Information processing method and apparatus, terminal and network-side device

Abstract

This application discloses an information processing method, apparatus, terminal, and network-side device, belonging to the field of communication technology. The information processing method of this application includes: a terminal receiving first information sent by a first device entity; the terminal performing a first operation based on the first information; wherein the first information includes at least one of the following: a service feature extraction request, the service feature extraction request being used to instruct the terminal to perform the first operation based on a first processing method; first sub-information for indicating the first processing method; first auxiliary information for the first processing method; result information obtained based on a second processing method; an indication for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information; and an indication for requesting third sub-information, the third sub-information being used to update a third processing method.

Description

Technical Field

[0001] This application belongs to the field of communication technology, and in particular relates to an information processing method, apparatus, terminal and network-side equipment. Background Technology

[0002] In communication systems, the communication status of a terminal is typically determined by network-side equipment. For example, network-side equipment often implements handover strategies and / or decisions based solely on base station-related information, which can lead to poor reliability of terminal communication. Summary of the Invention

[0003] This application provides an information processing method, apparatus, terminal, and network-side device that can solve the problem of poor reliability in terminal communication.

[0004] Firstly, an information processing method is provided, including:

[0005] The terminal receives the first information sent by the first device entity;

[0006] The terminal performs a first operation based on the first information;

[0007] The first information includes at least one of the following:

[0008] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on a first processing method;

[0009] First sub-information used to indicate the first processing method;

[0010] First auxiliary information used in the first processing method;

[0011] The result information is obtained based on the second processing method;

[0012] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0013] Instructions for requesting third sub-information, which is used to update the third processing method.

[0014] Secondly, an information processing method is provided, including:

[0015] The first device entity sends the first information to the terminal;

[0016] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0017] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on a first processing method;

[0018] First sub-information used to indicate the first processing method;

[0019] First auxiliary information used in the first processing method;

[0020] The result information is obtained based on the second processing method;

[0021] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0022] Instructions for requesting third sub-information, which is used to update the third processing method.

[0023] Thirdly, an information processing method is provided, including:

[0024] The second device entity sends first target information to the first device entity. The first target information includes information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity. The first target information is used to determine the first information sent by the first device entity to the terminal.

[0025] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0026] First sub-information used to indicate the first processing method;

[0027] First auxiliary information used in the first processing method;

[0028] The result information is obtained based on the second processing method.

[0029] Fourthly, an information processing apparatus is provided, comprising:

[0030] The first receiving module is used to receive the first information sent by the first device entity;

[0031] The execution module is used to perform a first operation based on the first information;

[0032] The first information includes at least one of the following:

[0033] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on a first processing method;

[0034] First sub-information used to indicate the first processing method;

[0035] First auxiliary information used in the first processing method;

[0036] The result information is obtained based on the second processing method;

[0037] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0038] Instructions for requesting third sub-information, which is used to update the third processing method.

[0039] Fifthly, an information processing apparatus is provided, comprising:

[0040] The second sending module is used to send the first information to the terminal;

[0041] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0042] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on a first processing method;

[0043] First sub-information used to indicate the first processing method;

[0044] First auxiliary information used in the first processing method;

[0045] The result information is obtained based on the second processing method;

[0046] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0047] Instructions for requesting third sub-information, which is used to update the third processing method.

[0048] Sixthly, an information processing apparatus is provided, comprising:

[0049] The third sending module is used to send first target information to the first device entity. The first target information includes information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity. The first target information is used to determine the first information sent by the first device entity to the terminal.

[0050] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0051] First sub-information used to indicate the first processing method;

[0052] First auxiliary information used in the first processing method;

[0053] The result information is obtained based on the second processing method.

[0054] In a seventh aspect, a terminal is provided, the terminal including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method described in the first aspect.

[0055] Eighthly, a terminal is provided, including a processor and a communication interface, wherein,

[0056] The communication interface is used to receive first information sent by the first device entity;

[0057] The processor is used to perform a first operation based on the first information;

[0058] The first information includes at least one of the following:

[0059] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on a first processing method;

[0060] First sub-information used to indicate the first processing method;

[0061] First auxiliary information used in the first processing method;

[0062] The result information is obtained based on the second processing method;

[0063] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0064] Instructions for requesting third sub-information, which is used to update the third processing method.

[0065] A ninth aspect provides a network-side device including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method as described in the second aspect, or implement the steps of the method as described in the third aspect.

[0066] In a tenth aspect, a network-side device is provided, including a processor and a communication interface, wherein,

[0067] The communication interface is used to send first information to the terminal;

[0068] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0069] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on a first processing method;

[0070] First sub-information used to indicate the first processing method;

[0071] First auxiliary information used in the first processing method;

[0072] The result information is obtained based on the second processing method;

[0073] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0074] Instructions for requesting third sub-information, which is used to update the third processing method.

[0075] Alternatively, the communication interface is used to send first target information to the first device entity, the first target information including information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity, the first target information being used to determine the first information sent by the first device entity to the terminal;

[0076] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0077] First sub-information used to indicate the first processing method;

[0078] First auxiliary information used in the first processing method;

[0079] The result information is obtained based on the second processing method.

[0080] Eleventhly, a readable storage medium is provided, on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect, or the steps of the method described in the second aspect, or the steps of the method described in the third aspect.

[0081] In a twelfth aspect, embodiments of this application provide a chip, the chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being configured to run a program or instructions to implement the steps of the method described in the first aspect, or the steps of the method described in the second aspect, or the steps of the method described in the third aspect.

[0082] In a fourteenth aspect, a computer program / program product is provided, the computer program / program product being stored in a non-transient storage medium, the computer program / program product being executed by at least one processor to implement the method as described in the first aspect, or the method as described in the second aspect, or the steps of the method as described in the third aspect.

[0083] In this embodiment, a terminal receives first information sent by a first device entity; the terminal performs a first operation based on the first information; wherein the first information includes at least one of the following: a service feature extraction request, which instructs the terminal to perform the first operation based on a first processing method; first sub-information indicating the first processing method; first auxiliary information for the first processing method; result information obtained based on a second processing method; an indication to request second sub-information, which includes terminal-related information or information obtained by hiding information features of terminal-related information; and an indication to request third sub-information, which is used to update a third processing method. Since the terminal performs the first operation based on the first information, it can utilize terminal-related information to assist in implementing switching strategies and / or decisions. Therefore, this embodiment improves the reliability of terminal communication. Attached Figure Description

[0084] Figure 1 This is a structural diagram of a network system that can be applied to the embodiments of this application;

[0085] Figure 2 This is one of the flowcharts of an information processing method provided in the embodiments of this application;

[0086] Figure 3 This is a second flowchart of an information processing method provided in an embodiment of this application;

[0087] Figure 4 This is the third flowchart of an information processing method provided in the embodiments of this application;

[0088] Figure 5 This is one of the structural diagrams of an information processing device provided in the embodiments of this application;

[0089] Figure 6 This is a second structural diagram of an information processing device provided in an embodiment of this application;

[0090] Figure 7 This is the third structural diagram of an information processing device provided in the embodiments of this application;

[0091] Figure 8 This is a structural diagram of a communication device provided in an embodiment of this application;

[0092] Figure 9 This is a structural diagram of a terminal provided in an embodiment of this application;

[0093] Figure 10 This is a structural diagram of a network-side device provided in an embodiment of this application. Detailed Implementation

[0094] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0095] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same class, not limited in number; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0096] It is worth noting that the technologies described in this application are not limited to Long Term Evolution (LTE) / LTE-Advanced (LTE-A) systems, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency-Division Multiple Access (SC-FDMA), and other systems. The terms "system" and "network" in this application are often used interchangeably, and the described technologies can be used in the systems and radio technologies mentioned above, as well as in other systems and radio technologies. The following description describes New Radio (NR) systems for illustrative purposes, and NR terminology is used in most of the following description. These technologies can also be applied to applications beyond NR systems, such as 6th Generation (6G) communication systems.

[0097] Figure 1This diagram illustrates a block diagram of a wireless communication system applicable to embodiments of this application. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 can also be referred to as a terminal device or user equipment (UE). The terminal 11 can be a mobile phone, tablet computer, laptop computer, personal digital assistant (PDA), handheld computer, netbook, ultra-mobile personal computer (UMPC), mobile internet device (MID), wearable device, vehicle-mounted device (VUE), pedestrian terminal (PUE), etc. Wearable devices include smartwatches, wristbands, headphones, glasses, etc. It should be noted that this application does not limit the specific type of terminal 11. Network-side equipment 12 can be a base station or core network equipment. The base station can be referred to as a node B, evolved node B, access point, base transceiver station (BTS), radio base station, radio transceiver, basic service set (BSS), extended service set (ESS), B node, evolved B node (eNB), home B node, home evolved B node, WLAN access point, WiFi node, transmitting and receiving point (TRP), or any other suitable term in the field, as long as the same technical effect is achieved. The base station is not limited to specific technical terms. It should be noted that in this application embodiment, only the base station in the NR system is used as an example, but the specific type of base station is not limited.

[0098] The information processing method provided in this application will be described in detail below with reference to the accompanying drawings, through some embodiments and application scenarios.

