WO2024067437A1 - 模型去激活方法、信息发送方法、装置及设备 - Google Patents

模型去激活方法、信息发送方法、装置及设备 Download PDF

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Publication number
WO2024067437A1
WO2024067437A1 PCT/CN2023/120928 CN2023120928W WO2024067437A1 WO 2024067437 A1 WO2024067437 A1 WO 2024067437A1 CN 2023120928 W CN2023120928 W CN 2023120928W WO 2024067437 A1 WO2024067437 A1 WO 2024067437A1
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condition
information
mapping
mapping processing
identifier
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English (en)
French (fr)
Inventor
周通
孙鹏
吴昊
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Vivo Mobile Communication Co Ltd
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Vivo Mobile Communication Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/04—Arrangements for maintaining operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic

Definitions

  • the present application belongs to the field of communication technology, and specifically relates to a model deactivation method, an information sending method, a device and equipment.
  • newly introduced communication equipment performs information reasoning based on inference models, for example, channel information prediction based on inference models, or beam information prediction based on inference models, etc.
  • the reasoning is always in an activated state, that is, the communication equipment always uses the inference model for prediction until the communication result based on the result predicted by the inference model indicates that the prediction performance of the inference model has seriously deteriorated.
  • the specific process is to communicate based on the result predicted by the inference model, measure the communication, and judge whether the prediction performance of the inference model has seriously deteriorated based on the measurement result. If so, the inference model is deactivated. In this way, since the inference model is deactivated only when the prediction result of the inference model has seriously deteriorated, the prediction performance of the inference model is relatively poor.
  • the embodiments of the present application provide a model deactivation method, information sending method, device and equipment, which can solve the problem of poor prediction performance of the inference model.
  • a model deactivation method comprising:
  • the first device receives first information sent by the second device, where the first information is used to indicate information related to a first condition, where the first condition includes: supporting a target mapping processing mode;
  • the first device When the first condition is not met, the first device performs a deactivation operation on the inference model, the inference model corresponds to mapping data, and the mapping data is data obtained through the target mapping processing method.
  • a method for sending information comprising:
  • the second device sends first information to the first device, where the first information is used to indicate information related to a first condition, where the first condition includes: supporting a target mapping processing method.
  • a model deactivation device comprising:
  • a receiving module configured to receive first information sent by a second device, wherein the first information is used to indicate information related to a first condition, wherein the first condition includes: supporting a target mapping processing mode;
  • An operation module is used to perform a deactivation operation on the inference model when the first condition is not met, the inference model corresponds to mapping data, and the mapping data is data obtained through the target mapping processing method.
  • an information sending device including:
  • the sending module is used to send first information to the first device, where the first information is used to indicate information related to a first condition, and the first condition includes: supporting a target mapping processing method.
  • a communication device which includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the model deactivation method provided in the embodiment of the present application are implemented.
  • a communication device comprising a processor and a communication interface, wherein the communication interface is used to receive first information sent by a second device, the first information is used to indicate information related to a first condition, the first condition comprising: supporting a target mapping processing method; the processor is used to perform a deactivation operation on an inference model, the inference model corresponds to mapping data, and the mapping data is data obtained through the target mapping processing method.
  • a communication device which includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the information sending method provided in the embodiment of the present application are implemented.
  • a communication device comprising a processor and a communication interface, wherein the communication interface is used to send first information to a first device, the first information is used to indicate information related to a first condition, and the first condition includes: supporting a target mapping processing method.
  • a model deactivation system comprising: a first device and a second device, wherein the first device can be used to execute the steps of the model deactivation method provided in the embodiment of the present application, and the second device can be used to execute the steps of the information sending method provided in the embodiment of the present application.
  • a readable storage medium on which a program or instruction is stored.
  • the program or instruction is executed by a processor, the steps of the model deactivation method provided in the embodiment of the present application are implemented, or the steps of the information sending method provided in the embodiment of the present application are implemented.
  • a chip comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement a model deactivation method as provided in an embodiment of the present application, or to implement an information sending method as provided in an embodiment of the present application.
  • a computer program/program product is provided, wherein the computer program/program product is stored in a storage medium, and the computer program/program product is executed by at least one processor to implement the steps of the model deactivation method provided in the embodiment of the present application, or the computer program/program product is executed by at least one processor to implement the steps of the information sending method provided in the embodiment of the present application.
  • a first device receives first information sent by a second device, the first information is used to indicate information related to a first condition, the first condition includes: supporting a target mapping processing method; the first device performs a deactivation operation on an inference model when the first condition is not met, the inference model corresponds to mapping data, and the mapping data is data obtained by the target mapping processing method.
  • the first condition can be achieved when the first condition is not met.
  • the inference model is deactivated to avoid the deterioration of the prediction performance of the inference model, thereby improving the prediction performance of the inference model.
  • FIG1 is a block diagram of a wireless communication system to which an embodiment of the present application can be applied;
  • FIG2 is a flow chart of a model deactivation method provided in an embodiment of the present application.
  • FIG3 is a flow chart of an information sending method provided in an embodiment of the present application.
  • FIG4 is a structural diagram of a model deactivation device provided in an embodiment of the present application.
  • FIG5 is a structural diagram of an information sending device provided in an embodiment of the present application.
  • FIG6 is a structural diagram of a communication device provided in an embodiment of the present application.
  • FIG7 is a structural diagram of another communication device provided in an embodiment of the present application.
  • FIG8 is a structural diagram of another communication device provided in an embodiment of the present application.
  • first, second, etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way are interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by “first” and “second” are generally of the same type, and the number of objects is not limited.
  • the first object can be one or more.
  • “and/or” in the specification and claims represents at least one of the connected objects, and the character “/" generally represents that the objects associated with each other are in an "or” relationship.
  • LTE Long Term Evolution
  • LTE-A Long Term Evolution
  • CDMA Code Division Multiple Access
  • TDMA Time Division Multiple Access
  • FDMA Frequency Division Multiple Access
  • OFDMA Orthogonal Frequency Division Multiple Access
  • SC-FDMA Single-carrier Frequency Division Multiple Access
  • NR new radio
  • FIG1 is a block diagram of a wireless communication system applicable to the embodiment of the present application.
  • the wireless communication system includes a terminal 11 and network side equipment 12.
  • the terminal 11 can be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer) or a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a handheld computer, a netbook, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a mobile Internet device (Mobile Internet Device, MID), an augmented reality (augmented reality, AR)/virtual reality (virtual reality, VR) device, a robot, a wearable device (Wearable Device), a vehicle-mounted device (Vehicle User Equipment, VUE), a pedestrian terminal (Pedestrian User Equipment, PUE), a smart home (home equipment with wireless communication function, such as a refrigerator, a television, a washing machine or furniture, etc.), a game console, a personal computer (personal computer, PC), a
  • the network side device 12 may include an access network device or a core network device, wherein the access network device may also be referred to as a radio access network device, a radio access network (RAN), a radio access network function or a radio access network unit.
  • the access network equipment may include a base station, a wireless local area network (WLAN) access point or a WiFi node, etc.
  • the base station may be referred to as a node B, an evolved node B (eNB), an access point, a base transceiver station (BTS), a radio base station, a radio transceiver, a basic service set (BSS), an extended service set (ESS), a home node B, a home evolved node B, a transmitting and receiving point (TRP) or some other suitable term in the field.
  • eNB evolved node B
  • BTS basic service set
  • ESS extended service set
  • TRP transmitting and receiving point
  • the base station is not limited to a specific technical vocabulary. It should be noted that in the embodiment of the present application, only the base station in the NR system is used as an example for introduction, and the specific type of the base station is not limited.
  • the core network equipment may include but is not limited to at least one of the following: core network node, core network function, mobility management entity (Mobility Management Entity, MME), access mobility management function (Access and Mobility Management Function, AMF), session management function (Session Management Function, SMF), user plane function (User Plane Function, UPF), policy control function (Policy Control Function, PCF), policy and charging rules function unit (Policy and Charging Rules Function, PCRF), edge application service discovery function (Edge Application Server Discovery Function, EASDF), unified data management (Unified Data Management, UDM), unified data storage (Unified Data Repository, UDR), home user server (Home Subscriber Server, HSS), centralized network configuration (CNC), network storage function (Network Repository Function, NRF), network exposure function (Network Exposure Function, NEF), local NEF (Local NEF, or L-NEF), binding support function (Binding Support Function, BSF), application function (Application Function, AF), etc. It should be noted that in
  • FIG. 2 is a flow chart of a model deactivation method provided in an embodiment of the present application. As shown in FIG. 2 , The following steps are involved:
  • Step 201 A first device receives first information sent by a second device, where the first information is used to indicate information related to a first condition, where the first condition includes: supporting a target mapping processing method.
  • the first device may be a terminal
  • the second device may be a network side device or a terminal.
  • the first device may be a network side device
  • the second device may be a network side device or a terminal.
  • the above-mentioned first information includes object information that meets the above-mentioned first condition, such as cells, network side equipment, terminals, etc. that meet the first cell.
  • the above-mentioned supported target mapping processing method may be to support model reasoning using the mapping data obtained by the above-mentioned supported target mapping processing method, or the above-mentioned supported target mapping processing method may be to support providing the mapping data obtained by the above-mentioned target mapping processing method.
  • the target mapping processing mode may be a mapping processing mode determined by the first device, or may be a mapping processing mode indicated by the second device.
  • the target mapping processing mode may be a mapping processing mode determined by a third device, wherein the third device is a device providing mapping data or a mapping processing device, for example: the third device performs mapping processing on the collected data according to the target mapping processing mode to obtain mapping data, and the third device may specifically be a network-side device or a terminal.
  • the above-mentioned target mapping processing method may include one or more mapping processing.
  • the mapping processing method refers to mapping the data to avoid data exposure so that the processed data has higher security.
  • the mapping processing can also be called privacy processing, privacy processing, data mapping processing, information mapping processing, etc.
  • the mapping processing method can also be called privacy processing method, privacy processing method, data mapping processing method or information mapping processing method, etc., and the specific names are not limited.
  • Step 202 When the first condition is not met, the first device performs a deactivation operation on the inference model, the inference model corresponds to mapping data, and the mapping data is data obtained through the target mapping processing method.
  • the above-mentioned mapping data may be data obtained by the third device or the second device mapping the data according to the above-mentioned target mapping processing method, such as data obtained by the third device or the second device mapping the collected data according to the above-mentioned target mapping processing method.
  • the above-mentioned inference model corresponds to the mapping data, and the inference model is used to perform inference or prediction based on the mapping data, such as predicting beam information (for example, receiving beam and/or transmitting beam) based on the above-mentioned acquisition data, or predicting channel information based on the above-mentioned mapping data.
