Communication method, terminal, network device, communication system, and storage medium

Abstract

Embodiments of the present disclosure relate to a communication method, a terminal, a network device, a communication system, and a storage medium. The method can be executed by a terminal. The method comprises: determining a second measurement result on the basis of first information, the first information being used for indicating that a plurality of first measurement results are obtained on the basis of prediction and / or measurement, and the second measurement result being determined on the basis of the plurality of first measurement results. In the present disclosure, a valid measurement result is obtained by combining an actual measurement result and a predicted measurement result, so that the measurement efficiency can be improved, and the measurement accuracy can be effectively ensured.

Description

Communication method, terminal, network device, communication system and storage medium Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular to a communication method, a terminal, a network device, a communication system, and a storage medium. Background Art

[0002] To meet the needs of radio resource management (RRM), the network configures the terminal to measure radio resources. This measurement is called RRM measurement. Based on the measurement results reported by the terminal, the network can determine the target cell for handover or the optimal beam to access, thereby triggering the terminal to perform handover.

[0003] Summary of the Invention

[0004] During the RRM measurement process, the terminal can obtain a valid measurement result based on multiple measurement results, which leads to a long measurement cycle and low measurement efficiency, thereby affecting terminal handover.

[0005] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system, and a storage medium.

[0006] According to a first aspect of an embodiment of the present disclosure, a communication method is proposed, which is performed by a terminal. The method includes: determining a second measurement result based on first information, where the first information is used to indicate multiple first measurement results obtained based on prediction and / or measurement; and the second measurement result is determined based on the multiple first measurement results.

[0007] According to a second aspect of an embodiment of the present disclosure, a communication method is proposed, which is executed by a network device. The method includes: sending first information, where the first information is used to indicate multiple first measurement results obtained based on prediction and / or measurement.

[0008] According to a third aspect of an embodiment of the present disclosure, a terminal is proposed, including: a first transceiver module, configured to determine a second measurement result based on first information; the first information is used to indicate that the first measurement result is obtained based on prediction and / or measurement; and the second measurement result is determined based on a majority of the first measurement results.

[0009] According to a fourth aspect of an embodiment of the present disclosure, a network device is proposed, including: a second transceiver module, configured to send first information, where the first information is used to indicate multiple first measurement results obtained based on prediction and / or measurement.

[0010] According to a fifth aspect of an embodiment of the present disclosure, a terminal is proposed, comprising: one or more processors; wherein the terminal is configured to execute the communication method of the first aspect.

[0011] According to a sixth aspect of an embodiment of the present disclosure, a network device is proposed, comprising: one or more processors; wherein the network device is used to execute the communication method as in the second aspect.

[0012] According to a seventh aspect of an embodiment of the present disclosure, a communication system is proposed, comprising a network device and a terminal, wherein the terminal is configured to implement the communication method of the first aspect, and the network device is configured to implement the communication method of 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 network device or terminal, the network device or terminal executes a communication method as described in any one of the first and second aspects.

[0014] According to a ninth aspect of the embodiments of the present disclosure, a computer program product is proposed, comprising a computer program, which implements the communication method described in any one of the first and second aspects when executed by a processor.

[0015] According to a tenth aspect of an embodiment of the present disclosure, a computer program is proposed, which includes codes, and when the codes are executed by a processor, they implement the communication method described in any one of the first and second aspects.

[0016] According to an eleventh aspect 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 as described in any one of the first and second aspects.

[0017] In the embodiment of the present disclosure, a valid measurement result is obtained by combining the actual measurement result with the predicted measurement result, which can not only improve the measurement efficiency but also effectively ensure the measurement accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] 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.

[0019] FIG1 is a schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure.

[0020] FIG2A is an interactive schematic diagram illustrating a communication method according to an embodiment of the present disclosure.

[0021] FIG2B is another interactive schematic diagram of a communication method according to an embodiment of the present disclosure.

[0022] FIG2C is a schematic diagram illustrating a method for obtaining measurement samples and prediction samples according to an embodiment of the present disclosure.

[0023] FIG3A is a schematic diagram of a first flow chart of a communication method executed on a terminal side according to an embodiment of the present disclosure.

[0024] FIG3B is a schematic diagram of a second flow chart of a communication method executed by a terminal side according to an embodiment of the present disclosure.

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

[0026] FIG3D is a fourth flow chart of a method for executing communication on a terminal side according to an embodiment of the present disclosure.

[0027] FIG3E is a fifth flow chart of a communication method executed on a terminal side according to an embodiment of the present disclosure.

[0028] FIG3F is a sixth flow chart of a communication method executed on a terminal side according to an embodiment of the present disclosure.

[0029] FIG4A is a seventh flow chart illustrating a communication method executed on a terminal side according to an embodiment of the present disclosure.

[0030] FIG4B is a flow chart showing a communication method executed on a network device side according to an embodiment of the present disclosure.

[0031] FIG5A is a schematic structural diagram of a terminal according to an embodiment of the present disclosure.

[0032] FIG5B is a schematic structural diagram of a network device according to an embodiment of the present disclosure.

[0033] FIG6 is a schematic structural diagram of a communication device according to an embodiment of the present disclosure.

[0034] FIG7 is a schematic structural diagram of a chip proposed according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0035] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system, and a storage medium.

[0036] In a first aspect, an embodiment of the present disclosure proposes a communication method, which is executed by a terminal, and the method includes: determining a second measurement result based on first information, where the first information is used to indicate multiple first measurement results obtained based on prediction and / or measurement; and the second measurement result is determined based on the multiple first measurement results.

[0037] In the embodiment of the present disclosure, a valid measurement result is obtained by combining the actual measurement result with the predicted measurement result, which can not only improve the measurement efficiency but also effectively ensure the measurement accuracy.

[0038] In combination with some embodiments of the first aspect, in some embodiments, the first information includes at least one of the following: a first proportion, where the first proportion is the proportion of the first measurement result obtained based on measurement in the multiple first measurement results; a second proportion, where the first proportion is the proportion of the first measurement result obtained based on prediction in the multiple first measurement results; and a first pattern, where the first pattern is used to indicate at least one first measurement result among the multiple first measurement results, where the at least one first measurement result is obtained based on prediction and / or based on measurement.

[0039] In combination with some embodiments of the first aspect, in some embodiments, the first information is obtained based on the first capability of the terminal, and the first capability includes at least one of the following: the terminal's support capability for determining the second measurement result based on the multiple first measurement results; the terminal's support capability for obtaining the first measurement result based on prediction; the terminal's support capability for the first proportion; the terminal's support capability for the second proportion; the terminal's support capability for the first pattern.

[0040] In combination with some embodiments of the first aspect, in some embodiments, the multiple first measurement results are obtained based on prediction and measurement.

[0041] In combination with some embodiments of the first aspect, in some embodiments, different values ​​of the first information are associated with different prediction models, and the method also includes: determining a first prediction model associated with the first information from multiple prediction models, and the first prediction model is used to obtain a first measurement result based on the prediction.

[0042] In combination with some embodiments of the first aspect, in some embodiments, the first information is configured according to at least one of the following: terminal; frequency to be measured; frequency range.

[0043] In combination with some embodiments of the first aspect, in some embodiments, the method also includes one of the following: receiving first configuration information, which includes the first information; obtaining pre-configured first information; and obtaining the first information according to the terminal implementation of the terminal.

[0044] In combination with some embodiments of the first aspect, in some embodiments, the first configuration information is one of the following: measurement configuration; measurement object configuration; reporting configuration.

[0045] With reference to some embodiments of the first aspect, in some embodiments, determining a second measurement result based on the first information includes:

[0046] determining a plurality of first measurement results based on the first information;

[0047] Based on the plurality of first measurement results, the second measurement result is determined.

[0048] In combination with some embodiments of the first aspect, in some embodiments, determining multiple first measurement results based on the first information includes: determining a second measurement cycle and / or measurement opportunity based on the first information; and determining the multiple first measurement results according to the second measurement cycle and / or the measurement opportunity.

[0049] In combination with some embodiments of the first aspect, in some embodiments, the first information includes a first proportion, which is the proportion of the first measurement result obtained based on the measurement in the multiple first measurement results; wherein, determining the second measurement period based on the first information includes: multiplying the first measurement period by the first proportion to obtain the second measurement period.

[0050] In combination with some embodiments of the first aspect, in some embodiments, the second measurement period includes the sum of durations corresponding to the first measurement results obtained based on the measurement in the multiple first measurement results.

[0051] In combination with some embodiments of the first aspect, in some embodiments, determining the multiple first measurement results based on the second measurement period includes: performing one or more measurements within the second measurement period to obtain one or more first measurement results based on the measurement; using the one or more first measurement results based on the measurement as input to a first prediction model, and obtaining one or more first measurement results based on the prediction through the first prediction model; and associating the first prediction model with the first information.

[0052] In combination with some embodiments of the first aspect, in some embodiments, multiple measurements are performed within the second measurement period, and the moment corresponding to the at least one first measurement result obtained based on the prediction is determined according to the time interval between each measurement.

[0053] In combination with some embodiments of the first aspect, in some embodiments, determining a measurement opportunity based on the first information includes: determining a measurement opportunity for performing measurement in a first measurement cycle based on the first measurement result obtained based on the prediction and / or the first measurement result obtained based on the measurement.

[0054] In combination with some embodiments of the first aspect, in some embodiments, the second measurement result is determined based on at least one of the following: the average value of the multiple first measurement results; the average value of the first measurement results obtained based on prediction; the average value of the first measurement results obtained based on measurement; a first proportion, the first proportion is the proportion of the first measurement result obtained based on measurement in the multiple first measurement results; a second proportion, the first proportion is the proportion of the first measurement result obtained based on prediction in the multiple first measurement results; a first parameter, the first parameter is used to adjust the weights of the first measurement result obtained based on measurement and the first measurement result obtained based on prediction in the multiple first measurement results.

[0055] In combination with some embodiments of the first aspect, in some embodiments, the first parameter is network configured, or pre-configured, or determined based on a terminal implementation of the terminal.

[0056] In a second aspect, an embodiment of the present disclosure proposes a communication method, which is executed by a network device. The method includes: sending first information, where the first information is used to indicate multiple first measurement results obtained based on prediction and / or measurement.

