Communication method, terminal, network device, communication system, medium, and program product

Abstract

Embodiments of the present disclosure relate to a communication method, a terminal, a network device, a communication system, a medium, and a program product. The communication method can be applied to a terminal. The method comprises: determining a first filtering parameter, the first filtering parameter being associated with a first acquisition mode of a first measurement result, and the first filtering parameter being used for filtering the first measurement result. Thus, in the embodiments of the present disclosure, corresponding first filtering parameters can be determined for different acquisition modes of the first measurement result, so as to filter the first measurement result, thereby ensuring the accuracy of the measurement result.

Description

Communication method, terminal, network equipment, communication system, medium and program product Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a communication method, terminal, network equipment, communication system, medium, and program product. Background Art

[0002] During the radio resource management (RRM) measurement process, the terminal needs to filter the measurement results to eliminate the influence of fast fading and reduce the short-term variation of the measurement results.

[0003] Summary of the Invention

[0004] When the method of determining the measurement result based on prediction is introduced, the measurement result generated at some moments may include the measurement result obtained based on the prediction. Therefore, a new filtering method needs to be introduced to filter the measurement result.

[0005] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system, a medium, and a program product, which can determine corresponding first filtering parameters for different ways of obtaining a first measurement result to filter the first measurement result.

[0006] According to a first aspect of an embodiment of the present disclosure, a communication method is proposed, which is applied to a terminal. The method includes: determining a first filtering parameter, the first filtering parameter is associated with a first acquisition method of a first measurement result, and the first filtering parameter is used to filter the first measurement result.

[0007] According to a second aspect of an embodiment of the present disclosure, a communication method is proposed, which is applied to a network device. The method includes: sending first information, wherein the first information is used to indicate multiple filtering parameters.

[0008] According to a third aspect of an embodiment of the present disclosure, a terminal is proposed, including: a processing module, configured to determine a first filtering parameter, the first filtering parameter is associated with a first acquisition method of a first measurement result, and the first filtering parameter is used to filter the first measurement result.

[0009] According to a fourth aspect of an embodiment of the present disclosure, a network device is proposed, including: a transceiver module configured to send first information, wherein the first information is used to indicate a plurality of filtering parameters.

[0010] According to a fifth aspect of the embodiments of the present disclosure, a terminal is provided, comprising: at least one processor and a memory storing instructions. When the instructions are executed by the terminal, the terminal implements the communication method as described in the first aspect.

[0011] According to a sixth aspect of the embodiments of the present disclosure, a network device is provided, comprising: at least one processor and a memory storing instructions. When the instructions are executed by the network device, the network device implements the communication method described in the second aspect.

[0012] According to a seventh aspect of an embodiment of the present disclosure, a communication system is provided. The communication system includes a terminal and a network device. The terminal is configured to execute the communication method described in the first aspect, and the network device is configured to execute the communication method described in the second aspect.

[0013] According to an eighth aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the communication method as described in the first aspect or the second aspect.

[0014] According to a ninth aspect of the embodiments of the present disclosure, a computer program product is provided. When executed by a communication device, the computer program product causes the communication device to perform the communication method as described in the first or second aspect.

[0015] According to a tenth aspect of the embodiments of the present disclosure, a computer program is provided, which, when executed on a computer, causes the computer to execute the communication method according to the first aspect or the second aspect.

[0016] According to an eleventh aspect of the embodiments of the present disclosure, a chip or chip system is provided. The chip or chip system includes a processing circuit. The processing circuit is configured to execute the communication method described in the first aspect or the second aspect.

[0017] Through the embodiments of the present disclosure, the terminal determines a first filtering parameter associated with the first acquisition method according to the first acquisition method of the first measurement result, and filters the first measurement result using the first filtering parameter. The terminal can determine the corresponding first filtering parameter for different acquisition methods of the first measurement result to filter the first measurement result, thereby ensuring the accuracy of the measurement result.

[0018] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory and do not constitute limitations on the embodiments of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0020] FIG1 is a schematic diagram of an architecture of a communication system provided according to an embodiment of the present disclosure.

[0021] FIG2A is an interactive schematic diagram of a communication method provided according to an embodiment of the present disclosure.

[0022] FIG2B is an interactive schematic diagram of a communication method provided according to an embodiment of the present disclosure.

[0023] FIG3A is a flow chart of a method for executing communication on a terminal side according to an embodiment of the present disclosure.

[0024] FIG3B is a flow chart of a communication method executed on a network device side according to an embodiment of the present disclosure.

[0025] FIG3C is a flow chart of a method for executing communication on a terminal side according to an embodiment of the present disclosure.

[0026] FIG4A is another schematic diagram of a flow chart of a communication method executed on a terminal side according to an embodiment of the present disclosure.

[0027] FIG4B is another schematic flow chart of a communication method executed on a terminal side according to an embodiment of the present disclosure.

[0028] FIG5A is a schematic structural diagram of a communication device provided according to an embodiment of the present disclosure.

[0029] FIG5B is a schematic structural diagram of a communication device provided according to an embodiment of the present disclosure.

[0030] FIG6A is a schematic structural diagram of a communication device provided in an embodiment of the present disclosure.

[0031] FIG6B is a schematic structural diagram of a chip provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0032] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system, a medium, and a program product.

[0033] In a first aspect, an embodiment of the present disclosure proposes a communication method applied to a terminal, the method comprising: determining a first filtering parameter, the first filtering parameter being associated with a first acquisition method of a first measurement result, the first filtering parameter being used to filter the first measurement result.

[0034] In an embodiment of the present disclosure, the terminal determines a first filtering parameter associated with the first acquisition method based on the first acquisition method of the first measurement result, and filters the first measurement result using the first filtering parameter. The terminal can determine the corresponding first filtering parameter for different acquisition methods of the first measurement result to filter the first measurement result, thereby ensuring the accuracy of the measurement result.

[0035] In some embodiments, determining the first filtering parameter includes: determining the first filtering parameter from a plurality of filtering parameters based on a first acquisition method.

[0036] In some embodiments, the association relationship between the filtering parameter and the method for obtaining the first measurement result includes at least one of the following: one filtering parameter is associated with one method for obtaining the first measurement result; one filtering parameter is associated with multiple methods for obtaining the first measurement result; multiple filtering parameters are associated with one method for obtaining the first measurement result.

[0037] In some embodiments, the above method further includes: receiving first information, wherein the first information is used to indicate a plurality of filtering parameters.

[0038] In some embodiments, the first information is carried in at least one of the following: quantity configuration information; the quantity configuration information includes multiple filtering parameters; measurement object configuration information; the measurement object configuration information is used to indicate the association between the method of obtaining the first measurement result and the identification of each filtering parameter.

[0039] In some embodiments, the first measurement result is obtained in one of the following ways: determining the first measurement result based on measurement; determining the first measurement result based on prediction; or determining the first measurement result based on measurement and prediction.

[0040] In some embodiments, the first measurement result is determined based on multiple second measurement results obtained by measurement; or, the first measurement result is determined based on multiple second measurement results obtained by prediction; or, the first measurement result is determined based on one or more second measurement results obtained by measurement and one or more second measurement results obtained by prediction.

[0041] In some embodiments, the method for obtaining the first measurement result includes one of the following: determining the first measurement result based on multiple second measurement results obtained based on sample proportions, the sample proportions including the proportion of the second measurement result obtained based on prediction in the multiple second measurement results and / or the proportion of the second measurement result obtained based on measurement in the multiple second measurement results; determining the first measurement result based on multiple second measurement results obtained based on a sample pattern, the sample pattern including at least one second measurement result obtained based on prediction and / or at least one second measurement result obtained based on measurement.

[0042] In some embodiments, the above method further includes: acquiring a first parameter associated with the first acquisition mode; and determining a first filtering parameter based on the first parameter.

[0043] In a second aspect, an embodiment of the present disclosure proposes a communication method, which is applied to a network device. The method includes: sending first information, wherein the first information is used to indicate multiple filtering parameters.

[0044] In an embodiment of the present disclosure, a network device sends first information indicating multiple filtering parameters, which enables the terminal to determine the first filtering parameter from the multiple filtering parameters, filter the first measurement result by using the first filtering parameter, and determine the corresponding first filtering parameter for different acquisition methods of the first measurement result to filter the first measurement result, thereby ensuring the accuracy of the measurement result.

[0045] In some embodiments, the association relationship between the filtering parameter and the method for obtaining the first measurement result includes at least one of the following: one filtering parameter is associated with one method for obtaining the first measurement result; one filtering parameter is associated with multiple methods for obtaining the first measurement result; multiple filtering parameters are associated with one method for obtaining the first measurement result.

[0046] In some embodiments, the first information is carried in at least one of the following: quantity configuration information; the quantity configuration information includes multiple filtering parameters; measurement object configuration information; the measurement object configuration information is used to indicate the association between the method of obtaining the first measurement result and the identification of each filtering parameter.

[0047] In some embodiments, the first measurement result is obtained in one of the following ways: determining the first measurement result based on measurement; determining the first measurement result based on prediction; or determining the first measurement result based on measurement and prediction.

