Method for wireless communication, terminal device, and network device

Abstract

Provided are a method for wireless communication, a terminal device, and a network device. The method for wireless communication comprises: a terminal device performs RRM measurement on the basis of a first parameter, wherein the first parameter is used for indicating a measurement requirement of the RRM measurement, and determination of the first parameter is associated with an RRM prediction error.

Description

Methods, terminal devices, and network devices for wireless communication Technical Field

[0001] This application relates to the field of communication technology, and more specifically, to a method, terminal device, and network device for wireless communication. Background Technology

[0002] When terminal devices perform radio resource management (RRM) measurements, they must adhere to RRM measurement requirements (e.g., measurement accuracy requirements, measurement time requirements, etc.) to balance the terminal device's power consumption and the accuracy of the RRM measurements. However, when some communication systems (such as new radio (NR) systems) introduce artificial intelligence (AI) to predict the mobility of terminal devices, this mobility prediction can impact the RRM measurement requirements, rendering the current RRM measurement requirements inapplicable.

[0003] Summary of the Invention

[0004] This application provides a method, terminal device, and network device for wireless communication. The various aspects covered in this application are described below.

[0005] In a first aspect, a method for wireless communication is provided, comprising: a terminal device performing an RRM measurement based on a first parameter; wherein the first parameter is used to indicate the measurement requirements of the RRM measurement, and the determination of the first parameter is associated with the RRM prediction error.

[0006] In a second aspect, a method for wireless communication is provided, comprising: a terminal device sending measurement results to a network device, the measurement results including measurement results at a first frequency point and measurement results at a second frequency point; wherein the measurement results at the first frequency point are actually measured by the terminal device, and the measurement results at the second frequency point are predicted by the terminal device.

[0007] Thirdly, a method for wireless communication is provided, comprising: a network device configuring a first parameter to a terminal device, the first parameter being used for performing RRM measurement; wherein the first parameter is used to indicate the measurement requirements of the RRM measurement, and the determination of the first parameter is associated with the RRM prediction error.

[0008] Fourthly, a method for wireless communication is provided, comprising: a network device receiving measurement results sent by a terminal device, the measurement results including measurement results at a first frequency point and measurement results at a second frequency point; wherein the measurement results at the first frequency point are actually measured by the terminal device, and the measurement results at the second frequency point are predicted by the terminal device.

[0009] Fifthly, a terminal device is provided, comprising: a measurement module for performing RRM measurement according to a first parameter; wherein the first parameter is used to indicate the measurement requirements of the RRM measurement, and the determination of the first parameter is associated with the RRM prediction error.

[0010] In a sixth aspect, a terminal device is provided, comprising: a transmitting module for transmitting measurement results to a network device, the measurement results including measurement results at a first frequency point and measurement results at a second frequency point; wherein the measurement results at the first frequency point are actually measured by the terminal device, and the measurement results at the second frequency point are predicted by the terminal device.

[0011] In a seventh aspect, a network device is provided, comprising: a configuration module for configuring a first parameter to a terminal device, the first parameter being used for RRM measurement; wherein the first parameter is used to indicate the measurement requirements of the RRM measurement, and the determination of the first parameter is associated with the RRM prediction error.

[0012] Eighthly, a network device is provided, comprising: a receiving module for receiving measurement results sent by a terminal device, the measurement results including measurement results at a first frequency point and measurement results at a second frequency point; wherein the measurement results at the first frequency point are actually measured by the terminal device, and the measurement results at the second frequency point are predicted by the terminal device.

[0013] A ninth aspect provides a terminal device, including a processor and a memory, the memory being used to store one or more computer programs, the processor being used to invoke the computer programs in the memory to cause the terminal device to perform some or all of the steps in the method of the first aspect or the second aspect.

[0014] In a tenth aspect, a network device is provided, including a processor, a memory, and a communication interface, wherein the memory is used to store one or more computer programs, and the processor is used to invoke the computer programs in the memory to cause the network device to perform some or all of the steps of the method in the third or fourth aspect.

[0015] Eleventhly, embodiments of this application provide a communication system, which includes the aforementioned terminal device and / or network device. In another possible design, the system may further include other devices that interact with the terminal device or network device as described in the embodiments of this application.

[0016] In a twelfth aspect, embodiments of this application provide a computer-readable storage medium storing a computer program that causes a computer to perform some or all of the steps in the methods described above.

[0017] In a thirteenth aspect, embodiments of this application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of the methods described in the foregoing aspects. In some implementations, the computer program product may be a software installation package.

[0018] In a fourteenth aspect, embodiments of this application provide a chip including a memory and a processor, the processor being able to call and run a computer program from the memory to implement some or all of the steps described in the methods of the foregoing aspects.

[0019] In this embodiment, the determination of the first parameter is related to (or associated with) the RRM prediction error. In other words, this embodiment considers the RRM prediction error when determining the RRM measurement requirements. Therefore, in mobility prediction scenarios, the terminal device can also perform RRM measurements based on the first parameter, which helps improve the applicability of the RRM measurement requirements. Attached Figure Description

[0020] Figure 1 is a system architecture example diagram of a wireless communication system applicable to embodiments of this application.

[0021] Figure 2 is an example diagram of the measurement type corresponding to the measurement reference signal provided in an embodiment of this application.

[0022] Figure 3 is an example diagram of the measurement type corresponding to the measurement reference signal provided in another embodiment of this application.

[0023] Figure 4 is an example diagram of the measurement type corresponding to the measurement reference signal provided in another embodiment of this application.

[0024] Figure 5 is an example diagram of the measurement configuration provided in an embodiment of this application.

[0025] Figure 6 is an example diagram of the SSB measurement timing configuration (SMTC) provided in the embodiments of this application.

[0026] Figure 7 is an example diagram of the interval pattern provided in the embodiments of this application.

[0027] Figure 8 is an example diagram of RRM measurement types for terminal devices in idle / inactive states.

[0028] Figure 9 is an example diagram of the measurement time window of a terminal device in an idle / inactive state.

[0029] Figure 10 is an example diagram showing the relationship between SMTC and measurement interval.

[0030] Figure 11 is a flowchart illustrating a method for wireless communication provided in an embodiment of this application.

[0031] Figure 12 is an example diagram of the measurement time of the terminal device in the RRM prediction scenario provided in the embodiments of this application.

[0032] Figure 13 is a flowchart illustrating a method for wireless communication provided in another embodiment of this application.

[0033] Figure 14 is an example diagram of RRM measurement time relaxation.

[0034] Figure 15 is a schematic diagram of the structure of a terminal device provided in an embodiment of this application.

[0035] Figure 16 is a schematic diagram of the structure of a terminal device provided in another embodiment of this application.

[0036] Figure 17 is a schematic diagram of the structure of a network device provided in an embodiment of this application.

[0037] Figure 18 is a schematic diagram of the structure of a network device provided in another embodiment of this application.

[0038] Figure 19 is a schematic structural diagram of the communication device provided in an embodiment of this application. Detailed Implementation

[0039] Communication system architecture

[0040] Figure 1 is a system architecture example diagram of a wireless communication system 100 to which embodiments of this application can be applied. The wireless communication system 100 may include a network device 110 and a terminal device 120. The network device 110 may be a device that communicates with the terminal device 120. The network device 110 may provide communication coverage for a specific geographical area and may communicate with the terminal device 120 located within that coverage area.

[0041] Figure 1 illustrates an exemplary network device and two terminal devices. Optionally, the wireless communication system 100 may include multiple network devices, and each network device may include other numbers of terminal devices within its coverage area. This application embodiment does not limit this.

[0042] Optionally, the wireless communication system 100 may also include other network entities such as a network controller and a mobility management entity, which is not limited in this embodiment.

[0043] It should be understood that the technical solutions of the embodiments of this application can be applied to various communication systems, such as: 5th generation (5G) systems or new radio (NR), long term evolution (LTE) systems or evolved universal terrestrial radio access (E-UTRA) systems, LTE frequency division duplex (FDD) systems, LTE time division duplex (TDD) systems, global system for mobile communications (GSM), wideband code division multiple access (WCDMA) systems, etc. The technical solutions provided in this application can also be applied to future communication systems, such as sixth-generation mobile communication systems, satellite communication systems, etc.

[0044] The terminal device in this application embodiment can also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station (MS), mobile terminal (MT), remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent, or user device. The terminal device in this application embodiment can be a device that provides voice and / or data connectivity to a user, and can be used to connect people, objects, and machines, such as a handheld device with wireless connectivity, vehicle-mounted device, etc. The terminal devices in the embodiments of this application can be mobile phones, tablets, laptops, PDAs, mobile internet devices (MIDs), wearable devices, virtual reality (VR) devices, augmented reality (AR) devices, wireless terminals in industrial control, self-driving, remote medical surgery, smart grids, transportation safety, smart cities, and smart homes, etc. Optionally, the UE can act as a base station. For example, the UE can act as a scheduling entity, providing sidelink signals between UEs in V2X or D2D, etc. For example, cellular phones and cars communicate with each other using sidelink signals. Cellular phones and smart home devices communicate without relaying communication signals through a base station.

[0045] The network device in this application embodiment can be a device for communicating with a terminal device. This network device can also be called an access network device or a wireless access network device, such as a base station. In this application embodiment, the network device can refer to a radio access network (RAN) node (or device) that connects the terminal device to the wireless network. A base station can broadly encompass, or be replaced by, various names including: NodeB, evolved NodeB (eNB), next-generation NodeB (gNB), relay station, transmitting and receiving point (TRP), transmitting point (TP), master MeNB, auxiliary SeNB, multi-mode radio (MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, etc. A base station can be a macro base station, micro base station, relay node, donor node, or similar, or a combination thereof. A base station can also refer to a communication module, modem, or chip installed within the aforementioned equipment or apparatus. Base stations can also be mobile switching centers, devices that perform base station functions in device-to-device (D2D), vehicle-to-everything (V2X), and machine-to-machine (M2M) communications, network-side devices in 6G networks, and devices that perform base station functions in future communication systems. Base stations can support networks using the same or different access technologies. The embodiments of this application do not limit the specific technologies or device forms used in the network equipment.

[0046] Base stations can be fixed or mobile. For example, a helicopter or drone can be configured to act as a mobile base station, and one or more cells can move depending on the location of the mobile base station. In other examples, a helicopter or drone can be configured as a device to communicate with another base station.

[0047] In some deployments, the network device in this application embodiment may refer to a CU or a DU, or the network device may include both a CU and a DU. The gNB may also include an AAU.

[0048] Network devices and terminal devices can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; and they can also be deployed in the air on airplanes, balloons, and satellites. This application does not limit the scenario in which the network devices and terminal devices are located.

[0049] It should be understood that all or part of the functions of the communication device in this application can also be implemented by software functions running on hardware, or by virtualization functions instantiated on a platform (e.g., a cloud platform).

