Inter-frequency measurement prediction method and communication device

Abstract

The present application relates to an inter-frequency measurement prediction method, comprising: on the basis of one or more identifiers to be predicted, a first communication device determines one or more cells to be predicted; and the first communication device performs inter-frequency measurement prediction on said one or more cells. In embodiments of the present application, a cell to be predicted is determined by means of an identifier to be predicted, so that a cell to which a prediction result belongs can be determined, thereby improving the accuracy of an inter-frequency measurement prediction result.

Description

Inter-frequency measurement prediction method and communication device TECHNICAL FIELD

[0001] The present application relates to the field of communication, and more particularly, to an inter-frequency measurement prediction method and a communication device. BACKGROUND

[0002] The measurement includes intra-frequency measurement and inter-frequency measurement. In the scenario of intra-frequency measurement, a cell where a terminal device currently locates and a target cell to be measured are on the same carrier frequency point. In the scenario of inter-frequency measurement, the cell where the terminal device currently locates and the target cell to be measured are not on the same carrier frequency point. In the prediction scenario of an inter-frequency cell, the measurement result of the inter-frequency cell is usually predicted based on only the measurement result of a serving cell.

[0003] SUMMARY

[0004] Embodiments of the present application provide an inter-frequency measurement prediction method and a communication device, which can improve the accuracy of an inter-frequency measurement prediction result.

[0005] An embodiment of the present application provides an inter-frequency measurement prediction method, comprising:

[0006] A first communication device determines one or more to-be-predicted cells based on one or more to-be-predicted identifiers.

[0007] The first communication device performs inter-frequency measurement prediction on the one or more to-be-predicted cells.

[0008] An embodiment of the present application provides an inter-frequency measurement prediction method, comprising:

[0009] A second communication device instructs a first communication device to determine one or more to-be-predicted cells based on one or more to-be-predicted identifiers so as to perform inter-frequency measurement prediction on the one or more to-be-predicted cells.

[0010] An embodiment of the present application provides a first communication device, comprising:

[0011] A processing unit is configured to determine one or more to-be-predicted cells based on one or more to-be-predicted identifiers, and perform inter-frequency measurement prediction on the one or more to-be-predicted cells.

[0012] An embodiment of the present application provides a second communication device, comprising:

[0013] A processing unit is configured to instruct a first communication device to determine one or more to-be-predicted cells based on one or more to-be-predicted identifiers so as to perform inter-frequency measurement prediction on the one or more to-be-predicted cells.

[0014] The embodiment of the present application provides a communication device, comprising a transceiver, a processor and a memory. The memory is used for storing a computer program, the transceiver is used for communicating with other devices, and the processor is used for calling and running the computer program stored in the memory, so that the communication device executes the above-mentioned inter-frequency measurement prediction method.

[0015] The embodiment of the present application provides a chip for implementing the above-mentioned inter-frequency measurement prediction method.

[0016] Specifically, the chip comprises a processor, which is used for calling and running a computer program from a memory, so that the device installed with the chip executes the above-mentioned inter-frequency measurement prediction method.

[0017] The embodiment of the present application provides a computer readable storage medium, which is used for storing a computer program, and when the computer program is run by a device, the device executes the above-mentioned inter-frequency measurement prediction method.

[0018] The embodiment of the present application provides a computer program product, which comprises computer program instructions, and the computer program instructions make a computer execute the above-mentioned inter-frequency measurement prediction method.

[0019] The embodiment of the present application provides a computer program, which, when running on a computer, makes the computer execute the above-mentioned inter-frequency measurement prediction method.

[0020] In the embodiment of the present application, the to-be-predicted cell is determined through the to-be-predicted identifier, the cell to which the prediction result belongs can be determined, and the accuracy of the inter-frequency measurement prediction result is improved. BRIEF DESCRIPTION OF DRAWINGS

[0021] FIG. 1 is a schematic diagram of an application scenario according to an embodiment of the present application.

[0022] FIG. 2 is a schematic flowchart of an inter-frequency measurement prediction method according to an embodiment of the present application.

[0023] FIG. 3 is a schematic flowchart of an inter-frequency measurement prediction method according to another embodiment of the present application.

[0024] FIG. 4 is a schematic flowchart of an inter-frequency measurement prediction method according to another embodiment of the present application.

[0025] FIG. 5 is a schematic flowchart of an inter-frequency measurement prediction method according to another embodiment of the present application.

[0026] FIG. 6 is a schematic flowchart of an inter-frequency measurement prediction method according to another embodiment of the present application.

[0027] FIG. 7 is a schematic flowchart of an inter-frequency measurement prediction method according to another embodiment of the present application.

[0028] Figure 8 is a schematic flow chart of a method of inter-frequency measurement prediction according to an embodiment of the application.

[0029] Figure 9 is a schematic flow chart of a method of inter-frequency measurement prediction according to another embodiment of the application.

[0030] Figure 10 is a schematic flow chart of a method of inter-frequency measurement prediction according to another embodiment of the application.

[0031] Figure 11 is a schematic flow chart of a method of inter-frequency measurement prediction according to another embodiment of the application.

[0032] Figure 12 is a schematic flow chart of a method of inter-frequency measurement prediction according to another embodiment of the application.

[0033] Figure 13 is a schematic flow chart of a method of inter-frequency measurement prediction according to another embodiment of the application.

[0034] Figure 14 is a schematic block diagram of a first communications device according to an embodiment of the application.

[0035] Figure 15 is a schematic block diagram of a first communications device according to another embodiment of the application.

[0036] Figure 16 is a schematic block diagram of a second communications device according to an embodiment of the application.

[0037] Figure 17 is a schematic block diagram of a second communications device according to another embodiment of the application.

[0038] Figure 18 is a schematic block diagram of a communications device according to an embodiment of the application.

[0039] Figure 19 is a schematic block diagram of a chip according to an embodiment of the application.

[0040] Figure 20 is a schematic block diagram of a communications system according to an embodiment of the application. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings.

[0042] The technical solutions of the embodiments of the present application can be applied to various communication systems, for example, a Long Term Evolution (LTE) system, an Advanced long term evolution (LTE-A) system, a New Radio (NR) system, an evolved system of the NR system, an LTE-based access to unlicensed spectrum (LTE-U) system, an NR-based access to unlicensed spectrum (NR-U) system, a Non-Terrestrial Networks (NTN) system, a Universal Mobile Telecommunication System (UMTS), a Wireless Local Area Networks (WLAN), a Wireless Fidelity (WiFi), a 5th-Generation (5G) system, or other communication systems.

[0043] Generally, a conventional communication system supports a limited number of connections and is easy to implement. However, with the development of communication technology, a mobile communication system will not only support conventional communication, but also support, for example, Device to Device (D2D) communication, Machine to Machine (M2M) communication, Machine Type Communication (MTC), Vehicle to Vehicle (V2V) communication, or Vehicle to everything (V2X) communication. The embodiments of the present application can also be applied to these communication systems.

[0044] In an embodiment, the communication system in the embodiments of the present application can be applied to a Carrier Aggregation (CA) scenario, can also be applied to a Dual Connectivity (DC) scenario, and can also be applied to a Standalone (SA) network deployment scenario.

[0045] In an embodiment, the communication system in the embodiments of the present application can be applied to unlicensed spectrum, where the unlicensed spectrum can also be regarded as shared spectrum; or the communication system in the embodiments of the present application can also be applied to licensed spectrum, where the licensed spectrum can also be regarded as non-shared spectrum.

[0046] Embodiments of the present application describe various embodiments in connection with network devices and terminal devices, wherein the terminal device can also be referred to as a user equipment (UE), an access terminal, a subscriber unit, a subscriber station, a mobile station, a mobile, a remote station, a remote terminal, a mobile device, a user terminal, a terminal, a wireless communication device, a user agent, or a user device, etc.

[0047] The terminal device can be a station (STA) in a WLAN, and can be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device having wireless communication function, a computing device, or other processing device connected to a wireless modem, an in-vehicle device, a wearable device, a terminal device in a next-generation communication system such as an NR network, or a terminal device in a future evolved Public Land Mobile Network (PLMN) network, etc.

[0048] In embodiments of the present application, the terminal device can be deployed on land, including indoors or outdoors, handheld, wearable, or in-vehicle; can also be deployed on water (such as a ship, etc.); and can also be deployed in the air (such as on an airplane, a balloon, and a satellite, etc.).

[0049] In embodiments of the present application, the terminal device can be a mobile phone, a tablet computer (Pad), a computer with wireless transceiver function, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self driving, a wireless terminal device in remote medical treatment, a wireless terminal device in smart grid, a wireless terminal device in transportation safety, a wireless terminal device in smart city, or a wireless terminal device in smart home, etc.

[0050] As an example but not limitation, in embodiments of the present application, the terminal device can also be a wearable device. The wearable device can also be referred to as a wearable smart device, which is a general term for devices that are designed and developed by applying wearable technology to daily wear, such as glasses, gloves, watches, clothing, and shoes. The wearable device is a portable device that can be directly worn on the body or integrated into the user's clothes or accessories. The wearable device is not only a hardware device, but also a powerful function achieved through software support and data interaction, cloud interaction. The broad sense of wearable smart devices includes devices with full functions, large sizes, and the ability to realize complete or partial functions without relying on smart phones, such as smart watches or smart glasses, and devices that focus on a certain application function and need to be used with other devices such as smart phones, such as various smart wristbands, smart jewelry, and other devices for monitoring vital signs.

[0051] In embodiments of the present application, the network device can be a device for communicating with the mobile device, and the network device can be an access point (Access Point, AP) in a WLAN, an evolved node B (Evolutional Node B, eNB or eNodeB) in LTE, or a relay station or an access point, or a vehicle-mounted device, a wearable device, and a network device in an NR network (gNB) or a future evolved PLMN network or a network device in an NTN network, etc.

[0052] As an example but not limitation, in embodiments of the present application, the network device can have mobile characteristics, for example, the network device can be a mobile device. Alternatively, the network device can be a satellite, a balloon station. For example, the satellite can be a low earth orbit (low earth orbit, LEO) satellite, a medium earth orbit (medium earth orbit, MEO) satellite, a geostationary earth orbit (geostationary earth orbit, GEO) satellite, a high elliptical orbit (High Elliptical Orbit, HEO) satellite, etc. Alternatively, the network device can also be a base station arranged at a position on land, water, etc.

[0053] In the embodiments of the present application, the network device can serve a cell, and a terminal device communicates with the network device through a transmission resource (for example, a frequency domain resource, or a spectrum resource) used by the cell. The cell can be a cell corresponding to the network device (for example, a base station), and the cell can belong to a macro base station or a base station corresponding to a small cell (Small cell). The small cell can include a metro cell, a micro cell, a pico cell, a femto cell, and the like. The small cell has the characteristics of small coverage and low transmit power, and is suitable for providing high-speed data transmission services.