[0057] In combination with some embodiments of the second aspect, in some embodiments, the first information includes at least one of the following: a first proportion, where the first proportion is the proportion of the first measurement result obtained based on measurement in the multiple first measurement results; a second proportion, where the first proportion is the proportion of the first measurement result obtained based on prediction in the multiple first measurement results; a first pattern, where the first pattern is used to indicate at least one first measurement result among the multiple first measurement results, where the at least one first measurement result is obtained based on prediction and / or based on measurement.

[0058] In combination with some embodiments of the second aspect, in some embodiments, the first information is configured based on the first capability of the terminal, and the first capability includes at least one of the following: the terminal's support capability for determining the second measurement result based on the multiple first measurement results; the terminal's support capability for obtaining the first measurement result based on prediction; the terminal's support capability for the first proportion; the terminal's support capability for the second proportion; the terminal's support capability for the first pattern.

[0059] In combination with some embodiments of the second aspect, in some embodiments, the multiple first measurement results are obtained based on prediction and measurement.

[0060] In combination with some embodiments of the second aspect, in some embodiments, the first information is configured according to at least one of the following: terminal; frequency to be measured; frequency range.

[0061] In combination with some embodiments of the second aspect, in some embodiments, the first information is carried in first configuration information, and the first configuration information is one of the following: measurement configuration; measurement object configuration; reporting configuration.

[0062] In a third aspect, an embodiment of the present disclosure proposes a terminal, comprising: a first transceiver module configured to determine a second measurement result based on first information, wherein the first information is used to indicate multiple first measurement results obtained based on prediction and / or measurement; the second measurement result is determined based on the multiple first measurement results.

[0063] In combination with some embodiments of the third aspect, in some embodiments, the first information includes at least one of the following: a first proportion, where the first proportion is the proportion of the first measurement result obtained based on measurement in the multiple first measurement results; a second proportion, where the first proportion is the proportion of the first measurement result obtained based on prediction in the multiple first measurement results; a first pattern, where the first pattern is used to indicate at least one first measurement result among the multiple first measurement results, where the at least one first measurement result is obtained based on prediction and / or based on measurement.

[0064] In combination with some embodiments of the third aspect, in some embodiments, the first information is obtained based on the first capability of the terminal, and the first capability includes at least one of the following: the terminal's support capability for determining the second measurement result based on the multiple first measurement results; the terminal's support capability for obtaining the first measurement result based on prediction; the terminal's support capability for the first proportion; the terminal's support capability for the second proportion; the terminal's support capability for the first pattern.

[0065] In combination with some embodiments of the third aspect, in some embodiments, the multiple first measurement results are obtained based on prediction and measurement.

[0066] In combination with some embodiments of the third aspect, in some embodiments, different values ​​of the first information are associated with different prediction models, and the first transceiver module is configured to determine a first prediction model associated with the first information from multiple prediction models, and the first prediction model is used to obtain a first measurement result based on the prediction.

[0067] In combination with some embodiments of the third aspect, in some embodiments, the first information is configured according to at least one of the following: terminal; frequency to be measured; frequency range.

[0068] In combination with some embodiments of the third aspect, in some embodiments, the first transceiver module is configured to do one of the following: receive first configuration information, which contains the first information; obtain pre-configured first information; and obtain the first information according to the terminal implementation of the terminal.

[0069] In combination with some embodiments of the third aspect, in some embodiments, the first configuration information is one of the following: measurement configuration; measurement object configuration; reporting configuration.

[0070] In combination with some embodiments of the third aspect, in some embodiments, the first transceiver module is configured to determine multiple first measurement results based on the first information; and determine the second measurement result based on the multiple first measurement results.

[0071] In combination with some embodiments of the third aspect, in some embodiments, the first transceiver module is configured to determine a second measurement cycle and / or measurement opportunity based on the first information; and determine the multiple first measurement results based on the second measurement cycle and / or the measurement opportunity.

[0072] In combination with some embodiments of the third aspect, in some embodiments, the first information includes a first proportion, which is the proportion of the first measurement result obtained based on the measurement in the multiple first measurement results; the first transceiver module is configured to multiply the first measurement period by the first proportion to obtain the second measurement period.

[0073] In combination with some embodiments of the third aspect, in some embodiments, the second measurement period includes the sum of the durations corresponding to the first measurement results obtained based on the measurement in the multiple first measurement results.

[0074] In combination with some embodiments of the third aspect, in some embodiments, the first transceiver module is configured to perform one or more measurements within the second measurement period to obtain one or more first measurement results based on the measurement; use the one or more first measurement results based on the measurement as input to the first prediction model, and obtain one or more first measurement results based on the prediction through the first prediction model; the first prediction model is associated with the first information.

[0075] In combination with some embodiments of the third aspect, in some embodiments, the first transceiver module is configured to perform multiple measurements within the second measurement period, and the moment corresponding to the at least one first measurement result obtained based on the prediction is determined according to the time interval of each measurement.

[0076] In combination with some embodiments of the third aspect, in some embodiments, the first transceiver module is configured to determine a measurement opportunity for performing measurement in the first measurement cycle based on the first measurement result obtained based on the prediction and / or the first measurement result obtained based on the measurement.

[0077] In combination with some embodiments of the third aspect, in some embodiments, the second measurement result is determined based on at least one of the following: the average value of the multiple first measurement results; the average value of the first measurement results obtained based on prediction; the average value of the first measurement results obtained based on measurement; a first proportion, the first proportion is the proportion of the first measurement result obtained based on measurement in the multiple first measurement results; a second proportion, the first proportion is the proportion of the first measurement result obtained based on prediction in the multiple first measurement results; a first parameter, the first parameter is used to adjust the weights of the first measurement result obtained based on measurement and the first measurement result obtained based on prediction in the multiple first measurement results.

[0078] In combination with some embodiments of the third aspect, in some embodiments, the first parameter is network configured, or pre-configured, or determined based on a terminal implementation of the terminal.

[0079] In a fourth aspect, an embodiment of the present disclosure proposes a network device, including: a second transceiver module is configured to send first information, where the first information is used to indicate multiple first measurement results obtained based on prediction and / or measurement.

[0080] In combination with some embodiments of the fourth aspect, in some embodiments, the first information includes at least one of the following: a first proportion, where the first proportion is the proportion of the first measurement result obtained based on measurement in the multiple first measurement results; a second proportion, where the first proportion is the proportion of the first measurement result obtained based on prediction in the multiple first measurement results; a first pattern, where the first pattern is used to indicate at least one first measurement result among the multiple first measurement results, where the at least one first measurement result is obtained based on prediction and / or based on measurement.

[0081] In combination with some embodiments of the fourth aspect, in some embodiments, the first information is configured based on the first capability of the terminal, and the first capability includes at least one of the following: the terminal's support capability for determining the second measurement result based on the multiple first measurement results; the terminal's support capability for obtaining the first measurement result based on prediction; the terminal's support capability for the first proportion; the terminal's support capability for the second proportion; the terminal's support capability for the first pattern.

[0082] In combination with some embodiments of the fourth aspect, in some embodiments, the multiple first measurement results are obtained based on prediction and measurement.

[0083] In combination with some embodiments of the fourth aspect, in some embodiments, the first information is configured according to at least one of the following: terminal; frequency to be measured; frequency range.

[0084] In combination with some embodiments of the fourth aspect, in some embodiments, the first information is carried in first configuration information, and the first configuration information is one of the following: measurement configuration; measurement object configuration; reporting configuration.

[0085] In a fifth aspect, an embodiment of the present disclosure proposes a terminal, comprising: one or more processors; wherein the terminal is used to execute the communication method of the first aspect.

[0086] In a sixth aspect, an embodiment of the present disclosure proposes a network device, comprising: one or more processors; wherein the network device is used to execute the communication method of the second aspect.

[0087] In the seventh aspect, an embodiment of the present disclosure proposes a communication system, comprising: a terminal and a network device; wherein the terminal is configured to execute the method described in the optional implementation manner of the first aspect, and the network device is configured to execute the method described in the optional implementation manner of the second aspect.

[0088] In an eighth aspect, an embodiment of the present disclosure proposes a storage medium, wherein the storage medium stores instructions. When the instructions are executed on a terminal or a network device, the terminal or the network device executes the method described in the optional implementation of the first and second aspects.

[0089] In a ninth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a terminal or a network device, the terminal or the network device executes the method described in the optional implementation of the first and second aspects.

[0090] In a tenth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first and second aspects.

[0091] In an eleventh aspect, an embodiment of the present disclosure provides a chip or a chip system, wherein the chip or chip system includes a processing circuit configured to execute the method described in the optional implementation of the first and second aspects above.

[0092] It is understandable that the above-mentioned network devices, terminals, communication systems, storage media, 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.

[0093] The present disclosure provides a communication method, terminal, network device, communication system, and storage medium. In some embodiments, the terms "communication method" and "information processing method," "information configuration method," "parameter configuration method," "measurement method," and "measurement result acquisition method" are interchangeable, and the terms "information processing system," "communication system," and "measurement system" are interchangeable.

[0094] 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.

[0095] 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.

[0096] 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.

[0097] 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.

[0098] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0099] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0100] 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.

[0101] 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.

[0102] 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.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] 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.

[0107] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0108] 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", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)" and the like may be used interchangeably.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0113] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0114] 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.

[0115] FIG1 is a schematic diagram of an architecture of a communication system according to an embodiment of the present disclosure.

[0116] As shown in Fig. 1, a communication system 100 includes a terminal 101 and a network device 102. The network device 102 may also be referred to as a network device.

[0117] 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.

[0118] 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 (OpenRAN), 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.

[0119] 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.

[0120] In some embodiments, the CU and DU may be centrally deployed on one network device or distributed across multiple network devices.

[0121] 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.

[0122] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between network devices or within network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0123] 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, 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.

[0124] In some embodiments, the CU and DU may be centrally deployed on one network device or distributed across multiple network devices.

[0125] 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.

[0126] 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 provided by 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 provided by the embodiment of the present disclosure is also applicable to similar technical problems.

[0127] The following embodiments of the present disclosure may be applied to the communication system 100 shown in Figure 1, or a portion thereof, but are not limited thereto. The entities shown in Figure 1 are illustrative only. The communication system may include all or part of the entities shown in Figure 1, or may include other entities outside of Figure 1. The number and form of the entities may be arbitrary. The connection relationship between the entities is illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0128] The embodiments of the present disclosure can 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), 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 utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0129] The following describes and explains the terms involved in this disclosure.