[0099] Please see Figure 2 , Figure 2 This is a flowchart of an information processing method provided in an embodiment of this application, such as... Figure 2 As shown, it includes the following steps:

[0100] Step 201: The terminal receives the first information sent by the first device entity;

[0101] Step 202: The terminal performs a first operation based on the first information;

[0102] The first information includes at least one of the following:

[0103] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on a first processing method;

[0104] First sub-information used to indicate the first processing method;

[0105] First auxiliary information used in the first processing method;

[0106] The result information is obtained based on the second processing method;

[0107] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0108] Instructions for requesting third sub-information, which is used to update the third processing method.

[0109] The operational behavior of the first operation can be set according to actual needs. For example, in some embodiments, the first operation may include, but is not limited to, the following operational behaviors: service feature extraction related operations, beam measurement related operations, beam or channel measurement reporting, beam or channel prediction related operations, and positioning related operations.

[0110] It should be understood that the aforementioned first information may include one or more of the following: first sub-information, first auxiliary information, result information, indication for requesting second sub-information, and indication for requesting third sub-information. When the first information includes multiple pieces of information, the multiple pieces of information may be transmitted through one or more signaling methods.

[0111] In this embodiment, the first processing method may include a method of processing using a first neural network, and the first sub-information includes neural network-related information of the first neural network. Specifically, the first processing method can be used to infer terminal-related information to implement a first operation. Since the first operation is performed on the terminal using the first processing method, the first operation can be performed using terminal-related information. The neural network-related information may include at least one of the structure and parameters of the neural network. Reporting based on the execution result of the first operation can improve the accuracy of implementing switching strategies and / or decisions, and improve the reliability of terminal communication. It should be noted that in this embodiment, the first information may directly carry the content of the first auxiliary information, or the first auxiliary information may be implicitly indicated by the network parameters of the first neural network. For example, when the first sub-information of the first processing method includes neural network-related information of the first neural network, and the first auxiliary information is obtained from the first target information after a first preset processing, the first auxiliary information is implicitly contained in the network parameters of the first neural network.

[0112] Optionally, the aforementioned first and second physical devices can be understood as network-side physical devices, or network-side equipment. Specifically, the first and second physical devices can be the same physical device or different physical devices. In some embodiments, the first device entity is one or more network elements that collect and distribute information. For example, the first device entity includes a set of one or more of the following: a base station, a Location Management Function (LMF), a Network Data Analytics Function (NWDAF), a first network element, and a second network element. The first network element is used to execute the second processing method, and the second network element is used for at least one of the following: collecting information required to execute the second processing method; and performing information calculation on the information required to execute the second processing method. The second device entity is used to provide network services to the terminal, and the second device entity is a base station, a core network device, or other network elements besides the base station and the core network device.

[0113] It should be understood that the aforementioned first processing method can be pre-agreed upon by the protocol or indicated by the first device entity through the aforementioned first sub-information. When the first information includes first auxiliary information for the first processing method, inferences can be made about terminal-related information and second entity device-related information based on the first processing method indicated by the first sub-information or the first processing method agreed upon by the protocol.

[0114] The aforementioned second processing method can be understood as a method used by the second device entity to infer terminal-related information or terminal-related information and second entity device-related information. The second device entity can use the second processing method to infer terminal-related information or terminal-related information and second entity device-related information to achieve relevant processing. Specifically, the terminal can pre-interact with the first device entity to report terminal-related information, or report terminal-related information through second sub-information. The first device entity then uses the second processing method to obtain corresponding result information based on this terminal-related information. This result information can be used to assist in achieving the accuracy of handover strategies and / or decisions, and improve the reliability of terminal communication.

[0115] The first processing method and the second processing method can be the same or they can be matched. Matching means that the input of the first processing method can include at least part of the output of the second processing method, and the corresponding result is obtained through the first processing method.

[0116] It should be understood that the aforementioned third processing method can be either the first or second processing method. Of course, in other embodiments, it can also be understood as other processing methods, such as a processing method for information feature hiding. When the third processing method is the first processing method, the first device entity can perform corresponding processing based on the third sub-information reported by each terminal, such as update information for the first processing method, and then send the update information to the terminal for the terminal to update the first processing method. Assuming the third processing method is the second processing method, the first device entity can update the second processing method based on the third information reported by each terminal.

[0117] Optionally, in some embodiments, when the first information includes an indication for requesting third sub-information, the terminal can determine the third sub-information based on its own beam measurement results and terminal-related information. Specifically, the beam measurement results and terminal-related information can be used as the third sub-information, or the beam measurement results and terminal-related information can be used to train the third processing method, and the resulting parameter information for updating the third processing method can be used as the third sub-information. This can improve the accuracy of the result information obtained by reasoning using the third processing method.

[0118] In this embodiment, a terminal receives first information sent by a first device entity; the terminal performs a first operation based on the first information; wherein the first information includes at least one of the following: a service feature extraction request, which instructs the terminal to perform the first operation based on a first processing method; first sub-information indicating the first processing method; first auxiliary information for the first processing method; result information obtained based on a second processing method; an indication to request second sub-information, which includes terminal-related information or information obtained by hiding information features of terminal-related information; and an indication to request third sub-information, which is used to update a third processing method. Since the terminal performs the first operation based on the first information, it can utilize terminal-related information to assist in implementing switching strategies and / or decisions. Therefore, this embodiment improves the reliability of terminal communication.

[0119] The following explanation will take the first operation as an example of extracting relevant business features. The terminal performing the first operation based on the first information includes any one of the following:

[0120] The terminal performs business feature extraction-related operations based on the first processing method;

[0121] The terminal sends the second sub-information or the third sub-information to the first device entity;

[0122] The terminal extracts business features from at least a portion of the information in the result information.

[0123] In this embodiment of the application, when the first information includes at least one of a service feature extraction request, a first sub-information for instructing a first processing method, and a first auxiliary information for the first processing method, the first operation may include service feature extraction related operations and / or sending the second sub-information to the first device entity. When the first information includes result information obtained based on the second processing method, the first operation may include performing service feature extraction on at least a portion of the result information. When the first information includes an instruction for requesting third sub-information, the first operation may include sending the third sub-information to the first device entity.

[0124] Optionally, the business feature extraction related operations include at least one of business prediction, business feature statistics, extraction of key business feature indicators, and business experience statistics.

[0125] Optionally, the input to the second processing method includes the terminal-related information.

[0126] Optionally, the first auxiliary information satisfies any one of the following:

[0127] The first auxiliary information is obtained by processing the first target information through a first preset process;

[0128] The first auxiliary information is the first target information;

[0129] When the terminal and the first device entity are authenticated through a preset interactive authentication process, the first auxiliary information is the first target information;

[0130] The first target information includes information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity.

[0131] In this embodiment, the first device entity and the second device entity can be the same device entity or different device entities. When the first device entity and the second device entity are different, the first device entity can first obtain the first target information. The following is a detailed description based on the case where the first device entity and the second device entity are different.

[0132] For example, the first device entity is a core network device, and the second device entity is a base station. The first device entity can send a request message to the second device entity to request relevant information from the second device entity. The second device entity can directly send the relevant information from the second device entity to the first device entity, or it can perform a second preset processing on the second device entity before sending it to the first device entity. In other words, the first device entity can send the first target information obtained from the second device entity to the terminal, or it can further process the first target information obtained from the second device entity before sending it to the terminal.

[0133] The second preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0134] It should be understood that the processing method of the second preset process can be agreed upon by the protocol or indicated by the first device entity. For example, the processing method of the second preset process can be indicated in the above request information, or the processing method of the second preset process can be pre-configured for the second device entity before sending the request.

[0135] After receiving the first target information, the first device entity may send the first target information as first auxiliary information to the terminal; or, if the terminal and the first device entity are authenticated through a preset interaction process, the first target information may be sent as first auxiliary information to the terminal; or the first target information may be processed by a first preset process to obtain the first auxiliary information, and then the first auxiliary information may be sent to the terminal.

[0136] The processing method of the aforementioned first preset processing can be determined by protocol agreement, terminal instruction, or the first device entity, and is not further limited here. Specifically, in the embodiments of this application, the aforementioned first preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0137] Optionally, the information related to the second device entity includes at least one of the following: measurement information of the second device entity, implementation information of the second device entity, and statistical information of the second device entity.

[0138] In this embodiment of the application, the second device entity implementation information includes at least one of the second device entity antenna configuration information, the second device entity beam direction information, and the second device entity position coordinate information;

[0139] Alternatively, the measurement information of the second device entity may include the measurement information obtained by the second device entity at the air interface;

[0140] Alternatively, the statistics of the second device entity may include statistics obtained by the second device entity from long-term measurements of the air interface.

[0141] The terminal's location information is highly correlated with Channel State Information (CSI) results, beam measurement results, and Radio Resource Management (RRM) measurement results, and can effectively assist in CSI prediction and motion trajectory prediction.

[0142] Optionally, the information related to the second device entity includes at least one of the following: information about the terminal in the corresponding carrier or bandwidth portion; statistical information about a terminal in multiple carriers or bandwidth portions; and statistical information about multiple terminals.

[0143] Optionally, in some embodiments, the method further includes:

[0144] The terminal reports second auxiliary information to the first device entity. The second auxiliary information includes at least one of the public key of the encryption process and the network parameter suggestion information of the preset neural network.

[0145] In this embodiment, the first information includes an indication for requesting the second sub-information, and the second sub-information is information obtained by hiding information features of terminal-related information. After the first device entity obtains the second auxiliary information, it can send the second auxiliary information to the second device entity. Of course, in other embodiments, the terminal can also directly send the second auxiliary information to the second device entity. The second device entity can perform corresponding processing operations based on the second auxiliary information. For example, after the second device entity performs a second preset processing (such as encryption processing) on ​​the relevant information of the second device entity, it sends the processed first target information to the first device entity.