[0054] FIG. 1 illustrates a communication system 100. The communication system includes one network device 110 and two terminal devices 120. In an embodiment, the communication system 100 can include multiple network devices 110, and each network device 110 can include other numbers of terminal devices 120 within its coverage, which is not limited in the embodiments of the present application.

[0055] In an embodiment, the communication system 100 can further include a mobility management entity (MME), an access and mobility management function (AMF), and other network entities, which are not limited in the embodiments of the present application.

[0056] The network device can include an access network device and a core network device. That is, the wireless communication system further includes multiple core networks for communicating with the access network device. The access network device can be an evolved node B (eNB or e-NodeB) macro base station, a micro base station (also referred to as a “small base station”), a pico base station, an access point (AP), a transmission point (TP), or a new generation Node B (gNodeB) in a long-term evolution (LTE) system, a next radio (NR) system, or an authorized auxiliary access long-term evolution (LAA-LTE) system.

[0057] It should be understood that the devices with communication function in the network / system in the embodiments of the present application can be referred to as communication devices. For example, the communication system shown in FIG. 1, the communication devices can include network devices and terminal devices with communication function, which can be specific devices in the embodiments of the present application, and will not be described here. The communication devices can also include other devices in the communication system, such as network controllers, mobile management entities and other network entities, which are not limited in the embodiments of the present application.

[0058] It should be understood that the terms "system" and "network" are often used interchangeably in this paper. The term "and / or" in this paper is only used to describe the association relationship between the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent three cases: A exists alone, A and B exist together, and B exists alone. In addition, the character " / " generally represents an "or" relationship between the associated objects before and after it.

[0059] It should be understood that the "indication" mentioned in the embodiments of the present application can be direct indication, indirect indication, or can represent an associated relationship. For example, A indicates B, which can mean that B can be obtained through A, or A indirectly indicates B, for example, A indicates C, and B can be obtained through C, or A and B have an associated relationship.

[0060] In the description of the embodiments of the present application, the term "corresponding" can represent a direct or indirect corresponding relationship between the two, or an associated relationship between the two, or an indication and being indicated, configuration and being configured, etc.

[0061] In order to facilitate the understanding of the technical solutions of the embodiments of the present application, the related technologies of the embodiments of the present application are described as follows, which can be combined with the technical solutions of the embodiments of the present application in any way as optional schemes, and all belong to the protection scope of the embodiments of the present application.

[0062] I. Inter-frequency measurement

[0063] The measurement is divided into intra-frequency measurement and inter-frequency measurement. The intra-frequency measurement refers to that the cell where the UE is currently located and the target cell to be measured are on the same carrier frequency (center frequency point). In the case of intra-frequency measurement, there is no conflict between measurement and transmission of service data. Inter-frequency measurement refers to that the cell where the UE is currently located and the target cell are not on the same carrier frequency. If the UE needs to perform inter-frequency measurement (including inter-standard measurement), a simple way is to install two radio frequency receivers in the UE device to measure the frequency points of the current cell and the target cell respectively, but this will bring the problem of cost increase and mutual interference between different frequency points. Therefore, 3GPP proposes a measurement gap (measurement gap) mode, that is, a part of time (i.e. measurement gap time) is reserved, during which the UE will not send and receive any data, and the receiver is adjusted to the target cell frequency point to perform inter-frequency measurement, and then returns to the current cell after the end of the gap time.

[0064] The configuration of the measurement gap will also introduce the following problems. Since the inter-frequency or inter-system measurement cannot receive and send data, it will affect the UE rate. If the measurement is 6 ms in a 40 ms cycle, the impact reaches about 1 / 7, and if the measurement gap time is configured for a longer time, the impact on the rate will be greater.

[0065] II. R19 AI mobility inter-frequency measurement prediction

[0066] In the R19 AI mobility project, the RRM measurement prediction scenario includes an inter-frequency prediction sub-scenario, which considers reducing the measurement gap as much as possible under the inter-frequency measurement form. In the same UE location, there is an inter-frequency cell (only one in related technologies) in addition to the current serving cell. AI / ML technology needs to be used to predict the measurement results of another inter-frequency cell in the same UE location by measuring the measurement results of the current serving cell. If the prediction accuracy is sufficient, the measurement gap can be saved, so that the saved measurement events can be used for data transmission and reception to improve user experience. Inter-frequency measurement also has higher requirements for UE energy consumption, and saving the measurement gap can also save UE energy consumption.

[0067] For example, the UE originally needs to measure the RSRP value of the serving cell 1 at 1, 3, 5, 7 slots, and measure the RSRP value of the inter-frequency cell 2 at 2, 4, 6, 8 slots. If the inter-frequency measurement prediction is used, the UE can predict the RSRP value of the inter-frequency cell 2 at 2, 4, 6, 8 slots based on the RSRP value of the serving cell 1 at 1, 3, 5, 7 slots.

[0068] In the current discussion, the input of the AI / ML model for inter-frequency measurement prediction is the RRM measurement value (such as RSRP / RSRQ) of the serving cell, and the output is the RRM measurement prediction value of the one inter-frequency cell. The discussion about the related protocol design, such as how to determine the inter-frequency cell to be predicted, has not been carried out.

[0069] In addition, there is also a cluster approach based on the input of the cell cluster, the input of the AI / ML model is the serving cell and all the neighboring cells, and the output is a plurality of inter-frequency cells co-located with the input serving cell or neighboring cell. For example, the input is the measurement value of the cells 1, 2, 3 at the frequency of the serving cell, and the output is the measurement prediction value of the inter-frequency cells a, b, c. If the related AI / ML model adopts supervised learning, the data quantity requirement of the input and output of the model is fixed. Since the number of input and output cells that can be collected by the UE in actual application may vary, for example, only the measurement values of the cells 1, 2 can be obtained, this way is difficult to implement in actual application, and will not be discussed here.

[0070] There can be multiple inter-frequency cells at the same UE location, and the current 3GPP discussion only discusses the prediction scenario of one inter-frequency cell, which is simply based on the measurement result of the serving cell to predict the measurement result of the inter-frequency cell. In the scenario where multiple inter-frequency cells exist (multiple cells at the same frequency and multiple cells at different frequencies), this method is obviously no longer applicable. It cannot be known which inter-frequency cell the output measurement result belongs to.

[0071] In the case where multiple inter-frequency cells exist, it is also necessary to know which inter-frequency cells have the value of measurement prediction, so as to reduce unnecessary measurement prediction and reduce the energy consumption of the UE. In addition, unnecessary measurement prediction of a single cell will also waste the energy of the UE, for example, the UE always measures the inter-frequency cell with weak signal, which has no value for handover and has little effect on mobility enhancement.

[0072] FIG. 2 is a schematic flowchart of an inter-frequency measurement prediction method 200 according to an embodiment of the present application. The method can be optionally applied to the system shown in FIG. 1, but is not limited thereto. The method includes at least part of the following contents.

[0073] S210, the first communication device determines one or more to-be-predicted cells based on one or more to-be-predicted identifiers;

[0074] S220, the first communication device performs inter-frequency measurement prediction on the one or more to-be-predicted cells.

[0075] In the embodiments of the present application, the first communication device can autonomously acquire one or more to-be-predicted identifiers, or can receive one or more to-be-predicted identifiers from the second communication device. The to-be-predicted identifier can be an identifier (ID) of a to-be-predicted cell, a frequency identifier, a measurement ID (measID), or a measurement target ID (measObjectID). The to-be-predicted identifier can be used to indicate a specific to-be-predicted cell. The to-be-predicted cell can include a frequency different cell around the terminal device. For example, the to-be-predicted cell is frequency different from the serving cell of the terminal device. The frequency bands / frequencies of the plurality of to-be-predicted cells can be the same or different. Each to-be-predicted identifier can correspond to one to-be-predicted frequency different cell (which can be referred to as a to-be-predicted cell).

[0076] The first communication device can determine one or more to-be-predicted cells based on one or more to-be-predicted identifiers. For example, one or more to-be-predicted identifiers are selected from a plurality of cell identifiers, and the cells corresponding to the selected to-be-predicted identifiers are to-be-predicted cells. There can be various methods for selecting to-be-predicted identifiers, such as selecting the to-be-predicted identifier of the cell with the best cell signal quality, selecting the to-be-predicted identifier of the cell closest to the first communication device, etc. After determining the to-be-predicted cell, the first communication device can perform inter-frequency measurement prediction on the to-be-predicted cell. For example, the model of the inter-frequency measurement prediction can be an AI / ML model. The input of the model can include the measurement results of the serving cell of the first communication device, such as RSRP, RSRQ, and other RRM measurement values, and can also include to-be-predicted identifiers, serving cell identifiers, etc. The output of the model can include the inter-frequency measurement prediction results of the to-be-predicted cell, such as RRM measurement prediction values.

[0077] In some examples, the first communication device can be a terminal device, such as a UE, and the second communication device can be a network device, such as a base station.

[0078] In some examples, the first communication device can be a network device, such as a base station, and the second communication device can be a terminal device, such as a UE.

[0079] In the embodiments of the present application, the to-be-predicted cell is determined through the to-be-predicted identifier, which can clearly indicate the cell to which the prediction result belongs, thereby improving the accuracy of the inter-frequency measurement prediction result. For example, in a scenario where there are multiple frequency different cells (such as multiple cells of the same different frequency or multiple cells of different frequencies), it can be clearly indicated which frequency different cell the inter-frequency measurement prediction result belongs to.

[0080] In an embodiment, the first communication device performs inter-frequency measurement prediction on the one or more to-be-predicted cells in step S220, including: the first communication device starts to perform prediction on the one or more to-be-predicted cells when an inter-frequency measurement prediction starting condition is met.

[0081] In an embodiment of the present application, in order to reduce energy consumption, after the to-be-predicted cells are determined, the first communication device can determine whether to start inter-frequency measurement prediction on the to-be-predicted cells according to an inter-frequency measurement prediction starting condition. If the inter-frequency measurement prediction starting condition is met, the first communication device performs inter-frequency measurement prediction on the to-be-predicted cells. If the inter-frequency measurement prediction starting condition is not met, the first communication device does not perform inter-frequency measurement prediction on the to-be-predicted cells. In this way, the number of unnecessary inter-frequency measurement prediction cells and the number of prediction times can be reduced, thereby reducing the energy consumption of the first communication device.

[0082] FIG. 3 is a schematic flowchart of an inter-frequency measurement prediction method 300 according to another embodiment of the present application. The method can include one or more features of the above-described method. In an embodiment, the method further includes: S310, the first communication device receives first information, the first information being used to configure the first communication device to obtain a to-be-predicted identity. The step can be performed before S210. In an embodiment of the present application, the first communication device, for example, a terminal device, can receive first information from a second communication device, for example, a network device. The first information can be used to configure the first communication device to obtain an identity of a surrounding inter-frequency cell, i.e., a to-be-predicted identity.

