Communication methods and devices, and communication system and storage medium

Abstract

The present disclosure relates to communication methods and devices, and a communication system and a storage medium. A communication method may be executed by a terminal, and comprises: sending first information to a network device, wherein the first information is used for indicating related information of a prediction function of the terminal. Thus, unnecessary communication transmission interruptions can be effectively avoided, thereby ensuring the reliability of communications.

Description

Communication method, device, system and storage medium TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of communication, and particularly relates to a communication method, device, system and storage medium. BACKGROUND

[0002] In order to support L3 mobility, a network side can configure a radio resource management (RRM) measurement for a user equipment (UE), and the network can trigger a handover according to a measurement result reported by the UE. The UE can measure one or more cells and predict measurement results of other cells based on an artificial intelligence (AI) / machine learning (ML) technology, so as to reduce power consumption of measurement.

[0003] SUMMARY

[0004] Embodiments of the present disclosure provide a communication method, device, system and storage medium.

[0005] According to a first aspect of embodiments of the present disclosure, a communication method is provided, performed by a terminal, and the method comprises:

[0006] sending first information to a network device, the first information being used to indicate related information of a prediction function of the terminal.

[0007] According to a second aspect of embodiments of the present disclosure, a communication method is provided, performed by a network device, and the method comprises:

[0008] receiving first information sent by a terminal, the first information being used to indicate related information of a prediction function of the terminal.

[0009] According to a third aspect of embodiments of the present disclosure, a communication device is provided, comprising:

[0010] a transceiver configured to send first information to a network device, the first information being used to indicate related information of a prediction function of the terminal.

[0011] According to a fourth aspect of embodiments of the present disclosure, a communication device is provided, comprising:

[0012] a transceiver configured to receive first information sent by a terminal, the first information being used to indicate related information of a prediction function of the terminal.

[0013] According to a fifth aspect of embodiments of the present disclosure, a communication device is provided, comprising:

[0014] one or more processors;

[0015] The communication device is configured to perform the communication method of the first aspect or the second aspect.

[0016] According to a sixth aspect of the embodiments of the present disclosure, a communication system is provided, including a network device and a terminal, the terminal is configured to implement the communication method of the first aspect, and the network device is configured to implement the communication method of the second aspect.

[0017] According to a seventh aspect of the embodiments of the present disclosure, a storage medium is provided, the storage medium stores instructions, when the instructions run on a communication device, the communication device performs the communication method according to the second aspect of the embodiments of the present disclosure.

[0018] According to an eighth aspect of the embodiments of the present disclosure, a computer program product is provided, including a computer program and / or instructions, when the computer program and / or the instructions are executed by a communication device, the communication method according to the second aspect of the embodiments of the present disclosure is implemented.

[0019] In the above embodiments, the terminal can indicate its prediction function related information by sending the first information to the network device, so that the network device can configure appropriate measurement gaps for the terminal based on the terminal's measurement prediction capability, which can effectively avoid unnecessary communication transmission terminal, and ensure the reliability of communication. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following describes the drawings required for the embodiments, and the following drawings are only some embodiments of the present disclosure, and do not specifically limit the protection scope of the present disclosure.

[0021] Fig. 1 is an exemplary schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0022] Fig. 2 is an exemplary interactive schematic diagram of a communication method according to an embodiment of the present disclosure.

[0023] Fig. 3A is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0024] Fig. 3B is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0025] Fig. 3C is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0026] Fig. 3D is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0027] FIG. 3E is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0028] FIG. 4A is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0029] FIG. 4B is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0030] FIG. 5 is an exemplary flow diagram of a communication method according to an embodiment of the present disclosure.

[0031] FIG. 6A is an exemplary structural diagram of a terminal according to an embodiment of the present disclosure.

[0032] FIG. 6B is an exemplary structural diagram of a network device according to an embodiment of the present disclosure.

[0033] FIG. 7A is an exemplary structural diagram of a communication device according to an embodiment of the present disclosure.

[0034] FIG. 7B is an exemplary structural diagram of a communication device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0035] Embodiments of the present disclosure provide a communication method, device, system and storage medium.

[0036] In a first aspect, embodiments of the present disclosure provide a communication method, performed by a terminal, the method comprising:

[0037] sending first information to a network device, the first information being used to indicate related information of a prediction function of the terminal.

[0038] In the above embodiments, the terminal can indicate the related information of the prediction function by sending the first information to the network device, so that the network device can configure a suitable measurement gap for the terminal based on the measurement prediction capability of the terminal, which can effectively avoid unnecessary communication transmission of the terminal and ensure the reliability of communication.

[0039] In some embodiments in combination with the first aspect, in some embodiments, the first information comprises at least one of:

[0040] first auxiliary information, the first auxiliary information being used to indicate an association relationship between configuration information of a measurement gap and the related information of the prediction function;

[0041] second auxiliary information, the second auxiliary information being used to indicate an association relationship between configuration information of a measurement time and a prediction accuracy of the prediction function.

[0042] In the above embodiments, when reporting the information related to the prediction function, the terminal can also report the configuration of the measurement time and / or the recommended configuration of the measurement gap in association, so that the network device can accurately know the influence of the configuration of the measurement gap and / or the configuration of the measurement time on the prediction function, and further ensure the reliability of the network device in configuring the measurement gap.

[0043] In some embodiments of the first aspect, in some embodiments, the information related to the prediction function includes at least one of:

[0044] The measurement frequency at which the terminal can obtain the measurement result based on the prediction function;

[0045] The proportion of the measurement frequency at which the terminal can obtain the measurement result based on the prediction function in all measurement frequencies;

[0046] The prediction accuracy of the terminal in performing the measurement prediction based on the prediction function;

[0047] A first indication, the first indication being used to indicate that the terminal can perform the measurement prediction between frequencies based on the prediction function;

[0048] A second indication, the second indication being used to indicate that the terminal recommends the configuration information because the terminal can perform the measurement prediction based on the prediction function.

[0049] In the above embodiments, the terminal can report the information related to the prediction function, so that the network device can more reliably configure the measurement gap of the terminal, and further reduce unnecessary measurement and data interruption of the terminal.

[0050] In some embodiments of the first aspect, in some embodiments, the configuration information of the measurement gap includes at least one of:

[0051] The start time of the measurement gap;

[0052] The length of the measurement gap;

[0053] The period of the measurement gap;

[0054] The offset of the measurement gap;

[0055] The gap identifier of the measurement gap;

[0056] The gap type of the measurement gap;

[0057] The timing advance of the measurement gap;

[0058] The reference cell of the measurement gap;

[0059] a third indication, the third indication being used to indicate that the measurement gap is a non-contention synchronization gap (NCSG);

[0060] a fourth indication, the fourth indication being used to indicate that the measurement gap is a pre-configured measurement gap;

[0061] a priority of the measurement gap;

[0062] a sharing mode configuration of the measurement gap.

[0063] In some embodiments in combination with the first aspect, in some embodiments, the first assistance information comprises at least one of:

[0064] at least one first configuration information of the measurement gap recommended by the terminal, and a reason for each of the first configuration information recommended by the terminal;

[0065] at least one first configuration information of the measurement gap recommended by the terminal, and a predicted accuracy corresponding to each of the first configuration information.

[0066] In some embodiments in combination with the first aspect, in some embodiments, the configuration information of the measurement time comprises at least one of:

[0067] a measurement period, the measurement period being used to indicate a time for the terminal to measure a corresponding frequency or cell to obtain an effective measurement result;

[0068] a sample period, the sample period being used to indicate a time interval between two measurement samples obtained by the terminal;

[0069] a sample number, the sample number being used to indicate a number of measurement samples required by the terminal to obtain an effective measurement result.

