Information transmission method, and apparatus, device, medium and program product

Abstract

The present application relates to the technical field of communications. Disclosed are an information transmission method, and an apparatus, a device, a medium and a program product. The method is executed by a terminal device. The method comprises: sending first information, wherein the first information comprises identification information of a first cell and a measurement result of the first cell, wherein the measurement result of the first cell is acquired by means of a prediction process, and the prediction process is related to a measurement result frequency-domain prediction function. The method provided in the present embodiment enables a terminal device to send a predicted measurement result of a first cell to a network device after a small number of actual measurement procedures, instead of acquiring all measurement results on the basis of actual measurement procedures, thereby improving the efficiency of acquiring measurement results.

Description

Information transmission methods, devices, equipment, media and program products Technical Field

[0001] This application relates to the field of communication technology, and in particular to an information transmission method, apparatus, device, medium, and program product. Background Technology

[0002] The measurement process of terminal devices is generally used to obtain the signal measurement results of the measured object. For connected terminal devices, the purpose of performing the measurement function is to obtain the signal measurement results of at least one neighboring cell and report the measurement results to the network device when the network configuration conditions are met.

[0003] In related technologies, the measurement results of all cells are obtained by the terminal equipment through the actual measurement process, which will affect the efficiency of the measurement results acquisition. Summary of the Invention

[0004] This application provides an information transmission method, apparatus, device, medium, and program product, the technical solution of which includes at least:

[0005] According to one aspect of the embodiments of this application, an information transmission method is provided, the method being executed by a terminal device, the method comprising:

[0006] Send the first message, which includes the identification information of the first cell and the measurement results of the first cell;

[0007] The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

[0008] According to another aspect of the embodiments of this application, an information transmission method is provided, the method being performed by a network device, the method comprising:

[0009] Receive first information, which includes the identification information of the first cell and the measurement results of the first cell;

[0010] The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

[0011] According to another aspect of the embodiments of this application, a terminal device is provided, the terminal device comprising:

[0012] The sending module is used to send first information, which includes the identification information of the first cell and the measurement results of the first cell;

[0013] The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

[0014] According to another aspect of the embodiments of this application, a network device is provided, the network device comprising:

[0015] The receiving module is used to receive first information, which includes the identification information of the first cell and the measurement results of the first cell;

[0016] The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

[0017] According to another aspect of the embodiments of this application, a terminal device is provided, the terminal device comprising:

[0018] A processor; a transceiver connected to the processor; a memory for storing executable instructions of the processor; wherein the processor is configured to load and execute the executable instructions so that the terminal device implements the information transmission methods described above.

[0019] According to another aspect of the embodiments of this application, a network device is provided, the network device comprising:

[0020] Processor; transceiver connected to the processor; memory for storing executable instructions of the processor; wherein the processor is configured to load and execute the executable instructions to enable the network device to implement the information transmission methods described above.

[0021] According to another aspect of the embodiments of this application, a computer-readable storage medium is provided, which stores at least one program that is loaded and executed by a processor to implement the information transmission methods as described in the above aspects.

[0022] According to another aspect of the embodiments of this application, a chip is provided, the chip including programmable logic circuits and / or program instructions, which, when running on a terminal device, is used to implement the information transmission methods of the various aspects of the terminal device side; and when running on a network device, is used to implement the information transmission methods of the various aspects of the network device side.

[0023] According to another aspect of the embodiments of this application, a computer program product or computer program is provided, which includes computer instructions stored in a computer-readable storage medium, a processor retrieving the computer instructions from the computer-readable storage medium, and the processor executing the computer instructions to implement the information transmission methods as described in the various aspects above.

[0024] The technical solutions provided in this application embodiment may include the following beneficial effects:

[0025] This method sends first information, which includes the identification information of the first cell and the measurement results of the first cell. The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results. This allows the terminal device to send the predicted measurement results of the first cell to the network device after a small number of actual measurement processes, instead of obtaining all measurement results from the actual measurement process, thus improving the efficiency of measurement result acquisition. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 illustrates a schematic diagram of a network architecture provided in an exemplary embodiment of this application;

[0028] Figure 2 shows a schematic diagram of a network system architecture provided in an exemplary embodiment of this application;

[0029] Figure 3 shows a flowchart of an information transmission method provided in an exemplary embodiment of this application;

[0030] Figure 4 shows a flowchart of an information transmission method provided in an exemplary embodiment of this application;

[0031] Figure 5 shows a flowchart of an information transmission method provided in an exemplary embodiment of this application;

[0032] Figure 6 shows a block diagram of a terminal device provided in an exemplary embodiment of this application;

[0033] Figure 7 shows a block diagram of a network device provided in an exemplary embodiment of this application;

[0034] Figure 8 shows a schematic diagram of the structure of a terminal device provided in an exemplary embodiment of this application;

[0035] Figure 9 shows a schematic diagram of the structure of a network device provided in an exemplary embodiment of this application. Detailed Implementation

[0036] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be further described in detail below with reference to the accompanying drawings. Exemplary embodiments will be described in detail here, examples of which are illustrated in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0037] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The singular forms “a,” “the,” and “the” as used in this disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0038] It should be understood that although the terms first, second, third, etc., may be used in this disclosure to describe various information, such information should not be limited to these terms. These terms are used only to distinguish information of the same type from one another. For example, without departing from the scope of this disclosure, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0039] The technical solutions described in some embodiments of this application can be applied to various communication systems, such as Long Term Evolution (LTE) systems, Advanced Long Term Evolution (LTE-A) systems, New Radio (NR) systems, evolution systems of NR systems, LTE-based access to unlicensed spectrum (LTE-U) systems, NR-based access to unlicensed spectrum (NR-U) systems, Non-Terrestrial Networks (NTN) systems, Universal Mobile Telecommunication System (UMTS), Wireless Local Area Networks (WLAN), Wireless Fidelity (WiFi), 5th-Generation (5G) systems, cellular IoT systems, cellular passive IoT systems, and can also be applied to subsequent evolution systems of 5G NR systems, as well as 6G and subsequent evolution systems.

[0040] It should be understood that in some embodiments of this application, "5G" may also be referred to as "5G NR" or "NR".

[0041] It should be understood that in the description of the embodiments of this application, the term "correspondence" may indicate that there is a direct or indirect correspondence between the two, or that there is an association between the two, or that there is a relationship of instruction and being instructed, configuration and being configured, etc.

[0042] In this embodiment of the application, "predefined" can be implemented by pre-storing corresponding codes, tables, or other means that can be used to indicate relevant information in the device (e.g., including terminal devices and network devices). This application does not limit the specific implementation method. For example, predefined can refer to what is defined in the protocol.

[0043] In this application embodiment, "protocol" may refer to standard protocols in the field of communication, such as LTE protocol, NR protocol and related protocols applied to future communication systems, and this application does not limit it.

[0044] In the embodiments of this application, "several" may include one or more, one or more types, one or more items, one or more items, etc.

[0045] In the embodiments of this application, "comprising" and "including" have the same meaning.

[0046] Figure 1 illustrates a schematic diagram of a network architecture 100 provided in an exemplary embodiment of this application. The network architecture 100 includes: a terminal device 10, an access network device 20, and a core network device 30.

[0047] Terminal equipment 10 can refer to user equipment (UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, wireless communication equipment, user agent, or user device. Optionally, terminal equipment 10 can also be a cellular phone, cordless phone, Session Initiation Protocol (SIP) phone, Wireless Local Loop (WLL) station, Personal Digital Assistant (PDA), handheld device with wireless communication capabilities, computing device or other processing device connected to a wireless modem, vehicle-mounted device, wearable device, terminal equipment in a 5th Generation System (5GS), or terminal equipment in a future evolved Public Land Mobile Network (PLMN), etc., and this application embodiment is not limited in this respect. For ease of description, the devices mentioned above are collectively referred to as terminal equipment. The number of terminal equipment 10 is usually multiple, and one or more terminal equipment 10 can be distributed within the cell managed by each access network device 20.

[0048] Access network device 20 is a device deployed in an access network to provide wireless communication functionality to terminal device 10. Access network device 20 may include various forms of macro base stations, micro base stations, relay stations, access points, etc. In systems employing different wireless access technologies, the name of the device with access network device functionality may differ; for example, in a 5th Generation New Radio (5G NR) system, it is called a next-generation base station (gNodeB, gNB). As communication technologies evolve, the name "access network device" may change. For ease of description, in this embodiment, the aforementioned devices providing wireless communication functionality to terminal device 10 are collectively referred to as access network devices. Optionally, a communication relationship can be established between terminal device 10 and core network device 30 through access network device 20. For example, in a Long Term Evolution (LTE) system, access network device 20 can be one or more evolved base stations in an Evolved Universal Terrestrial Radio Access Network (EUTRAN); in a 5G NR system, access network device 20 can be one or more gNBs in a Radio Access Network (RAN). In this application embodiment, unless otherwise specified, network device refers to access network device 20, such as a base station.

[0049] Core network equipment 30 is equipment deployed in the core network. Its main functions are to provide user connectivity, manage users, and bear services, serving as an interface to external networks. For example, core network equipment in a 5G NR system includes Access and Mobility Management Function (AMF) network elements, User Plane Function (UPF) network elements, and Session Management Function (SMF) network elements.

[0050] In some embodiments, the access network device 20 and the core network device 30 communicate with each other via some air interface technology, such as the NG interface in a 5G NR system. The access network device 20 and the terminal device 10 communicate with each other via some air interface technology, such as the Uu interface.

[0051] Figure 2 illustrates a schematic diagram of a network system architecture 200 provided in an exemplary embodiment of this application. The network system architecture 200 includes: a terminal device 10, an access network device 20, and a core network device 30.

[0052] The core network device 30 includes at least one of the following functions: Location Management Function (LMF), Network Slice Selection Function (NSSF), Authentication Server Function (AUSF), Unified Data Management (UDM), AMF, SMF, Policy Control Function (PCF), UPF, Sensing Function (SF), and Network Data Analytics Function (NWDAF).

[0053] The UE connects to the Access Network (AN) via the Uu interface to establish an access layer connection, exchanging access layer messages and radio data. The UE connects to the AMF via the N1 interface to establish a non-access layer (NAS) connection, exchanging NAS messages. The AMF is the mobility management function in the core network, and the SMF is the session management function in the core network. In addition to managing the UE's mobility, the AMF is also responsible for forwarding session management-related messages between the UE and the SMF. The PCF is the policy management function in the core network, responsible for formulating policies related to UE mobility management, session management, and charging. The PCF transmits data with the Application Function (AF) via the N5 interface. The UPF is the user plane function in the core network, transmitting data with the external data network (DN) via the N6 interface and with the AN via the N3 interface.

[0054] The "5G NR system" in this application embodiment can also be referred to as a 5G system or an NR system, but those skilled in the art will understand its meaning. The technical solutions described in this application embodiment can be applied to LTE systems, 5G NR systems, and subsequent evolution systems of 5G NR systems such as 6G systems, as well as other communication systems such as Narrow Band Internet of Things (NB-IoT) systems. This application does not limit these applications.

[0055] The network devices involved in this application embodiment are access network devices or core network devices.

[0056] For example, the access network equipment includes at least one of the following: gNB, Centralized Unit (CU), Distributed Unit (DU), Centralized Unit-Control Plane (CU-CP), and Centralized Unit-User Plane (CU-UP).

[0057] For example, core network equipment includes at least one of the following: LMF network element, NSSF network element, AMF network element, AUSF network element, UPF network element, SMF network element, PCF network element, UDM network element, SF network element, NWDAF network element, and Artificial Intelligence (AI) function management entity.

[0058] The following section describes the relevant technologies involved in the embodiments of this application:

[0059] • Measurement function:

[0060] The measurement process of terminal equipment is generally used to obtain the signal measurement results of the measured object. The evaluation index of the signal measurement results includes at least one of the following: Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Signal to Interference plus Noise Ratio (SINR), and Receive Signal Strength Indicator (RSSI).

[0061] For connected terminal devices, the purpose of performing measurement functions is to acquire signal measurement results from at least one neighboring cell and report these results to the network device when network configuration conditions are met. The network device can then control the mobility of the terminal device based on the measurement results reported by the terminal device, such as controlling the cell handover process.

