Method for sending configuration information, method for receiving configuration information, terminals, apparatus, system and storage medium

Abstract

The present disclosure relates to a method for sending configuration information, a method for receiving configuration information, terminals, an apparatus, a system and a storage medium. The method for receiving configuration information comprises: receiving configuration information sent by a network device, the configuration information being used for indicating, when a serving cell of a terminal changes from a first cell to a second cell, whether the terminal deletes a stored model or data, and the network device corresponding to the first cell or the second cell. In the method of present disclosure, the terminal receives the configuration information to acquire a data processing mode indicated by the network device, such that when the serving cell changes, the terminal can process the stored data or model on the basis of the configuration information, thus saving the storage space, or facilitating subsequent repeated utilization of the data.

Description

Method, terminal, device, system and storage medium for sending and receiving configuration information Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular to a method, terminal, device, system, and storage medium for sending and receiving configuration information. Background Art

[0002] Artificial intelligence (AI) technology can be applied across a wide range of technological fields. Machine learning algorithms are one of the most important AI implementation methods. Machine learning uses large amounts of training data to generate models that can be used to accurately predict events. In wireless communication networks, AI can be applied for prediction and reasoning, improving communication system performance.

[0003] Summary of the Invention

[0004] In wireless communication systems that apply AI technology, terminals may collect or store large amounts of data, and the problem of how to process this data needs to be solved.

[0005] Embodiments of the present disclosure provide a method, terminal, device, system, and storage medium for sending and receiving configuration information.

[0006] In a first aspect, an embodiment of the present disclosure provides a method for receiving configuration information, performed by a terminal, the method comprising:

[0007] Receive configuration information sent by the network device, where the configuration information is used to indicate whether the terminal deletes the stored model or data when the service cell of the terminal changes from the first cell to the second cell, and the network device corresponds to the first cell or the second cell.

[0008] In a second aspect, an embodiment of the present disclosure provides a method for sending configuration information, which is performed by a network device, and the method includes:

[0009] Configuration information is sent to the terminal, where the configuration information is used to indicate whether the terminal deletes the stored model or data when the service cell of the terminal changes from the first cell to the second cell, and the network device corresponds to the first cell or the second cell.

[0010] In a third aspect, an embodiment of the present disclosure provides a terminal, including:

[0011] The transceiver module is used to receive configuration information sent by the network device, and the configuration information is used to indicate whether the terminal deletes the stored model or data when the service cell of the terminal changes from the first cell to the second cell. The network device corresponds to the first cell or the second cell.

[0012] In a fourth aspect, an embodiment of the present disclosure provides a network device, including:

[0013] The transceiver module is used to send configuration information to the terminal, where the configuration information is used to indicate whether the terminal deletes the stored model or data when the service cell of the terminal changes from the first cell to the second cell, and the network device corresponds to the first cell or the second cell.

[0014] In a fifth aspect, an embodiment of the present disclosure provides a terminal, including:

[0015] one or more processors;

[0016] The terminal is used to execute the method described in the first aspect.

[0017] In a sixth aspect, an embodiment of the present disclosure provides a network device, including:

[0018] one or more processors;

[0019] The network device is used to execute the method described in the second aspect.

[0020] In a seventh aspect, an embodiment of the present disclosure provides a communication system, including a terminal and a network device, wherein:

[0021] The terminal is configured to implement the method according to the first aspect;

[0022] The network device is configured to implement the method described in the second aspect.

[0023] In an eighth aspect, an embodiment of the present disclosure provides a storage medium, wherein the storage medium stores instructions, wherein:

[0024] When the instruction is executed on a communication device, the communication device is caused to execute the method according to the first aspect or the second aspect.

[0025] In an embodiment of the present disclosure, the terminal receives configuration information to learn the data processing method indicated by the network device, so that when the service cell changes, the terminal can process the stored data or model based on the configuration information, saving storage space or facilitating subsequent reuse of data. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0027] FIG1 is an exemplary schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure;

[0028] 2a to 2b are exemplary interaction diagrams of a method according to an embodiment of the present disclosure;

[0029] 3a to 3c are exemplary flowcharts of a method according to an embodiment of the present disclosure;

[0030] 4a to 4b are exemplary flowcharts of a method according to an embodiment of the present disclosure;

[0031] FIG5a is a schematic structural diagram of a terminal according to an embodiment of the present disclosure;

[0032] FIG5b is a schematic structural diagram of a network device according to an embodiment of the present disclosure;

[0033] FIG6a is a schematic diagram of a communication device according to an embodiment of the present disclosure;

[0034] FIG6 b is a schematic diagram of a communication device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0035] Embodiments of the present disclosure provide a method, terminal, device, system, and storage medium for sending and receiving configuration information.

[0036] In a first aspect, an embodiment of the present disclosure provides a method for receiving configuration information, performed by a terminal, the method comprising:

[0037] Receive configuration information sent by the network device, where the configuration information is used to indicate whether the terminal deletes the stored model or data when the service cell of the terminal changes from the first cell to the second cell, and the network device corresponds to the first cell or the second cell.

[0038] In the above embodiment, the terminal receives configuration information to learn the data processing method indicated by the network device, so that when the service cell changes, the terminal can process the stored data or model based on the configuration information, saving storage space or facilitating subsequent reuse of data.

[0039] In conjunction with the embodiments of the first aspect, in some embodiments, the configuration information includes an area, and the method further includes:

[0040] The terminal determines whether to delete the model or data according to whether the first cell or the second cell is within the area.

[0041] In the above embodiment, the terminal measures whether the service cell belongs to the area based on the area indicated by the network device, so that models or data that are no longer applicable can be deleted in time to increase storage space; or valid or applicable models or data can be retained to improve the efficiency of data utilization.

[0042] In combination with the embodiments of the first aspect, in some embodiments, the area is represented by a cell list, or the area is represented by a geographical location range.

[0043] In the above embodiments, the area may be indicated in different ways to enhance the flexibility of the terminal in evaluating the serving cell.

[0044] In conjunction with the embodiments of the first aspect, in some embodiments, the method further includes:

[0045] When the terminal leaves the radio control resource RRC connected state, storing the configuration information;

[0046] The configuration information is sent via an RRC release message or an RRC reconfiguration message.