[0070] In some embodiments in combination with the first aspect, in some embodiments, the second assistance information comprises a group of first lists, each of the first lists being used to indicate a predicted accuracy of the prediction function, and configuration information of the measurement time corresponding to input data required by the prediction function.

[0071] In some embodiments in combination with the first aspect, in some embodiments, the prediction function comprises one or more prediction tasks, and the second assistance information comprises one or more groups of first lists, each of the groups of first lists corresponding to a prediction task;

[0072] for any one of the first lists, the first list corresponding to a first prediction task, the first list being used to indicate at least one of:

[0073] a measurement frequency and / or a cell list corresponding to the input data of the first prediction task;

[0074] a measurement frequency and / or a cell list corresponding to the output data of the first prediction task;

[0075] a prediction accuracy of the first prediction task, and configuration information corresponding to a measurement time of input data required by the first prediction task.

[0076] In some embodiments combined with the first aspect, the method comprises:

[0077] determining, according to the prediction function, a first to-be-measured frequency in the to-be-measured frequencies;

[0078] The measurement of the first to-be-measured frequency can be implemented based on the prediction function, and the first to-be-measured frequency is used by the terminal to determine the related information of the prediction function.

[0079] In some embodiments combined with the first aspect, the determining, according to the prediction function, a first to-be-measured frequency in the to-be-measured frequencies comprises at least one of:

[0080] determining the first to-be-measured frequency according to a frequency offset requirement of a deployment frequency corresponding to the prediction function;

[0081] determining the first to-be-measured frequency according to an input frequency and an output frequency range corresponding to the prediction function;

[0082] determining the first to-be-measured frequency according to a pre-configuration rule and / or a pre-configuration algorithm of the terminal.

[0083] In the above embodiments, the terminal can accurately determine the frequency that can be measured and predicted based on the prediction function based on the related configuration of the prediction function, and can effectively guide the terminal to determine the corresponding first information.

[0084] In some embodiments combined with the first aspect, the method comprises:

[0085] sending, to the network device, second information used to indicate whether the terminal supports sending the first information.

[0086] In the above embodiments, the terminal can send the second information to the network device to indicate whether it supports sending the first information, so that the network device can schedule resources based on the capability of the terminal, and resource waste is avoided.

[0087] In a second aspect, the embodiments of the present disclosure provide a communication method, executed by a network device, the method comprising:

[0088] The receiving terminal sends first information, the first information being used for indicating related information of a prediction function of the terminal.

[0089] In combination with some embodiments of the second aspect, in some embodiments, the first information comprises at least one of:

[0090] first auxiliary information, the first auxiliary information being used for indicating an association relationship between configuration information of a measurement gap and the related information of the prediction function;

[0091] second auxiliary information, the second auxiliary information being used for indicating an association relationship between configuration information of a measurement time and a prediction accuracy of the prediction function.

[0092] In combination with some embodiments of the second aspect, in some embodiments, the related information of the prediction function comprises at least one of:

[0093] a measurement frequency at which the terminal is capable of obtaining a measurement result based on the prediction function;

[0094] a proportion of the measurement frequency at which the terminal is capable of obtaining a measurement result based on the prediction function in all measurement frequencies;

[0095] a prediction accuracy at which the terminal performs measurement prediction based on the prediction function;

[0096] first indication, the first indication being used for indicating that the terminal is capable of implementing inter-frequency measurement prediction based on a prediction function;

[0097] second indication, the second indication being used for indicating that a reason why the terminal recommends the configuration information is that the terminal is capable of implementing measurement prediction based on a prediction function.

[0098] In combination with some embodiments of the second aspect, in some embodiments, the configuration information of the measurement gap comprises at least one of:

[0099] a start time of the measurement gap;

[0100] a length of the measurement gap;

[0101] a period of the measurement gap;

[0102] an offset of the measurement gap;

[0103] a gap identification of the measurement gap;

[0104] a gap type of the measurement gap;

[0105] a timing advance of the measurement gap;

[0106] a reference cell of the measurement gap;

[0107] a third indication, the third indication indicating that the measurement gap is a non-contention synchronization gap (NCSG);

[0108] a fourth indication, the fourth indication indicating that the measurement gap is a pre-configured measurement gap;

[0109] a priority of the measurement gap;

[0110] a sharing mode configuration of the measurement gap.

[0111] In some embodiments in combination with the second aspect, in some embodiments, the first assistance information comprises at least one of:

[0112] at least one first configuration information of the measurement gap recommended by the terminal, and a reason for each of the first configuration information recommended by the terminal;

[0113] at least one first configuration information of the measurement gap recommended by the terminal, and a predicted accuracy corresponding to each of the first configuration information.

[0114] In some embodiments in combination with the second aspect, in some embodiments, the configuration information of the measurement time comprises at least one of:

[0115] a measurement period, the measurement period indicating a time for the terminal to measure a corresponding frequency or cell to obtain an effective measurement result;

[0116] a sample period, the sample period indicating a time interval between two measurement samples obtained by the terminal;

[0117] a sample number, the sample number indicating a number of measurement samples required by the terminal to obtain an effective measurement result.

[0118] In some embodiments in combination with the second aspect, in some embodiments, the second assistance information comprises a group of first lists, each of the first lists indicating a predicted accuracy of the prediction function, and configuration information of the measurement time corresponding to input data required by the prediction function.

[0119] In some embodiments in combination with the second aspect, in some embodiments, the prediction function comprises one or more prediction tasks, and the second assistance information comprises one or more groups of first lists, each of the groups of first lists corresponding to a prediction task;

[0120] for any one of the first lists, the first list corresponding to a first prediction task, and the first list indicating at least one of:

[0121] a list of measurement frequencies and / or cells corresponding to input data of the first prediction task;

[0122] a measurement frequency and / or a cell list corresponding to the output data of the first prediction task;

[0123] a prediction accuracy of the first prediction task, and configuration information corresponding to a measurement time of input data required by the first prediction task.

[0124] In some embodiments of the second aspect, the method comprises:

[0125] sending, to the network device, second information used to indicate whether the terminal supports sending the first information.

[0126] In a third aspect, the embodiments of the present disclosure provide a communication device, comprising:

[0127] a transceiver configured to send, to a network device, first information used to indicate related information of a prediction function of the terminal.

[0128] In a fourth aspect, the embodiments of the present disclosure provide a communication device, comprising:

[0129] a transceiver configured to receive first information sent by a terminal, the first information being used to indicate related information of a prediction function of the terminal.

[0130] In a fifth aspect, the embodiments of the present disclosure provide a communication device, comprising:

[0131] one or more processors;

[0132] The communication device is configured to perform the communication method of the first aspect or the second aspect.

[0133] In a sixth aspect, the embodiments of the present disclosure provide a communication system, comprising: a terminal, a network device; wherein the terminal is configured to perform the method described in the optional implementation manner of the first aspect, and the network device is configured to perform the method described in the optional implementation manner of the second aspect.

[0134] In a seventh aspect, the embodiments of the present disclosure provide a storage medium, which stores instructions, and when the instructions run on a communication device, the communication device performs the method described in the optional implementation manner of the first aspect and the second aspect.

[0135] In an eighth aspect, the embodiments of the present disclosure provide a computer program product, comprising a computer program and / or instructions, and when the computer program and / or instructions are executed by a communication device, the communication device performs the method described in the optional implementation manner of the first aspect and the second aspect.

[0136] In a ninth aspect, the embodiments of the present disclosure provide a computer program which, when running on a computer, causes the computer to perform the method described in the first aspect and the optional implementation manners of the second aspect.

[0137] In a tenth aspect, the embodiments of the present disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform the method described in the first aspect and the optional implementation manners of the second aspect.

[0138] It can be understood that the terminal, the network device, the communication system, the storage medium, the program product, the computer program, the chip or the chip system are all used to perform the method proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be described here.