[0130] 1. Introduction to RRM measurement:

[0131] The measurement quantities in RRM measurement may include: reference signal receiving power (RSRP) of the synchronization signal block, reference signal receiving quality (RSRQ), signal to interference plus noise ratio (SINR), reference signal strength indicator (RSSI), etc.

[0132] The measurement quantity may also include RSRP, RSRQ, SINR, or RSSI of a channel state information-reference signal (CSI-RS), or RSRP, RSRQ, SINR, or RSSI of other reference signals.

[0133] The measurement quantity may also include: channel status information (CSI), channel quality indicator (CQI), precoding matrix indicator (PMI), precoding type indicator (PTI), diversity indication (RI), CSI-RS resource index (CSI-RS index, CRI), etc.

[0134] The synchronization signal block may also be referred to as a synchronization signal / physical broadcast channel block (SS / PBCH) block. A synchronization signal block may include at least one of the following: PBCH, primary synchronization signal (PSS), or secondary synchronization signal (SSS). A synchronization signal block may also be referred to as an SSB, SS / PBCH block, or SS block.

[0135] 2. Introduction to the measurement cycle of RRM measurement:

[0136] When in the RRC connected state (RRC_CONNECTED), the terminal needs to perform intra-frequency or inter-frequency cell measurements to monitor the network coverage in the current environment. The protocol specifies the measurement period for intra-frequency measurement and inter-frequency measurement respectively. Table 1 shows the measurement period for gapless intra-frequency measurement in FR1, Table 2 shows the measurement period for gapless intra-frequency measurement in FR2, Table 3 shows the measurement period for gap-free inter-frequency measurement in FR1, and Table 4 shows the measurement period for gap-free inter-frequency measurement in FR2.

[0137] Table 1: Measurement period for gapless frequency measurement (frequency FR1)

[0138] Table 2: Measurement period for gapless frequency measurement (frequency FR2)

[0139] Among them, DRX cycle (Discontinuous Reception cycle) is the discontinuous reception cycle, TSSB_measurement_period_intra is the time period for the terminal to measure the same frequency cell, SMTC (SSB measurement timing configurations) period is the period based on SSB measurement timing configuration, MGRP (Measurement Gap Repetition Period) is the period of the measurement gap, CSSF intra (Carrier Specific Scaling Factor) Carrier specific scaling factor of the same frequency, K p is the scaling factor in the absence of a measurement gap. meas_period_w / o_gaps is a constant determined according to the power type, K layer1_measurement Indicates the scale factor for layer 1 measurements.

[0140] Table 3: Measurement period for inter-frequency measurement with gap (frequency FR1)

[0141] Table 4: Measurement period for inter-frequency measurement with gap (frequency FR2)

[0142] Among them, DRX cycle (Discontinuous Reception cycle) is the discontinuous reception cycle, TSSB_measurement_period_inter is the time period for the terminal to measure the inter-frequency cell, SMTC (SSB measurement timing configurations) period is the period based on the SSB measurement timing configuration, MGRP (Measurement Gap Repetition Period) is the period of the measurement gap, CSSF inter (Carrier Specific Scaling Factor) carrier-specific scaling factor of different frequencies, K gap is the scaling factor determined based on the measurement gap. meas_period_inter is a constant determined according to the power type.

[0143] During the RRM measurement process, a terminal must rely on multiple measurements to obtain a valid result, resulting in long measurement cycles and low measurement efficiency, which in turn affects terminal handovers. Furthermore, handovers performed by the terminal based on valid measurement results are based on historically reported measurement results, making this an essentially responsive solution. High terminal mobility can lead to issues such as increased handover failures, radio link failures, and ping-pong handovers.

[0144] To address the above technical issues, the present disclosure provides a communication method, terminal, network device, communication system, and storage medium. These methods predict measurement results and replace actual measurement results with predicted ones, effectively reducing the measurement cycle. Furthermore, replacing actual measurements with predictions also allows for free measurement opportunities to be used for measuring other frequencies. By combining actual and predicted measurement results to produce a valid measurement result, measurement efficiency is improved while ensuring measurement accuracy.

[0145] In some embodiments, the terminal may obtain multiple first measurement results based on at least one of the first ratio, the second ratio, and the first pattern, and then obtain the second measurement result.

[0146] In some embodiments, the second measurement result is the final measurement result sent by the terminal to the network device. In some embodiments, the second measurement result may also be referred to as a valid measurement result.

[0147] In some embodiments, the first proportion is a proportion of the first measurement result obtained based on the measurement in the plurality of first measurement results.

[0148] In some embodiments, the first measurement result obtained based on the measurement can be described as a measurement sample, and the first proportion is the proportion of the measurement sample in the plurality of first measurement results.

[0149] In some embodiments, the second proportion is the proportion of the first measurement result obtained based on the prediction in the plurality of first measurement results.

[0150] In some embodiments, the first measurement result obtained based on the prediction can be described as a prediction sample, and the second proportion is the proportion of the prediction sample in the multiple first measurement results.

[0151] In some embodiments, all first measurement results may include only predicted samples and measured samples. In this case, the first proportion and the second proportion are mutually correlated. It can be understood that the second proportion can be obtained based on the first proportion, and the first proportion can also be obtained based on the second proportion.

[0152] In one example, the sum of the first proportion and the second proportion is 1. First proportion = 1 - second proportion, second proportion = 1 - first proportion.

[0153] In some embodiments, the first percentage can be any value between a first value and a second value, wherein the first value is 0 or 0%, and the second value is 1 or 100%.

[0154] In one example, a first numerical value of the first ratio indicates that the plurality of first measurement results do not contain the measurement sample, or indicates that the terminal does not perform measurement. In this case, it can be understood that the terminal determines the second measurement result based on the plurality of predicted samples, or determines the second measurement result based on the plurality of predicted samples and a plurality of other samples obtained by other means.

[0155] In one example, if the first proportion is not the second value, it means that the multiple first measurement results include one or more measurement samples, or it means that the terminal performs one or more measurements. In this case, it can be understood that the terminal determines the second measurement result based on multiple measurement samples.

[0156] In some embodiments, the plurality of first measurement results may include predicted samples, measured samples, and samples obtained based on other methods. In this case, the first proportion is not associated with the second proportion.

[0157] FIG2A is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG2A , the present disclosure embodiment relates to a communication method. Executed by a communication system 100, the communication method includes steps S2101 to S2104.

[0158] In this embodiment, the process of determining the second measurement result based on the first ratio is described by taking the first ratio as an example.

[0159] In some embodiments, the first ratio in the following steps S2101 to S2104 can also be replaced by the second ratio. In this case, it can be understood that the second measurement result can also be determined based on the second ratio. The following embodiments involving the first ratio can also be applied to the second ratio.

[0160] In step S2101, the network device sends a first ratio.

[0161] In some embodiments, the terminal receives a first ratio.

[0162] In some embodiments, the first proportion can be expressed as a percentage. In one example, the first proportion is 60%, indicating that the proportion of the measurement sample in the multiple first measurement results is 60%. The first proportion can also be expressed as a decimal. In one example, the first proportion is 0.2, indicating that the proportion of the measurement sample in all the first measurement results is 0.2.

[0163] In some embodiments, the first ratio is carried in first configuration information, and the first configuration information may be one of the following: measurement configuration, measurement object configuration, and reporting configuration.

[0164] In one example, the measurement configuration includes the first ratio, and the measurement configuration can be measurement configuration or measConfig. In one example, the measurement object configuration includes the first ratio, and the measurement object configuration can be measurement object configuration or measobjectConfig. In one example, the reporting configuration includes the first ratio, and the reporting configuration can be report configuration or reportConfig.

[0165] In some embodiments, the first ratio is configured according to at least one of the following: terminal, frequency to be measured, and frequency range. It can be understood that different terminals correspond to different first ratios, different frequencies to be measured correspond to different first ratios, and different frequency ranges correspond to different first ratios.

[0166] In one example, the first proportion is represented by X, and the first proportion corresponding to terminal A is X A , for example X A =60%, the first proportion corresponding to terminal B is X B , for example X B =10%. In one example, the first proportion corresponding to the measured frequency f1 is X f1 , for example X f1 =5%, the first proportion corresponding to the measured frequency f2 is X f2 , for example X f2=0%. In one example, the first proportion corresponding to the frequency range FR1 is X FR1 , for example X FR1 =99%, the first proportion corresponding to the frequency range FR2 is X FR2 , for example X FR2 =50%.

[0167] In some embodiments, the first proportion may be determined based on a first capability of the terminal.

[0168] In some embodiments, before step S2101, the terminal may send the first capability of the terminal to the network device, and the network device sends the first proportion based on the first capability of the terminal.

[0169] In some embodiments, the first capability of the terminal may include at least one of the following: the terminal's support capability for determining a second measurement result based on a predicted sample and a measured sample (hereinafter referred to as capability one), the terminal's support capability for the first ratio (hereinafter referred to as capability two), and the terminal's support capability for obtaining the first measurement result based on prediction (hereinafter referred to as capability three). It is understandable that the network device may send the first ratio based on at least one of capability one, capability two, and capability three.

[0170] In some embodiments, capability 1 can be understood as: whether the terminal supports determining the second measurement result based on the predicted sample and the measured sample. Then, capability 1 can indicate support for determining the second measurement result based on the predicted sample and the measured sample, or can indicate not supporting determining the second measurement result based on the predicted sample and the measured sample.

[0171] In some embodiments, when capability 1 indicates that the terminal supports determining the second measurement result based on the predicted sample and the measured sample, the first percentage sent by the network device can be any value between the first value (inclusive) and the second value (inclusive). In one example, the first value is 0 or 0%, and the second value is 1 or 100%.

[0172] In some embodiments, when capability 1 indicates that the terminal does not support determining the second measurement result based on the predicted sample and the measured sample, the first percentage sent by the network device is the first value or the second value. In one example, the first value is 0 or 0%, and the second value is 1 or 100%.