[0047] In the above embodiment, the terminal can store the configuration information in a timely manner, so that after leaving the RRC connection state, it can still effectively determine whether the data needs to be saved based on the configuration information, thereby improving the timeliness of data processing.

[0048] In combination with the embodiments of the first aspect, in some embodiments, the configuration information includes an indication bit for indicating whether to delete.

[0049] In the above embodiment, the configuration information sent by the network device can explicitly instruct the terminal to save the model or data, or delete the model or data through the indication bit, so that the terminal can perform corresponding data processing in a timely manner.

[0050] In conjunction with the embodiments of the first aspect, in some embodiments, the configuration information includes at least one of the following:

[0051] Artificial intelligence AI models;

[0052] AI capabilities;

[0053] AI application scenarios;

[0054] AI application conditions;

[0055] Among them, at least one of the AI ​​model, AI function, AI application scenario or AI application condition has a corresponding relationship with the model data.

[0056] In the above embodiment, the terminal can also obtain AI models, functions, application scenarios or application conditions directly related to data processing based on the configuration information, thereby clearly instructing the terminal which part of the data to process.

[0057] In conjunction with the embodiments of the first aspect, in some embodiments, the method further includes:

[0058] The terminal saves the model or data corresponding to the configuration information, or the terminal deletes the model or the data corresponding to the configuration information.

[0059] In the above embodiment, the terminal processes a specific model or data based on the instructions of the configuration information, so that the relevant data can be deleted or saved in time, which is convenient for saving storage space under the premise of not applying the model.

[0060] In conjunction with the embodiments of the first aspect, in some embodiments, the configuration information includes at least one of the following:

[0061] AI models supported by the first cell or the second cell;

[0062] AI functions supported by the first cell or the second cell;

[0063] Data Collection Information.

[0064] In the above embodiment, the configuration information can implicitly indicate the data processing method to the terminal by configuring the above information.

[0065] In conjunction with the embodiments of the first aspect, in some embodiments, the method further includes:

[0066] When the configuration information includes data collection information, the terminal saves the model or data; or,

[0067] When the configuration information includes supported AI models or supported AI functions, the terminal saves the model or data corresponding to the supported AI model or AI function.

[0068] In the above embodiment, the terminal will save the required data in a timely manner based on the content of the configuration information to reasonably apply the relevant model or function.

[0069] In combination with the embodiments of the first aspect, in some embodiments, the configuration information is sent via system information (SI).

[0070] In the above embodiment, the terminal can obtain the configuration information contained in the SI while monitoring the SI, so as to obtain the data processing method in a timely manner.

[0071] In combination with the embodiments of the first aspect, in some embodiments, the data is used in the training phase of the AI ​​model.

[0072] In the above embodiment, the data deleted or saved by the terminal is used in the training phase, so that when the serving cell changes, the terminal can process the training data in a timely manner, such as deleting inappropriate training data in a timely manner to save space, or saving applicable data to save the data collection process.

[0073] In combination with the embodiments of the first aspect, in some embodiments, the change of the serving cell is determined according to cell reselection or cell handover.

[0074] In the above embodiment, the terminal may determine whether the serving cell has changed based on cell reselection or cell handover, so that the model or data can be saved or deleted in a timely manner.

[0075] In a second aspect, an embodiment of the present disclosure provides a method for sending configuration information, which is performed by a network device, and the method includes:

[0076] Configuration information is sent to the terminal, where the configuration information is used to indicate whether the terminal deletes the stored model or data when the service cell of the terminal changes from the first cell to the second cell, and the network device corresponds to the first cell or the second cell.

[0077] In conjunction with the embodiments of the second aspect, in some embodiments, the configuration information includes an area.

[0078] In combination with the embodiments of the second aspect, in some embodiments, the area is represented by a cell list, or the area is represented by a geographical location range.

[0079] In combination with the embodiments of the second aspect, in some embodiments, the configuration information is sent via an RRC release message or an RRC reconfiguration message.

[0080] In combination with the embodiments of the second aspect, in some embodiments, the configuration information includes an indication bit for indicating whether to delete.

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

[0082] AI models;

[0083] AI capabilities;

[0084] AI application scenarios;

[0085] AI application conditions;

[0086] Among them, at least one of the AI ​​model, AI function, AI application scenario or AI application condition has a corresponding relationship with the data.

[0087] In conjunction with the embodiments of the second aspect, in some embodiments, the configuration information includes at least one of the following:

[0088] AI models supported by the first cell or the second cell;

[0089] an AI function supported by the first cell or the second cell;

[0090] Data Collection Information.

[0091] In combination with the embodiments of the second aspect, in some embodiments, the configuration information is sent via SI.

[0092] In conjunction with the embodiments of the second aspect, in some embodiments, the data is used in the training phase of the AI ​​model.

[0093] In combination with the embodiments of the second aspect, in some embodiments, the change of the serving cell is determined according to cell reselection or cell handover.

[0094] In a third aspect, an embodiment of the present disclosure provides a terminal, including:

[0095] The transceiver module is used to receive configuration information sent by the network device, and the configuration information is used to indicate whether the terminal deletes the stored model or data when the service cell of the terminal changes from the first cell to the second cell. The network device corresponds to the first cell or the second cell.

[0096] In a fourth aspect, an embodiment of the present disclosure provides a network device, including:

[0097] The transceiver module is used to send configuration information to the terminal, where the configuration information is used to indicate whether the terminal deletes the stored model or data when the service cell of the terminal changes from the first cell to the second cell, and the network device corresponds to the first cell or the second cell.

[0098] In a fifth aspect, an embodiment of the present disclosure provides a terminal, including:

[0099] one or more processors;

[0100] The terminal is used to execute the method described in the first aspect.

[0101] In a sixth aspect, an embodiment of the present disclosure provides a network device, including:

[0102] one or more processors;

[0103] The network device is used to execute the method described in the second aspect.

[0104] In a seventh aspect, an embodiment of the present disclosure provides a communication system, including a terminal and a network device, wherein:

[0105] The terminal is configured to implement the method according to the first aspect;

[0106] The network device is configured to implement the method described in the second aspect.

[0107] In an eighth aspect, an embodiment of the present disclosure provides a storage medium, wherein the storage medium stores instructions, wherein:

[0108] When the instruction is executed on a communication device, the communication device is caused to execute the method according to the first aspect or the second aspect.