[0139] The embodiments of the present disclosure propose a communication method, a communication device, a communication system and a storage medium. In some embodiments, the terms of the communication method, the information processing method and the gap configuration method can be replaced with each other, the terms of the communication device, the information processing device and the gap configuration device can be replaced with each other, and the terms of the information processing system and the communication system can be replaced with each other.

[0140] The embodiments of the present disclosure are not exhaustive, but only illustrate some embodiments, and are not specific limitations on the protection scope of the present disclosure. In the case of no contradiction, each step in an embodiment can be implemented as an independent embodiment, and the steps can be combined arbitrarily, for example, the scheme after removing some steps in an embodiment can also be implemented as an independent embodiment, and the order of the steps in an embodiment can be exchanged arbitrarily, in addition, the optional implementation manners in an embodiment can be combined arbitrarily; in addition, the embodiments can be combined arbitrarily, for example, some or all steps of different embodiments can be combined arbitrarily, an embodiment can be combined with the optional implementation manners of other embodiments.

[0141] In each embodiment of the present disclosure, the terms and / or descriptions between the embodiments are consistent if there is no special description and logical conflict, and can be referred to each other, and the technical features in different embodiments can be combined to form a new embodiment according to their inherent logical relationship.

[0142] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments, and not as a limitation on the present disclosure.

[0143] In the embodiments of the present disclosure, an element expressed in singular form, such as "a", "an", "the", "said", "the aforementioned", "the foregoing", "this", and the like, unless otherwise specified, can represent "one and only one", or can represent "one or more", "at least one", and the like. For example, in the case of using an article such as "a", "an", "the" in English, the noun after the article can be understood as a singular expression, or can be understood as a plural expression.

[0144] In the embodiments of the present disclosure, "plurality" refers to two or more.

[0145] In some embodiments, the terms "at least one of", "one or more", "a plurality of", "multiple", and the like can be replaced with each other.

[0146] In some embodiments, the description manner such as "at least one of A, B", "A and / or B", "A in one case and B in another case", "responding to a case A, responding to another case B", and the like can include the following technical solutions according to the case: A is executed in some embodiments (A is executed regardless of B); B is executed in some embodiments (B is executed regardless of A); A and B are selectively executed in some embodiments (A and B are selected to be executed); A and B are executed in some embodiments (A and B are both executed). When there are more branches such as A, B, C, and the like, the above is similar.

[0147] In some embodiments, the description manner such as "A or B" and the like can include the following technical solutions according to the case: A is executed in some embodiments (A is executed regardless of B); B is executed in some embodiments (B is executed regardless of A); A and B are selectively executed in some embodiments (A and B are selected to be executed). When there are more branches such as A, B, C, and the like, the above is similar.

[0148] The prefix words “first”, “second”, etc. in the embodiments of the present disclosure are merely used to distinguish different description objects, and do not constitute limitation on the position, sequence, priority, quantity or content of the description objects. The description of the description objects should refer to the description in the context of the claims or embodiments, and should not constitute redundant limitation because of the use of the prefix words. For example, the description objects are “fields”, and the ordinal words before “fields” in “first field” and “second field” do not limit the position or sequence between “fields”. “First” and “second” do not limit whether the “fields” modified thereby are in the same message, nor do they limit the sequence of “first field” and “second field”. For another example, the description objects are “levels”, and the ordinal words before “levels” in “first level” and “second level” do not limit the priority between “levels”. For another example, the quantity of the description objects is not limited by the ordinal words, and can be one or more. For example, “first device”, wherein the quantity of “devices” can be one or more. In addition, the objects modified by different prefix words can be the same or different. For example, the description objects are “devices”, and “first device” and “second device” can be the same device or different devices, and their types can be the same or different. For another example, the description objects are “information”, and “first information” and “second information” can be the same information or different information, and their contents can be the same or different.

[0149] In some embodiments, “including A”, “containing A”, “for indicating A”, “carrying A” can be interpreted as directly carrying A, or indirectly indicating A.

[0150] In some embodiments, the terms “time / frequency”, “time / frequency domain” and the like refer to the time domain and / or the frequency domain.

[0151] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “when…”, “if…”, “if…” and the like can be replaced with each other.

[0152] 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”, “above” and the like can be replaced with each other, and 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”, “below” and the like can be replaced with each other.

[0153] In some embodiments, an apparatus or the like can be interpreted as an entity, and can also be interpreted as virtual, and the name thereof is not limited to the name described in the embodiments. The terms "apparatus", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject" and the like can be replaced with each other.

[0154] In some embodiments, a "network" can be interpreted as an apparatus (for example, an access network device, a core network device, and the like) included in the network.

[0155] 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", "bandwidth part (BWP)" and the like can be replaced with each other.

[0156] In some embodiments, the terms "terminal," "terminal device," "user equipment (UE)," "user terminal," "mobile station (MS)," "mobile terminal (MT)," "subscriber station," "mobile unit," "subscriber unit," "wireless unit," "remote unit," "mobile device," "wireless device," "wireless communication device," "remote device," "mobile subscriber station," "access terminal," "mobile terminal," "wireless terminal," "remote terminal," "handset," "user agent," "mobile client," "client," and so on can be replaced with each other.

[0157] In some embodiments, the access network device, the core network device, or the network device can be replaced with a terminal. For example, the embodiments of the present disclosure can also be applied to a structure in which communication between the access network device, the core network device, or the network device and the terminal is replaced with communication between a plurality of terminals (e.g., device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the terminal can also be configured to have all or part of the functions of the access network device. In addition, the terms "uplink," "downlink," and the like can also be replaced with terms corresponding to the inter-terminal communication (e.g., "side"). For example, the uplink channel, the downlink channel, and the like can be replaced with the side channel, and the uplink, the downlink, and the like can be replaced with the sidelink.

[0158] In some embodiments, the terminal can be replaced with the access network device, the core network device, or the network device. In this case, the access network device, the core network device, or the network device can also be configured to have all or part of the functions of the terminal.

[0159] In some embodiments, obtaining data, information, etc. can comply with laws and regulations of the country where the location is.

[0160] In some embodiments, data, information, etc. can be obtained after obtaining consent of the user.

[0161] In addition, each element, each row, or each column in the table of the embodiments of the present 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.

[0162] FIG. 1 is an architecture schematic diagram of a communication system according to an embodiment of the present disclosure. As shown in FIG. 1, the communication system 100 includes a terminal 101 and a network device 102. In some embodiments, the network device 102 includes at least one of an access network device and a core network device.

[0163] In some embodiments, the terminal 101 includes at least one of a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a Pad, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in smart grid, a wireless terminal device in transportation safety, a wireless terminal device in smart city, a wireless terminal device in smart home, etc., but is not limited thereto.

[0164] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network, and the access network device can include at least one of an evolved NodeB (eNB) in a 5G communication system, a next generation eNB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, an access node in a Wi-Fi system, but is not limited thereto.

[0165] In some embodiments, the technical solutions of the present disclosure can be applied to an Open RAN architecture, at this time, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can become internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be realized through software or programs.

[0166] In some embodiments, the access network device can be composed of a central unit (CU) and a distributed unit (DU), wherein the CU can also be referred to as a control unit (control unit). The CU-DU structure can split the protocol layers of the access network device, and part of the functions of the protocol layers are controlled by the CU, and the remaining part or all of the functions of the protocol layers are distributed in the DU and controlled by the CU, but the present disclosure is not limited thereto.

[0167] In some embodiments, the core network device can be one device including a first network element, a second network element, etc., or can be multiple devices or device groups, respectively including all or part of the first network element, the second network element, etc. The network element can be virtual or physical. The core network includes, for example, at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next generation core (NGC).

