Communication methods, devices, apparatuses, chips, storage media and software products

Abstract

This disclosure provides a communication method, apparatus, system, storage medium, program product, and chip. According to an embodiment of this disclosure, a communication device receives a first configuration, wherein the first configuration includes information associated with one or more of the following: co-location, quasi-co-location, and cell pairing of a first cell and a second cell; based on the first configuration, it obtains an RRM measurement prediction result for the second cell, wherein the first configuration is used to determine the first cell, the first cell is used for the Radio Resource Management (RRM) measurement prediction of the second cell, and the frequency point of the first cell is different from the frequency point of the second cell. In this manner, embodiments of this disclosure can achieve the beneficial technical effects of improving the accuracy and processing efficiency of RRM measurement prediction and effectively reducing communication system overhead.

Description

Technical Field

[0001] The embodiments of this disclosure primarily relate to the field of communications, and more specifically to a communication method, communication device, communication apparatus, chip, computer-readable storage medium, and computer program product. Background Technology

[0002] A communication system can be viewed as a facility that enables a communication session between two or more entities (such as communication equipment, terminal equipment, base stations, and / or other nodes) by providing carrier waves between various entities involved in the communication path. A communication system can be a wireless communication system. Wireless communication systems can be systems based on various wireless communication standards, including but not limited to systems based on standards provided by the Third Generation Partnership Project (3GPP). With the development of wireless technology, sixth-generation (6G) and related wireless technology standards have attracted extensive research and discussion.

[0003] In wireless communication systems, before user equipment (UE) and the network can transmit data, they need to complete uplink and downlink synchronization to connect to the network through an initial access procedure. UE needs to perform mobility management by measuring downlink reference signals; this process is called Radio Resource Management (RRM). Mobility management is crucial for effectively utilizing system resources and ensuring the network provides appropriate services to UE. Therefore, in discussions of Sixth Generation (6G) and related wireless technology standards, improving mobility management has become one of the directions for continuous optimization of communication network systems. Summary of the Invention

[0004] Embodiments of this disclosure provide a communication method, communication device, communication apparatus, chip, computer-readable storage medium, and computer program product. According to embodiments of this disclosure, the accuracy and processing efficiency of RRM measurement prediction can be improved, and communication system overhead can be effectively reduced.

[0005] In a first aspect of this disclosure, a communication method is provided. This method can be applied to a terminal device. In this disclosure, a terminal device can refer to a terminal equipment, a component within the terminal equipment (e.g., a processor, chip, module, communication module, circuit or chip responsible for communication functions), or a logic module or software capable of implementing all or part of the terminal equipment's functions. The method is described below using a terminal equipment as an example. The method includes: receiving a first configuration, wherein the first configuration includes information associated with one or more of the following: co-location, quasi-co-location, and cell pairing of a first cell and a second cell; and obtaining an RRM measurement prediction result for the second cell based on the first configuration, wherein the first configuration is used to determine the first cell, the first cell is used for Radio Resource Management (RRM) measurement prediction of the second cell, and the frequency point of the first cell is different from the frequency point of the second cell. In this manner, embodiments of this disclosure obtain the explicitly configured co-location, quasi-co-location, and pairing relationships between the first and second cells from the network side through the terminal device, and understand the relationship between model input and output to perform inter-frequency prediction, thereby improving the accuracy of inter-frequency RRM measurement prediction and reducing communication system overhead.

[0006] In some implementations of the first aspect of this disclosure, the communication method further includes: receiving a second configuration, the second configuration being used to configure configuration information related to RRM measurement prediction; and obtaining the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell, based on the first configuration and the second configuration. In this manner, embodiments of this disclosure can clarify the input-output relationship of the model in an inter-frequency prediction scenario through the second configuration related to inference configuration and the first configuration for inter-frequency prediction, effectively reducing communication system overhead and terminal power consumption.

[0007] In some implementations of the first aspect of this disclosure, the communication method further includes: obtaining the RRM measurement result of the first cell through RRM measurement; and obtaining the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell through RRM measurement prediction. In this manner, embodiments of this disclosure can obtain the prediction result of the second cell based on the actual RRM measurement result of the first cell, reducing the number of actual measurements of inter-frequency cells while maintaining measurement accuracy, and lowering the measurement overhead in the time domain, frequency domain, and spatial domain.

[0008] In some implementations of the first aspect of this disclosure, a model for RRM measurement prediction is configured at the communication device. This model is used for inter-frequency prediction, wherein: the input to the model includes one or more RRM measurement results corresponding to one or more first cells, wherein the RRM measurement results include signal quality related to a reference signal of the cell; and the output of the model includes RRM measurement prediction results for the second cell. In this manner, embodiments of this disclosure can utilize an AI model configured on the terminal for inter-frequency prediction, inferring the channel quality of inter-frequency cells based on measurement results of reference signals (such as SSB / CSI-RS), reducing the frequency of reference signal measurements, and lowering the measurement overhead of the communication system.

[0009] In some implementations of the first aspect of this disclosure, the first configuration is used to determine one or more of the following: the first cell and the second cell are co-located; the first cell and the second cell are quasi-co-located with reference signals; the first cell and the second cell are paired, wherein the RRM measurement result of the first cell is used as input to a model for predicting the RRM measurement prediction result of the second cell. In this manner, embodiments of this disclosure can establish a channel characteristic correlation between the measurement cell and the target cell in inter-frequency prediction by explicitly configuring the co-location, quasi-co-location, and pairing relationships between the first cell and the second cell, ensuring that the large-scale fading experienced by the input and output signals of the prediction model is similar, and improving prediction reliability.

[0010] In some implementations of the first aspect of this disclosure, the first configuration includes one or more of the following: a first configuration identifier indicating the identifier of the first configuration; first indication information indicating a cell identifier; second indication information indicating co-location and / or quasi-co-location; third indication information indicating cell pairing, the cell pairing including a set of cell identifiers forming a pair; fourth indication information indicating a reference signal type used for RRM measurement prediction; and fifth indication information indicating a cell matching identifier used to identify cell matching relationships. In this manner, embodiments of this disclosure can explicitly specify the model input-output relationship of inter-frequency prediction by using parameters and / or combinations of configuration identifiers, cell identifiers, co-location / quasi-co-location indications, cell pairing, reference signal type, and cell matching identifiers, thereby improving the accuracy of RRM measurement prediction.

[0011] In some implementations of the first aspect of this disclosure, the first indication information is used to determine the first cell, and the second indication information is used to determine that the first cell and the second cell have a co-location relationship. The communication method further includes: obtaining the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the co-location relationship. In this way, embodiments of this disclosure can predict the channel quality of the second cell based on the actual measurement result of the first cell by utilizing the high similarity of channel characteristics between co-located cells, thereby reducing the measurement requirements of inter-frequency cells and lowering measurement overhead.

[0012] In some implementations of the first aspect of this disclosure, the first indication information is used to determine the first cell, the second indication information is used to determine that the reference signal of the first cell and the reference signal of the second cell have a quasi-co-location relationship, the fourth indication information is used to determine the reference signal type for RRM measurement prediction, and the communication method further includes: obtaining the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the quasi-co-location relationship. In some implementations of the first aspect of this disclosure, the second indication information is used to indicate a quasi-co-location type, which includes one or more of the following: a first quasi-co-location type, indicating that one or more of Doppler frequency shift, Doppler spread, average delay, and delay spread are similar and / or the same; a second quasi-co-location type, indicating that one or more of Doppler frequency shift and Doppler spread are similar and / or the same; a third quasi-co-location type, indicating that one or more of Doppler frequency shift and average delay are similar and / or the same; and a fourth quasi-co-location type, indicating that spatial reception parameters are similar and / or the same. The communication method further includes: obtaining the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the quasi-co-location type. In this way, embodiments of this disclosure enable terminals to perform inter-frequency prediction based on cell reference signals with quasi-co-location relationships, reducing the burden of channel measurement processing.

[0013] In some implementations of the first aspect of this disclosure, the third indication information is used to determine the first cell paired with the second cell, and the communication method further includes: obtaining the RRM measurement prediction result for the second cell based on the RRM measurement result of the first cell. In this way, embodiments of this disclosure can specify the mapping relationship between the measurement cell corresponding to the inter-frequency prediction model input and the target cell corresponding to the model output through explicit cell pairing configuration, simplifying the prediction processing on the terminal side and improving the accuracy of the model input and output.

[0014] In some implementations of the first aspect of this disclosure, the fifth indication information is used to determine the cell matching identifier of the first cell and the cell matching identifier of the second cell. Based on the fact that the cell matching identifiers of the first cell and the second cell are the same, it is determined that the RRM measurement result of the first cell can be used for the RRM measurement prediction of the second cell. In this way, embodiments of this disclosure can establish an association between the measurement cell and the prediction cell using the cell matching identifier, supporting multiple measurement cells under the same matching identifier to provide input for the same prediction cell, thus enhancing the flexibility of prediction configuration.

[0015] In some implementations of the first aspect of this disclosure, one or more of the first configurations are included in the second configuration. In this manner, embodiments of this disclosure can reduce the number of independent signaling transmissions, optimize configuration signaling overhead, and improve parameter configuration efficiency by including at least a portion of the first configuration in the second configuration.

[0016] In some implementations of the first aspect of this disclosure, the second configuration includes one or more of the following: a second configuration identifier, indicating an identifier for the second configuration; first configuration information, indicating a prediction method type; second configuration information, indicating a cell list, the cell list including one or more cell information; third configuration information, indicating a frequency point list, the frequency point list including one or more frequency point information; fourth configuration information, indicating a prediction time configuration; and fifth configuration information, indicating a prediction window configuration. In this manner, embodiments of this disclosure can support various RRM measurement prediction scenarios such as inter-frequency prediction, interval prediction, and advance prediction through parameters such as the second configuration identifier, prediction method type, cell / frequency point list, prediction time configuration, and prediction window configuration, and / or combinations thereof.

[0017] In some implementations of the first aspect of this disclosure, the prediction method type in the first configuration information includes one or more of the following: a first prediction method, corresponding to inter-frequency prediction; a second prediction method, corresponding to interval prediction; and a third prediction method, corresponding to advance prediction. In this way, embodiments of this disclosure can flexibly configure inter-frequency prediction, interval prediction, or advance prediction methods according to network requirements, achieving flexible indication of the prediction method.

[0018] In some implementations of the first aspect of this disclosure, the first configuration information is used to configure the first prediction method, the cell list configured by the second configuration information includes the first cell and / or the second cell, and the frequency point list configured by the third configuration information includes the frequency points of the first cell and / or the frequency points of the second cell. The second configuration information and the third configuration information are used to determine that the frequency points of the first cell and the second cell are different. In this way, embodiments of this disclosure can achieve inter-frequency prediction processing through information or parameter configuration, thereby reducing communication system overhead.

[0019] In some implementations of the first aspect of this disclosure, the first configuration information is used to configure the second prediction method, the second configuration information is used to configure a cell list, the cell list including one or more cell identifiers for the interval prediction, and the fourth configuration information is used to configure a prediction time configuration, the prediction time configuration being used to configure the period and / or time slot offset of the interval prediction, wherein the prediction time configuration is associated with one or more cells. In this way, embodiments of this disclosure can achieve interleaved scheduling of actual RRM measurements and predicted measurements by configuring the period and time slot offset of the interval prediction, reducing the frequency of actual measurements and lowering terminal power consumption.

[0020] In some implementations of the first aspect of this disclosure, the communication method further includes: determining a cell for the interval prediction and a prediction time configuration associated with the cell based on the second configuration information and the fourth configuration information; and obtaining the RRM measurement prediction result of the cell through the interval prediction based on the determined prediction time configuration. In this manner, embodiments of this disclosure can achieve accurate measurement prediction of periodic interval prediction by determining a specific cell and its associated prediction period / offset according to the prediction time configuration.

[0021] In some implementations of the first aspect of this disclosure, the communication method further includes: receiving an RRM measurement timing configuration, the RRM measurement timing configuration being used to configure the timing of RRM measurements; and obtaining an RRM measurement prediction result for the cell based on the RRM measurement timing configuration and the determined prediction time configuration through the interval prediction. In this manner, embodiments of this disclosure can coordinate the actual measurement timing with the predicted time through the RRM measurement timing configuration (SMTC) and the prediction time configuration, thereby optimizing measurement resource scheduling.

[0022] In some implementations of the first aspect of this disclosure, the first configuration information is used to configure the third prediction method, the second configuration information is used to configure a cell list, the cell list including one or more cell identifiers for the advance prediction, and the fifth configuration information is used to configure the prediction window configuration, the prediction window configuration being used to configure one or more of the prediction time length, the number of reference signal instances, and the reference signal instance interval for the advance prediction, wherein the prediction window configuration is associated with one or more cells. In some implementations of the first aspect of this disclosure, the communication method further includes: determining, based on the second configuration information and the fifth configuration information, a cell for the advance prediction and a prediction window configuration associated with that cell; and obtaining the RRM measurement prediction result of the cell through the advance prediction based on the determined prediction window configuration. In this way, embodiments of this disclosure can provide time window parameters for advance prediction by configuring the prediction time length, the number of reference signal instances, and the instance interval, supporting signal quality inference based on the observation window and enabling advance triggering of measurement reports.

[0023] In some implementations of the first aspect of this disclosure, the communication device receives a plurality of first configurations, and the communication method further includes: receiving downlink control signaling, the downlink control signaling being used to activate one or more of the plurality of first configurations; and obtaining an RRM measurement prediction result of the second cell based on the activated one or more first configurations. In some implementations of the first aspect of this disclosure, the downlink control signaling includes one or more first configuration identifiers, and one or more first configurations for activation are determined based on the one or more first configuration identifiers in the downlink control signaling. In this way, embodiments of this disclosure can dynamically activate specific configurations among a plurality of first configurations through downlink control signaling (such as DCI, MACCE), adapting to the dynamic changes in cell co-location / quasi-co-location / matching relationships in mobile scenarios, and improving the flexibility and real-time performance of predicted configurations.

[0024] In some implementations of the first aspect of this disclosure, the communication method further includes: sending a measurement prediction report, the prediction measurement report including the RRM measurement prediction results of the second cell. In this manner, embodiments of this disclosure can enable the network side to make mobility management decisions based on AI / ML prediction results by reporting the RRM measurement prediction results to the network side, thereby optimizing handover performance and network resource scheduling.

[0025] In a second aspect of this disclosure, a communication method is provided. This method can be applied to a network device, where "network device" can refer to a network equipment, a component within the network equipment (e.g., a processor, chip, module, communication module, circuit or chip responsible for communication functions), or a logic module or software capable of implementing all or part of the functions of the network equipment. The following description uses a network equipment as a second communication device as an example. The communication method includes: sending a first configuration to a first communication device, wherein the first configuration includes information associated with one or more of the following: co-location, quasi-co-location, and cell pairing of a first cell and a second cell; receiving a measurement prediction report from the first communication device, the prediction measurement report including RRM measurement prediction results for the second cell, the RRM measurement prediction results for the second cell being obtained based on the first configuration, wherein the first configuration is used to determine the first cell, the first cell is used for Radio Resource Management (RRM) measurement prediction of the second cell, and the frequency point of the first cell is different from the frequency point of the second cell.

[0026] In some implementations of the second aspect of this disclosure, the communication method further includes: sending a second configuration to the first communication device, the second configuration being configured to configure configuration information related to RRM measurement prediction, wherein the first configuration and the second configuration are used by the first communication device to obtain the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell.

[0027] In some implementations of the second aspect of this disclosure, the RRM measurement result of the first cell is obtained by RRM measurement; the RRM measurement prediction result of the second cell is obtained by reasoning through a model for RRM measurement prediction using the RRM measurement result of the first cell as model input.

[0028] In some implementations of the second aspect of this disclosure, a model for RRM measurement prediction is configured at the first communication device, the model being used for inter-frequency prediction, wherein: the input of the model includes one or more RRM measurement results corresponding to one or more first cells, wherein the RRM measurement results include signal quality related to a reference signal of the cell, and the output of the model includes RRM measurement prediction results for the second cell.