[0109] In a ninth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method described in the optional implementation of the first and second aspects.

[0110] In a tenth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first and second aspects.

[0111] In an eleventh aspect, an embodiment of the present disclosure provides a chip or a chip system, wherein the chip or chip system includes a processing circuit configured to execute the method described in the optional implementation of the first and second aspects above.

[0112] It is understandable that the above-mentioned terminals, network devices, communication systems, storage media, program products, computer programs, chips, or chip systems are all used to perform the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

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

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

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

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

[0117] In the embodiments of the present disclosure, “plurality” refers to two or more.

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

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

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

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

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

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

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

[0125] In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

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

[0127] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments may also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or reception point (TRP)" "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)", etc.

[0128] In some embodiments, "terminal" or "terminal device" may be referred to as "user equipment (UE)", "user terminal" "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc.

[0129] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0130] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0131] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0132] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0133] As shown in FIG1 , a communication system 100 includes a terminal 101 and a network device 102 .

[0134] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0135] In some embodiments, when the network device 102 is a network device, the network device may include at least one of an access network device and a core network device.

[0136] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a wireless fidelity (WiFi) system, but is not limited thereto.

[0137] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0138] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0139] In some embodiments, the core network device can be a device including one or more network elements, or it can be multiple devices or device groups, each including all or part of one or more network elements. The network element can be virtual or physical. The core network includes, for example, at least one of the Evolved Packet Core (EPC), the 5G Core Network (5GCN), and the Next Generation Core (NGC). Alternatively, the core network device refers to a network element with a specific function, such as the Access Management Function (AMF), the Service Management Function (SMF), etc.

[0140] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution provided by the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution provided by the embodiment of the present disclosure is also applicable to similar technical problems.

[0141] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG. 1 , or a part of the main body thereof, but are not limited thereto.

[0142] The entities shown in Figure 1 are examples. The communication system may include all or part of the entities in Figure 1, and may also include other entities outside of Figure 1. The number and form of the entities are arbitrary. The connection relationship between the entities is an example. The entities may be connected or disconnected, and the connection may be in any manner, which may be direct or indirect, and may be wired or wireless.

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

[0144] In the embodiments of the present disclosure, in an AI-based wireless communication system, training the AI ​​model requires collecting a large amount of data. For terminal 101, when moving from one cell to another, if data related to the original cell is still stored, it is necessary to solve the problem of how to process this data.

[0145] Figure 2a is an interactive diagram of a method for receiving and sending configuration information according to an embodiment of the present disclosure. As shown in Figure 2a, an embodiment of the present disclosure relates to a method for receiving and sending configuration information, the method comprising:

[0146] In step S2101 , the network device 102 sends configuration information to the terminal 101 .

[0147] Optionally, the network device 102 may be a network device corresponding to a service cell where the terminal 101 is located.

[0148] In one example, when a serving cell changes, the source serving cell before the change is referred to as the first cell, and the target serving cell after the change is referred to as the second cell. Network device 102 may be a network device corresponding to the first cell, or a network device corresponding to the second cell. Optionally, the terms "first cell" and "second cell" are used only to distinguish the serving cells before and after the change in name, and do not limit specific cells.

[0149] In this example, when network device 102 is the network device corresponding to the first cell, network device 102 sends the above configuration information before terminal 101 switches to the second cell. When network device 102 is the network device corresponding to the second cell, network device 102 sends the above configuration information after terminal 101 switches to the second cell.

[0150] Optionally, the configuration information is used to indicate whether the terminal 101 deletes the stored model or data when the serving cell of the terminal changes from the first cell to the second cell. Whether the terminal 101 deletes the stored model or data includes: deleting the stored model or data, or continuing to save the stored model or data. Furthermore, whether the terminal 101 deletes the stored model or data includes at least one of the following: the terminal 101 saves the stored model, the terminal 101 saves the stored data, the terminal 101 deletes the stored model, and the terminal 101 deletes the stored data.

[0151] In some embodiments, the stored model may be an AI technology-based model or an AI model for short.

[0152] In some embodiments, the stored data is used in the training phase of the AI ​​model. The stored data may be acquired before switching to the second cell, for example, acquired and stored while under the coverage of the first cell.

[0153] In one example, the configuration information may be used to instruct the terminal 101 to save or delete all stored data.

[0154] In another example, the configuration information indicates that the saved or deleted data has a binding relationship or mapping relationship with the AI ​​model, AI function, AI application scenario or AI application condition. Please refer to the description of the following embodiments.

[0155] In some embodiments, the configuration information includes at least one of the following:

[0156] AI models;

[0157] AI capabilities;

[0158] AI application scenarios;

[0159] AI application conditions;

[0160] Among them, at least one of the AI ​​model, AI functionality, AI application scenario or AI application condition has a corresponding relationship with the data.

[0161] Optionally, AI models, AI functions, AI application scenarios or AI application conditions can be distinguished by corresponding identifiers, and the configuration information can include the corresponding identifier to instruct the terminal 101 to process the stored data associated with the identifier.

[0162] Optionally, there is an association relationship between the AI ​​model and the AI ​​function, such as an AI function is a collection of AI models that can be used for a specific function.

[0163] Optionally, there is an association relationship between the AI ​​model and the AI ​​application scenario, such as the AI ​​application scenario includes one or more AI models, or the AI ​​application includes one or more AI functions.

[0164] Optionally, the association or correspondence between the AI ​​model, AI function and AI application scenario can be configured by the network device 102, or determined by the terminal 101 itself and reported to the network device 102.

[0165] Optionally, the AI ​​application scenario may include at least one of the following: beam management, beam measurement, channel state information (CSI) reporting, CSI compression, positioning, switching, mobility management, wireless resource management and other mobile communication system processes.

[0166] During AI-based beam management, terminal 101 can reduce the number of measured beams. Terminal 101 or network device 102 then uses AI inference to determine the optimal beam. Beam prediction in beam management includes spatial and time-domain beam prediction. In spatial beam prediction, terminal 101 measures a small number of beams and predicts the measurement results of other beams. In time-domain beam prediction, terminal 101 predicts future beam measurement results based on historical beam measurement results.