[0146] Optionally, in some embodiments, the method further includes:

[0147] The terminal communicates with the first device entity to determine at least one of the following:

[0148] Does the terminal have the ability to perform business prediction operations based on the first processing method?

[0149] When the terminal performs the business prediction operation, the available terminal-related information;

[0150] The probability of transmitting different types of services within a preset time period.

[0151] In this embodiment, the first device entity can communicate with the terminal to determine the specific content of the aforementioned first information. For example, the terminal can directly send the relevant information, or the first device entity can send a request, and the terminal can then provide the relevant information back to the first device entity based on the request.

[0152] Optionally, the terminal-related information includes at least one of the following: location information, occupation or social status information, social network information, historical service information, current service status information, and physiological indicator information. Among these, the social network information, historical service information, current service status information, and physiological indicator information can be understood as local terminal information or terminal privacy information. Including this information helps in prediction and further improves the reliability of terminal transmission.

[0153] The aforementioned preset time period can be understood as a future period of time. The different types of services mentioned above can be determined based on characteristics such as the average rate, latency, and periodicity of the service, or based on other specific identifiers, such as XR services, video services, and audio services.

[0154] Optionally, the methods for hiding information features include at least one of the following:

[0155] Encryption processing and feature abstraction using a pre-defined neural network.

[0156] In this embodiment of the application, the terminal-related information after being hidden by information features does not support recovery or cannot be recovered within a predefined time. Alternatively, whether the terminal-related information after being hidden by information features supports recovery is determined by the protocol, the indication of the first device entity, or the indication of the terminal.

[0157] Optionally, in some embodiments, when the first information includes result information obtained based on the second processing method, the method further includes:

[0158] The terminal sends second information to the first device entity, the second information including at least one of the following:

[0159] Information used to determine the second processing method;

[0160] In the case where the second processing method is a method of processing using a second neural network, the suggested information for the network parameters of the second neural network is provided.

[0161] In this embodiment of the application, the first device entity can use the second information sent by the terminal, the information obtained after feature hiding of the terminal-related information, and at least a portion of the information related to the second device entity as input to the second processing method to perform corresponding reasoning and obtain the above-mentioned result information.

[0162] After receiving the result information, the terminal can further process it according to a predefined method and then send the corresponding processing result to the first device entity or the second device entity. For example, if the first device entity processes encrypted data and cannot interpret the processing result, the terminal can decrypt the processed data using only its private key information.

[0163] Optionally, the second sub-information includes information obtained by aggregating the terminal-related information and the second device-related information, or information obtained by hiding information features of the information obtained by aggregating the terminal-related information and the second device-related information.

[0164] In this embodiment, the terminal can obtain information related to the second device entity in advance. This information can be either unhidden or hidden, without further limitation. When the terminal receives an instruction to request the second sub-information, it can aggregate the second device entity information and the terminal-related information to obtain the second sub-information, and then send it to the first device entity for processing, such as using a second processing method for inference.

[0165] Optionally, where the third processing method includes a method for processing using a third neural network, and the first information is an indication for requesting third sub-information, after the terminal receives the first information sent by the first device entity, the method further includes:

[0166] The terminal sends the third sub-information to the first device entity, and the third sub-information is the network parameter update information of the third neural network.

[0167] In this embodiment of the application, when the third processing method is the first processing method, the above-mentioned third neural network can be understood as the first neural network. At this time, the first device entity can perform corresponding processing according to the third sub-information reported by each terminal to obtain network parameter update information; and send the network parameter update information to the terminal for updating. At this time, the network parameter update information can be carried in the above-mentioned first sub-information.

[0168] When the third processing method is the second processing method, the aforementioned third neural network can be understood as the second neural network associated with the second processing method. The first device entity can update the second neural network according to the third information reported by each terminal.

[0169] Optionally, in some embodiments, the network parameter update information is obtained based on terminal association information and the terminal implementation training of the third neural network.

[0170] To better understand this application, the following assumes that the first device entity is different from the second device, and that the second device entity is a base station, and provides a detailed explanation through some specific examples.

[0171] Example 1 includes the following process:

[0172] Step 1: The first device entity requests service forecast data from the terminal, and performs the following actions before or simultaneously:

[0173] Whether the terminal and the first device entity have the corresponding capabilities to interact via signaling;

[0174] The terminal interacts with the first device entity via signaling to "be able to calculate the corresponding privacy information provided when making business predictions locally on the terminal," which may include location information, personal business data history information (including personal business browsing information, etc.), occupational / social status information, social networks, physiological indicators, and other information;

[0175] The terminal and the first device entity interact with each other through signaling to exchange expected outputs. Possible outputs include the probability of performing different types of services within a predefined time period in the future. The corresponding service types include characteristics such as the average rate, latency, and periodicity of the service. A specific service type can also be given other specific identifiers, such as XR service, video service, and audio service.

[0176] The first device entity sends the corresponding neural network information for prediction (i.e., the aforementioned first sub-information) to the terminal via signaling.

[0177] Step 2: The terminal uses the neural network information sent by the first device entity to predict the service based on local information.

[0178] Step 3: The terminal reports the results of the business forecast.

[0179] Example 2 includes the following process:

[0180] Step 1: The first device entity requests service forecast data from the terminal, and performs the following actions before or simultaneously:

[0181] The first device entity submits the corresponding demand data information to the terminal; this information may include location information, personal business data history information (including personal business browsing information, etc.), occupational / social status information, social networks, physiological indicators, etc.

[0182] The first device entity may send a certain type of predefined representative information of a certain type of abstract feature after the above information is synthesized to the terminal. It is difficult to directly recover the corresponding original information from the abstract representation of the information.

[0183] The representative information of this type of abstract feature may be information formed by processing the original information through a pre-agreed neural network. The first device entity is aware of the existence of the neural network, but cannot know the details of the neural network; therefore, it is impossible to recover the original information from the abstracted data.

[0184] Step 2: The terminal sends the corresponding information to the first device entity after hiding its information features, and / or the base station sends the corresponding auxiliary information to the first device entity.

[0185] Optionally, information feature hiding includes methods such as encryption, performing complex calculations on the information, and abstracting the information, so that it is impossible or requires a great deal of effort to recover the original data.

[0186] Optionally, the auxiliary information includes: how to process the data after information hiding and / or how to combine it with other data.

[0187] For example, auxiliary information may be a public key used for encryption. To facilitate homomorphic encryption, when the first device entity processes the terminal feedback information together with other information, the other information needs to be encrypted in the same way. In addition, auxiliary information may also be a neural network parameter suggestion information that needs further processing.

[0188] Step 3: The first device entity processes the auxiliary information sent by the terminal, the information with hidden information features, and / or other information (e.g., information obtained from entity 3).

[0189] Step 4: The first device entity can send the further processed information to the terminal, which then processes it further according to a predefined method and sends the corresponding processed information back to the first device entity or the base station. For example, the first device entity processes encrypted data, and the processing result cannot be interpreted. The terminal decrypts the processed data using only its private key information.

[0190] Please see Figure 3 , Figure 3 This is a flowchart of another information processing method provided in the embodiments of this application, such as... Figure 3 As shown, it includes the following steps:

[0191] Step 301: The first device entity sends the first information to the terminal;

[0192] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0193] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on a first processing method;

[0194] First sub-information used to indicate the first processing method;

[0195] First auxiliary information used in the first processing method;

[0196] The result information is obtained based on the second processing method;

[0197] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0198] Instructions for requesting third sub-information, which is used to update the third processing method.

[0199] Optionally, the first operation is a business feature extraction related operation.

[0200] Optionally, the business feature extraction related operations include at least one of business prediction, business feature statistics, extraction of key business feature indicators, and business experience statistics.

[0201] Optionally, the input to the second processing method includes the terminal-related information.

[0202] Optionally, the first auxiliary information satisfies any one of the following:

[0203] The first auxiliary information is obtained by processing the first target information through a first preset process;

[0204] The first auxiliary information is the first target information;

[0205] When the terminal and the first device entity are authenticated through a preset interactive authentication process, the first auxiliary information is the first target information;

[0206] The first target information includes information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity.

[0207] Optionally, the information related to the second device entity includes at least one of the following: measurement information of the second device entity, implementation information of the second device entity, and statistical information of the second device entity.

[0208] Optionally, the second device entity implementation information includes at least one of the following: second device entity antenna configuration information, second device entity beam direction information, and second device entity position coordinate information;

[0209] Alternatively, the measurement information of the second device entity may include the measurement information obtained by the second device entity at the air interface;

[0210] Alternatively, the statistics of the second device entity may include statistics obtained by the second device entity from long-term measurements of the air interface.

[0211] Optionally, the information related to the second device entity includes at least one of the following: information about the terminal in the corresponding carrier or bandwidth portion; statistical information about a terminal in multiple carriers or bandwidth portions; and statistical information about multiple terminals.

[0212] Optionally, the first preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0213] Optionally, the method further includes:

[0214] The first device entity receives second auxiliary information reported by the terminal, the second auxiliary information including at least one of the public key of the encryption process and the network parameter suggestion information of the preset neural network.

[0215] Optionally, the second preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0216] Optionally, the second device entity is used to provide network services to the terminal, and the second device entity is a base station, core network equipment, or other network elements other than the base station or core network equipment.