[0083] In an embodiment, the to-be-predicted identity can be obtained in one or more of the following ways:

[0084] determining the to-be-predicted identity based on inter-frequency measurement configuration of the second communication device;

[0085] determining the to-be-predicted identity based on a cell discovered by inter-frequency measurement of the first communication device;

[0086] determining the to-be-predicted identity based on a first location association indication, the first location association indication being used to indicate a to-be-predicted identity that can exist at a location where the first communication device is located.

[0087] In an embodiment of the present application, the first communication device, for example, a terminal device, can determine one or more to-be-predicted identities based on inter-frequency measurement configuration issued by a second communication device, for example, a network device, and based on implementation of the first communication device itself. The one or more to-be-predicted identities can be a subset of the inter-frequency measurement configuration, or can correspond to the inter-frequency measurement configuration completely.

[0088] In the embodiments of the present application, the first communication device, for example, the terminal device, can detect a plurality of inter-frequency cells after inter-frequency measurement, and determine the to-be-predicted identities by using the plurality of inter-frequency cells. The first communication device has found some inter-frequency cells, which means that the inter-frequency cells have good signal coverage at the current location of the first communication device, and it is more valuable to make prediction. In addition, the scale of the inter-frequency cells detected by the terminal device through inter-frequency measurement is less than or equal to the number of inter-frequency cells configured by the network for inter-frequency measurement, which can reduce the to-be-predicted range and unnecessary prediction energy consumption.

[0089] In the embodiments of the present application, the second communication device, for example, the network device, can indicate the to-be-predicted identities of the first communication device, for example, the terminal device, based on the location of the first communication device, through the first location association indication. The location of the first communication device can be determined based on the positioning technology of the second communication device, or be reported by the first communication device to the second communication device. Through the second communication device, for example, the network device, based on the location of the first communication device, for example, the terminal device, and combined with the known deployment of the second communication device, it can be determined which inter-frequency cells exist near the current location of the first communication device. Through the first location association indication, the first communication device can be explicitly informed, which can reduce the to-be-predicted range and unnecessary prediction energy consumption.

[0090] Different acquisition methods can be combined, for example, through the first location association indication, the identity of one or more cells detected by the first communication device through inter-frequency measurement is indicated.

[0091] FIG. 4 is a schematic flowchart of an inter-frequency measurement prediction method 400 according to another embodiment of the present application. The method can include one or more features of the above method. In an implementation, the method further includes: S410, the first communication device receives second information, and the second information is used to configure an inter-frequency measurement prediction start condition of the first communication device. The step can be performed before S210 or S310.

[0092] In the embodiments of the present application, the first communication device, for example, the terminal device, can receive the second information from the second communication device, for example, the network device. After receiving the second information, the first communication device can determine whether to start the inter-frequency measurement prediction of the first communication device according to the inter-frequency measurement prediction start condition configured by the second information.

[0093] In an implementation, the inter-frequency measurement prediction start condition includes one or more of the following:

[0094] The to-be-predicted identities have been obtained;

[0095] The signal quality of the serving cell is less than a first threshold value;

[0096] The second location indication indicates that the inter-frequency measurement prediction needs to be started at the location of the first communication device;

[0097] The moving speed of the first communication device is less than a second threshold value.

[0098] In the embodiments of the present application, the first communication device, for example, the terminal device, can start the measurement prediction of the measurement target / cell (the to-be-predicted cell) indicated by the to-be-predicted identifier after obtaining the to-be-predicted identifier. Starting the prediction as early as possible can reduce the number of inter-frequency measurements and master the inter-frequency cell signal quality as early as possible.

[0099] In the embodiments of the present application, the first communication device, for example, the terminal device, can judge whether the signal quality of the serving cell is less than the first threshold value after obtaining the to-be-predicted identifier. If yes, the inter-frequency measurement prediction of the to-be-predicted cell is started. This case is suitable for the prediction of the inter-frequency cell for enhancing coverage when the first communication device is at the edge of the serving cell.

[0100] In the embodiments of the present application, the first communication device, for example, the terminal device, can judge whether the second location indication indicates that the location of the first communication device needs to start the inter-frequency measurement prediction after obtaining the to-be-predicted identifier. If yes, the inter-frequency measurement prediction of the to-be-predicted cell is started. This case is suitable for the prediction of the inter-frequency cell for enhancing coverage when the first communication device is at the edge of the serving cell.

[0101] In the embodiments of the present application, the first communication device, for example, the terminal device, can judge whether the moving speed of the first communication device is less than the second threshold value after obtaining the to-be-predicted identifier. If yes, the inter-frequency measurement prediction of the to-be-predicted cell is started. This case is suitable for the prediction of the inter-frequency cell for enhancing coverage when the first communication device is at the edge of the serving cell.

[0102] In the embodiments of the present application, the first communication device, for example, the terminal device, can judge whether the second location indication indicates that the location of the first communication device needs to start the inter-frequency measurement prediction and whether the moving speed of the first communication device is less than the second threshold value after obtaining the to-be-predicted identifier. If both are yes, the inter-frequency measurement prediction of the to-be-predicted cell is started. This case is suitable for the prediction of the inter-frequency cell for enhancing coverage when the first communication device is at the edge of the serving cell.

[0103] FIG. 5 is a schematic flowchart of an inter-frequency measurement prediction method 500 according to another embodiment of the present application. The method can include one or more features of the above-described method. In an implementation, the method further includes: S510, the first communication device receives third information, the third information being used for managing the prediction in the case where there are multiple to-be-predicted cells. The step can be before S210, S310 or S410.

[0104] In the embodiments of the present application, the first communication device, for example, a terminal device, can receive third information from the second communication device, for example, a network device. After receiving the third information, the first communication device can manage the inter-frequency measurement prediction of the plurality of to-be-predicted cells.

[0105] In an implementation, the manner of managing the prediction in the case where there are a plurality of to-be-predicted cells includes one or more of the following:

[0106] In the case where the number of to-be-predicted cell identifiers is greater than the first model input, the prediction priority order of the to-be-predicted cells is indicated.

[0107] The prediction time information of the to-be-predicted cells is indicated, and the prediction time information includes one or more of the following: prediction start time, prediction period, and prediction end time.

[0108] In the case where the inter-frequency measurement result of one to-be-predicted cell is greater than a third threshold value, the first communication device is instructed to stop the prediction of the remaining to-be-predicted cells.

[0109] In the case where the inter-frequency measurement result of one to-be-predicted cell is less than a fourth threshold value, the first communication device is instructed to stop the prediction of the to-be-predicted cell.

[0110] In the embodiments of the present application, the inter-frequency measurement prediction of the to-be-predicted cells can be performed using an AI / ML model. The input information of the AI / ML model can include the serving cell identifier, the to-be-predicted cell identifier (an example of the to-be-predicted identifier), and the serving cell measurement result. The output information of the AI / ML model can include the measurement prediction result of the cell corresponding to the to-be-predicted identifier.

[0111] If the number of to-be-predicted cell identifiers is greater than the AI / ML model input, the AI / ML model can infer the measurement prediction result of each to-be-predicted cell in turn.

[0112] For example, in the process of inferring in turn, the inter-frequency measurement prediction can be performed in the order of priority from high to low. The inter-frequency measurement prediction is first performed on the cell corresponding to the to-be-predicted cell identifier with the highest priority, and then on the cell corresponding to the to-be-predicted cell identifier with the second highest priority, and so on.

[0113] For another example, in the process of inferring in turn, when the inter-frequency measurement result of a to-be-predicted cell is greater than a third threshold value, the prediction of the remaining to-be-predicted cells can be stopped. This is because the main purpose of inter-frequency measurement is to determine whether there is a better inter-frequency cell that can be accessed. If a suitable accessible inter-frequency cell has been found, the measurement or measurement prediction of other cells can be stopped to reduce energy waste.

[0114] For example, in the turn-by-turn reasoning process, when the inter-frequency measurement result of a to-be-predicted cell is less than a fourth threshold value, the inter-frequency measurement prediction for the cell can be omitted. If it is found that the cell is not suitable for access, the measurement or measurement prediction for the cell can be omitted, thereby reducing energy waste.

[0115] In an embodiment, the priority order is divided according to one or more of the following: according to frequency, according to a cell identifier set, and according to a cell identifier.

[0116] For example, the higher the frequency of the inter-frequency cell, the higher the priority. For example, the priority of a cell identifier set A is higher than that of a cell identifier set B. For example, the priority of a cell identifier Cl is higher than that of a cell identifier C2.

[0117] In the embodiments of the present application, the first information, the second information, and the third information can be carried in one signaling, can be partially carried in one signaling, for example, the first information and the second information are carried in one signaling, and the third information is carried in another signaling, or can be independently carried in one signaling.

[0118] FIG. 6 is a schematic flowchart of an inter-frequency measurement prediction method 600 according to another embodiment of the present application. The method can include one or more features of the above-described method. In an embodiment, the method further includes: S610, the first communication device receives fourth information, the fourth information being used to obtain a to-be-predicted identifier. The step can be performed before S210.

[0119] In the embodiments of the present application, if the first communication device is a network device and the second communication device is a terminal device, the network device can perform inter-frequency measurement prediction on the to-be-predicted cell. The network device can obtain one or more to-be-predicted identifiers, determine one or more to-be-predicted cells based on the one or more to-be-predicted identifiers, and then perform inter-frequency measurement prediction on the one or more to-be-predicted cells. The network device can receive fourth information from the terminal device, and then obtain the to-be-predicted identifier according to the fourth information.

[0120] In an embodiment, the fourth information includes one or more of the following: a to-be-predicted identifier found by the inter-frequency measurement of the second communication device; a first location indication, the first location indication being used to indicate the location of the second communication device.

[0121] In the embodiments of the present application, the fourth information sent by the second terminal device, for example, a terminal device, to the first communication device, for example, a network device, can include one or more to-be-predicted identifiers found by the inter-frequency measurement of the terminal device, and can also include a first location indication. The location of the terminal device can be determined based on the first location indication.

[0122] In an embodiment, the to-be-predicted identifier is obtained in one or more of the following ways:

[0123] determining the to-be-predicted identities based on the first inter-frequency measurement configuration of the first communication device;

[0124] determining the to-be-predicted identities based on the inter-frequency measurement of the second communication device;

[0125] determining the to-be-predicted identities based on the first location indication indicating the location of the second communication device.

[0126] In the embodiments of the present application, the first communication device, for example, a network device, can determine one or more to-be-predicted identities based on its own inter-frequency measurement configuration. The one or more to-be-predicted identities can be a subset of the inter-frequency measurement configuration, or can correspond to the inter-frequency measurement configuration completely.

[0127] In the embodiments of the present application, after the second communication device, for example, a terminal device, detects one or more inter-frequency cells through inter-frequency measurement, the first communication device, for example, a network device, can receive the report of the second communication device reporting the detection of the one or more inter-frequency cells. Then the first communication device determines one or more to-be-predicted identities based on the one or more inter-frequency cells.