[0168] It can be understood that the communication system described in the embodiments of the present disclosure is for more clearly illustrating the technical solutions of the embodiments of the present disclosure, and does not constitute a limitation on the technical solutions proposed by the embodiments of the present disclosure. Those skilled in the art can know that, with the evolution of system architecture and the appearance of new business scenarios, the technical solutions proposed by the embodiments of the present disclosure are also applicable to similar technical problems.

[0169] The following embodiments of the present disclosure can be applied to the communication system 100 shown in FIG. 1 or part of the subjects, but are not limited thereto. The subjects shown in FIG. 1 are exemplary, and the communication system can include all or part of the subjects in FIG. 1, or other subjects other than FIG. 1. The number and form of each subject is arbitrary, each subject can be physical or virtual, the connection relationship between each subject is exemplary, each subject can not be connected or can be connected, the connection can be in any way, can be direct connection or indirect connection, can be wired connection or wireless connection.

[0170] Embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (Bluetooth (registered trademark)), Public Land Mobile Network (PLMN) network, Device-to-Device (D2D) system, Machine to Machine (M2M) system, Internet of Things (IoT) system, Vehicle-to-Everything (V2X), system using other communication methods, next-generation system expanded based thereon, and the like. Further, a plurality of systems can be applied in combination (for example, combination of LTE or LTE-A and 5G, and the like).

[0171] In some embodiments, to support L3 mobility, the network side can configure the UE with Radio Resource Management (RRM) measurements, and the network can trigger handover based on the measurement results reported by the UE. The measurement report in some optional implementations can contain cell-level measurement results and beam-level measurement results. Based on the measurement report of the UE, the network can determine the target cell for handover and the best beam for the UE to access. After the target cell and / or beam is confirmed, the network can send a handover command (Reconfiguration with sync) to the UE, carrying the configuration information of the target cell, which can include bearer configuration, Media Access Control (MAC) configuration, and random access configuration. After receiving the handover command, the UE synchronizes with the target cell, then initiates a random access procedure to access the target cell, and starts to use the carried configuration of the target cell.

[0172] In the above handover mechanism, handover is triggered and executed based on reported historical measurement results and / or measurement events, which is essentially a reactive scheme. In the scenario of macro cell low mobility, the performance of this way can be good, but when the mobility of the UE is very high, or in the scenario of high density deployment, or for existing services or future services (such as XR) with mobility, this reactive scheme may have problems, such as more likely to occur handover failure, radio link failure, ping-pong handover, throughput loss or too early / late handover, etc.

[0173] In some embodiments, conditional handover is introduced to improve the robustness of handover. To reduce the interruption time of frequent inter-cell handover, long-term monitoring (LTM) handover (HO) is introduced. However, these two mechanisms are still reactive schemes in design. The mechanism based on AI / ML algorithm has the potential to realize a proactive scheme. Therefore, in some embodiments, an AI / ML-based mobility optimization scheme can be adopted, which can include prediction of measurement results, prediction of cell-level measurement results, and prediction of beam-level measurement results.

[0174] In some embodiments, inter-frequency RRM measurement prediction for FR1-FR1 is proposed, where inter-frequency prediction can predict the measurement results of one or more frequencies based on the measurement results of one or more frequencies. Inter-frequency measurement prediction can effectively reduce the measurement overhead. Reducing the frequency of measurement can also effectively reduce the required measurement opportunity and the required measurement gap, thereby reducing the interruption time of data transmission.

[0175] In some embodiments, the UE can measure one or more cells and predict the measurement results of other cells based on AI / ML techniques, which can reduce the power consumption of measurement. In the use and inference process of AI, multiple AI / ML models or AI / ML functionalities can be required for inference and prediction. AI / ML functionality can be used to implement a specific function, and one or more AI / ML models can be used in the process of implementing the function. The inference of AI / ML model or function can be run on the UE side or on the network side.

[0176] In the above embodiments, considering that AI / ML prediction can have requirements for the measurement period of input data, and the measurement period is related to the measurement gap, the performance of AI / ML prediction is also related to the measurement gap.

[0177] In some embodiments, the measurement gap is configured by the network side, and the network side can configure multiple parallel gaps for the UE at the same time, and different measurement use cases (e.g., positioning reference signal (PRS), synchronization signal block (SSB), channel state information-reference signal (CSI-RS), and evolved universal terrestrial radio access (EUTRA)) can be associated with different measurement gaps. However, since the measurement gap is configured by the network side, the network side cannot know whether the AI / ML model or AI function on the UE side can support the inter-frequency RRM measurement prediction, and the network side also cannot know the measurement period requirement of the input measurement result for the AI prediction of the UE side AI / ML model. Therefore, the network side cannot configure a suitable measurement gap for the UE. Thus, unnecessary measurement and data interruption can occur.

[0178] To this end, some embodiments of the present disclosure propose a communication method, wherein the UE can carry indication information when reporting the UE-recommended measurement gap configuration, indicating that the UE has an inter-frequency AI / ML prediction function. The UE can also report which frequencies the AI / ML prediction function can predict. In addition, the UE can also report the influence of the measurement gap related configuration on the accuracy of the AI / ML prediction function. Based on the above-mentioned assistance information, the network side can configure a suitable measurement gap for the UE, thereby reducing unnecessary measurement and data interruption.

[0179] FIG. 2 is an interaction diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 2, the present disclosure relates to a communication method, and the method comprises:

[0180] In step S2101, the terminal sends second information to the network device.

[0181] In some embodiments, the second information is used to indicate whether the terminal supports sending the first information. Alternatively, the second information is used to indicate whether the terminal supports generating information related to its prediction function.

[0182] In some embodiments, the network device receives the second information sent by the terminal. Alternatively, the network device determines whether to expect the first information sent by the terminal according to the second information.

[0183] In some embodiments, the network device determines that the terminal does not support sending the first information, and the network device can configure a measurement gap for the terminal by itself.

[0184] At step S2102, the terminal determines a first to-be-measured frequency among the to-be-measured frequencies according to the prediction function.

[0185] In some embodiments, the prediction function can include one or more prediction functions that the terminal has deployed. Optionally, one prediction function can be implemented based on one or more AI / ML models.

[0186] In some embodiments, the prediction function can be replaced by the terms such as “AI / ML model”, “AI / ML function”, “AI / ML feature”, “inference function”, and the like, and the embodiments of the present disclosure are not limited in this regard.

[0187] For example, the terminal can be deployed with multiple AI / ML models, which can be used to implement multiple different AI / ML functions, and among the multiple AI / ML functions, one or more prediction functions for predicting measurement results can be included, such as multiple different prediction functions for different scenarios.

[0188] In some embodiments, the to-be-measured frequency can be replaced by the terms such as “measurement object (MO)” and “measurement frequency”. That is, the terminal can measure one or more frequencies when performing measurement, and which frequencies the terminal measures can be configured by the network device, for example, the network device can configure one or more to-be-measured frequencies for the terminal to measure.

[0189] In some embodiments, the configuration of the to-be-measured frequency can be implemented by configuring a corresponding measurement object. For example, the configuration of the measurement object includes configuration information of the measurement reference signal corresponding to the to-be-measured frequency.

[0190] In some embodiments, the measurement corresponding to the first measurement object can be implemented based on the first prediction function. That is, the terminal can determine the frequency for which the terminal can predict the corresponding measurement result based on the prediction function it has deployed. For example, if the terminal can predict the frequency 1 based on the AI / ML model it has deployed, then the first to-be-measured frequency can include the frequency 1.

[0191] In some embodiments, the to-be-measured frequency can refer to a frequency that needs to be measured according to the current configuration of the network device, or a frequency that needs to be measured determined by the terminal itself.

[0192] In some embodiments, determining the first to-be-measured frequency among the to-be-measured frequencies according to the prediction function includes at least one of the following:

[0193] The first to-be-measured frequency is determined according to a frequency offset requirement of a deployment frequency corresponding to the prediction function.