[0050] RRM measurement configuration

[0051] Terminal equipment can perform RRM measurements according to the measurement configuration of RRM measurement. The measurement configuration of RRM measurement can include intra-frequency measurement configuration, inter-frequency measurement configuration, and inter-radio access technology (inter-RAT) measurement configuration. Inter-RAT measurement configuration can also be referred to as or understood as inter-system measurement configuration.

[0052] Same-frequency measurement configurations can be used for same-frequency measurements. Same-frequency measurement means that the frequency point measured by the terminal device is the same as the frequency point (center frequency) of the serving cell of the terminal device. Different-frequency measurement configurations can be used for different-frequency measurements. Different-frequency measurement means that the frequency point measured by the terminal device is different from the frequency point of the serving cell of the terminal device. Different-system measurement configurations can be used for different-system measurements. Different-system measurement means that the frequency point measured by the terminal device is in a different system than the frequency point of the serving cell of the terminal device. Figures 2 to 4 show the measurement types corresponding to different measurement reference signals. Figures 2 and 3 are examples of measurement types corresponding to the synchronization signal block (SSB) as the measurement reference signal. In the examples of Figures 2 and 3, the measurements of cell 1 and cell 2 by the terminal device are same-frequency measurements, while the measurement of cell 3 by the terminal device is a different-frequency measurement. Figure 4 is an example of the measurement type corresponding to the channel state information reference signal (CSI-RS) as the measurement reference signal. In the example in Figure 4, the terminal device's measurements of cell 1 and cell 2 are in-frequency measurements, while the terminal device's measurements of cell 3 are out-of-frequency measurements.

[0053] The measurement configuration for RRM measurements may include one or more of the following: measurement target, reporting configuration, measurement identifier, reference signal configuration, measurement interval (gap) configuration, etc. In some embodiments, the reporting configuration can be used to configure the relevant settings for the terminal device to report measurement results. For example, the reporting configuration may include one or more of the following: reporting type (such as periodically triggered reporting, event-triggered reporting), condition-triggered configuration, cell global identifier (CGI) reporting, etc.

[0054] In some embodiments, the measurement configuration for RRM measurements can be carried in radio resource control (RRC) signaling. For example, a network device can send the RRM measurement configuration to a terminal device via RRC signaling over the air interface. The terminal device can then measure the cell signal based on this configuration and report the measurement results to the network device according to the reporting configuration, allowing the network device to make decisions such as handover. It should be noted that the embodiments of this application do not limit the measurement quantities measured by the terminal device. Exemplarily, the measurement quantities measured by the terminal device may include one or more of the following: reference signal received power (RSRP), reference signal received quality (RSRQ), and signal to interference plus noise ratio (SINR).

[0055] To facilitate understanding, the following example uses the NR system to illustrate the measurement configuration for RRM measurements. In the NR system, the measurement configuration for RRM measurements can be indicated using the parameter MeasConfig. As one implementation, MeasConfig can be configured via RRC signaling Measgapconfig and MeasObjectNR(MO), i.e., gap configuration and MO addition.

[0056] MeasConfig includes information such as: measurement target (measObject), reporting configuration (reportConfig), measurement identifier (measId), reference signal configuration (s-MeasureConfig), and measurement interval configuration (measGapConfig). The specific information elements included in MeasConfig are shown below.

[0057] RRM measurement reference signal

[0058] For wireless mobile communication systems, accurate measurement of cell quality and beam quality is fundamental to the effective execution of radio resource management and mobility management. For 5G NR, two main types of reference signals (RS) are currently considered for measurement: SSB and CSI-RS.

[0059] For SSB measurements, network devices can configure SSB measurement resources (i.e., SSB-based measurement configurations) for terminal devices via higher-layer signaling, enabling the terminal devices to perform corresponding measurement operations. The SSB-based measurement configurations configured by the network device for the terminal device are shown in Figure 5. As shown in Figure 5, the network device can configure one or more SSB-based measurement configurations for the terminal device. Each SSB-based measurement configuration may include one or more of the following configurations: SSB frequency point, SSB subcarrier spacing, SSB measurement timing configuration (SMTC), and reference signal configuration. It should be understood that SSB-based measurement configurations may include other configurations besides those listed above; these other configurations will not be detailed in this embodiment.

[0060] The SSB frequency point mentioned above refers to the center frequency point location of the SSB to be measured.

[0061] The aforementioned SSB subcarrier spacing refers to the subcarrier spacing information of the SSB. This application does not limit the SSB subcarrier spacing in its embodiments. For example, the SSB subcarrier spacing may include one of the following: 15kHz, 30kHz, 60kHz, 120kHz, etc.

[0062] The aforementioned SMTC refers to the time-domain resource configuration information for SSB measurements. Network devices can configure one or more SMTCs (such as a first SMTC, a second SMTC, etc.) for terminal devices within a single measurement configuration. SMTCs are primarily used to configure a set of measurement time windows based on SSB measurements. Network devices can configure (or adjust) parameters such as the size, position, and period of this measurement time window for the terminal device through the SMTC. For example, referring to Figure 6, the network device can configure the size (e.g., 5 milliseconds), period (e.g., 40 milliseconds), and time-domain position of this measurement time window through the SMTC. It should be noted that SSBs other than those configured by the terminal device are not considered for RRM measurements.

[0063] The aforementioned reference signal configuration may include an SSB configuration and / or a CSI-RS configuration. In an SSB-based measurement configuration, the reference signal configuration includes an SSB configuration. This SSB configuration may include one or more of the following indication information: SSB indication to be measured, auxiliary timing information indication, and received signal strength indication (RSSI) measurement configuration.

[0064] RRM measurement interval

[0065] RRM measurement gaps (or simply gaps) can be used by terminal devices to perform RRM measurements, such as inter-frequency RRM measurements. In some embodiments, the configuration of the gap is related to the frequency range (FR) supported by the terminal device. Taking an NR system as an example, the operating frequency range of the terminal device includes not only FR1 below 6 GHz but also the millimeter-wave band FR2 above 6 GHz. Depending on whether the terminal device supports FR1 / FR2, the gap can include gaps per terminal device (per UE) and gaps per FR, that is, gaps can include gapFR1, gapFR2, and gapUE.

[0066] In some embodiments, the terminal device also introduces an independent gap capability indicator, which can be used to indicate whether gaps of different frequency ranges can be configured, for example, whether gaps per FR1 / per FR2 can be configured. In some embodiments, if the terminal device supports the independent gap capability, then the corresponding FR1 and FR2 measurements of the terminal device can be performed independently and without affecting each other.

[0067] In some embodiments, capability indication can be provided via the parameter independentGapConfig.

[0068] The parameter configuration for RRM measurement intervals generally includes one or more of the following parameters: measurement gap length, measurement gap repetition period, measurement gap timing advance, and gap offset. Measurement gap length (MGL) characterizes the length of the measurement interval. Measurement gap repetition period (MGRP) characterizes the period of the measurement interval. Measurement gap timing advance (MGTA) characterizes the timing advance of the measurement interval. Gap offset characterizes the time-domain offset of the measurement interval, with a value ranging from 0 to MGRP-1.

[0069] The value ranges of each parameter in the RRM measurement interval configuration are shown in Table 1. As shown in Table 1, the value ranges for MGL are 1.5 milliseconds (ms), 3 ms, 3.5 ms, 4 ms, 5.5 ms, and 6 ms. The value ranges for MGRP are 20 ms, 40 ms, 80 ms, and 160 ms. The value range for MGTA is 0 ms, 0.25 ms, and 0.5 ms. The interval offset ranges from 0 to 159, and the maximum value of the interval offset does not exceed the configured MGRP.

[0070] Table 1

[0071] The terminal device can determine (e.g., calculate) the system frame number (SFN) and subframe number of the first subframe in each measurement interval based on the RRM measurement interval parameter configuration. Here, SFN mod T = FLOOR(gapOffset / 10), T = MGRP / 10, and subframe number = gapOffset mod 10. The terminal device needs to initiate the measurement before the MGTA in the first subframe of that measurement interval.

[0072] RRM measurement intervals can correspond to one or more gap patterns, which can be used to indicate RRM measurement interval configurations. For example, one gap pattern can correspond to one MGL and one MGRP. As shown in Figure 7, in the NR system, RRM measurement intervals can include 24 gap patterns, of which gap patterns 0-11 can be used for FR1 measurement interval configurations, and gap patterns 12-23 can be used for FR2 measurement interval configurations.

[0073] RRM measurement time requirements

[0074] The RRM measurement time requirements for terminal devices may differ depending on their RRC state. The following sections describe the RRM measurement time requirements for terminal devices in RRC idle / inactive states and RRC connected states. First, we will describe the RRM measurement time requirements for terminal devices in RRC idle / inactive states.

[0075] For terminal devices in the RRC idle / inactive state, performing RRM measurements can be used for cell reselection. The types of RRM measurements for terminal devices in the RRC idle / inactive state are described below with reference to Figure 8.

[0076] Figure 8 illustrates the NR system (or E-UTRA) as an example. As shown in Figure 8, taking mobility in the RRC idle state under the standalone network deployment mode as an example, the measurement types can be divided according to the relationship between the measurement frequency and the frequency of the serving cell: measurement and evaluation of serving cell, measurements of intra-frequency NR( / E-UTRA) cells, measurements of inter-frequency NR( / E-UTRA) cells, and measurements of inter-RAT NR( / E-UTRA) cells.

[0077] Serving cell measurement and evaluation refers to measuring the frequency of the serving cell, i.e., the frequency of the current serving terminal device. Taking Figure 8 as an example, serving cell measurement and evaluation may include the measurement of frequency 1 (f1) / frequency 2 (f2) of NR terminal device 1, or the measurement of frequency 1' (f1') of NR terminal device 2, or the measurement of frequency 4 (f4) of dual-connectivity terminal device in NR system or frequency 5 (f5) in E-UTRA system.

[0078] Intra-frequency measurement, also known as intra-band measurement, refers to measuring different frequency points within the same frequency band. Taking Figure 8 as an example, intra-band measurement can include the measurement of f1 and f1' by a terminal device (such as terminal device 1 or terminal device 2) in NR cell 1.

[0079] Inter-band cell measurement, also known as inter-frequency measurement, refers to measuring different frequency points within different frequency bands. Taking Figure 8 as an example, inter-band cell measurement can include the measurement of f3 / f4 by terminal device 2.

[0080] Inter-system measurement (i.e., cross-system measurement) refers to measuring the frequency points of networks with different standards, such as measuring the frequency points of different standards like GSM / WCDMA / E-UTRA / NR. Taking Figure 8 as an example, inter-system measurement can include the measurement of f5 in the E-UTRA system by terminal device 1 or terminal device 2.

[0081] Figure 9 shows the measurement time window of a terminal device in an idle or inactive state. As can be seen from Figure 9, the measurement time window of a terminal device in an idle or inactive state needs to satisfy T... detect T measure T evaluate Measurement time requirements. The following example uses same-frequency measurement in an NR system to illustrate the T... detect T measure T evaluate The parameters will be introduced, and the corresponding T values ​​for other measurement types will also be discussed. detect T measure T evaluate The definitions of other parameters are similar and will not be repeated here.