[0128] In the embodiments of the present application, the first communication device, for example, a network device, can indicate the location of the second communication device, for example, a terminal device, through a first location indication. The first location indication can be reported by the terminal device to the network device, or can be realized by the network device based on network-side positioning and the like. Based on the location of the second communication device, for example, a terminal device, and the first communication device, for example, deployment, the first communication device, for example, a network device, can determine which inter-frequency cells exist near the current location of the second communication device.

[0129] FIG. 7 is a schematic flowchart of an inter-frequency measurement prediction method 700 according to another embodiment of the present application. The method can include one or more features of the above-described method. In an implementation, the method further includes: S710, the first communication device receives fifth information, the fifth information being used to assist the first communication device to determine whether the inter-frequency measurement prediction start condition is met. The step can be performed before S210 or S610. The first communication device, for example, a network device, can receive the fifth information from the second communication device, for example, a terminal device, and then determine whether the inter-frequency measurement prediction start condition is met according to the fifth information. If yes, the inter-frequency measurement prediction of the to-be-predicted cell is started. Otherwise, the inter-frequency measurement prediction of the to-be-predicted cell can not be performed. In this way, the number of unnecessary inter-frequency measurement prediction cells and the number of prediction times can be reduced, thereby reducing the energy consumption of the first communication device.

[0130] In an implementation, the fifth information includes one or more of the following:

[0131] a signal quality of the serving cell is less than a first threshold value;

[0132] a third location indication;

[0133] a moving speed of the second communication device;

[0134] the moving speed of the second communication device is less than a second threshold value.

[0135] In an embodiment, the inter-frequency measurement prediction start condition comprises one or more of the following:

[0136] obtaining a to-be-predicted identity;

[0137] a signal quality of the serving cell is less than a first threshold value;

[0138] the third location indication indicates that the second communication device, for example, UE, is located within a range of inter-frequency cells;

[0139] the moving speed of the second communication device is less than a second threshold value.

[0140] In the embodiments of the present application, after the first communication device, for example, network device, obtains the to-be-predicted identity, it can determine whether the signal quality of the serving cell is less than the first threshold value. If yes, it starts the inter-frequency measurement prediction of the to-be-predicted cell.

[0141] In the embodiments of the present application, after the first communication device obtains the to-be-predicted identity, if the fifth information received includes that the signal quality of the serving cell is less than the first threshold value, it can determine that the inter-frequency measurement prediction of the to-be-predicted cell needs to be started.

[0142] In the embodiments of the present application, after the first communication device obtains the to-be-predicted identity, if the fifth information received includes the third location indication, it can determine whether the second communication device is located within the range of inter-frequency cells. If yes, it can determine that the inter-frequency measurement prediction of the to-be-predicted cell needs to be started.

[0143] In the embodiments of the present application, after the first communication device obtains the to-be-predicted identity, if the fifth information received includes the moving speed of the second communication device, it can determine whether the moving speed is less than the second threshold value. If yes, it can determine that the inter-frequency measurement prediction of the to-be-predicted cell needs to be started.

[0144] In the embodiments of the present application, after the first communication device obtains the to-be-predicted identity, if the fifth information received includes that the moving speed of the second communication device is less than the second threshold value, it can determine that the inter-frequency measurement prediction of the to-be-predicted cell needs to be started.

[0145] FIG. 8 is a schematic flowchart of a method 800 of inter-frequency measurement prediction according to an embodiment of the present application. The method can optionally be applied to the system shown in FIG. 1, but is not limited thereto. The method comprises at least part of the following.

[0146] S810, the second communication device instructs the first communication device to determine one or more to-be-predicted cells based on one or more to-be-predicted identities for inter-frequency measurement prediction on the one or more to-be-predicted cells.

[0147] In some examples, the first communication device can be a terminal device, such as a UE, and the second communication device can be a network device, such as a base station. The network device can instruct the terminal device to determine one or more to-be-predicted cells based on one or more to-be-predicted identities and perform inter-frequency measurement prediction on the one or more to-be-predicted cells.

[0148] In some examples, the first communication device can be a network device, such as a base station, and the second communication device can be a terminal device, such as a UE. The terminal device can instruct the network device to determine one or more to-be-predicted cells based on one or more to-be-predicted identities and perform inter-frequency measurement prediction on the one or more to-be-predicted cells.

[0149] In an implementation, the inter-frequency measurement prediction of the to-be-predicted cell is started when an inter-frequency measurement prediction start condition is reached.

[0150] FIG. 9 is a schematic flowchart of a method 900 of inter-frequency measurement prediction according to another embodiment of the present application. The method can comprise one or more features of the method described above. In an implementation, the method further comprises:

[0151] S910, the second communication device sends first information for configuring the first communication device to obtain a to-be-predicted identity. The step can be performed before S810. In an embodiment of the present application, the first communication device can send the first information to the second communication device.

[0152] In an implementation, the obtaining manner of the to-be-predicted identity comprises one or more of the following:

[0153] determining the to-be-predicted identity based on an inter-frequency measurement configuration of the second communication device;

[0154] determining the to-be-predicted identity based on a cell discovered by the first communication device for inter-frequency measurement;

[0155] determining the to-be-predicted identity based on a first location association indication for indicating a to-be-predicted identity possibly existing at a location of the first communication device.

[0156] FIG. 10 is a schematic flow chart of an inter-frequency measurement prediction method 1000 according to another embodiment of the present application. The method can include one or more features of the above-described methods. In an implementation, the method further includes:

[0157] S1010, the second communication device sends second information, the second information being used for configuring an inter-frequency measurement prediction start condition of the first communication device. The step can be before S810 or S910. In the embodiments of the present application, the first communication device can send the second information to the second communication device.

[0158] In an implementation, the inter-frequency measurement prediction start condition includes one or more of the following:

[0159] The to-be-predicted identity has been obtained;

[0160] The signal quality of the serving cell is less than a first threshold value;

[0161] The second location indication indicates that the location where the first communication device is located needs to start the inter-frequency measurement prediction;

[0162] The moving speed of the first communication device is less than a second threshold value.

[0163] FIG. 11 is a schematic flow chart of an inter-frequency measurement prediction method 1100 according to another embodiment of the present application. The method can include one or more features of the above-described methods. In an implementation, the method further includes:

[0164] S1110, the second communication device sends third information, the third information being used for managing the prediction in the case where there are multiple to-be-predicted cells. The step can be before S810, S910, or S1010. In the embodiments of the present application, the first communication device can send the third information to the second communication device.

[0165] In an implementation, the way of managing the prediction in the case where there are multiple to-be-predicted cells includes one or more of the following:

[0166] In the case where the number of to-be-predicted cell identities is greater than a first model input, a prediction priority order of the to-be-predicted cells is indicated;

[0167] Prediction time information of the to-be-predicted cells is indicated, the prediction time information including one or more of a prediction start time, a prediction period, and a prediction end time.

[0168] In the case where the inter-frequency measurement result of one to-be-predicted cell is greater than a third threshold value, the first communication device is instructed to stop the prediction of the remaining to-be-predicted cells.

[0169] In a case where the inter-frequency measurement result of the to-be-predicted cell is less than a fourth threshold value, the first communication device is instructed to stop performing prediction on the to-be-predicted cell.

[0170] In an embodiment, the priority order is divided according to one or more of the following: division according to frequency, division according to a set of cell identities, division according to cell identity.

[0171] FIG. 12 is a schematic flowchart of an inter-frequency measurement prediction method 1200 according to another embodiment of the present application. The method can include one or more features of the above-described methods. In an embodiment, the method further includes:

[0172] S1210, the second communication device sends fourth information, the fourth information being used to obtain a to-be-predicted identity. This step can be performed before S810. In an embodiment of the present application, the first communication device can send the fourth information to the second communication device.

[0173] In an embodiment, the fourth information includes one or more of the following: a to-be-predicted identity discovered by the inter-frequency measurement of the second communication device; a first location indication, the first location indication being used to indicate the location of the second communication device.

[0174] In an embodiment, the obtaining of the to-be-predicted identity includes one or more of the following:

[0175] determining the to-be-predicted identity based on the inter-frequency measurement configuration of the first communication device;

[0176] determining the to-be-predicted identity based on a cell discovered by the inter-frequency measurement reported by the second communication device;

[0177] determining the to-be-predicted identity based on the first location indication.

[0178] FIG. 13 is a schematic flowchart of an inter-frequency measurement prediction method 1300 according to another embodiment of the present application. The method can include one or more features of the above-described methods. In an embodiment, the method further includes: S1310, the second communication device sends fifth information, the fifth information being used to assist the first communication device in judging whether a condition for starting inter-frequency measurement prediction is met. This step can be performed before S810 or S1210. In an embodiment of the present application, the first communication device can send the fifth information to the second communication device.

[0179] In an embodiment, the fifth information includes one or more of the following:

[0180] a signal quality of a serving cell being less than a first threshold value;

[0181] a third location indication;

[0182] a moving speed of the second communication device;

[0183] The moving speed of the second communication device is less than a second threshold value.

[0184] In an embodiment, the inter-frequency measurement prediction start condition comprises one or more of the following:

[0185] An identity to be predicted is obtained;

[0186] The signal quality of the serving cell is less than a first threshold value;

[0187] The third position indication shows that the position of the second communication device is within the range of the inter-frequency cell;

[0188] The moving speed of the second communication device is less than a second threshold value.

[0189] The specific explanations and examples of the method 800 to 1300 executed by the second communication device of the embodiment can be referred to the relevant descriptions of the second communication device in the methods 200 to 700 described above. For brevity, they will not be repeated here.

[0190] In an application scenario, there are three high-priority use cases for AI / ML-based RRM measurement prediction, one of which is inter-frequency measurement prediction. The current inter-frequency measurement prediction discussion is still in the initial stage, and usually only considers the prediction of one inter-frequency cell. The embodiment of the present application gives an inter-frequency measurement prediction method suitable for multiple inter-frequency cell prediction scenarios, and the embodiment of the present application gives a specific prediction cell determination method, inter-frequency measurement prediction start condition, and input and output management design of the prediction model, forming a complete set of operational processes.

[0191] Example 1: AI / ML model is located at UE side

[0192] 1. Overall flow

[0193] An inter-frequency measurement prediction method can comprise:

[0194] A user equipment (UE) obtains an identity to be predicted, which explicitly indicates the cell to be predicted (predicted cell); when the inter-frequency prediction start condition is reached, the prediction for the predicted cell is started.

[0195] The identity to be predicted can be a predicted cell ID, a frequency identity, a measurement ID (measID), and a measurement target ID (measObjectID). The identity to be predicted can be used to indicate a specific predicted cell.

[0196] The number of identities to be predicted can be one or more.

[0197] The predicted cell is inter-frequency with the serving cell. The frequency bands / frequencies of multiple predicted cells can be the same or different.

[0198] The prediction is an inter-frequency prediction for RRM measurement.