[0217] Optionally, the first processing method includes a method of processing using a first neural network, and the first sub-information includes neural network-related information of the first neural network.

[0218] Optionally, the neural network-related information includes at least one of the neural network structure and neural network parameters.

[0219] Optionally, the first device entity includes a set consisting of one or at least two of the following: a base station, a local management function (LMF), a network data analysis function (NWDAF), a first network element, and a second network element. The first network element is used to execute the second processing method, and the second network element is used for at least one of the following: collecting information required to execute the second processing method; and performing information calculation on the information required to execute the second processing method.

[0220] Optionally, the method further includes:

[0221] The first device entity communicates with the terminal to determine at least one of the following:

[0222] Does the terminal have the ability to perform business prediction operations based on the first processing method?

[0223] When the terminal performs the business prediction operation, the available terminal-related information;

[0224] The probability of transmitting different types of services within a preset time period.

[0225] Optionally, the methods for hiding information features include at least one of the following:

[0226] Encryption processing and feature abstraction using a pre-defined neural network.

[0227] Optionally, when the first information includes result information obtained based on the second processing method, the method further includes:

[0228] The first device entity receives second information sent by the terminal, the second information including at least one of the following:

[0229] Information used to determine the second processing method;

[0230] In the case where the second processing method is a method of processing using a second neural network, the suggested information for the network parameters of the second neural network is provided.

[0231] Optionally, the first preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0232] Optionally, the method further includes:

[0233] The first device entity receives second auxiliary information sent by the terminal, the second auxiliary information including at least one of the public key of the encryption process and the network parameter suggestion information of the preset neural network.

[0234] Optionally, after the first device entity receives the second auxiliary information sent by the terminal, the method further includes:

[0235] The first device entity sends the second auxiliary information to the second device entity.

[0236] Optionally, the terminal-related information includes at least one of the following: location information, occupation or social status information, social relationship network information, historical business information, current business status information, and physiological indicator information.

[0237] Optionally, the second sub-information includes information obtained by aggregating the terminal-related information and the second device-related information, or information obtained by hiding information features of the information obtained by aggregating the terminal-related information and the second device-related information.

[0238] Optionally, when the third processing method includes a method for processing using a third neural network, and the first information is an indication for requesting third sub-information, after the first device entity sends the first information to the terminal, the method further includes:

[0239] The first device entity receives the third sub-information sent by the terminal, the third sub-information being the network parameter update information of the third neural network.

[0240] Optionally, the network parameter update information is obtained based on terminal association information and the terminal implementation of training the third neural network.

[0241] It should be noted that this embodiment is used as... Figure 2 The specific implementation of the first device entity corresponding to the illustrated embodiment can be found in [reference needed]. Figure 2 The embodiments shown herein, and the benefits achieved therein, will not be repeated here to avoid repetition.

[0242] Please see Figure 4 , Figure 4 This is a flowchart of another information processing method provided in the embodiments of this application, such as... Figure 4 As shown, it includes the following steps:

[0243] Step 401: The second device entity sends first target information to the first device entity. The first target information includes information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity. The first target information is used to determine the first information sent by the first device entity to the terminal.

[0244] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0245] First sub-information used to indicate the first processing method;

[0246] First auxiliary information used in the first processing method;

[0247] The result information is obtained based on the second processing method.

[0248] Optionally, the first operation is a business feature extraction related operation.

[0249] Optionally, the business feature extraction related operations include at least one of business prediction, business feature statistics, extraction of key business feature indicators, and business experience statistics.

[0250] Optionally, before the second device entity sends the first target information to the first device entity, the method further includes:

[0251] The second device entity receives a first request sent by the first device entity, the first request being used to obtain relevant information about the second device entity.

[0252] Optionally, the input to the second processing method includes the terminal-related information.

[0253] Optionally, the first auxiliary information satisfies any one of the following:

[0254] The first auxiliary information is obtained by processing the first target information through a first preset process;

[0255] The first auxiliary information is the first target information;

[0256] When the terminal and the first device entity are authenticated through a preset interactive authentication process, the first auxiliary information is the first target information;

[0257] The first target information includes information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity.

[0258] Optionally, the information related to the second device entity includes at least one of the following: measurement information of the second device entity, implementation information of the second device entity, and statistical information of the second device entity.

[0259] Optionally, the second device entity implementation information includes at least one of the following: second device entity antenna configuration information, second device entity beam direction information, and second device entity position coordinate information;

[0260] Alternatively, the measurement information of the second device entity may include the measurement information obtained by the second device entity at the air interface;

[0261] Alternatively, the statistics of the second device entity may include statistics obtained by the second device entity from long-term measurements of the air interface.

[0262] Optionally, the information related to the second device entity includes at least one of the following: information about the terminal in the corresponding carrier or bandwidth portion; statistical information about a terminal in multiple carriers or bandwidth portions; and statistical information about multiple terminals.

[0263] Optionally, the first preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0264] Optionally, the method further includes:

[0265] The second device entity receives second auxiliary information sent by the first device entity or terminal. The second auxiliary information includes at least one of the public key of the encryption process and the network parameter suggestion information of the preset neural network.

[0266] Optionally, the second preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0267] Optionally, the second device entity is used to provide network services to the terminal, and the second device entity is a base station, core network equipment, or other network elements other than the base station or core network equipment.

[0268] Optionally, the first processing method includes a method of processing using a first neural network, and the first sub-information includes neural network-related information of the first neural network.

[0269] Optionally, the neural network-related information includes at least one of the neural network structure and neural network parameters.

[0270] Optionally, the first device entity includes a set consisting of one or at least two of the following: a base station, a local management function (LMF), a network data analysis function (NWDAF), a first network element, and a second network element. The first network element is used to execute the second processing method, and the second network element is used for at least one of the following: collecting information required to execute the second processing method; and performing information calculation on the information required to execute the second processing method.

[0271] It should be noted that this embodiment is used as... Figure 2 The specific implementation of the second device entity corresponding to the illustrated embodiment can be found in [reference needed]. Figure 2 The embodiments shown herein, and the benefits achieved therein, will not be repeated here to avoid repetition.

[0272] It should be noted that the information processing method provided in this application embodiment can be executed by an information processing device, or by a control module within that information processing device for executing the information processing method. This application embodiment uses an information processing device executing the information processing method as an example to illustrate the information processing device provided in this application embodiment.

[0273] Please see Figure 5 , Figure 5 This is a structural diagram of an information processing device provided in an embodiment of this application, such as... Figure 5 As shown, the information processing device 500 includes:

[0274] The first receiving module 501 is used to receive first information sent by the first device entity;

[0275] Execution module 502 is used to perform a first operation based on the first information;

[0276] The first information includes at least one of the following:

[0277] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on the first processing method;

[0278] First sub-information used to indicate the first processing method;

[0279] First auxiliary information used in the first processing method;

[0280] The result information is obtained based on the second processing method;

[0281] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0282] Instructions for requesting third sub-information, which is used to update the third processing method.

[0283] Optionally, the first operation is a business feature extraction related operation.

[0284] Optionally, the execution module 402 is specifically configured to perform any of the following:

[0285] Perform business feature extraction operations based on the first processing method;

[0286] Send the second sub-information or the third sub-information to the first device entity;

[0287] Business features are extracted from at least a portion of the results.

[0288] Optionally, the business feature extraction related operations include at least one of business prediction, business feature statistics, extraction of key business feature indicators, and business experience statistics.

[0289] Optionally, the input to the second processing method includes the terminal-related information.

[0290] Optionally, the first auxiliary information satisfies any one of the following:

[0291] The first auxiliary information is obtained by processing the first target information through a first preset process;

[0292] The first auxiliary information is the first target information;

[0293] When the terminal and the first device entity are authenticated through a preset interactive authentication process, the first auxiliary information is the first target information;

[0294] The first target information includes information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity.

[0295] Optionally, the information related to the second device entity includes at least one of the following: measurement information of the second device entity, implementation information of the second device entity, and statistical information of the second device entity.

[0296] Optionally, the second device entity implementation information includes at least one of the following: second device entity antenna configuration information, second device entity beam direction information, and second device entity position coordinate information;

[0297] Alternatively, the measurement information of the second device entity may include the measurement information obtained by the second device entity at the air interface;

[0298] Alternatively, the statistics of the second device entity may include statistics obtained by the second device entity from long-term measurements of the air interface.

[0299] Optionally, the information related to the second device entity includes at least one of the following: information about the terminal in the corresponding carrier or bandwidth portion; statistical information about a terminal in multiple carriers or bandwidth portions; and statistical information about multiple terminals.

[0300] Optionally, the first preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0301] Optionally, the information processing device 500 further includes:

[0302] The first sending module is used to report second auxiliary information to the first device entity. The second auxiliary information includes at least one of the public key of the encryption process and the network parameter suggestion information of the preset neural network.

[0303] Optionally, the second preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0304] Optionally, the second device entity is used to provide network services to the terminal, and the second device entity is a base station, core network equipment, or other network elements other than the base station or core network equipment.

[0305] Optionally, the first processing method includes a method of processing using a first neural network, and the first sub-information includes neural network-related information of the first neural network.

[0306] Optionally, the neural network-related information includes at least one of the neural network structure and neural network parameters.