[0167] During AI-based CSI reporting, terminal 101 can perform CSI compression based on an AI model, compress the CSI measurement results using AI, and report the compressed CSI measurement results to network device 102. After receiving the CSI measurement results, network device 102 restores the original CSI measurement results using the AI ​​model. The AI-based CSI reporting process reduces the number of signaling bits required during the reporting process. Network device 102 can also predict future CSI based on historical CSI measurement results reported by terminal 101.

[0168] In the AI-based positioning process, the terminal 101 can predict the precise location based on limited measurement results.

[0169] In the AI-based mobility process, the terminal 101 can predict the handover target cell or mobility event.

[0170] Optionally, the training phase of the AI ​​model requires collecting a large amount of data, and different application scenarios require different data.

[0171] In some examples, the terminal determines whether to use deleted data for model training. This data has different meanings in different application scenarios:

[0172] For example, when the AI ​​application scenario is beam management, the data or the data in the training phase may include at least one of the following: beam measurement results, beam identification, the strongest K beam measurement results and beam identification, and the time of obtaining the beam measurement results; wherein the measured beam can be a network configuration.

[0173] For another example, when the AI ​​application scenario is CSI compression, the data or the data in the training phase may include CSI measurement results and the time when the CSI measurement results are obtained.

[0174] For example, in the AI ​​application scenario of positioning, the data or the data in the training phase may include the channel impulse response measurement results, the location information of the terminal 101, and the measurement results of the positioning reference signal (PRS).

[0175] For example, in the AI ​​application scenario of mobility management, the data or the data in the training phase may include at least one of the following: measurement results of the serving cell, measurement results of the target cell, time, location of terminal 101, source cell, target cell, etc.

[0176] Optionally, if the AI ​​model training is located on the network side, the terminal 101 needs to report the collected data to the network device 102. To avoid frequent reporting of collected data, the terminal 101 can store the collected data multiple times locally and report all the stored data to the network device 102 in one report.

[0177] Optionally, the AI ​​model or AI function can achieve better performance under specific AI application conditions. The AI ​​application conditions may include network-side conditions and terminal-side conditions.

[0178] The terminal-side conditions may include at least one of the following:

[0179] Terminal velocity;

[0180] Terminal power;

[0181] Terminal operating power;

[0182] Terminal computing power, such as floating-point operations per second (FLOPs);

[0183] The location of the terminal, which may be a geographical location or a location within a cell;

[0184] Service type, such as audio, video, multimedia, voice, etc.;

[0185] Antenna configuration, including number of ports;

[0186] Rotation speed.

[0187] The network-side conditions may include at least one of the following:

[0188] Cell type, such as macro, micro, or dense urban;

[0189] Network deployment scenarios, such as indoor or outdoor;

[0190] Wireless channel quality, which can be determined by considering the reference signal received power (RSRP), reference signal received quality (RSRQ), or signal to interference plus noise ratio (SINR);

[0191] The frequency of the cell;

[0192] The location of the cell;

[0193] Distance between base stations;

[0194] Antenna configuration, including the number of ports and the number of Multiple Input Multiple Output (MIMO) layers;

[0195] Transmit power;

[0196] Numerology, including subcarrier spacing.

[0197] In one example, when the configuration information includes an AI model, AI function, AI application scenario or AI application condition, such as including an identifier corresponding to any of the above items, the terminal 101 saves the stored model or data corresponding to the configuration information, that is, the model or data associated with the identifier; or deletes the stored model or data corresponding to the configuration information, that is, the model or data associated with the identifier.

[0198] In this example, the network device 102 may send the configuration information via the SI. For example, the terminal 101 obtains the configuration information by reading the system information of the modified serving cell, ie, the second cell.

[0199] In some embodiments, the configuration information includes an indication bit for indicating whether to delete.

[0200] Optionally, the indicator bit may occupy 1 bit.

[0201] For example, when the value of this 1 bit is 1, it indicates that the terminal 101 saves the stored model or data; or, when the identifier of a certain model, function, application scenario or application condition is indicated in the configuration information, the value of this 1 bit is 1, which indicates that the terminal 101 saves the stored model or data associated with the identifier.

[0202] For another example, when the value of this 1 bit is 0, it instructs the terminal 101 to delete the stored model or data; or, when the identifier of a certain model, function, application scenario or application condition is indicated in the configuration information, the value of this 1 bit is 0, which instructs the terminal 101 to delete the stored model or data associated with the identifier.

[0203] In some embodiments, terminal 101 receives the configuration information.

[0204] In step S2102, the terminal 101 determines whether to delete the model or data.

[0205] Optionally, step S2102 may be performed when the serving cell where the terminal 101 is located changes, such as when the serving cell changes from the first cell to the second cell.

[0206] Optionally, the change of the serving cell is determined according to cell reselection or cell handover. For example, after the terminal 101 performs cell reselection, the serving cell will change; or after the terminal 101 performs cell handover, the serving cell will change.

[0207] In some embodiments, if the configuration information includes the above-mentioned indicator bit, terminal 101 may determine whether to save or delete the stored data based on the value of the indicator bit. For example, when the value of the indicator bit is 1, terminal 101 saves the stored model or data; for another example, when the value of the indicator bit is 0, terminal 101 deletes the stored model or data.

[0208] In some embodiments, the configuration information may include a model, function, application scenario or application condition, such as an identifier of at least one of them. Optionally, the terminal deletes the model or data corresponding to the configuration information, or saves the model or data corresponding to the configuration information.

[0209] In one example, the terminal 101 saves the data associated with the identifier, and the terminal 101 may delete other data.

[0210] In another example, the terminal 101 may save or delete the stored model or data associated with the identifier based on the value of the indicator bit. For example, when the configuration information indicates an identifier of a certain model, function, application scenario, or application condition, the terminal 101 saves the stored model or data associated with the identifier when the indicator bit value is 1; for another example, when the configuration information indicates an identifier of a certain model, function, application scenario, or application condition, the terminal 101 deletes the stored model or data associated with the identifier when the indicator bit value is 0.

[0211] In some embodiments, the configuration information includes a region, and step S2102 may include the following steps S2102-1:

[0212] In step S2102-1, the terminal 101 determines whether to delete the model or data according to whether the first cell or the second cell is within the area.