[0199] In the protocol, one or more of the following can be added or modified:

[0200] The UE receives first information sent by the network side, which is used to configure the UE to obtain a to-be-predicted identity;

[0201] The UE receives second information sent by the network side, which is used to configure the UE to start the inter-frequency measurement prediction condition;

[0202] The UE receives third information sent by the network side, which is used to manage the prediction in the case where there are multiple to-be-predicted cells.

[0203] The first information, the second information, and the third information described above can be carried in one signaling, for example, an extended RRCReconfiguration signaling or an extended RRCResume signaling or a MAC CE; or can be partially carried in one signaling, for example, the first and second information are carried in one signaling, and the third information is carried in another signaling; or can be independently carried in one signaling.

[0204] 2. Method for obtaining a to-be-predicted identity

[0205] The method for obtaining a to-be-predicted identity by a user equipment (UE) includes the following examples:

[0206] A. Determine the to-be-predicted identity based on the network inter-frequency measurement configuration;

[0207] B. Determine the to-be-predicted identity based on the cell discovered by the inter-frequency measurement;

[0208] C. Determine the to-be-predicted identity based on a first location association indication. The first location association indication is determined based on a first location indication, which indicates a specific to-be-predicted identity. The first location indication is used to indicate the location of the UE.

[0209] The above-mentioned method for obtaining a to-be-predicted identity can be obtained by the UE itself or can be obtained by the network and then notified to the UE.

[0210] In one embodiment, the UE can determine the to-be-predicted identity based on the inter-frequency measurement configuration issued by the network and based on the UE itself. The to-be-predicted identity can be a subset of the inter-frequency measurement configuration, or can correspond to the inter-frequency measurement configuration completely.

[0211] In another embodiment, the UE can detect 3 inter-frequency cells after performing inter-frequency measurement, and determine the to-be-predicted identities using the 3 cells. Since the discovered inter-frequency cells indicate that the inter-frequency cells have good signal coverage at the current UE location, prediction is more valuable; meanwhile, the number of the inter-frequency cells is smaller than or equal to the number of cells configured by the network for inter-frequency measurement, which can reduce the range of to-be-predicted cells and reduce unnecessary energy consumption for prediction.

[0212] In another embodiment, the network can indicate the to-be-predicted identities of the UE based on the location of the UE through the first location association indication. The location of the UE can be determined based on network positioning technology or reported by the UE to the network. Based on the location of the UE and the known deployment of base stations, the network can determine which inter-frequency cells exist near the current location of the UE and explicitly indicate the UE through the first location association indication. This can reduce the range of to-be-predicted cells and reduce unnecessary energy consumption for prediction.

[0213] In some other embodiments, the combination of A, B, and C can be used, for example, the network can indicate part of the measurement targets in the previously configured inter-frequency measurement configuration as to-be-measured identities through the first location association indication.

[0214] In the protocol, one or more of the following can be added or modified:

[0215] The first information is used to configure the UE to obtain to-be-predicted identities, and the method for the UE to obtain to-be-predicted identities includes one or more of the following:

[0216] Determining to-be-predicted identities based on network inter-frequency measurement configuration;

[0217] Determining to-be-predicted identities based on cells discovered by inter-frequency measurement;

[0218] Determining to-be-predicted identities based on the first location association indication.

[0219] 3. Prediction start condition

[0220] The inter-frequency prediction start condition includes one or more of the following:

[0221] A. Obtaining to-be-predicted identities;

[0222] B. The signal quality of the serving cell is less than a first threshold value;

[0223] C. The second location indication (or second location indicator) indicates that the UE is located in a position that needs to be started;

[0224] D. The moving speed of the UE is less than a second threshold value.

[0225] In one embodiment, the UE starts the measurement prediction for the measurement target / cell indicated by the to-be-predicted identifier after obtaining the to-be-predicted identifier. The to-be-predicted identifier can be a to-be-predicted cell identifier (ID), a frequency identifier, a measurement ID (measID) or a measurement target ID (measObjectID), etc. In this way, the prediction can be started as early as possible, the number of inter-frequency measurements can be reduced, and the signal quality of the inter-frequency cell can be known as early as possible. However, a large amount of inference energy can be wasted (because the inter-frequency measurement and / or the prediction can be unnecessary) because the conditions other than A are all for reducing unnecessary prediction.

[0226] In another embodiment, the UE needs to further satisfy that the signal quality of the serving cell is less than a first threshold value after obtaining the to-be-predicted identifier. This case is suitable for the prediction of the inter-frequency cell for enhanced coverage at the edge of the serving cell.

[0227] In another embodiment, the UE needs to further satisfy that a second location indicator indicates that the UE is near the inter-frequency cell after obtaining the to-be-predicted identifier. This case is suitable for the prediction of the inter-frequency cell for hotspot coverage inside the serving cell.

[0228] In another embodiment, the UE needs to further satisfy that the moving speed of the UE is less than a second threshold value after obtaining the to-be-predicted identifier. This case is suitable for the prediction of the inter-frequency cell for hotspot coverage inside the serving cell. This is because when the UE moves too fast, the temporary connection to the hotspot cell does not necessarily improve the performance of the UE.

[0229] In another embodiment, the UE needs to further satisfy that a second location indicator indicates that the UE is near the inter-frequency cell and the moving speed of the UE is less than a second threshold value after obtaining the to-be-predicted identifier. This case is suitable for the prediction of the inter-frequency cell for hotspot coverage inside the serving cell.

[0230] In the embodiments of the present application, the inter-frequency prediction is started only when necessary, which can reduce unnecessary energy consumption of the UE.

[0231] In the protocol, one or more of the following can be added or modified:

[0232] The second information is used to configure the inter-frequency measurement prediction starting condition of the UE, and the inter-frequency measurement prediction starting condition includes one or more of the following:

[0233] The to-be-predicted identifier has been obtained;

[0234] The signal quality of the serving cell is less than a first threshold value;

[0235] A second location indicator indicates that the UE is near the inter-frequency cell;

[0236] The moving speed of the UE is less than a second threshold value.

[0237] 4. Management of prediction model

[0238] The prediction of the to-be-predicted cell is based on an AI / ML model, input information of the AI / ML model includes a serving cell identifier, a to-be-predicted cell identifier, and a serving cell measurement result; and output information of the AI / ML model includes a measurement prediction result of a cell corresponding to the to-be-predicted cell identifier.

[0239] In particular, the number of to-be-predicted cell identifiers input into the AI / ML model is 1.

[0240] When the number of to-be-predicted cell identifiers is greater than the input of the AI / ML model, the AI / ML model alternately infers the measurement prediction result of each to-be-predicted cell. For example, when the number of to-be-predicted cell identifiers is 2, at time 0, the serving cell identifier, the to-be-predicted cell identifier 1, and the serving cell measurement result are input into the model to obtain the measurement prediction result of the to-be-predicted cell 1; at time 1, the serving cell identifier, the to-be-predicted cell identifier 2, and the serving cell measurement result are input into the model to obtain the measurement prediction result of the to-be-predicted cell 2.

[0241] In particular, during the alternately inferring process, when the inter-frequency measurement result of a predicted cell is greater than a third threshold value, the prediction of the remaining to-be-predicted cell can be stopped. This is because the main purpose of the inter-frequency measurement is to determine whether there is a better inter-frequency cell that can be accessed, and if a suitable accessible inter-frequency cell has been found, the measurement of other cells can be stopped.

[0242] The measurement result and the measurement prediction result described above can be RSRP or RSRQ. For example, both are RSRP, both are RSRQ; the measurement result is RSRP, and the measurement prediction result is RSRQ, or vice versa.

[0243] There can be multiple inter-frequency cells at the same UE location, and currently, the 3GPP discussion only discusses the scenario of one inter-frequency cell, and the measurement result of the inter-frequency cell is simply predicted based on the measurement result of the serving cell. In the scenario of multiple inter-frequency cells, this method is obviously no longer applicable. It is impossible to know which inter-frequency cell the output measurement result belongs to. The embodiment of the present application takes the identifier of the output inter-frequency cell as the input of the model, and can determine the attribution of the output measurement result.

[0244] In the protocol, one or more of the following can be added or modified:

[0245] The third information is used to manage the prediction in the case where multiple to-be-predicted cells exist. The management includes:

[0246] When the number of to-be-predicted cell identifications is greater than the AI / ML model input, a prediction priority order of the to-be-predicted cell is indicated, and the priority order can be divided according to frequency, divided according to a cell identification set, or divided according to a cell identification.

[0247] Prediction time information of the to-be-predicted cell is indicated, and the prediction time information includes one or more of a prediction start time, a prediction period, and a prediction end time.

[0248] When the inter-frequency measurement result of a predicted cell is greater than a third threshold value, the UE can stop predicting the remaining to-be-measured cell.

[0249] When the inter-frequency measurement result of a predicted cell is less than a fourth threshold value, the UE can stop predicting the to-be-measured cell. Example II, AI / ML model located at network side

[0250] The main content of the model located at the network side is similar to that located at the UE side, but there are some differences.

[0251] The network obtains to-be-predicted identifications and explicitly needs to predict cells (to-be-predicted cells); when a inter-frequency prediction start condition is reached, the prediction of the to-be-predicted cell is started.

[0252] The network obtains to-be-predicted identifications, which include one or more of the following:

[0253] A. to-be-predicted identifications are determined based on network inter-frequency measurement configuration;

[0254] B. to-be-predicted identifications are determined based on cells discovered by UE reported inter-frequency measurement;

[0255] C. to-be-predicted identifications are determined based on a first location indication, which is used to indicate the UE location, and the first location indication can be reported by the UE to the network or achieved by the network based on network side positioning or the like.

[0256] The prediction start condition can include one or more of the following:

[0257] A. to-be-predicted identifications are obtained;

[0258] B. the signal quality of the serving cell is less than a first threshold value;

[0259] C. a third location indication shows that the UE location is within the range of an inter-frequency cell;

[0260] D. the moving speed of the UE is less than a second threshold value.

[0261] The second location indicator and the third location indicator are different in that the second location indicator is a 0-1 variable, which is delivered by the network to the UE, indicating whether the UE is near a frequency difference cell; the third location indicator is a specific location information, for example, the latitude and longitude information of the UE, the current fingerprint map measurement result of the UE, which is reported by the UE to the network. The network further judges whether the UE is within the range of the frequency difference cell based on the base station deployment.

[0262] In actual application, the network side AI / ML model is used for frequency difference measurement prediction, which is more likely than the UE in the AI / ML model.

[0263] In the protocol, one or more of the following can be added or modified:

[0264] The network receives the fourth information sent by the UE, which is used to obtain the to-be-predicted identifier. The fourth information includes one or more of the following: the to-be-predicted identifier found by the UE frequency difference measurement, the first location indication.

[0265] The network receives the fifth information sent by the UE, which is used to assist the network in judging whether to start frequency difference measurement prediction. The fifth information includes one or more of the following: the signal quality of the serving cell is less than the first threshold value, the third location indication, the moving speed of the UE, and the moving speed of the UE is less than the second threshold value. The first and second threshold values are default values or are configured in advance by the network to the UE.