[0082] In intra-frequency measurement scenarios, the terminal device can identify new intra-frequency cells and measure the synchronization signal RSRP (SS-RSRP) and synchronization signal RSRQ (SS-RSRQ) at a specified frequency. The terminal device can then evaluate whether a newly detectable intra-frequency cell meets the cell reselection criteria. The detection time of the terminal device is T. detect,NR_Intra The terminal equipment can measure the SS-RSRP and SS-RSRQ of intra-frequency cells, with a measurement period of T. measure,NR_Intra .

[0083] In some embodiments, for co-frequency cells that have been detected but not yet reselected, the terminal device should evaluate the measurement data of the cell for filtering within the Tevaluate,NR_Intra time period.

[0084] In some embodiments, the terminal device needs to filter the SS-RSRP and SS-RSRQ (at least two sets) of each measured co-frequency cell, and these at least two sets of measurements should be spaced at least T apart. measure,NR_Intra / 2 This period of time.

[0085] In some embodiments, if the serving cell indicates (e.g., in the measurement and control system information) that the terminal device undergoing cell reselection does not perform neighbor cell measurements, then the terminal device does not consider the frequency point measurement of neighbor cells.

[0086] For terminal devices in RRC connected state, the measurement types performed by the terminal device can include same-frequency measurement, different-frequency measurement, and different-system measurement. Among these, for same-frequency measurement, the RRM measurement of the terminal device can include measurements requiring a gap and measurements without a gap. Table 2 shows the measurement period corresponding to FR1 measurements without a gap. Table 3 shows the measurement period corresponding to FR1 measurements with a gap. As can be seen from Tables 2 and 3, the measurement periods corresponding to measurement scenarios without a gap and measurement scenarios with a gap are different. Taking the FR1 scenario without configured discontinuous reception (DRX) as an example, the measurement period corresponding to the scenario without a gap is max(200ms, ceil(5*Kp)*SMTC period)*CSSF. intra The measurement period for scenarios requiring a gap is max(200ms, 5*max(MGRP, SMTC period))*CSSF. intra .

[0087] Table 2

[0088] Table 3

[0089] As can be seen from the above description, terminal equipment can scale the RRM measurement time. Taking SSB-based measurements as an example, measurement time scaling can be divided into two categories: one is measurement time scaling applicable only to measurements without gaps, and this scaling factor is characterized by Kp; the other is time scaling applicable to multi-carrier measurements within and outside gaps for terminal equipment with carrier aggregation capabilities, and this scaling factor is characterized by the carrier-specific scaling factor (CSSF). The CSSF can be applied to relax the measurement time (including cell identification and measurement period) for various intra-frequency or inter-frequency measurements.

[0090] In some embodiments, the measurement time scaling is to meet certain measurement accuracy requirements (such as the measurement accuracy of RSRP, RSRQ, and SINR). Among them, when the terminal device performs intra-frequency measurement or inter-frequency measurement, it needs to obtain sufficient reference signal samples within the unit measurement time and report the relevant measurement results to the network device after evaluation. Since the intra-frequency measurement or inter-frequency measurement supports measurements with or without gaps configured, therefore, the corresponding SMTC and gap may not completely overlap. FIG. 10 shows the relationship between SMTC and gap. It can be seen from FIG. 10 that SMTC and gap may completely overlap, partially overlap, or not overlap.

[0091] Considering the overlapping relationship between the current SMTC and the gap configured by the network device (such as per-terminal device or per-FR gap), there are three cases of non-overlap, complete overlap, or partial overlap between the length (and / or period) of the measurement reference signal and the length (and / or period) of the gap. Therefore, the measurement period needs to define different requirements for the scaling time respectively to meet the measurement accuracy requirements.

[0092] In some embodiments, the definition of the measurement time scaling factor Kp applicable to intra-frequency measurement (or inter-frequency measurement) without gaps satisfies the following conditions. If the SMTC is entirely within the gap or entirely outside the gap, then the intra-frequency measurement without measuring the gap is either entirely within the gap or entirely outside the gap, and no additional relaxation is required, that is, Kp = 1. If the SMTC partially overlaps with the gap and the SMTC period < MGRP, then the intra-frequency measurement without the gap needs to lengthen the measurement time to ensure a sufficient number of samples of the measurement reference signal. In this case, the lengthening multiple Kp = 1 / (1 - (SMTC period / MGRP)). For the case where the SMTC partially overlaps with the gap and the SMTC period > MGRP, the protocol does not clearly define the time requirements for terminal device measurement, which belongs to the category of terminal device implementation.

[0093] In some embodiments, for the time scaling of multi-carrier measurements inside and outside the gap, according to the measurements outside the gap and the measurements inside the gap (including intra-frequency measurement or inter-frequency measurement), the time scaling factor can be divided into CSSF outside_gap and CSSF within_gap .

[0094] CSSF outside_gap is applicable to terminal devices that allow measurements outside the gap. CSSF outside_gap refers to the relaxation adjustment of the measurement time of the terminal device when the SMTC configured for the measurement without the gap of the terminal device partially overlaps or does not overlap with the gap configured for the current terminal device.

[0095] When a terminal device has carrier aggregation (CA) capability, it is assumed that the terminal device can handle measurements of a maximum of two carriers simultaneously. When the terminal device needs to simultaneously measure the same, different, or different system frequencies of multiple carriers, a scaling factor (CSSF) for the measurement time can be defined based on the number of carriers being measured. outside_gap This is used to relax the measurement time for measurements at the same or different frequencies. Taking the independent network deployment mode as an example, Table 4 gives the corresponding measurement time relaxation factor (CSSF) on the FR1 or FR2 primary or secondary carriers. outside_gap For requirements under other modes, please refer to section 9.1.5.1 of TS 38.133.

[0096] Table 4

[0097] CSSF within_gap This method is applicable to measurements where the terminal equipment requires a gap configuration, or to measurements at the same or different frequency points that do not require a gap. In cases where the configured SMTC completely overlaps with the gap configuration of the current PE terminal equipment or per FR, the measurement time of the terminal equipment is relaxed and adjusted. The gap-sharing scheme (measGapSharingScheme) configured on the current terminal equipment, and the number of same-frequency or different-frequency measurement objects that need to be measured within the gap, jointly determine the CSSF. within_gap For example, when the gap sharing scheme is evenly distributed, the scaling factors for same-frequency and different-frequency measurements are the same, and the CSSF corresponding to measurement object i is... within_gap,i This represents the maximum number of objects (max(M)) configured in the same gap as the measured object i within 160ms (maximum {160 / MGRP-1} gaps). tot,i,j The product of ()) and Ri, where Ri represents the ratio of the number of gaps configured for the measurement object i to the number of gaps removed from the positioning measurements used for a specific configuration. It should be noted that these positioning measurement gaps are considered separately (related specific configuration requirements can be found in section 9.1.5.2 of protocol specification TS 38.133). Similarly, when configuring other measurement gap sharing schemes, the scaling factors for corresponding same-frequency and different-frequency (or different-system) measurement times can be obtained (see section 6.4.4 K for details). intra and K inter Then, the measurement time scaling (CSSF) within the gap is calculated for both same-frequency and different-frequency (or different-system) measurement objects. within_gap .

[0098] AI mobility prediction

[0099] In AI mobility projects, when AI / machine learning (ML) models are deployed on the terminal device side, the terminal device needs to measure signal quality according to the network-side measurement configuration (MeasConfig), and use the measurement results as input to the AI / ML model to obtain the predicted RSRP / RSRQ results, which are then reported to the network side. Currently, AI / ML prediction has two main purposes. One is to predict measurement values ​​for a future period based on historical measurement information, thereby anticipating future events and preparing accordingly. The other is to reduce the number of measurements required in the time domain and fill in the missing actual measurement values ​​through AI prediction. For example, instead of measuring RSRP values ​​in four time slots (1, 2, 3, and 4), only time slots 1 and 3 need to be measured, and the AI / ML model can predict the values ​​in time slots 2 and 4. This effectively reduces the measurement overhead and energy consumption of the terminal device without compromising mobility performance.

[0100] The introduction of AI mobility prediction will affect RRM measurement requirements (such as measurement accuracy requirements, measurement time requirements, etc.), making the current RRM measurement requirements no longer applicable.

[0101] To address the aforementioned issues, embodiments of this application consider RRM prediction errors when determining RRM measurement requirements. In this way, in mobility prediction scenarios, terminal devices can also perform RRM measurements based on measurement requirements that take RRM prediction errors into account, thereby improving the applicability of RRM measurement requirements. The method embodiments of this application will be described below.

[0102] Figure 11 is a schematic flowchart of a method for wireless communication provided in an embodiment of this application. The method shown in Figure 11 can be executed by a terminal device, such as the terminal device 120 shown in Figure 1. The method shown in Figure 11 may include step S1110, which will be described below.

[0103] In step S1110, the terminal device performs RRM measurement based on the first parameter.

[0104] In this embodiment of the application, the first parameter can be used to indicate the measurement requirements (or RRM measurement requirements) of the RRM measurement. This embodiment of the application does not specifically limit the measurement requirements indicated by the first parameter. Exemplarily, the measurement requirements indicated by the first parameter may include one or more of the following: measurement accuracy requirements, measurement time requirements, measurement reference signal requirements, measurement frequency requirements, etc.

[0105] In some embodiments, measurement accuracy requirements can be used to indicate the accuracy requirements of RRM measurement results (such as the accuracy of the measurement results). For example, measurement accuracy requirements can be used to indicate the accuracy of RSRP. As another example, measurement accuracy requirements can be used to indicate the accuracy of RSRQ.

[0106] In some embodiments, the measurement time requirement can be used to define a time window for the terminal device to perform RRM measurements. For example, the measurement time requirement can be used to indicate the measurement period for the terminal device to perform RRM measurements. However, this application is not limited to this. For example, the measurement time requirement can be used to define a measurement gap for the terminal device to perform RRM measurements. As another example, the measurement time requirement can be used to define the measurement time configuration (such as SMTC) of the reference signal used by the terminal device when performing RRM measurements.

[0107] In some embodiments, the measurement reference signal requirement can be used to define the reference signal used by the terminal device to perform RRM measurements. For example, the measurement reference signal requirement can be used to indicate the type of reference signal used by the terminal device to perform RRM measurements, the measurement timing configuration of the reference signal, the RSSI measurement configuration of the reference signal, etc.

[0108] In some embodiments, the measurement frequency requirement can be used to indicate the frequency points, subcarrier spacing, etc., that the terminal device measures. For example, the measurement frequency requirement can indicate which same-frequency points, different-frequency points, different-system frequencies, etc., the terminal device measures.

[0109] In some embodiments, the first parameter may be used to indicate one of the measurement requirements described above. As an example, the first parameter may be used to indicate the measurement accuracy requirement for RRM measurements. As another example, the first parameter may be used to indicate the measurement time requirement for RRM measurements. As yet another example, the first parameter may be used to indicate the measurement reference signal requirement for RRM measurements. As yet another example, the first parameter may be used to indicate the measurement frequency requirement for RRM measurements.