[0173] In some embodiments, capability 2 can be understood as: the value of the first percentage supported by the terminal, and / or the expression form of the first percentage supported by the terminal. Capability 2 can indicate one or more values ​​of the first percentage supported by the terminal, or it can indicate that the terminal supports the first percentage expressed as a percentage and / or a decimal.

[0174] In some embodiments, if capability 2 indicates that the terminal supports only one first ratio, the network device sends the first ratio supported by the terminal to the terminal. If capability 2 indicates that the terminal supports multiple first ratios, the network device may select one or more from the multiple first ratios supported by the terminal to send. The network device may also send multiple first ratios, and the terminal selects one from the multiple first ratios based on its own capability 2, thereby obtaining a second measurement result.

[0175] In some embodiments, capability three can be understood as whether the terminal supports obtaining the first measurement result based on prediction. Capability three can indicate that the terminal supports obtaining the first measurement result based on prediction. In this case, the first percentage can be any value. Capability three can also indicate that the terminal does not support obtaining the first measurement result based on prediction. In this case, the first percentage is 1 or 100%, that is, only measurement is performed, not prediction.

[0176] In some embodiments, step S2101 may be omitted, and in this case, the first percentage may be obtained by the terminal itself. It can be understood that the terminal may obtain the first percentage without interacting with the network device.

[0177] In some embodiments, the terminal may obtain the first proportion based on a protocol agreement.

[0178] In some embodiments, the terminal may also obtain the first ratio based on the terminal's support capability for the first ratio. If the terminal supports only one first ratio, the terminal determines the second measurement result based on the supported first ratio. If the terminal supports multiple first ratios, the terminal may select one of the multiple first ratios to determine the second measurement result.

[0179] In some embodiments, the terminal may also obtain the first proportion based on terminal implementation.

[0180] In some embodiments, the terminal may also obtain the first proportion based on the configuration of the network device at a historical moment.

[0181] In some embodiments, the network device may further send a second ratio.

[0182] In some embodiments, the second ratio is carried in the first configuration information, and the first configuration information may be one of the following: measurement configuration, measurement object configuration, and reporting configuration.

[0183] In some embodiments, the second proportion is based on at least one of the following: a terminal, a frequency to be measured, and a frequency range.

[0184] In some embodiments, the second proportion may be determined based on the first capability of the terminal.

[0185] In some embodiments, before the network device sends the second percentage, the terminal may send the first capability of the terminal to the network device, and the network device sends the second percentage based on the first capability of the terminal.

[0186] In some embodiments, the step of the network device sending the second ratio can be omitted, and the second ratio can be obtained by the terminal itself. It can be understood that the terminal can obtain the first ratio without interacting with the network device.

[0187] In step S2102, the terminal determines a second measurement cycle and / or measurement opportunity based on the first ratio.

[0188] In some embodiments, the terminal determines the second measurement period based on the first ratio. In this case, the measurement opportunity can be determined based on the provisions of an existing protocol, based on network configuration, based on terminal implementation, or predefined.

[0189] In some embodiments, the terminal may obtain a second measurement period by multiplying the first measurement period by the first ratio. The second measurement period includes the sum of durations corresponding to the first measurement results obtained based on the measurements in the plurality of first measurement results.

[0190] In one embodiment, the first measurement period may be determined based on a provision of an existing protocol, may be configured by a network, may be determined based on a terminal implementation of a terminal, or may be predefined.

[0191] In some embodiments, when the first ratio is greater than 0 (which may also be described as the first ratio is not equal to 0), the second measurement period is calculated based on the calculation methods shown in Tables 5 to 8 in the following examples.

[0192] In one example, X represents the first proportion, and the calculation method of the second measurement period (frequency FR1) measured within the gapless frequency is shown in the following table:

[0193] Table 5: Second measurement cycle of gapless frequency measurement (frequency FR1)

[0194] In one example, X represents the first ratio, and the calculation method of the second measurement period (frequency FR2) measured within the gapless frequency is shown in the following table:

[0195] Table 6: Second measurement cycle of gapless intra-frequency measurement (frequency FR2)

[0196] In one example, X represents the first proportion, and the second measurement period (frequency FR1) of the gap frequency measurement is calculated as shown in the following table:

[0197] Table 7: Second measurement cycle of inter-frequency measurement with gap (frequency FR1)

[0198] In one example, X represents the first proportion, and the second measurement period (frequency FR2) of the gap frequency measurement is calculated as shown in the following table:

[0199] Table 8: Second measurement cycle (frequency FR2) for inter-frequency measurement with gaps

[0200] In some embodiments, when the first ratio is equal to 0, the second measurement period is calculated based on the calculation methods shown in Tables 9 to 12 in the following examples.

[0201] In one example, X represents the first proportion, and the calculation method of the second measurement period (frequency FR1) measured within the gapless frequency is shown in the following table:

[0202] Table 9: Second measurement cycle of gapless frequency measurement (frequency FR1)

[0203] In one example, X represents the first ratio, and the calculation method of the second measurement period (frequency FR2) measured within the gapless frequency is shown in the following table:

[0204] Table 10: Second measurement cycle for gapless frequency measurement (frequency FR2)

[0205] In one example, X represents the first proportion, and the second measurement period (frequency FR1) of the gap frequency measurement is calculated as shown in the following table:

[0206] Table 11: Second measurement cycle of inter-frequency measurement with gap (frequency FR1)

[0207] In one example, X represents the first proportion, and the second measurement period (frequency FR2) of the gap frequency measurement is calculated as shown in the following table:

[0208] Table 12: Second measurement cycle (frequency FR2) for inter-frequency measurement with gaps

[0209] In some embodiments, the terminal determines the measurement opportunity based on the first ratio. In this case, the second measurement period may be the first measurement period.

[0210] In some embodiments, the terminal determines the number of times to perform measurements based on the first ratio; and determines a measurement opportunity within a first measurement period based on the number of times measurements are performed. In some embodiments, the first measurement period can be determined based on provisions of an existing protocol, can be configured by the network, can be determined based on terminal implementation, or can be predefined.

[0211] In some embodiments, the terminal determines the second measurement period and the measurement opportunity based on the first ratio. The method for determining the second measurement period and the method for determining the measurement opportunity can refer to the above embodiments and will not be described in detail here.

[0212] In some embodiments, the terminal may further determine a second measurement period and / or measurement opportunity based on the second ratio.

[0213] In step S2103, the terminal determines a plurality of first measurement results based on the second measurement cycle and / or measurement opportunity.

[0214] In some embodiments, the terminal performs measurement according to measurement opportunities in the second measurement period to obtain measurement samples.

[0215] In some embodiments, the terminal may further determine a second ratio based on the first ratio, and perform prediction based on the second ratio to obtain predicted samples, thereby determining a plurality of first measurement results including measurement samples and predicted samples.

[0216] In some embodiments, the predicted sample may be predicted based on a first prediction model.

[0217] In some embodiments, the first prediction model may be an AI model, an ML model, or other models.

[0218] In some embodiments, when a terminal obtains a second measurement result for a first cell or a first frequency, the terminal may obtain one or more first measurement samples, where the first measurement samples are obtained by the terminal performing one or more measurements on the first cell or the first frequency. The terminal inputs the one or more first measurement samples into a first prediction model to obtain first prediction samples. Based on the first measurement samples and / or the first prediction samples, the terminal obtains the second measurement result for the first cell or the first frequency.

[0219] In some embodiments, when the terminal obtains a second measurement result for the first cell or the first frequency, the terminal may obtain a second measurement sample, where the second measurement sample is obtained by the terminal performing one or more measurements on the second cell or the second frequency. The terminal may input one or more second measurement samples into the first prediction model to obtain a second prediction sample. Based on the first measurement sample and / or the second prediction sample, the second measurement result for the first cell or the first frequency is obtained. That is, the prediction sample can be obtained based on the measurement sample associated with the target cell to be measured (e.g., the first cell) or the target frequency (e.g., the first frequency), or based on the measurement sample associated with other cells (e.g., the second cell) or other frequencies (e.g., the second frequency).

[0220] In some embodiments, the first proportion is associated with the first prediction model, and different values ​​of the first proportion correspond to different prediction models; the second proportion is associated with the first prediction model, and different values ​​of the second proportion correspond to different prediction models.

[0221] In one example, the first proportion X1 corresponds to the first prediction model M1, and the first proportion X2 corresponds to the second prediction model M2. In one example, the second proportion Y1 corresponds to the first prediction model M1, and the second proportion Y2 corresponds to the second prediction model M2.

[0222] In some embodiments, when the first ratio is not equal to 0 (which may also be described as the first ratio being greater than 0), the first ratio indicates that one or more measurements are performed, or the first ratio indicates that the multiple first measurement results include one or more measurement samples.

[0223] In some embodiments, when the first ratio is equal to 0, the first ratio indicates that measurement is not performed, or the first ratio indicates that the plurality of first measurement results do not include measurement samples.

[0224] In some embodiments, when one or more measurements are performed according to the first ratio indication, one or more measurements are performed according to the measurement opportunity within the second measurement period to obtain one or more measurement samples. When at least one prediction is performed according to the second ratio indication determined based on the first ratio, at least one prediction is performed to obtain at least one predicted sample. In this case, multiple measurement samples and at least one predicted sample constitute multiple first measurement results, thereby obtaining a second measurement result. In this way, some measurement samples in the RRM measurement are replaced by predicted samples, thereby effectively reducing the measurement period. At the same time, by replacing actual measurements with predictions, idle measurement opportunities can also be obtained for measuring other frequencies. By combining measurement samples with predicted samples to obtain a valid measurement result, the efficiency of the measurement can be improved while the accuracy of the measurement can be effectively guaranteed.

[0225] In some embodiments, when multiple measurements are performed within the second measurement cycle, the time to perform the prediction is determined based on the time interval between each measurement. In one example, the time to perform the prediction can be within the time interval between each measurement or after the time interval between each measurement.

[0226] In some embodiments, the terminal may determine the order and time location of performing measurements and predictions based on protocol provisions, or may determine the order and time location of performing measurements and predictions based on terminal implementation, or may determine the order and time location based on network configuration.

[0227] In one example, if the first percentage X is 60% and the number of first measurement results is 5, then three measurements are required based on the first percentage, resulting in three measurement samples. If the second percentage is 40% based on the first percentage, then two predictions are required based on the second percentage, resulting in two prediction samples. In this case, the five first measurement results can be obtained using the following procedure as shown in Figure 2C: {measurement, measurement, prediction, measurement, prediction}.