[0029] In some implementations of the second aspect of this disclosure, the first configuration is used to determine one or more of the following: the first cell and the second cell are co-located; the first cell and the second cell are quasi-co-located with reference signals; the first cell and the second cell are paired, wherein the RRM measurement results of the first cell are used as input to a model for predicting the RRM measurement prediction results of the second cell.

[0030] In some implementations of the second aspect of this disclosure, the first configuration includes one or more of the following: a first configuration identifier indicating an identifier of the first configuration; a first indication information indicating a cell identifier; a second indication information indicating co-location and / or quasi-co-location; a third indication information indicating cell pairing, the cell pairing including a set of cell identifiers forming a pair; a fourth indication information indicating a reference signal type used for RRM measurement prediction; and a fifth indication information indicating a cell matching identifier used to identify cell matching relationships.

[0031] In some implementations of the second aspect of this disclosure, the first indication information is used to determine the first cell, and the second indication information is used to determine that the first cell and the second cell have a co-location relationship, wherein the RRM measurement result of the first cell and the co-location relationship are used to obtain the RRM measurement prediction result of the second cell.

[0032] In some implementations of the second aspect of this disclosure, the first indication information is used to determine the first cell, the second indication information is used to determine that the reference signal of the first cell and the reference signal of the second cell have a quasi-co-location relationship, and the fourth indication information is used to determine the reference signal type for RRM measurement prediction, wherein the RRM measurement result of the first cell and the quasi-co-location relationship are used to obtain the RRM measurement prediction result of the second cell.

[0033] In some implementations of the second aspect of this disclosure, the second indication information is used to indicate a quasi-co-location type, which includes one or more of the following: a first quasi-co-location type, indicating that one or more of Doppler frequency shift, Doppler spread, average delay, and delay spread are similar and / or the same; a second quasi-co-location type, indicating that one or more of Doppler frequency shift and Doppler spread are similar and / or the same; a third quasi-co-location type, indicating that one or more of Doppler frequency shift and average delay are similar and / or the same; and a fourth quasi-co-location type, indicating that spatial reception parameters are similar and / or the same, wherein the RRM measurement results of the first cell and the quasi-co-location type are used to obtain the RRM measurement prediction results of the second cell.

[0034] In some implementations of the second aspect of this disclosure, the third indication information is used to determine the first cell paired with the second cell, wherein the RRM measurement results of the first cell are used to obtain the RRM measurement prediction results for the second cell.

[0035] In some implementations of the second aspect of this disclosure, the fifth indication information is used to determine the cell matching identifier of the first cell and the cell matching identifier of the second cell, wherein the cell matching identifier of the first cell and the cell matching identifier of the second cell are the same to determine that the RRM measurement result of the first cell can be used for the RRM measurement prediction of the second cell.

[0036] In some implementations of the second aspect of this disclosure, one or more of the items in the first configuration are included in the second configuration.

[0037] In some implementations of the second aspect of this disclosure, the second configuration includes one or more of the following: a second configuration identifier indicating an identifier of the second configuration; first configuration information indicating a prediction method type; second configuration information indicating a cell list, the cell list including one or more cell information; third configuration information indicating a frequency list, the frequency list including one or more frequency information; fourth configuration information indicating a prediction time configuration; and fifth configuration information indicating a prediction window configuration.

[0038] In some implementations of the second aspect of this disclosure, the prediction method type in the first configuration information includes one or more of the following: a first prediction method, which corresponds to inter-frequency prediction; a second prediction method, which corresponds to interval prediction; and a third prediction method, which corresponds to advance prediction.

[0039] In some implementations of the second aspect of this disclosure, the first configuration information is used to configure the first prediction method, the cell list configured by the second configuration information includes the first cell and / or the second cell, the frequency point list configured by the third configuration information includes the frequency point of the first cell and / or the frequency point of the second cell, and the second configuration information and the third configuration information are used to determine that the frequency point of the first cell is different from the frequency point of the second cell.

[0040] In some implementations of the second aspect of this disclosure, the first configuration information is used to configure the second prediction method, the second configuration information is used to configure a cell list, the cell list including one or more cell identifiers for the interval prediction, and the fourth configuration information is used to configure a prediction time configuration, the prediction time configuration being used to configure the period and / or time slot offset of the interval prediction, wherein the prediction time configuration is associated with one or more cells.

[0041] In some implementations of the second aspect of this disclosure, the second configuration information and the fourth configuration information are used to determine the cell for the interval prediction and the prediction time configuration associated with the cell; the RRM measurement prediction result of the cell is obtained through the interval prediction based on the determined prediction time configuration.

[0042] In some implementations of the second aspect of this disclosure, the communication method further includes: sending an RRM measurement timing configuration to the first communication device, the RRM measurement timing configuration being used to configure the timing of RRM measurements, and the RRM measurement timing configuration and the determined prediction time configuration being used to obtain the RRM measurement prediction result of the cell through the interval prediction.

[0043] In some implementations of the second aspect of this disclosure, the first configuration information is used to configure the third prediction method, the second configuration information is used to configure a cell list, the cell list including one or more cell identifiers for the advance prediction, and the fifth configuration information is used to configure the prediction window configuration, the prediction window configuration being used to configure one or more of the prediction time length, the number of reference signal instances, and the reference signal instance interval for the advance prediction, wherein the prediction window configuration is associated with one or more cells.

[0044] In some implementations of the second aspect of this disclosure, the second configuration information and the fifth configuration information are used to determine the cell for the advance prediction and the prediction window configuration associated with the cell; the determined prediction window configuration is used to obtain the RRM measurement prediction result of the cell through the advance prediction.

[0045] In some implementations of the second aspect of this disclosure, the second communication device sends a plurality of first configurations to the first communication device, and the communication method further includes: sending downlink control signaling to the first communication device, the downlink control signaling being used to activate one or more of the plurality of first configurations; and the RRM measurement prediction result of the second cell is obtained based on the activated one or more first configurations.

[0046] In some implementations of the second aspect of this disclosure, the downlink control signaling includes one or more first configuration identifiers, the one or more first configuration identifiers in the downlink control signaling being used to determine one or more first configurations for activation.

[0047] In a third aspect of this disclosure, a communication device is provided. The communication device includes units or modules for implementing the method according to any one of the first aspects, or includes units or modules for implementing the method according to any one of the second aspects.

[0048] In a fourth aspect of this disclosure, a communication device is provided. It includes: at least one memory for storing computer-executable instructions; and at least one processor configured to execute the computer-executable instructions to cause the communication device to perform a method according to any one of the first or second aspects.

[0049] In a fifth aspect of this disclosure, a communication system is provided. The communication system includes: a first means configured to perform the communication method according to any one of the first aspects; and a second means configured to perform the communication method according to any one of the second aspects.

[0050] In a sixth aspect of this disclosure, a computer-readable storage medium is provided having instructions stored thereon that, when executed by a communication device, cause the communication device to perform a communication method according to any one of the first or second aspects.

[0051] In a seventh aspect of this disclosure, a computer program product is provided, which stores instructions that, when executed, cause the communication method according to any one of the first or second aspects to be performed.

[0052] In an eighth aspect of this disclosure, a chip is provided, including processing circuitry configured to perform a communication method according to any one of the first or second aspects.

[0053] Those skilled in the art will understand that the embodiments according to the second to eighth aspects of this disclosure can achieve the same or corresponding technical effects as the implementation of the first aspect of this disclosure. Attached Figure Description

[0054] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein: Figure 1 A schematic diagram of an example communication system in which embodiments of this disclosure may be implemented is shown; Figure 2 A schematic signaling interaction diagram of a communication process according to some embodiments of the present disclosure is shown; Figure 3 A schematic block diagram of model prediction processing according to some embodiments of the present disclosure is shown; Figure 4 A schematic signaling interaction diagram of a communication process according to some embodiments of the present disclosure is shown; Figure 5A A schematic diagram of a first prediction method according to some embodiments of the present disclosure is shown; Figure 5BA schematic diagram of a second prediction method according to some embodiments of the present disclosure is shown; Figure 5C A schematic diagram of a third prediction method according to some embodiments of the present disclosure is shown; Figure 6 A schematic signaling interaction diagram of a communication process according to some embodiments of the present disclosure is shown; Figure 7 A method flowchart of a communication process according to some embodiments of the present disclosure is shown; Figure 8 A schematic scenario diagram of inter-frequency prediction according to some embodiments of the present disclosure is shown; Figure 9 A schematic block diagram of a communication apparatus according to some embodiments of the present disclosure is shown; Figure 10 A schematic block diagram of another communication device according to some embodiments of the present disclosure is shown; and Figure 11 A schematic block diagram of an example device that can be used to implement embodiments of the present disclosure is shown. Detailed Implementation

[0055] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0056] The term "terminal device" as used in this document refers to any terminal device capable of wireless communication. As an example and not a limitation, a terminal device may also be referred to as a communication device, user equipment (UE), subscriber station (SS), portable subscriber station, mobile station (MS), or access terminal (AT). Terminal devices can include, but are not limited to, mobile phones, smartphones, Voice over Internet Protocol (VoIP) phones, wireless local loop phones, tablets, wearable terminal devices, personal digital assistants (PDAs), portable computers, desktop computers, image acquisition terminal devices such as digital cameras, gaming terminal devices, music storage and playback devices, in-vehicle wireless terminal devices, wireless endpoints, mobile stations, laptop embedded equipment (LEE), laptop mounted equipment (LME), universal serial bus (USB) dongles, smart devices, wireless customer premises equipment (CPE), Internet of Things (IoT) devices, watches or other wearable devices, head-mounted displays (HMDs), vehicles, drones, medical devices and applications (such as remote surgery), industrial devices and applications (such as robots and / or other wireless devices in industrial and / or automated processing chain contexts), consumer electronics devices, and devices operating on commercial and / or industrial wireless networks. "Terminal devices" can also be relay devices. In the following description, the terms “terminal equipment”, “communication equipment”, “terminal”, “user equipment” and “UE” are used interchangeably.

[0057] In the embodiments of this disclosure, any device capable of data communication with a base station can be considered a terminal device. A terminal device is also referred to as a terminal, terminal apparatus, user equipment (UE), mobile station, or mobile terminal, etc. Terminal devices can be widely used in various scenarios. For example, a terminal device can be: a mobile phone, computer, mobile internet device (MID), wearable device, virtual reality (VR) device, augmented reality (AR) device, station (STA), robotic arm, camera, robot, vehicle, drone, helicopter, airplane, ship, or smart home device (e.g., television, air conditioner, robot vacuum cleaner, speaker, set-top box), relay, customer premises equipment (CPE), etc.

[0058] Furthermore, in the embodiments of this disclosure, the terminal device can also be a terminal device in an IoT system, such as a water meter or electricity meter. IoT is an important component of future information technology development, and its main technical characteristic is connecting objects to networks through communication technology, thereby realizing an intelligent network that enables human-machine interconnection and object-to-object interconnection.

[0059] When the terminal device is applied to V2X, it can also be called a V2X device, such as a smart car, digital car, unmanned car, driverless car, pilotless car, autonomous car, pure electric vehicle, hybrid electric vehicle (HEV), range-extended electric vehicle (REEV), plug-in hybrid electric vehicle (PHEV), new energy vehicle, and RSU.

[0060] The various terminal devices described above, if located in a vehicle (e.g., placed / installed inside the vehicle), can all be considered in-vehicle terminal devices. In-vehicle terminal devices can be built into a vehicle's in-vehicle module, in-vehicle component, in-vehicle chip, or in-vehicle unit as one or more components or units. The vehicle can implement the methods of this disclosure through the built-in in-vehicle module, in-vehicle component, in-vehicle chip, or in-vehicle unit. In-vehicle terminal devices can be vehicle equipment, in-vehicle modules, vehicles, in-vehicle units (on-board units, OBUs), remote sensing units (RSUs), in-vehicle infotainment systems (or in-vehicle transmission units) (telematics boxes, T-boxes), chips, or systems on a chip (SOCs), etc. These chips or SOCs can be installed in the vehicle, OBU, RSU, or T-box.

[0061] In the embodiments of this disclosure, the means for implementing the functions of the terminal device can be the terminal device itself, or it can be a means that supports the terminal device in implementing the functions, such as a chip system or a combination of devices or components that can implement the functions of the terminal device. The embodiments of this disclosure do not limit the specific technology or specific device form used in the terminal device.

[0062] Taking a network device as a base station and a terminal device as a UE as an example, the base station and UE can be fixed or mobile. The base station and UE 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 on airplanes, balloons, and artificial satellites. The embodiments of this disclosure do not limit the application scenarios of the base station and UE.

[0063] The term "network device" as used herein refers to a node in a communication network through which terminal devices access the network and receive services. Depending on the terminology and technology used, a network device can refer to a base station (BS) or access point (AP), such as a Node B (NodeB or NB), an evolved Node B (eNodeB or eNB), an NR NB (also known as a gNB), a remote radio unit (RRU), a remote radio head (RRH), a relay, a low-power node such as a pico or femtocell, and so on. In some embodiments, the BS or AP can be mobile, such as a satellite associated with a non-terrestrial network. In this document, "base station" can have the full range of its common meaning and includes at least a wireless communication station installed in a fixed location for communication as part of a wireless telephone system or radio system.

[0064] In embodiments of this disclosure, the network device can be implemented as a central unit (CU) - distributed unit (DU) separation architecture. This CU-DU separation architecture may include one CU and one or more DUs. It should be understood that the CU may also be referred to as gNB-CU, and the DU may also be referred to as gNB-DU. The CU is used to carry the radio resource control (RRC) layer, the service data adaptation protocol (SDAP) layer, and the packet data convergence protocol (PDCP). The DU is used to carry the radio link control (RLC) layer, the medium access control (MAC) layer, and the physical (PHY) layer. The CU controls the one or more DUs. Of course, the network device can also be implemented as a non-separated architecture.

[0065] In embodiments of this disclosure, the network device may be a radio access network (RAN) device. The RAN may be a 3GPP-related cellular system, such as a 5G / new radio (NR) mobile communication system, or a future-oriented evolution system (e.g., a 6G mobile communication system). The RAN may also be an open RAN (O-RAN or ORAN), a cloud radio access network (CRAN), or a virtualized RAN (vRAN), etc. The RAN may also be a communication system that integrates two or more of the above systems. The RAN device may also be referred to as a RAN node, RAN entity, or access node, etc.

[0066] In one possible scenario, a RAN node can be a base station, an evolved NodeB (eNodeB), an access point (AP), a transmission reception point (TRP), a next-generation NodeB (gNB), a next-generation base station in a 6G mobile communication system, or a base station in a future mobile communication system. RAN nodes can be macro base stations, micro base stations, indoor stations, relay nodes, donor / host nodes, or radio controllers. RAN nodes can also be servers, wearable devices, vehicles, or in-vehicle equipment. For example, in V2X technology, a RAN node can be a roadside unit (RSU). In another possible scenario, a RAN node can be a module or unit that performs some of the functions of a base station; or multiple RAN nodes can collaborate to assist terminal devices in achieving wireless access, with different RAN nodes performing some of the functions of a base station. For example, a RAN node can be a central unit (CU), a distributed unit (DU), or a radio unit (RU). The functions of a CU can be implemented by a single entity or by different entities. For example, the functions of the CU can be further divided, that is, the control plane and the user plane can be separated and implemented through different entities, namely the control plane CU entity (i.e., CU-control plane (CP) entity) and the user plane CU entity (i.e., CU-user plane (UP) entity). This CU-CP entity and CU-UP entity can be coupled with the DU to jointly complete the functions of the RAN node. The CU and DU can be set up separately, or they can be included in the same network element, such as in the baseband unit (BBU). Any of the CU (or CU-CP, CU-UP), DU, and RU units in this disclosure can be implemented through software modules, hardware modules, or a combination of software and hardware modules.

[0067] In different systems, CU (or CU-CP and CU-UP), DU, or RU may have different names, but those skilled in the art will understand their meaning. For example, in an ORAN system, CU can also be called O-CU (open CU), DU can also be called O-DU, CU-CP can also be called O-CU-CP, CU-UP can also be called O-CU-UP, and RU can also be called O-RU. For ease of description, this disclosure uses CU, CU-CP, CU-UP, DU, and RU as examples.