[0062] To allow connected terminal devices to selectively perform measurement processes, network devices typically configure one or more Measurement Objects (MOs) for the terminal devices via dedicated signaling. Each MO configuration contains information about a target measurement frequency. In related technologies, the measurement results for all cells are obtained by the terminal devices based on the actual measurement process.

[0063] The measurement process of terminal devices is generally used to acquire signal measurement results of the measured object. For connected terminal devices, the purpose of performing the measurement function is to acquire signal measurement results of at least one neighboring cell and report the measurement results to the network device when the network configuration conditions are met. In related technologies, the measurement results of all cells are acquired by the terminal device through an actual measurement process, which can affect the efficiency of acquiring measurement results. To solve the above problems, embodiments of this application provide an information transmission method.

[0064] Figure 3 shows a flowchart of an information transmission method provided in an exemplary embodiment of this application, which is performed by a terminal device 31 and a network device 32, and includes at least one of the following steps.

[0065] Step 310: Terminal device 31 sends first information to network device 32; correspondingly, network device 32 receives the first information sent by terminal device 31.

[0066] The first information includes the identification information of the first cell and the measurement results of the first cell. The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

[0067] In some embodiments, the measurement results of the first cell include cell-level measurement results and / or beam-level measurement results, and the frequency domain prediction function of the measurement results includes one or more of the following functions: frequency domain prediction function of cell measurement results and frequency domain prediction function of beam measurement results;

[0068] Among them, the frequency domain prediction function for cell measurement results is used to predict cell-level measurement results, and the frequency domain prediction function for beam measurement results is used to predict beam-level measurement results.

[0069] For example, the cell measurement result frequency domain prediction function is used to predict the cell-level measurement results of one or more cells deployed on other frequency points based on the cell-level measurement results of the cells deployed on the measured frequency points. For example, based on the cell-level measurement results of cell 1 deployed on frequency point 1, the cell-level measurement results of cell 2 deployed on frequency point 2 are predicted.

[0070] The beam measurement result frequency domain prediction function is used to predict the beam level measurement results of one or more other frequency points to be predicted based on the beam level measurement results of the beam deployed at the measured frequency point. For example, based on the beam level measurement results of beam 1 deployed at frequency point 1, the beam level measurement results of beam 2 deployed at frequency point 2 can be predicted.

[0071] In some embodiments, the first information further includes one or more of the following:

[0072] • First indication information, used to indicate that the measurement result of the first cell is the measurement result obtained by the terminal device 31 through the actual measurement process or the measurement result obtained by the terminal device 31 through the prediction process;

[0073] • Second indication information, used to indicate the confidence level or accuracy of the measurement results of the first cell;

[0074] • One or more pieces of second information, including the identification information of the second cell and / or the measurement results of the second cell;

[0075] The measurement results of the second cell are used to assist terminal device 31 in predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies.

[0076] Assuming the first cell is deployed on frequency f1, if the measurement results of all cells on the same frequency as the first cell need to be obtained by the terminal device 31 through a prediction process (i.e., the measurement results of all cells deployed on frequency f1 do not need to be obtained through a measurement process), then by default, the measurement results of the first cell included in the first information are all obtained through the prediction process. In this case, the first information may not include the first indication information. Only when the network device 32 cannot determine whether the measurement result of the first cell is a measurement result or a prediction result, will the terminal device 31 include the first indication information in the first information.

[0077] If the measurement result of the first cell is obtained by the terminal device 31 through the prediction process, the measurement result obtained through the prediction process will usually have a prediction error compared with the measurement result obtained through the actual measurement process. In order to characterize the range of the prediction error, the terminal device 31 can provide the network device 32 with the confidence level or accuracy of the measurement result of the first cell (i.e., the second indication information) through the first information, thereby assisting the network device 32 in determining how much confidence to consider the measurement result of the first cell reported by the terminal device 31.

[0078] The second cell is used to assist in reasoning to obtain the measurement results of the first cell. The terminal device 31 considers the measurement results of the second cell when predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies. Since the measurement result prediction process is related to the frequency domain prediction function of the measurement results, the second cell and the first cell are restricted to be deployed on different frequencies, that is, the second cell and the first cell are inter-frequency neighboring cells.

[0079] As an example and not a limitation, the identification information of the first cell includes one or more of the following: first physical cell identity (PCI) information, first cell global identity (CGI) information, first serving cell index information, and a combination of first frequency point and first PCI.

[0080] By way of example and not limitation, the measurement results of the first cell include one or more of the following measurements: first RSRP, first RSRQ, first SINR, and first RSSI.

[0081] The identification information of the second cell is similar to that of the first cell, and the measurement results of the second cell include similar quantities as those of the first cell, so they will not be repeated here.

[0082] Step 301 (optional step): Terminal device 31 receives third indication information sent by network device 32; correspondingly, network device 32 sends third indication information to terminal device 31.

[0083] The third instruction information is used to instruct the terminal device 31 whether the first information needs to include the second instruction information when sending the first information. That is, the third instruction information can control the information content contained in the first information.

[0084] For example, if the value of the third indication information is the first value (e.g., the value is "1"), then the terminal device 31 needs to report the second indication information at the same time as reporting the measurement results of the first cell (i.e., the scenario where the first information contains the second indication information).

[0085] If the value of the third indication information is the second value (e.g., the value is "0"), then the terminal device 31 does not need to report the second indication information when reporting the measurement results of the first cell (i.e., the first information does not contain the second indication information).

[0086] Step 302 (optional step): Terminal device 31 receives the fourth instruction information sent by network device 32; correspondingly, network device 32 sends the fourth instruction information to terminal device 31.

[0087] The fourth instruction information is used to instruct the terminal device 31 whether it needs to include one or more second information in the first information when sending the first information. That is, the fourth instruction information can control the information content contained in the first information.

[0088] For example, if the value of the fourth indication information is the third value (e.g., the value of the third value is "1"), then the terminal device 31 needs to report one or more second information while reporting the measurement results of the first cell (i.e., the first information contains one or more second information).

[0089] If the value of the fourth indication information is the fourth value (for example, the value of the fourth value is "0"), then the terminal device 31 does not need to report one or more second information when reporting the measurement results of the first cell (that is, the first information does not contain one or more second information).

[0090] It should be noted that step 301 or step 302 occurs before step 310. In some implementations, the terminal device executes step 301 first and then step 310; in other implementations, the terminal device executes step 302 first and then step 310; in still other implementations, the terminal device executes both steps 301 and 302 (in which case the third and fourth instruction information can be carried by the same configuration message or by different configuration messages) and then executes step 310. This application does not limit this.

[0091] Figure 4 shows a flowchart of an information transmission method provided by an exemplary embodiment of this application, which is executed by a terminal device and includes at least one of the following steps.

[0092] Step 410: Send the first message.

[0093] The first information includes the identification information of the first cell and the measurement results of the first cell. The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

[0094] The terminal device sends first information to the network device. The measurement result of the first cell in the first information is obtained through a prediction process. The first information may also include other information for verifying the measurement result, thereby assisting the network device in verifying the accuracy of the predicted measurement result. Other information will be specifically described in the following embodiments.

[0095] The network devices involved in this application embodiment are access network devices or core network devices.

[0096] For example, the access network equipment includes at least one of the following: gNB, CU, DU, CU-CP, CU-UP, and next-generation access network equipment.

[0097] For example, the core network equipment includes at least one of the following: LMF network element, NSSF network element, AMF network element, AUSF network element, UPF network element, SMF network element, PCF network element, UDM network element, SF network element, NWDAF network element, and AI function management entity.

[0098] By way of example and not limitation, the identification information of the first cell includes one or more of the following: first PCI information, first CGI information, first serving cell index information, and a combination of first frequency point and first PCI. The identification information of the first cell may also include other information, which is not limited in this embodiment.

[0099] By way of example and not limitation, the measurement results of the first cell include one or more of the following measurements: first RSRP, first RSRQ, first SINR, and first RSSI. The measurement results of the first cell may also include other measurements, which are not limited in this application embodiment.

[0100] 1.1 Frequency domain prediction function for measurement results;

[0101] In some embodiments, the measurement results of the first cell include cell-level measurement results and / or beam-level measurement results, and the frequency domain prediction function of the measurement results includes one or more of the following functions: frequency domain prediction function of cell measurement results and frequency domain prediction function of beam measurement results;

[0102] Among them, the frequency domain prediction function for cell measurement results is used to predict cell-level measurement results, and the frequency domain prediction function for beam measurement results is used to predict beam-level measurement results.

[0103] For example, the cell measurement result frequency domain prediction function is used to predict the cell-level measurement results of one or more cells deployed on other frequency points based on the cell-level measurement results of the cells deployed on the measured frequency points. For example, based on the cell-level measurement results of cell 1 deployed on frequency point 1, the cell-level measurement results of cell 2 deployed on frequency point 2 are predicted.

[0104] The beam measurement result frequency domain prediction function is used to predict the beam level measurement results of one or more other beams deployed at different frequency points based on the beam level measurement results of the beams deployed at the measured frequency points. For example, based on the beam level measurement results of beam 1 deployed at frequency point 1, the beam level measurement results of beam 2 deployed at frequency point 2 can be predicted.

[0105] The frequency domain prediction function for measurement results includes the following four scenarios: Scenario 1, Scenario 2, Scenario 3, and Scenario 4. Among them, Scenario 1 and Scenario 2 correspond to the frequency domain prediction function for cell measurement results, and Scenario 3 and Scenario 4 correspond to the frequency domain prediction function for beam measurement results.

[0106] 1.1.1 Scenario 1 and Scenario 2;

[0107] In some embodiments, the frequency domain prediction function for cell measurement results includes one or more of the following functions: a first frequency domain prediction function for cell measurement results and a second frequency domain prediction function for cell measurement results;

[0108] Among them, the first cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 2 based on the cell-level measurement result corresponding to cell 1. The cell-level measurement result corresponding to cell 1 is the cell measurement result corresponding to the cell deployed on the measured frequency point, and the cell-level measurement result corresponding to cell 1 has been filtered by layer 3. The cell-level measurement result corresponding to cell 2 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted.

[0109] The second cell measurement result frequency domain prediction function is used to predict the cell-level measurement result of cell 4 based on the cell-level measurement result of cell 3. The cell-level measurement result of cell 3 is the cell measurement result of the cell deployed on the measured frequency point. The cell-level measurement result of cell 3 has been filtered by layer 1 but not by layer 3. The cell-level measurement result of cell 4 is the cell measurement result of the cell deployed on one or more different frequency points to be predicted.

[0110] Scenario 1: Based on the cell-level measurement results of cells deployed on the measured frequency points, predict the cell-level measurement results of one or more cells deployed on other frequency points to be predicted, where the cell-level measurement results of cells deployed on the measured frequency points have undergone layer 3 filtering. The function described in Scenario 1 can be called "frequency domain prediction function of cell measurement results after layer 3 filtering".

[0111] Scenario 2: Based on the cell-level measurement results of cells deployed on the measured frequency points, predict the cell-level measurement results of one or more cells deployed on other frequency points to be predicted. The cell-level measurement results of cells deployed on the measured frequency points have undergone Layer 1 filtering but not Layer 3 filtering. The function described in Scenario 2 can be called "Frequency Domain Prediction Function of Cell Measurement Results After Layer 1 Filtering".

[0112] For example, the terminal device has already obtained the cell-level measurement results of cell 1 deployed on frequency point 1 through the actual measurement process. It is also known that the cell-level measurement results of cell 2 deployed on frequency point 2 and cell 3 deployed on frequency point 3 can be predicted from the cell-level measurement results of cell 1 (for example, there is spatial correlation between cell 2 and cell 3 and cell 1, which could be cell co-location). Therefore, inference technology (e.g., AI inference technology) can be used to predict the cell-level measurement results of cell 2 and cell 3 based on the cell-level measurement results of cell 1. This inference technology can be called the cell-level measurement result frequency domain prediction function. If the cell-level measurement results of cell 1 have undergone layer 3 filtering, it corresponds to scenario one above; if the cell-level measurement results of cell 1 have only undergone layer 1 filtering but not layer 3 filtering, it corresponds to scenario two above.