[0228] In an example, the time interval between each of the three measurements is s seconds. The terminal may perform a first prediction after the first s seconds and a second prediction after the second s seconds.

[0229] In an example, the five first measurement results may also be obtained through other methods, such as: {measurement, measurement, measurement, prediction, prediction}, for example: {measurement, prediction, measurement, prediction, prediction}.

[0230] In some embodiments, when the first ratio indicates that no measurement should be performed, a second ratio is determined based on the first ratio to indicate that at least one prediction should be performed. The at least one prediction is then performed to obtain at least one prediction sample. In this case, the at least one prediction sample constitutes multiple first measurement results. By replacing all measurement samples in the RRM measurement with prediction samples, the measurement cycle can be significantly reduced, improving measurement efficiency.

[0231] In one example, the first proportion X is 0%, the number of the plurality of first measurement results is 5, and the second proportion is determined to be 100% based on the first proportion. Then, five predictions are performed based on the second proportion to obtain five prediction samples. In this case, the five first measurement results can be obtained as follows: {prediction, prediction, prediction, prediction, prediction}.

[0232] In step S2104, the terminal determines a second measurement result based on the multiple first measurement results.

[0233] In some embodiments, the terminal may determine the second measurement result based on at least one of the following: an average value of multiple first measurement results (denoted as M), an average value of predicted samples (denoted as A), an average value of measured samples (denoted as B), a first proportion (denoted as X), a second proportion (denoted as Y), and a first parameter (k).

[0234] In some embodiments, before step S2103 , the terminal determines a first parameter, where the first parameter is used to adjust weights of the measured samples and the predicted samples in the plurality of first measurement results.

[0235] In some embodiments, the first parameter may be determined based on a network configuration, a protocol specification, or a terminal implementation.

[0236] In an example, when the plurality of first measurement results only include prediction samples, the terminal determines the second measurement result based on an average value of the prediction samples.

[0237] In an example, when the multiple first measurement results include predicted samples and measured samples, the terminal determines the second measurement result based on one of the following methods:

[0238] Method 1: The second measurement result = M.

[0239] Method 2: The second measurement result = B×X×k+A×Y×(1-k).

[0240] Method three: the second measurement result = B×X×(1-k)+A×Y×k.

[0241] Method 4: Second measurement result = B×k+A×(1-k).

[0242] Method 5: Second measurement result = B×(1-k)+A×k.

[0243] In an example, when the number of the plurality of first measurement results is 5 and the first proportion X=0, the terminal performs 5 predictions to obtain 5 prediction samples, and obtains the second measurement result based on the 5 prediction samples.

[0244] In one example, when the number of multiple first measurement results is 5 and the first proportion X=0.2, the terminal performs 1 measurement and 4 predictions to obtain 1 measurement sample and 4 prediction samples, and obtains the second measurement result based on the 1 measurement sample and the 4 prediction samples.

[0245] 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 can be implemented as an independent embodiment. For example, step S2102 can be implemented as an independent embodiment. For example, step S2103 can be implemented as an independent embodiment. For example, step S2104 can be implemented as an independent embodiment. For example, step S2102 and step S2103 can be combined to implement as an independent embodiment. For example, step S2103 and step S2104 can be combined to implement as an independent embodiment. For example, step S2102, step S2103, and step S2104 can be combined to implement as an independent embodiment. However, the present invention is not limited thereto.

[0246] FIG2B is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG2B , the present disclosure embodiment relates to a communication method. Executed by the communication system 100, the communication method includes steps S2201 to S2204.

[0247] In step S2201, the network device sends a first pattern.

[0248] In some embodiments, the terminal receives a first pattern.

[0249] In some embodiments, the first pattern is used to indicate predicted samples obtained based on prediction and / or measured samples obtained based on measurement.

[0250] In some embodiments, the first pattern includes at least one first value and / or at least one second value, the first value represents a measurement sample obtained based on measurement, and the second value represents a prediction sample obtained based on prediction.

[0251] In some embodiments, the first pattern may indicate the number of executions of obtaining predicted samples based on prediction and / or obtaining measured samples based on measurement, and may also indicate the execution order of obtaining predicted samples based on prediction and obtaining measured samples based on measurement.

[0252] In one example, the first value is 1, the second value is 0, and the first pattern is 11100, which indicates that five first measurement results need to be obtained, including three measurement samples and two prediction samples. The first three measurements are performed, and the last two are performed for prediction.

[0253] In some embodiments, the network device may also send third information, where the third information is used to indicate the first pattern. The terminal determines the first pattern based on the third information.

[0254] In some embodiments, the third information may be an index (eg, index), and different indexes correspond to different first patterns. In one example, index1 indicates 11100, and index2 indicates 10101.

[0255] In some embodiments, the first pattern is carried in first configuration information, and the first configuration information may be one of the following: measurement configuration, measurement object configuration, and reporting configuration.

[0256] In some embodiments, the first pattern is configured according to at least one of the following: terminal, measured frequency, and frequency range. It can be understood that different terminals correspond to different first patterns, different measured frequencies correspond to different first patterns, and different frequency ranges correspond to different first patterns.

[0257] In one example, the first pattern (eg, pattern) is represented by P, and the first pattern corresponding to terminal A is P A , for example, P A =11001, the first pattern corresponding to terminal B is P B , for example, P B =11110. In one example, the first pattern corresponding to the frequency f1 to be measured is P f1 , for example, P f1 =11000, the first pattern corresponding to the measured frequency f2 is X f2 , for example, P f2 =10100. In one example, the first pattern corresponding to the frequency range FR1 is X FR1 , for example, P FR1 =11001, the first pattern corresponding to the frequency range FR2 is X FR2 , for example, P FR2 =10001.

[0258] In some embodiments, before step S2101 , the terminal may send the first capability of the terminal to the network device, and the network device sends the first pattern based on the first capability of the terminal.

[0259] In some embodiments, the first capability of the terminal may include at least one of the following: the terminal's ability to support determining a second measurement result based on a predicted sample and a measured sample (hereinafter referred to as capability one); the terminal's ability to support obtaining a first measurement result based on a prediction (hereinafter referred to as capability three); and the terminal's ability to support a first pattern (hereinafter referred to as capability four). It can be understood that the network device can send the first pattern based on capabilities one, three, and four.

[0260] In some embodiments, capability four may be understood as: the number of first patterns supported by the terminal, and / or specific values ​​of the first patterns supported by the terminal.

[0261] In some embodiments, when capability 4 indicates that the terminal supports only one first pattern, the network device sends the first pattern supported by the terminal to the terminal. When capability 4 indicates that the terminal supports multiple first patterns, the network device may select one or more first patterns supported by the terminal to send.

[0262] In some embodiments, step S2201 may be omitted, in which case the first pattern may be obtained by the terminal itself. It can be understood that the terminal may obtain the first pattern without interacting with the network device.

[0263] In some embodiments, the terminal may obtain the first pattern based on a protocol agreement.

[0264] In some embodiments, the terminal may also obtain the first pattern based on the terminal's support capability for the first pattern. If the terminal supports only one first pattern, the terminal determines the second measurement result based on the supported first pattern. If the terminal supports multiple first patterns, the terminal may select one of the multiple first patterns to determine the second measurement result.

[0265] In some embodiments, the terminal may also obtain the first pattern based on terminal implementation.

[0266] In some embodiments, the terminal may also obtain the first pattern based on the configuration of the network device at a historical moment.

[0267] In step S2202, the terminal determines a second measurement period and / or measurement opportunity based on the first pattern.

[0268] In some embodiments, the terminal determines a first ratio based on the first pattern, and determines a second measurement period based on the first ratio. In this case, the measurement opportunity can be determined based on existing protocol provisions, network configuration, or terminal implementation. For an embodiment of determining the second measurement period based on the first ratio, see the embodiment related to the second measurement period in FIG. 2A , and will not be further described here.

[0269] In some embodiments, the terminal determines the measurement opportunity based on the first pattern. In this case, the second measurement period can be determined based on an existing protocol, a network configuration, or a terminal implementation.

[0270] In some embodiments, the terminal determines a measurement opportunity within a first measurement period based on the number of times the measurement is performed indicated by the first pattern. In some embodiments, the first measurement period may be determined based on provisions of an existing protocol.

[0271] In step S2203, the terminal determines a plurality of first measurement results based on the second measurement cycle and / or measurement opportunity.

[0272] The optional implementation of step S2203 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.

[0273] In step S2204, the terminal determines a second measurement result based on the multiple first measurement results.

[0274] In some embodiments, the terminal may determine the second measurement result based on at least one of the following: an average value of multiple first measurement results (denoted as M), an average value of predicted samples (denoted as A), an average value of measured samples (denoted as B), a first proportion (denoted as X), a second proportion (denoted as Y), and a first parameter (k). The first proportion and the second proportion may be calculated based on the first pattern.

[0275] In some embodiments, before step S2103 , the terminal determines a first parameter, where the first parameter is used to adjust weights of the measured samples and the predicted samples in the plurality of first measurement results.

[0276] In some embodiments, the first parameter may be determined based on a network configuration, a protocol specification, or a terminal implementation.

[0277] In some embodiments, when the second measurement result is determined based on the following method, the terminal needs to calculate the first ratio and the second ratio based on the first pattern:

[0278] (1) Second measurement result = B×X×k+A×Y×(1−k).

[0279] (2) Second measurement result = B×X×(1-k)+A×Y×k.

[0280] (3) Second measurement result = B×k+A×(1−k).

[0281] (4) Second measurement result = B×(1−k)+A×k.

[0282] In some embodiments, when the second measurement result is determined based on the following method, the terminal does not need to calculate the first ratio and the second ratio based on the first pattern:

[0283] (5) Second measurement result = A.

[0284] (6) Second measurement result = M.

[0285] In one example, when the number of the multiple first measurement results is 5 and the first pattern is 00000 (0 represents prediction), the terminal performs 5 predictions to obtain 5 prediction samples, and obtains the second measurement result based on the 5 prediction samples.