[0068] The CU and DU can be configured according to the protocol layer functions of the wireless network they implement: for example, the CU can be configured to implement the functions of the PDCP layer and above (such as the RRC layer and / or the Service Data Adaptation Protocol (SDAP) layer); the DU can be configured to implement the functions of the protocol layers below the PDCP layer (such as the RLC, Media Access Control (MAC) layer, and / or the Physical (PHY) layer). For specific descriptions of the above protocol layers, please refer to the relevant 3GPP technical specifications or the technical specifications of other applicable communication protocols.

[0069] The above division of the processing functions of CU and DU according to protocol layers is merely an example; other division methods are also possible, and this disclosure is not restrictive. For example, in one design, CU or DU can be further divided into processing functions with protocol layers. In one design, some functions of the RLC layer and the functions of the protocol layers above the RLC layer are located in the CU, while the remaining functions of the RLC layer and the functions of the protocol layers below the RLC layer are located in the DU.

[0070] In another design, the DU and RU collaborate to implement the PHY layer functionality, or, more specifically, a portion of the PHY layer functionality of the DU is moved to the RU. A DU can be connected to one or more RUs. The functions of the DU and RU can be configured in various ways depending on the design. For example, the DU may be configured to implement baseband functions, and the RU may be configured to implement mid-RF functions. Alternatively, the DU may be configured to implement higher-level functions in the PHY layer, and the RU may be configured to implement lower-level functions in the PHY layer, or both lower-level and RF functions. Higher-level functions in the physical layer may include a portion of the physical layer's functionality closer to the MAC layer, and lower-level functions in the physical layer may include another portion of the physical layer's functionality closer to the mid-RF side. This disclosure does not limit the specific functions of the DU and RU. The interface between the DU and RU may be referred to as a fronthaul interface. In one design, the CU may not have a PDCP layer; for example, the CU may only include an RRC layer. The CU-CP may not have PDCP-C. The CU-UP may not have PDCP-U, or may not have a CU-UP. In one design, the DU may not have an RLC layer; for example, the DU may only have a MAC and a higher PHY layer.

[0071] When the RAN is O-RAN, it can also have artificial intelligence (AI) capabilities. For example, O-RAN includes an intelligent controller. The intelligent controller can be a non-real-time RAN intelligent controller (RIC / non-RT RIC / NRTRIC) or a near-real-time RAN intelligent controller (RIC / nRT RIC / nRT RIC). A non-real-time RIC can be used to implement non-real-time intelligent management of RAN functions, enabling workflows including model training and updates, and guiding applications / functions in the nRT RIC based on policies. A near-real-time RIC can be used to implement near-real-time intelligent management of the RAN. Through data collection and related operations on the E2 interface, near-real-time control and optimization of O-RAN modules and resources are achieved.

[0072] In the embodiments of this disclosure, the means for implementing the functions of the network device can be the network device itself, or it can be a means that supports the network device in implementing the functions, such as a chip system or a combination of devices or components that can implement the functions of the network device. This means can be installed in the network device. The embodiments of this disclosure do not limit the specific technology or specific device form used in the network device.

[0073] In this document, the term "communication device" refers to a device that enables the functionality of a terminal device or network device. A communication device can be the terminal device or network device itself, or it can be a component of the terminal device or network device, such as a chip. A chip can be, for example, a system-on-a-chip (SoC), a modem, etc.

[0074] As used herein, the term "channel" refers to any tangible or intangible transmission medium used to transmit data or data streams. The term "channel" may be synonymous or equivalent with "communication channel," "data communication channel," "transmission channel," "data transmission channel," "access channel," "data access channel," "link," "data link," "carrier," "radio frequency carrier," or any other similar term that indicates a path or medium through which data is transmitted.

[0075] The term "information element" refers to a structural element that contains one or more fields. The term "field" refers to the individual content of an information element, or the data element that contains that content. An information element may include one or more additional information elements.

[0076] The term "identifier" in this article refers to information used for identification and differentiation, and can also be expressed in the form of identifier, ID, index, etc.

[0077] In the embodiments of this disclosure, time can be represented by time units, which generally refer to units of time. A time unit can be a radio frame, subframe, slot, mini-slot, OFDM symbol, hour (h), minute (min), second (s), millisecond (ms), partial OFDM symbol, OOK (On-Off Keying) symbol, OOK time unit, or a fraction of a millisecond (e.g., 1 / 32ms). Alternatively, a time unit can be multiple radio frames, multiple subframes, multiple slots, multiple mini-slots, multiple OFDM symbols, several hours, several minutes, several seconds, several milliseconds (ms), multiple partial OFDM symbols, multiple OOK symbols, multiple OOK time units, or a fraction of a millisecond. A radio frame can include multiple subframes, a subframe can include one or more slots, and a slot can include at least one OFDM symbol. Alternatively, a radio frame can include multiple slots, and a slot can include at least one OFDM symbol. For ease of distinction, in the embodiments of this disclosure, the time unit mapped by OOK modulation is called an OOK time unit, and an OFDM symbol may include one or more OOK time units. For ON mode, the OOK time unit is also called an OOK ON time unit. An OOK time unit can also be referred to as an OOK symbol.

[0078] This can be understood as a cell or frequency point. "Cell" can be understood as "cell frequency point," "carrier frequency," "carrier frequency point," "frequency point," point A, ARFCN (Absolute Radio-Frequency Channel Number), frequency number, carrier frequency, etc., and these terms are interchangeable unless otherwise specified. A frequency point can be the center frequency point, carrier frequency, the frequency domain position corresponding to the frequency number, the frequency domain position corresponding to the center of the frequency band, the frequency domain position, the center frequency point of the bandwidth portion, or the frequency domain position corresponding to the center of the bandwidth portion.

[0079] The term "comprising" or similar expressions in this document mean open inclusion, i.e., "including but not limited to". The term "based on" should be understood as "at least partially based on". The term "one embodiment" or "this embodiment" should be understood as "at least one embodiment". The terms "first", "second", etc., can refer to different or the same objects. The term "and / or" means at least one of the two items associated with it. For example, "a and / or b" means a, b, or "a and b". The character " / " generally indicates that the related objects are in an "or" relationship. The term "at least one" means one or more items. The term "at least one of the following" or similar expressions mean any combination of these items, including any combination of single items or multiple items. For example, "at least one of a, b, c" can mean a, b, c, "a and b", "a and c", "b and c", or "a, b and c". Other terms will be defined in the description below.

[0080] The 3rd Generation Partnership Project (3GPP) of the international standards organization is actively exploring and standardizing the integration of communication and intelligence in the 5G-A phase, covering the application of artificial intelligence (AI) in the physical layer, access network, core network, and network management. Regarding access network applications, research is underway on technical solutions related to radio resource management (RRM) measurement and prediction.

[0081] In related technical solutions, an AI model for RRM measurement prediction can be configured at the terminal device. Real-world measurement information or indicators are used as input to the AI ​​model, and the prediction result is obtained through the AI ​​model's predictive processing. However, the inventors of this disclosure have discovered that in scenarios such as measurement prediction for different cells at different frequency points (inter-frequency prediction), the terminal device cannot grasp or determine the model input and output for the prediction measurement of the target cell, resulting in large prediction errors. In some cases, due to the large prediction error, the terminal device has to perform multiple measurement predictions or revert to traditional measurements, leading to problems such as low model prediction efficiency and increased communication system overhead.

[0082] To this end, embodiments of this disclosure provide a communication scheme in which a communication device receives a first configuration, wherein the first configuration includes information associated with one or more of the following: co-location, quasi-co-location, and cell pairing of a first cell and a second cell; based on the first configuration, an RRM measurement prediction result for the second cell is obtained, wherein the first configuration is used to determine the first cell, the first cell is used for the Radio Resource Management (RRM) measurement prediction of the second cell, and the frequency point of the first cell is different from the frequency point of the second cell. In this way, embodiments of this disclosure can achieve the beneficial technical effects of improving the accuracy and efficiency of RRM measurement prediction and reducing communication system overhead.

[0083] The principles and implementation of this solution will be described in detail below with reference to the accompanying drawings.

[0084] Figure 1 A schematic diagram of an example communication system 100 that may be implemented in accordance with embodiments of the present disclosure is shown.

[0085] like Figure 1 As shown, the communication system 100 may include at least one terminal device ( Figure 1 The diagram shows terminal devices 110-1 and 110-2 (hereinafter referred to as terminal device 110 for convenience) and at least one network device ( Figure 1 The image shows network device 120 and satellite 130. Network device 120 and satellite 130 in this document are Radio Access Network (RAN) devices. Network device 120 and satellite 130 can provide one or more cells ( Figure 1 Cell 121 is shown in the diagram, serving one or more terminal devices. Satellite 130 can employ a transparent forwarding mode, acquiring downlink data from access network device 120 and forwarding it to terminal device 110, as well as forwarding uplink data received from terminal device 110 to access network device 120, performing only filtering, frequency conversion, RF amplification, and RF transceiver on-board. Satellite 130 can also employ a regenerative forwarding mode, possessing all or part of the functions of a gNB, performing functions such as modulation, demodulation, and channel coding / decoding. When using regenerative forwarding mode, satellite 130 itself becomes a network device, such as an access network device.

[0086] Terminal device 110 can connect wirelessly to network device 120 and satellite 130. Terminal devices 110-1 and 110-2 can connect wirelessly. Network device 120 and satellite 130 can connect wirelessly.

[0087] like Figure 1 As shown, the communication system 100 may further include a core network (CN) 140. Terminal device 110 can communicate with one or more CN devices (not shown) in CN 140 via network device 120 and satellite 130. Network device 120 and satellite 130 can be connected to CN 140 wirelessly or via wired means. Network device 120 can be implemented as a physical device independent of CN devices, or it can be implemented as a physical device integrating some of the functions of CN devices.

[0088] In the following text, for the sake of brevity, network device 120 can be used in a broad sense, which may include satellite 130. In this case, satellite 130 adopts regenerative forwarding mode and has all or part of the functions of gNB.

[0089] It should be understood that Figure 1The number and type of terminal devices or network devices described are merely examples and do not imply any limitation on this disclosure. Communication system 100 may involve any suitable number of terminal devices and / or network devices and / or cells suitable for implementing embodiments of this disclosure.

[0090] The communication in communication system 100 can conform to any suitable communication standard, including but not limited to wideband code division multiple access (WCDMA), code division multiple access (CDMA), long-term evolution (LTE), LTE evolution, LTE-Advanced (LTE-A), machine-type communication (MTC), etc. Furthermore, communication between terminal equipment and network equipment can be performed according to any suitable generation communication protocol, including but not limited to fourth-generation (4G), fifth-generation (5G), sixth-generation (6G) communication protocols, future wireless communication protocols, or other existing or future suitable communication protocols.

[0091] It should be noted that the embodiments of this disclosure can be applied to various suitable communication systems. Considering the rapid development of communication technologies, there will naturally be future types of communication technologies and systems, which this disclosure may be combined with. Communication system 100 is merely an example and does not imply that the scope of this disclosure is limited to a specific system.

[0092] Continue to refer to Figure 1 Terminal device 110 and network device 120 can communicate via a wireless communication channel. The channel from terminal device 110 to network device 120 can be referred to as the uplink channel. The channel from network device 120 to terminal device 110 can be referred to as the downlink channel.

[0093] Figure 2 A schematic signaling interaction diagram of a communication process according to some embodiments of the present disclosure is shown.

[0094] like Figure 2As shown, in communication process 200, at 210, terminal device 110 receives a first configuration from network device 120, wherein the first configuration includes information associated with one or more of co-location, quasi-co-location, and cell pairing of a first cell and a second cell. At 220, terminal device 110 obtains an RRM measurement prediction result for the second cell based on the first configuration received at 210. The first configuration is used to determine the first cell, which is used for Radio Resource Management (RRM) measurement prediction of the second cell, and the frequency of the first cell is different from that of the second cell. In some embodiments, at 230, terminal device 110 sends a measurement prediction report to network device 120, the prediction measurement report including the RRM measurement prediction result for the second cell obtained at 220. It should be understood that in some embodiments, terminal device 110 may or may not send the RRM measurement prediction result for the second cell obtained at 220 to network device 120 at 230. In some embodiments, network device 120 may perform mobility management based on RRM measurement prediction results of the second cell received from terminal device 110.

[0095] In some embodiments of this disclosure, the terminal device 110 obtains the RRM measurement result of the first cell through RRM measurement; and obtains the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell through RRM measurement prediction.

[0096] In some embodiments of this disclosure, a model for RRM measurement prediction is configured at terminal device 110. The model is used for inter-frequency prediction, wherein: the input of the model includes one or more RRM measurement results corresponding to one or more first cells, wherein the RRM measurement results include signal quality related to the reference signal of the cell, and the output of the model includes RRM measurement prediction results for the second cell.

[0097] In some embodiments of this disclosure, the first configuration is used to determine one or more of the following: the first cell and the second cell are co-located; the first cell and the second cell are quasi-co-located with reference signals; the first cell and the second cell are paired, wherein the RRM measurement result of the first cell is used as input to a model for predicting the RRM measurement prediction result of the second cell.

[0098] In some embodiments of this disclosure, the first configuration includes one or more of the following: a first configuration identifier indicating an identifier of the first configuration; first indication information indicating a cell identifier; second indication information indicating co-location and / or quasi-co-location; third indication information indicating cell pairing, the cell pairing including a set of cell identifiers forming a pair; fourth indication information indicating a reference signal type used for RRM measurement prediction; and fifth indication information indicating a cell matching identifier used to identify cell matching relationships. In some embodiments of this disclosure, one or more of the first configuration are included in the second configuration.

[0099] In some embodiments of this disclosure, the first indication information is used to determine the first cell, and the second indication information is used to determine that the first cell and the second cell have a co-location relationship. The terminal device 110 obtains the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the co-location relationship.

[0100] In some embodiments of this disclosure, the first indication information is used to determine the first cell, the second indication information is used to determine that the reference signal of the first cell and the reference signal of the second cell have a quasi-co-location relationship, and the fourth indication information is used to determine the reference signal type used for RRM measurement prediction. The terminal device 110 obtains the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the quasi-co-location relationship.

[0101] In some embodiments of this disclosure, the second indication information is used to indicate a quasi-co-location type, which includes one or more of the following: a first quasi-co-location type, indicating that one or more of Doppler frequency shift, Doppler spread, average delay, and delay spread are similar and / or the same; a second quasi-co-location type, indicating that one or more of Doppler frequency shift and Doppler spread are similar and / or the same; a third quasi-co-location type, indicating that one or more of Doppler frequency shift and average delay are similar and / or the same; and a fourth quasi-co-location type, indicating that spatial reception parameters are similar and / or the same. The terminal device 110 obtains the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the quasi-co-location type.

[0102] In some embodiments of this disclosure, the third indication information is used to determine the first cell paired with the second cell. The terminal device 110 obtains the RRM measurement prediction result for the second cell based on the RRM measurement result of the first cell.

[0103] In some embodiments of this disclosure, the fifth indication information is used to determine the cell matching identifier of the first cell and the cell matching identifier of the second cell. Specifically, the terminal device 110 determines that the RRM measurement result of the first cell can be used for the RRM measurement prediction of the second cell based on the fact that the cell matching identifiers of the first cell and the second cell are the same.

[0104] In some embodiments of this disclosure, the second configuration includes one or more of the following: a second configuration identifier indicating an identifier of the second configuration; first configuration information indicating a prediction method type; second configuration information indicating a cell list, the cell list including one or more cell information; third configuration information indicating a frequency list, the frequency list including one or more frequency information; fourth configuration information indicating a prediction time configuration; and fifth configuration information indicating a prediction window configuration.

[0105] In some embodiments of this disclosure, the prediction method type in the first configuration information includes one or more of the following: a first prediction method, which corresponds to inter-frequency prediction; a second prediction method, which corresponds to interval prediction; and a third prediction method, which corresponds to advance prediction.

[0106] In some embodiments of this disclosure, the first configuration information is used to configure the first prediction method, the cell list configured by the second configuration information includes the first cell and / or the second cell, the frequency point list configured by the third configuration information includes the frequency point of the first cell and / or the frequency point of the second cell, and the second configuration information and the third configuration information are used to determine that the frequency point of the first cell is different from the frequency point of the second cell.