[0048] In some embodiments, the first measurement result is determined based on multiple second measurement results obtained by measurement; or, the first measurement result is determined based on multiple second measurement results obtained by prediction; or, the first measurement result is determined based on one or more second measurement results obtained by measurement and one or more second measurement results obtained by prediction.

[0049] In some embodiments, the method for obtaining the first measurement result includes one of the following: determining the first measurement result based on multiple second measurement results obtained based on sample proportions, the sample proportions including the proportion of the second measurement result obtained based on prediction in the multiple second measurement results and / or the proportion of the second measurement result obtained based on measurement in the multiple second measurement results; determining the first measurement result based on multiple second measurement results obtained based on a sample pattern, the sample pattern including at least one second measurement result obtained based on prediction and / or at least one second measurement result obtained based on measurement.

[0050] In some embodiments, the above method further includes: sending a first parameter associated with the method for obtaining the first measurement result; the first parameter is used to determine each filtering parameter corresponding to the method for obtaining the first measurement result.

[0051] In a third aspect, an embodiment of the present disclosure proposes a terminal, including: a processing module, configured to determine a first filtering parameter, the first filtering parameter is associated with a first acquisition method of a first measurement result, and the first filtering parameter is used to filter the first measurement result.

[0052] In some embodiments, the processing module is configured to: determine a first filtering parameter from a plurality of filtering parameters based on a first acquisition method.

[0053] In some embodiments, the association relationship between the filtering parameter and the method for obtaining the first measurement result includes at least one of the following: one filtering parameter is associated with one method for obtaining the first measurement result; one filtering parameter is associated with multiple methods for obtaining the first measurement result; multiple filtering parameters are associated with one method for obtaining the first measurement result.

[0054] In some embodiments, the terminal further includes a transceiver module configured to: receive first information, wherein the first information is used to indicate a plurality of filtering parameters.

[0055] In some embodiments, the first information is carried in at least one of the following: quantity configuration information; the quantity configuration information includes multiple filtering parameters; measurement object configuration information; the measurement object configuration information is used to indicate the association between the method of obtaining the first measurement result and the identification of each filtering parameter.

[0056] In some embodiments, the first measurement result is obtained in one of the following ways: determining the first measurement result based on measurement; determining the first measurement result based on prediction; or determining the first measurement result based on measurement and prediction.

[0057] In some embodiments, the first measurement result is determined based on multiple second measurement results obtained by measurement; or, the first measurement result is determined based on multiple second measurement results obtained by prediction; or, the first measurement result is determined based on one or more second measurement results obtained by measurement and one or more second measurement results obtained by prediction.

[0058] In some embodiments, the method for obtaining the first measurement result includes one of the following: determining the first measurement result based on multiple second measurement results obtained based on sample proportions, the sample proportions including the proportion of the second measurement result obtained based on prediction in the multiple second measurement results and / or the proportion of the second measurement result obtained based on measurement in the multiple second measurement results; determining the first measurement result based on multiple second measurement results obtained based on a sample pattern, the sample pattern including at least one second measurement result obtained based on prediction and / or at least one second measurement result obtained based on measurement.

[0059] In some embodiments, the processing module is further configured to: obtain a first parameter associated with the first acquisition method; and determine a first filtering parameter based on the first parameter.

[0060] In a fourth aspect, an embodiment of the present disclosure proposes a network device, comprising: a transceiver module configured to send first information, wherein the first information is used to indicate multiple filtering parameters.

[0061] In some embodiments, the association relationship between the filtering parameter and the method for obtaining the first measurement result includes at least one of the following: one filtering parameter is associated with one method for obtaining the first measurement result; one filtering parameter is associated with multiple methods for obtaining the first measurement result; multiple filtering parameters are associated with one method for obtaining the first measurement result.

[0062] In some embodiments, the first information is carried in at least one of the following: quantity configuration information; the quantity configuration information includes multiple filtering parameters; measurement object configuration information; the measurement object configuration information is used to indicate the association between the method of obtaining the first measurement result and the identification of each filtering parameter.

[0063] In some embodiments, the first measurement result is obtained in one of the following ways: determining the first measurement result based on measurement; determining the first measurement result based on prediction; or determining the first measurement result based on measurement and prediction.

[0064] In some embodiments, the first measurement result is determined based on multiple second measurement results obtained by measurement; or, the first measurement result is determined based on multiple second measurement results obtained by prediction; or, the first measurement result is determined based on one or more second measurement results obtained by measurement and one or more second measurement results obtained by prediction.

[0065] In some embodiments, the method for obtaining the first measurement result includes one of the following: determining the first measurement result based on multiple second measurement results obtained based on sample proportions, the sample proportions including the proportion of the second measurement result obtained based on prediction in the multiple second measurement results and / or the proportion of the second measurement result obtained based on measurement in the multiple second measurement results; determining the first measurement result based on multiple second measurement results obtained based on a sample pattern, the sample pattern including at least one second measurement result obtained based on prediction and / or at least one second measurement result obtained based on measurement.

[0066] In some embodiments, the transceiver module is further configured to: send a first parameter associated with the method for obtaining the first measurement result; the first parameter is used to determine various filtering parameters corresponding to the method for obtaining the first measurement result.

[0067] In a fifth aspect, embodiments of the present disclosure provide a terminal. The terminal includes at least one processor and a memory storing instructions. When executed by a network device, the instructions enable the network device to implement the communication method described in the first aspect and possible implementations thereof.

[0068] In a sixth aspect, embodiments of the present disclosure provide a network device. The network device includes: at least one processor and a memory storing instructions. When the instructions are executed by a terminal, the terminal implements the communication method described in the second aspect and possible implementations thereof.

[0069] In a seventh aspect, embodiments of the present disclosure provide a communication system. The communication system includes a terminal and a network device. The terminal is configured to execute the communication method described in the first aspect and possible implementations thereof, and the network device is configured to execute the communication method described in the second aspect and possible implementations thereof.

[0070] In an eighth aspect, an embodiment of the present disclosure proposes a storage medium storing instructions. When the instructions are executed on a communication device, the communication device executes the communication method as described in the first aspect, the second aspect and possible implementations thereof.

[0071] In a ninth aspect, an embodiment of the present disclosure provides a computer program product. When the computer program product is executed by a communication device, the communication device executes the communication method as described in the first aspect, the second aspect, and possible implementations thereof.

[0072] In a tenth aspect, an embodiment of the present disclosure provides a computer program. When the computer program is executed on a computer, the computer executes the communication method as described in the first aspect, the second aspect, and possible implementations thereof.

[0073] In an eleventh aspect, embodiments of the present disclosure provide a chip or a chip system. The chip or chip system includes a processing circuit. The processing circuit is configured to execute the communication method as described in the first aspect, the second aspect, and possible implementations thereof.

[0074] It is understandable that the above-mentioned terminals, network devices, communication systems, storage media, computer program products, computer programs, chips, or chip systems are all used to perform the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0075] The present disclosure provides a communication method, terminal, network device, communication system, medium, and program product. In some embodiments, the terms communication method, information processing method, information transmission method, and filtering parameter determination method are interchangeable. The terms terminal, network device, communication device, and information processing device are interchangeable. The terms information processing system and communication system are interchangeable.

[0076] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0077] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0078] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0079] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0080] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0081] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," and the like can be used interchangeably.

[0082] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0083] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0084] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0085] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0086] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0087] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0088] In some embodiments, devices, etc. can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as "device", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", and "subject" can be used interchangeably.

[0089] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0090] In some embodiments, the terms "network devices", "access network device (AN device)", "radio access network device (RAN device)", "base station (BS)", "radio base station" "fixed station", "node", "access network node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or reception point (TRP)" "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femtocell", "picocell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)" and the like may be used interchangeably.

[0091] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc. can be used interchangeably.

[0092] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it is also possible to set the structure in which the terminal has all or part of the functions of the access network device. In addition, terms such as "uplink" and "downlink" can also be replaced by terms corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels, and uplinks, downlinks, etc. can be replaced by side links.

[0093] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, the core network device, or the network device may have a structure that has all or part of the functions of the terminal.

[0094] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0095] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0096] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0097] Figure 1 is a schematic diagram of an architecture of a communication system provided according to an embodiment of the present disclosure. As shown in Figure 1, the communication system 100 includes a terminal 101 and a network device 102. The network device 102 may also be referred to as an access network device.

[0098] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0099] In some embodiments, the network device 102 is, for example, a node or device that accesses a terminal to a wireless network. The network device 102 may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0100] In some embodiments, the network device 102 can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the network device 102, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0101] In some embodiments, the CU and DU may be centrally deployed on one network device or distributed across multiple network devices.

[0102] In some embodiments, a network device 102 may include a CU and at least one DU. A CU may be connected to multiple DUs, and a DU can only be connected to one CU.

[0103] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0104] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or a portion thereof, but are not limited thereto. The entities shown in FIG1 are illustrative only. The communication system may include all or part of the entities shown in FIG1 , or may include other entities outside of FIG1 . The number and form of the entities are arbitrary, and the entities may be physical or virtual. The connection relationships between the entities are illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0105] The embodiments of the present disclosure may be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile Communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-Wideband (UWB), and other technologies. Band (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems using other communication methods, and next-generation systems based on and extending these methods. Furthermore, a combination of multiple systems (for example, a combination of LTE or LTE-A with 5G) may also be applied.

