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

Abstract

The present disclosure relates to a communication method, a terminal, a network device, a communication system and a storage medium. The communication method comprises: determining an observation window and a prediction window on the basis of a first capability of a terminal, wherein the first capability is a prediction capability of the terminal in a time domain, the observation window is used by the terminal to execute measurement, the prediction window is used by the terminal to perform prediction on the basis of the measurement result, and the observation window partially overlaps the prediction window. The embodiments of the present disclosure can save communication resources and improve communication efficiency.

Description

Communication methods, terminals, network equipment, communication systems and storage media Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to communication methods, terminals, network devices, communication systems and storage media. Background Technology

[0002] Radio Resource Management (RRM) measurement processes are crucial for maintaining the performance and reliability of mobile networks. In an RRM measurement scenario, the terminal needs to perform measurements in each measurement cycle, obtain the results, and report them to the network equipment.

[0003] Summary of the Invention

[0004] How to determine the observation window and prediction window when the terminal has time-domain prediction capabilities is a problem that needs to be solved.

[0005] This disclosure provides embodiments of a communication method, a terminal, a network device, a communication system, and a storage medium.

[0006] According to a first aspect of the present disclosure, a communication method is proposed, comprising: determining an observation window and a prediction window based on a first capability of a terminal; wherein the first capability is the prediction capability of the terminal in the time domain, the observation window is used for the terminal to perform measurements, the prediction window is used for the terminal to make predictions based on the measurement results, and the observation window and the prediction window partially overlap.

[0007] According to a second aspect of the present disclosure, a communication method is proposed, comprising: a network device receiving a measurement report sent by a terminal; wherein the measurement report includes a measurement result obtained based on an observation window and a prediction result obtained based on a prediction window; the observation window and the prediction window are determined based on a first capability of the terminal, the first capability being the terminal's prediction capability in the time domain, the observation window being used by the terminal to perform measurements, the prediction window being used by the terminal to make predictions based on the measurement results, and the observation window and the prediction window partially overlapping.

[0008] According to a third aspect of the present disclosure, a terminal is provided, comprising: a processing module, configured to determine an observation window and a prediction window based on a first capability of the terminal; wherein the first capability is the terminal's prediction capability in the time domain, the observation window is used by the terminal to perform measurements, the prediction window is used by the terminal to make predictions based on the measurement results, and the observation window and the prediction window partially overlap.

[0009] According to a fourth aspect of the present disclosure, a network device is provided, comprising: a transceiver module for receiving a measurement report sent by a terminal; wherein the measurement report includes a measurement result obtained based on an observation window and a prediction result obtained based on a prediction window; the observation window and the prediction window are determined based on a first capability of the terminal, the first capability being the terminal's prediction capability in the time domain, the observation window being used by the terminal to perform measurements, and the prediction window being used by the terminal to make predictions based on the measurement results, wherein the observation window and the prediction window partially overlap.

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

[0011] According to a sixth aspect of the present disclosure, a network device is provided, comprising: one or more processors; wherein the network device is configured to perform the communication method of the second aspect.

[0012] According to a seventh aspect of the present disclosure, a communication system is provided, including a terminal and a network device, wherein the terminal is configured to implement the communication method of the first aspect of the claim, and the network device is configured to implement the communication method of the second aspect.

[0013] According to an eighth aspect of the present disclosure, a storage medium is provided that stores instructions which, when executed on a communication device, cause the communication device to perform the method of the first aspect or the second aspect.

[0014] According to a ninth aspect of the present disclosure, a computer program is provided that, when executed by a communication device, causes the communication device to perform the method of the first aspect or the second aspect.

[0015] Through the embodiments of this disclosure, the observation window and the prediction window are determined based on the terminal's time-domain prediction capability. Since the terminal has time-domain prediction capability, the terminal can predict the measurement result in the prediction window based on the measurement result obtained by measurement within the observation window. That is, the terminal does not need to perform actual measurement within the prediction window, thereby saving communication resources and improving communication efficiency. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings required for the description of the embodiments are introduced below. The following drawings are only some embodiments of this disclosure and do not impose specific limitations on the protection scope of this disclosure.

[0017] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0018] Figure 2A is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure.

[0019] Figure 2B is a schematic diagram of the observation window and prediction window according to an example.

[0020] Figure 2C is a schematic diagram of the observation window and prediction window according to another example.

[0021] Figure 2D is a schematic diagram of the observation window and prediction window as illustrated in another example.

[0022] Figure 2E is a schematic diagram of the observation window and prediction window as illustrated in another example.

[0023] Figure 3 is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0024] Figure 4 is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0025] Figure 5A is a schematic diagram of the structure of the terminal proposed in an embodiment of this disclosure.

[0026] Figure 5B is a schematic diagram of the structure of the network device proposed in an embodiment of this disclosure.

[0027] Figure 6A is a schematic diagram of the structure of the communication device proposed in an embodiment of this disclosure.

[0028] Figure 6B is a schematic diagram of the chip structure proposed in an embodiment of this disclosure. Detailed Implementation

[0029] This disclosure provides embodiments of a communication method, a terminal, a network device, a communication system, and a storage medium.

[0030] In a first aspect, embodiments of this disclosure propose a communication method, comprising: determining an observation window and a prediction window based on a first capability of a terminal; wherein the first capability is the prediction capability of the terminal in the time domain, the observation window is used for the terminal to perform measurements, the prediction window is used for the terminal to make predictions based on the measurement results, and the observation window and the prediction window partially overlap.

[0031] In the above embodiments, the observation window and prediction window are determined based on the terminal's time-domain prediction capability. Since the terminal has time-domain prediction capability, the terminal can predict the measurement result in the prediction window based on the measurement result obtained by measurement within the observation window. That is, the terminal does not need to perform actual measurement within the prediction window, thereby saving communication resources and improving communication efficiency.

[0032] In conjunction with some embodiments of the first aspect, in some embodiments, the first capability includes the ability to predict second information based on first information, wherein the first information is M filtered layer 1 measurement results, and the second information is N filtered layer 1 measurement results, where M and N are both positive integers; the observation window is (M×(N+1)-N) times the measurement period; and the prediction window is N times the measurement period.

[0033] In conjunction with some embodiments of the first aspect, in some embodiments, the first capability is represented based on a first numerical value and a second numerical value, wherein the first numerical value is M and the second numerical value is N.

[0034] In conjunction with some embodiments of the first aspect, in some embodiments, the first capability is represented based on a third numerical value, which is the ratio between M and N.

[0035] In conjunction with some embodiments of the first aspect, in some embodiments, the first capability includes the ability to predict fourth information based on third information, wherein the third information is P unfiltered layer 1 measurement results, and the fourth information is Q unfiltered layer 1 measurement results, where P and Q are both positive integers; the observation window is (P×(Q+1)-Q) times the sampling period; and the prediction window is Q times the sampling period.

[0036] In conjunction with some embodiments of the first aspect, in some embodiments, the first capability is represented based on a fourth value and a fifth value, wherein the fourth value is P and the fifth value is Q.

[0037] In conjunction with some embodiments of the first aspect, in some embodiments, the first capability is represented based on a sixth numerical value, which is the ratio between P and Q.

[0038] In conjunction with some embodiments of the first aspect, in some embodiments, the first capability includes the ability to predict sixth information based on fifth information, wherein the fifth information is K unfiltered layer 1 measurement results, and the sixth information is one filtered layer 1 measurement result, where K is a positive integer; the observation window is K times the sampling period; and the prediction window is the same as the measurement period.

[0039] In conjunction with some embodiments of the first aspect, in some embodiments, the sampling period is an integer multiple of the timing configuration period of the synchronization signal block measurement (SMTC), or the sampling period is an integer multiple of the measurement interval repetition period (MGRP).

[0040] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes: the terminal sending a measurement report to a network device; wherein the measurement report includes measurement results obtained based on the observation window and prediction results obtained based on the prediction window.

[0041] Secondly, embodiments of this disclosure propose a communication method, including: a network device receiving a measurement report sent by a terminal; wherein the measurement report includes measurement results obtained based on an observation window and prediction results obtained based on a prediction window; the observation window and the prediction window are determined based on a first capability of the terminal, the first capability being the terminal's prediction capability in the time domain, the observation window being used by the terminal to perform measurements, the prediction window being used by the terminal to make predictions based on the measurement results, and the observation window and the prediction window partially overlap.