[0110] In some embodiments, the first parameter can be used to indicate multiple of the above-described measurement requirements. As an example, the first parameter can be used to indicate the measurement accuracy requirement and measurement time requirement for RRM measurement. As another example, the first parameter can be used to indicate the measurement accuracy requirement and measurement reference signal requirement for RRM measurement. As yet another example, the first parameter can be used to indicate the measurement accuracy requirement and measurement frequency requirement for RRM measurement. As yet another example, the first parameter can be used to indicate the measurement accuracy requirement, measurement time requirement, and measurement reference signal requirement for RRM measurement. It should be understood that the above combinations are merely examples, and this application is not limited to the listed combinations. For the sake of brevity, other combinations are not listed individually.

[0111] This application does not specifically limit the first parameter, as long as it is used to indicate the measurement requirements of RRM measurement. For example, the first parameter may include one or more of the following: first measurement accuracy, first measurement time window, first measurement interval, and first measurement reference signal.

[0112] In some embodiments, the first measurement accuracy can be used to indicate the accuracy of the RRM measurement result. Taking the measured quantity corresponding to the first measurement accuracy as RSRP as an example, the first measurement accuracy can indicate the accuracy of RSRP as ±K decibels (dB), where K is an arbitrary value.

[0113] In some embodiments, the first measurement time window can be used to indicate the measurement period during which the terminal device performs RRM measurements.

[0114] In some embodiments, the determination of the first measurement time window is related to one or more of the following: measurement type, whether a measurement interval is required, and whether DRX is configured. In some embodiments, the measurement type may include same-frequency measurement, different-frequency measurement, different-system measurement, etc.

[0115] As an example, the methods for determining the first measurement time window for same-frequency measurements and different-frequency measurements are different.

[0116] As another example, in the same frequency measurement scenario, the determination method for the first measurement time window corresponding to the required measurement interval and the non-required measurement interval is different.

[0117] As another example, in the same frequency measurement scenario, the method for determining the first measurement time window is different for those with DRX configured and those without.

[0118] In some embodiments, the first measurement interval may be used to indicate the measurement gap at which the terminal device performs RRM measurements.

[0119] In some embodiments, the first measurement reference signal may be used to indicate the configuration of the reference signal used by the terminal device to perform RRM measurements. For example, the first measurement reference signal may be used to indicate the type of reference signal used by the terminal device to perform RRM measurements, the reference signal measurement time configuration (such as SMTC), etc.

[0120] In some embodiments, the first parameter may include one of the parameters described above. As an example, the first parameter includes a first measurement accuracy. As another example, the first parameter includes a first measurement time window. As yet another example, the first parameter includes a first measurement interval. As yet another example, the first parameter includes a first measurement reference signal.

[0121] In some embodiments, the first parameter may include multiple parameters as described above. As an example, the first parameter may include a first measurement accuracy and a first measurement time window. As another example, the first parameter may include a first measurement accuracy and a first measurement interval. As yet another example, the first parameter may include a first measurement accuracy, a first measurement time window, a first measurement reference signal, etc. For the sake of brevity, other combinations are not listed.

[0122] In some embodiments, the first parameter may include other parameters besides those listed above, and this application embodiment is not limited in this regard. For example, the first parameter may also include the test sample size, training sample size, etc., used by the terminal device to perform RRM prediction.

[0123] In the embodiments of this application, the determination of the first parameter is related to (or associated with) the RRM prediction error. That is, the embodiments of this application take into account the RRM prediction error when determining the first parameter. For example, the first parameter may be determined based on the RRM prediction error.

[0124] In some embodiments, the determination of the first parameter in relation to the RRM prediction error may mean that, taking into account the RRM prediction error, the first parameter may be scaled relative to the original first parameter when determining the first parameter.

[0125] As one possible approach, considering the RRM prediction error, the original first parameter can be relaxed when determining the first parameter. Taking the first parameter including the first measurement accuracy as an example, assuming the first measurement accuracy without considering the RRM prediction error is A, then the first measurement accuracy considering the RRM prediction error may be B, and the absolute value of B is greater than the absolute value of A.

[0126] As another possible implementation, considering the RRM prediction error, the original first parameter can be reduced when determining the first parameter. Taking the first parameter including the first measurement accuracy as an example, assuming the first measurement accuracy without considering the RRM prediction error is A, then the first measurement accuracy considering the RRM prediction error may be C, and the absolute value of C is less than the absolute value of A.

[0127] This application does not limit the implementation method of determining the first parameter based on the RRM prediction error. One implementation method is to multiply the first parameter by a scaling factor, which can be greater than or less than 1, based on the parameter without considering the RRM prediction error. Another implementation method is to add an RRM prediction error to the first parameter without considering the RRM prediction error; this RRM prediction error can be positive or negative.

[0128] This application does not limit the method of obtaining the first parameter in its embodiments. In some embodiments, the first parameter may be configured by the network device. In some embodiments, the first parameter may be pre-configured or pre-defined; for example, the first parameter may be pre-defined by the protocol.

[0129] In some embodiments, the first parameter is determined based on the capabilities of the terminal device. For example, if the first parameter is network device configuration, the terminal device can send first capability information to the network device so that the network device can configure the first parameter based on this first capability information. Alternatively, if the first parameter is a protocol predefined value, the protocol can define different first parameters based on the capabilities of different terminal devices. For instance, the first parameter for a low-capability terminal device might be relaxed compared to the first parameter for a high-capability terminal device.

[0130] In some embodiments, the first capability information described above can be used to indicate the RRM measurement capabilities of the terminal device. This application embodiment does not limit the first capability information sent by the terminal device to the network device. Exemplarily, the first capability information may include one or more of the following: measurement types supported by the terminal device; measurement intervals supported by the terminal device; and measurement accuracies supported by the terminal device. For relevant descriptions of measurement types, measurement intervals, and measurement accuracies, please refer to the above text, and they will not be repeated here.

[0131] To facilitate understanding, the first parameter will be explained in more detail below, taking the first measurement accuracy and the first measurement time window as examples.

[0132] Example 1: The first parameter includes the first measurement accuracy.

[0133] In some embodiments, the first measurement accuracy can be used to indicate the measurement accuracy determined based on RRM prediction error. That is, the first measurement accuracy can refer to the measurement accuracy scaled down from the measurement accuracy determined without considering RRM prediction error (i.e., in non-AI / ML prediction scenarios). Taking the measurement accuracy determined without considering RRM prediction error as A, the first measurement accuracy can refer to the measurement accuracy B obtained by scaling A.

[0134] In some embodiments, the first measurement accuracy can be indicated by a first difference (i.e., a Δ value). The first difference can be used to indicate the difference between the measurement accuracy determined based on RRM prediction error and the measurement accuracy determined without considering RRM prediction error; that is, the first difference can be used to indicate the Δ value of the measurement accuracy determined based on RRM prediction error relative to the measurement accuracy without considering RRM prediction error. In other words, the first measurement accuracy can indicate the scaling of the measurement accuracy determined considering RRM prediction error relative to the measurement accuracy determined without considering RRM prediction error. Taking the measurement accuracy determined without considering RRM prediction error as A as an example, when the first measurement accuracy is indicated by the first difference, the first measurement accuracy can be determined by A ± the first difference.

[0135] In some embodiments, the first measurement accuracy described above may be greater than or equal to the measurement accuracy determined without considering RRM prediction errors. That is, the first measurement accuracy may be relaxed relative to the measurement accuracy determined without considering RRM prediction errors, which is beneficial for shortening the measurement time of the terminal device and reducing the power consumption of the terminal device.

[0136] In some embodiments, the first measurement accuracy described above may be less than the measurement accuracy determined without considering RRM prediction errors. That is, the first measurement accuracy can be improved relative to the measurement accuracy determined without considering RRM prediction errors, which is beneficial for improving the accuracy of RRM predictions. In other words, in some embodiments, to ensure that the prediction accuracy of the model output meets requirements, the RRM measurement accuracy (i.e., the measurement accuracy of the model input) can be improved.

[0137] In some embodiments, the RRM prediction accuracy can be improved by increasing the number of training samples.

[0138] In some embodiments, the RRM prediction accuracy can be improved by adjusting the boundary conditions of the training samples. For example, the RRM prediction accuracy can be improved by setting higher boundary conditions to filter out some edge samples.

[0139] In some embodiments, the accuracy of RRM prediction can be improved by increasing the number of test samples.

[0140] In some embodiments, after increasing the number of test samples, the terminal device may need more reference signal samples (such as SSB samples).

[0141] In some embodiments, increasing the number of test samples may result in a longer measurement time for the terminal device in a given RRM measurement requirement. This is because the terminal device may need to measure a larger number of reference signal samples.

[0142] In some embodiments, increasing the number of test samples may reduce the time required for a single measurement by the terminal device to meet the corresponding RRM measurement requirements. For example, adjusting the boundary value of the measurement time in Table 2 or Table 3 from 200 milliseconds to a lower value may reduce the time required for a single measurement by the terminal device to meet the corresponding RRM measurement requirements.

[0143] In some embodiments, after determining the first measurement accuracy, the terminal device may also determine other parameters (or information) related to performing RRM measurement and / or RRM prediction based on the first measurement accuracy. For example, the terminal device may determine one or more of the following based on the first measurement accuracy: a first measurement time window corresponding to the terminal device performing RRM measurement, test samples for the terminal device performing RRM prediction, and training samples for the terminal device performing RRM prediction.

[0144] The terminal device can determine a first measurement time window based on a first measurement accuracy. In this way, when the terminal device performs RRM measurement in an RRM prediction scenario, the time for performing the RRM measurement does not exceed the first measurement time window. In some embodiments, the first measurement time window can be smaller than the measurement time window determined without considering RRM prediction errors. In this case, the time for the terminal device to perform RRM measurement can be shortened, reducing the power consumption of the terminal device. In some embodiments, the first measurement time window can be larger than the measurement time window determined without considering RRM prediction errors. In this case, the RRM prediction accuracy can be improved.

[0145] The terminal device can determine the test samples for performing RRM prediction based on a first measurement accuracy, such as determining the number of test samples or specific test sample data. In this way, the terminal device can perform RRM prediction based on these test samples. In some embodiments, more test samples can be used for RRM prediction, which is beneficial for improving RRM prediction accuracy.

[0146] The terminal device can determine the training samples for performing RRM prediction based on the first measurement accuracy, such as determining the number of training samples or the specific training sample data. In this way, the terminal device can train the RRM prediction model based on these training samples. In some embodiments, fewer training samples can be used for RRM prediction, which helps to shorten the time the terminal device takes to perform RRM measurements and reduce the power consumption of the terminal device. In some embodiments, more training samples can be used for RRM prediction, which helps to improve the accuracy of RRM prediction.

[0147] In some embodiments, the terminal device determining the above parameters based on the first measurement accuracy may include: the terminal device determining one or more of the above parameters based on the first measurement accuracy and the RRM prediction model (or RRM measurement prediction model) on the terminal device side.