[0213] Optionally, the name of the area is for illustration only, and may also be called a first area, used to indicate a cell range, a geographical range, or a coordinate range.

[0214] Optionally, the area is represented by a cell list, or the area is represented by a geographical location range.

[0215] When the reference area is represented by a cell list, terminal 101 can determine whether to save the model or data based on whether the serving cell belongs to the cell list. For example, if the serving cell belongs to the cell list, terminal 101 saves the stored data; if the serving cell does not belong to the cell list, terminal 101 deletes the stored data. When the reference area is represented by a geographic range, terminal 101 can determine whether to save the model or data based on whether the serving cell belongs to the range. For example, if the serving cell belongs to the range, terminal 101 saves the stored data; if the serving cell does not belong to the range, terminal 101 deletes the stored data.

[0216] Optionally, when the terminal 101 determines the relationship between the serving cell and the area, the serving cell may be the first cell or the second cell.

[0217] For example, when the area of ​​the configuration information is used to indicate a list of cells with higher priority, a first cell may be determined. If the first cell belongs to the list of cells with higher priority, terminal 101 may save the training data acquired under its coverage. For another example, when the area of ​​the configuration information is used to indicate a list of cells or a location range with which training data can be shared, a second cell may be determined. If the second cell belongs to the list of cells or the location range, indicating that the second cell can apply the stored data, terminal 101 may save the stored data.

[0218] For another example, if the terminal 101 determines that the first cell belongs to the area indicated by the network device 102, the terminal 101 needs to save the stored data or model under the first cell.

[0219] Optionally, the reference area is represented by a cell list, or the reference area is represented by a geographical location range.

[0220] Step S2103: When the terminal leaves the RRC connected state, the terminal 101 stores the configuration information.

[0221] Optionally, the terminal leaving the connected state may also be referred to as exiting the connected state, such as being disconnected from the first cell, or being in an RRC inactive state in the second cell.

[0222] Optionally, the configuration information is sent via a Radio Resource Control (RRC) release message or an RRC reconfiguration message.

[0223] Optionally, if the configuration information includes an area and is carried in an RRC release message or an RRC reconfiguration message, the terminal 101 needs to store the configuration information including the reference area when leaving the connected state so that the terminal 101 can perform the judgment of step S2102 based on the area.

[0224] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", and "field" can be used interchangeably.

[0225] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0226] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0227] In some embodiments, the terms "radio", "wireless", "radio access network (RAN)", "access network (AN)", "RAN-based" and the like may be used interchangeably.

[0228] In some embodiments, terms such as "moment", "time point", "time", and "time position" can be replaced with each other, and terms such as "duration", "period", "time window", "window", and "time" can be replaced with each other.

[0229] In some embodiments, the terms "component carrier (CC)", "cell", "frequency carrier", "carrier frequency" and the like can be used interchangeably.

[0230] In some embodiments, terms such as "certain", "preseted", "preset", "setting", "indicated", "some", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "some A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, some A, any A, or first A, etc., but not limited to this.

[0231] In some embodiments, the determination or judgment can be performed by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values ​​(for example, comparison with a predetermined value), but is not limited thereto.

[0232] In some embodiments, "not expecting to receive" can be interpreted as not receiving on time domain resources and / or frequency domain resources, or as not performing subsequent processing on the data after receiving it; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the recipient to respond to the content sent.

[0233] The method involved in the embodiment of the present disclosure may include at least one of steps S2101 to S2103; for example, the method includes step S2101.

[0234] In some embodiments, at least one of steps S2102 to S2103 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0235] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2 a .

[0236] Figure 2b is an interactive diagram of a method for receiving and sending configuration information according to an embodiment of the present disclosure. As shown in Figure 2b, an embodiment of the present disclosure relates to a method for receiving and sending configuration information, the method comprising:

[0237] In step S2201 , the network device 102 sends configuration information to the terminal 101 .

[0238] In some embodiments, the optional implementation of step S2201 can refer to the optional implementation of step S2101, and the referenced parts will not be repeated here.

[0239] In some embodiments, the configuration information includes at least one of the following:

[0240] AI models supported by the first cell or the second cell;

[0241] AI functions supported by the first cell or the second cell;

[0242] Data Collection Information.

[0243] Optionally, the AI ​​model or AI function supported by the serving cell belongs to an AI configuration. The AI ​​configuration may also indicate whether the serving cell supports the AI ​​function.

[0244] Optionally, the data collection information may include the type of data collection, the period, and the conditions that trigger the data collection.

[0245] The AI ​​model or AI function supported by the first cell may be the same as or different from the AI ​​model or AI function supported by the second cell.

[0246] Optionally, the network device 102 may send the configuration information via SI, such as via a system information block (SIB).

[0247] In some embodiments, terminal 101 receives the configuration information.

[0248] Step S2202: When the configuration information includes data collection information, the terminal 101 saves the model or data.

[0249] In some embodiments, the data collection information based on the configuration information may implicitly indicate that the terminal 101 needs to save the stored model or the stored data.

[0250] In step S2203, when the configuration information includes supported AI models or supported AI functions, the terminal 101 saves the models or data corresponding to the supported AI models or supported AI functions.

[0251] Optionally, the serving cell may be the serving cell before or after the change, that is, the first cell or the second cell.

[0252] For example, taking the second cell as an example, if the configuration information indicates the AI ​​model or AI function supported by the second cell, the terminal 101 can only save the model or data corresponding to the AI ​​model or AI function supported by the second cell for the stored data or models, and other models or data can be deleted.

[0253] In some embodiments, based on the content of the configuration information, the terminal 101 saves specific stored models or data, and other data can be deleted to save space.

[0254] The method involved in the embodiment of the present disclosure may include at least one of steps S2201 to S2203; for example, the method includes step S2201.

[0255] In some embodiments, steps S2202 and S2203 are parallel solutions, and either one of them can be executed.

[0256] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2 b .

[0257] FIG3a is a schematic diagram of a method for receiving and sending configuration information according to an embodiment of the present disclosure. As shown in FIG3a, an embodiment of the present disclosure relates to a method for receiving and sending configuration information, which is executed by terminal 101 and includes:

[0258] Step S3101, obtain configuration information.

[0259] In some embodiments, the implementation of step S3101 can refer to the optional implementation of steps S2101 and S2201, which will not be repeated here.