  • the first device may perform a deactivation operation on the inference model, which may be to deactivate the inference model when the first condition is not satisfied; or, when the first condition is not satisfied, if the inference model is in a deactivated state, the first device may keep the inference model in a deactivated state.
  • the above-mentioned inference model is kept in an activated state, or the above-mentioned inference model is activated.
  • the above-mentioned non-satisfaction of the first condition may be that the current service cell of the above-mentioned first device does not satisfy the above-mentioned first condition, or the network side device providing service for the above-mentioned first device does not satisfy the above-mentioned first condition, or the location area or the scene where the above-mentioned first device is located does not satisfy the above-mentioned first condition, or the above-mentioned first device does not satisfy the above-mentioned first condition, etc.
  • the first device when the first condition is not met, deactivates the inference model.
  • the first device determines the range of inference that the inference model can be inferred based on the first information, deactivates the inference model outside the range, and activates the inference model within the range.
  • mapping data may also be referred to as mapping data
  • collected data may also be referred to as collected information or collected information.
  • the above steps can be used to deactivate the inference model when the first condition is not met, thereby avoiding the deterioration of the prediction performance of the inference model and improving the prediction performance of the inference model. For example: avoid the inference model from making predictions based on data other than the above mapping data.
  • the information related to the first condition includes at least one of the following:
  • Cells core network functions, network functions, and terminals.
  • the above core network functions may also be referred to as core network equipment.
  • the above network function may be a radio access network function, or referred to as a radio access network device.
  • the above object list may include at least one of the following:
  • Cell list core network function list, network function list, terminal list.
  • the cell satisfying the first condition refers to: a first set of cells including a first identifier of the target mapping processing method, the first set is a set of first mapping relationships, and the first mapping relationship is a mapping relationship between a mapping processing method and an identifier.
  • the first set of cells may include a set of one or more first mapping relationships configured for the first cell.
  • the core network function that meets the first condition refers to: the first set of core network functions includes the first identifier of the target mapping processing method, the first set is a set of first mapping relationships, and the first mapping relationship is a mapping relationship between the mapping processing method and the identifier.
  • the first set of the above-mentioned core network functions may include a set of one or more first mapping relationships stored by the above-mentioned core network functions or configured for the above-mentioned core network functions.
  • the network function that meets the first condition means: a first set of network functions includes a first identifier of the target mapping processing method, the first set is a set of first mapping relationships, and the first mapping relationship is a mapping relationship between a mapping processing method and an identifier.
  • the first set of the above-mentioned network functions may include a set of one or more first mapping relationships stored in the above-mentioned network functions or configured for the above-mentioned network functions.
  • the terminal satisfying the first condition refers to: a first set of terminals including a first identifier of the target mapping processing method, the first set is a set of first mapping relationships, and the first mapping relationship is a mapping relationship between a mapping processing method and an identifier.
  • the first set of the above-mentioned terminals may include a set of one or more first mapping relationships stored in the above-mentioned terminals or configured for the above-mentioned terminals.
  • whether the first condition is satisfied may be determined based on whether the first identifier is included in the corresponding first set.
  • the first device when the first condition is not met, performs a deactivation operation on the inference model, which may include at least one of the following:
  • the object list does not include a target cell of the first device, and in a case where the first device switches to the target cell, deactivating the reasoning model;
  • the first device deactivates the inference model
  • the object list does not include a target network function of the first device, deactivating the reasoning model when the first device switches to the target network function;
  • the first device deactivates the inference model.
  • the target cell is a target cell in the process of cell switching performed by the first device, so as to deactivate the reasoning model during the switching process.
  • the above-mentioned target network function is a network function corresponding to the target cell executed by the above-mentioned first device during the cell switching process, so as to realize deactivation of the inference model during the switching process.
  • the above-mentioned inference model can be deactivated.
  • the inference model may be deactivated when the terminal corresponding to the first device is a terminal in the object list. For example, when the terminal accessing the network function is a terminal in the object list, the network function deactivates the inference model.
  • the list of objects satisfying the first condition may be determined by information interaction between the second device and at least one device, and the information interaction may be used to determine at least one of the following:
  • a cell that meets the first condition a core network function that meets the first condition, a network function that meets the first condition, and a terminal that meets the first condition.
  • the first condition is exchanged through the interface between the base stations to obtain the first information
  • the second device exchanges the first condition through an interface between the access network and the core network to obtain the above-mentioned first information
  • the second device communicates with the core network function through The first condition of the interface interaction is obtained to obtain the first information
  • the terminal can feedback whether the terminal satisfies the first condition. If the first condition is satisfied, feedback the terminal identifier or positive confirmation (Acknowledgement, ACK), otherwise feedback that the first condition satisfaction set is empty.
  • the method further includes:
  • the first device sends a first message to the second device, where the first message includes a first identifier, and the first identifier is used to indicate the target mapping processing method.
  • the first device may indicate the target mapping processing method to the second device.
  • the above-mentioned first identifier can be called a mapping identifier, a privacy identifier, a privacy processing identifier, a data collection identifier, a data acquisition identifier or a data processing identifier.
  • the above-mentioned reasoning model can also be called the reasoning model corresponding to the above-mentioned first identifier.
  • the first information may be determined by the second device based on the first identifier and sent to the first device.
  • the second device can determine the target mapping processing method to be used based on the first identifier.
  • the mapping processing method includes mapping methods 1 to 5.
  • a mapping method or a combination of mapping methods is determined among mapping methods 1 to 5 through the above-mentioned first identifier, and the transformation operations and parameter configurations involved in each mapping method can also be determined.
  • At least one of the following is determined:
  • mapping mode 1 The offset value used by mapping mode 1 is 100;
  • mapping mode 5 The out-of-order operations used by mapping mode 5 are: 4 3 1 5 6 7 8 2.
  • 100 is the parameter configuration of mapping mode 1
  • the transformation sequence 4 3 1 5 6 7 8 2 is the parameter configuration of mapping mode 5.
  • a combination of multiple mapping modes can be used for a data object.
  • a mapping identifier can include mapping processing for multiple data objects. If the same mapping mode but different parameter configurations are used for a data object, they belong to different mapping identifiers.
  • the first message also includes: data collection requirements, and the data collection requirements correspond to the target mapping processing method.
  • the above data collection requirements may indicate the type, quantity, and collection configuration of the data that needs to be collected.
  • the above-mentioned data collection requirements correspond to the target mapping processing method, and the above-mentioned target mapping processing method is used to process the collected data collected according to the above-mentioned data collection requirements, or the collected data collected according to the above-mentioned data collection requirements is mapped using the above-mentioned target mapping processing method.
  • the above data collection requirements may include at least one of the following:
  • the above data collection objects may include at least one of the following:
  • NLOS Cell non-line-of-sight
  • the horizontal width of the above-mentioned beam can be a 3dB, 1dB or 6dB beam width in the horizontal direction of the beam
  • the vertical width of the above-mentioned beam can be a 3dB, 1dB or 6dB beam width in the vertical direction of the beam
  • the above-mentioned beam gain can be a beam gain with an interval of 5 degrees or 10 degrees, etc. centered on the beam pointing.
  • the above-mentioned collection quantity may include at least one of the following:
  • Number of beams, number of terminals, number of network functions, and number of cells are numbers of beams, number of terminals, number of network functions, and number of cells.
  • the collected data corresponding to the data collection requirement is collected by a third device in accordance with the data collection requirement.
  • data collection can be implemented to meet the data collection needs of the third device.
  • the above-mentioned inference model can be used to infer the mapping data corresponding to the collected data.
  • the third device collects the above-mentioned collected data according to the data collection needs, and maps the collected data according to the above-mentioned target mapping processing method to obtain mapping data, and provides the mapping data to the first device.
  • the above-mentioned inference model predicts beam information or channel information based on the mapping data.
  • the above-mentioned third device can provide mapping data within the scope of satisfying the above-mentioned first condition.
  • the target mapping processing method includes at least one of the following:
  • the target mapping processing method is known to the third device but unknown to the first device, which can further improve data security, but this is not limited to this.
  • the target mapping processing method is known to the first device.
  • the above-mentioned bias processing may be bias processing of the data according to a bias value, wherein the bias value is known to the third device but unknown to the third device.
  • the above-mentioned scaling process may be a process of reducing or enlarging the data according to the scaling value, wherein the scaling multiple is known to the third device and is unknown or known to the first device.
  • the above-mentioned function transformation processing can operate on data as a variable of a function, wherein the function used for transformation is known to the third device and is unknown or known to the first device.
  • the multi-dimensional mapping process may be mapping one data into multiple data, wherein the mapping method is known to the third device and is unknown or known to the first device.
  • the above-mentioned disorder processing may be a disorder operation on a set of values, wherein the mapping relationship between the original order and the disorder is known to the third device and unknown or known to the first device, for example, as shown in the following Table 2:
  • Table 2 shows the mapping table between the original order and the physical meaning.
  • the above-mentioned quantization mapping processing may be quantization mapping of a single value, or mapping the beam pointing to a virtual beam identifier, or mapping the data to an identifier, and the mapping relationship is known to the third device, but unknown or known to the first device, for example: mapping to a virtual beam identifier according to the beam pointing, or determining the virtual beam identifier simultaneously according to the horizontal pointing and the vertical pointing, as shown in Table 4 below:
  • the virtual beam identifier is 3.
  • mapping method is to map according to the horizontal direction and the vertical direction respectively, as shown in Table 5 or Table 6 below:
  • the virtual beam identifier is (1, 1).
  • a first device receives first information sent by a second device, the first information being used to indicate information related to a first condition, the first condition including: supporting a target mapping processing method; the first device performs a deactivation operation on an inference model when the first condition is not met, the inference model corresponds to mapping data, and the mapping data is data obtained by the target mapping processing method.
  • the inference model can be deactivated when the first condition is not met, thereby avoiding the deterioration of the prediction performance of the inference model, and further improving the prediction performance of the inference model.
  • FIG. 3 is a flow chart of another information sending method provided in an embodiment of the present application. As shown in FIG. 3, the method includes the following steps:
  • Step 301 The second device sends first information to the first device, where the first information is used to indicate information related to a first condition, and the first condition includes: supporting a target mapping processing method.
  • the information related to the first condition includes at least one of the following:
  • Cells core network functions, network functions, and terminals.
  • the method further includes:
  • the second device interacts with at least one device, and the information interaction is used to determine at least one of the following:
  • a cell that meets the first condition a core network function that meets the first condition, a network function that meets the first condition, and a terminal that meets the first condition.