[0113] Cell-level measurement results can also be described as cell measurement results, cell granularity measurement results, or other terms, and this application does not limit this to the embodiments.

[0114] 1.1.2 Scenario 3 and Scenario 4;

[0115] In some embodiments, the beam measurement result frequency domain prediction function includes one or more of the following functions: a first beam measurement result frequency domain prediction function and a second beam measurement result frequency domain prediction function;

[0116] Among them, the first type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 2 based on the beam measurement result corresponding to beam 1. The beam measurement result corresponding to beam 1 is the beam measurement result corresponding to the beam deployed at the measured frequency point, and the beam measurement result corresponding to beam 1 has been filtered by layer 3. The beam measurement result corresponding to beam 2 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

[0117] The second type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 4 based on the beam measurement result corresponding to beam 3. The beam measurement result corresponding to beam 3 is the beam measurement result corresponding to the beam deployed at the measured frequency point. The beam measurement result corresponding to beam 3 has been filtered by layer 1 but not by layer 3. The beam measurement result corresponding to beam 4 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

[0118] Scenario 3: Based on the beam-level measurement results of the beams deployed at the measured frequency points, predict the beam-level measurement results of one or more other beams deployed at different frequency points to be predicted. The beam-level measurement results of the beams deployed at the measured frequency points have been filtered by layer 3. The function described in Scenario 3 can be simply referred to as "frequency domain prediction function of beam measurement results after layer 3 filtering".

[0119] Scenario 4: Based on the beam-level measurement results of the beams deployed at the measured frequency points, predict the beam-level measurement results of one or more other beams deployed at different frequency points to be predicted. The beam-level measurement results of the beams deployed at the measured frequency points have been filtered by layer 1 but not by layer 3. The function described in Scenario 4 can be simply referred to as "frequency domain prediction function of beam measurement results after layer 1 filtering".

[0120] For example, the terminal device has already obtained the beam-level measurement results of beam 1 deployed at frequency 1 through actual measurement. It is also known that the beam-level measurement results of beam 2 deployed at frequency 2 and beam 3 deployed at frequency 3 can be predicted from the beam-level measurement results of beam 1 (for example, there is spatial correlation between beam 2 and beam 3 and beam 1, which could be beam co-location). Therefore, inference techniques (such as AI inference techniques) can be used to predict the beam-level measurement results of beam 2 and beam 3 based on the beam-level measurement results of beam 1. This inference technique can be called the beam-level measurement result frequency domain prediction function. If the beam-level measurement results of beam 1 have undergone layer 3 filtering, it corresponds to scenario three above; if the beam-level measurement results of beam 1 have only undergone layer 1 filtering but not layer 3 filtering, it corresponds to scenario four above.

[0121] The beam-level measurement results can also be described as beam measurement results, beam granularity measurement results, or other terms, and the embodiments of this application do not limit this.

[0122] 1.2 The information included in the first piece of information;

[0123] In some embodiments, the first information further includes one or more of the following:

[0124] (1) First indication information, used to indicate that the measurement result of the first cell is the measurement result obtained by the terminal device through the actual measurement process or the measurement result obtained by the terminal device through the prediction process;

[0125] (2) Second indication information, used to indicate the confidence level or accuracy of the measurement results of the first cell;

[0126] (3) One or more second information, including the identification information of the second cell and / or the measurement results of the second cell;

[0127] The measurement results of the second cell are used to assist the terminal equipment in predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies.

[0128] Regarding (1), assuming the first cell is deployed on frequency point f1, if the measurement results of all cells on the same frequency as the first cell need to be obtained by the terminal device through a prediction process, that is, the measurement results of all cells deployed on frequency point f1 do not need to be obtained through a measurement process, then by default, the measurement results of the first cell included in the first information are all obtained through a prediction process. In this case, the first information may not include the first indication information. Only when the network device cannot determine whether the measurement result of the first cell is a measurement result or a prediction result, the terminal device includes the first indication information in the first information.

[0129] Regarding (2), if the measurement result of the first cell is the measurement result obtained by the terminal device through the prediction process, the measurement result obtained through the prediction process will usually have a prediction error compared with the measurement result obtained through the actual measurement process. In order to characterize the range of prediction error, the terminal device can provide the network device with the confidence level or accuracy of the measurement result of the first cell (i.e., the second indication information) through the first information, thereby assisting the network device in determining how much confidence to consider the measurement result of the first cell reported by the terminal device.

[0130] Regarding (3), the second cell is used to assist in reasoning to obtain the measurement results of the first cell. The terminal device considers the measurement results of the second cell in the process of predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies. Since the measurement result prediction process is related to the frequency domain prediction function of the measurement results, the second cell and the first cell are restricted to be deployed on different frequencies, that is, the second cell and the first cell are inter-frequency neighboring cells.

[0131] In some embodiments, the terminal device uses the measurement results of one or more second cells (the measurement results of the second cells are obtained through the actual measurement process) as one of the inputs to the first AI model, and obtains the measurement results of the first cell through the reasoning process of the first AI model. The first AI model is used to implement the frequency domain prediction function of the measurement results.

[0132] Since the first AI model may consider the measurement results of one or more second cells during the inference process, the first information may contain one or more second information.

[0133] In some embodiments, the identification information of the second cell includes one or more of the following: second PCI information, second CGI information, second serving cell index information, second frequency point, and a combination of the second PCI.

[0134] In some embodiments, the measurement results of the second cell include cell-level measurement results and / or beam-level measurement results.

[0135] In some embodiments, the measurement results of the second cell include one or more of the following measurements: second RSRP, second RSRQ, second SINR, and second RSSI.

[0136] For specific implementation details, please refer to the identification information and measurement results of the first community; they will not be repeated here.

[0137] In some implementations, the second information includes the identification information of the second cell; in other implementations, the second information includes the measurement results of the second cell; and in still other implementations, the second information includes both the identification information of the second cell and the measurement results of the second cell.

[0138] In some implementations, the first information includes first instruction information; in other implementations, the first information includes second instruction information; in still other implementations, the first information includes one or more second information; and in yet another implementation, the first information includes second instruction information and one or more second information.

[0139] By providing the first indication information, network devices can confirm whether the measurement results of the first cell reported by the terminal device are actual or predicted measurements. This assists network devices in adopting different strategies for using the measurement results of the first cell. For example, for actual measurements, network devices can consider using the measurement results directly and employing a simple algorithm to determine whether to perform cell handover for the terminal device. For predicted measurements, network devices may need to carefully determine the extent to which the measurement results can be used. Only when the usability of the measurement results is confirmed should the measurement results be used to determine whether to perform cell handover for the terminal device. This avoids scenarios where network devices mistakenly treat predicted and actual measurement results equally, leading to a degraded system handover performance.

[0140] By providing a second indication, network devices can be assisted in determining the extent to which the measurement results of the first cell reported by the terminal device can be trusted. This provides network devices with more dimensions of input for their judgment and avoids network devices making blind judgments and decisions.

[0141] By providing secondary information, the network device is informed of the input information of the AI ​​model that generates the measurement results of the first cell. This can assist the network device in performing secondary verification, that is, verifying the accuracy of the measurement results of the first cell reported by the terminal device.

[0142] 1.3 Third instruction information;

[0143] In some embodiments, the method further includes: receiving third indication information, the third indication information being used to indicate whether the terminal device needs to include second indication information in the first information when sending the first information.

[0144] The third instruction information is used to instruct the terminal device whether it needs to report the second instruction information at the same time as reporting the measurement results of the first cell. In other words, the third instruction information can control the information content contained in the first information.

[0145] For example, if the value of the third indication information is the first value (e.g., the value is "1"), then the terminal device is instructed to report the second indication information at the same time as reporting the measurement results of the first cell (i.e., the first information contains the second indication information).

[0146] If the value of the third indication information is the second value (e.g., the value is "0"), then the terminal device does not need to report the second indication information when reporting the measurement results of the first cell (i.e., the first information does not contain the second indication information).

[0147] Alternatively, the first value can be 0, which indicates that the terminal device needs to report the second indication information when reporting the measurement results of the first cell; the second value can be 1, which indicates that the terminal device does not need to report the second indication information when reporting the measurement results of the first cell. This embodiment does not limit this.

[0148] By receiving third indication information, the terminal device can avoid always carrying second indication information when reporting the measurement results of the first cell. Always carrying second indication information incurs additional overhead. With the control of third indication information, the terminal device can flexibly provide or not provide second indication information to the network device, which helps to save uplink overhead and enhances the flexibility of the network device's reporting control.

[0149] 1.4 Fourth instruction information;

[0150] In some embodiments, the method further includes: receiving fourth indication information, the fourth indication information being used to indicate whether the terminal device needs to include one or more second information in the first information when sending the first information.

[0151] The fourth indication information is used to indicate whether the terminal device needs to report one or more second information while reporting the measurement results of the first cell. In other words, the fourth indication information can control the information content included in the first information.

[0152] For example, if the value of the fourth indication information is the third value (e.g., the third value is "1"), then the terminal device is instructed to report one or more second information while reporting the measurement results of the first cell (i.e., the first information contains one or more second information).

[0153] If the fourth indication information is a fourth value (e.g., the fourth value is "0"), then the terminal device does not need to report one or more second information when reporting the measurement results of the first cell (i.e., the first information does not contain one or more second information).

[0154] Alternatively, the third value can be 0, which indicates that the terminal device needs to report one or more second information while reporting the measurement results of the first cell; the fourth value can be 1, which indicates that the terminal device does not need to report one or more second information when reporting the measurement results of the first cell. This embodiment does not limit this.

[0155] By receiving the fourth indication information, the terminal device can avoid always carrying the second information when reporting the measurement results of the first cell. Always carrying the second information incurs additional overhead. With the control of the fourth indication information, the terminal device can flexibly provide or not provide the second information to the network device, which helps to save uplink overhead and enhances the flexibility of the network device's reporting control.

[0156] In summary, the method provided in this embodiment sends first information, which includes the identification information of the first cell and the measurement results of the first cell. The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results. This allows the predicted measurement results of the first cell to be sent to the network device after a small number of actual measurement processes, instead of obtaining all measurement results based on the actual measurement process, thus improving the efficiency of measurement result acquisition.

[0157] The method provided in this embodiment also avoids the scenario where the network device mistakenly treats the predicted measurement results and the actual measurement results equally, which would lead to a decrease in system handover performance, by including other information in the first information to assist the network device in verifying the measurement results of the first cell.

[0158] Figure 5 shows a flowchart of an information transmission method provided in an exemplary embodiment of this application, which is performed by a network device and includes at least one of the following steps.

[0159] Step 510: Receive the first message.

[0160] The first information includes the identification information of the first cell and the measurement results of the first cell. The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

[0161] The network devices involved in this application embodiment are access network devices or core network devices.

[0162] For example, the access network equipment includes at least one of the following: gNB, CU, DU, CU-CP, CU-UP, and next-generation access network equipment.

[0163] For example, the core network equipment includes at least one of the following: LMF network element, NSSF network element, AMF network element, AUSF network element, UPF network element, SMF network element, PCF network element, UDM network element, SF network element, NWDAF network element, and AI function management entity.

[0164] By way of example and not limitation, the identification information of the first cell includes one or more of the following: first PCI information, first CGI information, first serving cell index information, and a combination of first frequency point and first PCI. The identification information of the first cell may also include other information, which is not limited in this embodiment.

[0165] By way of example and not limitation, the measurement results of the first cell include one or more of the following measurements: first RSRP, first RSRQ, first SINR, and first RSSI. The measurement results of the first cell may also include other measurements, which are not limited in this application embodiment.

[0166] For specific implementation details, please refer to the embodiment shown in Figure 4, which will not be repeated here.

[0167] 2.1 Frequency domain prediction function for measurement results;

[0168] In some embodiments, the measurement results of the first cell include cell-level measurement results and / or beam-level measurement results, and the frequency domain prediction function of the measurement results includes one or more of the following functions: frequency domain prediction function of cell measurement results and frequency domain prediction function of beam measurement results;

[0169] Among them, the frequency domain prediction function for cell measurement results is used to predict cell-level measurement results, and the frequency domain prediction function for beam measurement results is used to predict beam-level measurement results.