[0194] The first to-be-measured frequency is determined according to an input frequency range and an output frequency range corresponding to the prediction function.

[0195] The first to-be-measured frequency is determined according to a pre-configuration rule and / or a pre-configuration algorithm of the terminal.

[0196] Optionally, the terminal can determine whether some frequencies can be predicted based on a frequency offset requirement of a deployment frequency corresponding to the prediction function. Wherein, the frequency corresponding to the relevant cell-level or beam-level measurement result input into the prediction function, and the frequency corresponding to the relevant cell-level or beam-level measurement result input into the prediction function, satisfy the frequency offset requirement of the prediction function.

[0197] Optionally, the terminal can determine whether some frequencies can be predicted based on an input frequency range and an output frequency range indicated in the prediction function. Wherein, the frequency corresponding to the relevant cell-level or beam-level measurement result input into the prediction function, and the frequency corresponding to the relevant cell-level or beam-level measurement result input into the prediction function, are within the input frequency range and the output frequency range indicated in the AI / ML function.

[0198] Optionally, the terminal can also determine which frequencies in the configured to-be-measured frequency can obtain measurement results through prediction based on a pre-configuration rule and / or a pre-configuration algorithm, for example.

[0199] In some embodiments, the first to-be-measured frequency can be used by the terminal to determine the first information.

[0200] For example, the terminal can determine a corresponding measurement gap based on the to-be-measured frequency for which it can perform measurement prediction, determine the configuration of the measurement gap, and recommend the measurement gap to the terminal through the second information (such as the second auxiliary information). In addition, the terminal can also inform the network device through the second indication that the reason for recommending the measurement gap (or the configuration of the measurement gap) is that the terminal can perform corresponding measurement prediction based on the prediction function.

[0201] Step S2103, the terminal sends the first information to the network device.

[0202] In some embodiments, the first information is used to indicate the related information of the prediction function of the terminal. Optionally, the first information is used to assist the network device in configuring a measurement gap for the terminal.

[0203] In some embodiments, the first information includes at least one of the following:

[0204] The first assistance information is used to indicate an association between configuration information of a measurement gap and relevant information of a prediction function.

[0205] The second assistance information is used to indicate an association between configuration information of a measurement time and a prediction accuracy of a prediction function.

[0206] In some embodiments, the first assistance information can be used to indicate a measurement gap configuration recommended by the terminal. Optionally, the first assistance information can be used to indicate that the terminal is equipped with an inter-frequency prediction function and the prediction function is capable of predicting for which frequencies.

[0207] In some embodiments, the first assistance information comprises at least one of:

[0208] at least one first configuration information of a measurement gap recommended by the terminal and a reason for recommending each first configuration information by the terminal;

[0209] at least one first configuration information of a measurement gap recommended by the terminal and a prediction accuracy corresponding to each first configuration information.

[0210] For example, the first assistance information can comprise a list, and each element in the list can comprise the following information: configuration information of a measurement gap, and a prediction accuracy corresponding to the configuration information.

[0211] Optionally, the configuration information of each measurement gap can be associated with the relevant information of the same prediction function. For example, the reason for recommending each first configuration information by the terminal can be the same, and the reason for recommending multiple first configuration information by the terminal can be that the terminal is capable of performing measurement prediction based on the prediction function, i.e., the terminal is capable of accurately predicting the measurement result based on the prediction function when using the measurement gap corresponding to different configuration information.

[0212] For example, the first assistance information can comprise a list and relevant information of a prediction function associated with the list, the list can comprise configuration information of each measurement gap recommended by the terminal and / or a prediction accuracy corresponding to each configuration information, and the relevant information of the prediction function associated with the list can be used to indicate a reason for recommending the above-mentioned configuration information by the terminal, a first to-be-measured frequency, a proportion of the first to-be-measured frequency in all measurement frequencies, etc.

[0213] Optionally, if a prediction function corresponding to a certain configuration information of a measurement gap involves multiple AI / ML models, the prediction accuracy corresponding to the configuration information can be an average accuracy of the multiple AI / ML models.

[0214] In some embodiments, the first information can comprise information related to the prediction function, for example, the first information can comprise identification information of the first to-be-measured frequency. Alternatively, the first information comprises information related to the prediction function of the terminal for the to-be-measured frequency. Alternatively, the first information can be used to indicate the first to-be-measured frequency. That is, the first information can be used to indicate which frequency corresponding to the measurement that the terminal can predict.

[0215] In some embodiments, the information related to the prediction function can comprise at least one of the following:

[0216] The measurement frequency for which the terminal can obtain the measurement result based on the prediction function;

[0217] The proportion of the measurement frequency for which the terminal can obtain the measurement result based on the prediction function in all measurement frequencies;

[0218] The prediction accuracy of the terminal based on the prediction function for measurement prediction;

[0219] The first indication, the first indication is used to indicate that the terminal can realize the measurement prediction between frequencies based on the prediction function;

[0220] The second indication, the second indication is used to indicate that the reason why the terminal recommends the configuration information is that the terminal can realize the measurement prediction based on the prediction function.

[0221] Alternatively, the prediction accuracy can comprise the accuracy of the prediction function under different types of input data, for example, a plurality of prediction accuracies corresponding to different measurement periods corresponding to the input data.

[0222] Alternatively, the information related to the prediction function can be determined based on step S2102, for example, the measurement frequency for which the terminal can obtain the measurement result based on the prediction function can be the first to-be-measured frequency described above, and the terminal can also determine the proportion of the first to-be-measured frequency in all to-be-measured frequencies based on the number or frequency range of the first to-be-measured frequency.

[0223] Alternatively, the configuration information of the plurality of measurement gaps can be associated with the information related to the same prediction function. The terminal can report the configuration information of the plurality of measurement gaps and one or more of the following through the first auxiliary information: each measurement frequency for which the terminal can obtain the measurement result based on the prediction function (i.e. the first to-be-measured frequency); the proportion of the first to-be-measured frequency in all measurement frequencies; the first indication; the second indication. In this way, the network device can determine the measurement gap configuration recommended by the terminal and the measurement frequency for which the terminal obtains the measurement result based on the prediction function based on the first auxiliary information, and then configure the measurement gap of the terminal.

[0224] Optionally, the prediction accuracy of the measurement prediction made by the terminal based on the prediction function can be determined based on historical data. For example, the terminal can determine, based on historical data, the similarity between the result predicted by the prediction function and the actual measurement result when the terminal uses different measurement gaps, and then determine the prediction accuracy corresponding to the configuration information of the measurement gap.

[0225] In some embodiments, the configuration information of the measurement gap comprises at least one of: a start time of the measurement gap; a length of the measurement gap; a period of the measurement gap; an offset of the measurement gap; a gap identification of the measurement gap; a gap type of the measurement gap; a timing advance of the measurement gap; a reference cell of the measurement gap; a third indication indicating that the measurement gap is a non-contention synchronous gap (NCSG); a fourth indication indicating that the measurement gap is a preconfigured measurement gap; a priority of the measurement gap; a sharing mode configuration of the measurement gap.

[0226] Optionally, the start time of the measurement gap can be represented by a system frame number (SFN) and a subframe. Optionally, the reference cell of the measurement gap can be a primary cell or a primary synchronization cell corresponding to the start time of the measurement gap.

[0227] For example, the terminal can recommend at least one configuration of the measurement gap to the network device, for example, the configuration information recommended by the terminal can be used to indicate the period, one or more timing advances, one or more offsets, etc. of one or more measurement gaps recommended by the terminal.

[0228] In some embodiments, the configuration information of the measurement time comprises at least one of:

[0229] a measurement period, the measurement period being used to indicate the time for the terminal to measure a corresponding frequency or cell to obtain an effective measurement result;

[0230] a sample period, the sample period being used to indicate the time interval between two measurement samples obtained by the terminal;

[0231] a sample number, the sample number being used to indicate the number of measurement samples required by the terminal to measure an effective measurement result.