  • the cells satisfying the first condition refer to a first set of cells including a first identifier of the target mapping processing method
  • the core network function that satisfies the first condition refers to: a first set of core network functions includes a first identifier of the target mapping processing method; and/or
  • the network function satisfying the first condition refers to: a first set of network functions including a first identifier of the target mapping processing method; and/or
  • the terminals satisfying the first condition refer to: a first set of terminals including a first identifier of the target mapping processing mode;
  • the first set is a set of first mapping relationships, and the first mapping relationship is a mapping processing method and a label.
  • the mapping relationship of knowledge is a mapping processing method and a label.
  • the method further includes:
  • the second device receives a first message sent by the first device, where the first message includes a first identifier, and the first identifier is used to indicate the target mapping processing method;
  • the second device determines the first condition based on the first message.
  • the first message also includes: data collection requirements, and the data collection requirements correspond to the target mapping processing method.
  • the data collection requirement includes at least one of the following:
  • the data collection object includes at least one of the following:
  • the collected data corresponding to the data collection requirement is collected by a third device in accordance with the data collection requirement.
  • the target mapping processing method includes at least one of the following:
  • this embodiment is an implementation of the second device corresponding to the embodiment shown in Figure 2. Its specific implementation can refer to the relevant description of the embodiment shown in Figure 2. In order to avoid repeated description, this embodiment will not be repeated.
  • FIG. 4 is a structural diagram of a model deactivation device provided in an embodiment of the present application.
  • the model deactivation device 400 includes:
  • the receiving module 401 is used to receive first information sent by the second device, where the first information is used to indicate information related to a first condition, where the first condition includes: supporting a target mapping processing mode;
  • the operation module 402 is used to perform a deactivation operation on the inference model when the first condition is not met, the inference model corresponds to mapping data, and the mapping data is data obtained by the target mapping processing method.
  • the information related to the first condition includes at least one of the following:
  • Cells core network functions, network functions, and terminals.
  • the operation module 402 is used for at least one of the following:
  • the object list does not include a target cell of the first device, and in a case where the first device switches to the target cell, deactivating the reasoning model;
  • the first device deactivates the inference model
  • the object list does not include a target network function of the first device, deactivating the reasoning model when the first device switches to the target network function;
  • the first device deactivates the inference model.
  • the cells satisfying the first condition refer to: a first set of cells including a first identifier of the target mapping processing method; and/or
  • the core network function that satisfies the first condition refers to: a first set of core network functions includes a first identifier of the target mapping processing method; and/or
  • the network function satisfying the first condition refers to: a first set of network functions including a first identifier of the target mapping processing method; and/or
  • the terminals satisfying the first condition refer to: a first set of terminals including a first identifier of the target mapping processing mode;
  • the first set is a set of first mapping relationships, and the first mapping relationship is a mapping relationship between a mapping processing method and an identifier.
  • the device further comprises:
  • the sending module is used to send a first message to the second device, where the first message includes a first identifier, and the first identifier is used to indicate the target mapping processing method.
  • the first message also includes: data collection requirements, and the data collection requirements correspond to the target mapping processing method.
  • the data collection requirement includes at least one of the following:
  • the data collection object includes at least one of the following:
  • the collected data corresponding to the data collection requirement is collected by a third device in accordance with the data collection requirement.
  • the target mapping processing method includes at least one of the following:
  • the above-mentioned model deactivation device can improve the prediction performance of the inference model.
  • the model deactivation device in the embodiment of the present application can be an electronic device, such as an electronic device with an operating system, or a component in the electronic device, such as an integrated circuit or a chip.
  • the electronic device can be a terminal, or it can be other devices other than a terminal.
  • the terminal can include but is not limited to the types of terminals listed in the embodiment of the present application, and other devices can be servers, network attached storage (NAS), etc., which are not specifically limited in the embodiment of the present application.
  • the model deactivation device provided in the embodiment of the present application can implement each process implemented by the method embodiment shown in Figure 2 and achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • FIG. 5 is a structural diagram of an information sending device provided in an embodiment of the present application.
  • the information sending device 500 includes:
  • the sending module 501 is used to send first information to a first device, where the first information is used to indicate information related to a first condition, and the first condition includes: supporting a target mapping processing method.
  • the information related to the first condition includes at least one of the following:
  • Cells core network functions, network functions, and terminals.
  • the device further comprises:
  • An interaction module is used to interact with at least one device for information, wherein the information interaction is used to determine at least one of the following:
  • a cell that meets the first condition a core network function that meets the first condition, a network function that meets the first condition, and a terminal that meets the first condition.
  • the cells satisfying the first condition refer to a first set of cells including a first identifier of the target mapping processing method
  • the core network function that satisfies the first condition refers to: a first set of core network functions includes a first identifier of the target mapping processing method; and/or
  • the network function satisfying the first condition refers to: a first set of network functions including a first identifier of the target mapping processing method; and/or
  • the terminals satisfying the first condition refer to: a first set of terminals including a first identifier of the target mapping processing mode;
  • the first set is a set of first mapping relationships, and the first mapping relationship is a mapping relationship between a mapping processing method and an identifier.
  • the device further comprises:
  • a receiving module configured to receive a first message sent by the first device, wherein the first message includes a first identifier, and the first identifier is used to indicate the target mapping processing mode;
  • a determination module is used to determine the first condition based on the first message.
  • the first message also includes: data collection requirements, and the data collection requirements correspond to the target mapping processing method.
  • the data collection requirement includes at least one of the following:
  • the data collection object includes at least one of the following:
  • the collected data corresponding to the data collection requirement is collected by a third device in accordance with the data collection requirement.
  • the target mapping processing method includes at least one of the following:
  • the above-mentioned information sending device can improve the prediction performance of the inference model.
  • the information sending device in the embodiment of the present application may be an electronic device, such as an electronic device with an operating system, or a component in an electronic device, such as an integrated circuit or a chip.
  • the electronic device may be a terminal or a network side device.
  • the information sending device provided in the embodiment of the present application can implement each process implemented by the method embodiment shown in Figure 3 and achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • the embodiment of the present application further provides a communication device 600, including a processor 601 and a memory 602, wherein the memory 602 stores a program or instruction that can be run on the processor 601.
  • the communication device 600 is a first device
  • the program or instruction is executed by the processor 601 to implement the various steps of the above-mentioned model deactivation method embodiment, and can achieve the same technical effect.
  • the communication device 600 is a second device
  • the program or instruction is executed by the processor 601 to implement the various steps of the above-mentioned information sending method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • the embodiment of the present application also provides a communication device, including a processor and a communication interface, wherein the communication interface is used to receive first information sent by a second device, the first information is used to indicate information related to a first condition, and the first condition includes: supporting a target mapping processing method; the processor is used to perform a deactivation operation on an inference model, the inference model corresponds to mapping data, and the mapping data is data obtained by the target mapping processing method.
  • This communication device embodiment corresponds to the above-mentioned model deactivation method embodiment, and each implementation process and implementation method of the above-mentioned method embodiment can be applied to the communication device embodiment, and can achieve the same technical effect.
  • FIG7 is a schematic diagram of the hardware structure of a communication device implementing an embodiment of the present application.
  • the communication device 700 includes but is not limited to: a radio frequency unit 701, a network module 702, an audio output unit 703, an input unit 704, a sensor 705, a display unit 706, a user input unit 707, an interface unit 708, a memory 709 and at least some of the components of a processor 710.
  • the communication device 700 can also include a power supply (such as a battery) for supplying power to each component, and the power supply can be logically connected to the processor 710 through a power management system, so as to implement functions such as charging, discharging, and power consumption management through the power management system.
  • a power supply such as a battery
  • the communication device structure shown in FIG7 does not constitute a limitation on the communication device, and the communication device can include more or fewer components than shown in the figure, or combine certain components, or arrange components differently, which will not be described in detail here.
  • the input unit 704 may include a graphics processing unit (GPU) 7041 and a microphone 7042.
  • the graphics processing unit 7041 is used for the video capture mode or the image capture mode.
  • the image data of a static picture or video obtained by an image capture device (such as a camera) in an image capture mode is processed.
  • the display unit 706 may include a display panel 7061, and the display panel 7061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc.
  • the user input unit 707 includes a touch panel 7071 and at least one of other input devices 7072.
  • the touch panel 7071 is also called a touch screen.
  • the touch panel 7071 may include two parts: a touch detection device and a touch controller.
  • Other input devices 7072 may include, but are not limited to, a physical keyboard, function keys (such as a volume control button, a switch button, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.
  • the RF unit 701 can transmit the data to the processor 710 for processing; in addition, the RF unit 701 can send uplink data to the network side device.
  • the RF unit 701 includes but is not limited to an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, etc.
  • the memory 709 can be used to store software programs or instructions and various data.
  • the memory 709 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instruction required for at least one function (such as a sound playback function, an image playback function, etc.), etc.
  • the memory 709 may include a volatile memory or a non-volatile memory, or the memory 709 may include both volatile and non-volatile memories.
  • the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory.
  • the volatile memory may be a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate synchronous dynamic random access memory (DDRSDRAM), an enhanced synchronous dynamic random access memory (ESDRAM), a synchronous link dynamic random access memory (SLDRAM) and a direct memory bus random access memory (DRRAM).
  • the memory 709 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.
  • the processor 710 may include one or more processing units; optionally, the processor 710 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor 710.
  • the above communication device is a first device, and the first device is taken as a terminal for example:
  • the radio frequency unit 701 is configured to receive first information sent by a second device, where the first information is used to indicate information related to a first condition, where the first condition includes: supporting a target mapping processing mode;
  • the processor 710 is used to perform a deactivation operation on the inference model when the first condition is not met, the inference model corresponds to mapping data, and the mapping data is data obtained by the target mapping processing method.
  • the information related to the first condition includes at least one of the following:
  • Cells core network functions, network functions, and terminals.
  • performing a deactivation operation on the inference model includes at least one of the following:
  • the object list does not include a target cell of the first device, and in a case where the first device switches to the target cell, deactivating the reasoning model;
  • the object list does not include a target network function of the first device, deactivating the reasoning model when the first device switches to the target network function;
  • the inference model is deactivated.
  • the cells satisfying the first condition refer to: a first set of cells including a first identifier of the target mapping processing method; and/or
  • the core network function that satisfies the first condition refers to: a first set of core network functions includes a first identifier of the target mapping processing method; and/or
  • the network function satisfying the first condition refers to: a first set of network functions including a first identifier of the target mapping processing method; and/or
  • the terminals satisfying the first condition refer to: a first set of terminals including a first identifier of the target mapping processing mode;
  • the first set is a set of first mapping relationships, and the first mapping relationship is a mapping relationship between a mapping processing method and an identifier.