[0170] For example, the cell measurement result frequency domain prediction function is used to predict the cell-level measurement results of one or more cells deployed on other frequency points based on the cell-level measurement results of the cells deployed on the measured frequency points. For example, based on the cell-level measurement results of cell 1 deployed on frequency point 1, the cell-level measurement results of cell 2 deployed on frequency point 2 are predicted.

[0171] The beam measurement result frequency domain prediction function is used to predict the beam level measurement results of one or more other beams deployed at different frequency points based on the beam level measurement results of the beams deployed at the measured frequency points. For example, based on the beam level measurement results of beam 1 deployed at frequency point 1, the beam level measurement results of beam 2 deployed at frequency point 2 can be predicted.

[0172] The frequency domain prediction function for measurement results includes the following four scenarios: Scenario 1, Scenario 2, Scenario 3, and Scenario 4. Among them, Scenario 1 and Scenario 2 correspond to the frequency domain prediction function for cell measurement results, and Scenario 3 and Scenario 4 correspond to the frequency domain prediction function for beam measurement results.

[0173] 2.1.1 Scenario 1 and Scenario 2;

[0174] In some embodiments, the frequency domain prediction function for cell measurement results includes one or more of the following functions: a first frequency domain prediction function for cell measurement results and a second frequency domain prediction function for cell measurement results;

[0175] Among them, the first cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 2 based on the cell-level measurement result corresponding to cell 1. The cell-level measurement result corresponding to cell 1 is the cell measurement result corresponding to the cell deployed on the measured frequency point, and the cell-level measurement result corresponding to cell 1 has been filtered by layer 3. The cell-level measurement result corresponding to cell 2 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted.

[0176] The second cell measurement result frequency domain prediction function is used to predict the cell-level measurement result of cell 4 based on the cell-level measurement result of cell 3. The cell-level measurement result of cell 3 is the cell measurement result of the cell deployed on the measured frequency point. The cell-level measurement result of cell 3 has been filtered by layer 1 but not by layer 3. The cell-level measurement result of cell 4 is the cell measurement result of the cell deployed on one or more different frequency points to be predicted.

[0177] Scenario 1: Based on the cell-level measurement results of cells deployed on the measured frequency points, predict the cell-level measurement results of one or more cells deployed on other frequency points to be predicted, where the cell-level measurement results of cells deployed on the measured frequency points have undergone layer 3 filtering. The function described in Scenario 1 can be called "frequency domain prediction function of cell measurement results after layer 3 filtering".

[0178] Scenario 2: Based on the cell-level measurement results of cells deployed on the measured frequency points, predict the cell-level measurement results of one or more cells deployed on other frequency points to be predicted. The cell-level measurement results of cells deployed on the measured frequency points have undergone Layer 1 filtering but not Layer 3 filtering. The function described in Scenario 2 can be called "Frequency Domain Prediction Function of Cell Measurement Results After Layer 1 Filtering".

[0179] For example, the terminal device has already obtained the cell-level measurement results of cell 1 deployed on frequency point 1 through the actual measurement process. It is also known that the cell-level measurement results of cell 2 deployed on frequency point 2 and cell 3 deployed on frequency point 3 can be predicted from the cell-level measurement results of cell 1 (for example, there is spatial correlation between cell 2 and cell 3 and cell 1, which could be cell co-location). Therefore, inference technology (e.g., AI inference technology) can be used to predict the cell-level measurement results of cell 2 and cell 3 based on the cell-level measurement results of cell 1. This inference technology can be called the cell-level measurement result frequency domain prediction function. If the cell-level measurement results of cell 1 have undergone layer 3 filtering, it corresponds to scenario one above; if the cell-level measurement results of cell 1 have only undergone layer 1 filtering but not layer 3 filtering, it corresponds to scenario two above.

[0180] Cell-level measurement results can also be described as cell measurement results, cell granularity measurement results, or other terms, and this application does not limit this to the embodiments.

[0181] 2.1.2 Scenario 3 and Scenario 4;

[0182] In some embodiments, the beam measurement result frequency domain prediction function includes one or more of the following functions: a first beam measurement result frequency domain prediction function and a second beam measurement result frequency domain prediction function;

[0183] Among them, the first type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 2 based on the beam measurement result corresponding to beam 1. The beam measurement result corresponding to beam 1 is the beam measurement result corresponding to the beam deployed at the measured frequency point, and the beam measurement result corresponding to beam 1 has been filtered by layer 3. The beam measurement result corresponding to beam 2 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

[0184] The second type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 4 based on the beam measurement result corresponding to beam 3. The beam measurement result corresponding to beam 3 is the beam measurement result corresponding to the beam deployed at the measured frequency point. The beam measurement result corresponding to beam 3 has been filtered by layer 1 but not by layer 3. The beam measurement result corresponding to beam 4 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

[0185] Scenario 3: Based on the beam-level measurement results of the beams deployed at the measured frequency points, predict the beam-level measurement results of one or more other beams deployed at different frequency points to be predicted. The beam-level measurement results of the beams deployed at the measured frequency points have been filtered by layer 3. The function described in Scenario 3 can be simply referred to as "frequency domain prediction function of beam measurement results after layer 3 filtering".

[0186] Scenario 4: Based on the beam-level measurement results of the beams deployed at the measured frequency points, predict the beam-level measurement results of one or more other beams deployed at different frequency points to be predicted. The beam-level measurement results of the beams deployed at the measured frequency points have been filtered by layer 1 but not by layer 3. The function described in Scenario 4 can be simply referred to as "frequency domain prediction function of beam measurement results after layer 1 filtering".

[0187] For example, the terminal device has already obtained the beam-level measurement results of beam 1 deployed at frequency 1 through actual measurement. It is also known that the beam-level measurement results of beam 2 deployed at frequency 2 and beam 3 deployed at frequency 3 can be predicted from the beam-level measurement results of beam 1 (for example, there is spatial correlation between beam 2 and beam 3 and beam 1, which could be beam co-location). Therefore, inference techniques (such as AI inference techniques) can be used to predict the beam-level measurement results of beam 2 and beam 3 based on the beam-level measurement results of beam 1. This inference technique can be called the beam-level measurement result frequency domain prediction function. If the beam-level measurement results of beam 1 have undergone layer 3 filtering, it corresponds to scenario three above; if the beam-level measurement results of beam 1 have only undergone layer 1 filtering but not layer 3 filtering, it corresponds to scenario four above.

[0188] The beam-level measurement results can also be described as beam measurement results, beam granularity measurement results, or other terms, and the embodiments of this application do not limit this.

[0189] 2.2 The information included in the first piece of information;

[0190] In some embodiments, the first information further includes one or more of the following:

[0191] (1) First indication information, used to indicate that the measurement result of the first cell is the measurement result obtained by the terminal device through the actual measurement process or the measurement result obtained by the terminal device through the prediction process;

[0192] (2) Second indication information, used to indicate the confidence level or accuracy of the measurement results of the first cell;

[0193] (3) One or more second information, including the identification information of the second cell and / or the measurement results of the second cell;

[0194] The measurement results of the second cell are used to assist the terminal equipment in predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies.

[0195] Regarding (1), assuming the first cell is deployed on frequency point f1, if the measurement results of all cells on the same frequency as the first cell need to be obtained by the terminal device through a prediction process, that is, the measurement results of all cells deployed on frequency point f1 do not need to be obtained through a measurement process, then by default, the measurement results of the first cell included in the first information are all obtained through a prediction process. In this case, the first information may not include the first indication information. Only when the network device cannot determine whether the measurement result of the first cell is a measurement result or a prediction result, the terminal device includes the first indication information in the first information.

[0196] Regarding (2), if the measurement result of the first cell is the measurement result obtained by the terminal device through the prediction process, the measurement result obtained through the prediction process will usually have a prediction error compared with the measurement result obtained through the actual measurement process. In order to characterize the range of prediction error, the terminal device can provide the network device with the confidence level or accuracy of the measurement result of the first cell (i.e., the second indication information) through the first information, thereby assisting the network device in determining how much confidence to consider the measurement result of the first cell reported by the terminal device.

[0197] Regarding (3), the second cell is used to assist in reasoning to obtain the measurement results of the first cell. The terminal device considers the measurement results of the second cell in the process of predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies. Since the measurement result prediction process is related to the frequency domain prediction function of the measurement results, the second cell and the first cell are restricted to be deployed on different frequencies, that is, the second cell and the first cell are inter-frequency neighboring cells.

[0198] In some embodiments, the identification information of the second cell includes one or more of the following: second PCI information, second CGI information, second serving cell index information, second frequency point, and a combination of the second PCI.

[0199] In some embodiments, the measurement results of the second cell include cell-level measurement results and / or beam-level measurement results.

[0200] In some embodiments, the measurement results of the second cell include one or more of the following measurements: second RSRP, second RSRQ, second SINR, and second RSSI.

[0201] For specific implementation details, please refer to the identification information and measurement results of the first community; they will not be repeated here.

[0202] In some implementations, the second information includes the identification information of the second cell; in other implementations, the second information includes the measurement results of the second cell; and in still other implementations, the second information includes both the identification information of the second cell and the measurement results of the second cell.

[0203] In some implementations, the first information includes first instruction information; in other implementations, the first information includes second instruction information; in still other implementations, the first information includes one or more second information; and in yet another implementation, the first information includes second instruction information and one or more second information.

[0204] 2.3 Third instruction information;

[0205] In some embodiments, the method further includes: sending third indication information, the third indication information being used to indicate whether the terminal device needs to include second indication information in the first information when sending the first information.

[0206] The third instruction information is used to instruct the terminal device whether it needs to report the second instruction information at the same time as reporting the measurement results of the first cell. In other words, the third instruction information can control the information content contained in the first information.

[0207] For example, if the value of the third indication information is the first value (e.g., the value is "1"), then the terminal device is instructed to report the second indication information at the same time as reporting the measurement results of the first cell (i.e., the first information contains the second indication information).

[0208] If the value of the third indication information is the second value (e.g., the value is "0"), then the terminal device does not need to report the second indication information when reporting the measurement results of the first cell (i.e., the first information does not contain the second indication information).

[0209] Alternatively, the first value can be 0, which indicates that the terminal device needs to report the second indication information when reporting the measurement results of the first cell; the second value can be 1, which indicates that the terminal device does not need to report the second indication information when reporting the measurement results of the first cell. This embodiment does not limit this.

[0210] 2.4 Fourth instruction information;

[0211] In some embodiments, the method further includes: sending fourth indication information, the fourth indication information being used to indicate whether the terminal device needs to include one or more second information in the first information when sending the first information.

[0212] The fourth indication information is used to indicate whether the terminal device needs to report one or more second information while reporting the measurement results of the first cell. In other words, the fourth indication information can control the information content included in the first information.

[0213] For example, if the value of the fourth indication information is the third value (e.g., the third value is "1"), then the terminal device is instructed to report one or more second information while reporting the measurement results of the first cell (i.e., the first information contains one or more second information).

[0214] If the fourth indication information is a fourth value (e.g., the fourth value is "0"), then the terminal device does not need to report one or more second information when reporting the measurement results of the first cell (i.e., the first information does not contain one or more second information).

[0215] Alternatively, the third value can be 0, which indicates that the terminal device needs to report one or more second information while reporting the measurement results of the first cell; the fourth value can be 1, which indicates that the terminal device does not need to report one or more second information when reporting the measurement results of the first cell. This embodiment does not limit this.

[0216] In summary, the method provided in this embodiment receives first information, which includes the identification information of the first cell and the measurement results of the first cell. The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results. This allows the network device to obtain the measurement results of the first cell predicted by the terminal device after a small number of actual measurement processes, instead of obtaining all measurement results based on the actual measurement process, thus improving the efficiency of obtaining measurement results.

[0217] The method provided in this embodiment also avoids the scenario where the network device mistakenly treats the predicted measurement results and the actual measurement results equally, which would lead to a decrease in system handover performance, by including other information in the first information to assist the network device in verifying the measurement results of the first cell.

[0218] In the above embodiments, the embodiments corresponding to FIG4 and FIG5 can be implemented individually or in combination, and this application does not limit them.