[0107] In some embodiments of this disclosure, the first configuration information is used to configure the second prediction method, the second configuration information is used to configure a cell list, the cell list including one or more cell identifiers for the interval prediction, and the fourth configuration information is used to configure a prediction time configuration, the prediction time configuration being used to configure the period and / or time slot offset of the interval prediction, wherein the prediction time configuration is associated with one or more cells.

[0108] In some embodiments of this disclosure, the terminal device 110 determines the cell for the interval prediction and the prediction time configuration associated with the cell based on the second configuration information and the fourth configuration information; based on the determined prediction time configuration, the terminal device 110 obtains the RRM measurement prediction result of the cell through the interval prediction.

[0109] In some embodiments of this disclosure, terminal device 110 receives RRM measurement timing configuration from network device 120. The RRM measurement timing configuration is used to configure the timing of RRM measurement. The terminal device 110 obtains the RRM measurement prediction result of the cell by predicting the interval based on the RRM measurement timing configuration and the determined prediction time configuration.

[0110] In some embodiments of this disclosure, the first configuration information is used to configure the third prediction method, the second configuration information is used to configure a cell list, the cell list including one or more cell identifiers for the advance prediction, and the fifth configuration information is used to configure the prediction window configuration, the prediction window configuration being used to configure one or more of the prediction time length, the number of reference signal instances, and the reference signal instance interval for the advance prediction, wherein the prediction window configuration is associated with one or more cells.

[0111] In some embodiments of this disclosure, the terminal device 110 determines the cell for the advance prediction and the prediction window configuration associated with the cell based on the second configuration information and the fifth configuration information; based on the determined prediction window configuration, the RRM measurement prediction result of the cell is obtained through the advance prediction.

[0112] In some embodiments of this disclosure, terminal device 110 receives a plurality of first configurations from network device 120. Terminal device 110 receives downlink control signaling from network device 120, the downlink control signaling being used to activate one or more of the plurality of first configurations; based on the activated one or more first configurations, it obtains the RRM measurement prediction result of the second cell.

[0113] In some embodiments of this disclosure, the downlink control signaling includes one or more first configuration identifiers, and one or more first configurations for activation are determined based on the one or more first configuration identifiers in the downlink control signaling.

[0114] In some embodiments of this disclosure, terminal device 110 sends a measurement prediction report to network device 120, the prediction measurement report including the RRM measurement prediction results of the second cell.

[0115] In embodiments of this disclosure, the fact that the frequency of the first cell is different from that of the second cell can also indicate that the frequency of the first cell is different from that of the second cell.

[0116] According to embodiments of this disclosure, by obtaining the explicitly configured co-location, quasi-co-location, and pairing relationships between the first and second cells from the network side through a terminal device, and understanding the relationship between model input and output to perform inter-frequency prediction, the accuracy of inter-frequency RRM measurement prediction can be improved and communication system overhead can be reduced.

[0117] Figure 3 A schematic block diagram of model prediction processing according to some embodiments of the present disclosure is shown.

[0118] like Figure 3 As shown, model 300 is configured, for example, at terminal device 110. Model 300 is, for example, an Artificial Intelligence (AI) model for RRM measurement prediction. The input 310 of model 300 includes one or more actual RRM measurement results obtained through RRM measurement, and the output 320 of model 300 includes one or more RRM measurement prediction results obtained through RRM measurement prediction based on model 300. In some embodiments, the prediction type of model 300 includes one or more of a first prediction method, a second prediction method, and a third prediction method, wherein the first prediction method corresponds to inter-frequency prediction, the second prediction method corresponds to interval prediction, and the third prediction method corresponds to advance prediction. It should be understood that in the embodiments of this disclosure, model 300 configured at terminal device 110 is used as an example for illustrative purposes, but all or part of model 300 can also be configured at one or more nodes including the access network and core network, or at other terminal nodes including other terminal devices.

[0119] In some embodiments, terminal device 110 obtains the RRM measurement result of the first cell, for example, through actual RRM measurements, and uses it as input to model 300. Furthermore, terminal device 110 obtains the RRM measurement prediction result of the second cell, for example, through RRM measurement prediction based on model 300, using the RRM measurement result of the first cell as input to model 300, and uses it as output to model 300. According to embodiments of this disclosure, for example, embodiments of this disclosure can obtain the prediction result of the second cell based on the actual RRM measurement result of the first cell, reducing the number of actual measurements for inter-frequency cells while maintaining measurement accuracy, and reducing measurement overhead in the time domain, frequency domain, and spatial domain.

[0120] In some embodiments, the input to model 300 may include one or more RRM measurement results corresponding to one or more first cells, wherein the RRM measurement results include signal quality related to a reference signal of the cell, and the output of model 300 may include RRM measurement prediction results for the second cell. According to embodiments of this disclosure, for example, embodiments of this disclosure can utilize an AI model configured on a terminal to perform inter-frequency prediction, inferring the channel quality of inter-frequency cells based on measurement results of reference signals (such as SSB / CSI-RS), reducing the measurement frequency of reference signals, and lowering the measurement overhead of the communication system.

[0121] Figure 4 A schematic signaling interaction diagram of a communication process according to some embodiments of the present disclosure is shown.

[0122] like Figure 4 As shown, in communication process 400, at 410, terminal device 110 receives a first configuration and a second configuration from network device 120. The first configuration includes information associated with one or more of the following: co-location, quasi-co-location, and cell pairing of a first cell and a second cell. The second configuration is used to configure configuration information related to RRM measurement prediction. It should be understood that although the illustration shows terminal device 110 receiving the first and second configurations at 410, the first and second configurations can be received by terminal device 110 together or independently. Additionally or alternatively, all or part of the first configuration and all or part of the second configuration can be received by the terminal device together or independently. This disclosure does not limit the configuration related to signaling reception. At 420, terminal device 110 obtains the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell, based on the first and second configurations received at 410. The first configuration is used to determine the first cell, which is used for Radio Resource Management (RRM) measurement prediction of the second cell, and the frequency of the first cell is different from the frequency of the second cell. In some embodiments, at 430, terminal device 110 sends a measurement prediction report to network device 120, the prediction measurement report including the RRM measurement prediction result of the second cell obtained at 420. It should be understood that in some embodiments, regarding the RRM measurement prediction result of the second cell obtained at 420, terminal device 110 may or may not send it to network device 120 at 430. In some embodiments, network device 120 may perform mobility management based on the RRM measurement prediction result of the second cell received from terminal device 110.

[0123] In some embodiments of this disclosure, in order to enable terminal device 110 to perform RRM inter-frequency prediction based on AI model 300, network device 120 sends a first configuration and a second configuration to terminal device 110 for inference configuration related to model 300. In some embodiments, the first configuration may be the co-location, quasi-co-location, or pairing situation between cells and / or reference signals related to inter-frequency prediction. In some embodiments, the second configuration may be the inference configuration, which can be used to instruct the terminal to perform relevant configurations for model inference. In some embodiments, the first configuration and the second configuration may be located in the same configuration information element (IE) or in different configuration IEs. According to embodiments of this disclosure, for example, embodiments of this disclosure can establish the channel characteristic correlation between the measurement cell and the target cell in inter-frequency prediction by explicitly configuring the co-location, quasi-co-location, and pairing relationships between the first cell and the second cell, ensuring that the large-scale fading experienced by the input and output signals of the prediction model is similar, and improving prediction reliability.

[0124] In some embodiments of this disclosure, the first configuration includes one or more of the following: a first configuration identifier indicating the identifier of the first configuration; a first indication information indicating a cell identifier; a second indication information indicating co-location and / or quasi-co-location; a third indication information indicating cell pairing, wherein the cell pairing includes a set of cell identifiers forming a pair; a fourth indication information indicating a reference signal type used for RRM measurement prediction; and a fifth indication information indicating a cell matching identifier used to identify cell matching relationships. According to embodiments of this disclosure, for example, embodiments of this disclosure can explicitly specify the model input-output relationship of inter-frequency prediction by using parameters and / or combinations of the configuration identifier, cell identifier, co-location / quasi-co-location indication, cell pairing, reference signal type, and cell matching identifier, thereby improving the accuracy of RRM measurement prediction.

[0125] In some embodiments of this disclosure, the second configuration includes one or more of the following: a second configuration identifier, indicating the identifier of the second configuration; first configuration information, indicating the prediction method type; second configuration information, indicating a cell list, the cell list including one or more cell information; third configuration information, indicating a frequency point list, the frequency point list including one or more frequency point information; fourth configuration information, indicating the prediction time configuration; and fifth configuration information, indicating the prediction window configuration. According to embodiments of this disclosure, for example, embodiments of this disclosure can support various RRM measurement prediction scenarios such as inter-frequency prediction, interval prediction, and advance prediction through parameters such as the second configuration identifier, prediction method type, cell / frequency point list, prediction time configuration, and prediction window configuration, and / or combinations thereof.

[0126] In some embodiments of this disclosure, the second configuration may include, for example, a second configuration identifier, indicating the identifier of the second configuration, such as an inference configuration identifier. The second configuration may include, for example, first configuration information, wherein the first configuration information indicates a prediction method type. In some embodiments, the first configuration information may be, for example, a prediction method identifier, used to distinguish the specific prediction method type corresponding to the inference configuration identifier under the second configuration, allowing for a one-to-one correspondence between different prediction method types and prediction method identifiers. In some embodiments, the prediction method type in the first configuration information includes one or more of the following: a first prediction method, corresponding to inter-frequency prediction; a second prediction method, corresponding to interval prediction; and a third prediction method, corresponding to advance prediction. According to embodiments of this disclosure, for example, embodiments of this disclosure can flexibly configure inter-frequency prediction, interval prediction, or advance prediction methods according to network requirements, achieving flexible indication of the prediction method.

[0127] Figure 5A A schematic diagram of a first prediction method according to some embodiments of the present disclosure is shown. For example... Figure 5A As shown, in the first prediction method 500A, for example, the two cells corresponding to frequency point 1 and frequency point 2 have a co-location / quasi-co-location / pairing relationship. Terminal device 110 performs actual measurements on a portion of the frequency bands according to the configuration of network device 120. For example, for the cell corresponding to frequency point 2, the actual measured signal quality is used as input, and model 300 predicts the signal quality of other frequency band cells in the inter-frequency cell corresponding to frequency point 1, thereby achieving inter-frequency prediction processing. This reduces, for example, the number of actual measurements on the cell corresponding to frequency point 1 (such as reducing the measurement frequency of the SSB / CSI-RS signal of that cell), correspondingly reducing measurements in the time domain, frequency domain, and spatial domain, thereby reducing terminal power consumption.

[0128] In embodiments of this disclosure, the first configuration information is used to configure the first prediction method, the cell list configured by the second configuration information includes the first cell and / or the second cell, the frequency point list configured by the third configuration information includes the frequency point of the first cell and / or the frequency point of the second cell, and the second configuration information and the third configuration information are used to determine that the frequency point of the first cell is different from the frequency point of the second cell.

[0129] In some embodiments of this disclosure, for example, the prediction method type configured in the first configuration information of the second configuration is a first prediction method, thereby achieving the same as... Figure 5AThe first prediction method 500A shown corresponds to inter-frequency prediction processing. In some embodiments, network device 120 sends relevant first and second configurations to terminal device 110. In some embodiments, the first configuration is used to provide co-location, quasi-co-location, and / or reference signal pairing information for the cells to be predicted in the second configuration. Terminal device 110 can determine the reference signal (such as SSB, CSI-RS, etc.) corresponding to the specific cell used for model input and output according to the first configuration. In the embodiments of this disclosure, the reason why terminal device 110 needs network device 120 to provide co-location / quasi-co-location / reference signal pairing information for inter-frequency measurement is that the cell corresponding to the input reference signal for inter-frequency prediction is co-located and / or quasi-co-located with the cell corresponding to the output reference signal, thereby ensuring that the large-scale fading experienced by the input reference signal and the output reference signal is similar.

[0130] In some embodiments, network device 120 can configure the frequency points to be used for inter-frequency prediction and / or for actual measurement through frequency point list parameters in the second configuration (e.g., third configuration information indicating the frequency point list, which includes one or more frequency point information). In some embodiments, network device 120 can configure cell identifiers (e.g., first indication information indicating cell identifiers), situation identifiers (e.g., second indication information indicating co-location and / or quasi-co-location situations), and reference signals (e.g., fourth indication information indicating the type of reference signal used for RRM measurement prediction) in the first configuration. In some embodiments, the cell identifier in the first configuration can be represented by one or more combinations of cell PCI and cell global identifier CGI. In some embodiments, the reference signal in the first configuration can be configured as SSB or CSI-RS to indicate the reference signal type corresponding to co-location / quasi-co-location. In some embodiments, the situation identifier in the first configuration is used to indicate whether a cell and / or its reference signal in the first configuration is co-located and / or quasi-co-located with a specific cell and / or its reference signal in the cell list in the second configuration. In some embodiments, the situation identifier can be indicated by a Boolean value. In some embodiments, network device 120 may be configured, for example, to indicate the co-location / quasi-co-location configuration of the inter-frequency cell or its reference signal to be predicted, and / or to indicate the model input reference signal corresponding to the inter-frequency cell to be predicted, by configuring cell pairing parameters in the first configuration (e.g., third indication information indicating cell pairing, the cell pairing including a set of cell identifiers forming the pair). In some embodiments, network device 120 may provide one or more specific matching cells for each cell to be predicted in the first and second configurations. After receiving the first and second configurations, terminal device 110 can obtain the co-location / quasi-co-location cell or its reference signal corresponding to the cell to be predicted or its reference signal through the cell pairing parameters in the first configuration. Thus, when terminal device 110 performs inter-frequency prediction, the cell pairing parameters in the first configuration can provide source information of the model input signal.

[0131] According to embodiments of this disclosure, for example, embodiments of this disclosure can achieve inter-frequency prediction processing through information or parameter configuration, thereby reducing communication system overhead.

[0132] Figure 5B A schematic diagram of a second prediction method according to some embodiments of the present disclosure is shown. For example... Figure 5B As shown, in the second prediction method 500B, for example, actual measurement and model prediction are performed at intervals, thereby reducing the number of actual measurements (such as reducing the measurement frequency of SSB / CSI-RS signals of the cell) by using model prediction as a supplement, thereby reducing terminal power consumption.

[0133] In embodiments of this disclosure, the first configuration information is used to configure the second prediction method, the second configuration information is used to configure a cell list, the cell list including one or more cell identifiers for the interval prediction, and the fourth configuration information is used to configure a prediction time configuration, the prediction time configuration being used to configure the period and / or time slot offset of the interval prediction, wherein the prediction time configuration is associated with one or more cells. In some embodiments, the terminal device determines the cell for the interval prediction and the prediction time configuration associated with that cell based on the second configuration information and the fourth configuration information; based on the determined prediction time configuration, the RRM measurement prediction result of the cell is obtained through the interval prediction. In some embodiments, the terminal device receives an RRM measurement timing configuration, the RRM measurement timing configuration being used to configure the timing of RRM measurement; based on the RRM measurement timing configuration and the determined prediction time configuration, the RRM measurement prediction result of the cell is obtained through the interval prediction. In some embodiments of this disclosure, for example, the prediction method type configured in the first configuration information of the second configuration is the second prediction method, thereby achieving the same as... Figure 5B The second prediction method 500B shown corresponds to the interval prediction processing. In some embodiments, the interval prediction can be based on co-frequency interval prediction with reduced measurements. In some embodiments, the second configuration configures a cell list (e.g., second configuration information, indicating the cell list, which includes one or more cell information) and a prediction time configuration (e.g., fourth configuration information, indicating the prediction time configuration) to indicate the required prediction period for cells in the cell list configured by the terminal device that require co-frequency interval prediction. For example, in some embodiments, the second configuration may include second configuration information indicating a cell list including one or more cell information and fourth configuration information indicating the prediction time configuration. In some embodiments, the prediction time configuration and the cell list configuration are in a one-to-one correspondence. In some embodiments, a prediction time configuration corresponding to a specific cell is configured for each specific cell in the cell list. In other embodiments, the prediction time configuration and the cell list configuration may also be in a one-to-many relationship, for example, one prediction time configuration may correspond to multiple cells. In some embodiments, the terminal device 110 may receive an RRM measurement timing configuration (SMTC), which is used to configure the timing of RRM measurements. In this way, the terminal device can determine the specific period and / or time offset corresponding to the actual measurement and the predicted measurement based on the measurement object configuration in the network side configuration and the prediction time configuration in the second configuration, thereby obtaining the RRM measurement prediction result of the corresponding cell through interval prediction.