  • the radio frequency unit 701 is further configured to:
  • a first message is sent to the second device, where the first message includes a first identifier, and the first identifier is used to indicate the target mapping processing method.
  • the first message also includes: data collection requirements, and the data collection requirements correspond to the target mapping processing method.
  • the data collection requirement includes at least one of the following:
  • the data collection object includes at least one of the following:
  • the collected data corresponding to the data collection requirement is collected by a third device in accordance with the data collection requirement.
  • the target mapping processing method includes at least one of the following:
  • the above-mentioned communication device can improve the prediction performance of the inference model.
  • the embodiment of the present application also provides a communication device, including a processor and a communication interface, wherein the communication interface is used to send first information to a first device, the first information is used to indicate information related to a first condition, and the first condition includes: supporting a target mapping processing mode.
  • the communication device embodiment corresponds to the above-mentioned information sending method embodiment, and each implementation process and implementation method of the above-mentioned method embodiment can be applied to the communication device embodiment and can achieve the same technical effect.
  • the communication device 800 includes: an antenna 801, a radio frequency device 802, a baseband device 803, a processor 804 and a memory 805.
  • the antenna 801 is connected to the radio frequency device 802.
  • the radio frequency device 802 receives information through the antenna 801 and sends the received information to the baseband device 803 for processing.
  • the baseband device 803 processes the information to be sent and sends it to the radio frequency device 802.
  • the radio frequency device 802 processes the received information and sends it out through the antenna 801.
  • the method executed by the communication device in the above embodiment may be implemented in the baseband device 803, which includes a baseband processor.
  • the baseband device 803 may include, for example, at least one baseband board, on which multiple chips are arranged, as shown in Figure 8, one of which is, for example, a baseband processor, which is connected to the memory 805 through a bus interface to call the program in the memory 805 and execute the network device operations shown in the above method embodiment.
  • the communication device may also include a network interface 806, which is, for example, a common public radio interface (CPRI).
  • a network interface 806 which is, for example, a common public radio interface (CPRI).
  • CPRI common public radio interface
  • the communication device 800 of the embodiment of the present invention also includes: instructions or programs stored in the memory 805 and executable on the processor 804.
  • the processor 804 calls the instructions or programs in the memory 805 to execute the methods executed by the modules shown in Figure 5 and achieve the same technical effect. To avoid repetition, it will not be described here.
  • the above-mentioned communication device is a second device, and an example is given in which the second device is a wireless access network device.
  • the radio frequency device 802 is used to send first information to the first device, wherein the first information is used to indicate the first
  • the first condition includes: supporting target mapping processing method.
  • the information related to the first condition includes at least one of the following:
  • Cells core network functions, network functions, and terminals.
  • the radio frequency device 802 is further used for:
  • a cell that meets the first condition a core network function that meets the first condition, a network function that meets the first condition, and a terminal that meets the first condition.
  • the cells satisfying the first condition refer to a first set of cells including a first identifier of the target mapping processing method
  • the core network function that satisfies the first condition refers to: a first set of core network functions includes a first identifier of the target mapping processing method; and/or
  • the network function satisfying the first condition refers to: a first set of network functions including a first identifier of the target mapping processing method; and/or
  • the terminals satisfying the first condition refer to: a first set of terminals including a first identifier of the target mapping processing mode;
  • the first set is a set of first mapping relationships, and the first mapping relationship is a mapping relationship between a mapping processing method and an identifier.
  • the radio frequency device 802 is further used for:
  • the processor 804 is configured to determine the first condition based on the first message.
  • the first message also includes: data collection requirements, and the data collection requirements correspond to the target mapping processing method.
  • the data collection requirement includes at least one of the following:
  • the data collection object includes at least one of the following:
  • the collected data corresponding to the data collection requirement is collected by a third device in accordance with the data collection requirement.
  • the target mapping processing method includes at least one of the following:
  • the above-mentioned communication device can improve the prediction performance of the inference model.
  • An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored.
  • a program or instruction is stored.
  • the steps of the model deactivation method or information sending method provided in the embodiment of the present application are implemented.
  • the processor is the processor in the terminal described in the above embodiment.
  • the readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.
  • An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned model deactivation method or information sending method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.