[0219] Figure 6 shows a block diagram of a terminal device provided in an exemplary embodiment of this application. The device can be implemented as a terminal device, or as part of a terminal device, through software, hardware, or a combination of both. The device includes:

[0220] The transmitting module 610 is used to transmit first information, which includes the identification information of the first cell and the measurement results of the first cell;

[0221] The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

[0222] By way of example and not limitation, the identification information of the first cell includes one or more of the following: first PCI information, first CGI information, first serving cell index information, and a combination of first frequency point and first PCI. The identification information of the first cell may also include other information, which is not limited in this embodiment.

[0223] By way of example and not limitation, the measurement results of the first cell include one or more of the following measurements: first RSRP, first RSRQ, first SINR, and first RSSI. The measurement results of the first cell may also include other measurements, which are not limited in this application embodiment.

[0224] For specific implementation details, please refer to the embodiment shown in Figure 4, which will not be repeated here.

[0225] 3.1 Frequency domain prediction function for measurement results;

[0226] In one possible design of this embodiment, the measurement results of the first cell include cell-level measurement results and / or beam-level measurement results. The frequency domain prediction function of the measurement results includes one or more of the following functions: frequency domain prediction function of cell measurement results and frequency domain prediction function of beam measurement results; wherein, the frequency domain prediction function of cell measurement results is used to predict cell-level measurement results, and the frequency domain prediction function of beam measurement results is used to predict beam-level measurement results.

[0227] For example, the cell measurement result frequency domain prediction function is used to predict the cell-level measurement results of one or more cells deployed on other frequency points based on the cell-level measurement results of the cells deployed on the measured frequency points. For example, based on the cell-level measurement results of cell 1 deployed on frequency point 1, the cell-level measurement results of cell 2 deployed on frequency point 2 are predicted.

[0228] The beam measurement result frequency domain prediction function is used to predict the beam level measurement results of one or more other beams deployed at different frequency points based on the beam level measurement results of the beams deployed at the measured frequency points. For example, based on the beam level measurement results of beam 1 deployed at frequency point 1, the beam level measurement results of beam 2 deployed at frequency point 2 can be predicted.

[0229] The frequency domain prediction function for measurement results includes the following four scenarios: Scenario 1, Scenario 2, Scenario 3, and Scenario 4. Among them, Scenario 1 and Scenario 2 correspond to the frequency domain prediction function for cell measurement results, and Scenario 3 and Scenario 4 correspond to the frequency domain prediction function for beam measurement results.

[0230] 3.1.1 Scenario 1 and Scenario 2;

[0231] In one possible design of this embodiment, the frequency domain prediction function of cell measurement results includes one or more of the following functions: a first frequency domain prediction function of cell measurement results and a second frequency domain prediction function of cell measurement results;

[0232] Among them, the first cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 2 based on the cell-level measurement result corresponding to cell 1. The cell-level measurement result corresponding to cell 1 is the cell measurement result corresponding to the cell deployed on the measured frequency point, and the cell-level measurement result corresponding to cell 1 has been filtered by layer 3. The cell-level measurement result corresponding to cell 2 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted.

[0233] The second cell measurement result frequency domain prediction function is used to predict the cell-level measurement result of cell 4 based on the cell-level measurement result of cell 3. The cell-level measurement result of cell 3 is the cell measurement result of the cell deployed on the measured frequency point. The cell-level measurement result of cell 3 has been filtered by layer 1 but not by layer 3. The cell-level measurement result of cell 4 is the cell measurement result of the cell deployed on one or more different frequency points to be predicted.

[0234] Scenario 1: Based on the cell-level measurement results of cells deployed on the measured frequency points, predict the cell-level measurement results of one or more cells deployed on other frequency points to be predicted, where the cell-level measurement results of cells deployed on the measured frequency points have undergone layer 3 filtering. The function described in Scenario 1 can be called "frequency domain prediction function of cell measurement results after layer 3 filtering".

[0235] Scenario 2: Based on the cell-level measurement results of cells deployed on the measured frequency points, predict the cell-level measurement results of one or more cells deployed on other frequency points to be predicted. The cell-level measurement results of cells deployed on the measured frequency points have undergone Layer 1 filtering but not Layer 3 filtering. The function described in Scenario 2 can be called "Frequency Domain Prediction Function of Cell Measurement Results After Layer 1 Filtering".

[0236] Cell-level measurement results can also be described as cell measurement results, cell granularity measurement results, or other terms, and this application does not limit this to the embodiments.

[0237] 3.1.2 Scenario 3 and Scenario 4;

[0238] In one possible design of this embodiment, the beam measurement result frequency domain prediction function includes one or more of the following functions: a first beam measurement result frequency domain prediction function and a second beam measurement result frequency domain prediction function.

[0239] Among them, the first type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 2 based on the beam measurement result corresponding to beam 1. The beam measurement result corresponding to beam 1 is the beam measurement result corresponding to the beam deployed at the measured frequency point, and the beam measurement result corresponding to beam 1 has been filtered by layer 3. The beam measurement result corresponding to beam 2 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

[0240] The second type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 4 based on the beam measurement result corresponding to beam 3. The beam measurement result corresponding to beam 3 is the beam measurement result corresponding to the beam deployed at the measured frequency point. The beam measurement result corresponding to beam 3 has been filtered by layer 1 but not by layer 3. The beam measurement result corresponding to beam 4 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

[0241] Scenario 3: Based on the beam-level measurement results of the beams deployed at the measured frequency points, predict the beam-level measurement results of one or more other beams deployed at different frequency points to be predicted. The beam-level measurement results of the beams deployed at the measured frequency points have been filtered by layer 3. The function described in Scenario 3 can be simply referred to as "frequency domain prediction function of beam measurement results after layer 3 filtering".

[0242] Scenario 4: Based on the beam-level measurement results of the beams deployed at the measured frequency points, predict the beam-level measurement results of one or more other beams deployed at different frequency points to be predicted. The beam-level measurement results of the beams deployed at the measured frequency points have been filtered by layer 1 but not by layer 3. The function described in Scenario 4 can be simply referred to as "frequency domain prediction function of beam measurement results after layer 1 filtering".

[0243] The beam-level measurement results can also be described as beam measurement results, beam granularity measurement results, or other terms, and the embodiments of this application do not limit this.

[0244] 3.2 The first piece of information includes the following information;

[0245] In one possible design of this embodiment, the first information further includes one or more of the following:

[0246] (1) First indication information, used to indicate that the measurement result of the first cell is the measurement result obtained by the terminal device through the actual measurement process or the measurement result obtained by the terminal device through the prediction process;

[0247] (2) Second indication information, used to indicate the confidence level or accuracy of the measurement results of the first cell;

[0248] (3) One or more second information, including the identification information of the second cell and / or the measurement results of the second cell;

[0249] The measurement results of the second cell are used to assist the terminal device in predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies.

[0250] Regarding (1), assuming the first cell is deployed on frequency point f1, if the measurement results of all cells on the same frequency as the first cell need to be obtained by the terminal device through a prediction process, that is, the measurement results of all cells deployed on frequency point f1 do not need to be obtained through a measurement process, then by default, the measurement results of the first cell included in the first information are all obtained through a prediction process. In this case, the first information may not include the first indication information. Only when the network device cannot determine whether the measurement result of the first cell is a measurement result or a prediction result, the terminal device includes the first indication information in the first information.

[0251] Regarding (2), if the measurement result of the first cell is the measurement result obtained by the terminal device through the prediction process, the measurement result obtained through the prediction process will usually have a prediction error compared with the measurement result obtained through the actual measurement process. In order to characterize the range of the prediction error, the terminal device can provide the network device with the confidence level or accuracy of the measurement result of the first cell (i.e., the second indication information) through the first information, thereby assisting the network device in determining how much confidence to consider the measurement result of the first cell reported by the terminal device.

[0252] Regarding (3), the second cell is used to assist in reasoning to obtain the measurement results of the first cell. The terminal device considers the measurement results of the second cell in the process of predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies. Since the measurement result prediction process is related to the frequency domain prediction function of the measurement results, the second cell and the first cell are restricted to be deployed on different frequencies, that is, the second cell and the first cell are inter-frequency neighboring cells.

[0253] In one possible design of this embodiment, the terminal device uses the measurement results of one or more second cells (the measurement results of the second cells are obtained through the actual measurement process) as one of the inputs to the first AI model, and obtains the measurement results of the first cell through the reasoning process of the first AI model. The first AI model is used to realize the frequency domain prediction function of the measurement results.

[0254] Since the first AI model may consider the measurement results of one or more second cells during the inference process, the first information may contain one or more second information.

[0255] In one possible design of this embodiment, the identification information of the second cell includes one or more of the following: second PCI information, second CGI information, second serving cell index information, second frequency point, and a combination of the second PCI.

[0256] In one possible design of this embodiment, the measurement results of the second cell include cell-level measurement results and / or beam-level measurement results.

[0257] In one possible design of this embodiment, the measurement results of the second cell include one or more of the following measurements: second RSRP, second RSRQ, second SINR, and second RSSI.

[0258] For specific implementation details, please refer to the identification information and measurement results of the first community; they will not be repeated here.

[0259] In some implementations, the second information includes the identification information of the second cell; in other implementations, the second information includes the measurement results of the second cell; and in still other implementations, the second information includes both the identification information of the second cell and the measurement results of the second cell.

[0260] In some implementations, the first information includes first instruction information; in other implementations, the first information includes second instruction information; in still other implementations, the first information includes one or more second information; and in yet another implementation, the first information includes second instruction information and one or more second information.

[0261] 3.3 Third instruction information;

[0262] In one possible design of this embodiment, the receiving module 620 is used to receive third indication information, which is used to indicate whether the terminal device needs to include second indication information in the first information when sending the first information.

[0263] The third instruction information is used to indicate whether the terminal device needs to report the second instruction information at the same time as reporting the measurement results of the first cell. That is, the third instruction information can control the information content contained in the first information.

[0264] For example, if the value of the third indication information is the first value (e.g., the value is "1"), then the terminal device needs to report the second indication information at the same time as reporting the measurement results of the first cell (i.e., the scenario where the first information contains the second indication information).

[0265] If the value of the third indication information is the second value (e.g., the value is "0"), then the terminal device does not need to report the second indication information when reporting the measurement results of the first cell (i.e., the first information does not contain the second indication information).

[0266] Alternatively, the first value can be 0, which indicates that the terminal device needs to report the second instruction information while reporting the measurement results of the first cell; the second value can be 1, which indicates that the terminal device does not need to report the second instruction information when reporting the measurement results of the first cell. This embodiment does not limit this.

[0267] 3.4 Fourth instruction information;

[0268] In one possible design of this embodiment, the receiving module 620 is used to receive fourth indication information, which is used to indicate whether the terminal device needs to include one or more second information in the first information when sending the first information.

[0269] The fourth indication information is used to indicate whether the terminal device needs to report one or more second information while reporting the measurement results of the first cell. In other words, the fourth indication information can control the information content contained in the first information.

[0270] For example, if the value of the fourth indication information is the third value (e.g., the value of the third value is "1"), then the terminal device needs to report one or more second information while reporting the measurement results of the first cell (i.e., the first information contains one or more second information).

[0271] If the fourth indication information is a fourth value (e.g., the fourth value is "0"), then the terminal device does not need to report one or more second information when reporting the measurement results of the first cell (i.e., the first information does not contain one or more second information).

[0272] Alternatively, the third value can be 0, which indicates that the terminal device needs to report one or more second information while reporting the measurement results of the first cell; the fourth value can be 1, which indicates that the terminal device does not need to report one or more second information when reporting the measurement results of the first cell. This embodiment does not limit this.

[0273] This embodiment uses one transmitting module 610 and one receiving module 620 as an example for illustration, and the number of transmitting modules 610 and receiving modules 620 is not limited.

[0274] For a description of the function of the sending module 610, please refer to step 410 in the embodiment shown in Figure 4. For a description of the function of the receiving module 620, please refer to step 410 in the embodiment shown in Figure 4.