[0260] Optionally, the terminal 101 may obtain configuration information from the network device 102 or other entities.

[0261] Step S3102, determine whether to delete the model or data.

[0262] In some embodiments, the implementation of step S3102 can refer to the optional implementation of step S2102 and will not be repeated here.

[0263] In some embodiments, the implementation of step S3102 can refer to the optional implementation of step S2202 or S2203, which will not be repeated here.

[0264] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3 a .

[0265] FIG3b is a schematic diagram of a method for receiving and sending configuration information according to an embodiment of the present disclosure. As shown in FIG3b, an embodiment of the present disclosure relates to a method for receiving and sending configuration information, which is executed by terminal 101 and includes:

[0266] Step S3201, obtain configuration information.

[0267] In some embodiments, the implementation of step S3201 can refer to the optional implementations of steps S2101 and S2201, which will not be repeated here.

[0268] Step S3202: The configuration information includes an area, and the terminal 101 determines whether to delete the model or data according to whether the first cell or the second cell is within the area.

[0269] In some embodiments, the implementation of step S3202 can refer to the optional implementation of step S2102-1 and will not be repeated here.

[0270] Step S3203: When the terminal leaves the RRC connection state, the terminal 101 stores the configuration information.

[0271] In some embodiments, the implementation of step S3203 can refer to the optional implementation of step S2103 and will not be repeated here.

[0272] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3 b .

[0273] FIG3c is a schematic diagram of a method for receiving and sending configuration information according to an embodiment of the present disclosure. As shown in FIG3c, an embodiment of the present disclosure relates to a method for receiving and sending configuration information, which is executed by terminal 101 and includes:

[0274] Step S3301: Receive configuration information sent by a network device.

[0275] In some embodiments, the implementation of step S3301 can refer to the optional implementation of steps S2101 and S2201, which will not be repeated here.

[0276] Optionally, the configuration information is used to indicate whether the terminal deletes the stored model or data when the service cell of the terminal changes from the first cell to the second cell, and the network device corresponds to the change from the first cell to the second cell.

[0277] In some embodiments, the configuration information includes a region, and the method further comprises:

[0278] The terminal determines whether to save or delete the model or data according to whether the first cell or the second cell is within the area.

[0279] Optionally, the area is represented by a cell list, or the area is represented by a geographical location range.

[0280] Optionally, the method further comprises:

[0281] When the terminal leaves the radio control resource RRC connected state, storing the configuration information;

[0282] The configuration information is sent via an RRC release message or an RRC reconfiguration message.

[0283] In some embodiments, the configuration information includes an indication bit for indicating whether to delete.

[0284] In some embodiments, the configuration information includes at least one of the following:

[0285] Artificial intelligence AI models;

[0286] AI capabilities;

[0287] AI application scenarios;

[0288] AI application conditions;

[0289] Among them, at least one of the AI ​​model, AI function, AI application scenario or AI application condition has a corresponding relationship with the data.

[0290] In some embodiments, when the AI ​​application scenario is beam management, the data includes, for example, beam measurement results and / or beam identification; or,

[0291] When the AI ​​application scenario is channel state information CSI compression, the data includes, for example, CSI measurement results; or,

[0292] When the AI ​​application scenario is mobility management, the data includes, for example, cell measurement results and / or terminal location.

[0293] In some embodiments, the method further comprises:

[0294] The terminal saves the model or data corresponding to the configuration information, or the terminal deletes the model or the data corresponding to the configuration information.

[0295] In some embodiments, the configuration information includes at least one of the following:

[0296] AI models supported by the first cell or the second cell;

[0297] AI functions supported by the first cell or the second cell;

[0298] Data Collection Information.

[0299] Optionally, the method further comprises:

[0300] When the configuration information includes data collection information, the terminal saves the model or data; or,

[0301] When the configuration information includes supported AI models or supported AI functions, the terminal saves the models or data corresponding to the supported AI models or supported AI functions.

[0302] Optionally, the configuration information is sent via system information SI.

[0303] In some embodiments, the data is used in the training phase of an AI model.

[0304] In some embodiments, the change of serving cell is determined according to cell reselection or cell handover.

[0305] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3c.

[0306] FIG4a is a schematic diagram of a method for receiving and sending configuration information according to an embodiment of the present disclosure. As shown in FIG4a, an embodiment of the present disclosure relates to a method for receiving and sending configuration information, which is executed by a network device 102 and includes:

[0307] Step S4101, sending configuration information.

[0308] In some embodiments, the implementation of step S4101 can refer to the optional implementation of steps S2101 and S2201, which will not be repeated here.

[0309] Optionally, the network device 102 may send configuration information to a terminal or other entity.

[0310] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 4 a .

[0311] FIG4b is a schematic diagram of a method for receiving and sending configuration information according to an embodiment of the present disclosure. As shown in FIG4b , an embodiment of the present disclosure relates to a method for receiving and sending configuration information, which is executed by a network device 102 and includes:

[0312] Step S4201: Send configuration information to the terminal.

[0313] Optionally, the configuration information is used to indicate whether the terminal deletes the stored model or data when the service cell of the terminal changes from the first cell to the second cell, and the network device corresponds to the first cell or the second cell.

[0314] In some embodiments, the configuration information includes a region.

[0315] Optionally, the area is represented by a cell list, or the area is represented by a geographical location range.

[0316] Optionally, the configuration information is sent via an RRC release message or an RRC reconfiguration message.

[0317] In some embodiments, the configuration information includes an indication bit for indicating whether to delete.

[0318] In some embodiments, the configuration information includes at least one of the following:

[0319] AI models;

[0320] AI capabilities;

[0321] AI application scenarios;

[0322] AI application conditions;

[0323] Among them, at least one of the AI ​​model, AI function, AI application scenario or AI application condition has a corresponding relationship with the data.

[0324] In some embodiments, when the AI ​​application scenario is beam management, the data includes, for example, beam measurement results and / or beam identification; or,

[0325] When the AI ​​application scenario is channel state information CSI compression, the data includes, for example, CSI measurement results; or,

[0326] When the AI ​​application scenario is mobility management, the data includes, for example, cell measurement results and / or terminal location.