  • the embodiments of the present application further provide a computer program/program product, which is stored in a storage medium and is executed by at least one processor to implement the various processes of the above-mentioned model deactivation method or information sending method embodiments, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.
  • An embodiment of the present application also provides a model deactivation system, including: a first device and a second device, wherein the first device can be used to execute the steps of the model deactivation method provided in the embodiment of the present application, and the network side device can be used to execute the steps of the information sending method provided in the embodiment of the present application.
  • the technical solution of the present application can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM/RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.
  • a storage medium such as ROM/RAM, a magnetic disk, or an optical disk
  • a terminal which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.

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Abstract

本申请公开了一种模型去激活方法、信息发送方法、装置及设备，属于通信技术领域，本申请实施例的模型去激活方法包括：第一设备接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式；所述第一设备在不满足所述第一条件的情况下，对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。

Description

模型去激活方法、信息发送方法、装置及设备
相关申请的交叉引用
本申请主张在2022年9月30日提交的中国专利申请No.202211215844.9的优先权，其全部内容通过引用包含于此。
技术领域
本申请属于通信技术领域，具体涉及一种模型去激活方法、信息发送方法、装置及设备。
背景技术
在一些通信系统中新引入通信设备基于推理模型进行信息推理，例如：基于推理模型进行信道信息预测，或者基于推理模型进行波束信息预测等。通信设备在配置好推理模型后，推理一直处于激活状态，即通信设备一直使用该推理模型进行预测，直到基于推理模型预测的结果进行通信的通信结果表示推理模型预测性能严重恶化。具体过程为，基于推理模型预测的结果进行通信，并对通信进行测量，基于测量结果判断推理模型预测性能是否严重恶化，如是，则去激活推理模型。这样，由于只有在推理模型的预测结果严重恶化的情况下才去激活推理模型，从而导致推理模型的预测性能比较差。
发明内容
本申请实施例提供一种模型去激活方法、信息发送方法、装置及设备，能够解决推理模型的预测性能比较差的问题。
第一方面，提供了一种模型去激活方法，包括：
第一设备接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式；
所述第一设备在不满足所述第一条件的情况下，对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。
第二方面，提供了一种信息发送方法，包括：
第二设备向第一设备发送第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式。
第三方面，提供了一种模型去激活装置，包括：
接收模块，用于接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式；
操作模块，用于在不满足所述第一条件的情况下，对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。
第四方面，提供了一种信息发送装置，包括：
发送模块，用于向第一设备发送第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式。
第五方面，提供了一种通信设备，该通信设备包括处理器和存储器，所述存储器存储可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如本申请实施例提供的模型去激活方法的步骤。
第六方面，提供了一种通信设备，包括处理器及通信接口，其中，所述通信接口用于接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式；所述处理器用于对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。
第七方面，提供了一种通信设备，该通信设备包括处理器和存储器，所述存储器存储可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如本申请实施例提供的信息发送方法的步骤。
第八方面，提供了一种通信设备，包括处理器及通信接口，其中，所述通信接口用于向第一设备发送第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式。
第九方面，提供了一种模型去激活系统，包括：第一设备及第二设备，所述第一设备可用于执行如本申请实施例提供的模型去激活方法的步骤，所述第二设备可用于执行如本申请实施例提供的信息发送方法的步骤。
第十方面，提供了一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序或指令被处理器执行时实现如本申请实施例提供的模型去激活方法的步骤，或者实现如本申请实施例提供的信息发送方法的步骤。
第十一方面，提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现如本申请实施例提供的模型去激活方法，或实现如本申请实施例提供的信息发送方法。
第十二方面，提供了一种计算机程序/程序产品，所述计算机程序/程序产品被存储在存储介质中，所述计算机程序/程序产品被至少一个处理器执行以实现如本申请实施例提供的模型去激活方法的步骤，或者，所述计算机程序/程序产品被至少一个处理器执行以实现如本申请实施例提供的信息发送方法的步骤。
在本申请实施例中，第一设备接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式；所述第一设备在不满足所述第一条件的情况下，对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。这样可以实现在不满足第一条件 的情况下，去激活推理模型，从而避免推理模型的预测性能恶化，进而提高推理模型的预测性能。
附图说明
图1是本申请实施例可应用的一种无线通信系统的框图；
图2是本申请实施例提供的一种模型去激活方法的流程图；
图3是本申请实施例提供的一种信息发送方法的流程图；
图4是本申请实施例提供的一种模型去激活装置的结构图；
图5是本申请实施例提供的一种信息发送装置的结构图；
图6是本申请实施例提供的一种通信设备的结构图；
图7是本申请实施例提供的另一种通信设备的结构图；
图8是本申请实施例提供的另一种通信设备的结构图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书中的术语“第一”、“第二”等是用于区别类似的对象，而不用于描述特定的顺序或先后次序。应该理解这样使用的术语在适当情况下可以互换，以便本申请的实施例能够以除了在这里图示或描述的那些以外的顺序实施，且“第一”、“第二”所区别的对象通常为一类，并不限定对象的个数，例如第一对象可以是一个，也可以是多个。此外，说明书以及权利要求中“和/或”表示所连接对象的至少其中之一，字符“/”一般表示前后关联对象是一种“或”的关系。
值得指出的是，本申请实施例所描述的技术不限于长期演进型(Long Term Evolution，LTE)/LTE的演进(LTE-Advanced，LTE-A)系统，还可用于其他无线通信系统，诸如码分多址(Code Division Multiple Access，CDMA)、时分多址(Time Division Multiple Access，TDMA)、频分多址(Frequency Division Multiple Access，FDMA)、正交频分多址(Orthogonal Frequency Division Multiple Access，OFDMA)、单载波频分多址(Single-carrier Frequency Division Multiple Access，SC-FDMA)和其他系统。本申请实施例中的术语“系统”和“网络”常被可互换地使用，所描述的技术既可用于以上提及的系统和无线电技术，也可用于其他系统和无线电技术。以下描述出于示例目的描述了新空口(New Radio，NR)系统，并且在以下大部分描述中使用NR术语，但是这些技术也可应用于NR系统应用以外的应用，如第6代(6th Generation，6G)通信系统。
图1示出本申请实施例可应用的一种无线通信系统的框图。无线通信系统包括终端11 和网络侧设备12。其中，终端11可以是手机、平板电脑(Tablet Personal Computer)、膝上型电脑(Laptop Computer)或称为笔记本电脑、个人数字助理(Personal Digital Assistant，PDA)、掌上电脑、上网本、超级移动个人计算机(ultra-mobile personal computer，UMPC)、移动上网装置(Mobile Internet Device，MID)、增强现实(augmented reality，AR)/虚拟现实(virtual reality，VR)设备、机器人、可穿戴式设备(Wearable Device)、车载设备(Vehicle User Equipment，VUE)、行人终端(Pedestrian User Equipment，PUE)、智能家居(具有无线通信功能的家居设备，如冰箱、电视、洗衣机或者家具等)、游戏机、个人计算机(personal computer，PC)、柜员机或者自助机等终端侧设备，可穿戴式设备包括：智能手表、智能手环、智能耳机、智能眼镜、智能首饰(智能手镯、智能手链、智能戒指、智能项链、智能脚镯、智能脚链等)、智能腕带、智能服装等。除了上述终端设备，也可以是终端内的芯片，例如调制解调器(Modem)芯片，系统级芯片(System on Chip,SoC)。需要说明的是，在本申请实施例并不限定终端11的具体类型。网络侧设备12可以包括接入网设备或核心网设备，其中，接入网设备也可以称为无线接入网设备、无线接入网(Radio Access Network,RAN)、无线接入网功能或无线接入网单元。接入网设备可以包括基站、无线局域网(Wireless Local Area Networks，WLAN)接入点或WiFi节点等，基站可被称为节点B、演进节点B(eNB)、接入点、基收发机站(Base Transceiver Station，BTS)、无线电基站、无线电收发机、基本服务集(Basic Service Set，BSS)、扩展服务集(Extended Service Set，ESS)、家用B节点、家用演进型B节点、发送接收点(Transmitting Receiving Point，TRP)或所属领域中其他某个合适的术语，只要达到相同的技术效果，所述基站不限于特定技术词汇，需要说明的是，在本申请实施例中仅以NR系统中的基站为例进行介绍，并不限定基站的具体类型。核心网设备可以包含但不限于如下至少一项：核心网节点、核心网功能、移动管理实体(Mobility Management Entity，MME)、接入移动管理功能(Access and Mobility Management Function，AMF)、会话管理功能(Session Management Function，SMF)、用户平面功能(User Plane Function，UPF)、策略控制功能(Policy Control Function，PCF)、策略与计费规则功能单元(Policy and Charging Rules Function，PCRF)、边缘应用服务发现功能(Edge Application Server Discovery Function，EASDF)、统一数据管理(Unified Data Management，UDM)，统一数据仓储(Unified Data Repository，UDR)、归属用户服务器(Home Subscriber Server，HSS)、集中式网络配置(Centralized network configuration，CNC)、网络存储功能(Network Repository Function，NRF)，网络开放功能(Network Exposure Function，NEF)、本地NEF(Local NEF，或L-NEF)、绑定支持功能(Binding Support Function，BSF)、应用功能(Application Function，AF)等。需要说明的是，在本申请实施例中仅以NR系统中的核心网设备为例进行介绍，并不限定核心网设备的具体类型。
下面结合附图，通过一些实施例及其应用场景对本申请实施例提供的一种模型去激活方法、信息发送方法、装置及设备进行详细地说明。