[0275] Figure 7 shows a block diagram of a network device provided in an exemplary embodiment of this application. The device can be implemented as a network device, or as part of a network device, through software or hardware, or a combination of both. The device includes:

[0276] The receiving module 710 is used to receive first information, which includes the identification information of the first cell and the measurement results of the first cell;

[0277] The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

[0278] By way of example and not limitation, the identification information of the first cell includes one or more of the following: first PCI information, first CGI information, first serving cell index information, and a combination of first frequency point and first PCI. The identification information of the first cell may also include other information, which is not limited in this embodiment.

[0279] By way of example and not limitation, the measurement results of the first cell include one or more of the following measurements: first RSRP, first RSRQ, first SINR, and first RSSI. The measurement results of the first cell may also include other measurements, which are not limited in this application embodiment.

[0280] For specific implementation details, please refer to the embodiment shown in Figure 4, which will not be repeated here.

[0281] 4.1 Frequency domain prediction function for measurement results;

[0282] In one possible design of this embodiment, the measurement results of the first cell include cell-level measurement results and / or beam-level measurement results, and the frequency domain prediction function of the measurement results includes one or more of the following functions: frequency domain prediction function of cell measurement results and frequency domain prediction function of beam measurement results;

[0283] Among them, the frequency domain prediction function for cell measurement results is used to predict cell-level measurement results, and the frequency domain prediction function for beam measurement results is used to predict beam-level measurement results.

[0284] For example, the cell measurement result frequency domain prediction function is used to predict the cell-level measurement results of one or more cells deployed on other frequency points based on the cell-level measurement results of the cells deployed on the measured frequency points. For example, based on the cell-level measurement results of cell 1 deployed on frequency point 1, the cell-level measurement results of cell 2 deployed on frequency point 2 are predicted.

[0285] The beam measurement result frequency domain prediction function is used to predict the beam level measurement results of one or more other beams deployed at different frequency points based on the beam level measurement results of the beams deployed at the measured frequency points. For example, based on the beam level measurement results of beam 1 deployed at frequency point 1, the beam level measurement results of beam 2 deployed at frequency point 2 can be predicted.

[0286] The frequency domain prediction function for measurement results includes the following four scenarios: Scenario 1, Scenario 2, Scenario 3, and Scenario 4. Among them, Scenario 1 and Scenario 2 correspond to the frequency domain prediction function for cell measurement results, and Scenario 3 and Scenario 4 correspond to the frequency domain prediction function for beam measurement results.

[0287] 4.1.1 Scenario 1 and Scenario 2;

[0288] In one possible design of this embodiment, the frequency domain prediction function of cell measurement results includes one or more of the following functions: a first frequency domain prediction function of cell measurement results and a second frequency domain prediction function of cell measurement results;

[0289] Among them, the first cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 2 based on the cell-level measurement result corresponding to cell 1. The cell-level measurement result corresponding to cell 1 is the cell measurement result corresponding to the cell deployed on the measured frequency point, and the cell-level measurement result corresponding to cell 1 has been filtered by layer 3. The cell-level measurement result corresponding to cell 2 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted.

[0290] The second cell measurement result frequency domain prediction function is used to predict the cell-level measurement result of cell 4 based on the cell-level measurement result of cell 3. The cell-level measurement result of cell 3 is the cell measurement result of the cell deployed on the measured frequency point. The cell-level measurement result of cell 3 has been filtered by layer 1 but not by layer 3. The cell-level measurement result of cell 4 is the cell measurement result of the cell deployed on one or more different frequency points to be predicted.

[0291] Scenario 1: Based on the cell-level measurement results of cells deployed on the measured frequency points, predict the cell-level measurement results of one or more cells deployed on other frequency points to be predicted, where the cell-level measurement results of cells deployed on the measured frequency points have undergone layer 3 filtering. The function described in Scenario 1 can be called "frequency domain prediction function of cell measurement results after layer 3 filtering".

[0292] Scenario 2: Based on the cell-level measurement results of cells deployed on the measured frequency points, predict the cell-level measurement results of one or more cells deployed on other frequency points to be predicted. The cell-level measurement results of cells deployed on the measured frequency points have undergone Layer 1 filtering but not Layer 3 filtering. The function described in Scenario 2 can be called "Frequency Domain Prediction Function of Cell Measurement Results After Layer 1 Filtering".

[0293] Cell-level measurement results can also be described as cell measurement results, cell granularity measurement results, or other terms, and this application does not limit this to the embodiments.

[0294] 4.1.2 Scenario 3 and Scenario 4;

[0295] In one possible design of this embodiment, the beam measurement result frequency domain prediction function includes one or more of the following functions: a first beam measurement result frequency domain prediction function and a second beam measurement result frequency domain prediction function.

[0296] Among them, the first type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 2 based on the beam measurement result corresponding to beam 1. The beam measurement result corresponding to beam 1 is the beam measurement result corresponding to the beam deployed at the measured frequency point, and the beam measurement result corresponding to beam 1 has been filtered by layer 3. The beam measurement result corresponding to beam 2 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

[0297] The second type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 4 based on the beam measurement result corresponding to beam 3. The beam measurement result corresponding to beam 3 is the beam measurement result corresponding to the beam deployed at the measured frequency point. The beam measurement result corresponding to beam 3 has been filtered by layer 1 but not by layer 3. The beam measurement result corresponding to beam 4 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

[0298] Scenario 3: Based on the beam-level measurement results of the beams deployed at the measured frequency points, predict the beam-level measurement results of one or more other beams deployed at different frequency points to be predicted. The beam-level measurement results of the beams deployed at the measured frequency points have been filtered by layer 3. The function described in Scenario 3 can be simply referred to as "frequency domain prediction function of beam measurement results after layer 3 filtering".

[0299] Scenario 4: Based on the beam-level measurement results of the beams deployed at the measured frequency points, predict the beam-level measurement results of one or more other beams deployed at different frequency points to be predicted. The beam-level measurement results of the beams deployed at the measured frequency points have been filtered by layer 1 but not by layer 3. The function described in Scenario 4 can be simply referred to as "frequency domain prediction function of beam measurement results after layer 1 filtering".

[0300] The beam-level measurement results can also be described as beam measurement results, beam granularity measurement results, or other terms, and the embodiments of this application do not limit this.

[0301] 4.2 The information included in the first piece of information;

[0302] In one possible design of this embodiment, the first information further includes one or more of the following:

[0303] (1) First indication information, used to indicate that the measurement result of the first cell is the measurement result obtained by the terminal device through the actual measurement process or the measurement result obtained by the terminal device through the prediction process;

[0304] (2) Second indication information, used to indicate the confidence level or accuracy of the measurement results of the first cell;

[0305] (3) One or more second information, including the identification information of the second cell and / or the measurement results of the second cell;

[0306] The measurement results of the second cell are used to assist the terminal device in predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies.

[0307] Regarding (1), assuming the first cell is deployed on frequency point f1, if the measurement results of all cells on the same frequency as the first cell need to be obtained by the terminal device through a prediction process, that is, the measurement results of all cells deployed on frequency point f1 do not need to be obtained through a measurement process, then by default, the measurement results of the first cell included in the first information are all obtained through a prediction process. In this case, the first information may not include the first indication information. Only when the network device cannot determine whether the measurement result of the first cell is a measurement result or a prediction result, the terminal device includes the first indication information in the first information.

[0308] Regarding (2), if the measurement result of the first cell is the measurement result obtained by the terminal device through the prediction process, the measurement result obtained through the prediction process will usually have a prediction error compared with the measurement result obtained through the actual measurement process. In order to characterize the range of prediction error, the terminal device can provide the network device with the confidence level or accuracy of the measurement result of the first cell (i.e., the second indication information) through the first information, thereby assisting the network device in determining how much confidence to consider the measurement result of the first cell reported by the terminal device.

[0309] Regarding (3), the second cell is used to assist in reasoning to obtain the measurement results of the first cell. The terminal device considers the measurement results of the second cell in the process of predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies. Since the measurement result prediction process is related to the frequency domain prediction function of the measurement results, the second cell and the first cell are restricted to be deployed on different frequencies, that is, the second cell and the first cell are inter-frequency neighboring cells.

[0310] In one possible design of this embodiment, the identification information of the second cell includes one or more of the following: second PCI information, second CGI information, second serving cell index information, second frequency point, and a combination of the second PCI.

[0311] In one possible design of this embodiment, the measurement results of the second cell include cell-level measurement results and / or beam-level measurement results.

[0312] In one possible design of this embodiment, the measurement results of the second cell include one or more of the following measurements: second RSRP, second RSRQ, second SINR, and second RSSI.

[0313] For specific implementation details, please refer to the identification information and measurement results of the first community; they will not be repeated here.

[0314] In some implementations, the second information includes the identification information of the second cell; in other implementations, the second information includes the measurement results of the second cell; and in still other implementations, the second information includes both the identification information of the second cell and the measurement results of the second cell.

[0315] In some implementations, the first information includes first instruction information; in other implementations, the first information includes second instruction information; in still other implementations, the first information includes one or more second information; and in yet another implementation, the first information includes second instruction information and one or more second information.

[0316] 4.3 Third instruction information;

[0317] In one possible design of this embodiment, the sending module 720 is used to send third indication information, which is used to indicate whether the terminal device needs to include second indication information in the first information when sending the first information.

[0318] The third instruction information is used to indicate whether the terminal device needs to report the second instruction information at the same time as reporting the measurement results of the first cell. That is, the third instruction information can control the information content contained in the first information.

[0319] For example, if the value of the third indication information is the first value (e.g., the value is "1"), then the terminal device is instructed to report the second indication information at the same time as reporting the measurement results of the first cell (i.e., the first information contains the second indication information).

[0320] If the value of the third indication information is the second value (e.g., the value is "0"), then the terminal device does not need to report the second indication information when reporting the measurement results of the first cell (i.e., the first information does not contain the second indication information).

[0321] Alternatively, the first value can be 0, which indicates that the terminal device needs to report the second indication information when reporting the measurement results of the first cell; the second value can be 1, which indicates that the terminal device does not need to report the second indication information when reporting the measurement results of the first cell. This embodiment does not limit this.

[0322] 4.4 Fourth instruction information;

[0323] In one possible design of this embodiment, the sending module 720 is used to send fourth indication information, which is used to indicate whether the terminal device needs to include one or more second information in the first information when sending the first information.

[0324] The fourth indication information is used to indicate whether the terminal device needs to report one or more second information while reporting the measurement results of the first cell. In other words, the fourth indication information can control the information content contained in the first information.

[0325] For example, if the value of the fourth indication information is the third value (e.g., the third value is "1"), then the terminal device is instructed to report one or more second information while reporting the measurement results of the first cell (i.e., the first information contains one or more second information).

[0326] If the fourth indication information is a fourth value (e.g., the fourth value is "0"), then the terminal device does not need to report one or more second information when reporting the measurement results of the first cell (i.e., the first information does not contain one or more second information).

[0327] Alternatively, the third value can be 0, which indicates that the terminal device needs to report one or more second information while reporting the measurement results of the first cell; the fourth value can be 1, which indicates that the terminal device does not need to report one or more second information when reporting the measurement results of the first cell. This embodiment does not limit this.

[0328] This embodiment uses one receiving module 710 and one transmitting module 720 as an example for illustration, and the number of receiving modules 710 and transmitting modules 720 is not limited.

[0329] For a description of the function of the receiving module 710, please refer to step 510 in the embodiment shown in Figure 5. For a description of the function of the sending module 720, please refer to step 510 in the embodiment shown in Figure 5.

[0330] Figure 8 shows a schematic diagram of the structure of a terminal device provided in an exemplary embodiment of this application. The terminal device 800 can be used to execute the method steps performed by the terminal device in the above embodiments. The terminal device 800 may include: a processor 801, a transceiver 802, and a memory 803. The processor 801 can be used to control transmission and / or reception. The transceiver 802 can be used to implement transmission and / or reception functions, such as implementing the functions of at least one of the transmission module 610 and the reception module 620 described above.

[0331] The processor 801 includes one or more processing cores. The processor 801 executes various functional applications and information processing by running software programs and modules.

[0332] The transceiver 802 may include a receiver and a transmitter. For example, the receiver and transmitter may be implemented as the same wireless communication component, which may include a wireless communication chip and a radio frequency antenna.