[0106] The following describes and explains the terms involved in this disclosure.

[0107] 1. Introduction to RRM Measurement

[0108] Machine learning algorithms are one of the most important approaches to implementing artificial intelligence technology. Machine learning uses large amounts of training data to generate models that can then be used to predict events. In many fields, models trained using machine learning can produce highly accurate predictions.

[0109] To support Layer 3 (L3) mobility, the network configures RRM measurements for terminals (e.g., UEs). The network can trigger handovers based on the measurement results reported by the UE. Currently, L3 measurement reports can include both cell-level and beam-level measurement results. Based on the UE's measurement reports, the network can determine the target cell for handover and the optimal beam for the UE to access.

[0110] In existing L3 handover mechanisms, handovers are triggered and executed based on reported historical measurement results and / or measurement events, making this a reactive approach. While this approach may perform well in low-mobility macrocell scenarios, it can be problematic when UE mobility is high, in high-density deployments, or when there is mobility for both existing and future services. For example, this reactive approach can be prone to handover failures, radio link failures, ping-pong handovers, throughput loss, or premature / late handovers.

[0111] To improve the robustness of handover, Rel-16 introduced conditional handover. To reduce the interruption time of frequent handovers between cells, layer 1 or layer 2 triggered mobility handover (LTM HO) was introduced in Rel-18. However, these two mechanisms are still reactive solutions. On the other hand, mechanisms based on AI / machine learning (ML) algorithms have the potential to implement proactive solutions. Therefore, in Rel-19, 3GPP studied AI-based mobility optimization solutions, including the prediction of measurement results, including the prediction of cell-level measurement results and the prediction of beam-level measurement results.

[0112] In the existing measurement process, the protocol stipulates a measurement period, which is the measurement duration required for the UE to obtain a valid measurement result. During this measurement period, the UE needs to perform multiple measurements on the frequency and obtain a valid measurement result based on the multiple measurement results.

[0113] 2. Introduction to L3 filtering

[0114] Before being used for evaluating reporting criteria, for measurement reporting, for terminal-to-network (U2N) / terminal-to-terminal (UE-to-UE, U2U) relay (re)selection evaluation, or for evaluating synchronization reference (SyncRef) UE, the measurement results may be filtered by the following formula: n =(1-a)*F n-1 +a*M n (1)

[0115] Among them, M n is the latest measurement result received from the physical layer (layer 1, L1); F n It is the updated filtered measurement result used for evaluating reporting criteria, measurement reporting, U2N / U2U relay (re)selection evaluation or evaluating SyncRef UE; F n-1 is the last filtered measurement result, where F0 is set to M1 when the first measurement result from the physical layer is received; for measurement objects (such as MeasObjectNR), where k i It is the filter coefficient (such as FilterCoefficient) of the corresponding measurement quantity of the i-th QuantityConfigNR in the quantity configuration (such as QuantityConfigNR) list, and i is indicated by the quantity configuration index (quantityCnfigIndex) in MeasObjectNR. For other measurement objects, a=1 / 2 (k / 4) , where k is the filter coefficient of the corresponding measurement quantity received by quantityConfig. For the universal terrestrial radio access frequency division duplexing (UTRA-FDD) system, a=1 / 2 (k / 4) , where k is the filter coefficient of the corresponding measurement quantity received in QuantityConfigUTRA-FDD.

[0116] The filter coefficient information element indicates the measured filter coefficient. The value fc0 corresponds to k=0, fc1 corresponds to k=1, and so on.

[0117] The quantity configuration information element indicates the measurement quantity and layer 3 filter coefficient used for inter-NR and inter-RAT measurements.

[0118] In an example, the quantity configuration information element (QuantityConfig information element) may include at least one of the following: QuantityConfig, QuantityConfigNR, quantityConfigUTRA-FDD, FilterConfigCLI.

[0119] In some embodiments, quantityConfig is configured to the network via measurement configuration (MeasConfig).

[0120] In some embodiments, the configuration of the measurement object may include an indication of quantityConfigIndex, which is used to indicate the quantityConfigIndex applicable to the measurement object.

[0121] In some embodiments, the relevant protocol specifies a measurement period during which the UE obtains a valid measurement result (e.g., a first measurement result). During this measurement period, the UE may perform multiple measurements to obtain measurement samples (e.g., multiple second measurement results obtained based on the measurements), thereby obtaining a valid measurement result based on the measurement samples obtained. During the L3 measurement process, the UE needs to perform L3 filtering on the valid measurement result. The L3 filtering takes into account previous measurement results to avoid randomness in the measurement result.

[0122] In some embodiments, Rel-19 introduces AI-based measurement result prediction. Predicted measurement results (e.g., multiple second measurement results obtained based on the prediction) may also be used to trigger measurement reporting or included in the measurement report. Furthermore, since spatial measurement result prediction is supported, the AI ​​model prediction results may be considered in the measurement results generated by lower layers at certain times. In this case, it may be necessary to consider the impact of different types of measurement results on the final reported measurement results.

[0123] FIG2A is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG2A , the embodiment of the present disclosure relates to a communication method, which includes steps S2101 to S2104.

[0124] In an embodiment of the present disclosure, a terminal may include a first entity and a second entity, wherein the first entity may be used to determine a first measurement result, and the second entity may be used to filter the first measurement result.

[0125] In some embodiments, after obtaining the first measurement result, the first entity may report the first measurement result to the second entity.

[0126] In some embodiments, the functions of the first entity and the second entity may be integrated into the same entity or deployed in different entities.

[0127] In one example, the first entity may be L1. In one example, the second entity may be L3.

[0128] In some embodiments, the first measurement result may be obtained by L1 or L3.

[0129] In some embodiments, the terms "entity", "module", "unit", "functional entity" etc. can be used interchangeably.

[0130] In step S2101, the network device sends first information.

[0131] In some embodiments, the terminal receives first information.

[0132] In some embodiments, the first information may be used to indicate a plurality of filtering parameters. In some embodiments, the plurality of filtering parameters are associated with a manner of obtaining the first measurement result obtained by the first entity (eg, L1 or L3).

[0133] In some embodiments, the filtering parameters associated with the manner in which the first measurement result obtained by the first entity is obtained may include one or more filtering parameters associated with a reference signal, a measurement frequency, and a measurement quantity (such as MeasQuantity). In some embodiments, the filtering parameters may be understood as a filtering parameter group.

[0134] In some embodiments, a network device may be configured with multiple filtering parameters.

[0135] In some embodiments, one filtering parameter may be associated with one method for obtaining the first measurement result. In some embodiments, one filtering parameter may be associated with multiple methods for obtaining the first measurement result. In some embodiments, multiple filtering parameters may be associated with one method for obtaining the first measurement result.

[0136] In one example, the network device may configure one filtering parameter for one method of obtaining the first measurement result. In one example, the network device may configure one filtering parameter for multiple methods of obtaining the first measurement result. In one example, the network device may configure multiple filtering parameters for one method of obtaining the first measurement result.

[0137] In some embodiments, the first measurement result may be a valid measurement result reported by the terminal.

[0138] In some embodiments, the manner of acquiring the first measurement result includes at least one of determining the first measurement result based on measurement, determining the first measurement result based on prediction, and determining the first measurement result based on measurement and prediction.

[0139] In an example, determining the first measurement result based on measurement may be understood as the terminal obtaining the first measurement result by performing multiple measurements.

[0140] In one example, determining the first measurement result based on measurement can be understood as the terminal determining the first measurement result based on multiple second measurement results obtained by performing multiple measurements. For example, the terminal can determine the average of the multiple second measurement results obtained through measurement as the first measurement result, but is not limited thereto.

[0141] In some embodiments, multiple second measurement results obtained by performing multiple measurements can be called second measurement results based on measurement, true measurement results, measurement results obtained by measurement, measurement samples, samples obtained based on measurement, etc., and the names are not limited thereto.

[0142] In an example, determining the first measurement result based on the prediction can be understood as the terminal obtaining the first measurement result by performing a prediction.

[0143] In one example, determining the first measurement result based on the prediction can be understood as the terminal determining the first measurement result by performing a prediction on a second measurement result obtained. For example, the terminal can determine a second measurement result obtained by prediction as the first measurement result, but is not limited thereto.

[0144] In an example, determining the first measurement result based on the prediction may be understood as the terminal obtaining the first measurement result by performing multiple predictions.

[0145] In one example, determining the first measurement result based on the prediction can be understood as the terminal determining the first measurement result based on multiple second measurement results obtained by performing multiple predictions. For example, the terminal can determine the first measurement result as the average of the multiple second measurement results obtained by the prediction, but is not limited thereto.

[0146] In some embodiments, the multiple second measurement results obtained by performing multiple predictions may be referred to as second measurement results obtained based on predictions, predicted measurement results, predicted samples, samples obtained based on predictions, etc., and the names are not limited thereto.

[0147] In an example, determining the first measurement result based on measurement and prediction can be understood as the terminal determining the first measurement result by performing one or more measurements and one or more predictions.