[0148] Example 2: The first parameter includes a first measurement time window

[0149] In some embodiments, the first measurement time window can be used for the terminal device to perform RRM measurement and / or RRM prediction during the RRM prediction process. That is, the terminal device needs to complete both RRM measurement and RRM prediction within the first measurement time window. Alternatively, the first measurement time window refers to the longest time the terminal device takes to complete measurements (including RRM measurement and RRM prediction) in an RRM prediction scenario.

[0150] As shown in Figure 12, in the RRM prediction scenario, the measurement time of the terminal device can include the actual measurement time window (or observation window, OW) and the prediction time window (PW). The actual measurement time window is the time window during which the terminal device performs RRM measurements during the RRM prediction process, and its length is generally recommended to be 40-2000 milliseconds. The prediction time window is the time window during which the terminal device performs RRM predictions during the RRM prediction process, and its length is generally recommended to be 40-800 milliseconds.

[0151] In some embodiments, the length of the first measurement time window can be greater than or equal to the sum of the first time length and the second time length, i.e., the length of the first measurement time window ≥ the first time length + the second time length. The first time length can be used to indicate the length of the time window during which the terminal device performs RRM measurement in the RRM prediction process, i.e., the first time length can refer to the length of OW. The second time length can be used to indicate the length of the time window during which the terminal device performs RRM prediction in the RRM prediction process, i.e., the second time length can refer to the length of PW. That is, in scenarios considering RRM prediction errors, the terminal device needs to meet the constraint of the first measurement time window, and the first measurement time window ≥ OW + PW. In scenarios not considering RRM prediction errors, the UE's RRM measurement window (RW) is the longest time the terminal device takes to complete RRM measurement, RW ≥ OW and RW ≥ PW.

[0152] The embodiments of this application do not limit the method for determining the first measurement time window. For example, the first measurement time window is configured by the network device. Another example is that the first measurement time window is pre-configured or predefined. Yet another example is that the first measurement time window can be determined by the terminal device based on the second and third measurement time windows. The second measurement time window can be used to indicate a measurement time window determined based on RRM prediction error. The third measurement time window can be used to indicate a measurement time window determined without considering RRM prediction error.

[0153] In some embodiments, the second measurement time window and / or the third measurement time window may be configured by the network device. In some embodiments, the second measurement time window and / or the third measurement time window may be pre-configured or predefined.

[0154] In some embodiments, determining the first measurement time window based on the second and third measurement time windows may include: the first measurement time window being the larger value between the second and third measurement time windows. In this way, in an RRM prediction scenario, when the terminal device performs RRM measurements based on the first measurement time window, it can meet both the latency requirements specified without considering RRM prediction errors and the latency requirements specified after considering RRM prediction errors.

[0155] In some embodiments, in the RRM prediction scenario, the first measurement accuracy determined by the terminal device is similar; that is, the first measurement accuracy can be the larger value between the measurement accuracy determined considering the RRM prediction error and the measurement accuracy determined without considering the RRM prediction error. In this way, in the RRM prediction scenario, when the terminal device performs RRM measurements based on the first measurement accuracy, it can meet both the accuracy requirements specified without considering the RRM prediction error and the latency requirements specified after considering the RRM prediction error.

[0156] The preceding text describes how a terminal device can perform RRM measurement based on a first parameter that takes into account RRM prediction error. This makes the first parameter applicable to RRM measurement in RRM prediction scenarios, shortens the measurement time of the terminal device, and reduces its power consumption. However, the embodiments of this application are not limited to this. For example, the embodiments of this application can also shorten the measurement time of the terminal device and reduce its power consumption by reducing the number of frequency points measured by the terminal device. This will be described below with reference to Embodiment 3. It should be noted that Embodiment 3 below can be used alone or in combination with the above-described scheme for RRM measurement based on the first parameter (for example, it can be used in combination with Embodiment 1 and / or Embodiment 2).

[0157] Example 3: Terminal devices reduce the frequency points of actual measurements

[0158] Figure 13 is a flowchart illustrating a method for wireless communication according to another embodiment of this application. The method shown in Figure 13 is described from the perspective of interaction between a terminal device and a network device, which can be, for example, the terminal device 120 and the network device 110 shown in Figure 1. The method shown in Figure 13 may include step S1310, which will be described below.

[0159] In step S1310, the terminal device sends the measurement results (or RRM measurement results) to the network device.

[0160] In this embodiment of the application, the measurement result includes the measurement result of the first frequency point and the measurement result of the second frequency point.

[0161] In some embodiments, the measurement result of the first frequency point is obtained by the actual measurement of the terminal device, while the measurement result of the second frequency point is predicted by the terminal device. In this way, the terminal device can meet the measurement requirements of the first frequency point (such as measurement time requirements, measurement accuracy requirements, etc.) while saving the measurement time required for measuring the second frequency point (such as measurement intervals, measurement time windows, etc.). Furthermore, predicting the measurement result of the second frequency point by the terminal device helps save on configuration signaling overhead, such as saving on the measurement intervals required for inter-frequency measurements. Additionally, in RRM prediction scenarios, because AI / ML models can process data in parallel using multiple threads, compared to the current scheme that uses at most two threads (or search units) to perform RRM measurements, the time required for AI / ML models to predict RRM measurement results is shorter, and the time scaling factor (such as CSSF) is reduced. outside_gap The value will decrease. Therefore, embodiments of this application facilitate relaxing the RRM measurement time (e.g., relaxing CSSF). outside_gap and / or CSSF within_gap For details, please refer to Figure 14. As shown in Figure 14, the terminal device can...PSS / SSS Internal detection synchronization signal, in T SSB_index The internal SSB is detected, and the RRM measurement is performed within the first measurement time window.

[0162] In some embodiments, the first frequency point is the same as the frequency point (such as the center frequency point) of the serving cell of the terminal device. That is, the terminal device can actually perform co-frequency measurements.

[0163] In some embodiments, the second frequency point satisfies one or more of the following: the second frequency point is the same as the frequency point of the serving cell of the terminal device; the second frequency point is different from the frequency point of the serving cell of the terminal device; the second frequency point is from a different system than the frequency point of the serving cell of the terminal device; or the second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

[0164] As an example, the second frequency point is the same as the frequency point of the serving cell of the terminal device. That is to say, the terminal device can predict the measurement results of the co-frequency points. For example, if the network device configures multiple co-frequency points to be measured for the terminal device, the terminal device can actually measure some of the co-frequency points to obtain the measurement results, while the measurement results of the other co-frequency points are predicted by the terminal device through an AI / ML model.

[0165] As another example, the second frequency point is different from the frequency point of the serving cell of the terminal device. That is to say, the terminal device can predict the measurement results of the different frequency point. For example, when the network device configures the same frequency point and different frequency point to the terminal device, both need to be measured. The terminal device can actually measure the same frequency point to obtain the measurement result, while the measurement result of the different frequency point is predicted by the terminal device through AI / ML model.

[0166] As another example, the second frequency point is from a different system than the serving cell of the terminal device. In other words, the terminal device can predict the measurement results for the frequency point from the different system. For instance, when configuring both co-frequency and different system frequencies for the terminal device, the network device needs to measure them. The terminal device can actually measure the co-frequency points to obtain the measurement results, while the measurement results for the different system frequencies are predicted by the terminal device using an AI / ML model.

[0167] As another example, the second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device. That is to say, the terminal device can predict the measurement results of the deactivated serving cell. For example, when the network device configures the co-frequency point and the frequency point of the deactivated serving cell to the terminal device, measurement is required. The terminal device can actually measure the co-frequency point to obtain the measurement result, while the measurement result of the frequency point of the deactivated serving cell is predicted by the terminal device through an AI / ML model.

[0168] As another example, the second frequency point includes multiple frequency points, some of which are the same as the frequency point of the serving cell, while others are different from the frequency point of the serving cell. In this scenario, the terminal device can actually measure a portion of the co-frequency points to obtain measurement results, while the measurement results of the other co-frequency points and the different frequency points are predicted by the terminal device through an AI / ML model.

[0169] In some embodiments, when the first frequency point and the second frequency point are both FR1 frequencies, the measurement result of the second frequency point can be predicted using the actual measurement result of the first frequency point. For example, when the first frequency point and the second frequency point are frequencies between FR1-FR1 co-frequency cells, the measurement result of the second frequency point can be predicted using the actual measurement result of the first frequency point. As another example, when the first frequency point and the second frequency point are frequencies between FR1-FR1 inter-frequency cells, the measurement result of the second frequency point can be predicted using the actual measurement result of the first frequency point.

[0170] In some embodiments, when the first frequency point and the second frequency point are FR2 frequencies, the measurement result of the second frequency point can be predicted using the actual measurement result of the first frequency point. For example, when the first frequency point and the second frequency point are frequencies between FR2-FR2 co-frequency cells, the measurement result of the second frequency point can be predicted using the actual measurement result of the first frequency point.

[0171] For ease of understanding, the priority of RRM prediction in different scenarios is shown below with reference to Table 5.

[0172] Table 5

[0173] In some embodiments, the measurement result at the second frequency point is predicted based on the measurement result at the first frequency point. That is, the measurement result at the first frequency point can be used as model input, and the measurement result at the second frequency point can be used as model output.

[0174] In some embodiments, there is a correlation between the second frequency point and the first frequency point, so that the measurement result of the second frequency point can be predicted based on the measurement result of the first frequency point.

[0175] This application does not specifically limit the association between the second frequency point and the first frequency point, as long as the measurement result of the second frequency point can be predicted based on the measurement result of the first frequency point. For example, the second frequency point and the first frequency point can satisfy one or more of the following: the second frequency point and the first frequency point belong to the same carrier, the second frequency point and the first frequency point belong to the same frequency band, or the second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

[0176] Taking the second frequency point configured by the network device to the terminal device as including 6 different frequency points as an example, the terminal device determines that 3 of these 6 different frequency points are related to the 3 same frequency points configured by the network device. Therefore, the terminal device does not need to actually measure the measurement results of these 3 different frequency points, but can predict the measurement results of the above 3 different frequency points by using the actual measurement results of these 3 same frequency points.

[0177] In some embodiments, before the terminal device reports the measurement results to the network device (i.e., step S1110), the network device may send a measurement configuration to the terminal device. This measurement configuration is used by the terminal device to perform RRM measurements.

[0178] In some embodiments, the measurement configuration described above may include the measurement object and reporting configuration for the terminal device to perform RRM measurements.

[0179] In some embodiments, the measurement configuration described above may include one or more of the following: reference signal configuration for co-frequency cells, frequency point configuration for co-frequency cells, SMTC, measurement interval configuration, frequency points and lists of inter-frequency cells, etc.

[0180] In some embodiments, the reference signal configuration of a co-frequency cell may include SSB configuration, such as SSB period and offset. However, the embodiments of this application are not limited to this; for example, the reference signal configuration of a co-frequency cell may also include CSI-RS configuration.