[0333] Transceiver 802 is used to transmit first information, which includes the identification information of the first cell and the measurement results of the first cell; wherein, the measurement results of the first cell are obtained through a prediction process, and the prediction process is related to the frequency domain prediction function of the measurement results.

[0334] The memory 803 can be connected to the processor 801 and the transceiver 802.

[0335] The memory 803 can be used to store a computer program executed by the processor, and the processor 801 is used to execute the computer program to implement the various steps in the above method embodiments.

[0336] Furthermore, memory 803 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, including but not limited to: magnetic disks or optical disks, electrically erasable programmable read-only memory, erasable programmable read-only memory, static on-demand memory, read-only memory, magnetic memory, flash memory, and programmable read-only memory.

[0337] For details not described in this embodiment, please refer to the method-side embodiment above, which will not be repeated here.

[0338] Figure 9 shows a schematic diagram of the structure of a network device provided in an exemplary embodiment of this application. The network device 900 can be used to execute the method steps performed by the network device in the above embodiments. The network device 900 may include a processor 901, a transceiver 902, and a memory 903. The processor 901 can be used to control transmission and / or reception. The transceiver 902 can be used to implement transmission and / or reception functions, such as implementing the functions of at least one of the receiving module 710 and the transmitting module 720 described above.

[0339] The processor 901 includes one or more processing cores. The processor 901 executes various functional applications and information processing by running software programs and modules.

[0340] Transceiver 902 may include a receiver and a transmitter. For example, transceiver 902 may include a wired communication component, which may include a wired communication chip and a wired interface (such as a fiber optic interface). Optionally, transceiver 902 may also include a wireless communication component, which may include a wireless communication chip and a radio frequency antenna.

[0341] Transceiver 902 is used to receive first information, which includes the identification information of the first cell and the measurement results of the first cell; wherein, the measurement results of the first cell are obtained through a prediction process, and the prediction process is related to the frequency domain prediction function of the measurement results.

[0342] The memory 903 can be connected to the processor 901 and the transceiver 902.

[0343] The memory 903 can be used to store a computer program executed by the processor, and the processor 901 is used to execute the computer program to implement the various steps in the above method embodiments.

[0344] Furthermore, the memory 903 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, including but not limited to: magnetic disks or optical disks, electrically erasable programmable read-only memory, erasable programmable read-only memory, static on-demand memory, read-only memory, magnetic memory, flash memory, and programmable read-only memory.

[0345] For details not described in this embodiment, please refer to the method-side embodiment above, which will not be repeated here.

[0346] This application also provides a computer-readable storage medium storing a computer program for execution by a processor to implement the aforementioned information transmission method on the network device side or the aforementioned information transmission method on the terminal device side. In some embodiments, the computer-readable storage medium may include ROM (Read-Only Memory), RAM (Random-Access Memory), SSD (Solid State Drives), or optical disc, etc. The random access memory may include ReRAM (Resistance Random Access Memory) and DRAM (Dynamic Random Access Memory).

[0347] This application also provides a first chip, which includes programmable logic circuits and / or program instructions. When the first chip is running on a terminal device, it is used to implement the above-mentioned information transmission method on the terminal device side.

[0348] This application also provides a second chip, which includes programmable logic circuits and / or program instructions. When the second chip is running on a network device, it is used to implement the above-described information transmission method on the network device side.

[0349] This application embodiment also provides a first chip, which includes programmable logic circuits and / or program instructions. When the first chip is running on a terminal device, it is used to "send first information, the first information including the identification information of a first cell and the measurement results of the first cell; wherein, the measurement results of the first cell are obtained through a prediction process, and the prediction process is related to the frequency domain prediction function of the measurement results".

[0350] This application embodiment also provides a second chip, which includes programmable logic circuits and / or program instructions. When the second chip is running on a network device, it is used to "receive first information, the first information including the identification information of a first cell and the measurement results of the first cell; wherein the measurement results of the first cell are obtained through a prediction process, and the prediction process is related to the frequency domain prediction function of the measurement results".

[0351] This application also provides a computer program product, which includes a computer program stored in a computer-readable storage medium. The processor reads and executes the computer program from the computer-readable storage medium to implement the above-described information transmission method on the terminal device side or the information transmission method on the network device side.

[0352] It should be understood that the term "instruction" mentioned in the embodiments of this application can be a direct instruction, an indirect instruction, or an indication of a relationship. For example, A instructing B can mean that A directly instructs B, such as B being able to obtain information through A; it can also mean that A indirectly instructs B, such as A instructing C, so B can obtain information through C; or it can mean that there is a relationship between A and B.

[0353] In the description of the embodiments of this application, the term "correspondence" may indicate that there is a direct or indirect correspondence between two things, or that there is an association between two things, or that there is a relationship of instruction and being instructed, configuration and being configured, etc.

[0354] In some embodiments of this application, "predefined" can be achieved by pre-storing corresponding codes, tables, or other means that can be used to indicate relevant information in the device (e.g., including terminal devices and network devices). This application does not limit the specific implementation method. For example, predefined can refer to what is defined in the protocol.

[0355] In some embodiments of this application, "protocol" may refer to standard protocols in the field of communications, such as LTE protocol, NR protocol and related protocols applied to future communication systems, and this application does not limit it.

[0356] In this article, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0357] In this article, "greater than or equal to" can mean greater than or equal to, and "less than or equal to" can mean less than or equal to.

[0358] Furthermore, the step numbers described herein are merely illustrative of one possible execution order between steps. In some other embodiments, the steps may not be executed in the order of their numbers, such as two steps with different numbers being executed simultaneously, or two steps with different numbers being executed in the reverse order of the illustration. This application does not limit this.

[0359] Those skilled in the art will recognize that the functions described in the embodiments of this application in one or more of the above examples can be implemented using hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any medium that facilitates the transfer of a computer program from one place to another. Storage media can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0360] The above are merely exemplary embodiments of this application and are not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application shall be included within the protection scope of this application.

Claims

1. An information transmission method, characterized in that, The method is executed by a terminal device, and the method includes: Send first information, which includes the identification information of the first cell and the measurement results of the first cell; The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

2. The method according to claim 1, characterized in that, The measurement results of the first cell include cell-level measurement results and / or beam-level measurement results. The frequency domain prediction function of the measurement results includes one or more of the following functions: frequency domain prediction function of cell measurement results and frequency domain prediction function of beam measurement results. The cell measurement result frequency domain prediction function is used to predict the cell-level measurement result, and the beam measurement result frequency domain prediction function is used to predict the beam-level measurement result.

3. The method according to claim 2, characterized in that, The frequency domain prediction function for cell measurement results includes one or more of the following functions: a first frequency domain prediction function for cell measurement results, and a second frequency domain prediction function for cell measurement results; The first type of cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 2 based on the cell-level measurement result corresponding to cell 1. The cell-level measurement result corresponding to cell 1 is the cell measurement result corresponding to the cell deployed on the measured frequency point, and the cell-level measurement result corresponding to cell 1 has been filtered by layer 3. The cell-level measurement result corresponding to cell 2 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted. The second type of cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 4 based on the cell-level measurement result corresponding to cell 3. The cell-level measurement result corresponding to cell 3 is the cell measurement result corresponding to the cell deployed on the measured frequency point. The cell-level measurement result corresponding to cell 3 has been filtered by layer 1 but not by layer 3. The cell-level measurement result corresponding to cell 4 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted.

4. The method according to claim 2, characterized in that, The frequency domain prediction function of the beam measurement result includes one or more of the following functions: a first frequency domain prediction function of the beam measurement result, and a second frequency domain prediction function of the beam measurement result; The first type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 2 based on the beam measurement result corresponding to beam 1. The beam measurement result corresponding to beam 1 is the beam measurement result corresponding to the beam deployed at the measured frequency point, and the beam measurement result corresponding to beam 1 has been filtered by layer 3. The beam measurement result corresponding to beam 2 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted. The second type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 4 based on the beam measurement result corresponding to beam 3. The beam measurement result corresponding to beam 3 is the beam measurement result corresponding to the beam deployed at the measured frequency point. The beam measurement result corresponding to beam 3 has been filtered by layer 1 but not by layer 3. The beam measurement result corresponding to beam 4 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

5. The method according to any one of claims 1 to 4, characterized in that, The first information also includes one or more of the following: The first indication information is used to indicate that the measurement result of the first cell is the measurement result obtained by the terminal device through the actual measurement process or the measurement result obtained by the terminal device through the prediction process; The second indication information is used to indicate the confidence level or accuracy of the measurement results of the first cell; One or more second pieces of information, the second information including the identification information of the second cell and / or the measurement results of the second cell; The measurement results of the second cell are used to assist the terminal device in predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies.

6. The method according to claim 5, characterized in that, The method further includes: The third indication information is received, which is used to indicate whether the terminal device needs to include the second indication information in the first information when sending the first information.

7. The method according to claim 5, characterized in that, The method further includes: The terminal device receives a fourth indication message, which is used to indicate whether the terminal device needs to include the one or more second messages in the first message when sending the first message.

8. The method according to any one of claims 1 to 7, characterized in that, The identification information of the first cell includes one or more of the following: first physical cell identifier (PCI) information, first cell global identifier (CGI) information, first serving cell index information, first frequency point, and a combination of the first PCI.

9. The method according to any one of claims 1 to 8, characterized in that, The measurement results of the first cell include one or more of the following measurements: first reference signal received power (RSRP), first reference signal received quality (RSRQ), first signal-to-noise ratio (SINR), and first received signal strength indication (RSSI).

10. The method according to any one of claims 5 to 7, characterized in that, The identification information of the second cell includes one or more of the following: second PCI information, second CGI information, second serving cell index information, second frequency point, and a combination of the second PCI.

11. The method according to any one of claims 5 to 7, characterized in that, The measurement results of the second cell include cell-level measurement results and / or beam-level measurement results.

12. The method according to any one of claims 5 to 7, characterized in that, The measurement results of the second cell include one or more of the following measurements: second RSRP, second RSRQ, second SINR, and second RSSI.

13. An information transmission method, characterized in that, The method is performed by a network device, and the method includes: Receive first information, the first information including the identification information of the first cell and the measurement results of the first cell; The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

14. The method according to claim 13, characterized in that, The measurement results of the first cell include cell-level measurement results and / or beam-level measurement results. The frequency domain prediction function of the measurement results includes one or more of the following functions: frequency domain prediction function of cell measurement results and frequency domain prediction function of beam measurement results. The cell measurement result frequency domain prediction function is used to predict the cell-level measurement result, and the beam measurement result frequency domain prediction function is used to predict the beam-level measurement result.

15. The method according to claim 14, characterized in that, The frequency domain prediction function for cell measurement results includes one or more of the following functions: a first frequency domain prediction function for cell measurement results, and a second frequency domain prediction function for cell measurement results; The first type of cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 2 based on the cell-level measurement result corresponding to cell 1. The cell-level measurement result corresponding to cell 1 is the cell measurement result corresponding to the cell deployed on the measured frequency point, and the cell-level measurement result corresponding to cell 1 has been filtered by layer 3. The cell-level measurement result corresponding to cell 2 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted. The second type of cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 4 based on the cell-level measurement result corresponding to cell 3. The cell-level measurement result corresponding to cell 3 is the cell measurement result corresponding to the cell deployed on the measured frequency point. The cell-level measurement result corresponding to cell 3 has been filtered by layer 1 but not by layer 3. The cell-level measurement result corresponding to cell 4 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted.

16. The method according to claim 14, characterized in that, The frequency domain prediction function of the beam measurement result includes one or more of the following functions: a first frequency domain prediction function of the beam measurement result, and a second frequency domain prediction function of the beam measurement result; The first type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 2 based on the beam measurement result corresponding to beam 1. The beam measurement result corresponding to beam 1 is the beam measurement result corresponding to the beam deployed at the measured frequency point, and the beam measurement result corresponding to beam 1 has been filtered by layer 3. The beam measurement result corresponding to beam 2 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted. The second type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 4 based on the beam measurement result corresponding to beam 3. The beam measurement result corresponding to beam 3 is the beam measurement result corresponding to the beam deployed at the measured frequency point. The beam measurement result corresponding to beam 3 has been filtered by layer 1 but not by layer 3. The beam measurement result corresponding to beam 4 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

17. The method according to any one of claims 13 to 16, characterized in that, The first information also includes one or more of the following: The first indication information is used to indicate that the measurement result of the first cell is the measurement result obtained by the terminal device through the actual measurement process or the measurement result obtained by the terminal device through the prediction process; The second indication information is used to indicate the confidence level or accuracy of the measurement results of the first cell; One or more second pieces of information, the second information including the identification information of the second cell and / or the measurement results of the second cell; The measurement results of the second cell are used to assist the terminal device in predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies.