[0042] In conjunction with some embodiments of the second aspect, in some embodiments, the first capability includes the ability to predict second information based on first information, wherein the first information is M filtered layer 1 measurement results, and the second information is N filtered layer 1 measurement results, where M and N are both positive integers; the observation window is (M×(N+1)-N) times the measurement period; and the prediction window is N times the measurement period.

[0043] In conjunction with some embodiments of the second aspect, in some embodiments, the first capability is represented based on a first value and a second value, where the first value is M and the second value is N.

[0044] In conjunction with some embodiments of the second aspect, in some embodiments, the first capability is represented based on a third numerical value, which is the ratio between M and N.

[0045] In conjunction with some embodiments of the second aspect, in some embodiments, the first capability includes the ability to predict fourth information based on third information, wherein the third information is P unfiltered layer 1 measurement results, and the fourth information is Q unfiltered layer 1 measurement results, where P and Q are both positive integers; the observation window is (P×(Q+1)-Q) times the sampling period; and the prediction window is Q times the sampling period.

[0046] In conjunction with some embodiments of the second aspect, in some embodiments, the first capability is represented based on a fourth value and a fifth value, wherein the fourth value is P and the fifth value is Q.

[0047] In conjunction with some embodiments of the second aspect, in some embodiments, the first capability is represented based on a sixth numerical value, which is the ratio between P and Q.

[0048] In conjunction with some embodiments of the second aspect, in some embodiments, the first capability includes the ability to predict sixth information based on fifth information, wherein the fifth information is K unfiltered layer 1 measurement results, and the sixth information is one filtered layer 1 measurement result, where K is a positive integer; the observation window is K times the sampling period; and the prediction window is the same as the measurement period.

[0049] In conjunction with some embodiments of the second aspect, in some embodiments, the sampling period is an integer multiple of the SMTC (Synchronous Signal Block Measurement Timing Configuration) period, or the sampling period is an integer multiple of the MGRP (Measurement Interval Repetition Period).

[0050] Thirdly, this disclosure provides a terminal, including: a processing module, configured to determine an observation window and a prediction window based on a first capability of the terminal; wherein the first capability is the terminal's prediction capability in the time domain, the observation window is used by the terminal to perform measurements, the prediction window is used by the terminal to make predictions based on the measurement results, and the observation window and the prediction window partially overlap.

[0051] Fourthly, embodiments of this disclosure propose a network device, including: a transceiver module for receiving a measurement report sent by a terminal; wherein the measurement report includes measurement results obtained based on an observation window and prediction results obtained based on a prediction window; the observation window and the prediction window are determined based on a first capability of the terminal, the first capability being the terminal's prediction capability in the time domain, the observation window is used by the terminal to perform measurements, the prediction window is used by the terminal to make predictions based on the measurement results, and the observation window and the prediction window partially overlap.

[0052] Fifthly, embodiments of this disclosure provide a terminal, comprising: one or more processors; wherein the terminal is configured to execute the communication method of the first aspect.

[0053] In a sixth aspect, embodiments of this disclosure provide a network device comprising: one or more processors; wherein the network device is configured to perform the communication method of the second aspect.

[0054] In a seventh aspect, embodiments of this disclosure provide a communication system including a terminal and a network device, wherein the terminal is configured to implement the communication method of the first aspect of the claim, and the network device is configured to implement the communication method of the second aspect.

[0055] Eighthly, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the method of the first aspect or the second aspect.

[0056] In a ninth aspect, a computer program is provided that, when executed by a communication device, causes the communication device to perform the method of the first aspect or the second aspect.

[0057] In a tenth aspect, embodiments of this disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform any of the communication methods described above.

[0058] It is understood that the aforementioned terminals, network devices, storage media, program products, computer programs, chips, or chip systems are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0059] This disclosure provides embodiments of a communication method, a terminal, a network device, a communication system, and a storage medium. In some embodiments, the terms communication method, information processing method, information sending method, and information receiving method can be used interchangeably.

[0060] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular 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 particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0061] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0062] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0063] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the," "the," "the," "the," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0064] In the embodiments disclosed herein, "multiple" refers to two or more.

[0065] In some embodiments, the terms “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0066] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). The same applies when there are more branches such as A, B, C, etc.

[0067] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execution of A regardless of B); in some embodiments, B (execution of B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, C, etc.

[0068] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0069] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0070] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0071] In some embodiments, the terms “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 lower than,” and “above” can be used interchangeably, as can the terms “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”.

[0072] 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”, “circuit”, “network element”, “node”, “function”, “unit”, “section”, “system”, “network”, “chip”, “chip system”, “entity”, and “subject” can be used interchangeably.

[0073] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0074] In some embodiments, the terms "access network device (AN device)," "radio access network device (RAN device)," "base station (BS)," "radio base station," "fixed station," "node," "access point," "transmission point (TP)," "reception point (RP)," "transmission / reception point (TRP)," "panel," "antenna panel," "antenna array," "cell," "macro cell," "small cell," "femto cell," "pico cell," "sector," "cell group," "serving cell," "carrier," "component carrier," and "bandwidth part (BWP)" can be used interchangeably.

[0075] 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", and "client" can be used interchangeably.

[0076] In some embodiments, access network devices, core network devices, or network devices can be replaced by terminals. For example, embodiments of this disclosure can also be applied to structures where communication between access network devices, core network devices, or network devices and terminals is replaced by communication between multiple terminals (e.g., device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the structure can also be configured such that the terminal has all or part of the functions of the access network device. Furthermore, terms such as "uplink" and "downlink" can be replaced with terms corresponding to communication between terminals (e.g., "sidelink"). For example, uplink channel, downlink channel, etc., can be replaced with sidelink channel, and uplink link, downlink, etc., can be replaced with sidelink link.

[0077] 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, core network device, or network device may also be configured to have all or some of the functions of the terminal.

[0078] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0079] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0080] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0081] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0082] As shown in Figure 1, the communication system 100 includes a terminal 101 and a network device 102.

[0083] In some embodiments, network device 102 sends a reference signal to terminal 101, terminal 101 measures the reference information to obtain layer 1 measurement results, filters the layer 1 measurement results to obtain filtered layer 1 measurement results, and reports a measurement report to network device, and network device performs subsequent communication based on the measurement report.

[0084] The terminal 101 may have time-domain prediction capabilities, for example, it may predict the measurement results in the prediction window based on the measurement results obtained in the observation window.

[0085] In some embodiments, terminal 101 may be user equipment (UE), and terminals include, but are not limited to, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home.

[0086] In some embodiments, network device 102 may include at least one of access network device and core network device.

[0087] In some embodiments, the access network device is, for example, a node or device that connects a terminal to a wireless network. The access network device may include, but is not limited to, at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation eNB (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), radio backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a Wi-Fi system.

[0088] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within access network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0089] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the access network device. Some of the protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0090] In some embodiments, a core network device may be a single device comprising one or more network elements, or it may be multiple devices or a group of devices, each comprising all or part of the aforementioned one or more network elements. Network elements may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), or a Next Generation Core (NGC).

[0091] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0092] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1 are illustrative. The communication system may include all or some of the main bodies in FIG1, or may include other main bodies outside of FIG1. ​​The number and form of each main body are arbitrary. Each main body may be physical or virtual. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0093] The embodiments disclosed herein 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), 6th generation mobile communication system (6G), 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), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), and IEEE 802.20, Ultra-Wideband (UWB), Bluetooth (a 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, systems utilizing other communication methods, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0094] Radio Resource Management (RRM) measurements are crucial for maintaining the performance and reliability of mobile networks. The protocol defines measurement gaps to facilitate measurements at frequency layers different from the serving cell. These measurement gaps are also known as measurement intervals. When a terminal performs a measurement with a measurement gap, the terminal is considered disconnected from the network equipment, and an interrupt is scheduled during each measurement gap.

[0095] For measurements without gaps, scheduling restrictions may occur. The protocol defines scheduling constraints to handle collisions between RRM measurements / Radio Link Monitoring (RLM) / Beam Failure Detection (BFD) / Layer 1-Reference Signal Received Power (L1-RSRP) and Physical Downlink Shared Channel (PDSCH) / Physical Downlink Control Channel (PDCCH) / Physical Uplink Control Channel (PUCCH) / Physical Uplink Shared Channel (PUSCH), Sounding Reference Signal (SRS), Tracking Reference Signal (TRS), and CSI Reference Signal (CSI-RS) for Channel Quality Indication (CQI). The terminal is configured with synchronization signal block-based measurement timing according to the protocol. During the time interval during which the SMTC (Synchronization Signal Control Center) performs measurements based on the Synchronization Signal Block (PSS / SSS PBCH Block, SSB), scheduling constraints apply to the terminal. The network and the terminal have a consistent understanding of the precise location of the SMTC measurement window or SSB / CSI-RS symbol to be measured. For CQI, the terminal does not expect to send PUCCH / PUSCH / SRS or receive PDCCH / PDSCH / TRS / CSI-RS.