[0286] In one example, when the number of multiple first measurement results is 5 and the first pattern is 10100 (0 represents prediction, 1 represents measurement), the terminal performs measurement for the first time, performs prediction for the second time, performs measurement for the third time, performs prediction for the fourth and fifth times, obtains 2 measurement samples and 3 prediction samples, and obtains the second measurement result based on the 2 measurement samples and 3 prediction samples.

[0287] The communication method involved in the embodiments of the present disclosure may include at least one of steps S2201 to S2204. For example, step S2201 can be implemented as an independent embodiment. For example, step S2202 can be implemented as an independent embodiment. For example, step S2203 can be implemented as an independent embodiment. For example, step S2204 can be implemented as an independent embodiment. For example, step S2202 and step S2203 can be combined to implement as an independent embodiment. For example, step S2203 and step S2204 can be combined to implement as an independent embodiment. For example, step S2202, step S2203, and step S2204 can be combined to implement as an independent embodiment. However, the present invention is not limited thereto.

[0288] In some embodiments, terms such as “first measurement result obtained based on prediction”, “prediction sample”, “prediction result”, “prediction measurement result”, and “prediction result sample” may be used interchangeably.

[0289] In some embodiments, terms such as “a first measurement result obtained based on measurement”, “a measurement sample”, “an actual measurement result”, “a measurement result”, and “a measurement result sample” may be used interchangeably.

[0290] In some embodiments, terms such as "second measurement result", "valid measurement result", "reported measurement result", and "final measurement result" can be used interchangeably.

[0291] In some embodiments, terms such as "first proportion", "first sample proportion", "proportion of measurement samples", "proportion of actual measurement results", and "measurement proportion" can be used interchangeably.

[0292] In some embodiments, terms such as "second proportion", "second sample proportion", "prediction sample proportion", "prediction result proportion", and "prediction proportion" can be used interchangeably.

[0293] In some embodiments, the terms "first pattern", "sample pattern", "measured and predicted patterns", etc. can be used interchangeably.

[0294] In some embodiments, terms such as “first parameter,” “adjustment value,” “weight value,” “proportional factor,” and “weight factor” may be used interchangeably.

[0295] 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.

[0296] In some embodiments, the terms "carry", "include", "contain", "encapsulate", etc. can be used interchangeably.

[0297] In some embodiments, the terms "radio", "wireless", "radio access network (RAN)", "access network (AN)", "RAN-based" and the like may be used interchangeably.

[0298] 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.

[0299] In some embodiments, terms such as “send”, “transmit”, “report”, “transmit”, “request”, “bidirectional transmission”, “send and / or receive”, etc. can be used interchangeably.

[0300] In some embodiments, terms such as "send", "return", "feedback", "response", and "answer" can be used interchangeably.

[0301] In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain 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, a certain A, any A, or first A, etc., but not limited to this.

[0302] 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.

[0303] FIG3A is a schematic diagram illustrating a first implementation flow of a terminal executing a communication method according to an embodiment of the present disclosure. As shown in FIG3A , the embodiment of the present disclosure relates to a communication method executed by a terminal. The communication method includes steps S3101 to S3104.

[0304] In step S3101, a first proportion is obtained.

[0305] The optional implementation of step S3101 can refer to the optional implementation of step S2101 in Figure 2A and other related parts of the embodiment involved in Figure 2A, which will not be repeated here.

[0306] In step S3102, a second measurement period and / or measurement opportunity is determined based on the first proportion.

[0307] The optional implementation of step S3102 can refer to the optional implementation of step S2102 in Figure 2A and other related parts of the embodiment involved in Figure 2A, which will not be repeated here.

[0308] In step S3103 , a plurality of first measurement results are determined based on the second measurement cycle and / or measurement opportunity.

[0309] The optional implementation of step S3103 can be found in the optional implementation of step S2103 in FIG2A and other related parts of the embodiment involved in FIG2A , which will not be described in detail here.

[0310] In step S3104, a second measurement result is determined based on the plurality of first measurement results.

[0311] The optional implementation of step S3104 can refer to the optional implementation of step S2104 in Figure 2A and other related parts of the embodiment involved in Figure 2A, which will not be repeated here.

[0312] FIG3B is a schematic diagram of a second implementation flow of a terminal executing a communication method according to an embodiment of the present disclosure. As shown in FIG3B , the embodiment of the present disclosure relates to a communication method executed by a terminal. The communication method includes steps S3201 to S3202.

[0313] In step S3201, a first proportion is obtained.

[0314] The optional implementation of step S3201 can refer to the optional implementation of step S2101 in Figure 2A and other related parts of the embodiment involved in Figure 2A, which will not be repeated here.

[0315] In step S3202, a second measurement result is determined based on the first ratio.

[0316] The optional implementation of step S3202 can refer to the optional implementation of steps S2102 to S2104 in Figure 2A and other related parts of the embodiment involved in Figure 2A, which will not be repeated here.

[0317] FIG3C is a schematic diagram of a third implementation flow of a terminal executing a communication method according to an embodiment of the present disclosure. As shown in FIG3C , the present disclosure embodiment relates to a communication method executed by a terminal. The communication method includes steps S3301 to S3304.

[0318] In step S3301, a first pattern is obtained.

[0319] The optional implementation of step S3301 can refer to the optional implementation of step S2201 in Figure 2B and other related parts of the embodiment involved in Figure 2B, which will not be repeated here.

[0320] In step S3302, a second measurement period and / or measurement opportunity is determined based on the first pattern.

[0321] The optional implementation of step S3302 can refer to the optional implementation of step S2202 in Figure 2B and other related parts of the embodiment involved in Figure 2B, which will not be repeated here.

[0322] In step S3303, based on the second measurement cycle and / or measurement opportunity, a plurality of first measurement results are determined.

[0323] The optional implementation of step S3303 can refer to the optional implementation of step S2203 in Figure 2B and other related parts of the embodiment involved in Figure 2B, which will not be repeated here.

[0324] In step S3304, a second measurement result is determined based on the plurality of first measurement results.

[0325] The optional implementation of step S3304 can refer to the optional implementation of step S2204 in Figure 2B and other related parts of the embodiment involved in Figure 2B, which will not be repeated here.

[0326] FIG3D is a schematic diagram of a fourth implementation flow of a terminal executing a communication method according to an embodiment of the present disclosure. As shown in FIG3D , the embodiment of the present disclosure relates to a communication method executed by a terminal. The communication method includes steps S3401 to S3402.

[0327] In step S3401, a first pattern is obtained.

[0328] The optional implementation of step S3401 can refer to the optional implementation of step S2201 in Figure 2B and other related parts of the embodiment involved in Figure 2B, which will not be repeated here.

[0329] In step S3402, a second measurement result is determined based on the first pattern.

[0330] The optional implementation of step S3402 can refer to the optional implementation of steps S2202 to S2204 in Figure 2B and other related parts of the embodiment involved in Figure 2B, which will not be repeated here.

[0331] FIG3E is a schematic diagram of a fifth implementation flow of a terminal executing a communication method according to an embodiment of the present disclosure. As shown in FIG3E , the present disclosure embodiment relates to a communication method executed by a terminal. The communication method includes steps S3501 to S3504.

[0332] In step S3501, first information is obtained.

[0333] In some embodiments, the first information includes at least one of the following: a first proportion, a second proportion, and a first pattern.

[0334] The optional implementation of step S3501 can be found in the optional implementation of step S2101 in Figure 2A, the optional implementation of step S2201 in Figure 2B, other related parts in the embodiment involved in Figure 2A, and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0335] In step S3502, a second measurement period and / or measurement opportunity is determined based on the first information.

[0336] The optional implementation of step S3502 can be found in the optional implementation of step S2102 in Figure 2A, the optional implementation of step S2202 in Figure 2B, other related parts in the embodiment involved in Figure 2A, and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0337] In step S3503, based on the second measurement cycle and / or measurement opportunity, a plurality of first measurement results are determined.

[0338] The optional implementation of step S3503 can be found in the optional implementation of step S2103 in Figure 2A, the optional implementation of step S2203 in Figure 2B, other related parts in the embodiment involved in Figure 2A, and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0339] In step S3504, a second measurement result is determined based on the plurality of first measurement results.

[0340] The optional implementation of step S3504 can be found in the optional implementation of step S2104 in Figure 2A, the optional implementation of step S2204 in Figure 2B, other related parts in the embodiment involved in Figure 2A, and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0341] FIG3F is a sixth embodiment of a communication method executed by a terminal according to an embodiment of the present disclosure. As shown in FIG3F , the present disclosure embodiment relates to a communication method executed by a terminal. The communication method includes steps S3601 to S3603.

[0342] In step S3601, first information is obtained.

[0343] The optional implementation of step S3601 can be found in the optional implementation of step S2101 in Figure 2A, the optional implementation of step S2201 in Figure 2B, other related parts in the embodiment involved in Figure 2A, and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0344] In step S3602, a plurality of first measurement results are determined based on the first information.

[0345] The optional implementation of step S3602 can be found in the optional implementation of steps S2102 to S2103 in Figure 2A, the optional implementation of steps S2202 to S2203 in Figure 2B, other related parts in the embodiment involved in Figure 2A, and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0346] In step S3603 , a second measurement result is determined based on the plurality of first measurement results.

[0347] The optional implementation of step S3603 can be found in the optional implementation of step S2104 in Figure 2A, the optional implementation of step S2204 in Figure 2B, other related parts in the embodiment involved in Figure 2A, and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0348] FIG4A is a seventh embodiment of a communication method executed by a terminal according to an embodiment of the present disclosure. As shown in FIG4A , the present disclosure embodiment relates to a communication method executed by a terminal. The communication method includes steps S4101 to S4102.

[0349] In step S4101, first information is obtained.

[0350] The optional implementation of step S4101 can be found in the optional implementation of step S2101 in Figure 2A, the optional implementation of step S2201 in Figure 2B, other related parts in the embodiment involved in Figure 2A, and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0351] In step S4102, a second measurement result is determined based on the first information.

[0352] The optional implementation of step S4102 can be found in the optional implementation of steps S2102 to S2104 in Figure 2A, the optional implementation of steps S2202 to S2204 in Figure 2B, other related parts in the embodiment involved in Figure 2A, and other related parts in the embodiment involved in Figure 2B, which will not be repeated here.