[0307] Optionally, the first device entity includes a set consisting of one or at least two of the following: a base station, a local management function (LMF), a network data analysis function (NWDAF), a first network element, and a second network element. The first network element is used to execute the second processing method, and the second network element is used for at least one of the following: collecting information required to execute the second processing method; and performing information calculation on the information required to execute the second processing method.

[0308] Optionally, the information processing device 500 further includes:

[0309] The first interaction module is configured to communicate with the first device entity and determine at least one of the following:

[0310] Does the terminal have the ability to perform business prediction operations based on the first processing method?

[0311] When the terminal performs the business prediction operation, the available terminal-related information;

[0312] The probability of transmitting different types of services within a preset time period.

[0313] Optionally, the methods for hiding information features include at least one of the following:

[0314] Encryption processing and feature abstraction using a pre-defined neural network.

[0315] Optionally, when the first information includes result information obtained based on the second processing method, the information processing device 500 further includes:

[0316] A first sending module is configured to send second information to the first device entity, the second information including at least one of the following:

[0317] Information used to determine the second processing method;

[0318] In the case where the second processing method is a method of processing using a second neural network, the suggested information for the network parameters of the second neural network is provided.

[0319] Optionally, the terminal-related information includes at least one of the following: location information, occupation or social status information, social relationship network information, historical business information, current business status information, and physiological indicator information.

[0320] Optionally, the second sub-information includes information obtained by aggregating the terminal-related information and the second device-related information, or information obtained by hiding information features of the information obtained by aggregating the terminal-related information and the second device-related information.

[0321] Optionally, if the third processing method includes a method of processing using a third neural network, and the first information is an indication for requesting third sub-information, the information processing apparatus further includes:

[0322] The first sending module is used to send the third sub-information to the first device entity, wherein the third sub-information is the network parameter update information of the third neural network.

[0323] Optionally, the network parameter update information is obtained based on terminal association information and the terminal implementation of training the third neural network.

[0324] The information processing device provided in this application embodiment can achieve... Figure 2 To avoid repetition, the various processes in the method embodiments will not be described again here.

[0325] Please see Figure 6 , Figure 6 This is a structural diagram of an information processing device provided in an embodiment of this application, such as... Figure 6 As shown, the information processing device 600 includes:

[0326] The second sending module 601 is used to send the first information to the terminal;

[0327] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0328] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on a first processing method;

[0329] First sub-information used to indicate the first processing method;

[0330] First auxiliary information used in the first processing method;

[0331] The result information is obtained based on the second processing method;

[0332] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0333] Instructions for requesting third sub-information, which is used to update the third processing method.

[0334] Optionally, the first operation is a business feature extraction related operation.

[0335] Optionally, the business feature extraction related operations include at least one of business prediction, business feature statistics, extraction of key business feature indicators, and business experience statistics.

[0336] Optionally, the input to the second processing method includes the terminal-related information.

[0337] Optionally, the first auxiliary information satisfies any one of the following:

[0338] The first auxiliary information is obtained by processing the first target information through a first preset process;

[0339] The first auxiliary information is the first target information;

[0340] When the terminal and the first device entity are authenticated through a preset interactive authentication process, the first auxiliary information is the first target information;

[0341] The first target information includes information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity.

[0342] Optionally, the information related to the second device entity includes at least one of the following: measurement information of the second device entity, implementation information of the second device entity, and statistical information of the second device entity.

[0343] Optionally, the second device entity implementation information includes at least one of the following: second device entity antenna configuration information, second device entity beam direction information, and second device entity position coordinate information;

[0344] Alternatively, the measurement information of the second device entity may include the measurement information obtained by the second device entity at the air interface;

[0345] Alternatively, the statistics of the second device entity may include statistics obtained by the second device entity from long-term measurements of the air interface.

[0346] Optionally, the information related to the second device entity includes at least one of the following: information about the terminal in the corresponding carrier or bandwidth portion; statistical information about a terminal in multiple carriers or bandwidth portions; and statistical information about multiple terminals.

[0347] Optionally, the first preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0348] Optionally, the information processing device 600 further includes:

[0349] The second receiving module is used to receive second auxiliary information reported by the terminal. The second auxiliary information includes at least one of the public key of the encryption process and the network parameter suggestion information of the preset neural network.

[0350] Optionally, the second preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0351] Optionally, the second device entity is used to provide network services to the terminal, and the second device entity is a base station, core network equipment, or other network elements other than the base station or core network equipment.

[0352] Optionally, the first processing method includes a method of processing using a first neural network, and the first sub-information includes neural network-related information of the first neural network.

[0353] Optionally, the neural network-related information includes at least one of the neural network structure and neural network parameters.

[0354] Optionally, the first device entity includes a set consisting of one or at least two of the following: a base station, a local management function (LMF), a network data analysis function (NWDAF), a first network element, and a second network element. The first network element is used to execute the second processing method, and the second network element is used for at least one of the following: collecting information required to execute the second processing method; and performing information calculation on the information required to execute the second processing method.

[0355] Optionally, the information processing device 600 further includes:

[0356] The second interaction module is used to communicate with the terminal and determine at least one of the following:

[0357] Does the terminal have the ability to perform business prediction operations based on the first processing method?

[0358] When the terminal performs the business prediction operation, the available terminal-related information;

[0359] The probability of transmitting different types of services within a preset time period.

[0360] Optionally, the methods for hiding information features include at least one of the following:

[0361] Encryption processing and feature abstraction using a pre-defined neural network.

[0362] Optionally, when the first information includes result information obtained based on the second processing method, the information processing device further includes:

[0363] The second receiving module is configured to receive second information sent by the terminal, the second information including at least one of the following:

[0364] Information used to determine the second processing method;

[0365] In the case where the second processing method is a method of processing using a second neural network, the suggested information for the network parameters of the second neural network is provided.

[0366] Optionally, the first preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0367] Optionally, the information processing device 600 further includes:

[0368] The second receiving module is used to receive second auxiliary information sent by the terminal. The second auxiliary information includes at least one of the public key of the encryption process and the network parameter suggestion information of the preset neural network.

[0369] Optionally, after the first device entity receives the second auxiliary information sent by the terminal, the second sending module is further configured to: send the second auxiliary information to the second device entity.

[0370] Optionally, the terminal-related information includes at least one of the following: location information, occupation or social status information, social relationship network information, historical business information, current business status information, and physiological indicator information.

[0371] Optionally, the second sub-information includes information obtained by aggregating the terminal-related information and the second device-related information, or information obtained by hiding information features of the information obtained by aggregating the terminal-related information and the second device-related information.

[0372] Optionally, when the third processing method includes a method of processing using a third neural network, and the first information is an indication for requesting third sub-information, after the first device entity sends the first information to the terminal, the information processing apparatus 600 further includes:

[0373] The second receiving module is used to receive the third sub-information sent by the terminal, wherein the third sub-information is the network parameter update information of the third neural network.

[0374] Optionally, the network parameter update information is obtained based on terminal association information and the terminal implementation of training the third neural network.

[0375] The information processing device provided in this application embodiment can achieve... Figure 3 To avoid repetition, the various processes in the method embodiments will not be described again here.

[0376] Please see Figure 7 , Figure 7 This is a structural diagram of an information processing device provided in an embodiment of this application, such as... Figure 7 As shown, the information processing device 700 includes:

[0377] The third sending module 701 is used to send first target information to the first device entity. The first target information includes information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity. The first target information is used to determine the first information sent by the first device entity to the terminal.

[0378] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0379] First sub-information used to indicate the first processing method;

[0380] First auxiliary information used in the first processing method;

[0381] The result information is obtained based on the second processing method.

[0382] Optionally, the first operation is a business feature extraction related operation.

[0383] Optionally, the business feature extraction related operations include at least one of business prediction, business feature statistics, extraction of key business feature indicators, and business experience statistics.

[0384] Optionally, the information processing device 700 further includes:

[0385] The third receiving module is used to receive a first request sent by the first device entity, the first request being used to obtain relevant information about the second device entity.

[0386] Optionally, the input to the second processing method includes the terminal-related information.

[0387] Optionally, the first auxiliary information satisfies any one of the following:

[0388] The first auxiliary information is obtained by processing the first target information through a first preset process;

[0389] The first auxiliary information is the first target information;

[0390] When the terminal and the first device entity are authenticated through a preset interactive authentication process, the first auxiliary information is the first target information;

[0391] The first target information includes information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity.

[0392] Optionally, the information related to the second device entity includes at least one of the following: measurement information of the second device entity, implementation information of the second device entity, and statistical information of the second device entity.

[0393] Optionally, the second device entity implementation information includes at least one of the following: second device entity antenna configuration information, second device entity beam direction information, and second device entity position coordinate information;

[0394] Alternatively, the measurement information of the second device entity may include the measurement information obtained by the second device entity at the air interface;

[0395] Alternatively, the statistics of the second device entity may include statistics obtained by the second device entity from long-term measurements of the air interface.

[0396] Optionally, the information related to the second device entity includes at least one of the following: information about the terminal in the corresponding carrier or bandwidth portion; statistical information about a terminal in multiple carriers or bandwidth portions; and statistical information about multiple terminals.

[0397] Optionally, the first preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0398] Optionally, the information processing method further includes:

[0399] The third receiving module is used to receive second auxiliary information sent by the first device entity or terminal. The second auxiliary information includes at least one of the public key of the encryption process and the network parameter suggestion information of the preset neural network.

