments, the implementation of this computer program product embodiment can refer to the implementation of the above method embodiments, and repeated details will not be elaborated further.

[0168] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to embodiments of this disclosure, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0169] Furthermore, although the steps of the method in this disclosure are described in a specific order in the accompanying drawings, this does not require or imply that the steps must be performed in that specific order, or that all the steps shown must be performed to achieve the desired result. Additional or alternative steps may be omitted, multiple steps may be combined into one step, and / or a step may be broken down into multiple steps.

[0170] From the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, mobile terminal, or network device, etc.) to execute the methods according to the embodiments of this disclosure.

[0171] 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 appended claims.

Claims

An information transmission method, applied to a terminal, includes: Send first information to the network, wherein the first information is used to indicate whether the terminal meets the conditions for performing artificial intelligence functions. The information transmission method according to claim 1, wherein Conditions for performing artificial intelligence functions include enabling Channel State Information (CSI) reporting configuration conditions or using model conditions. The information transmission method according to claim 1, wherein Sending the first information to the network includes at least one of the following: When the terminal meets the conditions, it sends the first information to the network; If the terminal does not meet the conditions, it sends first information to the network; When the terminal changes from meeting the condition to not meeting the condition, it sends first information to the network; When the terminal changes from not meeting the condition to meeting the condition, it sends the first information to the network. The information transmission method according to claim 1, wherein The first information includes at least one of the following: Radio Resource Control (RRC) reconfiguration complete message; Terminal auxiliary information; RRC setup complete message; RRC reconstruction complete message; Uplink Control Information (UCI); Media Access Control (MAC) CE element. The information transmission method according to claim 1, wherein The conditions include one or more of the following: speed, reference signal received power threshold, reference signal received quality threshold, and signal-to-noise ratio threshold. The information transmission method according to claim 5, wherein The conditions are the network configuration and / or pre-configuration. The information transmission method according to any one of claims 1-6, wherein The method further includes: receiving second information, the second information including the condition and / or an identifier of at least one of the following: CSI report configuration identifier; Model identifier; An identifier used to identify the conditions. The information transmission method according to claim 7, wherein The first information includes the identifier. The information transmission method according to claim 7, wherein The identifier includes the identifier of the network request. The information transmission method according to claim 7, wherein The second information includes at least one of the following: RRC reconfiguration message; RRC establishes a message; RRC reconstruction message; MAC CE. An information transmission method, applied to a network device, includes: The receiving terminal sends first information, wherein the first information is used to indicate whether the terminal meets the conditions for performing artificial intelligence functions. The information transmission method according to claim 11, wherein Conditions for performing artificial intelligence functions include enabling Channel State Information (CSI) reporting configuration conditions or using model conditions. The information transmission method according to claim 11, wherein The first information includes at least one of the following: RRC reconfiguration complete message; Terminal auxiliary information; RRC setup complete message; RRC reconstruction complete message; UCI; MAC CE. The information transmission method according to claim 11, wherein The first information is used to indicate at least one of the following: The terminal satisfies the conditions; The terminal does not meet the conditions; The terminal changes from meeting the condition to not meeting the condition; The terminal changes from not meeting the condition to meeting the condition. The information transmission method according to claim 11, wherein The conditions include one or more of the following: speed, reference signal received power threshold, reference signal received quality threshold, and signal-to-noise ratio threshold. The information transmission method according to claim 14, wherein The conditions are the base station configuration and / or pre-configuration. The information transmission method according to any one of claims 11-15, wherein The method further includes: sending second information, the second information including the condition and / or an identifier of at least one of the following: CSI report configuration identifier; Model identifier; An identifier used to identify the conditions. The information transmission method according to claim 17, wherein The first information includes the identifier. The information transmission method according to claim 17, wherein The identifier includes the identifier of the network request. The information transmission method according to claim 17, wherein The second information includes at least one of the following: RRC reconfiguration message; RRC establishes a message; RRC reconstruction message; MAC CE. An information transmission device, applied to a terminal, includes: The first information sending module is used to send first information to the network, wherein the first information is used to indicate whether the terminal meets the conditions for performing artificial intelligence functions. An information transmission device, applied to network equipment, includes: The first information receiving module is used to receive first information sent by the terminal, wherein the first information is used to indicate whether the terminal meets the conditions for performing artificial intelligence functions. An electronic device, comprising: processor; as well as Memory for storing the executable instructions of the processor; The processor is configured to execute the information transmission method according to any one of claims 1 to 20 by executing the executable instructions. A computer-readable storage medium having stored thereon a computer program, wherein, When the computer program is executed by the processor, it implements the information transmission method according to any one of claims 1 to 20. A computer program product comprising: A computer program or instructions, wherein when executed by a processor, the computer program or instructions implement the information transmission method according to any one of claims 1 to 20.

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