18. The method according to claim 17, characterized in that, The method further includes: Send a third indication message, which is used to indicate whether the terminal device needs to include the second indication message in the first message when sending the first message.

19. The method according to claim 17, characterized in that, The method further includes: Send a fourth indication message, which is used to indicate whether the terminal device needs to include the one or more second messages in the first message when sending the first message.

20. The method according to any one of claims 13 to 19, characterized in that, The identification information of the first cell includes one or more of the following: first physical cell identifier (PCI) information, first cell global identifier (CGI) information, first serving cell index information, first frequency point, and a combination of the first PCI.

21. The method according to any one of claims 13 to 20, characterized in that, The measurement results of the first cell include one or more of the following measurements: first reference signal received power (RSRP), first reference signal received quality (RSRQ), first signal-to-noise ratio (SINR), and first received signal strength indication (RSSI).

22. The method according to any one of claims 17 to 19, characterized in that, The identification information of the second cell includes one or more of the following: second PCI information, second CGI information, second serving cell index information, second frequency point, and a combination of the second PCI.

23. The method according to any one of claims 17 to 19, characterized in that, The measurement results of the second cell include cell-level measurement results and / or beam-level measurement results.

24. The method according to any one of claims 17 to 19, characterized in that, The measurement results of the second cell include one or more of the following measurements: second RSRP, second RSRQ, second SINR, and second RSSI.

25. A terminal device, characterized in that, The terminal device includes: The sending module is used to send first information, which includes the identification information of the first cell and the measurement results of the first cell; The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

26. The apparatus according to claim 25, characterized in that, The measurement results of the first cell include cell-level measurement results and / or beam-level measurement results. The frequency domain prediction function of the measurement results includes one or more of the following functions: frequency domain prediction function of cell measurement results and frequency domain prediction function of beam measurement results. The cell measurement result frequency domain prediction function is used to predict the cell-level measurement result, and the beam measurement result frequency domain prediction function is used to predict the beam-level measurement result.

27. The apparatus according to claim 26, characterized in that, The frequency domain prediction function for cell measurement results includes one or more of the following functions: a first frequency domain prediction function for cell measurement results, and a second frequency domain prediction function for cell measurement results; The first type of cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 2 based on the cell-level measurement result corresponding to cell 1. The cell-level measurement result corresponding to cell 1 is the cell measurement result corresponding to the cell deployed on the measured frequency point, and the cell-level measurement result corresponding to cell 1 has been filtered by layer 3. The cell-level measurement result corresponding to cell 2 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted. The second type of cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 4 based on the cell-level measurement result corresponding to cell 3. The cell-level measurement result corresponding to cell 3 is the cell measurement result corresponding to the cell deployed on the measured frequency point. The cell-level measurement result corresponding to cell 3 has been filtered by layer 1 but not by layer 3. The cell-level measurement result corresponding to cell 4 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted.

28. The apparatus according to claim 26, characterized in that, The frequency domain prediction function of the beam measurement result includes one or more of the following functions: a first frequency domain prediction function of the beam measurement result, and a second frequency domain prediction function of the beam measurement result; The first type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 2 based on the beam measurement result corresponding to beam 1. The beam measurement result corresponding to beam 1 is the beam measurement result corresponding to the beam deployed at the measured frequency point, and the beam measurement result corresponding to beam 1 has been filtered by layer 3. The beam measurement result corresponding to beam 2 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted. The second type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 4 based on the beam measurement result corresponding to beam 3. The beam measurement result corresponding to beam 3 is the beam measurement result corresponding to the beam deployed at the measured frequency point. The beam measurement result corresponding to beam 3 has been filtered by layer 1 but not by layer 3. The beam measurement result corresponding to beam 4 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

29. The apparatus according to any one of claims 25 to 28, characterized in that, The first information also includes one or more of the following: The first indication information is used to indicate that the measurement result of the first cell is the measurement result obtained by the terminal device through the actual measurement process or the measurement result obtained by the terminal device through the prediction process; The second indication information is used to indicate the confidence level or accuracy of the measurement results of the first cell; One or more second pieces of information, the second information including the identification information of the second cell and / or the measurement results of the second cell; The measurement results of the second cell are used to assist the terminal device in predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies.

30. The apparatus according to claim 29, characterized in that, The device further includes: A receiving module is configured to receive third indication information, the third indication information being used to indicate whether the terminal device needs to include the second indication information in the first information when sending the first information.

31. The apparatus according to claim 29, characterized in that, The device further includes: A receiving module is configured to receive fourth indication information, which indicates whether the terminal device needs to include one or more pieces of second information in the first information when sending the first information.

32. The apparatus according to any one of claims 25 to 31, characterized in that, The identification information of the first cell includes one or more of the following: first physical cell identifier (PCI) information, first cell global identifier (CGI) information, first serving cell index information, first frequency point, and a combination of the first PCI.

33. The apparatus according to any one of claims 25 to 32, characterized in that, The measurement results of the first cell include one or more of the following measurements: first reference signal received power (RSRP), first reference signal received quality (RSRQ), first signal-to-noise ratio (SINR), and first received signal strength indication (RSSI).

34. The apparatus according to any one of claims 29 to 31, characterized in that, The identification information of the second cell includes one or more of the following: second PCI information, second CGI information, second serving cell index information, second frequency point, and a combination of the second PCI.

35. The apparatus according to any one of claims 29 to 31, characterized in that, The measurement results of the second cell include cell-level measurement results and / or beam-level measurement results.

36. The apparatus according to any one of claims 29 to 31, characterized in that, The measurement results of the second cell include one or more of the following measurements: second RSRP, second RSRQ, second SINR, and second RSSI.

37. A network device, characterized in that, The network device includes: A receiving module is configured to receive first information, the first information including the identification information of the first cell and the measurement results of the first cell; The measurement results of the first cell are obtained through a prediction process, which is related to the frequency domain prediction function of the measurement results.

38. The apparatus according to claim 37, characterized in that, The measurement results of the first cell include cell-level measurement results and / or beam-level measurement results. The frequency domain prediction function of the measurement results includes one or more of the following functions: frequency domain prediction function of cell measurement results and frequency domain prediction function of beam measurement results. The cell measurement result frequency domain prediction function is used to predict the cell-level measurement result, and the beam measurement result frequency domain prediction function is used to predict the beam-level measurement result.

39. The apparatus according to claim 38, characterized in that, The frequency domain prediction function for cell measurement results includes one or more of the following functions: a first frequency domain prediction function for cell measurement results, and a second frequency domain prediction function for cell measurement results; The first type of cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 2 based on the cell-level measurement result corresponding to cell 1. The cell-level measurement result corresponding to cell 1 is the cell measurement result corresponding to the cell deployed on the measured frequency point, and the cell-level measurement result corresponding to cell 1 has been filtered by layer 3. The cell-level measurement result corresponding to cell 2 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted. The second type of cell measurement result frequency domain prediction function is used to predict the cell-level measurement result corresponding to cell 4 based on the cell-level measurement result corresponding to cell 3. The cell-level measurement result corresponding to cell 3 is the cell measurement result corresponding to the cell deployed on the measured frequency point. The cell-level measurement result corresponding to cell 3 has been filtered by layer 1 but not by layer 3. The cell-level measurement result corresponding to cell 4 is the cell measurement result corresponding to one or more cells deployed on the different frequency points to be predicted.

40. The apparatus according to claim 38, characterized in that, The frequency domain prediction function of the beam measurement result includes one or more of the following functions: a first frequency domain prediction function of the beam measurement result, and a second frequency domain prediction function of the beam measurement result; The first type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 2 based on the beam measurement result corresponding to beam 1. The beam measurement result corresponding to beam 1 is the beam measurement result corresponding to the beam deployed at the measured frequency point, and the beam measurement result corresponding to beam 1 has been filtered by layer 3. The beam measurement result corresponding to beam 2 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted. The second type of beam measurement result frequency domain prediction function is used to predict the beam measurement result corresponding to beam 4 based on the beam measurement result corresponding to beam 3. The beam measurement result corresponding to beam 3 is the beam measurement result corresponding to the beam deployed at the measured frequency point. The beam measurement result corresponding to beam 3 has been filtered by layer 1 but not by layer 3. The beam measurement result corresponding to beam 4 is the beam measurement result corresponding to one or more beams deployed at different frequency points to be predicted.

41. The apparatus according to any one of claims 37 to 40, characterized in that, The first information also includes one or more of the following: The first indication information is used to indicate that the measurement result of the first cell is the measurement result obtained by the terminal device through the actual measurement process or the measurement result obtained by the terminal device through the prediction process; The second indication information is used to indicate the confidence level or accuracy of the measurement results of the first cell; One or more second pieces of information, the second information including the identification information of the second cell and / or the measurement results of the second cell; The measurement results of the second cell are used to assist the terminal device in predicting the measurement results of the first cell. The second cell and the first cell are deployed on different frequencies.

42. The apparatus according to claim 41, characterized in that, The device further includes: A sending module is used to send third indication information, which is used to indicate whether the terminal device needs to include the second indication information in the first information when sending the first information.

43. The apparatus according to claim 41, characterized in that, The device further includes: The sending module is used to send fourth indication information, which is used to indicate whether the terminal device needs to include one or more second information in the first information when sending the first information.

44. The apparatus according to any one of claims 37 to 43, characterized in that, The identification information of the first cell includes one or more of the following: first physical cell identifier (PCI) information, first cell global identifier (CGI) information, first serving cell index information, first frequency point, and a combination of the first PCI.

45. The apparatus according to any one of claims 37 to 44, characterized in that, The measurement results of the first cell include one or more of the following measurements: first reference signal received power (RSRP), first reference signal received quality (RSRQ), first signal-to-noise ratio (SINR), and first received signal strength indication (RSSI).

46. ​​The apparatus according to any one of claims 41 to 43, characterized in that, The identification information of the second cell includes one or more of the following: second PCI information, second CGI information, second serving cell index information, second frequency point, and a combination of the second PCI.

47. The apparatus according to any one of claims 41 to 43, characterized in that, The measurement results of the second cell include cell-level measurement results and / or beam-level measurement results.

48. The apparatus according to any one of claims 41 to 43, characterized in that, The measurement results of the second cell include one or more of the following measurements: second RSRP, second RSRQ, second SINR, and second RSSI.

49. A terminal device, characterized in that, The terminal device includes: A processor; a transceiver connected to the processor; a memory for storing executable instructions of the processor; wherein the processor is configured to load and execute the executable instructions to cause the terminal device to implement the information transmission method as described in any one of claims 1 to 12.

50. A network device, characterized in that, The network device includes: A processor; a transceiver connected to the processor; a memory for storing executable instructions of the processor; wherein the processor is configured to load and execute the executable instructions to cause the network device to implement the information transmission method as described in any one of claims 13 to 24.

51. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one program, which is loaded and executed by a processor to implement the information transmission method as described in any one of claims 1 to 12, and / or the information transmission method as described in any one of claims 13 to 24.

52. A chip, characterized in that, The chip includes programmable logic circuits and / or program instructions. When the chip is running on a terminal device, it is used to implement the information transmission method according to any one of claims 1 to 12; when the chip is running on a network device, it is used to implement the information transmission method according to any one of claims 13 to 24.

53. A computer program product, characterized in that, The computer program product includes computer instructions stored in a computer-readable storage medium, a processor retrieving the computer instructions from the computer-readable storage medium, and the processor executing the computer instructions to implement the information transmission method as described in any one of claims 1 to 12, and / or the information transmission method as described in any one of claims 13 to 24.

Images