[0266] The fourth information and the fifth information described above can be the same information, for example, the fourth information is the first location indication, and the fifth information is the third location indication. The first location indication and the third location indication can be completely the same information, and the two can be combined into one information.

[0267] The embodiment of the present application proposes a frequency difference measurement prediction method, which can reduce the number of unnecessary frequency difference measurement prediction cells and the number of predictions, thereby reducing the energy consumption of the UE. The method can be applied to frequency difference measurement prediction in the presence of multiple frequency difference cells.

[0268] FIG. 14 is a schematic block diagram of a first communication device 1400 according to an embodiment of the present application. The first communication device 1400 can include:

[0269] The processing unit 1410 is configured to determine one or more to-be-predicted cells based on one or more to-be-predicted identifiers, and perform frequency difference measurement prediction on the one or more to-be-predicted cells.

[0270] In an embodiment, the processing unit 1410 is configured to start prediction on the one or more to-be-predicted cells if a frequency difference measurement prediction start condition is met.

[0271] FIG. 15 is a schematic flow chart of a first communication device 1500 according to another embodiment of the present application. The device can comprise one or more features of the devices described above. In an implementation, the first communication device further comprises:

[0272] a transceiver 1510 configured to receive first information, the first information being used to configure the first communication device to obtain a to-be-predicted identity.

[0273] In an implementation, the obtaining of the to-be-predicted identity comprises one or more of the following:

[0274] determining the to-be-predicted identity based on a second communication device inter-frequency measurement configuration;

[0275] determining the to-be-predicted identity based on a cell discovered by the first communication device inter-frequency measurement;

[0276] determining the to-be-predicted identity based on a first location association indication, the first location association indication being used to indicate a to-be-predicted identity possibly existing at a location where the first communication device is located.

[0277] In an implementation, the transceiver 1510 is further configured to receive second information, the second information being used to configure an inter-frequency measurement prediction start condition of the first communication device.

[0278] In an implementation, the inter-frequency measurement prediction start condition comprises one or more of the following:

[0279] the to-be-predicted identity has been obtained;

[0280] a signal quality of a serving cell is less than a first threshold value;

[0281] a second location indication indicates that an inter-frequency measurement prediction needs to be started at a location where the first communication device is located;

[0282] a moving speed of the first communication device is less than a second threshold value.

[0283] In an implementation, the transceiver 1510 is further configured to receive third information, the third information being used to manage prediction in a case where multiple to-be-predicted cells exist.

[0284] In an implementation, the way of managing prediction in a case where multiple to-be-predicted cells exist comprises one or more of the following:

[0285] indicating a prediction priority order of the to-be-predicted cells in a case where a number of to-be-predicted cell identities is greater than a first model input;

[0286] indicating prediction time information of the to-be-predicted cells, the prediction time information comprising one or more of a prediction start time, a prediction period, and a prediction end time.

[0287] In a case that the inter-frequency measurement result of one of the to-be-predicted cells is greater than a third threshold value, instructing the first communication device to stop performing prediction on the remaining to-be-predicted cells.

[0288] In a case that the inter-frequency measurement result of one of the to-be-predicted cells is less than a fourth threshold value, instructing the first communication device to stop performing prediction on the to-be-predicted cell.

[0289] In an embodiment, the priority order is divided according to one or more of the following: division according to frequency, division according to a set of cell identifiers, division according to cell identifier.

[0290] In an embodiment, the transceiver 1510 is further configured to receive fourth information, the fourth information being used to obtain to-be-predicted identifiers.

[0291] In an embodiment, the fourth information comprises one or more of the following: to-be-predicted identifiers discovered by inter-frequency measurement of the second communication device; a first location indication.

[0292] In an embodiment, the obtaining of the to-be-predicted identifiers comprises one or more of the following:

[0293] determining the to-be-predicted identifiers based on inter-frequency measurement configuration of the first communication device;

[0294] determining the to-be-predicted identifiers based on cells discovered by inter-frequency measurement reported by the second communication device;

[0295] determining the to-be-predicted identifiers based on a first location indication, the first location indication being used to indicate a location of the second communication device.

[0296] In an embodiment, the transceiver 1510 is further configured to receive fifth information, the fifth information being used to assist the first communication device in judging whether a condition for starting inter-frequency measurement prediction is met.

[0297] In an embodiment, the fifth information comprises one or more of the following:

[0298] a signal quality of a serving cell being less than a first threshold value;

[0299] a third location indication;

[0300] a moving speed of the second communication device;

[0301] the moving speed of the second communication device being less than a second threshold value.

[0302] In an embodiment, the condition for starting inter-frequency measurement prediction comprises one or more of the following:

[0303] obtaining to-be-predicted identifiers;

[0304] a signal quality of a serving cell is less than a first threshold value;

[0305] the third position indication indicates that the second communication device is within a range of a cell of a different frequency;

[0306] a moving speed of the second communication device is less than a second threshold value.

[0307] The first communication device 1400, 1500 of the embodiments of the present application can realize the corresponding functions of the first communication device in the foregoing method embodiments. The corresponding processes, functions, implementation manners, and beneficial effects of each module (sub-module, unit, or component, etc.) in the first communication device 1400, 1500 can be referred to the corresponding description in the foregoing method embodiments, which will not be described here again. It should be noted that the functions described with respect to each module (sub-module, unit, or component, etc.) in the first communication device 1400, 1500 of the embodiments of the present application can be realized by different modules (sub-modules, units, or components, etc.), or can be realized by the same module (sub-module, unit, or component, etc.).

[0308] FIG. 16 is a schematic block diagram of a second communication device 1600 according to an embodiment of the present application. The second communication device 1600 can include:

[0309] The processing unit 1610 is configured to instruct the first communication device to determine one or more to-be-predicted cells based on one or more to-be-predicted identities for inter-frequency measurement prediction on the one or more to-be-predicted cells.

[0310] In an implementation manner, the inter-frequency measurement prediction of the one or more to-be-predicted cells is started in a case where an inter-frequency measurement prediction start condition is reached.

[0311] FIG. 17 is a schematic flowchart of a first communication device 1700 according to another embodiment of the present application. The device can include one or more features of the devices described above. In an implementation manner, the second communication device further includes:

[0312] The transceiver unit 1710 is configured to send first information, where the first information is used to configure the first communication device to acquire a to-be-predicted identity.

[0313] In an implementation manner, the acquisition manner of the to-be-predicted identity includes one or more of the following:

[0314] determining the to-be-predicted identity based on an inter-frequency measurement configuration of the second communication device;

[0315] determining the to-be-predicted identity based on a cell discovered by the inter-frequency measurement of the first communication device;

[0316] determine the to-be-predicted identity based on a first location correlation indication, the first location correlation indication being used to indicate a to-be-predicted identity possibly existing at a location where the first communication device is located.

[0317] In an implementation, the transceiver 1710 is further configured to send second information, the second information being used to configure an inter-frequency measurement prediction start condition of the first communication device.

[0318] In an implementation, the inter-frequency measurement prediction start condition comprises one or more of the following:

[0319] the to-be-predicted identity has been obtained;

[0320] a signal quality of a serving cell is less than a first threshold value;

[0321] a second location indication indicates that the first communication device needs to start inter-frequency measurement prediction at a location where the first communication device is located;

[0322] a moving speed of the first communication device is less than a second threshold value.

[0323] In an implementation, the transceiver 1710 is further configured to send third information, the third information being used to manage prediction in a case where multiple to-be-predicted cells exist.

[0324] In an implementation, the way of managing prediction in a case where multiple to-be-predicted cells exist comprises one or more of the following:

[0325] indicating a prediction priority order of the to-be-predicted cells in a case where a number of to-be-predicted cell identities is greater than a first model input;

[0326] indicating prediction time information of the to-be-predicted cells, the prediction time information comprising one or more of a prediction start time, a prediction period, and a prediction end time.

[0327] indicating the first communication device to stop prediction of remaining to-be-predicted cells in a case where an inter-frequency measurement result of one to-be-predicted cell is greater than a third threshold value.

[0328] indicating the first communication device to stop prediction of one to-be-predicted cell in a case where an inter-frequency measurement result of the to-be-predicted cell is less than a fourth threshold value.

[0329] In an implementation, the priority order is divided according to one or more of the following: division according to frequency, division according to a cell identity set, and division according to a cell identity.

[0330] In an implementation, the transceiver 1710 is further configured to send fourth information, the fourth information being used to obtain the to-be-predicted identity.

[0331] In an embodiment, the fourth information comprises one or more of the following: a to-be-predicted identity discovered by inter-frequency measurement of the second communication device; a first location indication.

[0332] In an embodiment, the to-be-predicted identity is obtained in one or more of the following ways:

[0333] determining the to-be-predicted identity based on inter-frequency measurement configuration of the first communication device;

[0334] determining the to-be-predicted identity based on a cell discovered by inter-frequency measurement reported by the second communication device;

[0335] determining the to-be-predicted identity based on a first location indication, the first location indication indicating a location of the second communication device.

[0336] In an embodiment, the transceiver 1710 is further configured to send fifth information, the fifth information being used to assist the first communication device in determining whether a condition for starting inter-frequency measurement prediction is met.

[0337] In an embodiment, the fifth information comprises one or more of the following:

[0338] a signal quality of a serving cell being less than a first threshold value;

[0339] a third location indication;

[0340] a moving speed of the second communication device;

[0341] the moving speed of the second communication device being less than a second threshold value.

[0342] In an embodiment, the condition for starting inter-frequency measurement prediction comprises one or more of the following:

[0343] obtaining a to-be-predicted identity;

[0344] a signal quality of a serving cell being less than a first threshold value;

[0345] a third location indication indicating that a location of the second communication device is within a range of an inter-frequency cell;

[0346] a moving speed of the second communication device being less than a second threshold value.

[0347] The second communication device 1600, 1700 of the embodiments of the present application can realize the corresponding functions of the second communication device in the foregoing method embodiments. The processes, functions, implementation manners, and beneficial effects of each module (sub-module, unit, or component, etc.) in the second communication device 1600, 1700 can be referred to the corresponding description in the foregoing method embodiments, which will not be described here again. It should be noted that the functions described with respect to each module (sub-module, unit, or component, etc.) in the second communication device 1600, 1700 of the embodiments of the present application can be realized by different modules (sub-modules, units, or components, etc.), or by the same module (sub-module, unit, or component, etc.).

[0348] FIG. 18 is a schematic structural diagram of a communication device 1800 according to the embodiments of the present application. The communication device 1800 includes a processor 1810, which can call and run a computer program from a memory to enable the communication device 1800 to implement the methods in the embodiments of the present application.

[0349] In an implementation manner, the communication device 1800 can further include a memory 1820. The processor 1810 can call and run a computer program from the memory 1820 to enable the communication device 1800 to implement the methods in the embodiments of the present application.