[0400] Optionally, the second preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0401] Optionally, the second device entity is used to provide network services to the terminal, and the second device entity is a base station, core network equipment, or other network elements other than the base station or core network equipment.

[0402] Optionally, the first processing method includes a method of processing using a first neural network, and the first sub-information includes neural network-related information of the first neural network.

[0403] Optionally, the neural network-related information includes at least one of the neural network structure and neural network parameters.

[0404] Optionally, the first device entity includes a set consisting of one or at least two of the following: a base station, a local management function (LMF), a network data analysis function (NWDAF), a first network element, and a second network element. The first network element is used to execute the second processing method, and the second network element is used for at least one of the following: collecting information required to execute the second processing method; and performing information calculation on the information required to execute the second processing method.

[0405] The information processing device provided in this application embodiment can achieve... Figure 4 To avoid repetition, the various processes in the method embodiments will not be described again here.

[0406] The information processing device in this application embodiment can be a device, a device with an operating system, or an electronic device, or it can be a component, integrated circuit, or chip in a terminal. The device can be a mobile terminal or a non-mobile terminal. For example, a mobile terminal can include, but is not limited to, the types of terminal 11 listed above, and a non-mobile terminal can be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc., and this application embodiment does not make specific limitations.

[0407] The information processing device provided in this application embodiment can achieve... Figures 2 to 4 The various processes implemented in the method embodiments achieve the same technical effect, and will not be described again here to avoid repetition.

[0408] Optional, such as Figure 8 As shown, this application embodiment also provides a communication device 800, including a processor 801, a memory 802, and a program or instructions stored in the memory 802 and executable on the processor 801. When the program or instructions are executed by the processor 801, they implement the various processes of the above-described information processing method embodiments and achieve the same technical effects. To avoid repetition, they will not be described again here.

[0409] This application embodiment also provides a terminal, including a processor and a communication interface, wherein the communication interface is used to receive first information sent by a first device entity;

[0410] The processor is configured to perform a first operation based on the first information;

[0411] The first information includes at least one of the following:

[0412] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on a first processing method;

[0413] First sub-information used to indicate the first processing method;

[0414] First auxiliary information used in the first processing method;

[0415] The result information is obtained based on the second processing method;

[0416] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0417] Instructions for requesting third sub-information, which is used to update the third processing method. This terminal embodiment corresponds to the aforementioned terminal-side method embodiment; all implementation processes and methods of the aforementioned method embodiments can be applied to this terminal embodiment and achieve the same technical effect. Specifically, Figure 9 A schematic diagram of the hardware structure of a terminal to implement the various embodiments of this application.

[0418] The terminal 900 includes, but is not limited to, at least some of the following components: radio frequency unit 901, network module 902, audio output unit 903, input unit 904, sensor 905, display unit 906, user input unit 907, interface unit 908, memory 909, and processor 910.

[0419] Those skilled in the art will understand that the terminal 900 may also include a power supply (such as a battery) for supplying power to various components. The power supply may be logically connected to the processor 910 through a power management system, thereby enabling functions such as managing charging, discharging, and power consumption through the power management system. Figure 9 The terminal structure shown does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown, or combine certain components, or have different component arrangements, which will not be elaborated here.

[0420] It should be understood that, in this embodiment, the input unit 904 may include a graphics processing unit (GPU) 9041 and a microphone 9042. The GPU 9041 processes image data of still images or videos obtained by an image capture device (such as a camera) in video capture mode or image capture mode. The display unit 906 may include a display panel 9061, which may be configured in the form of a liquid crystal display, an organic light-emitting diode, or the like. The user input unit 907 includes a touch panel 9071 and other input devices 9072. The touch panel 9071 is also called a touch screen. The touch panel 9071 may include a touch detection device and a touch controller. Other input devices 9072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, power buttons, etc.), trackballs, mice, and joysticks, which will not be described in detail here.

[0421] In this embodiment, the radio frequency unit 901 receives downlink data from the network-side device and processes it for the processor 910; additionally, it sends uplink data to the network-side device. Typically, the radio frequency unit 901 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low-noise amplifier, a duplexer, etc.

[0422] The memory 909 can be used to store software programs or instructions and various data. The memory 109 may primarily include a program or instruction storage area and a data storage area. The program or instruction storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 909 may include high-speed random access memory and non-transient memory, which may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. For example, at least one disk storage device, flash memory device, or other non-transient solid-state storage device.

[0423] Processor 910 may include one or more processing units; optionally, processor 910 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications or instructions, and the modem processor mainly handles wireless communication, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into processor 910.

[0424] The radio frequency unit 901 is used to receive first information sent by the first device entity;

[0425] Processor 910 is configured to perform a first operation based on the first information;

[0426] The first information includes at least one of the following:

[0427] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on the first processing method;

[0428] First sub-information used to indicate the first processing method;

[0429] First auxiliary information used in the first processing method;

[0430] The result information is obtained based on the second processing method;

[0431] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0432] Instructions for requesting third sub-information, which is used to update the third processing method.

[0433] Optionally, the first operation is a business feature extraction related operation.

[0434] Optionally, the processor 910 is specifically configured to perform any of the following:

[0435] Perform business feature extraction operations based on the first processing method;

[0436] Send the second sub-information or the third sub-information to the first device entity;

[0437] Business features are extracted from at least a portion of the results.

[0438] Optionally, the business feature extraction related operations include at least one of business prediction, business feature statistics, extraction of key business feature indicators, and business experience statistics.

[0439] Optionally, the input to the second processing method includes the terminal-related information.

[0440] Optionally, the first auxiliary information satisfies any one of the following:

[0441] The first auxiliary information is obtained by processing the first target information through a first preset process;

[0442] The first auxiliary information is the first target information;

[0443] When the terminal and the first device entity are authenticated through a preset interactive authentication process, the first auxiliary information is the first target information;

[0444] The first target information includes information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity.

[0445] Optionally, the information related to the second device entity includes at least one of the following: measurement information of the second device entity, implementation information of the second device entity, and statistical information of the second device entity.

[0446] Optionally, the second device entity implementation information includes at least one of the following: second device entity antenna configuration information, second device entity beam direction information, and second device entity position coordinate information;

[0447] Alternatively, the measurement information of the second device entity may include the measurement information obtained by the second device entity at the air interface;

[0448] Alternatively, the statistics of the second device entity may include statistics obtained by the second device entity from long-term measurements of the air interface.

[0449] Optionally, the information related to the second device entity includes at least one of the following: information about the terminal in the corresponding carrier or bandwidth portion; statistical information about a terminal in multiple carriers or bandwidth portions; and statistical information about multiple terminals.

[0450] Optionally, the first preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0451] Optionally, the radio frequency unit 901 is further configured to report second auxiliary information to the first device entity, the second auxiliary information including at least one of the public key of the encryption process and the network parameter suggestion information of the preset neural network.

[0452] Optionally, the second preset processing includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

[0453] Optionally, the second device entity is used to provide network services to the terminal, and the second device entity is a base station, core network equipment, or other network elements other than the base station or core network equipment.

[0454] Optionally, the first processing method includes a method of processing using a first neural network, and the first sub-information includes neural network-related information of the first neural network.

[0455] Optionally, the neural network-related information includes at least one of the neural network structure and neural network parameters.

[0456] Optionally, the first device entity includes a set consisting of one or at least two of the following: a base station, a local management function (LMF), a network data analysis function (NWDAF), a first network element, and a second network element. The first network element is used to execute the second processing method, and the second network element is used for at least one of the following: collecting information required to execute the second processing method; and performing information calculation on the information required to execute the second processing method.

[0457] Optionally, the radio frequency unit 901 is further configured to communicate with the first device entity to determine at least one of the following:

[0458] Does the terminal have the ability to perform business prediction operations based on the first processing method?

[0459] When the terminal performs the business prediction operation, the available terminal-related information;

[0460] The probability of transmitting different types of services within a preset time period.

[0461] Optionally, the methods for hiding information features include at least one of the following:

[0462] Encryption processing and feature abstraction using a pre-defined neural network.

[0463] Optionally, the radio frequency unit 901 is further configured to send second information to the first device entity when the first information includes result information obtained based on the second processing method, wherein the second information includes at least one of the following:

[0464] Information used to determine the second processing method;

[0465] In the case where the second processing method is a method of processing using a second neural network, the suggested information for the network parameters of the second neural network is provided.

[0466] Optionally, the terminal-related information includes at least one of the following: location information, occupation or social status information, social relationship network information, historical business information, current business status information, and physiological indicator information.

[0467] Optionally, the second sub-information includes information obtained by aggregating the terminal-related information and the second device-related information, or information obtained by hiding information features of the information obtained by aggregating the terminal-related information and the second device-related information.

[0468] Optionally, the radio frequency unit 901 is further configured to send the third sub-information to the first device entity when the third processing method includes a method of processing using a third neural network and the first information is an indication for requesting third sub-information, wherein the third sub-information is network parameter update information of the third neural network.

[0469] Optionally, the network parameter update information is obtained based on terminal association information and the terminal implementation of training the third neural network.

[0470] This application embodiment also provides a network-side device, including a processor and a communication interface, wherein the communication interface is used to send first information to a terminal;

[0471] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0472] A business feature extraction request, wherein the business feature extraction request is used to instruct the terminal to perform the first operation based on a first processing method;

[0473] First sub-information used to indicate the first processing method;

[0474] First auxiliary information used in the first processing method;

[0475] The result information is obtained based on the second processing method;

[0476] Instructions for requesting second sub-information, the second sub-information including terminal-related information or information obtained by hiding information features of terminal-related information;

[0477] Instructions for requesting third sub-information, which is used to update the third processing method.