请参见图2，图2是本申请实施例提供的一种模型去激活方法的流程图，如图2所示， 包括以下步骤：
步骤201、第一设备接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式。
在一些实施方式中，上述第一设备可以是终端，上述第二设备可以是网络侧设备或者终端。
在一些实施方式中，上述第一设备可以是网络侧设备，上述第二设备可以是网络侧设备或者终端。
上述第一信息包括满足上述第一条件的对象信息，如满足第一小区的小区、网络侧设备、终端等。
上述支持目标映射处理方式可以是，支持使用上述支持目标映射处理方式得到的映射数据进行模型推理，或者，上述支持目标映射处理方式可以是，支持提供上述目标映射处理方式得到的映射数据。
上述目标映射处理方式可以是第一设备确定的映射处理方式，或者，可以是上述第二设备指示的映射处理方式。在一些实施方式中，上述目标映射处理方式可以是第三设备确定的映射处理方式，其中，第三设备为映射数据提供的设备或者映射处理设备，例如：第三设备按照上述目标映射处理方式对采集数据进行映射处理，得到映射数据，第三设备具体可以是网络侧设备或者终端。
另外，上述目标映射处理方式可以包含一种或者多种映射处理。
本申请实施例中，映射处理方式是指对数据进行映射处理，从而避免数据暴露，以使得处理数据后具备更高的安全性。另外，映射处理也可以称作隐私化处理、隐私处理、数据映射处理、信息映射处理等，映射处理方式也可以称作隐私化处理方式、隐私处理方式、数据映射处理方式或信息映射处理方式等，具体对其名称不作限定。
步骤202、所述第一设备在不满足所述第一条件的情况下，对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。
上述映射数据可以是，第三设备或者第二设备按照上述目标映射处理方式对数据进行映射处理得到的数据，如第三设备或者第二设备按照上述目标映射处理方式对采集数据进行映射处理得到的数据。
上述推理模型与映射数据对应可以是，该推理模型用于基于该映射数据进行推理或者预测，如基于上述采集数据进行波束信息(例如：接收波束和/或发送波束)预测，或者基于上述映射数据进行信道信息预测等。
上述第一设备在不满足所述第一条件的情况下，对推理模型执行去激活操作可以是，在不满足上述第一条件的情况下，去激活上述推理模型；或者，上述第一设备在不满足所述第一条件的情况下，对推理模型执行去激活操作可以是，在不满足上述第一条件的情况下，如果推理模型处于去激活状态，则保持推理模型在去激活状态。
另外，在满足上述第一条件的情况下，保持上述推理模型在激活状态，或者激活上述推理模型。
上述不满足第一条件可以是，上述第一设备的当前服务小区不满足上述第一条件，或者为上述第一设备提供服务的网络侧设备不满足上述第一条件，或者上述第一设备所在的位置区域或者所处的场景不满足上述第一条件，或者上述第一设备不满足上述第一条件等。
在一些实施方式中，上述第一设备在不满足所述第一条件的情况下，对推理模型执行去激活操作可以是，第一设备基于上述第一信息确定推理模型可推理的范围，在该范围外去激活推理模型，在范围内激活推理模型。
需要说明的是，本申请实施例中数据也可以是信息，如上述映射数据也可以称作映射数据，采集数据也可以称作采集信息或收集信息。
本申请实施例中，通过上述步骤这样可以实现在不满足第一条件的情况下，去激活推理模型，从而避免推理模型的预测性能恶化，进而提高推理模型的预测性能。例如：避免推理模型基于上述映射数据之外的数据进行预测。
作为一种可选的实施方式，所述与第一条件相关的信息包括如下至少一项：
满足所述第一条件的对象列表，所述对象包括如下至少一项：
小区、核心网功能、网络功能、终端。
上述核心网功能也可以称作核心网设备。
上述网络功能可以是无线接入网功能，或者称作无线接入网设备。
上述对象列表可以包括如下至少一项：
小区列表、核心网功能列表、网络功能列表、终端列表。
其中，所述满足所述第一条件的小区是指：小区的第一集合包括所述目标映射处理方式的第一标识，所述第一集合是第一映射关系的集合，所述第一映射关系为映射处理方式与标识的映射关系。
上述小区的第一集合可以包括为上述第一小区配置的一个或者多个第一映射关系的集合。
其中，所述满足所述第一条件的核心网功能是指：核心网功能的第一集合包括所述目标映射处理方式的第一标识，所述第一集合是第一映射关系的集合，所述第一映射关系为映射处理方式与标识的映射关系。
上述核心网功能的第一集合可以包括上述核心网功能存储的或为上述核心网功能配置的一个或者多个第一映射关系的集合。
其中，所述满足所述第一条件的网络功能是指：网络功能的第一集合包括所述目标映射处理方式的第一标识，所述第一集合是第一映射关系的集合，所述第一映射关系为映射处理方式与标识的映射关系。
上述网络功能的第一集合可以包括上述网络功能存储的或为上述网络功能配置的一个或者多个第一映射关系的集合。
其中，所述满足所述第一条件的终端是指：终端的第一集合包括所述目标映射处理方式的第一标识，所述第一集合是第一映射关系的集合，所述第一映射关系为映射处理方式与标识的映射关系。
上述终端的第一集合可以包括上述终端存储的或为上述终端配置的一个或者多个第一映射关系的集合。
上述实施方式中，可以实现依据第一标识是否包含在对应的第一集合中来确定是否满足第一条件。
可选的，所述第一设备在不满足所述第一条件的情况下，对推理模型执行去激活操作，可以包括如下至少一项：
在所述对象列表不包含所述第一设备的目标小区的情况下，在所述第一设备切换到所述目标小区的情况下，去激活所述推理模型；
在所述对象列表不包含所述第一设备的当前服务小区的情况下，所述第一设备去激活所述推理模型；
在所述对象列表不包含所述第一设备的目标网络功能的情况下，在所述第一设备切换到所述目标网络功能的情况下，去激活所述推理模型；
在所述对象列表不包含所述第一设备的当前服务网络功能的情况下，所述第一设备去激活所述推理模型。
上述目标小区为上述第一设备执行小区切换过程中的目标小区，以实现在切换过程去激活推理模型。
上述目标网络功能为上述第一设备执行小区切换过程中的目标小区对应的网络功能，以实现在切换过程去激活推理模型。
该实施方式中，可以实现在目标小区、当前服务小区、目标网络功能、当前服务网络功能不满足上述第一条件的情况下，去激活上述推理模型。
在一些实施方式中，也可以是在上述第一设备对应的终端为上述对象列表中的终端的情况下，去激活所述推理模型。例如：接入网络功能的终端为上述对象列表中的终端的情况下，该网络功能去激活推理模型。
在一些实施方式中，上述满足第一条件的对象列表可以是，第二设备与至少一个设备进行信息交互确定的，该信息交互可以用于确定如下至少一项：
满足所述第一条件的小区、满足所述第一条件的核心网功能、满足所述第一条件的网络功能、满足所述第一条件的终端。
例如：在第二设备确定上述目标映射处理方式后，如果第二设备和第三设备都是接入网的基站，则通过基站间的接口交互第一条件，得到上述第一信息；
又例如：如果第三设备是接入网的功能，第二设备是核心网功能，则第二设备通过接入网和核心网之间的接口交互第一条件，得到上述第一信息；
又例如：如果第二设备和第三设备都是核心网功能，则第二设备通过核心网功能之间 的接口交互第一条件，得到上述第一信息；
又例如：如果第二设备和第三设备是终端，则终端可以反馈本终端是否满足第一条件。如果满足第一条件，反馈本终端标识或肯定确认(Acknowledgement，ACK)，否则反馈第一条件满足集合为空。
作为一种可选的实施方式，所述方法还包括：
所述第一设备向所述第二设备发送第一消息，所述第一消息包括第一标识，所述第一标识用于指示所述目标映射处理方式。
该实施方式中，可以实现由第一设备向第二设备指示上述目标映射处理方式。
其中，上述第一标识可以称作映射标识、隐私化标识、隐私处理标识、数据收集标识、数据采集标识或数据处理标识。
由于上述第一标识用于指示目标映射处理方式，从而上述推理模型也可以称作与上述第一标识对应的推理模型。
另外，上述第一信息可以是上述第二设备基于上述第一标识确定的，并发送给第一设备的。
在一些实施方式中，第二设备可以根据第一标识确定使用的目标映射处理方式，例如：映射处理方式包括映射方式1至5，这样通过上述第一标识在映射方式1至5中确定一种映射方式，或者映射方式组合，以及还可以确定每种映射方式中涉及的变换操作和参数配置。
例如，基于第一标识，确定如下至少一项：
使用了映射方式1和5；
映射方式1使用的偏置值：100，；
映射方式5使用的乱序操作：4 3 1 5 6 7 8 2。
其中，100是映射方式1的参数配置，变换顺序4 3 1 5 6 7 8 2是映射方式5的参数配置。针对一个数据对象可以使用多种映射方式的组合。一个映射标识可以包含对多个数据对象的映射处理。如果针对一个数据对象，使用了使用相同映射方式但不同的参数配置，则属于不同的映射标识。
可选的，所述第一消息还包括：数据采集需求，所述数据采集需求与所述目标映射处理方式对应。
上述数据采集需求可以指示需要采集的数据类型、数量、采集配置。
上述数据采集需求与所述目标映射处理方式对应可以是，上述目标映射处理方式用于对按照上述数据采集需求采集的采集数据进行处理，或者，按照上述数据采集需求采集的采集数据采用上述目标映射处理方式进行映射处理。
在一些实施方式中，上述数据采集需求可以包括如下至少一项：
数据采集对象、采集数量。
上述数据采集对象可以包括如下至少一项：
波束的水平波束指向；
波束的垂直波束指向；
波束的水平方向的宽度；
波束的垂直方向的宽度；
波束增益；
天线方向信息；
终端移动速度；
终端位置信息；
网络功能位置信息；
小区视距(line-of-sight，LOS)分布信息；
小区非视距(non-line-of-sight，NLOS)分布信息。
在一些实施方式中，上述波束的水平方向的宽度可以是，波束的水平方向的3dB或1dB或6dB波束宽度，上述波束的垂直方向的宽度可以是，波束的垂直方向的3dB或1dB或6dB波束宽度，上述波束增益可以是，以波束指向为中心间隔5度或10度等的波束增益。
上述采集数量可以包括如下至少一项：
波束数量、终端数量、网络功能数量、小区数量。
可选的，所述数据采集需求对应的采集数据为第三设备按照所述数据采集需求采集得到。
该实施方式中，可以实现数据采集是面向第三设备的数据收集需求。另外，该实施方式中，上述推理模型可以用于采集数据对应的映射数据进行推理，例如：第三设备按照所述数据采集需求采集得到上述采集数据，并按照上述目标映射处理方式对采集数据进行映射处理，得到映射数据，并向第一设备提供该映射数据，上述推理模型基于该映射数据进行波束信息或者信道信息预测。另外，上述第三设备可以是满足上述第一条件的范围内提供映射数据。
作为一种可选的实施方式，所述目标映射处理方式包括如下至少一项：
偏置处理；
缩放处理；
函数变换处理；
多维映射处理；
乱序处理；
量化映射处理。
在一些实施方式中，上述目标映射处理方式在第三设备可知，在第一设备不可知，这样可以进一步提高数据的安全性，但对此不作限定。例如：在一些场景或者实施方式中，上述目标映射处理方式对上述第一设备可知。
上述偏置处理可以是对数据进行按照偏置值进行偏置处理，其中，偏置值在第三设备可知，在第三设备不可知。
上述缩放处理可以是对数据按照缩放值进行缩小或者放大处理，其中，缩放倍数在第三设备可知，在第一设备不可知或可知。
上述函数变换处理可以将数据作为函数的变量进行运算，其中，用于变换的函数在第三设备可知，在第一设备不可知或可知。
上述多维映射处理可以是将一个数据映射为多个数据，其中，映射方法在第三设备可知，在第一设备不可知或可知。
上述偏置处理、缩放处理、函数变换处理和多维映射处理可以如下表1所：
表1：
上述乱序处理可以是对一组数值进行乱序操作，其中，原顺序与乱序的映射关系在第三设备可知，在第一设备不可知或可知，例如：如下表2所示：
表2：

其中，表2表示的是原始顺序和物理含义映射表，这样通过乱序处理后，得到4 3 1 56 7 8 2。
乱序处理后的乱序后顺序和物理含义映射可以如下表3所示：
表3：
上述量化映射处理可以是单个数值进行量化映射，或者，将波束指向映射为虚拟波束标识，或者将数据映射为标识，映射关系在第三设备可知，在第一设备不可知或可知，例如：根据波束指向映射为虚拟波束标识，或者根据水平指向和垂直指向同时确定虚拟波束标识，如下表4所示：
表4：
如表4所示，如果波束指向为水平指向为-20，垂直指向为110.5，则虚拟波束标识为3。
另一种映射方式是根据水平指向和垂直指向分别映射，如下表5或表6所示：
表5：

表6：
如表5和表6所示，如果波束指向为水平指向为-20，垂直指向为110.5，则虚拟波束标识为(1，1)。
在本申请实施例中，第一设备接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式；所述第一设备在不满足所述第一条件的情况下，对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。这样可以实现在不满足第一条件的情况下，去激活推理模型，从而避免推理模型的预测性能恶化，进而提高推理模型的预测性能。
请参见图3，图3是本申请实施例提供的另一种信息发送方法的流程图，如图3所示，包括以下步骤：
步骤301、第二设备向第一设备发送第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式。
可选的，所述与第一条件相关的信息包括如下至少一项：
满足所述第一条件的对象列表，所述对象包括如下至少一项：
小区、核心网功能、网络功能、终端。
可选的，所述方法还包括：
所述第二设备与至少一个设备进行信息交互，所述信息交互用于确定如下至少一项：
满足所述第一条件的小区、满足所述第一条件的核心网功能、满足所述第一条件的网络功能、满足所述第一条件的终端。
可选的，所述满足所述第一条件的小区是指小区的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的核心网功能是指：核心网功能的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的网络功能是指：网络功能的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的终端是指：终端的第一集合包括所述目标映射处理方式的第一标识；
其中，所述第一集合是第一映射关系的集合，所述第一映射关系为映射处理方式与标 识的映射关系。
可选的，所述方法还包括：
所述第二设备接收所述第一设备发送的第一消息，所述第一消息包括第一标识，所述第一标识用于指示所述目标映射处理方式；
所述第二设备基于所述第一消息确定所述第一条件。
可选的，所述第一消息还包括：数据采集需求，所述数据采集需求与所述目标映射处理方式对应。
可选的，所述数据采集需求包括如下至少一项：
数据采集对象、采集数量。
可选的，所述数据采集对象包括如下至少一项：