[0096] In protocol version Rel-19, research is underway on RRM measurement and event prediction based on artificial intelligence (AI) / machine learning (ML). Time-domain measurement prediction is one of the key directions. For time-domain measurement prediction implemented by the terminal, RRM measurements on specific component carriers (CCs) can be reduced. For example, the terminal can perform actual measurements on CC#1 within a certain time period and then predict the results on CC#1 at future times based on the measurement results. The predicted results do not consume frequency / time resources. In this case, traditional scheduling constraints based on SMTC window definitions and traditional measurement gap applicability rules cannot reflect the actual needs of measurement through prediction and will lead to resource waste, which is detrimental to throughput.

[0097] Based on the potential for new measurement and prediction processes, when a measurement result in the prediction window is predicted, both the observation window and the prediction window shift forward, while some historical measurement results are reused in the prediction operation. New measurement requirements need to be defined to ensure mobility performance.

[0098] In view of this, embodiments of the present disclosure provide a communication method that determines an observation window and a prediction window based on the time-domain prediction capability of a terminal. Since the terminal has a time-domain prediction capability, the terminal can predict the measurement result in the prediction window based on the measurement result obtained by measurement within the observation window. That is, the terminal does not need to perform actual measurement within the prediction window, thereby saving communication resources and improving communication efficiency.

[0099] Figure 2A is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure.

[0100] As shown in Figure 2A, this disclosure relates to a communication method, which includes:

[0101] Step S2101: Determine the observation window and prediction window based on the terminal's first capability.

[0102] The first capability is the terminal's prediction capability in the time domain. The observation window is used by the terminal to perform measurements, and the prediction window is used by the terminal to make predictions based on the measurement results. The observation window and the prediction window partially overlap.

[0103] In some embodiments, the first capability may also be referred to as time-domain prediction capability or time prediction capability, which is not limited in this disclosure.

[0104] In some embodiments, the observation window may also be referred to as the first window, or the first time window, or the observation delay, or the observation period, and this disclosure does not limit it in this way.

[0105] In some embodiments, the prediction window may also be referred to as a second window, a second time window, a prediction delay, or a prediction period, and this disclosure does not limit it in this way.

[0106] In some embodiments, the terminal performs actual measurements within the observation window to obtain measurement results; based on these measurement results, the terminal predicts the measurement results within the prediction window to obtain prediction results. The observation window and prediction window may partially overlap; for example, the prediction window may start within an observation window, end within an observation window, or be located within an observation window.

[0107] In some embodiments, the measurement result obtained by the terminal through actual measurement within the observation window can be referred to as the first information, and the prediction result obtained by the terminal based on the measurement result can be referred to as the second information. That is, the terminal can predict the second information based on the first information.

[0108] In some embodiments, the observation window can be an integer multiple of the measurement period, and the prediction window can be an integer multiple of the measurement period.

[0109] In some embodiments, the measurement period is calculated as follows.

[0110] The measurement period for gap-less intra-frequency measurements within a frequency range (FR) of 1, or intra-frequency measurements without a measurement gap, can be:

[0111] For cases where DRX is not present, the measurement period is max(200ms, ceil(5x K). p )x SMTC cycle) Note 1 x CSSF intra ;

[0112] For DRX cycles ≤ 320ms, the measurement cycle is max(200ms, ceil(1.5 x 5 x K). p )x max(SMTC period, DRX period))x CSSF intra ;

[0113] For DRX periods > 320ms, the measurement period is ceil(5x K). p )x DRX cycle x CSSF intra .

[0114] Among them, K p It is a relaxation factor (also called an adjustment coefficient or scaling factor) to compensate for collisions between SMTC and measurement intervals. ceil() is the floor function. CSSF intra It is the carrier-specific scaling factor (CSSF) corresponding to gap-less / without measurement gap measurements.

[0115] Note 1: If different SMTC cycles are used for different cells, the SMTC cycle refers to the SMTC cycle used during cell identification.

[0116] For gapless, same-frequency measurements of FR2, or same-frequency measurements that do not require a measurement interval, the measurement period can be:

[0117] For cases where DRX is not present, the measurement period is max(400ms, ceil(M)). meas_period_w / o_gaps x K p x K layer1_measurement )x SMTC cycle) Note 1 x CSSF intra ;

[0118] For DRX periods ≤ 320ms, the measurement period is max(400ms, ceil(1.5x M)). meas_period_w / o_gaps x K p x K layer1_measurement )x max(SMTC period, DRX period))x CSSF intra ;

[0119] For DRX periods > 320ms, the measurement period is ceil(M meas_period_w / o_gaps xK p x K layer1_measurement )x DRX cycle x CSSF intra .

[0120] Among them, M meas_period_w / o_gaps K represents a scaling factor related to the number of beam scans and samples on the UE side. layer1_measurement This represents the scaling factor associated with the layer 1 measurement.

[0121] For intermittent same-frequency measurements of FR1, or same-frequency measurements requiring measurement intervals, the measurement period can be:

[0122] For the No DRX case, the measurement period is max(200ms, ceil(5x K)). gap )x max(MGRP,SMTC period))x CSSF intra ;

[0123] For DRX periods ≤ 320ms, the measurement period is max(200ms, ceil(1.5x5xK). gap )x max(MGRP, SMTC period, DRX period))x CSSF intra ;

[0124] For DRX periods > 320ms, the measurement period is Ceil(5x K). gap )x max(MGRP, DRX period)x CSSF intra .

[0125] Among them, CSSF intra It corresponds to the carrier-specific scaling factor for performing measurements within the measurement interval, and Kgap is an adjustment factor that takes into account the correlation of the measurement intervals.

[0126] For intermittent same-frequency measurements of FR2, or same-frequency measurements requiring measurement intervals, the measurement period can be:

[0127] For cases where DRX is not present, the measurement period is max(400ms, ceil(Mmeas_period with_gaps x K). gap )x max(MGRP,SMTC period))x CSSF intra ;

[0128] For DRX periods ≤ 320ms, the measurement period is max(400ms, ceil(1.5xMmeas_period with_gaps x K). gap )x max(MGRP, SMTC period, DRX period)) Note 1 x CSSF intra ;

[0129] For DRX periods > 320ms, the measurement period is Ceil(Mmeas_period with_gapsx K). gap )x max(MGRP,DRX period)xCSSF intra .

[0130] Among them, CSSF intra It is a carrier-specific scaling factor corresponding to the measurement performed within the measurement interval. Kgap is an adjustment factor that takes into account the related measurement intervals. Mmeas_period with_gaps represents a scaling factor related to the number of beam scans and samples on the UE side.

[0131] In an exemplary embodiment, the first capability includes the ability to predict second information based on first information, wherein the first information is M filtered layer 1 measurement results and the second information is N filtered layer 1 measurement results, where M and N are both positive integers; the observation window is (M×(N+1)-N) times the measurement period; and the prediction window is N times the measurement period.

[0132] Each filtered Layer 1 measurement result is obtained based on each of the above measurement cycles. The Layer 1 measurement result may include at least one of L1 measurement results, namely L1-RSRP, L1-RSRQ, and L1-SINR.

[0133] In one example, the terminal can predict N filtered Layer 1 measurement results based on M filtered Layer 1 measurement results. In this case, the observation window is (M×(N+1)-N) times the measurement period; the prediction window is N times the measurement period.

[0134] In this example, the observation window is calculated as follows.

[0135] For gapless, same-frequency measurements of FR1, or same-frequency measurements that do not require measurement intervals, the observation window can be:

[0136] For cases where DRX is not present, the observation window is max(200ms, ceil(K)). observation_window x5xK p )x SMTC cycle) Note 1 x CSSF intra ;

[0137] For DRX periods ≤ 320ms, the observation window is max(200ms, ceil(1.5x K)). observation_window x 5x K p )x max(SMTC period, DRX period))x CSSF intra ;

[0138] For DRX periods > 320ms, the observation window is ceil(K). observation_window x 5x K p )x DRX cycle x CSSF intra ;

[0139] K observation_window =M×(N+1)-N.

[0140] Among them, K observation_window This represents the relaxation factor (also known as the adjustment coefficient) of the observation window.