[0148] In one example, determining the first measurement result based on measurement and prediction can be understood as the terminal determining the first measurement result by performing one or more measurements to obtain one or more second measurement results and performing one or more predictions to obtain one or more second measurement results. For example, the terminal may determine the first measurement result as an average of at least one second measurement result obtained through measurement and at least one second measurement result obtained through prediction, but is not limited thereto.

[0149] In an example, determining the first measurement result based on measurement and prediction can be understood as the terminal determining the first measurement result through one or more samples obtained based on measurement and one or more samples obtained based on prediction.

[0150] In some embodiments, the terminal may perform predictions through an AI model.

[0151] In some embodiments, the first measurement result is obtained by determining the first measurement result based on a plurality of second measurement results obtained based on sample proportions and determining the first measurement result based on a plurality of second measurement results obtained based on sample patterns.

[0152] In some embodiments, the sample proportion may include a proportion of the second measurement result obtained based on prediction in the plurality of second measurement results and / or a proportion of the second measurement result obtained based on measurement in the plurality of second measurement results.

[0153] In one example, determining the first measurement result based on multiple second measurement results obtained based on sample proportions can be understood as: the terminal obtains multiple second measurement results based on the proportion of the predicted second measurement result in the multiple second measurement results and / or the proportion of the measured second measurement result in the multiple second measurement results, and determines the first measurement result based on the multiple second measurement results. For example, the terminal may determine the average of the multiple second measurement results as the first measurement result, but is not limited to this.

[0154] In an example, when the sample proportion includes a proportion of the second measurement result obtained based on the prediction in multiple second measurement results, the terminal may determine the multiple second measurement results based on the proportion, and determine the first measurement result based on the multiple second measurement results.

[0155] In an example, when the sample proportion includes a proportion of the second measurement result obtained based on measurement in multiple second measurement results, the terminal may determine the multiple second measurement results based on the proportion, and determine the first measurement result based on the multiple second measurement results.

[0156] In one example, when the sample proportion includes the proportion of the second measurement result obtained based on prediction among the multiple second measurement results and the proportion of the second measurement result obtained based on measurement among the multiple second measurement results, the terminal may determine the multiple second measurement results based on the two proportions, and determine the first measurement result based on the multiple second measurement results. In one example, when the proportion of the second measurement result obtained based on prediction among the multiple second measurement results is 0% and the proportion of the second measurement result obtained based on measurement among the multiple second measurement results is 100%, all of the multiple second measurement results are obtained based on measurement. In this case, determining the first measurement result based on the multiple second measurement results obtained based on the sample proportion means determining the first measurement result based on the multiple second measurement results obtained by measurement.

[0157] In one example, if the second measurement result obtained based on measurement accounts for 0% of the multiple second measurement results and the second measurement result obtained based on prediction accounts for 100% of the multiple second measurement results, all of the multiple second measurement results are obtained based on prediction. In this case, determining the first measurement result based on the multiple second measurement results obtained based on the sample proportions is equivalent to determining the first measurement result based on the multiple second measurement results obtained based on the predictions.

[0158] In one example, when the second measurement result obtained based on measurement accounts for a value between 0% and 100% (excluding 0% and 100%) of the multiple second measurement results, and the second measurement result obtained based on prediction accounts for a value between 0% and 100% of the multiple second measurement results, the multiple second measurement results are obtained based on both measurement and prediction. In this case, determining the first measurement result based on the multiple second measurement results obtained based on the sample proportions means determining the first measurement result based on the multiple second measurement results obtained based on both measurement and prediction.

[0159] In some embodiments, the sample ratio may be configured by the network device, may be agreed upon by the protocol, or may be determined by the UE based on implementation or terminal capabilities, and there is no limitation on this.

[0160] In some embodiments, the sample pattern may include at least one second measurement result obtained based on prediction and / or at least one second measurement result obtained based on measurement.

[0161] In some embodiments, the sample pattern may be represented by a bitstream. In some embodiments, a 1 in the bitstream may represent a second measurement result obtained through measurement, and a 0 may represent a second measurement result obtained through prediction. For example, the sample pattern may be: 11001, 11100, 10101, etc.

[0162] In one example, determining the first measurement result based on multiple second measurement results obtained from the sample pattern can be understood as: after the terminal obtains the multiple second measurement results based on the sample pattern, determining the first measurement result based on the multiple second measurement results. For example, the terminal may determine the average of the multiple second measurement results as the first measurement result, but is not limited to this.

[0163] In an example, when the sample pattern includes at least one second measurement result obtained based on the prediction, the terminal may determine the first measurement result according to the at least one second measurement result obtained based on the prediction.

[0164] In an example, when the sample pattern includes at least one second measurement result obtained based on measurement, the terminal may determine the first measurement result according to the at least one second measurement result obtained based on the measurement.

[0165] In one example, when the sample pattern includes at least one second measurement result obtained based on prediction and at least one second measurement result obtained based on measurement, the terminal may determine the first measurement result based on the at least one second measurement result obtained based on prediction and the at least one second measurement result obtained based on measurement.

[0166] In one example, when all sample patterns contain at least one second measurement result obtained based on measurement, determining the first measurement result based on multiple second measurement results obtained based on the sample patterns means determining the first measurement result based on multiple second measurement results obtained based on measurement.

[0167] In one example, when all the sample patterns contain at least one second measurement result obtained based on prediction, determining the first measurement result based on multiple second measurement results obtained from the sample patterns is: determining the first measurement result based on multiple second measurement results obtained based on prediction.

[0168] In one example, when the sample pattern includes at least one second measurement result obtained based on measurement and at least one second measurement result obtained based on prediction, determining the first measurement result based on multiple second measurement results obtained from the sample pattern is: determining the first measurement result based on multiple second measurement results obtained from measurement and prediction.

[0169] In some embodiments, the sample pattern may be configured by a network device, may be agreed upon by a protocol, or may be determined by a terminal based on implementation or terminal capabilities, and this is not limited.

[0170] In some embodiments, the network device may configure specific sample patterns, each pattern corresponds to an index, and the network device may configure specific indexes for the terminal, for example: index 1 indicates 11100; index 2 indicates 10101; index 3 indicates 11001, and so on.

[0171] In one example, the method for obtaining the first measurement result includes at least one of determining the first measurement result based on measurement and determining the first measurement result based on prediction. When the method for obtaining the first measurement result is: determining the first measurement result based on measurement, the first information may indicate a filtering parameter. For example, the network device may configure a filtering parameter (e.g., filtering parameter 1) for determining the first measurement result based on measurement. That is, filtering parameter 1 is applicable to determining the first measurement result based on measurement, but is not limited to this.

[0172] In one example, the method for obtaining the first measurement result includes at least one of determining the first measurement result based on measurement and determining the first measurement result based on prediction. When the method for obtaining the first measurement result is: determining the first measurement result based on prediction, the first information may indicate a filtering parameter. For example, the network device may configure a filtering parameter (e.g., filtering parameter 2) for determining the first measurement result based on prediction. In other words, filtering parameter 2 is applicable to determining the first measurement result based on prediction, but is not limited to this.

[0173] In one example, the method for obtaining the first measurement result includes at least one of determining the first measurement result based on measurement and determining the first measurement result based on prediction. When the method for obtaining the first measurement result is: determining the first measurement result based on measurement and determining the first measurement result based on prediction, the first information may indicate two filtering parameters. For example, the network device may configure a filtering parameter (such as filtering parameter 1) for determining the first measurement result based on measurement, and configure a filtering parameter (such as filtering parameter 2) for determining the first measurement result based on prediction. That is, filtering parameter 1 is applicable to determining the first measurement result based on measurement, and filtering parameter 2 is applicable to determining the first measurement result based on prediction, but is not limited thereto. In this case, the two filtering parameters configured by the network device may be the same or different, and there is no limitation on this.

[0174] In one example, the method for obtaining the first measurement result includes at least one of determining the first measurement result based on measurement, determining the first measurement result based on prediction, and determining the first measurement result based on both measurement and prediction. When the method for obtaining the first measurement result is: determining the first measurement result based on measurement, the first information may indicate a filtering parameter. For example, the network device may configure a filtering parameter (e.g., filtering parameter 1) for determining the first measurement result based on measurement. That is, filtering parameter 1 is applicable to determining the first measurement result based on measurement, but is not limited thereto.

[0175] In one example, the method for obtaining the above-mentioned first measurement result includes determining the first measurement result based on measurement, determining the first measurement result based on prediction, and determining the first measurement result based on measurement and prediction. In the case where the method for obtaining the first measurement result is: determining the first measurement result based on measurement and determining the first measurement result based on prediction, the first information may indicate two filtering parameters. For example, the network device may configure a filtering parameter (such as filtering parameter 1) for determining the first measurement result based on measurement, and configure a filtering parameter (such as filtering parameter 2) for determining the first measurement result based on prediction. That is, filtering parameter 1 is applicable to determining the first measurement result based on measurement, and filtering parameter 2 is applicable to determining the first measurement result based on prediction, but is not limited thereto. In this case, the two filtering parameters configured by the network device may be the same or different, and there is no limitation on this.