[0181] In some embodiments, SMTC may include SMTC period, SMTC offset, etc. For a more detailed introduction to SMTC, please refer to the above text; it will not be repeated here.

[0182] In some embodiments, the measurement interval configuration may include an interval pattern, measurement interval offset, etc. For a detailed description of the measurement interval configuration, please refer to the above text; it will not be repeated here.

[0183] In some embodiments, the terminal device and the network device can synchronize the RRM prediction model. This application does not limit the implementation method of synchronizing the RRM prediction model between the terminal device and the network device. For example, the terminal device and the network device can synchronize the RRM prediction model through the parameter set used by the model and / or the capabilities of the model. However, this application is not limited to this; for example, the terminal device and the network device can synchronize the RRM prediction model through other information such as model identifier, model function identifier, data identifier used by the model, and conditions used by the model (such as condition identifier).

[0184] In some embodiments, after the terminal device and the network device synchronize the RRM prediction model, the terminal device can perform RRM measurement based on the first parameter.

[0185] In some embodiments, after the terminal device and the network device synchronize the RRM prediction model, the terminal device can predict the measurement result of the second frequency point based on the measurement result of the first frequency point obtained by actual measurement.

[0186] The method embodiments of this application have been described in detail above with reference to Figures 1 to 14. The apparatus embodiments of this application will be described in detail below with reference to Figures 15 to 19. It should be understood that the descriptions of the method embodiments correspond to the descriptions of the apparatus embodiments; therefore, any parts not described in detail can be referred to the preceding method embodiments.

[0187] Figure 15 is a schematic diagram of the structure of a terminal device provided in an embodiment of this application. The terminal device 1500 shown in Figure 15 includes a measurement module 1510. The measurement module 1510 is used to perform RRM measurement according to a first parameter. The first parameter is used to indicate the measurement requirements of the RRM measurement, and the determination of the first parameter is related to the RRM prediction error.

[0188] In some embodiments, the first parameter includes one or more of the following: a first measurement accuracy; a first measurement time window; a first measurement interval; and a first measurement reference signal.

[0189] In some embodiments, the first parameter includes a first measurement accuracy, which is indicated by a first difference, the first difference indicating the difference between the measurement accuracy determined based on the RRM prediction error and the measurement accuracy determined without taking the RRM prediction error into account.

[0190] In some embodiments, the first parameter includes a first measurement accuracy, which is used to indicate the measurement accuracy determined based on the RRM prediction error.

[0191] In some embodiments, the terminal device further includes: a determination module 1520, configured to determine one or more of the following based on the first measurement accuracy: a first measurement time window corresponding to the RRM measurement performed by the terminal device; test samples for RRM prediction performed by the terminal device; and training samples for RRM prediction performed by the terminal device.

[0192] In some embodiments, the first measurement accuracy is less than the measurement accuracy determined without taking into account the RRM prediction error.

[0193] In some embodiments, the first measurement accuracy is greater than or equal to the measurement accuracy determined without taking into account the RRM prediction error.

[0194] In some embodiments, the first parameter includes a first measurement time window, which is used by the terminal device to perform RRM measurement during RRM prediction and / or to perform RRM prediction during RRM prediction.

[0195] In some embodiments, the length of the first measurement time window is greater than or equal to the sum of the first time length and the second time length, wherein the first time length is used to indicate the length of the time window in which the terminal device performs RRM measurement during RRM prediction, and the second time length is used to indicate the length of the time window in which the terminal device performs RRM prediction during RRM prediction.

[0196] In some embodiments, the first measurement time window is determined based on a second measurement time window and a third measurement time window, wherein the second measurement time window is used to indicate a measurement time window determined based on the RRM prediction error, and the third measurement time window is used to indicate a measurement time window determined without considering the RRM prediction error.

[0197] In some embodiments, the first measurement time window is the larger value between the second measurement time window and the third measurement time window.

[0198] In some embodiments, the first parameter is configured by the network device, or the first parameter is pre-configured.

[0199] In some embodiments, the terminal device further includes: a first transmitting module, configured to transmit first capability information to a network device, the first capability information being used to indicate the RRM measurement capability of the terminal device, wherein the first parameter is determined based on the first capability information.

[0200] In some embodiments, the first capability information includes one or more of the following: the measurement types supported by the terminal device; the measurement intervals supported by the terminal device; and the measurement accuracy supported by the terminal device.

[0201] In some embodiments, the terminal device further includes: a second transmitting module, configured to transmit measurement results to a network device, the measurement results including measurement results of a first frequency point and measurement results of a second frequency point; wherein the measurement result of the first frequency point is actually measured by the terminal device, and the measurement result of the second frequency point is predicted by the terminal device.

[0202] In some embodiments, the first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: the second frequency point is the same as the frequency point of the serving cell of the terminal device; the second frequency point is different from the frequency point of the serving cell of the terminal device; the second frequency point is from a different system than the frequency point of the serving cell of the terminal device; the second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

[0203] In some embodiments, the second frequency point is associated with the first frequency point.

[0204] In some embodiments, the second frequency point and the first frequency point belong to the same carrier; the second frequency point and the first frequency point belong to the same frequency band; the second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

[0205] In some embodiments, the measurement module 1510 may be a processor 1910. The terminal device 1500 may also include a transceiver 1930 and a memory 1920, as shown in FIG19.

[0206] Figure 16 is a schematic diagram of the structure of a terminal device provided in another embodiment of this application. The terminal device 1600 shown in Figure 16 includes a transmitting module 1610. The transmitting module 1610 is used to transmit measurement results to a network device, the measurement results including measurement results of a first frequency point and measurement results of a second frequency point; wherein, the measurement result of the first frequency point is actually measured by the terminal device, and the measurement result of the second frequency point is predicted by the terminal device.

[0207] In some embodiments, the first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: the second frequency point is the same as the frequency point of the serving cell of the terminal device; the second frequency point is different from the frequency point of the serving cell of the terminal device; the second frequency point is from a different system than the frequency point of the serving cell of the terminal device; the second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

[0208] In some embodiments, the second frequency point is associated with the first frequency point.

[0209] In some embodiments, the second frequency point and the first frequency point belong to the same carrier; the second frequency point and the first frequency point belong to the same frequency band; the second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

[0210] In some embodiments, the transmitting module 1610 may be a transceiver 1930. The terminal device 1600 may also include a processor 1910 and a memory 1920, as shown in FIG19.

[0211] Figure 17 is a schematic diagram of the structure of a network device provided in an embodiment of this application. The network device 1700 shown in Figure 17 includes a configuration module 1710. The configuration module 1710 is used to configure a first parameter to a terminal device, the first parameter being used for RRM measurement; wherein, the first parameter is used to indicate the measurement requirements of the RRM measurement, and the determination of the first parameter is associated with the RRM prediction error.

[0212] In some embodiments, the first parameter includes one or more of the following: a first measurement accuracy; a first measurement time window; a first measurement interval; and a first measurement reference signal.

[0213] In some embodiments, the first parameter includes a first measurement accuracy, which is indicated by a first difference, the first difference indicating the difference between the measurement accuracy determined based on the RRM prediction error and the measurement accuracy determined without taking the RRM prediction error into account.

[0214] In some embodiments, the first parameter includes a first measurement accuracy, which is used to indicate the measurement accuracy determined based on the RRM prediction error.

[0215] In some embodiments, the first measurement accuracy is used to determine one or more of the following: a first measurement time window corresponding to the RRM measurement performed by the terminal device; test samples for RRM prediction performed by the terminal device; and training samples for RRM prediction performed by the terminal device.

[0216] In some embodiments, the first measurement accuracy is less than the measurement accuracy determined without taking into account the RRM prediction error.

[0217] In some embodiments, the first measurement accuracy is greater than or equal to the measurement accuracy determined without taking into account the RRM prediction error.

[0218] In some embodiments, the first parameter includes a first measurement time window, which is used by the terminal device to perform RRM measurement during RRM prediction and / or to perform RRM prediction during RRM prediction.

[0219] In some embodiments, the length of the first measurement time window is greater than or equal to the sum of the first time length and the second time length, wherein the first time length is used to indicate the length of the time window in which the terminal device performs RRM measurement during RRM prediction, and the second time length is used to indicate the length of the time window in which the terminal device performs RRM prediction during RRM prediction.

[0220] In some embodiments, the first measurement time window is determined based on a second measurement time window and a third measurement time window, wherein the second measurement time window is used to indicate a measurement time window determined based on the RRM prediction error, and the third measurement time window is used to indicate a measurement time window determined without considering the RRM prediction error.

[0221] In some embodiments, the first measurement time window is the larger value between the second measurement time window and the third measurement time window.

[0222] In some embodiments, the network device further includes: a first receiving module 1720, configured to receive first capability information sent by the terminal device, the first capability information being used to indicate the RRM measurement capability of the terminal device, wherein the first parameter is determined based on the first capability information.

[0223] In some embodiments, the first capability information includes one or more of the following: the measurement types supported by the terminal device; the measurement intervals supported by the terminal device; and the measurement accuracy supported by the terminal device.

[0224] In some embodiments, the network device further includes: a second receiving module, configured to receive measurement results sent by the terminal device, the measurement results including measurement results of a first frequency point and measurement results of a second frequency point; wherein the measurement results of the first frequency point are actually measured by the terminal device, and the measurement results of the second frequency point are predicted by the terminal device.

[0225] In some embodiments, the first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: the second frequency point is the same as the frequency point of the serving cell of the terminal device; the second frequency point is different from the frequency point of the serving cell of the terminal device; the second frequency point is from a different system than the frequency point of the serving cell of the terminal device; the second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

[0226] In some embodiments, the second frequency point is associated with the first frequency point.

[0227] In some embodiments, the second frequency point and the first frequency point belong to the same carrier; the second frequency point and the first frequency point belong to the same frequency band; the second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

[0228] In some embodiments, the configuration module 1710 may be a transceiver 1930. The network device 1700 may also include a processor 1910 and a memory 1920, as shown in FIG19.

[0229] Figure 18 is a schematic diagram of a network device according to another embodiment of this application. The network device 1800 shown in Figure 18 includes a receiving module 1810. The receiving module 1810 is used to receive measurement results sent by a terminal device, the measurement results including measurement results of a first frequency point and measurement results of a second frequency point; wherein, the measurement result of the first frequency point is actually measured by the terminal device, and the measurement result of the second frequency point is predicted by the terminal device.

[0230] In some embodiments, the first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: the second frequency point is the same as the frequency point of the serving cell of the terminal device; the second frequency point is different from the frequency point of the serving cell of the terminal device; the second frequency point is from a different system than the frequency point of the serving cell of the terminal device; the second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

[0231] In some embodiments, the second frequency point is associated with the first frequency point.

[0232] In some embodiments, the second frequency point and the first frequency point belong to the same carrier; the second frequency point and the first frequency point belong to the same frequency band; the second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

[0233] In some embodiments, the receiving module 1810 may be a transceiver 1930. The network device 1800 may also include a processor 1910 and a memory 1920, as shown in FIG19.