[0327] In some embodiments, the configuration information includes at least one of the following:

[0328] AI models supported by the first cell or the second cell;

[0329] AI functions supported by the first cell or the second cell;

[0330] Data Collection Information.

[0331] In some embodiments, configuration information is sent via SI.

[0332] In some embodiments, the data is used in the training phase of an AI model.

[0333] In some embodiments, the change of serving cell is determined according to cell reselection or cell handover.

[0334] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 4 b .

[0335] The present disclosure provides a method for data storage, which enables a UE to reasonably store or release stored data, thereby saving UE storage. To facilitate understanding of the present disclosure, some specific examples are listed below:

[0336] Example 1:

[0337] When the serving cell of the UE changes, it is determined according to the first configuration whether to save or delete the stored data.

[0338] Optionally, the UE corresponds to the terminal 101 of the aforementioned embodiment; the first configuration corresponds to the configuration information of the aforementioned embodiment.

[0339] As an example, the data is used for model training.

[0340] As an embodiment, the serving cell change includes cell reselection or handover.

[0341] As an embodiment, the stored data is bound to an application scenario or an application condition or a model.

[0342] Example 2:

[0343] Based on Example 1, the UE determines whether to delete or save the stored data according to whether the serving cell belongs to the first area.

[0344] Optionally, the first region corresponds to the reference region of the aforementioned embodiment.

[0345] As an embodiment, the area may be a cell list or a geographical location range.

[0346] As an embodiment, the area may be carried in an RRC release message or an RRC reconfiguration message. Optionally, when the UE leaves the connected state, the first area information is stored.

[0347] Example 3:

[0348] Based on Example 1, the UE determines to delete or save the stored data according to the first indication sent by the serving cell.

[0349] Optionally, the first indication corresponds to an implementation method in which the configuration information of the aforementioned embodiment contains specific content, such as the first indication corresponds to an indication bit, or the first indication corresponds to an AI model, AI function, AI application scenario or AI application condition contained in the configuration information, or the first indication corresponds to the aforementioned AI configuration.

[0350] As an embodiment, the first indication may be carried in system information.

[0351] Example 4:

[0352] Based on Example 3, the first indication may be an application scenario, an application condition, or a model. Optionally, the UE stores data corresponding to the first indication.

[0353] As an embodiment, the UE reads the system information of the modified serving cell to obtain the first indication.

[0354] Example 5:

[0355] Based on Example 3, the first indication may be the configuration of AI.

[0356] As an embodiment, the AI ​​configuration may be a system information block carrying the AI ​​configuration or data collection configuration. Optionally, the AI ​​configuration may be a supported AI model, and the data collection configuration may be a type of data collection, a period, and a condition for triggering data collection.

[0357] As an embodiment, the AI ​​configuration may be an indication indicating whether the cell supports the AI ​​function.

[0358] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0359] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0360] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0361] Figure 5a is a schematic diagram of the structure of a terminal according to an embodiment of the present disclosure. As shown in Figure 5a, terminal 5100 may include at least one of a transceiver module 5101 and a processing module 5102. In some embodiments, transceiver module 5101 is configured to receive configuration information sent by a network device, the configuration information being used to instruct the terminal whether to delete stored models or data when the terminal's serving cell changes from a first cell to a second cell, wherein the network device corresponds to the first cell or the second cell.

[0362] Optionally, the transceiver module 5101 is configured to execute at least one of the communication steps of sending and / or receiving performed by the terminal 101 in any of the above methods, which are not described in detail here. Optionally, the processing module 5102 is configured to execute at least one of the other steps performed by the terminal 101 in any of the above methods, which are not described in detail here.

[0363] Figure 5b is a schematic diagram of the structure of a terminal according to an embodiment of the present disclosure. As shown in Figure 5b, network device 5200 may include at least one of a transceiver module 5201 and a processing module 5202. In some embodiments, transceiver module 5201 is configured to send configuration information to the terminal, indicating whether to delete stored models or data when the terminal's serving cell changes from a first cell to a second cell, wherein the network device corresponds to the first cell or the second cell.

[0364] Optionally, the transceiver module 5201 is configured to execute at least one of the communication steps of sending and / or receiving performed by the network device 102 in any of the above methods, which are not described in detail here. Optionally, the processing module 5202 is configured to execute at least one of the other steps performed by the network device 102 in any of the above methods, which are not described in detail here.

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

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

[0367] Figure 6a is a schematic diagram of the structure of a communication device 6100 proposed in an embodiment of the present disclosure. Communication device 6100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user equipment, etc.), a chip, a chip system, or a processor that supports a network device implementing any of the above methods, or a chip, a chip system, or a processor that supports a terminal implementing any of the above methods. Communication device 6100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0368] As shown in Figure 6a, the communication device 6100 includes one or more processors 6101. The processor 6101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process the communication protocol and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. Optionally, the communication device 6100 is used to perform any of the above methods. Optionally, one or more processors 6101 are used to call instructions to enable the communication device 6100 to perform any of the above methods.

[0369] In some embodiments, the communication device 6100 further includes one or more transceivers 6102. When the communication device 6100 includes one or more transceivers 6102, the transceiver 6102 performs at least one of the communication steps, such as sending and / or receiving, in the above-described method, and the processor 6101 performs at least one of the other steps. In an optional embodiment, the transceiver may include a receiver and / or a transmitter, and the receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, and interface may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0370] In some embodiments, the communication device 6100 further includes one or more memories 6103 for storing data. Alternatively, all or part of the memories 6103 may be located outside the communication device 6100. In alternative embodiments, the communication device 6100 may include one or more interface circuits 6104. Optionally, the interface circuits 6104 are connected to the memories 6103 and may be configured to receive data from the memories 6103 or other devices, or to send data to the memories 6103 or other devices. For example, the interface circuits 6104 may read data stored in the memories 6103 and send the data to the processor 6101.

[0371] The communication device 6100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 6100 described in the present disclosure is not limited thereto, and the structure of the communication device 6100 may not be limited by FIG. 6a. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0372] FIG6b is a schematic diagram of the structure of a chip 6200 according to an embodiment of the present disclosure. If the communication device 6100 can be a chip or a chip system, reference can be made to the schematic diagram of the structure of the chip 6200 shown in FIG6b , but the present disclosure is not limited thereto.