[0478] Alternatively, the communication interface is used to send first target information to the first device entity, the first target information including information related to the second device entity or information obtained by performing a second preset processing on the information related to the second device entity, the first target information being used to determine the first information sent by the first device entity to the terminal;

[0479] The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following:

[0480] First sub-information used to indicate the first processing method;

[0481] First auxiliary information used in the first processing method;

[0482] The result information is obtained based on the second processing method. This network-side device embodiment corresponds to the network-side device method embodiment described above. All implementation processes and methods of the above method embodiments can be applied to this network-side device embodiment and achieve the same technical effect.

[0483] Specifically, embodiments of this application also provide a network-side device. For example... Figure 10 As shown, the network-side device 1000 includes: an antenna 1001, a radio frequency (RF) device 1002, and a baseband device 1003. The antenna 1001 is connected to the RF device 1002. In the uplink direction, the RF device 1002 receives information through the antenna 1001 and transmits the received information to the baseband device 1003 for processing. In the downlink direction, the baseband device 1003 processes the information to be transmitted and sends it to the RF device 1002. The RF device 1002 processes the received information and transmits it through the antenna 1001.

[0484] The aforementioned frequency band processing device can be located in the baseband device 1003. The method executed by the network-side device in the above embodiments can be implemented in the baseband device 1003, which includes a processor 1004 and a memory 1005.

[0485] The baseband device 1003 may include, for example, at least one baseband board on which multiple chips are disposed, such as... Figure 10As shown, one of the chips, for example, is a processor 1004, which is connected to a memory 1005 to call the program in the memory 1005 and execute the network-side device operations shown in the above method embodiment.

[0486] The baseband device 1003 may also include a network interface 1006 for exchanging information with the radio frequency device 1002, such as a common public radio interface (CPRI).

[0487] Specifically, the network-side device in this application embodiment further includes: instructions or programs stored in memory 1005 and executable on processor 1004, wherein processor 1004 calls the instructions or programs in memory 1005 to execute. Figures 5 to 7 The methods executed by each module shown achieve the same technical effect, and to avoid repetition, they will not be described in detail here.

[0488] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described information processing method embodiments and achieve the same technical effects. To avoid repetition, they will not be described again here.

[0489] The processor is the processor in the electronic device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.

[0490] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above information processing method embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0491] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0492] This application also provides a program product, which is stored in a non-transient storage medium. The program product is executed by at least one processor to implement the various processes of the above-described information processing method embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0493] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0494] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or base station, etc.) to execute the methods described in the various embodiments of this application.

[0495] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. An information processing method characterized by comprising: Comprising: A terminal receives first information sent by a first device entity; The terminal performs a first operation according to the first information; Wherein, the first information comprises at least one of: A service feature extraction request, the service feature extraction request being used to instruct the terminal to perform the first operation based on a first processing method; First sub-information used to indicate a first processing method; First auxiliary information used for a first processing method; Result information obtained based on a second processing method; An indication used to request third sub-information, the third sub-information being used to update a third processing method; Wherein, the first processing method is used to infer any of: terminal related information; terminal related information and second device entity related information; the input of the first processing method comprises the terminal related information; Wherein, the second processing method is a method used to infer terminal related information or terminal related information and second device entity related information; the input of the second processing method comprises the terminal related information; Wherein, the third processing method is the first processing method or the second processing method; Wherein, the first auxiliary information satisfies any of: The first auxiliary information is obtained after the first target information is subjected to a first preset processing; The first auxiliary information is information obtained by second preset processing on second device entity related information; In a case where the terminal and the first device entity are authenticated through a preset interactive authentication process, the first auxiliary information is the first target information; Wherein, the first target information comprises second device entity related information or information obtained by second preset processing on second device entity related information; Wherein, the first device entity and the second device entity are both device entities on the network side.

2. The method of claim 1, wherein, The first operation is a service feature extraction related operation.

3. The method of claim 2, wherein, The terminal performing a first operation according to the first information comprises any of: The terminal performs a service feature extraction related operation based on the first processing method; The terminal sends the third sub-information to the first device entity; The terminal performs service feature extraction on at least part of the result information.

4. The method according to claim 2 or 3, characterized in that, The service feature extraction related operation comprises at least one of service prediction, service feature statistics, service feature key indicator extraction, and service experience statistics.

5. The method of claim 1, wherein, The second device entity related information comprises at least one of second device entity measurement information, second device entity implementation information, and second device entity statistical information.

6. The method of claim 5, wherein, The second device entity implementation information comprises at least one of second device entity antenna configuration information, second device entity beam direction information, and second device entity location coordinate information; Or, the second device entity measurement information comprises measurement information obtained by the second device entity on an air interface; Or, the second device entity statistical information comprises statistical information obtained by the second device entity through long-term measurement on an air interface.

7. The method of claim 1, wherein, The second device entity related information comprises at least one of: information of the terminal on a corresponding carrier or bandwidth part; statistical information of one terminal on multiple carriers or bandwidth parts; statistical information of multiple terminals.

8. The method of claim 1, wherein, The first preset processing or the second preset processing comprises at least one of the following: encryption processing and feature abstraction processing using a preset neural network.

9. The method of claim 8, wherein, The method further comprises: The terminal reports second auxiliary information to the first device entity, and the second auxiliary information comprises at least one of the following: a public key of the encryption processing and suggestion information of network parameters of the preset neural network.

10. The method of claim 1, wherein, The second device entity is configured to provide network services for the terminal, and the second device entity is a base station, a core network device or another network element other than the base station and the core network device.

11. The method of claim 1, wherein, The first processing method comprises a method of processing using a first neural network, the first sub-information comprises neural network related information of the first neural network, and the neural network related information comprises at least one of the following: a structure of the neural network and a parameter of the neural network.

12. The method of claim 1, wherein, The first device entity comprises one or at least two of the following: a base station, a local management function (LMF), a network data analysis function (NWDAF), a first network element and a second network element, the first network element is configured to execute the second processing method, and the second network element is configured to perform at least one of the following: information collection and information calculation of information required for executing the second processing method.

13. The method of claim 1, wherein, The method further comprises: The terminal communicates with the first device entity and determines at least one of the following: Whether the terminal has the capability of performing a service prediction operation based on the first processing method; Terminal related information available when the terminal performs the service prediction operation; Probability of different types of service transmission within a preset time period.

14. The method of claim 1, wherein, The manner of information feature hiding comprises at least one of the following: Encryption processing and feature abstraction processing using a preset neural network.

15. The method of claim 14, wherein, In a case where the first information comprises result information obtained based on a second processing method, the method further comprises: The terminal sends second information to the first device entity, and the second information comprises at least one of the following: Information used for determining the second processing method; Suggestion information of network parameters of a second neural network in a case where the second processing method is a method of processing using the second neural network.

16. The method of claim 1, wherein, The terminal related information comprises at least one of the following: location information, occupation or social status information, social relationship network information, historical service information, current service state information and physiological index information.

17. The method of claim 1, wherein, The first information further comprises an indication used for requesting second sub-information, and the second sub-information comprises terminal related information or information obtained by performing information feature hiding on the terminal related information.

18. The method of claim 17, wherein, The second sub-information comprises information aggregated by the terminal related information and second device related information, or information obtained by performing information feature hiding on information aggregated by the terminal related information and the second device related information.

19. The method of claim 1, wherein, In a case where the third processing method comprises a method of processing using a third neural network, and the first information is an indication used for requesting third sub-information, after the terminal receives the first information sent by the first device entity, the method further comprises: The terminal sends the third sub-information to the first device entity, and the third sub-information is network parameter update information of the third neural network.

20. The method of claim 19, wherein, The network parameter update information is obtained based on terminal association information and terminal implementation of training of the third neural network.

21. An information processing method characterized by comprising: The method comprises: The first device entity sends first information to the terminal. The first information is used to trigger the terminal to perform a first operation, and the first information comprises at least one of the following: A service feature extraction request, the service feature extraction request being used to instruct the terminal to perform the first operation based on a first processing method; First sub-information used to indicate the first processing method; First auxiliary information used for the first processing method; Result information obtained based on a second processing method; An indication used to request third sub-information, the third sub-information being used to update a third processing method; The first processing method is used to infer any of the following: terminal related information; terminal related information and second device entity related information; and an input of the first processing method comprises the terminal related information. The second processing method is a method used to infer terminal related information or terminal related information and second device entity related information; and an input of the second processing method comprises the terminal related information. The third processing method is the first processing method or the second processing method. The first auxiliary information is obtained by performing first preset processing on first target information; The first auxiliary information is information obtained by performing second preset processing on second device entity related information; In a case where the terminal and the first device entity are authenticated through a preset interactive authentication process, the first auxiliary information is first target information; The first target information comprises second device entity related information or information obtained by performing second preset processing on second device entity related information. The first device entity and the second device entity are both device entities on a network side.

22. The method of claim 21, wherein, The first operation is a service feature extraction related operation.

23. The method of claim 22, wherein, The service feature extraction related operation comprises at least one of service prediction, service feature statistics, service feature key indicator extraction, and service experience statistics.

24. The method of claim 21, wherein, The second device entity related information comprises at least one of second device entity measurement information, second device entity implementation information, and second device entity statistics information.