[0134] According to embodiments of this disclosure, for example, embodiments of this disclosure can achieve interleaved scheduling of actual RRM measurements and predicted measurements by configuring the period and time slot offset of the interval prediction, thereby reducing the frequency of actual measurements and reducing terminal energy consumption.

[0135] Figure 5C A schematic diagram of a third prediction method according to some embodiments of the present disclosure is shown. For example... Figure 5C As shown, in the third prediction method 500C, for example, the terminal device 110 predicts the signal quality in the subsequent prediction window based on the actual signal quality measured in the observation window. Based on the predicted signal quality, it determines whether the event measurement reporting configured on the network side is triggered, thereby sending a measurement report to the network device 120 in advance to prepare for handover, thereby improving handover performance and reducing the probability of handover failure.

[0136] In embodiments of this disclosure, the first configuration information is used to configure the third prediction method, the second configuration information is used to configure a cell list, the cell list including one or more cell identifiers for the advance prediction, and the fifth configuration information is used to configure the prediction window configuration. The prediction window configuration is used to configure one or more of the following: prediction time length, number of reference signal instances, and reference signal instance interval for the advance prediction, wherein the prediction window configuration is associated with one or more cells. In some embodiments, the terminal device determines the cell for the advance prediction and the prediction window configuration associated with that cell based on the second configuration information and the fifth configuration information; based on the determined prediction window configuration, the RRM measurement prediction result of the cell is obtained through the advance prediction.

[0137] In some embodiments of this disclosure, for example, the prediction method type configured in the first configuration information of the second configuration is a third prediction method, thereby achieving the same as... Figure 5CThe third prediction method 500C shown corresponds to the advance prediction processing. In some embodiments, this advance prediction can be based on in-frequency advance prediction to improve handover performance. In some embodiments, the cell list (e.g., second configuration information, indicating the cell list, the cell list including one or more cell information) and the prediction window size (e.g., fifth configuration information, indicating the prediction window configuration) are configured in the second configuration to indicate the prediction window size corresponding to the cells in the cell list configured by the terminal that need to be predicted in advance. In some embodiments, the prediction window size can be configured as a specific time length, such as 40ms, 80ms, or 100ms. In some embodiments, the prediction window size can also be configured as the number of reference signal instances to be predicted, so that the required prediction window size can be determined according to the time configuration of the corresponding reference signal. In some embodiments, the prediction window configuration and the cell list configuration have a one-to-one correspondence. In some embodiments, a prediction window configuration corresponding to a specific cell is configured for each specific cell in the cell list. In other embodiments, the prediction window configuration and the cell list configuration can also have a one-to-many relationship, for example, one prediction window configuration can correspond to multiple cells. As a non-limiting embodiment, the prediction window size and the cell list can be in a one-to-one correspondence or a one-to-many relationship, for example, one prediction window size corresponds to multiple cells that need to be predicted.

[0138] According to embodiments of this disclosure, for example, embodiments of this disclosure can provide time window parameters for advance prediction by configuring the prediction time length, the number of reference signal instances and the instance interval, support signal quality inference based on the observation window, and realize advance triggering of measurement reports.

[0139] Figure 6 A schematic signaling interaction diagram of a communication process according to some embodiments of the present disclosure is shown.

[0140] like Figure 6 As shown, in communication process 600, at 610, terminal device 110 receives a first configuration and a second configuration from network device 120, wherein the first configuration includes information associated with one or more of co-location, quasi-co-location, and cell pairing of a first cell and a second cell, wherein the second configuration is used to configure configuration information related to RRM measurement prediction. Figure 6In this embodiment, terminal device 110 receives a plurality of first configurations from network device 120. It should be understood that although the illustration shows terminal device 110 receiving the first configuration and the second configuration at 610, the first configuration and the second configuration may be received by terminal device 110 together or independently. Additionally or alternatively, all or a portion of the first configuration and all or a portion of the second configuration may be received by the terminal device together or independently. This disclosure does not limit the related configurations for signaling reception. At 615, downlink control signaling is received, which is used to activate one or more of the plurality of first configurations. In some embodiments, the downlink control signaling includes one or more first configuration identifiers, wherein terminal device 110 can determine one or more first configurations to be activated based on the one or more first configuration identifiers in the downlink control signaling. At 620, terminal device 110 obtains the RRM measurement prediction result of the second cell based on the RRM measurement result of the activated first cell, based on the one or more first configurations received at 610 and activated at 615 and the second configuration received at 610. In this configuration, the first configuration is used to determine the first cell, which is used for Radio Resource Management (RRM) measurement prediction of the second cell, and the frequency of the first cell is different from that of the second cell. In some embodiments, at 630, the terminal device 110 sends a measurement prediction report to the network device 120, the prediction measurement report including the RRM measurement prediction result of the second cell obtained at 620. It should be understood that in some embodiments, the terminal device 110 may or may not send the RRM measurement prediction result of the second cell obtained at 620 to the network device 120 at 630. In some embodiments, the network device 120 may perform mobility management based on the RRM measurement prediction result of the second cell received from the terminal device 110.

[0141] As a non-limiting embodiment, in the communication process 600, the network device 120 may first send a first configuration to the terminal device 110, informing the terminal device 110 of one or more of the co-location, quasi-co-location, and matching status of the inter-frequency predicted cell (or its reference signal) with other cells (or their reference signals). In some embodiments, the number of matching cells (or their reference signals) configured for the inter-frequency predicted cell (or its reference signal) may be one or more. In some embodiments, the first configuration may include a first configuration identifier for indicating the identifier of the first configuration, thereby distinguishing the matching status of each inter-frequency predicted cell (or its reference signal) with each of its configured co-location / quasi-co-location cells (or their reference signals) according to the first configuration identifier. For example, if one inter-frequency predicted cell (or its reference signal) corresponds to two co-location / quasi-co-location cells (or their reference signals), two first configuration identifiers may be configured to indicate each pairing relationship. Then, the network device 120 may send downlink control signaling (such as low-layer signaling) to the terminal device 110 to activate a specific co-location / quasi-co-location status sent through the first configuration. In some implementations, downlink control signaling can be activated using MAC CE or DCI. In some implementations, downlink control signaling can activate the co-location / quasi-co-location state corresponding to the first configuration identifier by indicating the first configuration identifier in the first configuration. In some embodiments, the terminal device 110 can obtain the input signal-related information of the cell to be measured in the second configuration according to the received lower-layer control signaling and the first configuration, thereby completing the inter-frequency prediction according to the received first configuration, second configuration, and lower-layer control signaling. Accordingly, the terminal device 110 can periodically / event-triggeredly report the prediction results according to the reporting configuration.

[0142] According to embodiments of this disclosure, for example, embodiments of this disclosure can dynamically activate specific configurations among multiple first configurations through downlink control signaling (such as DCI, MAC CE), adapting to the dynamic changes in cell co-location / quasi-co-location / matching relationships in mobile scenarios, and improving the flexibility and real-time performance of predictive configurations.

[0143] Figure 7 A method flowchart of a communication process according to some embodiments of the present disclosure is shown.

[0144] like Figure 7As shown, in the communication process 700, at 710, network device 120 sends a first configuration, a second configuration, and other configurations for RRM inter-frequency prediction with AI model 300 to terminal device 110, such as measurement object configuration, thereby configuring the inter-frequency prediction and reporting functions of terminal device 110. Correspondingly, terminal device 110 receives the first configuration, the second configuration, and other configurations from network device 120. At 720, terminal device 110 performs actual measurements for the first cell. For example, terminal device 120 can obtain one or more frequency points and measurement object configurations required for inter-frequency prediction based on the received second configuration, and perform actual measurements on the inter-frequency prediction frequency points based on the measurement timing configuration (SMTC) in the measurement object configuration corresponding to the inter-frequency prediction frequency points. In some embodiments, the duration of the actual measurement can be explicitly configured based on the terminal device 110 implementation and / or the first configuration, thereby obtaining the cell identifier (such as cell ID) corresponding to the inter-frequency prediction frequency points. At 730, terminal device 110 performs inter-frequency prediction for the second cell. For example, after terminal device 110 obtains the cell identifier corresponding to the inter-frequency predicted frequency point, if the obtained inter-frequency cell identifier is configured as a measurable cell by the corresponding measurement object (e.g., configured through parameters such as cellsToRemoveList and cellsToAddModList in the measurement object), the inter-frequency cell can obtain the co-location / quasi-co-location / reference signal matching information corresponding to the inter-frequency cell through the cell list parameter and / or cell pairing parameter in the first configuration. As described above, network device 120 can directly send the first configuration to inform terminal device 110 of the co-location / quasi-co-location cell or its reference signal of the inter-frequency cell or its reference signal, or it can dynamically activate it by first sending the first configuration and then sending downlink control signaling. Accordingly, terminal device 110 can obtain the input reference signal matching information for model prediction of the inter-frequency predicted cell or its reference signal according to the received first configuration and / or downlink control signaling, for example: inter-frequency predicted cell A and cell B are co-location cells, inter-frequency predicted cell A, cell B, and cell C are co-location cells, and the reference signal SSB of inter-frequency predicted cell A and the reference signal SSB of cell B are quasi-co-location. Therefore, terminal device 110 can predict the signal quality of inter-frequency cells based on the above information, thereby reducing / eliminating actual measurements of inter-frequency cells. At 740, terminal device 110 reports the actual measurement results of the first cell and the inter-frequency prediction results of the second cell to network device 120. For example, terminal device 110 periodically / event-triggeredly reports the actual measurement results and / or prediction results based on the actual measurement results / model prediction results and the reporting configuration configured by network device 120. In some embodiments, for the reported inter-frequency prediction cell, terminal device 110 may, for example, report the result most recently predicted based on the co-location / quasi-co-location / reference signal pairing information configured in the first configuration.According to embodiments of this disclosure, for example, embodiments of this disclosure can enable the network side to make mobility management decisions based on AI / ML prediction results by reporting RRM measurement prediction results to the network side, thereby optimizing handover performance and network resource scheduling.

[0145] Figure 8 A schematic scenario diagram of inter-frequency prediction according to some embodiments of the present disclosure is shown. For example... Figure 8 As shown, in communication scenario 800, there are multiple base stations, such as base station A 810 and base station B 820. Base station A includes multiple cells, such as cell 1 801 and cell 2 802. The frequency of cell 1 801 is f1 and the frequency of cell 2 802 is f2. Base station B includes multiple cells, such as cell 3 803 and cell 4 804. The frequency of cell 3 803 is f1 and the frequency of cell 4 804 is f2. The frequencies f1 and f2 are different.

[0146] According to embodiments of this disclosure, network device 120 can configure / indicate the co-location relationship of inter-frequency cells (e.g., a first cell and a second cell are co-located) to terminal device 110. In some embodiments, first indication information in the first configuration is used to determine the first cell, and second indication information is used to determine that the first cell and the second cell have a co-location relationship. Accordingly, terminal device 110 obtains the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the co-location relationship.

[0147] As a non-limiting embodiment regarding co-location configuration, for example, network device 120 can configure co-location cells to inter-frequency predicted cells corresponding to the frequency point list and / or cell list in the second configuration using the cell identifier in the first configuration. In the network deployment / base station deployment / cell deployment of communication scenario 800, cell 1 801 and cell 2 802 can be co-location cells, and cell 3 803 and cell 4 804 can be co-location cells. In the embodiments of this disclosure, the reference signal strength of cell 2 802 can be predicted by the actual measurement value of the reference signal of cell 1 801, and the reference signal strength of cell 4 804 can be predicted by the actual measurement value of the reference signal of cell 3 803. Thus, in the embodiments of this disclosure, terminal device 110 can reduce / avoid the actual measurement of frequency point f2. Accordingly, network device 120 can send a first configuration to terminal device 110 to distinguish the co-located cells corresponding to different inter-frequency prediction cells under the same required prediction frequency point, thereby explicitly providing terminal device 110 with the co-location information of the required inter-frequency prediction cells and realizing the matching relationship between model input and output reference signals. As a non-limiting embodiment, for example, terminal device 110 predicts the reference signal size of cell 2 802 based on the actual measurement results of the reference signal of cell 1 801, and predicts the reference signal size of cell 4 804 based on the actual measurement results of the reference signal of cell 3 803. In some embodiments, the number of co-located cells configured for inter-frequency prediction cells may be one or more. Terminal device 110 can select one or more actual measurement cell results from the configured co-located cells to predict the reference signal size of the inter-frequency cell according to its own implementation, or it can send downlink control signaling to dynamically activate the indication, so that terminal device 110 selects the indicated actual measurement cell result to predict the reference signal size of the inter-frequency cell.

[0148] In some embodiments, as a non-limiting co-location configuration, it can be configured, for example, as follows: ● Inter-frequency prediction cell identifier: 1 ● Actual measurement of cell markers: 2 ●Situation Indicator: Co-located In some embodiments of this disclosure, the above co-location configuration may be included, for example, in the measurement object configuration or in the inference configuration (e.g., the second configuration).

[0149] According to embodiments of this disclosure, for example, embodiments of this disclosure can predict the channel quality of a second cell based on the actual measurement results of a first cell by utilizing the high similarity of channel characteristics between co-located cells, thereby reducing the measurement requirements of inter-frequency cells and lowering measurement overhead.

[0150] According to embodiments of this disclosure, network device 120 can configure / indicate quasi-co-location relationships of inter-frequency cells (e.g., quasi-co-location of reference signals between a first cell and a second cell) to terminal device 110. In some embodiments, first indication information in the first configuration is used to determine the first cell, second indication information is used to determine that the reference signals of the first cell and the reference signals of the second cell have a quasi-co-location relationship, and fourth indication information is used to determine the reference signal type used for RRM measurement prediction. Accordingly, terminal device 110 obtains the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the quasi-co-location relationship. In some embodiments, the second indication information is used to indicate a quasi-co-location type, which includes one or more of the following: a first quasi-co-location type, indicating that one or more of Doppler frequency shift, Doppler spread, average delay, and delay spread are similar and / or the same; a second quasi-co-location type, indicating that one or more of Doppler frequency shift and Doppler spread are similar and / or the same; a third quasi-co-location type, indicating that one or more of Doppler frequency shift and average delay are similar and / or the same; and a fourth quasi-co-location type, indicating that spatial reception parameters are similar and / or the same. Accordingly, the terminal device 110 obtains the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the quasi-co-location type.

[0151] As a non-limiting embodiment regarding quasi-co-location configuration, network device 120 can configure quasi-co-location signals to inter-frequency predicted cell reference signals corresponding to the frequency point list and / or cell list in the second configuration using parameters such as cell identifier, reference signal, and situation identifier in the first configuration. For example... Figure 8As shown, the reference signals of cell 1 801 and cell 2 802 are quasi-co-located, with frequency points f1 and f2 for the two cells, respectively. Therefore, when configuring the first configuration corresponding to inter-frequency prediction cell 2802, in some embodiments, network device 120 can configure the reference signal as SSB or CSI-RS, the cell identifier as PCI or CGI of cell 1 801 or a combination thereof, and the situation identifier as quasi-co-located, or the detailed situation identifier as a specific quasi-co-located type. Quasi-co-located types can be divided into several categories, each indicating the channel characteristics between the two reference signals. For example, type A indicates similar / identical Doppler shift, Doppler spread, average delay, and delay spread; type B indicates similar / identical Doppler shift and Doppler spread; type C indicates similar / identical Doppler shift and average delay; and type D indicates similar / identical spatial reception parameters. Similarly, network device 120 can also configure a corresponding first configuration for inter-frequency prediction cell 3803, wherein the cell identifier indicates the index of cell 4804. In some embodiments, network device 120 can directly send a quasi-co-location configuration based on the first configuration via RRC, or it can subsequently send downlink control signaling to dynamically activate the quasi-co-location configuration. Accordingly, terminal device 110 can select the input and output signals for inter-frequency prediction based on one or more received first configurations and / or downlink control signaling for activation.