[0350] The memory 1820 can be a separate device independent of the processor 1810, or can be integrated in the processor 1810.

[0351] In an implementation manner, the communication device 1800 can further include a transceiver 1830, and the processor 1810 can control the transceiver 1830 to communicate with other devices, specifically, to send information or data to other devices, or to receive information or data sent by other devices.

[0352] The transceiver 1830 can include a transmitter and a receiver. The transceiver 1830 can further include an antenna, and the number of antennas can be one or more.

[0353] In an implementation manner, the communication device 1800 can be the first communication device of the embodiments of the present application, and the communication device 1800 can realize the corresponding processes realized by the first communication device in the methods of the embodiments of the present application. For the sake of brevity, details are not described here again.

[0354] In an implementation manner, the communication device 1800 can be the second communication device of the embodiments of the present application, and the communication device 1800 can realize the corresponding processes realized by the second communication device in the methods of the embodiments of the present application. For the sake of brevity, details are not described here again.

[0355] FIG. 19 is a schematic structural diagram of a chip 1900 according to an embodiment of the present application. The chip 1900 includes a processor 1910, which can invoke and run a computer program from a memory to implement the method in the embodiments of the present application.

[0356] In an embodiment, the chip 1900 can further include a memory 1920. The processor 1910 can invoke and run a computer program from the memory 1920 to implement the method performed by the first communication device or the second communication device in the embodiments of the present application.

[0357] The memory 1920 can be a separate device independent of the processor 1910, or can be integrated in the processor 1910.

[0358] In an embodiment, the chip 1900 can further include an input interface 1930. The processor 1910 can control the input interface 1930 to communicate with other devices or chips, and specifically, can acquire information or data sent by other devices or chips.

[0359] In an embodiment, the chip 1900 can further include an output interface 1940. The processor 1910 can control the output interface 1940 to communicate with other devices or chips, and specifically, can output information or data to other devices or chips.

[0360] In an embodiment, the chip can be applied to the first communication device in the embodiments of the present application, and the chip can implement the corresponding procedures in the methods of the embodiments of the present application performed by the first communication device. For brevity, details are not described herein.

[0361] In an embodiment, the chip can be applied to the second communication device in the embodiments of the present application, and the chip can implement the corresponding procedures in the methods of the embodiments of the present application performed by the second communication device. For brevity, details are not described herein.

[0362] The chip applied to the first communication device and the second communication device can be the same chip or different chips.

[0363] It should be understood that the chip mentioned in the embodiments of the present application can also be referred to as a system chip, a system-on-chip, a chip system or a system-on-chip, etc.

[0364] The aforementioned processor can be a general-purpose processor, a digital signal processor (DSP), a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), or other programmable logic device, transistor logic device, discrete hardware component, etc. Among them, the aforementioned general-purpose processor can be a microprocessor or any conventional processor, etc.

[0365] The aforementioned memory can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (ROM), a programmable ROM (PROM), an erasable PROM (EPROM), an electrically EPROM (EEPROM), or a flash memory. The volatile memory can be a random access memory (RAM).

[0366] It should be understood that the aforementioned memory is an exemplary but non-limiting description, for example, the memory in the embodiments of the present application can also be a static RAM (SRAM), a dynamic RAM (DRAM), a synchronous DRAM (SDRAM), a double data rate SDRAM (DDR SDRAM), an enhanced SDRAM (ESDRAM), a synch link DRAM (SLDRAM), and a direct memory bus RAM (Direct Rambus RAM, DR RAM), etc. That is, the memory in the embodiments of the present application is intended to include but not limited to these and any other suitable type of memory.

[0367] FIG. 20 is a schematic block diagram of a communication system 2000 according to an embodiment of the present application. The communication system 2000 includes a first communication device 2010 and a second communication device 2020.

[0368] The first communication device 2010 is configured to determine one or more to-be-predicted cells based on one or more to-be-predicted identities, and perform inter-frequency measurement prediction on the one or more to-be-predicted cells.

[0369] The second communication device 2020 is configured to instruct the first communication device to determine one or more to-be-predicted cells based on one or more to-be-predicted identities, and perform inter-frequency measurement prediction on the one or more to-be-predicted cells.

[0370] The first communication device 2010 can be configured to implement the corresponding functions of the first communication device in the above-described method, and the second communication device 2020 can be configured to implement the corresponding functions of the second communication device in the above-described method. For brevity, details are not repeated here.

[0371] In the above-described embodiments, all or part of the above-described system, device, and unit can be implemented by software, hardware, firmware, or any combination thereof. When implemented by software, all or part of the software can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed by a computer, the computer instructions generate all or part of the processes or functions in the embodiments of the present application. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) mode. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that includes one or more available media sets. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)), etc.

[0372] It should be understood that, in various embodiments of the present application, the size of the sequence number of each process described above does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0373] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device, and unit can refer to the corresponding process in the foregoing method embodiments, and details are not repeated here.

[0374] The above merely provides the specific implementation of the present application, but the protection scope of the present application is not limited thereto, any person skilled in the art can easily think of the changes or replacements within the technical range disclosed by the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for inter-frequency measurement prediction, comprising: determining, by a first communication device, one or more to-be-predicted cells based on one or more to-be-predicted identities; performing, by the first communication device, inter-frequency measurement prediction on the one or more to-be-predicted cells.

2. The method of claim 1, wherein, The performing, by the first communication device, inter-frequency measurement prediction on the one or more to-be-predicted cells comprises: starting, by the first communication device, the prediction on the one or more to-be-predicted cells when a starting condition of inter-frequency measurement prediction is met.

3. The method of claim 1 or 2, wherein, The method further comprises: receiving, by the first communication device, first information for configuring the first communication device to obtain to-be-predicted identities.

4. The method of claim 3, wherein, The obtaining of the to-be-predicted identities comprises one or more of the following: determining the to-be-predicted identities based on an inter-frequency measurement configuration of a second communication device; determining the to-be-predicted identities based on cells discovered by inter-frequency measurement of the first communication device; determining the to-be-predicted identities based on a first location association indication indicating to-be-predicted identities possibly existing at a location where the first communication device is located.

5. The method of any one of claims 1 to 4, wherein, The method further comprises: receiving, by the first communication device, second information for configuring a starting condition of inter-frequency measurement prediction of the first communication device.

6. The method of claim 5, wherein, The starting condition of inter-frequency measurement prediction comprises one or more of the following: a to-be-predicted identity has been obtained; a signal quality of a serving cell is less than a first threshold value; a second location indication indicates that inter-frequency measurement prediction needs to be started at a location where the first communication device is located; a moving speed of the first communication device is less than a second threshold value.

7. The method of any one of claims 1 to 6, wherein, The method further comprises: receiving, by the first communication device, third information for managing the prediction in a case where multiple to-be-predicted cells exist.

8. The method of claim 7, wherein, The managing of the prediction in the case where multiple to-be-predicted cells exist comprises one or more of the following: indicating a prediction priority order of to-be-predicted cells in a case where a number of to-be-predicted cell identities is greater than a first model input; indicating prediction time information of to-be-predicted cells, the prediction time information comprising one or more of a prediction start time, a prediction period, and a prediction end time; indicating the first communication device to stop the prediction on remaining to-be-predicted cells in a case where an inter-frequency measurement result of one to-be-predicted cell is greater than a third threshold value; indicating the first communication device to stop the prediction on one to-be-predicted cell in a case where an inter-frequency measurement result of the to-be-predicted cell is less than a fourth threshold value.

9. The method of claim 8, wherein, The priority order is divided according to one or more of the following: frequency division, cell identity set division, and cell identity division.

10. The method of claim 1 or 2, wherein, The method further comprises: receiving, by the first communication device, fourth information for obtaining to-be-predicted identities.

11. The method of claim 10, wherein, The fourth information comprises one or more of the following: to-be-predicted identities discovered by inter-frequency measurement of a second communication device; and a first location indication.

12. The method of claim 10 or 11, wherein, The obtaining of the to-be-predicted identities comprises one or more of the following: determining to-be-predicted identities based on an inter-frequency measurement configuration of the first communication device; determining to-be-predicted identities based on cells discovered by inter-frequency measurement reported by a second communication device; The first position indication is used to indicate a position of the second communication device.

13. The method of claim 1, 2, 10, 11, or 12, wherein, The method further comprises: The first communication device receives fifth information, which is used to assist the first communication device to determine whether a condition for starting inter-frequency measurement prediction is met.

14. The method of claim 13, wherein, The fifth information comprises one or more of: a signal quality of a serving cell is less than a first threshold value; a third position indication; a moving speed of the second communication device; the moving speed of the second communication device is less than a second threshold value.

15. The method of claim 13 or 14, wherein, The condition for starting inter-frequency measurement prediction comprises one or more of: obtaining a to-be-predicted identity; a signal quality of a serving cell is less than a first threshold value; a third position indication indicates that the second communication device is located within a range of a cell of a different frequency; the moving speed of the second communication device is less than a second threshold value.

16. An inter-frequency measurement prediction method, comprising: a second communication device instructing a first communication device to determine one or more to-be-predicted cells based on one or more to-be-predicted identities, so as to perform inter-frequency measurement prediction on the one or more to-be-predicted cells.

17. The method of claim 16, wherein, The inter-frequency measurement prediction on the one or more to-be-predicted cells is started when a condition for starting inter-frequency measurement prediction is met.

18. The method of claim 16 or 17, wherein, The method further comprises: The second communication device sends first information, which is used to configure the first communication device to obtain a to-be-predicted identity.

19. The method of claim 18, wherein, The manner of obtaining the to-be-predicted identity comprises one or more of: obtaining the to-be-predicted identity based on an inter-frequency measurement configuration of the second communication device; obtaining the to-be-predicted identity based on a cell discovered by the first communication device through inter-frequency measurement; obtaining the to-be-predicted identity based on a first position association indication, which is used to indicate a to-be-predicted identity that may exist at a position of the first communication device.

20. The method of any one of claims 16-19, wherein, The method further comprises: The second communication device sends second information, which is used to configure a condition for starting inter-frequency measurement prediction of the first communication device.

21. The method of claim 20, wherein, The condition for starting inter-frequency measurement prediction comprises one or more of: a to-be-predicted identity has been obtained; a signal quality of a serving cell is less than a first threshold value; a second position indication indicates that a position of the first communication device needs to start inter-frequency measurement prediction; a moving speed of the first communication device is less than a second threshold value.

22. The method of any one of claims 16 to 21, wherein, The method further comprises: The second communication device sends third information, which is used to manage prediction in a case where multiple to-be-predicted cells exist.