[0232] Among them, the configuration information of the measurement time can be determined by the terminal according to its own capability, or can be configured by the network device, for example, the terminal can determine the measurement period, the sample number and the sample period that can be used when it measures according to the data processing capability of the prediction function it deploys, or can determine the measurement period, the sample number and the sample period that can be used when it measures according to the configuration of the network device.

[0233] In some embodiments, the second assistance information comprises a set of first lists, each of the first lists indicating a prediction accuracy of a prediction function and a configuration information of a measurement time corresponding to input data required by the prediction function.

[0234] Optionally, the second assistance information can be used to indicate a prediction accuracy corresponding to different measurement periods, a measurement accuracy corresponding to different sample periods and / or a prediction accuracy corresponding to different sample numbers.

[0235] For example, if a sample number in the input data required by a prediction function of a terminal can be number 1, number 2 or number 3, a first list in the second assistance information can be used to indicate a prediction accuracy of the prediction function corresponding to the sample number 1, number 2 and number 3 of the input data of the terminal for the prediction function respectively.

[0236] In some embodiments, the prediction function comprises one or more prediction tasks, and the second assistance information comprises one or more sets of first lists, each of the sets of first lists corresponding to a prediction task.

[0237] For any one of the first lists, the first list corresponds to a first prediction task, and the first list is used to indicate at least one of:

[0238] a measurement frequency and / or a cell list corresponding to the input data of the first prediction task;

[0239] a measurement frequency and / or a cell list corresponding to the output data of the first prediction task;

[0240] a prediction accuracy of the first prediction task and a configuration information of a measurement time corresponding to the input data required by the first prediction task.

[0241] For example, the first list can correspond to one or more prediction tasks, and the first list can further comprise a type, an identification and any one or more of input / output requirements of the prediction task corresponding to the first list.

[0242] For example, the type of the prediction task can be any one or more of inference, training.

[0243] For example, the type of the prediction task can be any one or more of time domain prediction, frequency domain prediction, space domain prediction.

[0244] For example, if a sample number in the input data required by a prediction task in a prediction function of a terminal can be number 1, number 2 or number 3, a first list corresponding to the prediction task can be used to indicate a prediction accuracy of the prediction task corresponding to the sample number 1, number 2 and number 3 of the input data of the terminal for the prediction task respectively.

[0245] In some embodiments, the network device receives the first information sent by the terminal. Optionally, the network device configures a measurement gap for the terminal according to the first information. Optionally, the network device sends third information to the terminal, the third information being used to indicate configuration information of one or more measurement gaps configured by the network device for the terminal, and / or configuration information corresponding to one or more measurement frequencies.

[0246] In some embodiments, the names of information and the like are not limited to the names described in the embodiments, and the terms of “information”, “message”, “signal”, “signaling”, “report”, “configuration”, “indication”, “instruction”, “command”, “channel”, “parameter”, “domain”, “field”, “symbol”, “symbol”, “codebook”, “codeword”, “code point”, “bit”, “data”, “program”, “chip”, and the like can be replaced with each other.

[0247] In some embodiments, the terms of “synchronization signal (SS)”, “synchronization signal block (SSB)”, “reference signal (RS)”, “pilot”, “pilot signal”, and the like can be replaced with each other.

[0248] In some embodiments, the terms of “time”, “time point”, “time position”, and the like can be replaced with each other, and the terms of “time length”, “time period”, “time window”, “window”, and “time” can be replaced with each other.

[0249] In some embodiments, the terms of “component carrier (CC)”, “cell”, “frequency carrier”, “carrier frequency”, and the like can be replaced with each other.

[0250] In some embodiments, the terms “frame”, “radio frame”, “subframe”, “slot”, “sub-slot”, “mini-slot”, “symbol”, “symbol”, “transmission time interval (TTI)”, and the like can be replaced with each other.

[0251] In some embodiments, the terms “acquire”, “obtain”, “get”, “receive”, “transmit”, “bidirectional transmission”, “send and / or receive”, and the like can be replaced with each other, which can be interpreted as receiving from other subjects, acquiring from protocols, obtaining from higher layers, obtaining by self-processing, implementing autonomously, and the like.

[0252] In some embodiments, the terms “send”, “transmit”, “report”, “issue”, “transmit”, “bidirectional transmission”, “send and / or receive”, and the like can be replaced with each other.

[0253] In some embodiments, the terms “certain”, “preset”, “pre-set”, “set”, “indicated”, “certain”, “arbitrary”, “first”, and the like can be replaced with each other, and “certain A”, “preset A”, “pre-set A”, “set A”, “indicated A”, “certain A”, “arbitrary A”, “first A” can be interpreted as A specified in advance in protocols and the like, A obtained by setting, configuring, or indicating, and the like, A specific, certain, arbitrary, or first A, and the like, but are not limited thereto.

[0254] In some embodiments, 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) represented by true or false, or by comparison of numerical values (for example, comparison with a predetermined value), but is not limited thereto.

[0255] In some embodiments, “not expecting to receive” can be interpreted as not receiving in time domain resources and / or frequency domain resources, or can be interpreted as not performing subsequent processing on the data and the like after receiving the data and the like; “not expecting to send” can be interpreted as not sending, or can be interpreted as sending but not expecting the receiving party to respond to the content of the sending.

[0256] The communication method related to the embodiments of the present disclosure can include at least one of steps S2101-S2103. For example, step S2101 can be implemented as an independent embodiment, step S2102 can be implemented as an independent embodiment, step S2103 can be implemented as an independent embodiment, step S2101+step S2103 can be implemented as an independent embodiment, step S2102+step S2103 can be implemented as an independent embodiment, but the present disclosure is not limited thereto.

[0257] In some embodiments, the order of step S2101 and step S2102 can be exchanged or performed at the same time.

[0258] In some embodiments, steps S2101-S2102 are optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0259] In the embodiments of the present disclosure, part or all of the steps, and optional implementations thereof, can be combined with part or all of the steps in other embodiments, or combined with optional implementations of other embodiments.

[0260] In some embodiments, other optional implementations described before or after the corresponding description of FIG. 2 can be referred to.

[0261] FIG. 3A is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 3A, the embodiments of the present disclosure relate to a communication method (terminal side), and the above method includes:

[0262] Step S3101, transmitting second information.

[0263] Optional implementations of step S3101 can be referred to optional implementations of step S2101 of FIG. 2 and other related parts in the embodiments related to FIG. 2, which will not be described here.

[0264] Step S3102, determining a first to-be-tested frequency in the to-be-tested frequencies according to a prediction function.

[0265] Optional implementations of step S3102 can be referred to optional implementations of step S2102 of FIG. 2 and other related parts in the embodiments related to FIG. 2, which will not be described here.

[0266] Step S3103, transmitting first information.

[0267] Optional implementations of step S3103 can be referred to optional implementations of step S2103 of FIG. 2 and other related parts in the embodiments related to FIG. 2, which will not be described here.

[0268] The communication method related to the embodiments of the present disclosure can include at least one of steps S3101-S3103. For example, step S3101 can be implemented as an independent embodiment, step S3102 can be implemented as an independent embodiment, step S3103 can be implemented as an independent embodiment, step S3101+step S3103 can be implemented as an independent embodiment, step S3102+step S3103 can be implemented as an independent embodiment, but the present disclosure is not limited thereto.

[0269] In some embodiments, the order of step S3101 and step S3102 can be exchanged or performed simultaneously.

[0270] In some embodiments, steps S3101-S3102 are optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0271] In the embodiments of the present disclosure, part or all of the steps, and optional implementation manners thereof, can be combined with part or all of the steps in other embodiments, or combined with optional implementation manners of other embodiments.