[0152] In some embodiments, as a non-limiting quasi-co-address configuration, it can be configured, for example, as follows: ● Inter-frequency prediction cell identifier: 1 ● Actual measurement of cell markers: 2 ●Reference signal: SSB ●Situation Identifier: Quasi-co-location Type A In some embodiments of this disclosure, the aforementioned quasi-co-location configuration may be included, for example, in a measurement object configuration or in an inference configuration (e.g., a second configuration).

[0153] In some embodiments of this disclosure, a quasi-co-location (QCL) relationship can be understood, for example, as follows: if the channel characteristics of a symbol on one antenna port can be inferred from the channel characteristics of a symbol on another antenna port, then the two antenna ports are said to be quasi-co-located. In some embodiments, a quasi-co-location type defines a reference relationship between signals in terms of physical layer behavior. For example, each quasi-co-location type may specify that two signals can assume similar characteristics, such as Doppler shift, Doppler spread, average delay, delay spread, or spatial reception parameters. By defining these relationships, the network side allows terminal devices to reuse channel estimation and spatial filtering results of known reference signals, thereby reducing the processing burden and enabling fast beam switching between control and data channels.

[0154] In some embodiments, the quasi-co-location of signal A and signal B can be determined based on one or more of the following: signal A and signal B experience similar channel conditions; the antennas transmitting signal A and signal B are located close to each other or originate from the same antenna; signal A and signal B originate from the same transmit-receive point (TRP); and channel characteristics inferred from measured signal A / signal B are used to assist in measuring channel B / channel A. In some embodiments, the channel characteristics described above include one or more of the following: Doppler frequency shift; Doppler spread; average time delay; time delay spread; spatial reception parameters. It should be understood that "quasi-co-location" in this disclosure is not limited to these, and those skilled in the art can also implement and determine the quasi-co-location relationship between cells or signals according to specific designs.

[0155] According to embodiments of this disclosure, for example, embodiments of this disclosure enable terminals to perform inter-frequency prediction based on cell reference signals with quasi-co-location relationships, thereby reducing the burden of channel measurement processing.

[0156] According to embodiments of this disclosure, network device 120 can configure / indicate inter-frequency cell pairing relationships to terminal device 110 (e.g., a first cell paired with a second cell, wherein the RRM measurement results of the first cell are used as input to a model for predicting the RRM measurement prediction results of the second cell). In some embodiments, third indication information in the first configuration is used to determine the first cell paired with the second cell. Accordingly, terminal device 110 obtains the RRM measurement prediction results regarding the second cell based on the RRM measurement results of the first cell.

[0157] As a non-limiting embodiment regarding cell pairing configuration (model input / output pairing), network device 120 can use the cell pairing parameters configured in the first configuration to input cells or their reference signals that match the inter-frequency prediction cells or their reference signals corresponding to the frequency point list and / or cell list in the second configuration. In some embodiments, the required cells or their reference signals can be directly input into the model corresponding to the cell configuration for which inter-frequency prediction needs to be performed, without explicitly configuring co-location / quasi-co-location information. In some embodiments, terminal device 110 can configure one or more matching cells or their reference signals for an inter-frequency prediction cell or its reference signal. Terminal device 110 can selectively select the reference signals of one or more configured cells as input or use the reference signals of the configured matching cells as model input to perform inter-frequency prediction.

[0158] In some embodiments, as a non-limiting pairing configuration, it can be configured, for example, as follows: Pairing information: { - Inter-frequency prediction cell identifier: 1 - Actual measurement of cell markers: 2 } In some embodiments of this disclosure, the pairing information may be included, for example, in the measurement object configuration or in the inference configuration (e.g., the second configuration).

[0159] According to embodiments of this disclosure, for example, embodiments of this disclosure can specify the mapping relationship between the measurement cell corresponding to the inter-frequency prediction model input and the target cell corresponding to the model output through explicit cell pairing configuration, thereby simplifying the prediction processing on the terminal side and improving the accuracy of model input and output.

[0160] According to embodiments of this disclosure, network device 120 may configure / indicate cell matching relationships of inter-frequency cells to terminal device 110 (e.g., fifth indication information, indicating a cell matching identifier for identifying the cell matching relationship). In some embodiments, the fifth indication information in the first configuration is used to determine the cell matching identifier of the first cell and the cell matching identifier of the second cell. Accordingly, based on the fact that the cell matching identifiers of the first cell and the second cell are the same, terminal device 110 determines that the RRM measurement result of the first cell can be used for the RRM measurement prediction of the second cell. In some embodiments, terminal device 110 determines that the RRM measurement result of the first cell can be used for the RRM measurement prediction of the second cell based on the association between the cell matching identifiers of the first cell and the second cell.

[0161] As a non-limiting embodiment regarding the cell matching identifier method, network device 120 can configure the same identifier for each cell requiring inter-frequency measurement and its actual measurement cell that can be used as model input, using a first configured cell matching identifier (e.g., ID, index), thereby enabling the selection reference for model input signals and model output signals. In this embodiment, network device 120 configures an associated cell matching identifier for each inter-frequency prediction cell and actual measurement cell, so that terminal device 110 performs input / output matching selection for inter-frequency prediction based on the associated cell matching identifier. For example, when terminal device 110 performs model prediction for the inter-frequency prediction cell corresponding to cell matching identifier 10, the cell matching identifier of the actual measurement cell corresponding to the source of its input reference signal is also 10. It should be understood that in the above example, the model input and model output are associated with the same cell matching identifier for the actual measurement cell and the model prediction cell. In other embodiments, the cell matching identifiers for the actual measurement cell and the model prediction cell may also be different, as long as terminal device 110 can identify the corresponding association relationship. For example, when the terminal device 110 performs model prediction for the inter-frequency predicted cell corresponding to the cell matching identifier 11, the cell matching identifier of the real measured cell corresponding to the source of the input reference signal can be 12, which is the same as the first value of 11. Of course, the specific association method is not limited to this, and those skilled in the art can make corresponding designs or adjustments according to the specific circumstances.

[0162] In some embodiments, as a non-limiting cell matching identifier configuration, it can be configured as follows: { - Inter-frequency prediction cell identifier: 1 - Cell matching identifier: 10 ... } { - Predicted cell identifiers: 2 - Cell matching identifier: 10 ... } In some embodiments of this disclosure, the aforementioned cell matching identifier may be included, for example, in the measurement object configuration or in the inference configuration (e.g., the second configuration).

[0163] According to embodiments of this disclosure, for example, embodiments of this disclosure can utilize cell matching identifiers to establish the association between measured cells and predicted cells, supporting multiple measured cells under the same matching identifier to provide input for the same predicted cell, thereby enhancing the flexibility of prediction configuration.

[0164] In some embodiments of this disclosure, one or more of the above-described first configurations (co-location configuration, quasi-co-location configuration, cell pairing configuration, cell matching identifier configuration, etc.) may be included in the second configuration. According to embodiments of this disclosure, for example, by including at least a portion of the first configuration in the second configuration, the number of independent signaling transmissions can be reduced, configuration signaling overhead optimized, and parameter configuration efficiency improved.

[0165] Those skilled in the art will understand that, although the above description of this disclosure uses the example of model 300 configured at terminal device 110 as an example, all or part of model 300 may also be configured at one or more nodes including the access network and core network (e.g., configured at network device 120), or may be configured at other terminal nodes including other terminal devices.

[0166] Figure 9 A schematic block diagram of a communication device 900 according to some embodiments of the present disclosure is shown. The communication device 900 may be implemented as a terminal device 110 as discussed above, or a part of a terminal device 110 (such as a chip), etc., and this disclosure is not limiting in this regard. Figure 9 As shown, the communication device 900 may include a receiving module 910 and a transmitting module 920. The communication device 900 may be configured to: receive a first configuration, wherein the first configuration includes information associated with one or more of co-location, quasi-co-location, and cell pairing of a first cell and a second cell; and based on the first configuration, obtain an RRM measurement prediction result for the second cell, wherein the first configuration is used to determine the first cell, the first cell is used for the Radio Resource Management (RRM) measurement prediction of the second cell, and the frequency of the first cell is different from the frequency of the second cell.

[0167] In some implementations of this disclosure, the communication device 900 is further configured to: receive a second configuration, the second configuration being used to configure configuration information related to RRM measurement prediction; and obtain the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell, based on the first configuration and the second configuration.

[0168] In some implementations of this disclosure, the communication device 900 is further configured to: obtain the RRM measurement result of the first cell through RRM measurement; and obtain the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell through RRM measurement prediction.

[0169] In some implementations of this disclosure, a model for RRM measurement prediction is configured at the communication device 900. The model is used for inter-frequency prediction, wherein: the input of the model includes one or more RRM measurement results corresponding to one or more first cells, wherein the RRM measurement results include signal quality related to the reference signal of the cell, and the output of the model includes RRM measurement prediction results for the second cell.

[0170] In some implementations of this disclosure, the first configuration is used to determine one or more of the following: the first cell and the second cell are co-located; the first cell and the second cell are quasi-co-located with reference signals; the first cell and the second cell are paired, wherein the RRM measurement results of the first cell are used as input to a model for predicting the RRM measurement prediction results of the second cell.

[0171] In some implementations of this disclosure, the first configuration includes one or more of the following: a first configuration identifier indicating the identifier of the first configuration; a first indication information indicating a cell identifier; a second indication information indicating co-location and / or quasi-co-location; a third indication information indicating cell pairing, wherein the cell pairing includes a set of cell identifiers forming a pair; a fourth indication information indicating a reference signal type used for RRM measurement prediction; and a fifth indication information indicating a cell matching identifier used to identify cell matching relationships.

[0172] In some implementations of this disclosure, the first indication information is used to determine the first cell, the second indication information is used to determine that the first cell and the second cell have a co-location relationship, and the communication method further includes: obtaining the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the co-location relationship.

[0173] In some implementations of this disclosure, the first indication information is used to determine the first cell, the second indication information is used to determine that the reference signal of the first cell and the reference signal of the second cell have a quasi-co-location relationship, the fourth indication information is used to determine the reference signal type for RRM measurement prediction, and the communication method further includes: obtaining the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the quasi-co-location relationship.

[0174] In some implementations of this disclosure, the second indication information is used to indicate a quasi-co-location type, which includes one or more of the following: a first quasi-co-location type, indicating that one or more of Doppler frequency shift, Doppler spread, average delay, and delay spread are similar and / or the same; a second quasi-co-location type, indicating that one or more of Doppler frequency shift and Doppler spread are similar and / or the same; a third quasi-co-location type, indicating that one or more of Doppler frequency shift and average delay are similar and / or the same; and a fourth quasi-co-location type, indicating that spatial reception parameters are similar and / or the same. The communication method further includes: obtaining the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the quasi-co-location type.

[0175] In some implementations of this disclosure, the third indication information is used to determine the first cell paired with the second cell, and the communication method further includes: obtaining the RRM measurement prediction result for the second cell based on the RRM measurement result of the first cell.

[0176] In some implementations of this disclosure, the fifth indication information is used to determine the cell matching identifier of the first cell and the cell matching identifier of the second cell. Based on the fact that the cell matching identifier of the first cell and the cell matching identifier of the second cell are the same, it is determined that the RRM measurement result of the first cell can be used for the RRM measurement prediction of the second cell.

[0177] In some implementations of this disclosure, one or more of the items in the first configuration are included in the second configuration.

[0178] In some implementations of this disclosure, the second configuration includes one or more of the following: a second configuration identifier, indicating the identifier of the second configuration; a first configuration information, indicating the prediction method type; a second configuration information, indicating a cell list, the cell list including one or more cell information; a third configuration information, indicating a frequency point list, the frequency point list including one or more frequency point information; a fourth configuration information, indicating the prediction time configuration; and a fifth configuration information, indicating the prediction window configuration.

[0179] In some implementations of this disclosure, the prediction method type in the first configuration information includes one or more of the following: a first prediction method, which corresponds to inter-frequency prediction; a second prediction method, which corresponds to interval prediction; and a third prediction method, which corresponds to advance prediction.

[0180] In some implementations of this disclosure, the first configuration information is used to configure the first prediction method, the cell list configured by the second configuration information includes the first cell and / or the second cell, the frequency point list configured by the third configuration information includes the frequency point of the first cell and / or the frequency point of the second cell, and the second configuration information and the third configuration information are used to determine that the frequency point of the first cell is different from the frequency point of the second cell.

[0181] In some implementations of this disclosure, the first configuration information is used to configure the second prediction method, the second configuration information is used to configure a cell list, the cell list includes one or more cell identifiers for the interval prediction, and the fourth configuration information is used to configure a prediction time configuration, the prediction time configuration is used to configure the period and / or time slot offset of the interval prediction, wherein the prediction time configuration is associated with one or more cells.

[0182] In some implementations of this disclosure, the communication device 900 is further configured to: determine a cell for the interval prediction and a prediction time configuration associated with the cell based on the second configuration information and the fourth configuration information; and obtain the RRM measurement prediction result of the cell through the interval prediction based on the determined prediction time configuration.

[0183] In some implementations of this disclosure, the communication device 900 is further configured to: receive an RRM measurement timing configuration, the RRM measurement timing configuration being used to configure the timing of RRM measurements; and, based on the RRM measurement timing configuration and the determined prediction time configuration, obtain the RRM measurement prediction result of the cell through the interval prediction.

[0184] In some implementations of this disclosure, the first configuration information is used to configure the third prediction method, the second configuration information is used to configure a cell list, the cell list includes one or more cell identifiers for the advance prediction, and the fifth configuration information is used to configure the prediction window configuration, the prediction window configuration is used to configure one or more of the prediction time length, the number of reference signal instances, and the reference signal instance interval for the advance prediction, wherein the prediction window configuration is associated with one or more cells.

[0185] In some implementations of this disclosure, the communication device 900 is further configured to: determine a cell for the advance prediction and a prediction window configuration associated with the cell based on the second configuration information and the fifth configuration information; and obtain the RRM measurement prediction result of the cell through the advance prediction based on the determined prediction window configuration.

[0186] In some implementations of this disclosure, the communication device 900 receives a plurality of first configurations, and the communication method further includes: receiving downlink control signaling, the downlink control signaling being used to activate one or more of the plurality of first configurations; and obtaining RRM measurement prediction results of the second cell based on the activated one or more first configurations.

[0187] In some implementations of this disclosure, the downlink control signaling includes one or more first configuration identifiers, and one or more first configurations for activation are determined based on the one or more first configuration identifiers in the downlink control signaling.

[0188] In some implementations of this disclosure, the communication device 900 is further configured to: send a measurement prediction report, the prediction measurement report including the RRM measurement prediction results of the second cell.

[0189] Figure 10 A schematic block diagram of another communication device 1000 according to some embodiments of the present disclosure is shown. The communication device 1000 may be implemented as a network device 120 as discussed above, or a part of a network device 120 (such as a chip), etc., and this disclosure is not limiting in this regard. Figure 10 As shown, the communication device 1000 may include a transmitting module 1010 and a receiving module 1020. The communication device 1000 may be configured to: transmit a first configuration to the communication device 900, wherein the first configuration includes information associated with one or more of co-location, quasi-co-location, and cell pairing of a first cell and a second cell; and receive a measurement prediction report from the communication device 900, wherein the prediction measurement report includes RRM measurement prediction results of the second cell, the RRM measurement prediction results of the second cell being obtained based on the first configuration, wherein the first configuration is used to determine the first cell, the first cell being used for Radio Resource Management (RRM) measurement prediction of the second cell, and the frequency point of the first cell being different from the frequency point of the second cell.

[0190] In some implementations of this disclosure, the communication device 1000 is further configured to send a second configuration to the communication device 900, the second configuration being used to configure configuration information related to RRM measurement prediction, wherein the second configuration and the first configuration are used by the communication device 900 to obtain the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell.

[0191] In some implementations of this disclosure, the RRM measurement result of the first cell is obtained by RRM measurement; the RRM measurement prediction result of the second cell is obtained by reasoning through a model for RRM measurement prediction using the RRM measurement result of the first cell as model input.