波束的水平波束指向；
波束的垂直波束指向；
波束的水平方向的宽度；
波束的垂直方向的宽度；
波束增益；
天线方向信息；
终端移动速度；
终端位置信息；
网络功能位置信息；
小区视距LOS分布信息；
小区非视距NLOS分布信息。
可选的，所述数据采集需求对应的采集数据为第三设备按照所述数据采集需求采集得到。
可选的，所述目标映射处理方式包括如下至少一项：
偏置处理；
缩放处理；
函数变换处理；
多维映射处理；
乱序处理；
量化映射处理。
需要说明的是，本实施例作为与图2所示的实施例中对应的第二设备的实施方式，其具体的实施方式可以参见图2所示的实施例的相关说明，以为避免重复说明，本实施例不再赘述。
请参见图4，图4是本申请实施例提供的一种模型去激活装置的结构图，如图4所示，模型去激活装置400包括：
接收模块401，用于接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式；
操作模块402，用于在不满足所述第一条件的情况下，对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。
可选的，所述与第一条件相关的信息包括如下至少一项：
满足所述第一条件的对象列表，所述对象包括如下至少一项：
小区、核心网功能、网络功能、终端。
可选的，操作模块402用于如下至少一项：
在所述对象列表不包含所述第一设备的目标小区的情况下，在所述第一设备切换到所述目标小区的情况下，去激活所述推理模型；
在所述对象列表不包含所述第一设备的当前服务小区的情况下，所述第一设备去激活所述推理模型；
在所述对象列表不包含所述第一设备的目标网络功能的情况下，在所述第一设备切换到所述目标网络功能的情况下，去激活所述推理模型；
在所述对象列表不包含所述第一设备的当前服务网络功能的情况下，所述第一设备去激活所述推理模型。
可选的，所述满足所述第一条件的小区是指：小区的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的核心网功能是指：核心网功能的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的网络功能是指：网络功能的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的终端是指：终端的第一集合包括所述目标映射处理方式的第一标识；
其中，所述第一集合是第一映射关系的集合，所述第一映射关系为映射处理方式与标识的映射关系。
可选的，所述装置还包括：
发送模块，用于向所述第二设备发送第一消息，所述第一消息包括第一标识，所述第一标识用于指示所述目标映射处理方式。
可选的，所述第一消息还包括：数据采集需求，所述数据采集需求与所述目标映射处理方式对应。
可选的，所述数据采集需求包括如下至少一项：
数据采集对象、采集数量。
可选的，所述数据采集对象包括如下至少一项：
波束的水平波束指向；
波束的垂直波束指向；
波束的水平方向的宽度；
波束的垂直方向的宽度；
波束增益；
天线方向信息；
终端移动速度；
终端位置信息；
网络功能位置信息；
小区视距LOS分布信息；
小区非视距NLOS分布信息。
可选的，所述数据采集需求对应的采集数据为第三设备按照所述数据采集需求采集得到。
可选的，所述目标映射处理方式包括如下至少一项：
偏置处理；
缩放处理；
函数变换处理；
多维映射处理；
乱序处理；
量化映射处理。
上述模型去激活装置可以提高推理模型的预测性能。
本申请实施例中的模型去激活装置可以是电子设备，例如具有操作系统的电子设备，也可以是电子设备中的部件，例如集成电路或芯片。例如：该电子设备可以是终端，也可以为除终端之外的其他设备。示例性的，终端可以包括但不限于本申请实施例所列举的终端的类型，其他设备可以为服务器、网络附属存储器(Network Attached Storage，NAS)等，本申请实施例不作具体限定。
本申请实施例提供的模型去激活装置能够实现图2所示的方法实施例实现的各个过程，并达到相同的技术效果，为避免重复，这里不再赘述。
请参见图5，图5是本申请实施例提供的一种信息发送装置的结构图，如图5所示，信息发送装置500包括：
发送模块501，用于向第一设备发送第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式。
可选的，所述与第一条件相关的信息包括如下至少一项：
满足所述第一条件的对象列表，所述对象包括如下至少一项：
小区、核心网功能、网络功能、终端。
可选的，所述装置还包括：
交互模块，用于与至少一个设备进行信息交互，所述信息交互用于确定如下至少一项：
满足所述第一条件的小区、满足所述第一条件的核心网功能、满足所述第一条件的网络功能、满足所述第一条件的终端。
可选的，所述满足所述第一条件的小区是指小区的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的核心网功能是指：核心网功能的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的网络功能是指：网络功能的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的终端是指：终端的第一集合包括所述目标映射处理方式的第一标识；
其中，所述第一集合是第一映射关系的集合，所述第一映射关系为映射处理方式与标识的映射关系。
可选的，所述装置还包括：
接收模块，用于接收所述第一设备发送的第一消息，所述第一消息包括第一标识，所述第一标识用于指示所述目标映射处理方式；
确定模块，用于基于所述第一消息确定所述第一条件。
可选的，所述第一消息还包括：数据采集需求，所述数据采集需求与所述目标映射处理方式对应。
可选的，所述数据采集需求包括如下至少一项：
数据采集对象、采集数量。
可选的，所述数据采集对象包括如下至少一项：
波束的水平波束指向；
波束的垂直波束指向；
波束的水平方向的宽度；
波束的垂直方向的宽度；
波束增益；
天线方向信息；
终端移动速度；
终端位置信息；
网络功能位置信息；
小区视距LOS分布信息；
小区非视距NLOS分布信息。
可选的，所述数据采集需求对应的采集数据为第三设备按照所述数据采集需求采集得到。
可选的，所述目标映射处理方式包括如下至少一项：
偏置处理；
缩放处理；
函数变换处理；
多维映射处理；
乱序处理；
量化映射处理。
上述信息发送装置可以提高推理模型的预测性能。
本申请实施例中的信息发送装置可以是电子设备，例如具有操作系统的电子设备，也可以是电子设备中的部件，例如集成电路或芯片。该电子设备可以是终端或网络侧设备。
本申请实施例提供的信息发送装置能够实现图3所示的方法实施例实现的各个过程，并达到相同的技术效果，为避免重复，这里不再赘述。
可选的，如图6所示，本申请实施例还提供一种通信设备600，包括处理器601和存储器602，存储器602上存储有可在所述处理器601上运行的程序或指令，例如，该通信设备600为第一设备时，该程序或指令被处理器601执行时实现上述模型去激活方法实施例的各个步骤，且能达到相同的技术效果。该通信设备600为第二设备时，该程序或指令被处理器601执行时实现上信息发送方法实施例的各个步骤，且能达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供一种通信设备，包括处理器及通信接口，其中，所述通信接口用于接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式；所述处理器用于对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。该通信设备实施例与上述模型去激活方法实施例对应，上述方法实施例的各个实施过程和实现方式均可适用于该通信设备实施例中，且能达到相同的技术效果。
具体地，图7为实现本申请实施例的一种通信设备的硬件结构示意图。
该通信设备700包括但不限于：射频单元701、网络模块702、音频输出单元703、输入单元704、传感器705、显示单元706、用户输入单元707、接口单元708、存储器709以及处理器710等中的至少部分部件。
本领域技术人员可以理解，通信设备700还可以包括给各个部件供电的电源(比如电池)，电源可以通过电源管理系统与处理器710逻辑相连，从而通过电源管理系统实现管理充电、放电、以及功耗管理等功能。图7中示出的通信设备结构并不构成对通信设备的限定，通信设备可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置，在此不再赘述。
应理解的是，本申请实施例中，输入单元704可以包括图形处理单元(Graphics Processing Unit，GPU)7041和麦克风7042，图形处理单元7041对在视频捕获模式或图 像捕获模式中由图像捕获装置(如摄像头)获得的静态图片或视频的图像数据进行处理。显示单元706可包括显示面板7061，可以采用液晶显示器、有机发光二极管等形式来配置显示面板7061。用户输入单元707包括触控面板7071以及其他输入设备7072中的至少一种。触控面板7071，也称为触摸屏。触控面板7071可包括触摸检测装置和触摸控制器两个部分。其他输入设备7072可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆，在此不再赘述。
本申请实施例中，射频单元701接收来自网络侧设备的下行数据后，可以传输给处理器710进行处理；另外，射频单元701可以向网络侧设备发送上行数据。通常，射频单元701包括但不限于天线、放大器、收发信机、耦合器、低噪声放大器、双工器等。
存储器709可用于存储软件程序或指令以及各种数据。存储器709可主要包括存储程序或指令的第一存储区和存储数据的第二存储区，其中，第一存储区可存储操作系统、至少一个功能所需的应用程序或指令(比如声音播放功能、图像播放功能等)等。此外，存储器709可以包括易失性存储器或非易失性存储器，或者，存储器709可以包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM，DDRSDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(Synch link DRAM，SLDRAM)和直接内存总线随机存取存储器(Direct Rambus RAM，DRRAM)。本申请实施例中的存储器709包括但不限于这些和任意其它适合类型的存储器。
处理器710可包括一个或多个处理单元；可选的，处理器710集成应用处理器和调制解调处理器，其中，应用处理器主要处理涉及操作系统、用户界面和应用程序等的操作，调制解调处理器主要处理无线通信信号，如基带处理器。可以理解的是，上述调制解调处理器也可以不集成到处理器710中。
该实施例中，上述通信设备为第一设备，且以第一设备为终端进行举例说明：
射频单元701，用于接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式；
处理器710，用于在不满足所述第一条件的情况下，对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。
可选的，所述与第一条件相关的信息包括如下至少一项：
满足所述第一条件的对象列表，所述对象包括如下至少一项：
小区、核心网功能、网络功能、终端。
可选的，所述在不满足所述第一条件的情况下，对推理模型执行去激活操作，包括如下至少一项：
在所述对象列表不包含所述第一设备的目标小区的情况下，在所述第一设备切换到所述目标小区的情况下，去激活所述推理模型；
在所述对象列表不包含所述第一设备的当前服务小区的情况下，去激活所述推理模型；
在所述对象列表不包含所述第一设备的目标网络功能的情况下，在所述第一设备切换到所述目标网络功能的情况下，去激活所述推理模型；
在所述对象列表不包含所述第一设备的当前服务网络功能的情况下，去激活所述推理模型。
可选的，所述满足所述第一条件的小区是指：小区的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的核心网功能是指：核心网功能的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的网络功能是指：网络功能的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的终端是指：终端的第一集合包括所述目标映射处理方式的第一标识；
其中，所述第一集合是第一映射关系的集合，所述第一映射关系为映射处理方式与标识的映射关系。
可选的，射频单元701还用于：
向所述第二设备发送第一消息，所述第一消息包括第一标识，所述第一标识用于指示所述目标映射处理方式。
可选的，所述第一消息还包括：数据采集需求，所述数据采集需求与所述目标映射处理方式对应。
可选的，所述数据采集需求包括如下至少一项：
数据采集对象、采集数量。
可选的，所述数据采集对象包括如下至少一项：
波束的水平波束指向；
波束的垂直波束指向；
波束的水平方向的宽度；
波束的垂直方向的宽度；
波束增益；
天线方向信息；
终端移动速度；
终端位置信息；
网络功能位置信息；
小区视距LOS分布信息；
小区非视距NLOS分布信息。
可选的，所述数据采集需求对应的采集数据为第三设备按照所述数据采集需求采集得到。
可选的，所述目标映射处理方式包括如下至少一项：
偏置处理；
缩放处理；
函数变换处理；
多维映射处理；
乱序处理；
量化映射处理。
上述通信设备可以提高推理模型的预测性能。
本申请实施例还提供一种通信设备，包括处理器及通信接口，其中，所述通信接口用于向第一设备发送第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式。该通信设备实施例与上述信息发送方法实施例对应，上述方法实施例的各个实施过程和实现方式均可适用于该通信设备实施例中，且能达到相同的技术效果。
具体地，本申请实施例还提供了一种通信设备。如图8所示，该通信设备800包括：天线801、射频装置802、基带装置803、处理器804和存储器805。天线801与射频装置802连接。在上行方向上，射频装置802通过天线801接收信息，将接收的信息发送给基带装置803进行处理。在下行方向上，基带装置803对要发送的信息进行处理，并发送给射频装置802，射频装置802对收到的信息进行处理后经过天线801发送出去。
以上实施例中通信设备执行的方法可以在基带装置803中实现，该基带装置803包括基带处理器。
基带装置803例如可以包括至少一个基带板，该基带板上设置有多个芯片，如图8所示，其中一个芯片例如为基带处理器，通过总线接口与存储器805连接，以调用存储器805中的程序，执行以上方法实施例中所示的网络设备操作。