[0176] In one example, the acquisition method of the first measurement result includes at least one of determining the first measurement result based on measurement, determining the first measurement result based on prediction, and determining the first measurement result based on measurement and prediction. When the acquisition method of the first measurement result is: determining the first measurement result based on measurement, determining the first measurement result based on prediction, and determining the first measurement result based on measurement and prediction, the first information may indicate two filtering parameters. For example, the network device may configure a filtering parameter (such as filtering parameter 1) for determining the first measurement result based on measurement, and configure a filtering parameter (such as filtering parameter 2) for determining the first measurement result based on prediction and determining the first measurement result based on measurement and prediction. That is, filtering parameter 1 is applicable to determining the first measurement result based on measurement, and filtering parameter 2 is applicable to the acquisition method of the first measurement result involving prediction, that is, filtering parameter 2 is applicable to determining the first measurement result based on prediction and determining the first measurement result based on measurement and prediction, but is not limited to this. In this case, the two filtering parameters configured by the network device may be the same or different, and this is not limited.

[0177] In one example, the method for obtaining the above-mentioned first measurement result includes at least one of determining the first measurement result based on measurement, determining the first measurement result based on prediction, and determining the first measurement result based on measurement and prediction. When the method for obtaining the first measurement result is: determining the first measurement result based on measurement, determining the first measurement result based on prediction, and determining the first measurement result based on measurement and prediction, the first information may indicate three filtering parameters. For example, the network device may configure a filtering parameter (such as filtering parameter 1) for determining the first measurement result based on measurement, a filtering parameter (such as filtering parameter 2) for determining the first measurement result based on prediction, and a filtering parameter (such as filtering parameter 3) for determining the first measurement result based on measurement and prediction. That is, filtering parameter 1 is applicable to determining the first measurement result based on measurement, filtering parameter 2 is applicable to determining the first measurement result based on prediction, and filtering parameter 3 is applicable to determining the first measurement result based on measurement and prediction, but the present invention is not limited thereto. In this case, the three filtering parameters configured by the network device may be the same or different, and this is not limited to this.

[0178] In one example, a method for obtaining the first measurement result includes determining the first measurement result based on multiple second measurement results obtained based on sample proportions, and determining the first measurement result based on multiple second measurement results obtained based on a sample pattern. When the first measurement result is obtained by determining the first measurement result based on multiple second measurement results obtained based on sample proportions, the network device may configure different filtering parameters for different sample proportions. In this case, the first information may indicate three filtering parameters. For example, filtering parameter 1 applies to a sample proportion of 0%; filtering parameter 2 applies to a sample proportion of 50%; and filtering parameter 3 applies to a sample proportion of 100%, but the present invention is not limited thereto.

[0179] In one example, the method for obtaining the first measurement result includes determining the first measurement result based on multiple second measurement results obtained based on sample proportions, and determining the first measurement result based on multiple second measurement results obtained based on sample patterns. When the method for obtaining the first measurement result is to determine the first measurement result based on multiple second measurement results obtained based on sample patterns, the network device can configure different filtering parameters for different sample patterns. In this case, the first information may indicate three filtering parameters. For example, filtering parameter 4 applies to sample pattern 1; filtering parameter 5 applies to sample pattern 2; and filtering parameter 6 applies to sample pattern 3, but the present invention is not limited thereto.

[0180] In some embodiments, the network device sends a first parameter associated with the method for obtaining the first measurement result; the first parameter is used to determine each filtering parameter corresponding to the method for obtaining the first measurement result.

[0181] In some embodiments, the first parameter may be carried in the first information and sent, but is not limited thereto.

[0182] In some embodiments, the terminal may receive a first parameter associated with a method for obtaining the first measurement result. After obtaining the first parameter, the terminal may determine a first filtering parameter based on the first parameter.

[0183] In some embodiments, the first parameter may be represented by x, where x is associated with a method for obtaining the first measurement result. For example, different values ​​of x may correspond to different methods for obtaining the first measurement result.

[0184] In some embodiments, the parameter b can be determined based on x, for example, by the following formula: b=1 / 2 (x / 4) (2)

[0185] In some embodiments, parameter b is used in the following formula: n =(1-b)(1-a)*F n-1 +b*a*M n (3)

[0186] Among them, M n 、F n 、F n-1 , aSee the explanation in formula (1).

[0187] In one example, the first filtering parameter may be parameter b.

[0188] In some embodiments, the first information may be carried in at least one of quantity configuration information (such as QuantityConfig) and measurement object configuration information (such as MeasObject) and sent.

[0189] In some embodiments, quantity configuration information (such as QuantityConfig) may include multiple filtering parameters.

[0190] In some embodiments, the measurement object configuration information (such as MeasObject) may be used to indicate an association between the manner of obtaining the first measurement result and the identifiers of the filtering parameters.

[0191] In an example, the MeasObject may include one or more indication information, and each indication information may indicate an association between the method for obtaining the first measurement result and the identifier of each filtering parameter.

[0192] In one example, the one or more indication information may be quantity configuration index-prediction 1 (e.g., quantityConfigIndex-prediction1). quantityConfigIndex-prediction1 may be used to indicate that the nth element of the quantityConfig List provided in MeasConfig is associated with prediction method 1 (i.e., a method for obtaining the first measurement result). When a measurement result is generated using prediction method 1, the configuration associated with prediction method 1 (e.g., quantityConfig / FilterConfig) is used.

[0193] In some embodiments, the first information may be determined by the terminal based on its own implementation, protocol provisions, etc. In this case, the terminal may determine the multiple filtering parameters indicated by the first information based on its own implementation, protocol provisions, etc. In some embodiments, the filtering parameters are associated with the method of obtaining the first measurement result obtained by the first entity. In other words, step S2101 may not be performed before step S2102.

[0194] In step S2102, the terminal obtains a first measurement result in a first acquisition method.

[0195] In some embodiments, a first entity of the terminal may determine a first measurement result (eg, a valid measurement result) and report the first measurement result to a second entity of the terminal (eg, L3).

[0196] In some embodiments, after the second entity of the terminal receives the first measurement result reported by the first entity, it needs to filter the first measurement result. At this time, it is necessary to obtain the filtering parameters. Since the filtering parameters are associated with the acquisition method of the first measurement result, the terminal needs to obtain the first acquisition method of the first measurement result.

[0197] In some embodiments, the second information may be used to indicate a method for obtaining the first measurement result.

[0198] In some embodiments, the second information may include an identifier of a method for obtaining the first measurement result, but the name is not limited thereto. For example, identifier 00 may be used to indicate that the method for obtaining the first measurement result is to determine the first measurement result based on measurement; identifier 01 may be used to indicate that the method for obtaining the first measurement result is to determine the first measurement result based on prediction; identifier 10 may be used to indicate that the method for obtaining the first measurement result is to determine the first measurement result based on measurement and prediction, but the present invention is not limited thereto. In this case, the second entity may obtain the first method for obtaining the first measurement result based on the identifier of the method for obtaining the first measurement result.

[0199] In some embodiments, the second information may include a sample ratio value. In this case, the second entity may obtain the first measurement result based on the sample ratio value by determining the first measurement result based on multiple second measurement results obtained based on the sample ratio.

[0200] In some embodiments, the second information may include a value of the sample pattern. In this case, the second entity may obtain the first measurement result based on the value of the sample pattern by determining the first measurement result based on multiple second measurement results obtained from the sample pattern.

[0201] In some embodiments, the first entity may report the second information to the second entity.

[0202] In some embodiments, the terminal may determine the second information based on its own implementation determination, protocol provisions, etc.

[0203] In step S2103, the terminal determines a first filtering parameter.

[0204] In some embodiments, after obtaining the first acquisition method of the first measurement result, the terminal may determine the first filtering parameter according to the first acquisition method of the first measurement result. In some embodiments, the first acquisition method may be any one of the at least one acquisition method of the first measurement result.

[0205] In some embodiments, multiple filtering parameters are associated with an acquisition method of the first measurement result obtained by the first entity. The terminal can determine the first filtering parameter associated with the first acquisition method from the multiple filtering parameters indicated by the received first information based on the first acquisition method of the first measurement result.

[0206] In some embodiments, when multiple filtering parameters are associated with a method for obtaining the first measurement result, the terminal may determine the first filtering parameter based on its own implementation. In some embodiments, when multiple filtering parameters are associated with a method for obtaining the first measurement result, the terminal may also determine any one of the multiple filtering parameters as the first filtering parameter. In some embodiments, when multiple filtering parameters are associated with a method for obtaining the first measurement result, the terminal may also determine the first filtering parameter based on other rules (such as parameter priority). The above is an exemplary description, and the embodiments of the present disclosure do not limit the method for determining the first filtering parameter.

[0207] In some embodiments, when the first information is determined by the terminal based on its own implementation or specified by the protocol, the terminal can determine, based on the first acquisition method of the first measurement result, a first filtering parameter associated with the first acquisition method of the first measurement result from multiple filtering parameters indicated by the first information determined based on its own implementation and specified by the protocol.