[0272] FIG. 3B is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 3B, the embodiments of the present disclosure relate to a communication method (terminal side), and the above method includes:

[0273] Step S3201, transmitting second information.

[0274] Optional implementation manners of step S3201 can be referred to optional implementation manners of step S2101 in FIG. 2, step S3101 in FIG. 3A, and other associated parts in the embodiments related to FIG. 2 and FIG. 3A, which will not be described here.

[0275] Step S3202, transmitting first information.

[0276] Optional implementation manners of step S3202 can be referred to optional implementation manners of step S2103 in FIG. 2, step S3103 in FIG. 3A, and other associated parts in the embodiments related to FIG. 2 and FIG. 3A, which will not be described here.

[0277] The communication method related to the embodiments of the present disclosure can include at least one of steps S3201-S3202. For example, step S3201 can be implemented as an independent embodiment, and step S3202 can be implemented as an independent embodiment.

[0278] In some embodiments, step S3201 is optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0279] In the embodiments of the present disclosure, part or all of the steps, and optional implementation manners thereof, can be combined with part or all of the steps in other embodiments, or combined with optional implementation manners of other embodiments.

[0280] FIG. 3C is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 3C, the embodiment of the present disclosure relates to a communication method (terminal side), and the above method comprises the following steps:

[0281] In step S3301, according to a prediction function, a first to-be-tested frequency in the to-be-tested frequencies is determined.

[0282] Optional implementation manners of step S3301 can refer to optional implementation manners of step S2102 in FIG. 2, step S3102 in FIG. 3A, and other associated parts in the embodiments related to FIG. 2, FIG. 3A and FIG. 3B, which will not be repeated here.

[0283] In step S3302, the first information is sent.

[0284] Optional implementation manners of step S3302 can refer to optional implementation manners of step S2103 in FIG. 2, step S3103 in FIG. 3A, step S3202 in FIG. 3B, and other associated parts in the embodiments related to FIG. 2, FIG. 3A and FIG. 3B, which will not be repeated here.

[0285] The communication method related to the embodiments of the present disclosure can comprise at least one of steps S3301-S3302. For example, step S3301 can be implemented as an independent embodiment, and step S3302 can be implemented as an independent embodiment.

[0286] In some embodiments, step S3301 is optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0287] In the embodiments of the present disclosure, part or all of the steps, and optional implementation manners thereof, can be combined with part or all of the steps in other embodiments, or combined with optional implementation manners of other embodiments.

[0288] FIG. 3D is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 3D, the embodiment of the present disclosure relates to a communication method (terminal side), and the above method comprises the following steps:

[0289] In step S3401, the first information is sent.

[0290] The optional implementation of step S3401 can refer to the optional implementation of step S2103 in FIG. 2, step S3103 in FIG. 3A, step S3202 in FIG. 3B, step S3302 in FIG. 3C, and other associated parts in the embodiments related to FIG. 2, FIG. 3A, FIG. 3B, and FIG. 3C, which are not described here again.

[0291] In some embodiments, the first information is sent to the network device, and the first information is used to indicate the related information of the prediction function of the terminal.

[0292] In some embodiments, the first information includes at least one of:

[0293] The first auxiliary information is used to indicate the association relationship between the configuration information of the measurement gap and the related information of the prediction function;

[0294] The second auxiliary information is used to indicate the association relationship between the configuration information of the measurement time and the prediction accuracy of the prediction function.

[0295] In some embodiments, the related information of the prediction function includes at least one of:

[0296] The measurement frequency at which the terminal can obtain the measurement result based on the prediction function;

[0297] The proportion of the measurement frequency at which the terminal can obtain the measurement result based on the prediction function in all measurement frequencies;

[0298] The prediction accuracy of the terminal based on the prediction function for measurement prediction;

[0299] The first indication is used to indicate that the terminal can realize inter-frequency measurement prediction based on the prediction function;

[0300] The second indication is used to indicate that the reason why the terminal recommends the configuration information is that the terminal can realize measurement prediction based on the prediction function.

[0301] In some embodiments, the configuration information of the measurement gap includes at least one of:

[0302] The start time of the measurement gap;

[0303] The length of the measurement gap;

[0304] The period of the measurement gap;

[0305] The offset of the measurement gap;

[0306] The gap identifier of the measurement gap;

[0307] The gap type of the measurement gap;

[0308] The timing advance of the measurement gap;

[0309] a reference cell of the measurement gap;

[0310] a third indication, the third indication indicating that the measurement gap is a non-contention synchronization gap (NCSG);

[0311] a fourth indication, the fourth indication indicating that the measurement gap is a preconfigured measurement gap;

[0312] a priority of the measurement gap;

[0313] a sharing mode configuration of the measurement gap.

[0314] In some embodiments, the first assistance information comprises at least one of:

[0315] at least one first configuration information of the measurement gap recommended by the terminal, and a reason for each first configuration information recommended by the terminal;

[0316] at least one first configuration information of the measurement gap recommended by the terminal, and a prediction accuracy corresponding to each first configuration information.

[0317] In some embodiments, the configuration information of the measurement time comprises at least one of:

[0318] a measurement period, the measurement period indicating a time for the terminal to measure a corresponding frequency or cell to obtain an effective measurement result;

[0319] a sample period, the sample period indicating a time interval between two measurement samples obtained by the terminal;

[0320] a sample number, the sample number indicating a number of measurement samples required by the terminal to obtain an effective measurement result.

[0321] In some embodiments, the second assistance information comprises a set of first lists, each first list indicating a prediction accuracy of a prediction function and configuration information of the measurement time corresponding to input data required by the prediction function.

[0322] In some embodiments, the prediction function comprises one or more prediction tasks, and the second assistance information comprises one or more sets of first lists, each set of first lists corresponding to a prediction task;

[0323] For any first list, the first list corresponds to a first prediction task, and the first list indicates at least one of:

[0324] a list of measurement frequencies and / or cells corresponding to input data of the first prediction task;

[0325] a list of measurement frequencies and / or cells corresponding to output data of the first prediction task;

[0326] a prediction accuracy of the first prediction task, and configuration information corresponding to measurement time of input data required by the first prediction task.

[0327] In some embodiments, the method comprises:

[0328] determining, according to the prediction function, a first to-be-measured frequency among the to-be-measured frequencies;

[0329] wherein a measurement corresponding to the first to-be-measured frequency can be implemented based on the prediction function, and the first to-be-measured frequency is used by the terminal to determine related information of the prediction function.

[0330] In some embodiments, determining, according to the prediction function, a first to-be-measured frequency among the to-be-measured frequencies comprises at least one of:

[0331] determining the first to-be-measured frequency according to a frequency offset requirement of a deployment frequency corresponding to the prediction function;

[0332] determining the first to-be-measured frequency according to an input frequency range and an output frequency range corresponding to the prediction function;

[0333] determining the first to-be-measured frequency according to a pre-configuration rule and / or a pre-configuration algorithm of the terminal.

[0334] In some embodiments, the method comprises:

[0335] sending, to the network device, second information, the second information being used to indicate whether the terminal supports sending the first information.

[0336] FIG. 3E is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 3E, the embodiment of the present disclosure relates to a communication method (terminal side), and the above method comprises:

[0337] Step S3501: sending second information.

[0338] The optional implementation of step S3501 can refer to the optional implementation of step S2101 in FIG. 2, the optional implementation of step S3101 in FIG. 3A, and other associated parts in the embodiments related to FIG. 2, FIG. 3A, FIG. 3B, FIG. 3C, FIG. 3D, which will not be described here.

[0339] In the embodiment of the present disclosure, the second information can be used to indicate that the terminal does not support sending the first information.

[0340] In some embodiments, after performing step S3501, the terminal can not perform the steps after step S3101 as shown in FIG. 3A.