[0234] Figure 19 is a schematic structural diagram of a communication device according to an embodiment of this application. The dashed lines in Figure 19 indicate that the unit or module is optional. This device 1900 can be used to implement the methods described in the above method embodiments. Device 1900 can be a chip, a terminal device, or a network device.

[0235] Apparatus 1900 may include one or more processors 1910. The processor 1910 may support apparatus 1900 in implementing the methods described in the preceding method embodiments. The processor 1910 may be a general-purpose processor or a special-purpose processor. For example, the processor may be a central processing unit (CPU). Alternatively, the processor may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0236] The apparatus 1900 may further include one or more memories 1920. The memories 1920 store a program that can be executed by the processor 1910, causing the processor 1910 to perform the methods described in the preceding method embodiments. The memories 1920 may be independent of the processor 1910 or integrated within the processor 1910.

[0237] The device 1900 may also include a transceiver 1930. The processor 1910 can communicate with other devices or chips via the transceiver 1930. For example, the processor 1910 can send and receive data with other devices or chips via the transceiver 1930.

[0238] This application also provides a computer-readable storage medium for storing a program. This computer-readable storage medium can be applied to a terminal device or network device provided in this application embodiment, and the program causes a computer to execute the methods performed by the terminal device or network device in the various embodiments of this application.

[0239] This application also provides a computer program product. The computer program product includes a program. This computer program product can be applied to a terminal device or network device provided in the embodiments of this application, and the program causes a computer to execute the methods performed by the terminal device or network device in the various embodiments of this application.

[0240] This application also provides a computer program. This computer program can be applied to the terminal device or network device provided in this application, and the computer program causes the computer to execute the methods performed by the terminal device or network device in various embodiments of this application.

[0241] It should be understood that the terms "system" and "network" in this application can be used interchangeably. Furthermore, the terminology used in this application is only for explaining specific embodiments of the application and is not intended to limit the application. The terms "first," "second," "third," and "fourth," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. In addition, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion.

[0242] In the embodiments of this application, the term "instruction" can be a direct instruction, an indirect instruction, or an indication of a relationship. For example, A instructing B can mean that A directly instructs B, such as B being able to obtain information through A; it can also mean that A indirectly instructs B, such as A instructing C, so B can obtain information through C; or it can mean that there is a relationship between A and B.

[0243] In the embodiments of this application, "B corresponding to A" means that B is associated with A, and B can be determined based on A. However, it should also be understood that determining B based on A does not mean that B is determined solely based on A; B can also be determined based on A and / or other information.

[0244] In the embodiments of this application, the term "correspondence" can indicate a direct or indirect correspondence between two things, or an association between two things, or a relationship such as instruction and being instructed, configuration and being configured.

[0245] In the embodiments of this application, the term "comprising" can refer to direct inclusion or indirect inclusion. Optionally, "comprising" in the embodiments of this application can be replaced with "instructing" or "used to determine". For example, "A includes B" can be replaced with "A instructs B" or "A is used to determine B".

[0246] In this application embodiment, "predefined" or "preconfigured" can be implemented by pre-storing corresponding codes, tables, or other means that can be used to indicate relevant information in the device (e.g., including terminal devices and network devices). This application does not limit the specific implementation method. For example, predefined can refer to what is defined in the protocol.

[0247] In this application embodiment, the "protocol" may refer to a standard protocol in the field of communication, such as the LTE protocol, the NR protocol, and related protocols applied to future communication systems. This application does not limit this.

[0248] In the embodiments of this application, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0249] In the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0250] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0251] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0252] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0253] In the above embodiments, implementation can be achieved entirely or partially through software, hardware, firmware, or any combination thereof. When implemented using software, it can be implemented entirely or partially in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can read or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., digital video discs, DVDs) or semiconductor media (e.g., solid-state disks, SSDs), etc.

[0254] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for wireless communication, characterized in that, include: The terminal device performs Radio Resource Management (RRM) measurements based on the first parameter. The first parameter is used to indicate the measurement requirements of the RRM measurement, and the determination of the first parameter is related to the RRM prediction error.

2. The method according to claim 1, characterized in that, The first parameter includes one or more of the following: First measurement accuracy; First measurement time window; First measurement interval; First measurement reference signal.

3. The method according to claim 1 or 2, characterized in that, The first parameter includes a first measurement accuracy, which is indicated by a first difference, which indicates the difference between the measurement accuracy determined based on the RRM prediction error and the measurement accuracy determined without considering the RRM prediction error.

4. The method according to claim 1 or 2, characterized in that, The first parameter includes a first measurement accuracy, which indicates the measurement accuracy determined based on the RRM prediction error.

5. The method according to claim 3 or 4, characterized in that, The method further includes: The terminal device determines one or more of the following based on the first measurement accuracy: The terminal device executes the first measurement time window corresponding to the RRM measurement; The terminal device performs RRM prediction on test samples; The terminal device executes the training samples for RRM prediction.

6. The method according to any one of claims 3-5, characterized in that, The first measurement accuracy is less than the measurement accuracy determined without considering the RRM prediction error.

7. The method according to any one of claims 3-5, characterized in that, The first measurement accuracy is greater than or equal to the measurement accuracy determined without considering the RRM prediction error.

8. The method according to any one of claims 1-7, characterized in that, The first parameter includes a first measurement time window, which is used by the terminal device to perform RRM measurement and / or to perform RRM prediction during the RRM prediction process.

9. The method according to claim 8, characterized in that, The length of the first measurement time window is greater than or equal to the sum of the first time length and the second time length, wherein the first time length is used to indicate the length of the time window in which the terminal device performs RRM measurement during the RRM prediction process, and the second time length is used to indicate the length of the time window in which the terminal device performs RRM prediction during the RRM prediction process.

10. The method according to claim 8 or 9, characterized in that, The first measurement time window is determined based on the second measurement time window and the third measurement time window. The second measurement time window is used to indicate the measurement time window determined based on the RRM prediction error, and the third measurement time window is used to indicate the measurement time window determined without considering the RRM prediction error.

11. The method according to claim 10, characterized in that, The first measurement time window is the larger value between the second measurement time window and the third measurement time window.

12. The method according to any one of claims 1-11, characterized in that, The first parameter is configured by the network device, or the first parameter is pre-configured.

13. The method according to any one of claims 1-12, characterized in that, The method further includes: The terminal device sends first capability information to the network device. The first capability information is used to indicate the RRM measurement capability of the terminal device, wherein the first parameter is determined based on the first capability information.

14. The method according to claim 13, characterized in that, The first capability information includes one or more of the following: The terminal device supports the following measurement types; The measurement intervals supported by the terminal device; The measurement accuracy supported by the terminal device.

15. The method according to any one of claims 1-14, characterized in that, The method further includes: The terminal device sends measurement results to the network device, and the measurement results include the measurement results of the first frequency point and the measurement results of the second frequency point; The measurement result of the first frequency point is obtained by the actual measurement of the terminal device, and the measurement result of the second frequency point is obtained by the prediction of the terminal device.

16. The method according to claim 15, characterized in that, The first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: The second frequency point is the same as the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

17. The method according to claim 15 or 16, characterized in that, The second frequency point is related to the first frequency point.

18. The method according to claim 17, characterized in that: The second frequency point and the first frequency point belong to the same carrier. The second frequency point and the first frequency point belong to the same frequency band; The second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

19. A method for wireless communication, characterized in that, include: The terminal device sends measurement results to the network device, the measurement results including measurement results of a first frequency point and measurement results of a second frequency point; The measurement result of the first frequency point is obtained by the actual measurement of the terminal device, and the measurement result of the second frequency point is obtained by the prediction of the terminal device.

20. The method according to claim 19, characterized in that, The first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: The second frequency point is the same as the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

21. The method according to claim 19 or 20, characterized in that, The second frequency point is related to the first frequency point.

22. The method according to claim 21, characterized in that: The second frequency point and the first frequency point belong to the same carrier. The second frequency point and the first frequency point belong to the same frequency band; The second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

23. A method for wireless communication, characterized in that, include: The network device configures a first parameter to the terminal device, the first parameter being used for radio resource management (RRM) measurement. The first parameter is used to indicate the measurement requirements of the RRM measurement, and the determination of the first parameter is related to the RRM prediction error.

24. The method according to claim 23, characterized in that, The first parameter includes one or more of the following: First measurement accuracy; First measurement time window; First measurement interval; First measurement reference signal.

25. The method according to claim 23 or 24, characterized in that, The first parameter includes a first measurement accuracy, which is indicated by a first difference, which indicates the difference between the measurement accuracy determined based on the RRM prediction error and the measurement accuracy determined without considering the RRM prediction error.

26. The method according to claim 23 or 24, characterized in that, The first parameter includes a first measurement accuracy, which indicates the measurement accuracy determined based on the RRM prediction error.

27. The method according to claim 25 or 26, characterized in that, The first measurement accuracy is used to determine one or more of the following: The terminal device executes the first measurement time window corresponding to the RRM measurement; The terminal device performs RRM prediction on test samples; The terminal device executes the training samples for RRM prediction.

28. The method according to any one of claims 25-27, characterized in that, The first measurement accuracy is less than the measurement accuracy determined without considering the RRM prediction error.

29. The method according to any one of claims 25-27, characterized in that, The first measurement accuracy is greater than or equal to the measurement accuracy determined without considering the RRM prediction error.

30. The method according to any one of claims 23-29, characterized in that, The first parameter includes a first measurement time window, which is used by the terminal device to perform RRM measurement and / or to perform RRM prediction during the RRM prediction process.

31. The method according to claim 30, characterized in that, The length of the first measurement time window is greater than or equal to the sum of the first time length and the second time length, wherein the first time length is used to indicate the length of the time window in which the terminal device performs RRM measurement during the RRM prediction process, and the second time length is used to indicate the length of the time window in which the terminal device performs RRM prediction during the RRM prediction process.

32. The method according to claim 30 or 31, characterized in that, The first measurement time window is determined based on the second measurement time window and the third measurement time window. The second measurement time window is used to indicate the measurement time window determined based on the RRM prediction error, and the third measurement time window is used to indicate the measurement time window determined without considering the RRM prediction error.

33. The method according to claim 32, characterized in that, The first measurement time window is the larger value between the second measurement time window and the third measurement time window.

34. The method according to any one of claims 23-33, characterized in that, The method further includes: The network device receives first capability information sent by the terminal device. The first capability information is used to indicate the RRM measurement capability of the terminal device, wherein the first parameter is determined based on the first capability information.

35. The method according to claim 34, characterized in that, The first capability information includes one or more of the following: The terminal device supports the following measurement types; The measurement intervals supported by the terminal device; The measurement accuracy supported by the terminal device.

36. The method according to any one of claims 23-35, characterized in that, The method further includes: The network device receives measurement results sent by the terminal device, the measurement results including measurement results at a first frequency point and measurement results at a second frequency point; The measurement result of the first frequency point is obtained by the actual measurement of the terminal device, and the measurement result of the second frequency point is obtained by the prediction of the terminal device.