23. The method of claim 22, wherein, The manner of managing prediction in a case where multiple to-be-predicted cells exist comprises one or more of: indicating a prediction priority order of to-be-predicted cells in a case where a number of to-be-predicted cell identities is greater than a first model input; indicating prediction time information of to-be-predicted cells, which comprises one or more of a prediction start time, a prediction period, and a prediction end time; indicating the first communication device to stop prediction on remaining to-be-predicted cells in a case where an inter-frequency measurement result of one to-be-predicted cell is greater than a third threshold value; indicating the first communication device to stop prediction on a to-be-predicted cell in a case where an inter-frequency measurement result of the to-be-predicted cell is less than a fourth threshold value.

24. The method of claim 23, wherein, The priority order is divided according to one or more of the following: frequency division, cell identification set division, cell identification division.

25. The method of claim 16 or 17, wherein, The method further comprises: The second communication device sends fourth information, and the fourth information is used to obtain a to-be-predicted identity.

26. The method of claim 25, wherein, The fourth information comprises one or more of the following: a to-be-predicted identity discovered by inter-frequency measurement of the second communication device; a first location indication.

27. The method of claim 25 or 26, wherein, The obtaining manner of the to-be-predicted identity comprises one or more of the following: The to-be-predicted identity is determined based on inter-frequency measurement configuration of the first communication device; The to-be-predicted identity is determined based on a cell discovered by inter-frequency measurement reported by the second communication device; The to-be-predicted identity is determined based on a first location indication used to indicate a location of the second communication device.

28. The method of claim 16, 17, 25, 26, or 27, wherein, The method further comprises: The second communication device sends fifth information, and the fifth information is used to assist the first communication device in judging whether a inter-frequency measurement prediction start condition is met.

29. The method of claim 28, wherein, The fifth information comprises one or more of the following: A signal quality of a serving cell is less than a first threshold value; A third location indication; A moving speed of the second communication device; The moving speed of the second communication device is less than a second threshold value.

30. The method of claim 28 or 29, wherein, The inter-frequency measurement prediction start condition comprises one or more of the following: The to-be-predicted identity is obtained; The signal quality of the serving cell is less than the first threshold value; The third location indication indicates that the second communication device is located within a range of an inter-frequency cell; The moving speed of the second communication device is less than the second threshold value.

31. A first communication device, comprising: a processing unit configured to determine one or more to-be-predicted cells based on one or more to-be-predicted identities; and perform inter-frequency measurement prediction on the one or more to-be-predicted cells.

32. The first communication device of claim 31, wherein, The processing unit is configured to start the prediction on the one or more to-be-predicted cells when a inter-frequency measurement prediction start condition is met.

33. A first communications device according to claim 31 or 32, wherein, The first communication device further comprises: a transceiver configured to receive first information used to configure the first communication device to obtain the to-be-predicted identities.

34. The first communication device of claim 33, wherein, The obtaining manner of the to-be-predicted identities comprises one or more of the following: The to-be-predicted identities are determined based on inter-frequency measurement configuration of a second communication device; The to-be-predicted identities are determined based on cells discovered by inter-frequency measurement of the first communication device; The to-be-predicted identities are determined based on a first location indication used to indicate to-be-predicted identities possibly existing at a location where the first communication device is located.

35. A first communications device according to any one of claims 31 to 34, wherein, The transceiver is further configured to receive second information used to configure a inter-frequency measurement prediction start condition of the first communication device.

36. The first communication device of claim 35, wherein, The inter-frequency measurement prediction start condition comprises one or more of the following: The to-be-predicted identities are obtained; A signal quality of a serving cell is less than a first threshold value; A second location indication indicates that a location where the first communication device is located needs to start inter-frequency measurement prediction; A moving speed of the first communication device is less than a second threshold value.

37. A first communications device according to any one of claims 31 to 36, wherein, The transceiver is further configured to receive third information used to manage prediction in a case where multiple to-be-predicted cells exist.

38. The first communication device of claim 37, wherein, The manner of managing prediction in the case where multiple to-be-predicted cells exist comprises one or more of the following: In a case where the number of to-be-predicted cell identifications is greater than the first model input, a prediction priority order of to-be-predicted cells is indicated; Prediction time information of to-be-predicted cells is indicated, the prediction time information including one or more of a prediction start time, a prediction period, and a prediction end time; In a case where inter-frequency measurement result of one to-be-predicted cell is greater than a third threshold value, the first communication device is instructed to stop prediction of remaining to-be-predicted cells; In a case where inter-frequency measurement result of one to-be-predicted cell is less than a fourth threshold value, the first communication device is instructed to stop prediction of the to-be-predicted cell.

39. The first communication device of claim 38, wherein, The priority order is divided according to one or more of the following: frequency division, cell identification set division, and cell identification division.

40. A first communications device according to claim 41 or 42, wherein, The transceiver unit is further configured to receive fourth information, the fourth information being used to obtain to-be-predicted identifications.

41. The method of claim 40, wherein, The fourth information includes one or more of the following: to-be-predicted identifications discovered by inter-frequency measurement of the second communication device; and a first location indication.

42. The method of claim 40 or 41, wherein, The to-be-predicted identification obtaining manner includes one or more of the following: The to-be-predicted identification is determined based on inter-frequency measurement configuration of the first communication device; The to-be-predicted identification is determined based on cells discovered by inter-frequency measurement reported by the second communication device; The to-be-predicted identification is determined based on the first location indication, the first location indication being used to indicate a location of the second communication device.

43. The first communication device of claim 31, 32, 40, 41, or 42, wherein, The transceiver unit is further configured to receive fifth information, the fifth information being used to assist the first communication device in judging whether a inter-frequency measurement prediction start condition is met.

44. A first communications device according to Claim 43, wherein, The fifth information includes one or more of the following: Signal quality of a serving cell is less than a first threshold value; A third location indication; A moving speed of the second communication device; The moving speed of the second communication device is less than a second threshold value.

45. A first communications device according to claim 43 or 44, wherein, The inter-frequency measurement prediction start condition includes one or more of the following: To-be-predicted identifications are obtained; Signal quality of a serving cell is less than a first threshold value; The third location indication indicates that the second communication device is located within a range of inter-frequency cells; The moving speed of the second communication device is less than a second threshold value. 46.A second communication device, comprising: a processing unit configured to instruct a first communication device to determine one or more to-be-predicted cells based on one or more to-be-predicted identifications, so as to perform inter-frequency measurement prediction on the one or more to-be-predicted cells.

47. A second communications device according to Claim 46, wherein, Inter-frequency measurement prediction of the one or more to-be-predicted cells is started in a case where an inter-frequency measurement prediction start condition is met.

48. A second communications device according to claim 46 or 47, wherein, The second communication device further comprises: a transceiver unit configured to send first information, the first information being used to configure the first communication device to obtain to-be-predicted identifications.

49. The second communication device of claim 48, wherein, The to-be-predicted identification obtaining manner includes one or more of the following: The to-be-predicted identification is determined based on inter-frequency measurement configuration of the second communication device; The to-be-predicted identification is determined based on cells discovered by inter-frequency measurement of the first communication device; The to-be-predicted identification is determined based on a first location association indication, the first location association indication being used to indicate to-be-predicted identifications possibly existing at a location of the first communication device.

50. A second communications device according to any one of claims 46 to 49, wherein, The transceiver unit is further configured to send second information, the second information being used to configure an inter-frequency measurement prediction start condition of the first communication device.

51. The second communication device of claim 50, wherein, The inter-frequency measurement prediction start condition comprises one or more of the following: The to-be-predicted identifier is obtained; The signal quality of the serving cell is less than a first threshold value; The second location indication indicates that the location where the first communication device is located needs to start inter-frequency measurement prediction; The moving speed of the first communication device is less than a second threshold value.

52. A second communications device according to any one of claims 46 to 51, wherein, The transceiver is further configured to send third information for managing prediction in the case where multiple to-be-predicted cells exist.

53. The second communication device of claim 52, wherein, The manner of managing prediction in the case where multiple to-be-predicted cells exist comprises one or more of the following: In the case where the number of to-be-predicted cell identifiers is greater than a first model input, the prediction priority order of the to-be-predicted cells is indicated; The prediction time information of the to-be-predicted cells is indicated, and the prediction time information comprises one or more of the following: prediction start time, prediction period, and prediction end time; In the case where the inter-frequency measurement result of one to-be-predicted cell is greater than a third threshold value, the first communication device is instructed to stop prediction of the remaining to-be-predicted cells; In the case where the inter-frequency measurement result of one to-be-predicted cell is less than a fourth threshold value, the first communication device is instructed to stop prediction of the to-be-predicted cell.

54. A second communications device according to Claim 53 wherein, The priority order is divided according to one or more of the following: frequency division, cell identifier set division, and cell identifier division.

55. The method of claim 46 or 47, wherein, The transceiver is further configured to send fourth information for obtaining the to-be-predicted identifier.

56. A second communications device according to Claim 55 wherein, The fourth information comprises one or more of the following: the to-be-predicted identifier discovered by the inter-frequency measurement of the second communication device; and the first location indication.

57. A second communications device according to claim 55 or 56, wherein, The manner of obtaining the to-be-predicted identifier comprises one or more of the following: The to-be-predicted identifier is determined based on the inter-frequency measurement configuration of the first communication device; The to-be-predicted identifier is determined based on the to-be-predicted cell discovered by the inter-frequency measurement reported by the second communication device; The to-be-predicted identifier is determined based on the first location indication, and the first location indication is used to indicate the location of the second communication device.

58. A second communications device according to claim 46, 47, 55, 56 or 57, wherein, The transceiver is further configured to send fifth information for assisting the first communication device in judging whether the inter-frequency measurement prediction start condition is met.

59. The second communication device of claim 58, wherein, The fifth information comprises one or more of the following: The signal quality of the serving cell is less than a first threshold value; The third location indication indicates that the location of the second communication device is within the range of the inter-frequency cell; The moving speed of the second communication device is less than a second threshold value. The inter-frequency measurement prediction start condition comprises one or more of the following:

60. A second communications device according to claim 58 or 59, wherein, The to-be-predicted identifier is obtained; The signal quality of the serving cell is less than a first threshold value; The third location indication indicates that the location of the second communication device is within the range of the inter-frequency cell; The moving speed of the second communication device is less than a second threshold value. A transceiver, a processor, and a memory, the memory is configured to store a computer program, the transceiver is configured to communicate with other devices, and the processor is configured to call and run the computer program stored in the memory, so that the communication device executes the method in any one of claims 1 to 30.

61. A communication device, comprising: A processor is configured to call and run a computer program from a memory, so that the device installed with the chip executes the method in any one of claims 1 to 30.

62. A chip comprising: ​ 63. A computer readable storage medium for storing a computer program which, when run by an apparatus, causes the apparatus to perform the method of any one of claims 1 to 30.

64. A computer program product comprising computer program instructions which cause a computer to perform the method of any one of claims 1 to 30.

65. A computer program which causes a computer to perform the method of any one of claims 1 to 30.

66. A communication system comprising: a first communication device configured to perform the method of any one of claims 1 to 15; and a second communication device configured to perform the method of any one of claims 16 to 30.

Images