[0192] In some implementations of this disclosure, a model for RRM measurement prediction is configured at the communication device 900. The model is used for inter-frequency prediction, wherein: the input of the model includes one or more RRM measurement results corresponding to one or more first cells, wherein the RRM measurement results include signal quality related to the reference signal of the cell, and the output of the model includes RRM measurement prediction results for the second cell.

[0193] In some implementations of this disclosure, the first configuration is used to determine one or more of the following: the first cell and the second cell are co-located; the first cell and the second cell are quasi-co-located with reference signals; the first cell and the second cell are paired, wherein the RRM measurement results of the first cell are used as input to a model for predicting the RRM measurement prediction results of the second cell.

[0194] In some implementations of this disclosure, the first configuration includes one or more of the following: a first configuration identifier indicating the identifier of the first configuration; a first indication information indicating a cell identifier; a second indication information indicating co-location and / or quasi-co-location; a third indication information indicating cell pairing, wherein the cell pairing includes a set of cell identifiers forming a pair; a fourth indication information indicating a reference signal type used for RRM measurement prediction; and a fifth indication information indicating a cell matching identifier used to identify cell matching relationships.

[0195] In some implementations of this disclosure, the first indication information is used to determine the first cell, and the second indication information is used to determine that the first cell and the second cell have a co-location relationship, wherein the RRM measurement result of the first cell and the co-location relationship are used to obtain the RRM measurement prediction result of the second cell.

[0196] In some implementations of this disclosure, the first indication information is used to determine the first cell, the second indication information is used to determine that the reference signal of the first cell and the reference signal of the second cell have a quasi-co-location relationship, and the fourth indication information is used to determine the reference signal type for RRM measurement prediction, wherein the RRM measurement result of the first cell and the quasi-co-location relationship are used to obtain the RRM measurement prediction result of the second cell.

[0197] In some implementations of this disclosure, the second indication information is used to indicate a quasi-co-location type, which includes one or more of the following: a first quasi-co-location type, indicating that one or more of Doppler frequency shift, Doppler spread, average delay, and delay spread are similar and / or the same; a second quasi-co-location type, indicating that one or more of Doppler frequency shift and Doppler spread are similar and / or the same; a third quasi-co-location type, indicating that one or more of Doppler frequency shift and average delay are similar and / or the same; and a fourth quasi-co-location type, indicating that spatial reception parameters are similar and / or the same, wherein the RRM measurement results of the first cell and the quasi-co-location type are used to obtain the RRM measurement prediction results of the second cell.

[0198] In some implementations of this disclosure, the third indication information is used to determine the first cell paired with the second cell, wherein the RRM measurement results of the first cell are used to obtain the RRM measurement prediction results for the second cell.

[0199] In some implementations of this disclosure, the fifth indication information is used to determine the cell matching identifier of the first cell and the cell matching identifier of the second cell, wherein the cell matching identifier of the first cell and the cell matching identifier of the second cell are the same to determine that the RRM measurement result of the first cell can be used for the RRM measurement prediction of the second cell.

[0200] In some implementations of this disclosure, one or more of the items in the first configuration are included in the second configuration.

[0201] In some implementations of this disclosure, the second configuration includes one or more of the following: a second configuration identifier, indicating the identifier of the second configuration; a first configuration information, indicating the prediction method type; a second configuration information, indicating a cell list, the cell list including one or more cell information; a third configuration information, indicating a frequency point list, the frequency point list including one or more frequency point information; a fourth configuration information, indicating the prediction time configuration; and a fifth configuration information, indicating the prediction window configuration.

[0202] In some implementations of this disclosure, the prediction method type in the first configuration information includes one or more of the following: a first prediction method, which corresponds to inter-frequency prediction; a second prediction method, which corresponds to interval prediction; and a third prediction method, which corresponds to advance prediction.

[0203] In some implementations of this disclosure, the first configuration information is used to configure the first prediction method, the cell list configured by the second configuration information includes the first cell and / or the second cell, the frequency point list configured by the third configuration information includes the frequency point of the first cell and / or the frequency point of the second cell, and the second configuration information and the third configuration information are used to determine that the frequency point of the first cell is different from the frequency point of the second cell.

[0204] In some implementations of this disclosure, the first configuration information is used to configure the second prediction method, the second configuration information is used to configure a cell list, the cell list includes one or more cell identifiers for the interval prediction, and the fourth configuration information is used to configure a prediction time configuration, the prediction time configuration is used to configure the period and / or time slot offset of the interval prediction, wherein the prediction time configuration is associated with one or more cells.

[0205] In some implementations of this disclosure, the second configuration information and the fourth configuration information are used to determine the cell for the interval prediction and the prediction time configuration associated with the cell; the RRM measurement prediction result of the cell is obtained through the interval prediction based on the determined prediction time configuration.

[0206] In some implementations of this disclosure, the communication device 1000 is further configured to: send an RRM measurement timing configuration to the communication device 900, wherein the RRM measurement timing configuration is used to configure the timing of RRM measurement, and the RRM measurement timing configuration and the determined prediction time configuration are used to obtain the RRM measurement prediction result of the cell through the interval prediction.

[0207] In some implementations of this disclosure, the first configuration information is used to configure the third prediction method, the second configuration information is used to configure a cell list, the cell list includes one or more cell identifiers for the advance prediction, and the fifth configuration information is used to configure the prediction window configuration, the prediction window configuration is used to configure one or more of the prediction time length, the number of reference signal instances, and the reference signal instance interval for the advance prediction, wherein the prediction window configuration is associated with one or more cells.

[0208] In some implementations of this disclosure, the second configuration information and the fifth configuration information are used to determine the cell for the advance prediction and the prediction window configuration associated with the cell; the determined prediction window configuration is used to obtain the RRM measurement prediction result of the cell through the advance prediction.

[0209] In some implementations of this disclosure, the communication device 1000 sends a plurality of first configurations to the communication device 900, and the communication method further includes: sending downlink control signaling to the communication device 900, the downlink control signaling being used to activate one or more of the plurality of first configurations; the RRM measurement prediction result of the second cell is obtained based on the activated one or more first configurations.

[0210] In some implementations of this disclosure, the downlink control signaling includes one or more first configuration identifiers, which are used to determine one or more first configurations to be activated.

[0211] Figure 9 The device 900 can be used to implement the various processes described by the terminal device 110 in the above embodiments. Figure 10 The device 1000 can be used to implement the various processes described by the network device 120 in the above embodiments, which will not be described in detail here for the sake of brevity.

[0212] Figure 9 and Figure 10 The receiving module involved can be implemented as a receiver or transceiver, the transmitting module can be implemented as a transmitter or transceiver, and the processing module can be implemented as a processor or control circuit.

[0213] It is understood that the division of modules or units in the embodiments of this disclosure is illustrative and only represents a logical functional division. In actual implementation, there may be other division methods. Furthermore, the functional units in the disclosed embodiments may be integrated into one unit, exist as separate physical entities, or be integrated into one unit by two or more entities. The integrated units described above can be implemented in hardware or as software functional units.

[0214] Figure 11 A schematic block diagram of an example device 1100 that can be used to implement embodiments of the present disclosure is shown. Device 1100 may be implemented as or included in terminal device 110. As shown, device 1100 includes one or more processors 1110, one or more memories 1120 coupled to processors 1110, and a communication module 1140 coupled to processors 1110.

[0215] The communication module 1140 can be used for bidirectional communication. The communication module 1140 may have at least one communication interface for communication. The communication interface may include any interface necessary for communication with other devices.

[0216] Processor 1110 can be any type suitable for a local technology network and can include, but is not limited to, one or more of the following: a general-purpose computer, a special-purpose computer, a microcontroller, a digital signal processor (DSP), or a controller-based multi-core controller architecture. Device 1100 can have multiple processors, such as application-specific integrated circuit chips, which are time-dependent on a clock synchronized with the main processor.

[0217] Memory 1120 may include one or more non-volatile memories and one or more volatile memories. Examples of non-volatile memories include, but are not limited to, at least one of the following: Read-Only Memory (ROM) 1124, Erasable Programmable Read-Only Memory (EPROM), flash memory, hard disk, Compact Disc (CD), Digital Versatile Disc (DVD), or other magnetic and / or optical storage. Examples of volatile memories include, but are not limited to, at least one of the following: Random Access Memory (RAM) 1122, or other volatile memories that do not persist during the duration of a power outage.

[0218] Computer program 1130 includes computer-executable instructions that are executed by associated processor 1110. Program 1130 may be stored in ROM 1124. Processor 1110 may perform any appropriate actions and processes by loading program 1130 into RAM 1122.

[0219] The embodiments of this disclosure can be implemented using program 1130, enabling device 1100 to perform any of the processes discussed above. Embodiments of this disclosure can also be implemented in hardware or a combination of software and hardware.

[0220] Program 1130 may be tangibly contained in a computer-readable medium, which may include in device 1100 (such as in memory 1120) or other storage device accessible by device 1100. Program 1130 may be loaded from the computer-readable medium into RAM 1122 for execution. The computer-readable medium may include any type of tangible non-volatile memory, such as ROM, EPROM, flash memory, hard disk, CD, DVD, etc.

[0221] In some embodiments, the communication module 1140 in device 1100 can be implemented as a transmitter and receiver (or transceiver), which can be configured to transmit / receive transmission signals, etc. Additionally, device 1100 may further include one or more of a scheduler, controller, and radio frequency / antenna, which will not be described in detail in this disclosure.

[0222] For example, Figure 11 The device 1100 can be implemented as a communication device, or as a chip or chip system in a communication device, and the embodiments of this disclosure are not limited thereto.

[0223] Embodiments of this disclosure also provide a chip, which may include an input interface, an output interface, and processing circuitry. In embodiments of this disclosure, the input and output interfaces can be used to complete the interaction of signaling or data, while the processing circuitry can be used to generate and process the signaling or data information.

[0224] Embodiments of this disclosure also provide a chip system including a processor for supporting a device to implement the functions involved in any of the foregoing embodiments. In one possible design, the chip system may further include a memory for storing necessary program instructions and data, which, when executed by the processor, cause the device on which the chip system is mounted to implement the methods involved in any of the foregoing embodiments. Exemplarily, the chip system may consist of one or more chips, or may include chips and other discrete devices.

[0225] Embodiments of this disclosure also provide a processor for coupling with a memory storing instructions that, when executed by the processor, cause the processor to perform the methods and functions involved in any of the above embodiments.

[0226] Embodiments of this disclosure also provide a computer program product containing instructions that, when run on a computer, cause the computer to perform the methods and functions involved in any of the embodiments described above.

[0227] Embodiments of this disclosure also provide a computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, cause the processor to perform the methods and functions involved in any of the above embodiments.

[0228] Embodiments of this disclosure also provide a communication system, including a first device and a second device. For example, the first device is as follows: Figure 9 The communication device 900 shown, the second device is as follows Figure 10 The communication device 1000 shown.

[0229] Generally, the various embodiments of this disclosure can be implemented in hardware or dedicated circuitry, software, logic, or any combination thereof. Some aspects can be implemented in hardware, while others can be implemented in firmware or software, which can be executed by a controller, microprocessor, or other device. Although various aspects of the embodiments of this disclosure are shown and described as block diagrams, flowcharts, or represented using some other illustration, it should be understood that the blocks, apparatuses, systems, techniques, or methods described herein can be implemented as, as non-limiting examples, in hardware, software, firmware, dedicated circuitry or logic, general-purpose hardware or controllers or other devices, or some combination thereof.

[0230] This disclosure also provides at least one computer program product tangibly stored on a non-transitory computer-readable storage medium. The computer program product includes computer-executable instructions, such as instructions included in program modules, which execute in a device on a target real or virtual processor to perform the processes / methods as described above with reference to the accompanying drawings. Typically, program modules include routines, programs, libraries, objects, classes, components, data structures, etc., that perform specific tasks or implement specific abstract data types. In various embodiments, the functionality of program modules can be combined or divided among program modules as needed. The machine-executable instructions for the program modules can execute within a local or distributed device. In a distributed device, the program modules can reside in both local and remote storage media.

[0231] Computer program code used to implement the methods of this disclosure may be written in one or more programming languages. This computer program code may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus, such that when executed by the computer or other programmable data processing apparatus, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be performed. The program code may be executed entirely on a computer, partially on a computer, as a stand-alone software package, partially on a computer and partially on a remote computer, or entirely on a remote computer or server.

[0232] In the context of this disclosure, computer program code or related data may be carried on any suitable carrier to enable a device, apparatus, or processor to perform the various processes and operations described above. Examples of carriers include signals, computer-readable media, and so on. Examples of signals may include electrical, optical, radio, sound, or other forms of propagation signals, such as carrier waves, infrared signals, etc.

[0233] A computer-readable medium can be any tangible medium that contains or stores a program for or relating to an instruction execution system, apparatus, or device. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. More detailed examples of computer-readable storage media include electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0234] Furthermore, although the operation of the methods of this disclosure is described in a specific order in the accompanying drawings, this does not require or imply that these operations must be performed in that specific order, or that all of the operations shown must be performed to achieve the desired result. Rather, the steps depicted in the flowcharts may be performed in a different order. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps. It should also be noted that the features and functions of two or more devices according to this disclosure may be embodied in one device. Conversely, the features and functions of one device described above may be further divided and embodied by multiple devices.

[0235] It should be understood that although this disclosure describes the technical solutions of the present invention according to the above embodiments, this disclosure is not limited to the embodiments or configurations described above. The technical solutions of this disclosure also include various variations and equivalent variations based on the above embodiments. Other combinations including one or more elements included in the above embodiments also fall within the scope or spirit of this disclosure. For one or more embodiments, at least one of the components shown in one or more of the drawings and descriptions may be configured to perform one or more operations, techniques, processes or methods described in another example section. For example, the baseband circuit described in conjunction with one or more of the drawings and descriptions may be configured to operate according to one or more of another example. As another example, circuitry associated with one or more of the UE, base station, network elements, etc., described in conjunction with one or more of the drawings and descriptions may be configured to operate according to one or more of the examples shown in another example section.

[0236] The terms, phrases, and other expressions used in the embodiments of this disclosure are merely exemplary and can be replaced with substantially the same or similar expressions. In particular, since the technical content involved in the above embodiments is related to technical specifications, the expressions in the above embodiments can be replaced with substantially the same or similar expressions in the technical specifications, as well as corresponding expressions adjusted by the evolution of the technical specifications and substantially covered by the technology. Therefore, even if the expressions in this disclosure differ from those in the technical specifications, as long as they do not depart from the technical essence and the scope of the technical concept of this invention, they should be understood as substantially the same as the expressions and technical content of this disclosure.

[0237] In embodiments of this disclosure, the information "sent" and "received" may include the same or different messages or elements already described in the technical specifications, or may be included in newly defined messages or elements and sent and received. In the above embodiments, the information sent and received may use different layers and / or different channels than those described in the above embodiments.

[0238] In the embodiments of this disclosure, terms such as “determine,” “calculate,” “obtain,” “instruct,” and “represent” do not necessarily indicate the existence of corresponding actions, signaling, or algorithms, but are used to facilitate the understanding of the relationship between the technical ideas and features of the technical solution of the present invention, and should not be construed as constituting unnecessary limitations on the technical essence of the present invention.

[0239] In embodiments of this disclosure, the terms “comprising” and “including” and their derivatives mean including but not limited to; the term “or” is inclusive, meaning and / or; the phrases “associated with” and “associated with” and their derivatives may mean including, being included in, interconnected with, containing, contained within, connected to or connected to, coupled to or coupled to, able to communicate with, cooperate with, interleaved, juxtaposed, proximate, bound to or bound to, having, having the attributes of, etc.; and the term “controller” means any device, system or part thereof that controls at least one operation, such device may be implemented in hardware, firmware or software or some combination of at least two of them. It should be noted that the functionality associated with any particular controller may be centralized or distributed, whether local or remote.

[0240] In embodiments of this disclosure, the terms “example” or “exemplary” are used herein to mean “served as an example, instance, or illustration.” Any embodiment or implementation of the subject matter described as “exemplary” in this disclosure is not necessarily to be construed as preferred or advantageous over other embodiments.