[0141] For gapless, same-frequency measurements of FR2, or same-frequency measurements that do not require measurement intervals, the observation window can be:

[0142] For cases where DRX is not present, the observation window is max(400ms, ceil(K)). observation_window x M meas_period_w / o_gaps x K p x K layer1_measurement )x SMTC cycle) Note 1 x CSSF intra ;

[0143] For DRX periods ≤ 320ms, the observation window is max(400ms, ceil(K)). observation_window x 1.5x M meas_period_w / o_gaps x K p x K layer1_measurement )x max(SMTC period, DRX period))x CSSF intra ;

[0144] For DRX periods > 320ms, the observation window is ceil(K). observation_window x M meas_period_w / o_gaps xK p x K layer1_measurement )x DRX cycle x CSSF intra ;

[0145] K observation_window =M×(N+1)-N.

[0146] For FR1, the observation window for intermittent frequency measurements, or for intermittent frequency measurements without measurement intervals, can be:

[0147] For cases where DRX is not present, the observation window is max(200ms, ceil(K)). observation_window x 5x K gap )x max(MGRP,SMTC period))x CSSF intra ;

[0148] For DRX periods ≤ 320ms, the observation window is max(200ms, ceil(K)). observation_window x 1.5x5x K gap )x max(MGRP, SMTC period, DRX period))x CSSF intra ;

[0149] For DRX periods > 320ms, the observation window is Ceil(K). observation_window x 5x K gap )x max(MGRP, DRX period)x CSSF intra ;

[0150] K observation_window =M×(N+1)-N.

[0151] For intermittent frequency measurements of FR2, or intermittent frequency measurements without measurement intervals, the observation window can be:

[0152] For cases where DRX is not present, the observation window is max(400ms, ceil(K)). observation_window x Mmeas_period with_gaps x K gap )x max(MGRP,SMTC period))x CSSF intra ;

[0153] For DRX periods ≤ 320ms, the observation window is max(400ms, ceil(K)). observation_window x 1.5xMmeas_period with_gaps x K gap )x max(MGRP, SMTC period, DRX period)) Note 1 x CSSF intra ;

[0154] For DRX periods > 320ms, the observation window is Ceil(K). observation_window x Mmeas_period with_gapsx K gap )x max(MGRP, DRX period)x CSSF intra ;

[0155] K observation_window =M×(N+1)-N.

[0156] In this example, the observation window can also be directly multiplied by (M×(N+1)-N) based on the above measurement period.

[0157] In this example, the prediction window is calculated as follows.

[0158] For gapless, same-frequency measurements of FR1, or same-frequency measurements that do not require a measurement interval, the prediction window can be:

[0159] For cases where DRX is not present, the prediction window is max(200ms, ceil(N x 5 x K). p )x SMTC cycle) Note 1 x CSSF intra ;

[0160] For DRX periods ≤ 320ms, the prediction window is max(200ms, ceil(1.5x N x 5x K). p )x max(SMTC period, DRX period))x CSSF intra ;

[0161] For DRX periods > 320ms, the prediction window is ceil(N x 5 x K). p )x DRX cycle x CSSF intra .

[0162] For gapless, same-frequency measurements of FR2, or same-frequency measurements that do not require a measurement interval, the prediction window can be:

[0163] For the case where DRX is not present, the prediction window is max(400ms, ceil(N x M)). meas_period_w / o_gaps x K p x K layer1_measurement )x SMTC cycle) Note 1 x CSSF intra ;

[0164] For DRX periods ≤ 320ms, the prediction window is max(400ms, ceil(N x 1.5x M)). meas_period_w / o_gaps x K p x K layer1_measurement )x max(SMTC period, DRX period))x CSSF intra ;

[0165] For DRX periods > 320ms, the prediction window is ceil(N x M). meas_period_w / o_gaps xK p x K layer1_measurement )x DRX cycle x CSSF intra .

[0166] For intermittent in-frequency measurements of FR1, or in-frequency measurements without measurement intervals, the prediction window can be:

[0167] For the case without DRX, the prediction window is max(200ms, ceil(N x 5x K)). gap )x max(MGRP,SMTC period))x CSSF intra ;

[0168] For DRX periods ≤ 320ms, the prediction window is max(200ms, ceil(N x 1.5x5x K). gap )x max(MGRP, SMTC period, DRX period))x CSSF intra ;

[0169] For DRX periods > 320ms, the prediction window is Ceil(N x 5x K). gap )x max(MGRP, DRX period)x CSSF intra .

[0170] For intermittent in-frequency measurements of FR2, or in-frequency measurements without measurement intervals, the prediction window can be:

[0171] For the case where DRX is not present, the prediction window is max(400ms, ceil(N x Mmeas_period with_gaps x K). gap )x max(MGRP,SMTC period))x CSSF intra ;

[0172] For DRX periods ≤ 320ms, the prediction window is max(400ms, ceil(N x 1.5xMmeas_period with_gaps x K)). gap )x max(MGRP, SMTC period, DRX period)) Note 1 x CSSF intra ;

[0173] For DRX periods > 320ms, the prediction window is Ceil(N x Mmeas_period with_gapsx K). gap )x max(MGRP, DRX period)x CSSF intra .

[0174] In this example, the prediction window can also be directly multiplied by N based on the measurement period mentioned above.

[0175] Figure 2B is a schematic diagram of the observation window and prediction window according to an example.

[0176] The following explanation will be based on Figure 2B, with M being 3 and N being 1 as an example, but this disclosure does not limit the numerical values ​​of M and N.

[0177] In Figure 2B, the interval between adjacent boxes represents one measurement cycle. Solid boxes indicate time-domain locations where actual measurements are performed and the results are used for prediction, while dashed boxes indicate time-domain locations where actual measurements should have been performed but were not. The boxes can represent the duration of multiple SMTC windows or the duration of measurement intervals.

[0178] Referring to Figure 2B, for example, the terminal can predict one filtered measurement result based on three filtered layer 1 measurement results. In this case, the observation window can be (3×(1+1)-1) times the measurement period, that is, the observation window is 5 times the measurement period, and the prediction window can be 1 time the measurement period, that is, the prediction window and the measurement period have the same length.

[0179] In other words, the terminal can perform measurements based on the observation window to obtain three filtered Layer 1 measurement results; and then predict one filtered Layer 1 measurement result within the prediction window based on these three filtered Layer 1 measurement results.

[0180] Figure 2C is a schematic diagram of the observation window and prediction window according to another example.

[0181] The following explanation uses Figure 2C as an example, with M = 3 and N = 2. However, this disclosure does not limit the numerical values ​​of M and N.

[0182] In Figure 2C, the interval between adjacent boxes represents one measurement cycle. Solid boxes indicate time-domain locations where actual measurements are performed and the results are used for prediction, while dashed boxes indicate time-domain locations where actual measurements should have been performed but were not. The boxes can represent the duration of multiple SMTC windows or the duration of measurement intervals.

[0183] Referring to Figure 2C, for example, the terminal can predict two filtered measurement results based on three filtered layer 1 measurement results. In this case, the observation window can be (3×(2+1)-2) times the measurement period, that is, the observation window is 7 times the measurement period, and the prediction window can be 2 times the measurement period.

[0184] In other words, the terminal can perform measurements based on the observation window to obtain three filtered Layer 1 measurement results; and then predict the two filtered Layer 1 measurement results within the prediction window based on these three filtered Layer 1 measurement results.

[0185] In some embodiments, a terminal may report a first capability to a network device, and the network device may send indication information to the terminal based on the first capability reported by the terminal. The indication information is used to indicate a second capability, wherein the second capability may be equal to or less than the first capability.

[0186] In one example, the first capability is represented based on a first value and a second value, where the first value is M and the second value is N.

[0187] In this example, the first capability can be [M, N].

[0188] In another example, the first capability is based on a third numerical value, which is the ratio between M and N.

[0189] In this example, the first capability can be M / N. As a special case, the first capability can be reported as an integer, and the prediction window can be treated as the same as the measurement period, i.e., N can be defaulted to 1.

[0190] In some embodiments, the measurement result obtained by the terminal through actual measurement within the observation window can be referred to as third information, and the prediction result obtained by the terminal based on the measurement result can be referred to as fourth information. That is, the terminal can predict fourth information based on third information.

[0191] In some embodiments, the observation window can be an integer multiple of the sampling period, and the prediction window can be an integer multiple of the sampling period.