[0208] In some embodiments, the terminal may acquire a first parameter associated with the first acquisition method, determine a first filtering parameter according to the first parameter, and filter the first measurement result based on the first filtering parameter.

[0209] In some embodiments, the first parameter may be represented by x, where x is associated with a method for obtaining the first measurement result. For example, different values ​​of x may correspond to different methods for obtaining the first measurement result.

[0210] In some embodiments, parameter b may be determined based on x. The method for determining parameter b is shown in the above formula (2).

[0211] In some embodiments, parameter b is used in equation (3) above.

[0212] In step S2104, the terminal filters the first measurement result based on the first filtering parameter.

[0213] In some embodiments, after determining the first filtering parameter, the terminal may filter the first measurement result according to the first filtering parameter.

[0214] In some embodiments, the second entity may filter the first measurement result according to a first filtering parameter.

[0215] In one example, the terminal may perform five measurements to obtain five second measurement results, and determine the first measurement result based on the five second measurement results. Then, based on the first measurement result determined based on the measurements (i.e., the first acquisition method for the first measurement result), the terminal determines a first filtering parameter a corresponding to the first acquisition method from the multiple filtering parameters indicated by the first information, and substitutes the parameter a into formula (1) to filter the first measurement result.

[0216] In one example, the terminal may perform five measurements to obtain five second measurement results, and determine the first measurement result based on the five second measurement results. The terminal then obtains a first parameter x associated with the first measurement result determined based on the measurements (i.e., the first method for obtaining the first measurement result), substitutes the parameter x into formula (2) to determine a first filtering parameter b, and substitutes the parameter b into formula (3) to filter the first measurement result.

[0217] In one example, the terminal may perform five predictions to obtain five second measurement results, and determine the first measurement result based on the five second measurement results. Then, based on the first measurement result determined based on the prediction (i.e., the first acquisition method for the first measurement result), the terminal determines a first filtering parameter a corresponding to the first acquisition method from the multiple filtering parameters indicated by the first information, and substitutes the parameter a into formula (1) for filtering.

[0218] In one example, the terminal may perform five predictions to obtain five second measurement results, and determine the first measurement result based on the five second measurement results. The terminal then obtains a first parameter x associated with the first measurement result determined based on the prediction (i.e., the first method for obtaining the first measurement result), substitutes the parameter x into formula (2) to determine a first filtering parameter b, and substitutes the parameter b into formula (3) to filter the first measurement result.

[0219] In one example, the terminal may perform three measurements to obtain three second measurement results and perform two predictions to obtain two second measurement results, and determine the first measurement result based on the five second measurement results. Then, based on determining the first measurement result based on the measurements and predictions (i.e., the first acquisition method for the first measurement result), the terminal determines a first filter parameter a corresponding to the first acquisition method from the multiple filter parameters indicated by the first information, and substitutes the parameter a into formula (1) to filter the first measurement result.

[0220] In one example, the terminal may perform three measurements to obtain three second measurement results and perform two predictions to obtain two second measurement results, and determine the first measurement result based on the five second measurement results. The terminal then obtains a first parameter x associated with the first measurement result determined based on the measurement and prediction (i.e., the first method for obtaining the first measurement result), substitutes the parameter x into formula (2) to determine a first filtering parameter b, and substitutes the parameter b into formula (3) to filter the first measurement result.

[0221] In one example, the terminal determines the number of times measurements are performed and the number of times predictions are performed (the sum of the two numbers is 5) based on the sample ratio, and determines a first measurement result based on the five measurement results obtained by performing the measurements and the predictions. The terminal then determines the first measurement result based on multiple second measurement results obtained based on the sample ratio (i.e., the first acquisition method for the first measurement result), determines a first filter parameter a corresponding to the first acquisition method from the multiple filter parameters indicated by the first information, and substitutes the parameter a into formula (1) for filtering.

[0222] In one example, the terminal determines the number of times measurements are performed and the number of times predictions are performed (the sum of the two numbers is 5) based on the sample ratio, and determines a first measurement result based on the five measurement results obtained by performing the measurements and the predictions. The terminal then obtains a first parameter x associated with the first measurement result determined from the multiple second measurement results obtained based on the sample ratio (i.e., the first method for obtaining the first measurement result), substitutes the parameter x into formula (2) to determine a first filtering parameter b, and substitutes the parameter b into formula (3) to filter the first measurement result.

[0223] In one example, based on the sample pattern, the terminal determines the number of times measurements are performed and the number of times predictions are performed (the sum of the two numbers is 5), and determines a first measurement result using five measurement results obtained from the measurements and predictions. The terminal then determines the first measurement result based on multiple second measurement results obtained based on the sample pattern (i.e., a first acquisition method for the first measurement result), determines a first filter parameter a corresponding to the first acquisition method from multiple filter parameters indicated by the first information, and substitutes parameter a into formula (1) for filtering.

[0224] In one example, based on a sample pattern, the terminal determines the number of times measurements are performed and the number of times predictions are performed (the sum of the two numbers is 5), and determines a first measurement result using five measurement results obtained from the measurements and predictions. The terminal then obtains a first parameter x associated with the first measurement result determined from multiple second measurement results obtained based on the sample pattern (i.e., a first method for obtaining the first measurement result), substitutes the parameter x into formula (2) to determine a first filtering parameter b, and substitutes the parameter b into formula (3) to filter the first measurement result.

[0225] The communication method involved in the embodiments of the present disclosure may include at least one of steps S2101 to S2104. For example, step S2101 may be implemented as an independent embodiment, step S2103 may be implemented as an independent embodiment, the combination of steps S2101, S2102, and S2103 may be implemented as an independent embodiment, the combination of steps S2102 and S2103 may be implemented as an independent embodiment, and the combination of steps S2102, S2103, and S2104 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0226] In some embodiments, steps S2102 to S2104 are optional and may be omitted or replaced in different embodiments.

[0227] In some embodiments, steps S2101, S2102, S2103, and S2104 are optional and may be omitted or replaced in different embodiments.

[0228] In some embodiments, the execution order of steps S2101, S2102, S2103, and S2104 can be adjusted. For example, steps S2102 and S2101 can be implemented as independent embodiments.

[0229] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0230] In some embodiments, the terms "carry", "include", "comprises", etc. can be used interchangeably.

[0231] In some embodiments, terms such as "downlink", "downlink", "physical downlink" can be used interchangeably, and terms such as "side", "sidelink", "side communication", "sidelink communication", "direct connection", "direct link", "direct communication", and "direct link communication" can be used interchangeably.

[0232] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0233] In some embodiments, terms such as "send", "transmit", "report", "send", "transmit", "request", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0234] In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "some", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "some A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, some A, any A, or first A, etc., but not limited to this.

[0235] In some embodiments, the determination or judgment can be performed by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values ​​(for example, comparison with a predetermined value), but is not limited thereto.

[0236] FIG2B is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG2B , the embodiment of the present disclosure relates to a communication method, which includes steps S2201 to S2202.

[0237] In step S2201, the network device sends first information.

[0238] The optional implementation of step S2201 can refer to the optional implementation of step S2101 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0239] In some embodiments, the first information may be used to indicate a plurality of filtering parameters.

[0240] In step S2202, the terminal filters the first measurement result based on the first filtering parameter.

[0241] In some embodiments, the first filtering parameter may be one of a plurality of filtering parameters indicated by the first information.

[0242] The optional implementation of step S2202 can refer to the optional implementation of step S2104 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0243] The communication method involved in the embodiments of the present disclosure may include at least one of steps S2201 and S2202. For example, step S2201 may be implemented as an independent embodiment, step S2202 may be implemented as an independent embodiment, and a combination of steps S2201 and S2202 may be implemented as an independent embodiment, but is not limited thereto.

[0244] In some embodiments, steps S2201 and S2202 are optional and may be omitted or replaced in different embodiments.

[0245] Figure 3A is a flow chart of a communication method performed by a terminal according to an embodiment of the present disclosure. As shown in Figure 3A, the present disclosure embodiment relates to a communication method, which is applied to the terminal, and the method includes steps S3101 to S3104.

[0246] In step S3101, first information is obtained.

[0247] The optional implementation of step S3101 can refer to the optional implementation of step S2101 in Figure 2A, the optional implementation of step S2201 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0248] In step S3102, a first acquisition method for a first measurement result is obtained.

[0249] The optional implementation of step S3102 can refer to the optional implementation of step S2102 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0250] In step S3103, a first filtering parameter is determined.

[0251] The optional implementation of step S3103 can refer to the optional implementation of step S2103 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0252] In step S3104, the first measurement result is filtered based on the first filtering parameter.

[0253] The optional implementation of step S3104 can refer to the optional implementation of step S2104 in Figure 2A, the optional implementation of step S2202 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0254] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3101 to S3104. For example, step S3101 can be implemented as an independent embodiment, step S3103 can be implemented as an independent embodiment, step S3104 can be implemented as an independent embodiment, the combination of steps S3101, S3102, and S3103 can be implemented as an independent embodiment, the combination of steps S3102 and S3103 can be implemented as an independent embodiment, and the combination of steps S3102, S3103, and S3104 can be implemented as an independent embodiment, but the present invention is not limited thereto.