[0353] FIG4B is a schematic diagram illustrating an implementation flow of a communication method executed by a network device according to an embodiment of the present disclosure. As shown in FIG4B , the present disclosure embodiment relates to a communication method executed by a network device. The communication method includes step S4201.

[0354] In step S4201, the first information is sent.

[0355] In some embodiments, the first information includes at least one of the following: a first proportion, a second proportion, and a first pattern.

[0356] The optional implementation of step S4201 can be found in the optional implementation of step S2101 in Figure 2A, the optional implementation of step S2201 in Figure 2B, other related parts in the embodiment involved in Figure 2A and other related parts in the embodiment involved in Figure 2B, and will not be repeated here.

[0357] In some embodiments, the terminal obtains a valid measurement result based on the predicted measurement result and the actual measurement result.

[0358] In some embodiments, the predicted measurement results (which may be referred to as predicted samples for short) and the actual measurement results (which may be referred to as measurement samples for short) may be at a cell level or a beam level.

[0359] In some embodiments, based on the predicted sample ratio corresponding to the predicted sample (which may also be the measured sample ratio corresponding to the measured sample) agreed upon by the network configuration or protocol, actual measurement and prediction are performed to obtain measured samples and predicted samples, and a valid measurement result is obtained based on the measured samples and predicted samples.

[0360] In some embodiments, the terminal determines the second measurement period and / or measurement opportunity based on the predicted sample ratio (and / or the measured sample ratio).

[0361] In some embodiments, the second measurement period is the time required for the terminal to obtain a valid measurement result. During the second measurement period, the terminal performs measurement to obtain multiple measurement samples.

[0362] In some embodiments, the predicted sample ratio (and / or the measured sample ratio) may be configured by the network or agreed upon by a protocol, or may be determined by the terminal based on implementation or terminal capabilities.

[0363] In some embodiments, the predicted sample ratio (and / or measured sample ratio) may be included in information elements such as measurement configuration and measurement object configuration. The predicted sample ratio (and / or measured sample ratio) may be related to each frequency to be measured, or may be a Per terminal configuration, or a Per FR configuration. In the Per FR configuration, FR1 corresponds to a predicted sample ratio (and / or measured sample ratio), and FR2 corresponds to a predicted sample ratio (and / or measured sample ratio).

[0364] In some embodiments, based on the terminal capabilities, the terminal can support one or more predicted sample ratios (and / or measured sample ratios), and the terminal can select one of the supported ratios to obtain valid measurement results, or the terminal reports one or more supported predicted sample ratios (and / or measured sample ratios), and the network side configures the corresponding predicted sample ratios (and / or measured sample ratios) for the terminal based on the capabilities reported by the terminal.

[0365] In some embodiments, the terminal determines the second measurement period based on the predicted sample ratio (and / or the measured sample ratio), including: based on the measured sample ratio, multiplying the measured sample ratio in an existing measurement period, where the existing measurement sample period is a measurement period that does not introduce the prediction. Alternatively, based on the predicted sample ratio, multiplying the predicted sample ratio in an existing measurement period by (1-predicted sample ratio), where the existing measurement period is a measurement period that does not introduce the prediction.

[0366] In some embodiments, X=measured sample ratio=(1-predicted sample ratio).

[0367] In some embodiments, the predicted sample ratio (and / or measured sample ratio) may be expressed as follows:

[0368] The first method is percentage. For example, 20, 40, 60, 80, 100, the unit is 100%.

[0369] The second method is decimals, for example, 0.2, 0.4, 0.6, 0.8, 1.

[0370] In some embodiments, the predicted sample ratio may be determined by a prediction scheme, with different prediction schemes corresponding to different ratios.

[0371] In some embodiments, the terminal performs a corresponding number of measurements in a corresponding second measurement period to obtain measurement samples, then performs prediction to obtain a corresponding number of prediction samples, and obtains a valid measurement result based on the measurement samples and the prediction samples.

[0372] In some embodiments, the time corresponding to the predicted sample obtained by the terminal through prediction is obtained based on the time interval of each measured sample, or the terminal determines the time corresponding to the predicted sample that needs to be obtained through prediction based on implementation or network configuration.

[0373] In some embodiments, the measurement samples can be used as input to the AI ​​prediction model, and the prediction samples are output.

[0374] In one example, the measurement sample ratio X = 60%, and the number of samples required to obtain a measurement result is 5. That is, the terminal performs three measurements in the second measurement period, obtains three measurement samples, then performs prediction, obtains two prediction samples based on the prediction, and generates a valid measurement result based on these five samples. The interval between each of the first three measurements is s seconds, and the terminal predicts the measurement result after the first s seconds and the measurement result after the second s seconds.

[0375] In some embodiments, the terminal determines the measurement opportunity based on the predicted sample ratio (and / or the measured sample ratio) (in this case, the second measurement period of the terminal is consistent with the existing measurement period algorithm). The terminal can determine the measurement opportunity to perform the measurement based on the network configuration and / or protocol agreement and / or terminal implementation (for example, considering the AI ​​model). The unused measurement opportunity is used for measurement of other frequencies based on the network configuration or protocol agreement.

[0376] In one example, for example, 5 samples are obtained in the manner shown in FIG2C (the measurement sample ratio is 60%).

[0377] In some embodiments, the AI ​​model used by the terminal for prediction can be associated with the predicted sample ratio (and / or the measured sample ratio), different predicted sample ratios (and / or measured sample ratios) correspond to different AI models (for example, corresponding to AI model identifiers), and the terminal can determine the AI ​​model to be used to perform the prediction based on the predicted sample ratio (and / or measured sample ratio).

[0378] In some embodiments, the terminal needs to obtain valid measurement results based on the measurement samples and the prediction samples. The valid measurement results can be obtained in the following ways:

[0379] Method 1: The mean of the results of multiple samples.

[0380] Method 2: the mean of the measured sample * the proportion of the measured sample * the adjustment value + the mean of the predicted sample * the proportion of the predicted sample * (1-adjustment value).

[0381] Method three: the mean of the measured sample * the proportion of the measured sample * (1-adjustment value) + the mean of the predicted sample * the proportion of the predicted sample * the adjustment value.

[0382] Method 4: the mean of the measured sample * the adjusted value + the mean of the predicted sample * (1-adjusted value).

[0383] Method 5: mean of measured sample * (1-adjusted value) + mean of predicted sample * adjusted value.

[0384] In some embodiments, the adjustment value is configured by the network or specified by the protocol or determined based on terminal implementation, and is used to adjust the weight ratio of the measured samples and the predicted samples.

[0385] In some embodiments, based on the network configuration or the prediction pattern agreed upon by the protocol, measurement and prediction are performed to obtain measurement samples and prediction samples, and a valid measurement result is obtained based on the measurement samples and the prediction samples.

[0386] In some embodiments, the terminal determines when to perform measurement to obtain measurement samples or obtain samples through prediction based on the prediction pattern.

[0387] In some embodiments, the predicted sample ratio (and / or the measured sample ratio) may be replaced by a predicted pattern.

[0388] In some embodiments, the prediction pattern may be represented by a bit stream, which includes 1s and 0s. 1 indicates that measurement is performed, and 0 indicates that the prediction pattern is obtained, for example, 11001, 11100, 10101, etc.

[0389] In some embodiments, the network side configures specific prediction patterns, each pattern corresponds to an index (eg, index). The network side can configure specific indexes for the terminal, for example, index 1 indicates 11100; index 2 indicates 10101; index 3 indicates 11001, and so on.

[0390] In some embodiments, the terminal determines a measurement opportunity based on a prediction pattern. The terminal may determine a measurement opportunity to perform measurement based on network configuration and / or protocol agreement and / or terminal implementation (for example, considering an AI model). Unused measurement opportunities are used for measurements of other frequencies based on network configuration or protocol agreement.

[0391] In one example, for example, 5 samples are obtained in the manner shown in FIG2C (the predicted pattern is 11010).

[0392] In some embodiments, the terminal obtains a valid measurement result based on the measurement sample and the prediction sample, and may obtain the valid measurement result in the following manner:

[0393] Method 1: The mean of the results of multiple samples.

[0394] Method 2: the mean of the measured sample * the proportion of the measured sample * the adjustment value + the mean of the predicted sample * the proportion of the predicted sample * (1-adjustment value).

[0395] Method three: the mean of the measured sample * the proportion of the measured sample * (1-adjustment value) + the mean of the predicted sample * the proportion of the predicted sample * the adjustment value.

[0396] Method 4: the mean of the measured sample * the adjusted value + the mean of the predicted sample * (1-adjusted value).

[0397] Method 5: mean of measured sample * (1-adjusted value) + mean of predicted sample * adjusted value.

[0398] In some embodiments, the measured sample ratio and the predicted sample ratio can be calculated based on the predicted pattern.

[0399] In some embodiments, the adjustment value is configured by the network or specified by the protocol or determined based on terminal implementation, and is used to adjust the weight ratio of the measured samples and the predicted samples.

[0400] In some embodiments, the network side may configure at least one of the following based on the terminal capability: a predicted sample ratio, a measured sample ratio, and a predicted pattern.

[0401] In some embodiments, the terminal side may determine at least one of the following based on the terminal capability: a predicted sample ratio, a measured sample ratio, and a predicted pattern.

[0402] In some embodiments, the terminal capabilities include at least one of the following:

[0403] The terminal's ability to support obtaining a valid measurement result based on the predicted measurement result and the actual measured measurement result;

[0404] The terminal's ability to support the predicted sample ratio;

[0405] The terminal's ability to support the measurement of sample ratios;

[0406] The terminal's ability to support prediction patterns.

[0407] The embodiments of the present disclosure further provide a device for implementing any of the above methods, for example, a terminal including units or modules for implementing each step performed by the terminal in any of the above methods. For another example, another network device is provided, including units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0408] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. 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. 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, it 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 the form of software called by the processor, and the remaining part by the form of hardware circuits.