[0192] In some embodiments, the sampling period is an integer multiple of the SMTC period, or an integer multiple of the MGRP. For measurements without measurement gaps, the sampling period depends on the duration of the SMTC window. For measurements with measurement gaps, the sampling period depends on the timing of the measurement gap.

[0193] In some embodiments, the sampling period is calculated as follows.

[0194] For gapless, same-frequency measurements of FR1, or same-frequency measurements that do not require a measurement interval, the sampling period can be:

[0195] For the case where DRX is not present, the sampling period is K. p x SMTC cycle x CSSF intra ;

[0196] For DRX periods ≤ 320ms, the sampling period is 1.5x K. p x max(SMTC period, DRX period) x CSSF intra ;

[0197] For DRX periods > 320ms, the sampling period is K. p x DRX cycle x CSSF intra .

[0198] For gapless, same-frequency measurements of FR2, or same-frequency measurements that do not require a measurement interval, the sampling period can be:

[0199] For cases where DRX is not present, the sampling period is ceil(M) meas_period_w / o_gaps / 5x K p x K layer1_measurement )x SMTC cycle x CSSF intra ;

[0200] For DRX periods ≤ 320ms, the sampling period is ceil(1.5 x M). meas_period_w / o_gaps / 5x K p x K layer1_measurement )x max(SMTC period, DRX period)x CSSF intra ;

[0201] For DRX periods > 320ms, the sampling period is ceil(M meas_period_w / o_gaps / 5xK p x K layer1_measurement )x DRX cycle x CSSF intra .

[0202] For intermittent same-frequency measurements of FR1, or same-frequency measurements without measurement intervals, the sampling period can be:

[0203] For the case where DRX is not present, the sampling period is K. gap x max(MGRP, SMTC period) x CSSF intra ;

[0204] For DRX periods ≤ 320ms, the sampling period is 1.5x K. gap x max(MGRP, SMTC period, DRX period) x CSSF intra ;

[0205] For DRX periods > 320ms, the sampling period is K. gap x max(MGRP, DRX period) x CSSF intra .

[0206] For intermittent frequency measurements of FR2, or intermittent frequency measurements without measurement intervals, the sampling period can be:

[0207] For cases where DRX is not present, the sampling period is ceil(Mmeas_period with_gaps / 5x K). gap )x max(MGRP,SMTC period)x CSSF intra ;

[0208] For DRX periods ≤ 320ms, the sampling period is ceil(1.5x Mmeas_period with_gaps / 5x K). gap )x max(MGRP, SMTC period, DRX period)x CSSF intra ;

[0209] For DRX periods > 320ms, the sampling period is Ceil(Mmeas_period with_gaps / 5x K). gap )x max(MGRP, DRX period)x CSSF intra .

[0210] In an exemplary embodiment, the first capability includes the ability to predict fourth information based on third information, wherein the third information consists of P unfiltered Layer 1 measurement results and the fourth information consists of Q unfiltered Layer 1 measurement results, where P and Q are both positive integers; the observation window is (P×(Q+1)-Q) times the sampling period; and the prediction window is Q times the sampling period.

[0211] The measurement result for each unfiltered layer 1 is obtained based on each of the above sampling periods.

[0212] In one example, the terminal can predict Q unfiltered Layer 1 measurements based on P unfiltered Layer 1 measurements. In this case, the observation window is (P×(Q+1)-Q) times the above sampling period; the prediction window is Q times the above sampling period.

[0213] Figure 2D is a schematic diagram of the observation window and prediction window as illustrated in another example.

[0214] Referring to Figure 2D below, the following explanation will be given with P = 3 and Q = 1 as an example, but this disclosure does not limit the numerical values ​​of P and Q.

[0215] In Figure 2D, the interval between adjacent boxes is one sampling period. Solid boxes represent time-domain locations where actual measurements are performed and the results are used for prediction, while dashed boxes represent time-domain locations where actual measurements should have been performed but were not.

[0216] Referring to Figure 2D, for example, the terminal can predict one unfiltered measurement result based on three unfiltered layer 1 measurement results. In this case, the observation window can be (3×(1+1)-1) times the sampling period, that is, the observation window is 5 times the sampling period, and the prediction window can be 1 time the sampling period, that is, the prediction window and the sampling period have the same length.

[0217] In other words, the terminal can perform measurements based on the observation window to obtain three unfiltered Layer 1 measurement results; and then predict one unfiltered Layer 1 measurement result within the prediction window based on these three unfiltered Layer 1 measurement results.

[0218] Figure 2E is a schematic diagram of the observation window and prediction window as illustrated in another example.

[0219] Referring to Figure 2E, the following explanation will be given with P = 3 and Q = 2 as an example, but this disclosure does not limit the numerical values ​​of P and Q.

[0220] In Figure 2E, the interval between adjacent boxes is one sampling period. Solid boxes represent time-domain locations where actual measurements are performed and the results are used for prediction, while dashed boxes represent time-domain locations where actual measurements should have been performed but were not.

[0221] Referring to Figure 2E, for example, the terminal can predict two unfiltered measurement results based on three unfiltered layer 1 measurement results. In this case, the observation window can be (3×(2+1)-2) times the sampling period, that is, the observation window is 7 times the sampling period, and the prediction window can be 2 times the sampling period.

[0222] In other words, the terminal can perform measurements based on the observation window to obtain three unfiltered Layer 1 measurement results; and then predict the two unfiltered Layer 1 measurement results within the prediction window based on these three unfiltered Layer 1 measurement results.

[0223] In some embodiments, a terminal may report a first capability to a network device, and the network device may send indication information to the terminal based on the first capability reported by the terminal. The indication information is used to indicate a second capability, wherein the second capability may be equal to or less than the first capability.

[0224] In one example, the first capability is represented based on a fourth and a fifth value, where the first value is P and the second value is Q.

[0225] In this example, the first capability can be [P,Q].

[0226] In another example, the first capability is represented by the sixth value, and the third value is the ratio between P and Q.

[0227] In this example, the first capability can be P / Q. As a special case, the first capability can be reported as an integer, and the prediction window can be treated as being the same as the sampling period, i.e., Q can be defaulted to 1.

[0228] In some embodiments, the measurement result obtained by the terminal through actual measurement within the observation window can be referred to as the fifth information, and the prediction result obtained by the terminal based on the measurement result can be referred to as the sixth information. That is, the terminal can predict the sixth information based on the fifth information.

[0229] In an exemplary embodiment, the first capability includes the ability to predict sixth information based on fifth information, wherein the fifth information consists of K unfiltered Layer 1 measurement results and the sixth information consists of one filtered Layer 1 measurement result, where K is a positive integer; the observation window is K times the sampling period; and the prediction window is the same as the measurement period.

[0230] The measurement result for each unfiltered layer 1 is obtained based on each of the above sampling periods.

[0231] In step S2102, the terminal obtains a measurement report based on the observation window and the prediction window.

[0232] In some embodiments, the terminal performs actual measurements within an observation window to obtain measurement results; based on these measurement results, the terminal predicts the measurement results within a prediction window to obtain prediction results. The terminal then generates a measurement report based on the measurement results and the prediction results.

[0233] Step S2103: The terminal sends a measurement report to the network device.

[0234] In some embodiments, the network device receives a measurement report sent by the terminal.

[0235] The measurement report includes measurement results based on the observation window and prediction results based on the prediction window.

[0236] In this embodiment of the disclosure, the measurement report delay can be the time between the event that triggers the measurement report and the time between the terminal starting to transmit the measurement report over the air interface.

[0237] The communication method involved in the embodiments of this disclosure may include at least one of steps S2101 to S2103. For example, step S2101 may be implemented as a standalone embodiment, but is not limited thereto.

[0238] In some embodiments, step S2102 is optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0239] In some embodiments, step S2103 is optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0240] In some embodiments, other alternative implementations may be described before or after the specification corresponding to FIG2A.

[0241] In some embodiments, the names of information, etc., are not limited to the names described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0242] In some embodiments, terms such as “moment,” “point in time,” “time,” and “time location” can be used interchangeably, as can terms such as “duration,” “segment,” “time window,” “window,” and “time.”

[0243] In some embodiments, “get,” “obtain,” “get,” “receive,” “transmit,” “bidirectional transmission,” and “send and / or receive” can be used interchangeably and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining through self-processing, or autonomous implementation, among other meanings.

[0244] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transmit,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0245] In some embodiments, terms such as "certain," "preset," "default," "set," "indicated," "a certain," "any," and "first" can be used interchangeably. "Certain A," "preset A," "default A," "set A," "indicated A," "a certain A," "any A," and "first A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.