[0241] In embodiments of this disclosure, the term "approximately" means a value that is nearly correct or precise. For example, approximately may refer to a value within a specific range of precise (or expected) values. However, it should be understood that actual thresholds (or tolerances) may vary. For example, in some embodiments, "approximately" may mean within 0.1% of some specified or expected value, while in various other embodiments, the threshold may be, for example, 2%, 3%, 5%, etc., depending on specific expectations or requirements.

[0242] Various components or modules can be described as being "configured to" perform one or more actions, operations, or processes. In this context, "configured to" is a broad expression generally meaning "having a structure" that performs one or more actions, operations, or processes during operation. Therefore, even when a component or module is not currently performing an action, operation, or process, it can still be configured to perform that action, operation, or process (e.g., a set of electrical conductors can be configured to electrically connect one module to another, even when the two modules are not connected). In some contexts, "configured to" can be a broad expression generally meaning a structure that "has" one or more tasks during operation. Therefore, even when a component or module is not currently powered on, it can still be configured to perform an action, operation, or process. Typically, the circuit forming the structure corresponding to "configured to" can include hardware circuitry.

[0243] The technologies described in this disclosure can be implemented in and / or used with a variety of different types of devices, including but not limited to any of the following computing devices: unmanned aerial vehicles (UAVs), unmanned aerial vehicle controllers (UACs), UTM servers, base stations, access points, cellular phones, tablet computers, wearable computing devices, portable media players, and various other computing devices.

[0244] Furthermore, this disclosure uses terminology found in some communication standards and specifications (e.g., 3GPP, xRAN, ORAN) to describe one or more embodiments, but these are merely examples for illustrative purposes. One or more embodiments of this disclosure can also be readily adapted and applied to other communication systems.

[0245] Various implementations of this disclosure have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed implementations. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described implementations. The terminology used herein is chosen to well explain the principles, practical applications, or improvements to technology in the market, or to enable others skilled in the art to understand the various implementations disclosed herein.

[0246] List of related technical terms RRM (Radio Resource Management): Radio Resource Management MAC CE (Medium Access Control Element): Media Access Control Element RRC (Radio Resource Control): Radio Resource Control DCI (L1 / L2 Triggered Mobility): Switching triggered by lower-layer signaling. QCL (Quasi Co-Location): Quasi-co-location TRP (Transmission Reception Point): Transmission Reception Point SMTC (SSB Measurement Timing Configuration): SSB measurement timing configuration PCI (Physical Cell Identification): Physical Cell Identification CGI (Cell Global Identification): Global Cell Identification.

Claims

1. A communication method, wherein the communication method is performed by a communication device, the communication method comprising: Receive a first configuration, wherein the first configuration includes information associated with one or more of the following: co-location, quasi-co-location, and cell pairing of the first cell and the second cell; Based on the first configuration, the RRM measurement prediction results of the second cell are obtained. The first configuration is used to determine the first cell, the first cell is used for radio resource management (RRM) measurement prediction of the second cell, and the frequency of the first cell is different from that of the second cell.

2. The communication method according to claim 1, further comprising: Receive a second configuration, which is used to configure configuration information related to RRM measurement prediction; Based on the first configuration and the second configuration, the RRM measurement prediction result of the second cell is obtained based on the RRM measurement result of the first cell.

3. The communication method according to claim 1 or 2, further comprising: The RRM measurement results of the first cell are obtained through RRM measurement; Based on the RRM measurement results of the first cell, the RRM measurement prediction results of the second cell are obtained through RRM measurement prediction.

4. The communication method according to any one of claims 1 to 3, wherein a model for RRM measurement prediction is configured at the communication device, the model being used for inter-frequency prediction, wherein: The model's input includes one or more RRM measurements corresponding to one or more first cells, wherein the RRM measurements include signal quality related to the cell's reference signal. The model's output includes the RRM measurement prediction results for the second cell.

5. The communication method according to claim 1, wherein the first configuration is used to determine one or more of the following: The first and second residential communities share the same location; The first cell and the second cell are quasi-co-located with reference signals; The first cell is paired with the second cell, wherein the RRM measurement results of the first cell are used as input to a model for predicting the RRM measurement prediction results of the second cell.

6. The communication method according to any one of claims 1 to 5, wherein the first configuration includes one or more of the following: First configuration identifier, indicating the identifier of the first configuration; The first instruction message indicates the community signage; The second instruction information indicates the co-location situation and / or quasi-co-location situation; The third indication information indicates cell pairing, wherein the cell pairing includes a set of cell identifiers that form a pair; The fourth indication information indicates the type of reference signal used for RRM measurement prediction; The fifth instruction information indicates the cell matching identifier used to identify cell matching relationships.

7. The communication method according to claim 6, wherein the first indication information is used to determine the first cell, and the second indication information is used to determine that the first cell and the second cell have a co-location relationship. The communication method further includes: Based on the RRM measurement results of the first cell and the co-location relationship, the RRM measurement prediction results of the second cell are obtained.

8. The communication method according to claim 6, wherein the first indication information is used to determine the first cell, the second indication information is used to determine that the reference signal of the first cell and the reference signal of the second cell have a quasi-co-addressable relationship, and the fourth indication information is used to determine the reference signal type used for RRM measurement prediction. The communication method further includes: Based on the RRM measurement results of the first cell and the quasi-co-location relationship, the RRM measurement prediction results of the second cell are obtained.

9. The communication method according to claim 8, wherein the second indication information is used to indicate a quasi-co-location type, the quasi-co-location type including one or more of the following: The first quasi-co-location type indicates that one or more of the following are similar and / or the same: Doppler frequency shift, Doppler spread, average time delay, and time delay spread; The second quasi-co-location type indicates that one or more of the Doppler frequency shift and Doppler spread are similar and / or the same; The third quasi-co-location type indicates that one or more of the Doppler frequency shift and average time delay are similar and / or the same; The fourth quasi-co-location type indicates that the spatial reception parameters are similar and / or identical. The communication method further includes: obtaining the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell and the quasi-co-location type.

10. The communication method according to claim 6, wherein the third indication information is used to determine the first cell paired with the second cell. The communication method further includes: Based on the RRM measurement results of the first cell, the RRM measurement prediction results for the second cell are obtained.

11. The communication method according to claim 6, wherein the fifth indication information is used to determine the cell matching identifier of the first cell and the cell matching identifier of the second cell. Based on the fact that the cell matching identifier of the first cell and the cell matching identifier of the second cell are the same, it is determined that the RRM measurement result of the first cell can be used for the RRM measurement prediction of the second cell.

12. The communication method according to any one of claims 2 to 11, wherein the second configuration includes one or more of the following: The second configuration identifier indicates the identifier of the second configuration; The first configuration information indicates the prediction method type; The second configuration information indicates a cell list, which includes information on one or more cells. The third configuration information indicates a frequency point list, which includes one or more frequency point information. The fourth configuration information indicates the prediction time configuration; The fifth configuration information indicates the prediction window configuration.

13. The communication method according to claim 12, wherein the prediction method type in the first configuration information includes one or more of the following: The first prediction method corresponds to inter-frequency prediction. The second prediction method corresponds to the interval prediction method. The third prediction method corresponds to advance prediction.

14. The communication method according to claim 13, wherein the first configuration information is used to configure the first prediction method, the cell list configured by the second configuration information includes the first cell and / or the second cell, and the frequency point list configured by the third configuration information includes the frequency points of the first cell and / or the frequency points of the second cell. The second configuration information and the third configuration information are used to determine that the frequency point of the first cell is different from the frequency point of the second cell.

15. The communication method according to claim 13, wherein the first configuration information is used to configure the second prediction method. The second configuration information is used to configure a cell list, which includes one or more cell identifiers for the interval prediction. The fourth configuration information is used to configure the prediction time configuration, which is used to configure the period and / or time slot offset of the interval prediction. The prediction time configuration is associated with one or more cells.

16. The communication method according to claim 15, further comprising: Based on the second configuration information and the fourth configuration information, the cell for the interval prediction and the prediction time configuration associated with the cell are determined; Based on the determined prediction time configuration, the RRM measurement prediction result of the cell is obtained through the interval prediction.

17. The communication method according to claim 15, further comprising: Receive RRM measurement timing configuration, which is used to configure the timing of RRM measurements; Based on the RRM measurement timing configuration and the determined prediction time configuration, the RRM measurement prediction result of the cell is obtained through the interval prediction.

18. The communication method according to claim 15, wherein the first configuration information is used to configure the third prediction method. The second configuration information is used to configure a cell list, which includes one or more cell identifiers for the advance prediction. The fifth configuration information is used to configure the prediction window configuration, which is used to configure one or more of the following: the prediction time length, the number of reference signal instances, and the reference signal instance interval. The prediction window configuration is associated with one or more cells.

19. The communication method according to claim 18, further comprising: Based on the second configuration information and the fifth configuration information, determine the cell for the advance prediction and the prediction window configuration associated with the cell; Based on the determined prediction window configuration, the RRM measurement prediction result of the cell is obtained through the advance prediction.

20. The communication method according to any one of claims 1 to 19, wherein the communication device receives a plurality of first configurations, the communication method further comprising: Receive downlink control signaling, the downlink control signaling being used to activate one or more of the plurality of first configurations; Based on the activated one or more first configurations, the RRM measurement prediction results of the second cell are obtained.

21. A communication method, wherein the communication method is performed by a second communication device, the communication method comprising: Send a first configuration to a first communication device, wherein the first configuration includes information associated with one or more of the following: co-location, quasi-co-location, and cell pairing of a first cell and a second cell; A measurement prediction report is received from the first communication device. The prediction report includes the RRM measurement prediction results for the second cell, which are obtained based on the first configuration. The first configuration is used to determine the first cell, the first cell is used for radio resource management (RRM) measurement prediction of the second cell, and the frequency of the first cell is different from that of the second cell.

22. The communication method according to claim 21, further comprising: Send a second configuration to the first communication device, the second configuration being used to configure configuration information related to RRM measurement prediction. The first configuration and the second configuration are used by the first communication device to obtain the RRM measurement prediction result of the second cell based on the RRM measurement result of the first cell.

23. The communication method according to claim 21 or 22, wherein: The RRM measurement results for the first cell were obtained through RRM measurement; The RRM measurement prediction result of the second cell is obtained by reasoning through a model for RRM measurement prediction using the RRM measurement result of the first cell as model input.

24. The communication method according to any one of claims 21 to 23, wherein a model for RRM measurement prediction is configured at the first communication device, the model being used for inter-frequency prediction, wherein: The model's input includes one or more RRM measurements corresponding to one or more first cells, wherein the RRM measurements include signal quality related to the cell's reference signal. The model's output includes the RRM measurement prediction results for the second cell.

25. The communication method according to any one of claims 21 to 24, wherein the first configuration is used to determine one or more of the following: The first and second residential communities share the same location; The first cell and the second cell are quasi-co-located with reference signals; The first cell is paired with the second cell, wherein the RRM measurement results of the first cell are used as input to a model for predicting the RRM measurement prediction results of the second cell.

26. The communication method according to any one of claims 21 to 25, wherein the first configuration comprises one or more of the following: First configuration identifier, indicating the identifier of the first configuration; The first instruction message indicates the community signage; The second instruction information indicates the co-location situation and / or quasi-co-location situation; The third indication information indicates cell pairing, wherein the cell pairing includes a set of cell identifiers that form a pair; The fourth indication information indicates the type of reference signal used for RRM measurement prediction; The fifth instruction information indicates the cell matching identifier used to identify cell matching relationships.

27. The communication method according to claim 26, wherein the first indication information is used to determine the first cell, and the second indication information is used to determine that the first cell and the second cell have a co-location relationship. The RRM measurement results of the first cell and the co-location relationship are used to obtain the RRM measurement prediction results of the second cell.

28. The communication method of claim 26, wherein the first indication information is used to determine the first cell, the second indication information is used to determine that the reference signal of the first cell and the reference signal of the second cell have a quasi-co-addressable relationship, and the fourth indication information is used to determine the type of reference signal used for RRM measurement prediction. The RRM measurement results of the first cell and the quasi-co-location relationship are used to obtain the RRM measurement prediction results of the second cell.

29. The communication method of claim 28, wherein the second indication information is used to indicate a quasi-co-location type, the quasi-co-location type including one or more of the following: The first quasi-co-location type indicates that one or more of the following are similar and / or the same: Doppler frequency shift, Doppler spread, average time delay, and time delay spread; The second quasi-co-location type indicates that one or more of the Doppler frequency shift and Doppler spread are similar and / or the same; The third quasi-co-location type indicates that one or more of the Doppler frequency shift and average time delay are similar and / or the same; The fourth quasi-co-location type indicates that the spatial reception parameters are similar and / or identical. The RRM measurement results of the first cell and the quasi-co-location type are used to obtain the RRM measurement prediction results of the second cell.

30. The communication method of claim 26, wherein the third indication information is used to determine the first cell paired with the second cell. The RRM measurement results of the first cell are used to obtain the RRM measurement prediction results for the second cell.

31. The communication method according to claim 26, wherein the fifth indication information is used to determine the cell matching identifier of the first cell and the cell matching identifier of the second cell. The cell matching identifier of the first cell and the cell matching identifier of the second cell are the same, which is used to determine that the RRM measurement result of the first cell can be used for the RRM measurement prediction of the second cell.

32. The communication method according to any one of claims 22 to 31, wherein the second configuration includes one or more of the following: The second configuration identifier indicates the identifier of the second configuration; The first configuration information indicates the prediction method type; The second configuration information indicates a cell list, which includes information on one or more cells. The third configuration information indicates a frequency point list, which includes one or more frequency point information. The fourth configuration information indicates the prediction time configuration; The fifth configuration information indicates the prediction window configuration.

33. The communication method according to claim 32, wherein the prediction method type in the first configuration information includes one or more of the following: The first prediction method corresponds to inter-frequency prediction. The second prediction method corresponds to the interval prediction method. The third prediction method corresponds to advance prediction.

34. The communication method according to claim 33, wherein the first configuration information is used to configure the first prediction method, the cell list configured by the second configuration information includes the first cell and / or the second cell, and the frequency point list configured by the third configuration information includes the frequency points of the first cell and / or the frequency points of the second cell. The second configuration information and the third configuration information are used to determine that the frequency point of the first cell is different from the frequency point of the second cell.

35. The communication method according to claim 33, wherein the first configuration information is used to configure the second prediction method. The second configuration information is used to configure a cell list, which includes one or more cell identifiers for the interval prediction. The fourth configuration information is used to configure the prediction time configuration, which is used to configure the period and / or time slot offset of the interval prediction. The prediction time configuration is associated with one or more cells.

36. The communication method according to claim 35, wherein the first configuration information is used to configure the third prediction method. The second configuration information is used to configure a cell list, which includes one or more cell identifiers for the advance prediction. The fifth configuration information is used to configure the prediction window configuration, which is used to configure one or more of the following: the prediction time length, the number of reference signal instances, and the reference signal instance interval. The prediction window configuration is associated with one or more cells.

37. The communication method according to any one of claims 21 to 36, wherein the second communication device sends a plurality of first configurations to the first communication device, the communication method further comprising: Send downlink control signaling to the first communication device, the downlink control signaling being used to activate one or more of the plurality of first configurations; The RRM measurement prediction results for the second cell are obtained based on the activated one or more of the first configurations.

38. The communication method of claim 37, wherein the downlink control signaling includes one or more first configuration identifiers. The one or more first configuration identifiers in the downlink control signaling are used to determine one or more first configurations to be activated.

39. A communication device, characterized in that, include: At least one memory for storing computer-executable instructions; as well as At least one processor is configured to execute the computer-executable instructions to cause the communication device to perform the communication method according to any one of claims 1 to 20 or 21 to 38.

40. A communication system, characterized in that, The communication system includes: A first device is configured to perform the communication method according to any one of claims 1 to 20; and The second device is configured to perform the communication method according to any one of claims 21 to 38.

41. A computer-readable storage medium having instructions stored thereon, which, when executed by a communication device, cause the communication device to perform the communication method according to any one of claims 1 to 20 or claims 21 to 38.

42. A computer program product storing instructions that, when executed, cause the communication method according to any one of claims 1 to 20 or claims 21 to 38 to be performed.

43. A chip including processing circuitry configured to perform a communication method according to any one of claims 1 to 20 or 21 to 38.

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