25. The method of claim 24, wherein, The second device entity implementation information comprises at least one of second device entity antenna configuration information, second device entity beam direction information, and second device entity location coordinate information. Alternatively, the second device entity measurement information comprises measurement information obtained by the second device entity on an air interface. Alternatively, the second device entity statistics information comprises statistics information obtained by the second device entity through long-term measurement on an air interface.

26. The method of claim 21, wherein, The second device entity related information comprises at least one of the following: information of the terminal on a corresponding carrier or bandwidth part; statistics information of one terminal on multiple carriers or bandwidth parts; and statistics information of multiple terminals.

27. The method of claim 22, wherein, The method further comprises: The first device entity communicates with the terminal and determines at least one of the following: whether the terminal has the capability of performing a service prediction operation based on the first processing method; terminal-related information available when the terminal performs the service prediction operation; a probability of different types of service transmission within a preset time period.

28. The method of claim 21, wherein, The first preset processing or the second preset processing method includes at least one of the following: encryption processing and feature abstraction processing using a preset neural network; the method further includes: The first device entity receives second auxiliary information sent by the terminal, and the second auxiliary information includes at least one of the following: a public key of the encryption processing and suggestion information of network parameters of the preset neural network.

29. The method of claim 28, wherein, After the first device entity receives the second auxiliary information sent by the terminal, the method further includes: The first device entity sends the second auxiliary information to the second device entity.

30. The method of claim 21, wherein, The terminal-related information includes at least one of the following: location information, occupation or social status information, social relationship network information, historical service information, current service state information, and physiological index information.

31. The method of claim 21, wherein, The first information further includes an indication for requesting second sub-information, and the second sub-information includes terminal-related information or information obtained by hiding information features of terminal-related information.

32. The method of claim 31, wherein, The second sub-information includes information aggregated by the terminal-related information and second device entity-related information, or information obtained by hiding information features of information aggregated by the terminal-related information and the second device-related information.

33. An information processing method characterized by comprising: includes: The second device entity sends first target information to the first device entity, and the first target information includes second device entity-related information or information obtained by performing second preset processing on second device entity-related information, and the first target information is used to determine first information sent by the first device entity to the terminal; The first information is used to trigger the terminal to perform a first operation, and the first information includes at least one of the following: first sub-information for indicating a first processing method; first auxiliary information for the first processing method; result information obtained based on a second processing method; The first processing method is used to infer any of the following: terminal-related information; terminal-related information and second device entity-related information; and an input of the first processing method includes the terminal-related information; The second processing method is a method for inferring terminal-related information or terminal-related information and second device entity-related information; and an input of the second processing method includes the terminal-related information; The first auxiliary information satisfies any of the following: The first auxiliary information is obtained by performing first preset processing on first target information; The first auxiliary information is information obtained by performing second preset processing on second device entity-related information; In a case where the terminal and the first device entity are authenticated through a preset interactive authentication process, the first auxiliary information is the first target information; The first target information includes second device entity-related information or information obtained by performing second preset processing on second device entity-related information; The first device entity and the second device entity are both device entities on a network side.

34. The method of claim 33, wherein, The first operation is a service feature extraction related operation.

35. The method of claim 34, wherein, The service feature extraction related operation includes at least one of service prediction, service feature statistics, service feature key indicator extraction, and service experience statistics.

36. The method of claim 33, wherein, Before the second device entity sends the first target information to the first device entity, the method further includes: The second device entity receives the first request sent by the first device entity, and the first request is used to acquire information related to the second device entity.

37. The method of claim 33, wherein, The second device entity is used to provide network services for the terminal, and the second device entity is a base station, a core network device, or other network elements other than the base station and the core network device.

38. An information processing apparatus for application in a terminal, comprising: The first receiving module is configured to receive first information sent by a first device entity. The execution module is configured to execute a first operation according to the first information. The first information includes at least one of the following: A service feature extraction request, the service feature extraction request is used to instruct the terminal to execute the first operation based on a first processing method; First sub-information used to indicate the first processing method; First auxiliary information used for the first processing method; Result information obtained based on a second processing method; An indication used to request third sub-information, the third sub-information is used to update a third processing method; The first processing method is used to infer any of the following: terminal related information; terminal related information and second device entity related information; the input of the first processing method includes the terminal related information; The second processing method is a method used to infer terminal related information or terminal related information and second device entity related information; the input of the second processing method includes the terminal related information; The third processing method is the first processing method or the second processing method; The first auxiliary information satisfies any of the following: The first auxiliary information is obtained by performing first preset processing on the first target information; The first auxiliary information is information obtained by performing second preset processing on second device entity related information; In a case where the terminal and the first device entity are authenticated through a preset interactive authentication process, the first auxiliary information is the first target information; The first target information includes second device entity related information or information obtained by performing second preset processing on second device entity related information; The first device entity and the second device entity are both device entities on a network side. The first operation is a service feature extraction related operation.

39. The device of claim 38, wherein, The execution module is specifically used to execute at least one of the following:

40. The device of claim 38, wherein, Perform a service feature extraction related operation based on the first processing method; Send the third sub-information to the first device entity; Perform service feature extraction on at least part of the result information. The service feature extraction related operation includes at least one of service prediction, service feature statistics, service feature key indicator extraction, and service experience statistics.

41. The device of claim 38, wherein, The first auxiliary information satisfies any of the following:

42. The device of claim 38, wherein, ​ The first auxiliary information is obtained by performing first preset processing on first target information. The first auxiliary information is first target information. In a case where the terminal and the first device entity perform authentication through a preset interactive authentication process, the first auxiliary information is first target information. The first target information includes second device entity related information or information obtained by performing second preset processing on second device entity related information.

43. The device of claim 38, wherein, The terminal related information includes at least one of the following: location information, occupation or social status information, social relationship network information, historical service information, current service state information, and physiological index information.

44. The device of claim 38, wherein, The first information further includes an indication for requesting second sub-information, and the second sub-information includes terminal related information or information obtained by performing information feature hiding on terminal related information.

45. An information processing apparatus for use in a first device entity, the information processing apparatus comprising: The first information includes at least one of the following: A service feature extraction request, the service feature extraction request being used to instruct the terminal to perform the first operation based on a first processing method; First sub-information used to indicate the first processing method; First auxiliary information used for the first processing method; Result information obtained based on a second processing method; An indication for requesting third sub-information, the third sub-information being used to update a third processing method; The first processing method is used to infer any of the following: terminal related information; terminal related information and second device entity related information; and an input of the first processing method includes the terminal related information. The second processing method is a method used to infer terminal related information or terminal related information and second device entity related information; and an input of the second processing method includes the terminal related information. The third processing method is the first processing method or the second processing method. The first auxiliary information satisfies any of the following: The first auxiliary information is obtained by performing first preset processing on first target information. The first auxiliary information is information obtained by performing second preset processing on second device entity related information. In a case where the terminal and the first device entity perform authentication through a preset interactive authentication process, the first auxiliary information is first target information. The first target information includes second device entity related information or information obtained by performing second preset processing on second device entity related information. The first device entity and the second device entity are both device entities on a network side. The first operation is a service feature extraction related operation. The terminal related information includes at least one of the following: location information, occupation or social status information, social relationship network information, historical service information, current service state information, and physiological index information.

46. The device of claim 45, wherein, The first information further includes an indication for requesting second sub-information, and the second sub-information includes terminal related information or information obtained by performing information feature hiding on terminal related information.

47. The device of claim 45 or 46, wherein, The first information includes at least one of the following:

48. The device of claim 47, wherein, ​ 49. An information processing apparatus for a second device entity, comprising: ​ The third sending module is configured to send first target information to the first device entity, the first target information comprising second device entity related information or information obtained by performing second preset processing on the second device entity related information, and the first target information being used to determine first information sent by the first device entity to the terminal; The first information is used to trigger the terminal to perform a first operation, and the first information comprises at least one of the following: First sub-information used to indicate a first processing method; First auxiliary information used for the first processing method; Result information obtained based on a second processing method; The first processing method is used to infer any of the following: terminal related information; and terminal related information and second device entity related information; The second processing method is a method used to infer terminal related information or terminal related information and second device entity related information; The first auxiliary information satisfies any of the following: The first auxiliary information is obtained by performing first preset processing on the first target information; The first auxiliary information is information obtained by performing second preset processing on the second device entity related information; In a case where the terminal and the first device entity perform authentication through a preset interactive authentication process, the first auxiliary information is the first target information. The first target information comprises second device entity related information or information obtained by performing second preset processing on the second device entity related information.

50. The device of claim 49, wherein, The first operation is a service feature extraction related operation.

51. The device of claim 49, wherein, The terminal related information comprises at least one of the following: location information, occupation or social status information, social relationship network information, historical service information, current service state information, and physiological index information.

52. A terminal, comprising: The information processing method comprises: A memory, a processor, and a program or instructions stored in the memory and executable on the processor, the program or instructions being executed by the processor to implement the steps in the information processing method according to any one of claims 1 to 20.

53. A network-side device, comprising: The information processing method comprises: A memory, a processor, and a program or instructions stored in the memory and executable on the processor, the program or instructions being executed by the processor to implement the steps in the information processing method according to any one of claims 21 to 37.

54. A readable storage medium characterized by, The program or instructions are stored on the readable storage medium and executed by the processor to implement the steps in the information processing method according to any one of claims 1 to 37.

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