[0246] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value (bool)) represented by true or false, or by a numerical comparison (e.g., a comparison with a predetermined value), but is not limited thereto.

[0247] In some embodiments, "not expecting to receive" can be interpreted as not receiving on time domain resources and / or frequency domain resources, or as not performing subsequent processing on the data after receiving it; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the receiver to respond to the sent content.

[0248] Figure 3 is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3, the present disclosure relates to a communication method, which includes:

[0249] Step S3101: Determine the observation window and prediction window based on the terminal's first capability.

[0250] In some embodiments, the first capability is the terminal's prediction capability in the time domain, the observation window is used for the terminal to perform measurements, the prediction window is used for the terminal to make predictions based on the measurement results, and the observation window and the prediction window partially overlap.

[0251] The optional implementation of step S3101 can be found in the optional implementation of step S2101 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0252] Step S3102: Based on the observation window and the prediction window, a measurement report is obtained.

[0253] The optional implementation of step S3102 can be found in the optional implementation of step S2102 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0254] Step S3103: Send a measurement report to the network device.

[0255] In some embodiments, the terminal sends a measurement report to the network device.

[0256] The optional implementation of step S3103 can be found in the optional implementation of step S2103 in Figure 2A and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0257] The communication method involved in the embodiments of this disclosure may include at least one of steps S3101 to S3103. For example, step S3101 may be implemented as a standalone embodiment, but is not limited thereto.

[0258] In some embodiments, step S3102 is optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0259] In some embodiments, step S3103 is optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0260] Figure 4 is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 4, the present disclosure relates to a communication method, which includes:

[0261] Step S4101: Receive the measurement report sent by the terminal.

[0262] In some embodiments, the network device receives a measurement report sent by the terminal.

[0263] The optional implementation of step S4101 can be found in the optional implementation of step S2103 in Figure 2A, and other related parts in the embodiments involved in Figure 2A, which will not be repeated here.

[0264] This disclosure provides a communication method that defines a measurement or prediction period for a UE capable of performing RRM measurement prediction, defines a time period for an observation window for a UE capable of performing RRM measurement prediction, and defines a time period for a prediction window for a UE capable of performing RRM measurement prediction.

[0265] In this embodiment of the disclosure, the observation window and the prediction window are defined based on the UE's time prediction capability.

[0266] Option 1: UEs that support time-domain prediction capabilities can predict N filtered L1 measurement results based on M historical filtered L1 measurement results.

[0267] In this embodiment, a periodic pattern consisting of an observation window and a prediction window is introduced. The length of this periodic window is the total length of the observation window and the prediction window. The first part of this periodic window is the observation window, and the second part is the prediction window.

[0268] The filtered L1 measurement results are obtained according to each measurement cycle defined in protocol TS 38.133.

[0269] The measurement period for intra-frequency measurements of FR1 without gap is defined as follows:

[0270] For cases where DRX is not present, the measurement period is max(200ms, ceil(5x K). p )x SMTC cycle) Note 1 x CSSF intra ;

[0271] For DRX periods ≤ 320ms, the measurement period is max(200ms, ceil(1.5 x 5 x K). p )x max(SMTC period, DRX period))x CSSF intra ;

[0272] For DRX periods > 320ms, the measurement period is ceil(5x K). p )x DRX cycle x CSSF intra .

[0273] The measurement period for gapless, same-frequency measurements of FR2 is defined as follows:

[0274] For cases where DRX is not present, the measurement period is max(400ms, ceil(M)). meas_period_w / o_gaps x K p x K layer1_measurement )x SMTC cycle) Note 1 x CSSF intra ;

[0275] For DRX periods ≤ 320ms, the measurement period is max(400ms, ceil(1.5x M)). meas_period_w / o_gaps x K p x K layer1_measurement )x max(SMTC period, DRX period))x CSSF intra ;

[0276] For DRX periods > 320ms, the measurement period is ceil(M meas_period_w / o_gaps xK p x K layer1_measurement )x DRX cycle x CSSF intra .

[0277] The measurement period for gapped, same-frequency measurements of FR1 is defined as follows:

[0278] For the No DRX case, the measurement period is max(200ms, ceil(5x K)). gap )x max(MGRP,SMTC period))x CSSF intra ;

[0279] For DRX periods ≤ 320ms, the measurement period is max(200ms, ceil(1.5x5xK). gap )x max(MGRP, SMTC period, DRX period))x CSSF intra ;

[0280] For DRX periods > 320ms, the measurement period is Ceil(5x K). gap )x max(MGRP, DRX period)x CSSF intra .

[0281] The measurement period for gapped, same-frequency measurements of FR2 is defined as follows:

[0282] For cases where DRX is not present, the measurement period is max(400ms, ceil(Mmeas_period with_gaps x K). gap )x max(MGRP,SMTC period))x CSSF intra ;

[0283] For DRX periods ≤ 320ms, the measurement period is max(400ms, ceil(1.5xMmeas_period with_gaps x K). gap )x max(MGRP, SMTC period, DRX period)) Note 1 x CSSF intra ;

[0284] For DRX periods > 320ms, the measurement period is Ceil(Mmeas_period with_gapsx K). gap )x max(MGRP, DRX period)x CSSF intra .

[0285] The observation window described above represents the duration during which the UE actually performs measurements. During the observation window, the UE obtains the measurement result in each measurement cycle, i.e., the filtered L1 measurement result. The prediction window described above represents the duration during which the UE obtains a predicted measurement result based on the historical measurement results within the observation window, without requiring actual measurements from the UE. In other words, both the observation window and the prediction window are multiples of the measurement cycle.

[0286] Option 1a: Capabilities can be [M, N]. The observation window is defined as (M*(N+1)-N) times the measurement period, and the prediction window is defined as N times the measurement period. An example of an implementation is as follows:

[0287] The observation window for gapless, in-frequency measurements of FR1 will be defined as follows:

[0288] For cases where DRX is not present, the observation window is max(200ms, ceil(K)). observation_window x5xK p )x SMTC cycle) Note 1 x CSSF intra ;

[0289] For DRX periods ≤ 320ms, the observation window is max(200ms, ceil(1.5x K)). observation_window x 5x K p )x max(SMTC period, DRX period))x CSSF intra ;

[0290] For DRX periods > 320ms, the observation window is ceil(K). observation_window x 5x K p )x DRX cycle x CSSF intra ;

[0291] K observation_window =M*(N+1)-N.

[0292] The prediction window for gapless, same-frequency measurements of FR1 will be defined as follows:

[0293] For cases where DRX is not present, the prediction window is max(200ms, ceil(N x 5x K). p )x SMTC cycle) Note 1 x CSSF intra ;

[0294] For DRX periods ≤ 320ms, the prediction window is max(200ms, ceil(1.5x N x 5x K). p )x max(SMTC period, DRX period))x CSSF intra ;

[0295] For DRX periods > 320ms, the prediction window is ceil(N x 5 x K). p )x DRX cycle x CSSF intra .

[0296] Option 1b: The capability can be M / N. Then, the observation window is defined as (M*(N+1)-N) times the measurement period, and the prediction window is defined as N times the measurement period. As a special case, the capability can be reported as an integer, and the prediction window can be treated as the same as the measurement period.

[0297] Option 2: UEs supporting time-domain prediction capabilities can predict Q unfiltered L1 measurements based on P unfiltered L1 measurements. A periodic pattern consisting of an observation window and a prediction window is introduced. The length of this periodic window is the total length of the observation and prediction windows. The first part of this periodic window is the observation window, and the second part is the prediction window.

[0298] The unfiltered L1 measurement results described above are obtained in each sampling period. For measurements without measurement gaps, the sampling period mainly depends on the duration of the SMTC window. For measurements with measurement gaps, the sampling period mainly depends on the timing of the measurement gaps. An example of an embodiment is shown below:

[0299] For gapless in-frequency measurements of FR1, the sampling period at a specific frequency level is defined as:

[0300] For the case where DRX is not present, the sampling period is K. p x SMTC cycle x CSSF intra ;

[0301] For DRX periods ≤ 320ms, the sampling period is 1.5x K. p x max(SMTC period, DRX period) x CSSF intra ;

[0302] For DRX periods > 320ms, the sampling period is K. p x DRX cycle x CSSF intra .