该通信设备还可以包括网络接口806，该接口例如为通用公共无线接口(common public radio interface，CPRI)。
具体地，本发明实施例的通信设备800还包括：存储在存储器805上并可在处理器804上运行的指令或程序，处理器804调用存储器805中的指令或程序执行图5所示各模块执行的方法，并达到相同的技术效果，为避免重复，故不在此赘述。
该实施例中，上述通信设备为第二设备，以第二设备为无线接入网设备进行举例说明。
其中，射频装置802用于向第一设备发送第一信息，所述第一信息用于指示与第一条 件相关的信息，所述第一条件包括：支持目标映射处理方式。
可选的，所述与第一条件相关的信息包括如下至少一项：
满足所述第一条件的对象列表，所述对象包括如下至少一项：
小区、核心网功能、网络功能、终端。
可选的，射频装置802还用于：
与至少一个设备进行信息交互，所述信息交互用于确定如下至少一项：
满足所述第一条件的小区、满足所述第一条件的核心网功能、满足所述第一条件的网络功能、满足所述第一条件的终端。
可选的，所述满足所述第一条件的小区是指小区的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的核心网功能是指：核心网功能的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的网络功能是指：网络功能的第一集合包括所述目标映射处理方式的第一标识；和/或
所述满足所述第一条件的终端是指：终端的第一集合包括所述目标映射处理方式的第一标识；
其中，所述第一集合是第一映射关系的集合，所述第一映射关系为映射处理方式与标识的映射关系。
可选的，射频装置802还用于：
接收所述第一设备发送的第一消息，所述第一消息包括第一标识，所述第一标识用于指示所述目标映射处理方式；
处理器804用于基于所述第一消息确定所述第一条件。
可选的，所述第一消息还包括：数据采集需求，所述数据采集需求与所述目标映射处理方式对应。
可选的，所述数据采集需求包括如下至少一项：
数据采集对象、采集数量。
可选的，所述数据采集对象包括如下至少一项：
波束的水平波束指向；
波束的垂直波束指向；
波束的水平方向的宽度；
波束的垂直方向的宽度；
波束增益；
天线方向信息；
终端移动速度；
终端位置信息；
网络功能位置信息；
小区视距LOS分布信息；
小区非视距NLOS分布信息。
可选的，所述数据采集需求对应的采集数据为第三设备按照所述数据采集需求采集得到。
可选的，所述目标映射处理方式包括如下至少一项：
偏置处理；
缩放处理；
函数变换处理；
多维映射处理；
乱序处理；
量化映射处理。
上述通信设备可以提高推理模型的预测性能。
本申请实施例还提供了一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序或指令被处理器执行时实现本申请实施例提供的模型去激活方法或信息发送方法的步骤。
其中，所述处理器为上述实施例中所述的终端中的处理器。所述可读存储介质，包括计算机可读存储介质，如计算机只读存储器ROM、随机存取存储器RAM、磁碟或者光盘等。
本申请实施例另提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现上述模型去激活方法或信息发送方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
应理解，本申请实施例提到的芯片还可以称为系统级芯片，系统芯片，芯片系统或片上系统芯片等。
本申请实施例另提供了一种计算机程序/程序产品，所述计算机程序/程序产品被存储在存储介质中，所述计算机程序/程序产品被至少一个处理器执行以实现上述模型去激活方法或信息发送方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供了一种模型去激活系统，包括：第一设备及第二设备，所述第一设备可用于执行如本申请实施例提供的模型去激活方法的步骤，所述网络侧设备可用于执行如本申请实施例提供的信息发送方法的步骤。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除 在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。此外，需要指出的是，本申请实施方式中的方法和装置的范围不限按示出或讨论的顺序来执行功能，还可包括根据所涉及的功能按基本同时的方式或按相反的顺序来执行功能，例如，可以按不同于所描述的次序来执行所描述的方法，并且还可以添加、省去、或组合各种步骤。另外，参照某些示例所描述的特征可在其他示例中被组合。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以计算机软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本申请各个实施例所述的方法。
上面结合附图对本申请的实施例进行了描述，但是本申请并不局限于上述的具体实施方式，上述的具体实施方式仅仅是示意性的，而不是限制性的，本领域的普通技术人员在本申请的启示下，在不脱离本申请宗旨和权利要求所保护的范围情况下，还可做出很多形式，均属于本申请的保护之内。

Claims (25)

  1. 一种模型去激活方法，包括：
    第一设备接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式；
    所述第一设备在不满足所述第一条件的情况下，对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。
  2. 如权利要求1所述的方法，其中，所述与第一条件相关的信息包括如下至少一项：
    满足所述第一条件的对象列表，所述对象包括如下至少一项：
    小区、核心网功能、网络功能、终端。
  3. 如权利要求2所述的方法，其中，所述第一设备在不满足所述第一条件的情况下，对推理模型执行去激活操作，包括如下至少一项：
    在所述对象列表不包含所述第一设备的目标小区的情况下，在所述第一设备切换到所述目标小区的情况下，去激活所述推理模型；
    在所述对象列表不包含所述第一设备的当前服务小区的情况下，所述第一设备去激活所述推理模型；
    在所述对象列表不包含所述第一设备的目标网络功能的情况下，在所述第一设备切换到所述目标网络功能的情况下，去激活所述推理模型；
    在所述对象列表不包含所述第一设备的当前服务网络功能的情况下，所述第一设备去激活所述推理模型。
  4. 如权利要求2所述的方法，其中，所述满足所述第一条件的小区是指：小区的第一集合包括所述目标映射处理方式的第一标识；和/或
    所述满足所述第一条件的核心网功能是指：核心网功能的第一集合包括所述目标映射处理方式的第一标识；和/或
    所述满足所述第一条件的网络功能是指：网络功能的第一集合包括所述目标映射处理方式的第一标识；和/或
    所述满足所述第一条件的终端是指：终端的第一集合包括所述目标映射处理方式的第一标识；
    其中，所述第一集合是第一映射关系的集合，所述第一映射关系为映射处理方式与标识的映射关系。
  5. 如权利要求1至4中任一项所述的方法，其中，所述方法还包括：
    所述第一设备向所述第二设备发送第一消息，所述第一消息包括第一标识，所述第一标识用于指示所述目标映射处理方式。
  6. 如权利要求5所述的方法，其中，所述第一消息还包括：数据采集需求，所述数据采集需求与所述目标映射处理方式对应。
  7. 如权利要求6所述的方法，其中，所述数据采集需求包括如下至少一项：
    数据采集对象、采集数量。
  8. 如权利要求7所述的方法，其中，所述数据采集对象包括如下至少一项：
    波束的水平波束指向；
    波束的垂直波束指向；
    波束的水平方向的宽度；
    波束的垂直方向的宽度；
    波束增益；
    天线方向信息；
    终端移动速度；
    终端位置信息；
    网络功能位置信息；
    小区视距LOS分布信息；
    小区非视距NLOS分布信息。
  9. 如权利要求6所述的方法，其中，所述数据采集需求对应的采集数据为第三设备按照所述数据采集需求采集得到。
  10. 如权利要求1至4中任一项所述的方法，其中，所述目标映射处理方式包括如下至少一项：
    偏置处理；
    缩放处理；
    函数变换处理；
    多维映射处理；
    乱序处理；
    量化映射处理。
  11. 一种信息发送方法，包括：
    第二设备向第一设备发送第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式。
  12. 如权利要求11所述的方法，其中，所述与第一条件相关的信息包括如下至少一项：
    满足所述第一条件的对象列表，所述对象包括如下至少一项：
    小区、核心网功能、网络功能、终端。
  13. 如权利要求12所述的方法，其中，所述方法还包括：
    所述第二设备与至少一个设备进行信息交互，所述信息交互用于确定如下至少一项：
    满足所述第一条件的小区、满足所述第一条件的核心网功能、满足所述第一条件的网络功能、满足所述第一条件的终端。
  14. 如权利要求12或13所述的方法，其中，所述满足所述第一条件的小区是指小区 的第一集合包括所述目标映射处理方式的第一标识；和/或
    所述满足所述第一条件的核心网功能是指：核心网功能的第一集合包括所述目标映射处理方式的第一标识；和/或
    所述满足所述第一条件的网络功能是指：网络功能的第一集合包括所述目标映射处理方式的第一标识；和/或
    所述满足所述第一条件的终端是指：终端的第一集合包括所述目标映射处理方式的第一标识；
    其中，所述第一集合是第一映射关系的集合，所述第一映射关系为映射处理方式与标识的映射关系。
  15. 如权利要求11所述的方法，其中，所述方法还包括：
    所述第二设备接收所述第一设备发送的第一消息，所述第一消息包括第一标识，所述第一标识用于指示所述目标映射处理方式；
    所述第二设备基于所述第一消息确定所述第一条件。
  16. 如权利要求15所述的方法，其中，所述第一消息还包括：数据采集需求，所述数据采集需求与所述目标映射处理方式对应。
  17. 如权利要求16所述的方法，其中，所述数据采集需求包括如下至少一项：
    数据采集对象、采集数量。
  18. 如权利要求17所述的方法，其中，所述数据采集对象包括如下至少一项：
    波束的水平波束指向；
    波束的垂直波束指向；
    波束的水平方向的宽度；
    波束的垂直方向的宽度；
    波束增益；
    天线方向信息；
    终端移动速度；
    终端位置信息；
    网络功能位置信息；
    小区视距LOS分布信息；
    小区非视距NLOS分布信息。
  19. 如权利要求16所述的方法，其中，所述数据采集需求对应的采集数据为第三设备按照所述数据采集需求采集得到。
  20. 如权利要求11至13中任一项所述的方法，其中，所述目标映射处理方式包括如下至少一项：
    偏置处理；
    缩放处理；
    函数变换处理；
    多维映射处理；
    乱序处理；
    量化映射处理。
  21. 一种模型去激活装置，包括：
    接收模块，用于接收第二设备发送的第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式；
    操作模块，用于在不满足所述第一条件的情况下，对推理模型执行去激活操作，所述推理模型与映射数据对应，所述映射数据为通过所述目标映射处理方式得到的数据。
  22. 一种信息发送装置，包括：
    发送模块，用于向第一设备发送第一信息，所述第一信息用于指示与第一条件相关的信息，所述第一条件包括：支持目标映射处理方式。
  23. 一种通信设备，包括处理器和存储器，所述存储器存储可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如权利要求1至10任一项所述的模型去激活方法的步骤。
  24. 一种通信设备，包括处理器和存储器，所述存储器存储可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如权利要求11至20任一项所述的信息发送方法的步骤。
  25. 一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序或指令被处理器执行时实现如权利要求1至10任一项所述的模型去激活方法的步骤，或者，所述程序或指令被处理器执行时实现如权利要求11至20任一项所述的信息发送方法的步骤。
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022058020A1 (en) * 2020-09-18 2022-03-24 Nokia Technologies Oy Evaluation and control of predictive machine learning models in mobile networks
WO2022061749A1 (zh) * 2020-09-25 2022-03-31 北京小米移动软件有限公司 一种信道检测方法、信道检测装置及存储介质
WO2022094943A1 (zh) * 2020-11-06 2022-05-12 华为技术有限公司 通信方法和通信装置
CN114762276A (zh) * 2019-12-01 2022-07-15 上海诺基亚贝尔股份有限公司 信道状态信息反馈

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114762276A (zh) * 2019-12-01 2022-07-15 上海诺基亚贝尔股份有限公司 信道状态信息反馈
WO2022058020A1 (en) * 2020-09-18 2022-03-24 Nokia Technologies Oy Evaluation and control of predictive machine learning models in mobile networks
WO2022061749A1 (zh) * 2020-09-25 2022-03-31 北京小米移动软件有限公司 一种信道检测方法、信道检测装置及存储介质
WO2022094943A1 (zh) * 2020-11-06 2022-05-12 华为技术有限公司 通信方法和通信装置

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