[0373] The chip 6200 includes one or more processors 6201. The chip 6200 is configured to execute any of the above methods.

[0374] In some embodiments, chip 6200 further includes one or more interface circuits 6202. Terms such as interface circuit, interface, and transceiver pins may be used interchangeably. In some embodiments, chip 6200 further includes one or more memories 6203 for storing data. Alternatively, all or part of memory 6203 may be located external to chip 6200. Optionally, interface circuit 6202 is connected to memory 6203 and may be used to receive data from memory 6203 or other devices, or may be used to send data to memory 6203 or other devices. For example, interface circuit 6202 may read data stored in memory 6203 and send the data to processor 6201.

[0375] In some embodiments, the interface circuit 6202 performs at least one of the communication steps, such as sending and / or receiving, in the above-described method. For example, the interface circuit 6202 performing the communication steps, such as sending and / or receiving, in the above-described method means that the interface circuit 6202 performs data exchange between the processor 6201, the chip 6200, the memory 6203, or the transceiver device. In some embodiments, the processor 6201 performs at least one of the other steps.

[0376] The modules and / or devices described in various embodiments, such as virtual devices, physical devices, and chips, can be arbitrarily combined or separated according to circumstances. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0377] The present disclosure also proposes a storage medium having instructions stored thereon. When the instructions are executed on the communication device 6100, the communication device 6100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a temporary storage medium.

[0378] The present disclosure also provides a program product, which, when executed by the communication device 6100, enables the communication device 6100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0379] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods. Industrial Applicability

[0380] The terminal receives configuration information to learn the data processing method indicated by the network device, so that when the serving cell changes, the terminal can process the stored data or model based on the configuration information, saving storage space or facilitating subsequent reuse of data.

Claims

1. A method for receiving configuration information, executed by a terminal, the method comprising: Receiving configuration information sent by a network device, the configuration information being used to indicate whether the terminal deletes stored models or data when the serving cell of the terminal changes from a first cell to a second cell, wherein the network device corresponds to the first cell or the second cell.

2. The method according to claim 1, wherein The configuration information includes a region, and the method further comprises: The terminal determines whether to delete the model or the data according to whether the first cell or the second cell is within the region.

3. The method according to claim 2, wherein, The region is represented by a cell list, or the region is represented by a geographical location range.

4. The method according to claim 2, wherein, The method further comprises: When the terminal leaves the Radio Resource Control (RRC) connected state, storing the configuration information; Wherein, the configuration information is sent through an RRC release message or an RRC reconfiguration message.

5. The method according to claim 1, wherein, The configuration information includes an indication bit for indicating whether to delete.

6. The method according to claim 1 or 5, wherein The configuration information includes at least one of the following: An Artificial Intelligence (AI) model; AI function; AI application scenario; AI application condition; Wherein, at least one of the AI model, the AI function, the AI application scenario or the AI application condition has a corresponding relationship with the data.

7. The method according to claim 6, wherein, The method further comprises: The terminal saves the model or the data corresponding to the configuration information, or the terminal deletes the model or the data corresponding to the configuration information.

8. The method according to claim 1, wherein, The configuration information includes at least one of the following: The AI model supported by the first cell or the second cell; The AI function supported by the first cell or the second cell; Data collection information.

9. The method according to claim 8, wherein, The method further comprises: When the configuration information includes the data collection information, the terminal saves the model or the data; or, When the configuration information includes the supported AI model or the supported AI function, the terminal saves the model or the data corresponding to the supported AI model or the supported AI function.

10. The method according to any one of claims 5 to 9, wherein, The configuration information is sent through System Information (SI).

11. The method according to any one of claims 1 to 10, wherein, The data is used in the training phase of the AI model.

12. The method according to any one of claims 1 to 10, wherein, The change of the serving cell is determined according to cell reselection or cell handover.

13. A method for sending configuration information, executed by a network device, the method comprising: Sending configuration information to a terminal, the configuration information being used to indicate whether the terminal deletes stored models or data when the serving cell of the terminal changes from a first cell to a second cell, wherein the network device corresponds to the first cell or the second cell.

14. The method according to claim 13, wherein, The configuration information includes a region.

15. The method according to claim 14, wherein, The region is represented by a cell list, or the region is represented by a geographical location range.

16. The method according to claim 14, wherein, the configuration information is sent through an RRC release message or an RRC reconfiguration message.

17. The method according to claim 13, wherein, the configuration information includes an indication bit for indicating whether to delete.

18. The method according to claim 13 or 17, wherein The configuration information includes at least one of the following: an AI model; an AI function; an AI application scenario; AI application conditions; wherein at least one of the AI model, the AI function, the AI application scenario or the AI application conditions has a corresponding relationship with the data.

19. The method according to claim 13, wherein, The configuration information includes at least one of the following: the AI model supported by the first cell or the second cell; the AI function supported by the first cell or the second cell; data collection information.

20. The method according to any one of claims 17 to 19, wherein, the configuration information is sent through SI.

21. The method according to any one of claims 13 to 20, wherein, the data is used in the training phase of the AI model.

22. The method according to any one of claims 13 to 20, wherein, the change of the serving cell is determined according to cell reselection or cell handover.

23. A terminal, comprising: a transceiver module, configured to receive configuration information sent by a network device, the configuration information being used to indicate whether the terminal deletes a stored model or data when the serving cell of the terminal changes from a first cell to a second cell, wherein the network device corresponds to the first cell or the second cell.

24. A network device, comprising: a transceiver module, configured to send configuration information to a terminal, the configuration information being used to indicate whether the terminal deletes a stored model or data when the serving cell of the terminal changes from a first cell to a second cell, wherein the network device corresponds to the first cell or the second cell.

25. A terminal, comprising: one or more processors; wherein the terminal is configured to execute the method according to any one of claims 1 to 12.

26. A network device, comprising: one or more processors; wherein the network device is configured to execute the method according to any one of claims 13 to 22.

27. A communication system, comprising a terminal and a network device, wherein, the terminal is configured to implement the method according to any one of claims 1 to 12; the network device is configured to implement the method according to any one of claims 13 to 22.

28. A storage medium, wherein the storage medium stores instructions, and when the instructions run on a communication device, the communication device is caused to execute the method according to any one of claims 1 to 12 or 13 to 22.

Images