[0303] For gapless in-frequency measurements of FR2, the sampling period at a specific frequency level is defined as:

[0304] For cases where DRX is not present, the sampling period is ceil(M) meas_period_w / o_gaps / 5x K p x K layer1_measurement )x SMTC cycle x CSSF intra ;

[0305] For DRX periods ≤ 320ms, the sampling period is ceil(1.5 x M). meas_period_w / o_gaps / 5x K p x K layer1_measurement )x max(SMTC period, DRX period)x CSSF intra ;

[0306] For DRX periods > 320ms, the sampling period is ceil(M meas_period_w / o_gaps / 5xK p x K layer1_measurement )x DRX cycle x CSSF intra .

[0307] For gapped in-frequency measurements of FR1, the sampling period at a specific frequency level is defined as:

[0308] For the case where DRX is not present, the sampling period is K. gap x max(MGRP, SMTC period) x CSSF intra ;

[0309] For DRX periods ≤ 320ms, the sampling period is 1.5x K. gap x max(MGRP, SMTC period, DRX period) x CSSF intra ;

[0310] For DRX periods > 320ms, the sampling period is K. gap x max(MGRP, DRX period) x CSSF intra .

[0311] For gapped in-frequency measurements of FR2, the sampling period at a specific frequency level is defined as:

[0312] For cases where DRX is not present, the sampling period is ceil(Mmeas_period with_gaps / 5x K). gap )x max(MGRP,SMTC period)x CSSF intra ;

[0313] For DRX periods ≤ 320ms, the sampling period is ceil(1.5x Mmeas_period with_gaps / 5x K). gap )x max(MGRP, SMTC period, DRX period)x CSSF intra ;

[0314] For DRX periods > 320ms, the sampling period is Ceil(Mmeas_period with_gaps / 5x K). gap )x max(MGRP, DRX period)x CSSF intra .

[0315] The observation window described above represents the duration during which the UE actually performs the measurement. The prediction window described above represents the duration during which the UE obtains a predicted measurement result based on historical measurement results within the observation window, even though the UE does not need to perform the actual measurement. In this case, both the observation window and the prediction window are multiples of the sampling period.

[0316] Option 2a: Capabilities can be [P, Q]. The observation window is defined as (P*(Q+1)-Q) times the sampling period, and the prediction window is defined as Q times the sampling period.

[0317] Option 2b: Capability can be P / Q. The observation window is defined as (P*(Q+1)-Q) times the sampling period, and the prediction window is defined as Q times the sampling period.

[0318] Option 3: UEs supporting time-domain prediction capabilities can predict one filtered L1 measurement result based on K unfiltered L1 measurements. A periodic pattern consisting of an observation window and a prediction window is introduced. The length of this periodic window is the total length of the observation and prediction windows. The first part of this periodic window is the observation window, and the second part is the prediction window.

[0319] The filtered L1 measurement results described above were obtained for each measurement period as defined in protocol TS 38.133. The observation window is defined as K times the sampling period, and the prediction window is defined as the same as the measurement period.

[0320] In this embodiment of the disclosure, the UE is allowed to send a measurement report containing the predicted measurement results, provided that the accuracy requirements are met. The measurement report delay is defined as the time between the event that triggers the measurement report and the time between the UE starting to transmit the measurement report through the air interface.

[0321] In this embodiment of the disclosure, the L1 measurement results can refer to L1-RSRP, L1-RSRQ (Reference Signal Received Quality), or L1-SINR (Signal to Interference plus Noise Ratio).

[0322] In this embodiment of the disclosure, the observation window may also be referred to as the observation delay or the observation period.

[0323] In this embodiment of the disclosure, the prediction window may also be referred to as the prediction delay or prediction period.

[0324] This disclosure also provides an apparatus for implementing any of the above methods. For example, an apparatus is provided that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Alternatively, another apparatus is provided that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0325] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC). The functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a programmable logic device (PLD). Taking a field-programmable gate array (FPGA) as an example, it can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0326] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using 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 document and configuring the hardware circuit 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. Furthermore, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a Neural Network Processing Unit (NPU), a Tensor Processing Unit (TPU), or a Deep Learning Processing Unit (DPU).

[0327] Figure 5A is a schematic diagram of the structure of a terminal proposed in an embodiment of this disclosure. As shown in Figure 5A, the terminal 5100 may include a processing module 5101. In some embodiments, the processing module 5101 is used to determine an observation window and a prediction window based on a first capability of the terminal.

[0328] In some embodiments, the terminal may further include a transceiver module.

[0329] In some embodiments, the first capability includes the ability to predict second information based on first information, wherein the first information is M filtered layer 1 measurement results and the second information is N filtered layer 1 measurement results, where M and N are both positive integers; the observation window is (M×(N+1)-N) times the measurement period; and the prediction window is N times the measurement period.

[0330] In some embodiments, the first capability is represented based on a first value and a second value, where the first value is M and the second value is N.

[0331] In some embodiments, the first capability is represented based on a third numerical value, which is the ratio between M and N.

[0332] In some embodiments, the first capability includes the ability to predict fourth information based on third information, wherein the third information consists of P unfiltered Layer 1 measurement results and the fourth information consists of Q unfiltered Layer 1 measurement results, where P and Q are both positive integers; the observation window is (P×(Q+1)-Q) times the sampling period; and the prediction window is Q times the sampling period.

[0333] In some embodiments, the first capability is represented based on a fourth value and a fifth value, wherein the fourth value is P and the fifth value is Q.

[0334] In some embodiments, the first capability is represented based on a sixth numerical value, which is the ratio between P and Q.

[0335] In some embodiments, the first capability includes the ability to predict sixth information based on fifth information, wherein the fifth information is K unfiltered Layer 1 measurement results and the sixth information is one filtered Layer 1 measurement result, where K is a positive integer; the observation window is K times the sampling period; and the prediction window is the same as the measurement period.

[0336] In some embodiments, the sampling period is an integer multiple of the Synchronous Signal Block Measurement Timing Configuration (SMTC) period, or the sampling period is an integer multiple of the Measurement Interval Repetition Period (MGRP).

[0337] In some embodiments, the transceiver module is used to send a measurement report to a network device; wherein the measurement report includes measurement results obtained based on the observation window and prediction results obtained based on the prediction window.

[0338] Figure 5B is a schematic diagram of the structure of a network device according to an embodiment of this disclosure. As shown in Figure 5B, the network device 5200 may include a transceiver module 5201. In some embodiments, the transceiver module 5201 is used to receive measurement reports sent by a terminal.

[0339] In some embodiments, the network device may further include a processing module.

[0340] In some embodiments, the first capability includes the ability to predict second information based on first information, wherein the first information is M filtered layer 1 measurement results and the second information is N filtered layer 1 measurement results, where M and N are both positive integers; the observation window is (M×(N+1)-N) times the measurement period; and the prediction window is N times the measurement period.

[0341] In some embodiments, the first capability is represented based on a first value and a second value, where the first value is M and the second value is N.

[0342] In some embodiments, the first capability is represented based on a third numerical value, which is the ratio between M and N.

[0343] In some embodiments, the first capability includes the ability to predict fourth information based on third information, wherein the third information consists of P unfiltered Layer 1 measurement results and the fourth information consists of Q unfiltered Layer 1 measurement results, where P and Q are both positive integers; the observation window is (P×(Q+1)-Q) times the sampling period; and the prediction window is Q times the sampling period.

[0344] In some embodiments, the first capability is represented based on a fourth value and a fifth value, wherein the fourth value is P and the fifth value is Q.

[0345] In some embodiments, the first capability is represented based on a sixth numerical value, which is the ratio between P and Q.

[0346] In some embodiments, the first capability includes the ability to predict sixth information based on fifth information, wherein the fifth information is K unfiltered Layer 1 measurement results and the sixth information is one filtered Layer 1 measurement result, where K is a positive integer; the observation window is K times the sampling period; and the prediction window is the same as the measurement period.

[0347] In some embodiments, the sampling period is an integer multiple of the Synchronous Signal Block Measurement Timing Configuration (SMTC) period, or the sampling period is an integer multiple of the Measurement Interval Repetition Period (MGRP).

[0348] Figure 6A is a schematic diagram of the structure of the communication device 6100 proposed in an embodiment of this disclosure. The communication device 6100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment, etc.), a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 6100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0349] As shown in Figure 6A, the communication device 6100 includes one or more processors 6101. The processor 6101 can be a general-purpose processor or a dedicated processor, such as a baseband processor or a central processing unit (CPU). The baseband processor can be used to process communication protocols and communication data, while the CPU can be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. Optionally, the communication device 6100 can be used to execute any of the above methods. Optionally, one or more processors 6101 can be used to invoke instructions to cause the communication device 6100 to execute any of the above methods.