[0409] In the disclosed embodiments, a processor is a circuit capable of signal processing. In one implementation, the processor may be a circuit capable of reading and executing instructions, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which may be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor may implement certain functions through the logical relationships of hardware circuits, where the logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor may be a hardware circuit implemented as an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration file to implement 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 ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0410] Figure 5A is a schematic diagram of the structure of the terminal proposed in an embodiment of the present disclosure. As shown in Figure 5A, the terminal 5100 may include: a first transceiver module 5101. In some embodiments, the first transceiver module 5101 is used to obtain first information, wherein the first information is used to indicate that a first measurement result is obtained based on a prediction and / or a first measurement result is obtained based on a measurement; based on the first information, a second measurement result is determined; and the second measurement result is determined based on multiple first measurement results. In some embodiments, the above-mentioned first transceiver module 5101 is used to perform at least one of the communication steps such as sending and / or receiving performed by the terminal in any of the above methods (for example, step S2101, step S2201, but not limited thereto), which will not be repeated here.

[0411] Figure 5B is an exemplary structural diagram of a network device provided according to an embodiment of the present disclosure. As shown in Figure 5B, network device 5200 may include a second transceiver module 5201. In some embodiments, second transceiver module 5201 may be configured to send first information indicating a first measurement result obtained based on a prediction and / or a first measurement result obtained based on a measurement. In some embodiments, second transceiver module 5201 may be configured to perform at least one of the communication steps, such as sending and / or receiving, performed by the network device in any of the above methods, which will not be further described herein.

[0412] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module. The transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0413] Figure 6 is a schematic diagram of the structure of a communication device provided according to an embodiment of the present disclosure. Communication device 6100 can be a network device, a terminal (e.g., user equipment), a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a 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.

[0414] As shown in Figure 6, 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 the communication protocol and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, 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.

[0415] 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 (e.g., step S2101, but not limited thereto) such as sending and / or receiving in the above method, and the processor 6102 performs at least one of the other steps (e.g., step S2102, step S2103, step S2104, but not limited thereto). In an optional embodiment, the transceiver 6102 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.

[0416] 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.

[0417] 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. 6 . The communication device may be an independent device or may be part of a larger device. For example, the communication device 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.

[0418] FIG7 is a schematic diagram of the structure of a chip provided according to 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 structure of the chip 7100 shown in FIG7 , but the present invention is not limited thereto.

[0419] The chip 7100 includes one or more processors 7101. The chip 7100 is configured to execute any of the above methods.

[0420] In some embodiments, chip 7100 further includes one or more interface circuits 7102. Terms such as interface circuit, interface, and transceiver pins may be used interchangeably. In some embodiments, chip 7100 further includes one or more memories 7103 for storing data. Alternatively, all or part of memory 7103 may be located external to chip 7100. Optionally, interface circuit 7102 is connected to memory 7103 and may be used to receive data from memory 7103 or other devices, or may be used to send data to memory 7103 or other devices. For example, interface circuit 7102 may read data stored in memory 7103 and send the data to processor 7101.

[0421] In some embodiments, the interface circuit 7102 performs at least one of the communication steps (e.g., step S2101 and step S2201, but not limited thereto) of the aforementioned method. The interface circuit 7102 performing the communication steps (e.g., step S2101 and step S2201, but not limited thereto) of the aforementioned method means, for example, that the interface circuit 7102 performs data exchange between the processor 7101, chip 7100, memory 7103, or a transceiver device. In some embodiments, the processor 7101 performs at least one of the other steps (e.g., step S2102, step S2103, and step S2104, but not limited thereto).

[0422] 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.

[0423] The embodiments of the present disclosure further provide 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 temporary storage medium.

[0424] The present disclosure also provides a program product, which, when executed by the communication device 6100, enables the communication device 6100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0425] The embodiments of the present disclosure further provide a computer program, which, when executed on a computer, enables the computer to execute any of the above methods.

[0426] Other embodiments of the present invention will readily occur to those skilled in the art after considering the specification and practicing the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the invention that follow from the general principles of the invention 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 invention being indicated by the following claims.

[0427] It should be understood that the present invention is not limited to the exact construction described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A communication method, performed by a terminal, comprising: Determining a second measurement result based on first information, where the first information is used to indicate a plurality of first measurement results obtained based on prediction and / or measurement; The second measurement result is determined based on the plurality of first measurement results.

2. The method according to claim 1, wherein The first information includes at least one of the following: a first proportion, where the first proportion is a proportion of the first measurement result obtained based on the measurement in the multiple first measurement results; a second proportion, where the first proportion is a proportion of the first measurement result obtained based on the prediction in the multiple first measurement results; A first pattern is used to indicate at least one first measurement result among the multiple first measurement results, where the at least one first measurement result is obtained based on prediction and / or measurement.

3. The method according to claim 2, wherein: The first information is obtained based on a first capability of the terminal, where the first capability includes at least one of the following: a capability of the terminal to support determining a second measurement result based on the plurality of first measurement results; A capability of the terminal to support obtaining a first measurement result based on the prediction; the terminal's support capability for the first ratio; the terminal's support capability for the second ratio; The terminal's support capability for the first pattern.

4. The method according to claim 3, wherein: The plurality of first measurement results are obtained based on prediction and measurement.

5. The method according to any one of claims 1 to 4, wherein: Different values ​​of the first information are associated with different prediction models, and the method further includes: A first prediction model associated with the first information is determined from the plurality of prediction models, where the first prediction model is used to obtain a first measurement result based on prediction.

6. The method according to any one of claims 1 to 5, wherein: The first information is configured according to at least one of the following: terminal; Frequency to be measured; Frequency range.

7. The method according to any one of claims 1 to 6, wherein: The method further comprises one of the following: receiving first configuration information, where the first configuration information includes the first information; Obtaining preconfigured first information; The first information is obtained according to a terminal implementation of the terminal.

8. The method according to claim 7, wherein: The first configuration information is one of the following: Measurement configuration; Measurement object configuration; Report configuration.

9. The method according to any one of claims 1 to 8, wherein: The determining a second measurement result based on the first information includes: determining a plurality of first measurement results based on the first information; Based on the plurality of first measurement results, the second measurement result is determined.

10. The method according to claim 9, wherein: The determining a plurality of first measurement results based on the first information includes: determining a second measurement period and / or measurement opportunity based on the first information; The plurality of first measurement results are determined according to the second measurement cycle and / or the measurement opportunity.

11. The method according to claim 10, wherein: The first information includes a first proportion, where the first proportion is a proportion of the first measurement result obtained based on the measurement in the multiple first measurement results; The determining of the second measurement period based on the first information includes: The first measurement period is multiplied by the first ratio to obtain the second measurement period.

12. The method according to claim 10 or 11, wherein: The second measurement period includes the sum of durations corresponding to the first measurement results obtained based on the measurement in the multiple first measurement results.

13. The method according to claim 11, wherein The determining, according to the second measurement period, the plurality of first measurement results includes: performing one or more measurements within the second measurement period to obtain one or more first measurement results based on the measurements; The one or more first measurement results obtained based on the measurement are used as input of a first prediction model, and the one or more first measurement results obtained based on the prediction are obtained through the first prediction model; the first prediction model is associated with the first information.

14. The method according to claim 13, wherein Multiple measurements are performed within the second measurement period, and the time corresponding to the at least one first measurement result obtained based on the prediction is determined according to the time interval between each measurement.

15. The method according to claim 10, wherein The determining of a measurement opportunity based on the first information includes: According to obtaining the first measurement result based on the prediction and / or obtaining the first measurement result based on the measurement, a measurement opportunity for performing measurement is determined in the first measurement cycle.

16. The method according to any one of claims 1 to 15, wherein: The second measurement result is determined based on at least one of the following: an average value of the plurality of first measurement results; an average value of the first measurement results obtained based on the prediction; an average value of the first measurement results obtained based on the measurement; a first proportion, where the first proportion is a proportion of the first measurement result obtained based on the measurement in the multiple first measurement results; a second proportion, where the first proportion is a proportion of the first measurement result obtained based on the prediction in the multiple first measurement results; A first parameter is used to adjust weights of a first measurement result obtained based on measurement and a first measurement result obtained based on prediction in the multiple first measurement results.

17. The method according to claim 16, wherein The first parameter is network configured, or pre-configured, or determined based on terminal implementation of the terminal.

18. A communication method, performed by a network device, the method comprising: First information is sent, where the first information is used to indicate a plurality of first measurement results obtained based on prediction and / or measurement.

19. The method according to claim 18, wherein The first information includes at least one of the following: a first proportion, where the first proportion is a proportion of the first measurement result obtained based on the measurement in the multiple first measurement results; a second proportion, where the first proportion is a proportion of the first measurement result obtained based on the prediction in the multiple first measurement results; A first pattern is used to indicate at least one first measurement result among a plurality of first measurement results, where the at least one first measurement result is obtained based on prediction and / or measurement.

20. The method according to claim 19, wherein The first information is configured based on a first capability of the terminal, where the first capability includes at least one of the following: a capability of the terminal to support determining a second measurement result based on the plurality of first measurement results; A capability of the terminal to support obtaining a first measurement result based on the prediction; the terminal's support capability for the first ratio; the terminal's support capability for the second ratio; The terminal's support capability for the first pattern.

21. The method according to claim 20, wherein The plurality of first measurement results are obtained based on prediction and measurement.

22. The method according to any one of claims 18 to 21, wherein The first information is configured according to at least one of the following: terminal; Frequency to be measured; Frequency range.

23. The method according to any one of claims 18 to 22, wherein the first information is carried in first configuration information, and the first configuration information is one of the following: Measurement configuration; Measurement object configuration; Report configuration.

24. A terminal comprising: A first transceiver module is configured to determine a second measurement result based on first information, where the first information is used to indicate a plurality of first measurement results obtained based on prediction and / or measurement; The second measurement result is determined based on the plurality of first measurement results.

25. A network device comprising: The second transceiver module is configured to send first information, where the first information is used to indicate a plurality of first measurement results obtained based on prediction and / or measurement.

26. A terminal comprising: one or more processors; The terminal is used to execute the communication method according to any one of claims 1 to 17.

27. A network device comprising: one or more processors; Wherein, the network device is used to execute the communication method described in any one of claims 18 to 23.

28. A communication system comprising a terminal and a network device, wherein: The terminal is configured to implement the communication method according to any one of claims 1 to 17; the network device is configured to implement the communication method according to any one of claims 18 to 23.

29. A storage medium storing instructions, wherein when the instructions are executed on a core network device or a terminal, the core network device or the terminal executes the communication method according to any one of claims 1 to 23.

30. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the communication method according to any one of claims 1 to 23.

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