[0255] In some embodiments, steps S3102 to S3104 are optional and may be omitted or replaced in different embodiments.

[0256] In some embodiments, steps S3101, S3102, S3103, and S3104 are optional and may be omitted or replaced in different embodiments.

[0257] In some embodiments, the execution order of steps S3101, S3102, S3103, and S3104 can be adjusted. For example, steps S3102 and S3101 can be implemented as independent embodiments.

[0258] Figure 3B is a flow chart of a communication method performed by a network device according to an embodiment of the present disclosure. As shown in Figure 3B, the present disclosure embodiment relates to a communication method, which is applied to the above network device, and the method includes step S3201.

[0259] In step S3201, the first information is sent.

[0260] The optional implementation of step S3201 can refer to the optional implementation of step S2101 in Figure 2A, the optional implementation of step S2201 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0261] Figure 3C is a flow chart of a communication method performed by a terminal according to an embodiment of the present disclosure. As shown in Figure 3C, the present disclosure embodiment relates to a communication method, which is applied to the above-mentioned terminal, and the above-mentioned method includes steps S3301 to S3302.

[0262] In step S3301, first information is obtained.

[0263] The optional implementation of step S3301 can refer to the optional implementation of step S2101 in Figure 2A, the optional implementation of step S2201 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0264] In step S3302, the first measurement result is filtered based on the first filtering parameter.

[0265] The optional implementation of step S3302 can refer to the optional implementation of step S2104 in Figure 2A, the optional implementation of step S2202 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0266] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3301 and S3302. For example, step S3301 may be implemented as an independent embodiment, step S3302 may be implemented as an independent embodiment, and a combination of steps S3301 and S3302 may be implemented as an independent embodiment, but is not limited thereto.

[0267] In some embodiments, steps S3301 and S3302 are optional and may be omitted or replaced in different embodiments.

[0268] Figure 4A is another flow chart of a terminal side executing a communication method according to an embodiment of the present disclosure. As shown in Figure 4A, the embodiment of the present disclosure relates to a communication method, which is applied to the above-mentioned terminal, and the above-mentioned method includes step S4101.

[0269] In step S4101, a first filtering parameter is determined.

[0270] The optional implementation of step S4101 can refer to the optional implementation of step S2103 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0271] Figure 4B is another flow chart of a terminal side executing a communication method according to an embodiment of the present disclosure. As shown in Figure 4B, the embodiment of the present disclosure relates to a communication method, which is applied to the above-mentioned terminal, and the above-mentioned method includes step S4201.

[0272] In step S4201, the first measurement result is filtered based on a first filtering parameter.

[0273] The optional implementation of step S4201 can refer to the optional implementation of step S2104 in Figure 2A, the optional implementation of step S2202 in Figure 2B, and other related parts in the embodiments involved in Figures 2A and 2B, which will not be repeated here.

[0274] In some embodiments, the UE determines the filtering parameters based on the generation of measurement results, where the generation of measurement results includes the following categories: real measurement results; measurement results obtained based on predictions; and measurement results determined based on a scheme for obtaining valid measurement results.

[0275] In some embodiments, the measurement results obtained based on the prediction include: measurement results obtained by comprehensively considering samples obtained based on the measurement and samples based on the prediction; and measurement results obtained only based on the prediction.

[0276] In some embodiments, the filtering parameters are configured by the network. The network side may configure multiple groups of filtering parameters, each group of filtering parameters corresponding to a different source of prediction results.

[0277] In some embodiments, the network side configures different filtering parameters for actual measurement results and measurement results obtained based on prediction.

[0278] In one example, it may correspond to two groups of filtering parameters, for example: filtering parameter 1 is applicable when the measurement result is a real measurement result; filtering parameter 2 is applicable when the measurement result is a measurement result obtained based on prediction.

[0279] In one example, it can correspond to three groups of filtering parameters, for example: filtering parameter 1 is applicable to measurement results that are real measurement results; filtering parameter 2 is applicable to measurement results that are obtained by comprehensively considering samples obtained based on measurements and samples based on predictions; filtering parameter 3 is applicable to measurement results that are obtained only based on predictions.

[0280] In some embodiments, the UE determines the filtering parameters based on a scheme for obtaining valid measurement results. Different measurement results correspond to different measurement result acquisition schemes. Different measurement result acquisition schemes can be distinguished by any of the following two methods: one is a valid measurement result obtained based on the predicted sample ratio (and / or the measured sample ratio); the other is a valid measurement result obtained based on the predicted pattern.

[0281] The predicted sample ratio (and / or measured sample ratio) or the predicted pattern specifies the ratio or pattern of the predicted samples and the actually measured samples in obtaining a valid measurement result.

[0282] In some embodiments, the filtering parameters are configured by the network. The network side may configure multiple groups of filtering parameters, each group of filtering parameters corresponding to a different measurement result acquisition scheme.

[0283] In some embodiments, the network side configures different filtering parameters for different measurement result acquisition schemes.

[0284] In some embodiments, the network side configures different filtering parameters for different prediction sample ratios (and / or measurement sample ratios).

[0285] In one example, filter parameter 1 is applicable when the measurement result corresponds to a predicted sample ratio (and / or a measured sample ratio) of 0%; filter parameter 2 is applicable when the measurement result corresponds to a predicted sample ratio (and / or a measured sample ratio) of 50%; and filter parameter 3 is applicable when the measurement result corresponds to a predicted sample ratio (and / or a measured sample ratio) of 100%.

[0286] In some embodiments, the network side configures different filtering parameters for different prediction patterns.

[0287] In one example, filter parameter 1 is applicable to measurement results corresponding to prediction pattern 1 ; filter parameter 2 is applicable to measurement results corresponding to prediction pattern 2 ; and filter parameter 3 is applicable to measurement results corresponding to prediction pattern 3 .

[0288] In some embodiments, the filtering parameters may be configured by including additional sets of filtering parameters in QuantityConfig, and the UE may select the filtering parameters for filtering based on the above method, as shown in formula (1).

[0289] In some embodiments, filtering parameters can also be included by including one or more indications in the measurement object (MeasObject) configuration, each indication associating a corresponding prediction result generation method with a filtering parameter identifier (e.g., quantityConfigIndex-prediction 1), where quantityConfigIndex-prediction1 indicates the nth element of the quantityConfigNR List provided in MeasConfig, which is associated with prediction method 1. When the most recently received measurement result is generated by prediction method 1, the associated quantityConfig / FilterConfig will be used.

[0290] In some embodiments, the filtering parameter can also be implemented by introducing a parameter x, where the parameter x is associated with a method for generating a prediction result (e.g., a scheme for obtaining a real measurement result, a scheme for obtaining a measurement result based on a prediction, and a scheme for obtaining an effective measurement result). Different parameters x correspond to different measurement result generation methods, and parameter b can be obtained based on parameter x, for example: b=1 / 2 (x / 4) , or, b is used in the above formula (3).

[0291] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device) in any of the above methods.

[0292] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions, and in actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions, and the processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), and the functions of some or all of the above units or modules are realized by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD), taking a field programmable gate array (FPGA) as an example, which can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by software called by the processor, and the rest by hardware circuits.

[0293] In the embodiment of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a CPU, a microprocessor, a graphics processing unit (GPU) (which can also be understood as a microprocessor), or a digital signal processor (DSP); in another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit, and the logical relationship of the above hardware circuit is fixed or reconfigurable, such as a hardware circuit implemented by an ASIC or PLD, such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document to implement the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0294] As shown in Figure 5A, Figure 5A is a structural diagram of a communication device provided according to an embodiment of the present disclosure. The structure of the communication device 5100 may be as shown in Figure 5A. The communication device 5100 may be a terminal. The communication device 5100 includes: a processing module 5101. In some embodiments, the processing module 5101 is used to determine a first filtering parameter, the first filtering parameter is associated with a first acquisition method of the first measurement result, and the first filtering parameter is used to filter the first measurement result. In some embodiments, the above-mentioned processing module 5101 is configured to execute at least one of the processing steps (for example, step S3102, step S3103, step S3104, step S3302) performed by the terminal in any of the above methods, which will not be repeated here.

[0295] As shown in Figure 5B, Figure 5B is a structural diagram of a communication device provided according to an embodiment of the present disclosure. The structure of the above-mentioned communication device 5200 can be as shown in Figure 5B. The communication device 5200 can be a network device. The communication device 5200 includes: a transceiver module 5201. In some embodiments, the transceiver module 5201 is used to send first information, wherein the first information is used to indicate multiple filtering parameters. In some embodiments, the above-mentioned transceiver module 5201 is configured to perform at least one of the communication steps such as sending and / or receiving (for example, step S3201) performed by the network device in any of the above methods, which will not be repeated here.

[0296] In some embodiments, the transceiver module 5201 may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module 5201 may be interchangeable with a transceiver.