[0350] In some embodiments, the communication device 6100 further includes one or more transceivers 6102. When the communication device 6100 includes one or more transceivers 6102, the transceiver 6102 performs at least one of the communication steps such as sending and / or receiving in the above method, and the processor 6101 performs at least one of the other steps. In optional embodiments, the transceiver may include a receiver and / or a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc., can be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., can be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., can be used interchangeably.

[0351] In some embodiments, the communication device 6100 further includes one or more memories 6103 for storing data. Optionally, all or part of the memories 6103 may be located outside the communication device 6100. In optional 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 can be used to receive data from the memories 6103 or other devices, and to send data to the memories 6103 or other devices. For example, the interface circuits 6104 can read data stored in the memories 6103 and send that data to the processor 6101.

[0352] The communication device 6100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 6100 described in this disclosure is not limited thereto, and the structure of the communication device 6100 may not be limited by FIG. 6A. The communication device may be a standalone device or a part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (6) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (7) others, etc.

[0353] Figure 6B is a schematic diagram of the structure of chip 6200 according to an embodiment of this disclosure. For cases where the communication device 6100 can be a chip or a chip system, please refer to the schematic diagram of chip 6200 shown in Figure 6B, but it is not limited thereto.

[0354] Chip 6200 includes one or more processors 6201. Chip 6200 is used to perform any of the methods described above.

[0355] In some embodiments, chip 6200 further includes one or more interface circuits 6202. Optionally, terms such as interface circuit, interface, and transceiver pin can be used interchangeably. In some embodiments, chip 6200 further includes one or more memories 6203 for storing data. Optionally, all or part of the memories 6203 may be located outside chip 6200. Optionally, interface circuit 6202 is connected to memory 6203, and interface circuit 6202 can be used to receive data from memory 6203 or other devices, and interface circuit 6202 can be used to send data to memory 6203 or other devices. For example, interface circuit 6202 can read data stored in memory 6203 and send the data to processor 6201.

[0356] In some embodiments, the interface circuit 6202 performs at least one of the communication steps such as sending and / or receiving in the above-described method (e.g., step S2101, but not limited thereto). For example, the interface circuit 6202 performing the communication steps such as sending and / or receiving in the above-described method means that the interface circuit 6202 performs data interaction between the processor 6201, the chip 6200, the memory 6203, or the transceiver device. In some embodiments, the processor 6201 performs at least one of the other steps.

[0357] The modules and / or devices described in the various embodiments, such as virtual devices, physical devices, and chips, can be combined or separated arbitrarily as needed. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0358] This disclosure also proposes a storage medium storing instructions that, when executed on the communication device 6100, cause the communication device 6100 to perform 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 not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0359] This disclosure also provides a program product that, when executed by the communication device 6100, causes the communication device 6100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0360] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

Claims

1. A communication method characterized by comprising: The method includes: The observation window and prediction window are determined based on the terminal's primary capabilities. Wherein, the first capability is the terminal's prediction capability in the time domain, the observation window is used for the terminal to perform measurements, the prediction window is used for the terminal to make predictions based on the measurement results, and the observation window and the prediction window partially overlap.

2. The method of claim 1, wherein, The first capability includes the ability to predict second information based on first information, wherein the first information is M filtered layer 1 measurement results and the second information is N filtered layer 1 measurement results, where M and N are both positive integers; The observation window is (M×(N+1)-N) times the measurement period; The prediction window is N times the measurement period.

3. The method of claim 2, wherein, The first capability is represented based on a first value and a second value, where the first value is M and the second value is N.

4. The method of claim 2, wherein, The first capability is based on a third numerical value, which is the ratio between M and N.

5. The method of claim 1, wherein, The first capability includes the ability to predict fourth information based on third information, wherein the third information consists of P unfiltered layer 1 measurement results and the fourth information consists of Q unfiltered layer 1 measurement results, where P and Q are both positive integers; The observation window is (P×(Q+1)-Q) times the sampling period; The prediction window is Q times the sampling period.

6. The method of claim 5, wherein, The first capability is represented based on a fourth value and a fifth value, wherein the fourth value is P and the fifth value is Q.

7. The method of claim 5, wherein, The first capability is based on a sixth numerical value, which is the ratio between P and Q.

8. The method of claim 1, wherein, The first capability includes the ability to predict sixth information based on fifth information, wherein the fifth information consists of K unfiltered Layer 1 measurement results and the sixth information consists of one filtered Layer 1 measurement result, where K is a positive integer; The observation window is K times the sampling period; The prediction window and measurement period are the same.

9. The method according to any one of claims 5 to 8, characterized in that, The sampling period is an integer multiple of the timing configuration period of the synchronization signal block measurement (SMTC), or the sampling period is an integer multiple of the measurement interval repetition period (MGRP).

10. The method of claim 1, wherein, The method further includes: The terminal sends a measurement report to the network device; The measurement report includes measurement results obtained based on the observation window and prediction results obtained based on the prediction window.

11. A communication method, comprising: The method includes: Network devices receive measurement reports sent by terminals; The measurement report includes measurement results obtained based on an observation window and prediction results obtained based on a prediction window. The observation window and the prediction window are determined based on a first capability of the terminal, which is the terminal's prediction capability in the time domain. The observation window is used by the terminal to perform measurements, and the prediction window is used by the terminal to make predictions based on the measurement results. The observation window and the prediction window partially overlap.

12. The method of claim 11, wherein, The first capability includes the ability to predict second information based on first information, wherein the first information is M filtered layer 1 measurement results and the second information is N filtered layer 1 measurement results, where M and N are both positive integers; The observation window is (M×(N+1)-N) times the measurement period; The prediction window is N times the measurement period.

13. The method of claim 12, wherein, The first capability is represented based on a first value and a second value, where the first value is M and the second value is N.

14. The method of claim 12, wherein, The first capability is based on a third numerical value, which is the ratio between M and N.

15. The method of claim 11, wherein, The first capability includes the ability to predict fourth information based on third information, wherein the third information consists of P unfiltered layer 1 measurement results and the fourth information consists of Q unfiltered layer 1 measurement results, where P and Q are both positive integers; The observation window is (P×(Q+1)-Q) times the sampling period; The prediction window is Q times the sampling period.

16. The method of claim 15, wherein, The first capability is represented based on a fourth value and a fifth value, wherein the fourth value is P and the fifth value is Q.

17. The method of claim 15, wherein, The first capability is based on a sixth numerical value, which is the ratio between P and Q.

18. The method of claim 11, wherein, The first capability includes the ability to predict sixth information based on fifth information, wherein the fifth information consists of K unfiltered Layer 1 measurement results and the sixth information consists of one filtered Layer 1 measurement result, where K is a positive integer; The observation window is K times the sampling period; The prediction window and measurement period are the same.

19. The method according to any one of claims 15 to 18, characterized in that, The sampling period is an integer multiple of the timing configuration period of the synchronization signal block measurement (SMTC), or the sampling period is an integer multiple of the measurement interval repetition period (MGRP).

20. A terminal, characterized by include: The processing module is used to determine the observation window and prediction window based on the terminal's primary capabilities; Wherein, the first capability is the terminal's prediction capability in the time domain, the observation window is used for the terminal to perform measurements, the prediction window is used for the terminal to make predictions based on the measurement results, and the observation window and the prediction window partially overlap.

21. A network device, comprising: include: The transceiver module is used to receive measurement reports sent by the terminal; The measurement report includes measurement results obtained based on an observation window and prediction results obtained based on a prediction window. The observation window and the prediction window are determined based on a first capability of the terminal, which is the terminal's prediction capability in the time domain. The observation window is used by the terminal to perform measurements, and the prediction window is used by the terminal to make predictions based on the measurement results. The observation window and the prediction window partially overlap.

22. A terminal, characterized by include: One or more processors; The terminal is used to execute the method according to any one of claims 1 to 10.

23. A network device, comprising: include: One or more processors; The network device is used to perform the method according to any one of claims 11 to 19.

24. A communication system, characterized by The device includes a terminal and a network device, wherein the terminal is configured to implement the method of any one of claims 1 to 10, and the network device is configured to implement the method of any one of claims 11 to 19.

25. A storage medium, the storage medium storing instructions, wherein, When the instructions are executed on a communication device, the communication device performs the method as described in any one of claims 1 to 10 or the method as described in any one of claims 11 to 19.

26. A program product, characterized by include: A computer program, when executed by a communication device, causes the communication device to perform the method as described in any one of claims 1 to 10 or the method as described in any one of claims 11 to 19.

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