37. The method according to claim 36, characterized in that, The first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: The second frequency point is the same as the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

38. The method according to claim 36 or 37, characterized in that, The second frequency point is related to the first frequency point.

39. The method according to claim 38, characterized in that: The second frequency point and the first frequency point belong to the same carrier. The second frequency point and the first frequency point belong to the same frequency band; The second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

40. A method for wireless communication, characterized in that, include: The network device receives measurement results sent by the terminal device, the measurement results including measurement results at a first frequency point and measurement results at a second frequency point; The measurement result of the first frequency point is obtained by the actual measurement of the terminal device, and the measurement result of the second frequency point is obtained by the prediction of the terminal device.

41. The method according to claim 40, characterized in that, The first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: The second frequency point is the same as the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

42. The method according to claim 40 or 41, characterized in that, The second frequency point is related to the first frequency point.

43. The method according to claim 42, characterized in that: The second frequency point and the first frequency point belong to the same carrier. The second frequency point and the first frequency point belong to the same frequency band; The second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

44. A terminal device, characterized in that, include: The measurement module is used to perform Radio Resource Management (RRM) measurements based on the first parameter; The first parameter is used to indicate the measurement requirements of the RRM measurement, and the determination of the first parameter is related to the RRM prediction error.

45. The terminal device according to claim 44, characterized in that, The first parameter includes one or more of the following: First measurement accuracy; First measurement time window; First measurement interval; First measurement reference signal.

46. ​​The terminal device according to claim 44 or 45, characterized in that, The first parameter includes a first measurement accuracy, which is indicated by a first difference, which indicates the difference between the measurement accuracy determined based on the RRM prediction error and the measurement accuracy determined without considering the RRM prediction error.

47. The terminal device according to claim 44 or 45, characterized in that, The first parameter includes a first measurement accuracy, which indicates the measurement accuracy determined based on the RRM prediction error.

48. The terminal device according to claim 46 or 47, characterized in that, The terminal device also includes: The determining module is configured to determine one or more of the following based on the first measurement accuracy: The terminal device executes the first measurement time window corresponding to the RRM measurement; The terminal device performs RRM prediction on test samples; The terminal device executes the training samples for RRM prediction.

49. The terminal device according to any one of claims 46-48, characterized in that, The first measurement accuracy is less than the measurement accuracy determined without considering the RRM prediction error.

50. The terminal device according to any one of claims 46-48, characterized in that, The first measurement accuracy is greater than or equal to the measurement accuracy determined without considering the RRM prediction error.

51. The terminal device according to any one of claims 44-50, characterized in that, The first parameter includes a first measurement time window, which is used by the terminal device to perform RRM measurement and / or to perform RRM prediction during the RRM prediction process.

52. The terminal device according to claim 51, characterized in that, The length of the first measurement time window is greater than or equal to the sum of the first time length and the second time length, wherein the first time length is used to indicate the length of the time window in which the terminal device performs RRM measurement during the RRM prediction process, and the second time length is used to indicate the length of the time window in which the terminal device performs RRM prediction during the RRM prediction process.

53. The terminal device according to claim 51 or 52, characterized in that, The first measurement time window is determined based on the second measurement time window and the third measurement time window. The second measurement time window is used to indicate the measurement time window determined based on the RRM prediction error, and the third measurement time window is used to indicate the measurement time window determined without considering the RRM prediction error.

54. The terminal device according to claim 53, characterized in that, The first measurement time window is the larger value between the second measurement time window and the third measurement time window.

55. The terminal device according to any one of claims 44-54, characterized in that, The first parameter is configured by the network device, or the first parameter is pre-configured.

56. The terminal device according to any one of claims 44-55, characterized in that, The terminal device also includes: A first sending module is configured to send first capability information to a network device. The first capability information is used to indicate the RRM measurement capability of the terminal device, wherein the first parameter is determined based on the first capability information.

57. The terminal device according to claim 56, characterized in that, The first capability information includes one or more of the following: The terminal device supports the following measurement types; The measurement intervals supported by the terminal device; The measurement accuracy supported by the terminal device.

58. The terminal device according to any one of claims 44-57, characterized in that, The terminal device also includes: The second transmitting module is used to send measurement results to the network device, the measurement results including the measurement results of the first frequency point and the measurement results of the second frequency point; The measurement result of the first frequency point is obtained by the actual measurement of the terminal device, and the measurement result of the second frequency point is obtained by the prediction of the terminal device.

59. The terminal device according to claim 58, characterized in that, The first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: The second frequency point is the same as the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

60. The terminal device according to claim 58 or 59, characterized in that, The second frequency point is related to the first frequency point.

61. The terminal device according to claim 60, characterized in that: The second frequency point and the first frequency point belong to the same carrier. The second frequency point and the first frequency point belong to the same frequency band; The second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

62. A terminal device, characterized in that, include: A transmitting module is used to send measurement results to network devices, the measurement results including measurement results at a first frequency point and measurement results at a second frequency point; The measurement result of the first frequency point is obtained by the actual measurement of the terminal device, and the measurement result of the second frequency point is obtained by the prediction of the terminal device.

63. The terminal device according to claim 62, characterized in that, The first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: The second frequency point is the same as the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

64. The terminal device according to claim 62 or 63, characterized in that, The second frequency point is related to the first frequency point.

65. The terminal device according to claim 64, characterized in that: The second frequency point and the first frequency point belong to the same carrier. The second frequency point and the first frequency point belong to the same frequency band; The second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

66. A network device, characterized in that, include: The configuration module is used to configure a first parameter to the terminal device, the first parameter being used for radio resource management (RRM) measurement; The first parameter is used to indicate the measurement requirements of the RRM measurement, and the determination of the first parameter is related to the RRM prediction error.

67. The network device according to claim 66, characterized in that, The first parameter includes one or more of the following: First measurement accuracy; First measurement time window; First measurement interval; First measurement reference signal.

68. The network device according to claim 66 or 67, characterized in that, The first parameter includes a first measurement accuracy, which is indicated by a first difference, which indicates the difference between the measurement accuracy determined based on the RRM prediction error and the measurement accuracy determined without considering the RRM prediction error.

69. The network device according to claim 66 or 67, characterized in that, The first parameter includes a first measurement accuracy, which indicates the measurement accuracy determined based on the RRM prediction error.

70. The network device according to claim 68 or 69, characterized in that, The first measurement accuracy is used to determine one or more of the following: The terminal device executes the first measurement time window corresponding to the RRM measurement; The terminal device performs RRM prediction on test samples; The terminal device executes the training samples for RRM prediction.

71. The network device according to any one of claims 68-70, characterized in that, The first measurement accuracy is less than the measurement accuracy determined without considering the RRM prediction error.

72. The network device according to any one of claims 68-70, characterized in that, The first measurement accuracy is greater than or equal to the measurement accuracy determined without considering the RRM prediction error.

73. The network device according to any one of claims 66-72, characterized in that, The first parameter includes a first measurement time window, which is used by the terminal device to perform RRM measurement and / or to perform RRM prediction during the RRM prediction process.

74. The network device according to claim 73, characterized in that, The length of the first measurement time window is greater than or equal to the sum of the first time length and the second time length, wherein the first time length is used to indicate the length of the time window in which the terminal device performs RRM measurement during the RRM prediction process, and the second time length is used to indicate the length of the time window in which the terminal device performs RRM prediction during the RRM prediction process.

75. The network device according to claim 73 or 74, characterized in that, The first measurement time window is determined based on the second measurement time window and the third measurement time window. The second measurement time window is used to indicate the measurement time window determined based on the RRM prediction error, and the third measurement time window is used to indicate the measurement time window determined without considering the RRM prediction error.

76. The network device according to claim 75, characterized in that, The first measurement time window is the larger value between the second measurement time window and the third measurement time window.

77. The network device according to any one of claims 66-76, characterized in that, The network device also includes: A first receiving module is configured to receive first capability information sent by the terminal device, the first capability information being used to indicate the RRM measurement capability of the terminal device, wherein the first parameter is determined based on the first capability information.

78. The network device according to claim 77, characterized in that, The first capability information includes one or more of the following: The terminal device supports the following measurement types; The measurement intervals supported by the terminal device; The measurement accuracy supported by the terminal device.

79. The network device according to any one of claims 66-78, characterized in that, The network device also includes: The second receiving module is used to receive the measurement results sent by the terminal device, the measurement results including the measurement results of the first frequency point and the measurement results of the second frequency point; The measurement result of the first frequency point is obtained by the actual measurement of the terminal device, and the measurement result of the second frequency point is obtained by the prediction of the terminal device.

80. The network device according to claim 79, characterized in that, The first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: The second frequency point is the same as the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

81. The network device according to claim 79 or 80, characterized in that, The second frequency point is related to the first frequency point.

82. The network device according to claim 81, characterized in that: The second frequency point and the first frequency point belong to the same carrier. The second frequency point and the first frequency point belong to the same frequency band; The second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

83. A network device, characterized in that, include: A receiving module is used to receive measurement results sent by a terminal device, the measurement results including measurement results at a first frequency point and measurement results at a second frequency point; The measurement result of the first frequency point is obtained by the actual measurement of the terminal device, and the measurement result of the second frequency point is obtained by the prediction of the terminal device.

84. The network device according to claim 83, characterized in that, The first frequency point is the same as the frequency point of the serving cell of the terminal device, and the second frequency point satisfies one or more of the following: The second frequency point is the same as the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point is different from the frequency point of the serving cell of the terminal device; The second frequency point belongs to the frequency point of the deactivated serving cell of the terminal device.

85. The network device according to claim 83 or 84, characterized in that, The second frequency point is related to the first frequency point.

86. The network device according to claim 85, characterized in that: The second frequency point and the first frequency point belong to the same carrier. The second frequency point and the first frequency point belong to the same frequency band; The second frequency point and the first frequency point belong to the frequency band combination indicated in the capability reported by the terminal device.

87. A terminal device, characterized in that, It includes a memory and a processor, the memory being used to store a program, and the processor being used to invoke the program in the memory to cause the terminal device to perform the method as described in any one of claims 1-22.

88. A network device, characterized in that, The device includes a transceiver, a memory, and a processor. The memory stores a program, and the processor invokes the program in the memory and controls the transceiver to receive or transmit signals so that the network device performs the method as described in any one of claims 23-43.

89. An apparatus, characterized in that, Includes a processor for calling a program from memory to cause the device to perform the method as described in any one of claims 1-22 or 23-43.

90. A chip, characterized in that, Includes a processor for calling a program from memory, causing a device on which the chip is mounted to perform the method as described in any one of claims 1-22 or 23-43.

91. A computer-readable storage medium, characterized in that, It contains a program that causes a computer to perform the method as described in any one of claims 1-22 or 23-43.

92. A computer program product, characterized in that, Includes a program that causes a computer to perform the method as described in any one of claims 1-22 or 23-43.

93. A computer program, characterized in that, The computer program causes the computer to perform the method as described in any one of claims 1-22 or 23-43.

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