[0297] Figure 6A is a schematic diagram of the structure of a communication device provided in an embodiment of the present disclosure. Communication device 6100 can be a network device (e.g., a base station), a terminal (e.g., user equipment, etc.), a chip, a chip system, or a processor that supports the communication device to implement any of the above methods, or a chip, a chip system, or a processor that supports the terminal to implement any of the above methods. Communication device 6100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0298] As shown in Figure 6A, the communication device 6100 includes one or more processors 6101. The processor 6101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control network nodes (such as base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. Optionally, the communication device 6100 is used to perform any of the above methods. Optionally, one or more processors 6101 are used to call instructions to enable the communication device 6100 to perform any of the above methods.

[0299] In some embodiments, the communication device 6100 further includes one or more transceivers 6102. When the communication device 6100 includes one or more transceivers 6102, the transceiver 6102 performs at least one of the communication steps such as sending and / or receiving in the above method (e.g., step S2101, but not limited thereto), and the processor 6101 performs at least one of the other steps (e.g., step S2102, but not limited thereto). In an optional embodiment, the transceiver may include a receiver and / or a transmitter, and the receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, and interface may be interchangeable, the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be interchangeable, and the terms receiver, receiving unit, receiver, and receiving circuit may be interchangeable.

[0300] In some embodiments, the communication device 6100 further includes one or more memories 6103 for storing data. Alternatively, all or part of the memories 6103 may be located outside the communication device 6100. In alternative embodiments, the communication device 6100 may include one or more interface circuits 6104. Optionally, the interface circuits 6104 are connected to the memories 6103 and may be configured to receive data from the memories 6103 or other devices, or to send data to the memories 6103 or other devices. For example, the interface circuits 6104 may read data stored in the memories 6103 and send the data to the processor 6101.

[0301] The communication device 6100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 6100 described in the present disclosure is not limited thereto, and the structure of the communication device 6100 may not be limited by FIG. 6A. The access network device may be an independent device or may be part of a larger device. For example, the terminal may be: (1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0302] FIG6B is a schematic diagram of a chip structure provided by an embodiment of the present disclosure. If the communication device 6100 can be a chip or a chip system, please refer to the schematic diagram of the chip structure 6200 shown in FIG6B , but the present disclosure is not limited thereto.

[0303] The chip 6200 includes one or more processors 6201. The chip 6200 is configured to execute any of the above methods.

[0304] In some embodiments, chip 6200 further includes one or more interface circuits 6202. Terms such as interface circuit, interface, and transceiver pins may be used interchangeably. In some embodiments, chip 6200 further includes one or more memories 6203 for storing data. Alternatively, all or part of memory 6203 may be located external to chip 6200. Optionally, interface circuit 6202 is connected to memory 6203 and may be used to receive data from memory 6203 or other devices, or may be used to send data to memory 6203 or other devices. For example, interface circuit 6202 may read data stored in memory 6203 and send the data to processor 6201.

[0305] In some embodiments, the interface circuit 6202 performs at least one of the communication steps of sending and / or receiving in the above method. For example, the interface circuit 6202 performing the communication steps of sending and / or receiving in the above method means that the interface circuit 6202 performs data exchange between the processor 6201, the chip 6200, the memory 6203, or the transceiver device.

[0306] The modules and / or devices described in various embodiments, such as virtual devices, physical devices, and chips, can be arbitrarily combined or separated according to circumstances. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0307] The present disclosure also proposes a storage medium having instructions stored thereon. When the instructions are executed on the communication device 6100, the communication device 6100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a transient storage medium.

[0308] The embodiment of the present disclosure further provides a computer program product, which, when executed by the communication device 6100, enables the communication device 6100 to execute any of the above methods.

[0309] The embodiments of the present disclosure also provide a computer program, which, when executed on a computer, enables the computer to execute any one of the above methods.

[0310] Other embodiments of the present disclosure will readily occur to those skilled in the art after considering the specification and practicing the embodiments disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the present disclosure that follow from the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the following claims.

[0311] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A communication method, applied to a terminal, comprising: A first filtering parameter is determined, where the first filtering parameter is associated with a first acquisition method of a first measurement result, and the first filtering parameter is used to filter the first measurement result.

2. The method according to claim 1, wherein The determining of the first filtering parameter includes: Based on the first acquisition method, the first filtering parameter is determined from a plurality of filtering parameters.

3. The method according to claim 2, wherein: The association relationship between the filtering parameter and the method for obtaining the first measurement result includes at least one of the following: A filtering parameter is associated with a method for obtaining the first measurement result; A filtering parameter is associated with multiple ways of obtaining the first measurement result; A plurality of filtering parameters are associated with a method for obtaining the first measurement result.

4. The method according to claim 2 or 3, wherein: The method further comprises: First information is received, where the first information is used to indicate the plurality of filtering parameters.

5. The method according to claim 4, wherein The first information is carried in at least one of the following: Quantity configuration information; the quantity configuration information includes the multiple filtering parameters; Measurement object configuration information; the measurement object configuration information is used to indicate the association between the method for obtaining the first measurement result and the identifiers of each filtering parameter.

6. The method according to any one of claims 2 to 5, wherein: The first measurement result is obtained in one of the following ways: determining the first measurement result based on the measurement; determining the first measurement result based on the prediction; The first measurement result is determined based on the measurement and the prediction.

7. The method according to any one of claims 2 to 5, wherein: The first measurement result is determined based on a plurality of second measurement results obtained by measurement; or, The first measurement result is the first measurement result determined based on a plurality of predicted second measurement results; or, The first measurement result is determined based on one or more second measurement results obtained by measurement and one or more second measurement results obtained by prediction.

8. The method according to any one of claims 2 to 5, wherein: The first measurement result is obtained in one of the following ways: determining the first measurement result based on a plurality of second measurement results obtained based on sample proportions, where the sample proportions include a proportion of the second measurement result obtained based on prediction in the plurality of second measurement results and / or a proportion of the second measurement result obtained based on measurement in the plurality of second measurement results; The first measurement result is determined based on a plurality of second measurement results obtained based on a sample pattern, wherein the sample pattern includes at least one second measurement result obtained based on prediction and / or at least one second measurement result obtained based on measurement.

9. The method according to any one of claims 1 to 8, wherein: The method further comprises: Acquire a first parameter associated with the first acquisition method; Based on the first parameter, the first filtering parameter is determined.

10. A communication method, applied to a network device, comprising: First information is sent, where the first information is used to indicate a plurality of filtering parameters.

11. The method according to claim 10, wherein: The association relationship between the filtering parameter and the method for obtaining the first measurement result includes at least one of the following: A filtering parameter is associated with a method for obtaining the first measurement result; A filtering parameter is associated with multiple ways of obtaining the first measurement result; A plurality of filtering parameters are associated with a method for obtaining the first measurement result.

12. The method according to claim 11, wherein The first information is carried in at least one of the following: Quantity configuration information; the quantity configuration information includes the multiple filtering parameters; Measurement object configuration information; the measurement object configuration information is used to indicate the association between the method for obtaining the first measurement result and the identifiers of each filtering parameter.

13. The method according to claim 11 or 12, wherein: The first measurement result is obtained in one of the following ways: determining the first measurement result based on the measurement; determining the first measurement result based on the prediction; The first measurement result is determined based on the measurement and the prediction.

14. The method according to claim 11 or 12, wherein: The first measurement result is determined based on a plurality of second measurement results obtained by measurement; or, The first measurement result is determined based on a plurality of predicted second measurement results; or, The first measurement result is determined based on one or more second measurement results obtained by measurement and one or more second measurement results obtained by prediction.

15. The method according to claim 11 or 12, wherein: The first measurement result is obtained in one of the following ways: determining the first measurement result based on a plurality of second measurement results obtained based on sample proportions, where the sample proportions include a proportion of the second measurement result obtained based on prediction in the plurality of second measurement results and / or a proportion of the second measurement result obtained based on measurement in the plurality of second measurement results; The first measurement result is determined based on a plurality of second measurement results obtained based on a sample pattern, wherein the sample pattern includes at least one second measurement result obtained based on prediction and / or at least one second measurement result obtained based on measurement.

16. The method according to any one of claims 11 to 15, wherein: The method further comprises: A first parameter associated with the method for obtaining the first measurement result is sent; the first parameter is used to determine each filtering parameter corresponding to the method for obtaining the first measurement result.

17. A terminal comprising: The processing module is configured to determine a first filtering parameter, where the first filtering parameter is associated with a first acquisition method of the first measurement result, and the first filtering parameter is used to filter the first measurement result.

18. A network device comprising: The transceiver module is configured to send first information, wherein the first information is used to indicate multiple filtering parameters.

19. A terminal comprising: at least one processor; a memory storing instructions; When the instruction is executed by the terminal, the terminal implements the communication method according to any one of claims 1 to 9.

20. A network device comprising: at least one processor; a memory storing instructions; When the instruction is executed by the network device, the network device implements the communication method according to any one of claims 10 to 16.

21. A communication system comprising: A terminal, configured to implement the communication method according to any one of claims 1 to 9; A network device configured to implement the communication method according to any one of claims 10 to 16.

22. A storage medium storing instructions, wherein: When the instruction is executed on a communication device, the communication device is caused to execute the communication method according to any one of claims 1 to 16.

23. A computer program product comprising a computer program, wherein when the computer program is run on a communication device, the communication device is caused to execute the communication method according to any one of claims 1 to 16.

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