[0341] In some embodiments, after receiving the second information, the network device can not expect to receive the first information sent by the terminal.

[0342] In the embodiments of the present disclosure, part or all of the steps, and optional implementation manners thereof, can be combined with part or all of the steps in other embodiments, or combined with optional implementation manners of other embodiments.

[0343] FIG. 4A is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 4A, the embodiment of the present disclosure relates to a communication method (network device side), and the above method comprises the following steps:

[0344] In step S4101, second information is acquired.

[0345] Optional implementation manners of step S4101 can refer to optional implementation manners of step S2101 in FIG. 2 and other associated parts in the embodiments related to FIG. 2, which will not be repeated here.

[0346] In step S4102, first information is acquired.

[0347] Optional implementation manners of step S4102 can refer to optional implementation manners of step S2103 in FIG. 2 and other associated parts in the embodiments related to FIG. 2, which will not be repeated here.

[0348] The communication method related to the embodiments of the present disclosure can comprise at least one of steps S4101-S4102. For example, step S4101 can be implemented as an independent embodiment, and step S4102 can be implemented as an independent embodiment.

[0349] In some embodiments, step S4101 is optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0350] In the embodiments of the present disclosure, part or all of the steps, and optional implementation manners thereof, can be combined with part or all of the steps in other embodiments, or combined with optional implementation manners of other embodiments.

[0351] FIG. 4B is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 4B, the embodiment of the present disclosure relates to a communication method (network device side), and the above method comprises the following steps:

[0352] In step S4201, first information is acquired.

[0353] Optional implementation manners of step S4201 can refer to optional implementation manners of step S2103 in FIG. 2, step S4102 in FIG. 4A, and other associated parts in the embodiments related to FIG. 2 and FIG. 4B, which will not be repeated here.

[0354] In some embodiments, the terminal sends the first information, and the first information is used to indicate the related information of the prediction function of the terminal.

[0355] In some embodiments, the first information comprises at least one of:

[0356] first auxiliary information, the first auxiliary information being used for indicating an association relationship between configuration information of a measurement gap and related information of a prediction function;

[0357] second auxiliary information, the second auxiliary information being used for indicating an association relationship between configuration information of a measurement time and a prediction accuracy of the prediction function.

[0358] In some embodiments, the related information of the prediction function comprises at least one of:

[0359] a measurement frequency at which the terminal is capable of obtaining a measurement result based on the prediction function;

[0360] a proportion of a measurement frequency at which the terminal is capable of obtaining a measurement result based on the prediction function in all measurement frequencies;

[0361] a prediction accuracy at which the terminal performs measurement prediction based on the prediction function;

[0362] a first indication, the first indication being used for indicating that the terminal is capable of implementing inter-frequency measurement prediction based on the prediction function;

[0363] a second indication, the second indication being used for indicating that a reason why the terminal recommends the configuration information is that the terminal is capable of implementing measurement prediction based on the prediction function.

[0364] In some embodiments, the configuration information of the measurement gap comprises at least one of:

[0365] a start time of the measurement gap;

[0366] a length of the measurement gap;

[0367] a period of the measurement gap;

[0368] an offset of the measurement gap;

[0369] a gap identification of the measurement gap;

[0370] a gap type of the measurement gap;

[0371] a timing advance of the measurement gap;

[0372] a reference cell of the measurement gap;

[0373] a third indication, the third indication being used for indicating that the measurement gap is a non-contention synchronous gap (NCSG);

[0374] a fourth indication, the fourth indication being used for indicating that the measurement gap is a preconfigured measurement gap;

[0375] a priority of the measurement gap;

[0376] A sharing mode of the measurement gap is configured.

[0377] In some embodiments, the first assistance information comprises at least one of:

[0378] at least one first configuration information of the measurement gap recommended by the terminal, and a reason for the terminal to recommend each first configuration information;

[0379] at least one first configuration information of the measurement gap recommended by the terminal, and a predicted accuracy corresponding to each first configuration information.

[0380] In some embodiments, the configuration information of the measurement time comprises at least one of:

[0381] a measurement period, the measurement period being used to indicate a time for the terminal to measure a corresponding frequency or cell to obtain a valid measurement result;

[0382] a sample period, the sample period being used to indicate a time interval between two measurement samples obtained by the terminal;

[0383] a sample number, the sample number being used to indicate a number of measurement samples required by the terminal to obtain a valid measurement result.

[0384] In some embodiments, the second assistance information comprises a set of first lists, each first list being used to indicate a predicted accuracy of a prediction function, and configuration information of the measurement time corresponding to input data required by the prediction function.

[0385] In some embodiments, the prediction function comprises one or more prediction tasks, and the second assistance information comprises one or more sets of first lists, each set of first lists corresponding to a prediction task;

[0386] For any first list, the first list corresponds to a first prediction task, and the first list is used to indicate at least one of:

[0387] a list of measurement frequencies and / or cells corresponding to input data of the first prediction task;

[0388] a list of measurement frequencies and / or cells corresponding to output data of the first prediction task;

[0389] a predicted accuracy of the first prediction task, and configuration information of the measurement time corresponding to input data required by the first prediction task.

[0390] In some embodiments, the method comprises:

[0391] sending, to the network device, second information used to indicate whether the terminal supports sending the first information.

[0392] In the embodiments of the present disclosure, part or all of the steps, and optional implementation manners thereof, can be combined with part or all of the steps in other embodiments, or combined with optional implementation manners of other embodiments.

[0393] FIG. 5 is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 5, the embodiment of the present disclosure relates to a communication method, and the method comprises:

[0394] In step S5101, the UE sends Gap configuration related assistance information to the network, and the assistance information is used for the network side to configure a suitable measurement Gap for the UE.

[0395] In some embodiments, the assistance information can include one or more of the following information: association information between measurement Gap related configuration information and AI / ML prediction function; and association information between measurement time related information and prediction accuracy.

[0396] Optionally, the association information between the measurement Gap related configuration information and the AI / ML prediction function can include AI / ML function information on the UE side, and / or one or more measurement Gap related configuration information (Gap configuration information list) recommended by the UE.

[0397] In some embodiments, the UE determines the to-be-measured frequencies (MOs) for which measurement results need to be obtained based on the measurement configuration, and the UE evaluates which to-be-measured frequencies (MOs) can obtain measurement results through AI / ML prediction without real measurement based on the existing AI / ML function and model. Based on the above information, the UE can report the AI / ML function information on the UE side to the network.

[0398] For example, the UE can determine whether some frequencies (MOs) can be predicted based on the frequency offset requirement of the deployment frequency indicated in the AI / ML function. Wherein, the frequency corresponding to the relevant cell level or beam level measurement result as the AI / ML input and the frequency corresponding to the relevant cell level or beam level measurement result as the AI / ML input satisfy the frequency offset requirement of the AI / ML function.

[0399] For example, the UE can determine whether some MOs can be predicted based on the input frequency and output frequency range indicated in the AI / ML function. Wherein, the frequency corresponding to the relevant cell level or beam level measurement result as the AI / ML input and the frequency corresponding to the relevant cell level or beam level measurement result as the AI / ML input need to be within the input frequency and output frequency range indicated by the AI / ML function.

[0400] For example, the UE can also determine which frequencies of the configured to-be-measured frequencies can obtain measurement results through prediction based on the implementation.

[0401] In some embodiments, the AI / ML function information can be one or more of the following:

[0402] The UE can obtain the frequency configuration information for prediction of measurement results;

[0403] MO configuration information, such as a list of MO identifiers;

[0404] The UE can obtain the proportion of frequencies for measurement in the total frequencies to be measured, such as the ratio of the number of MOs that can be predicted to the total number of MOs configured for the UE;

[0405] First indication information for indicating that the UE supports inter-F RRM prediction, which can optionally include function definition information corresponding to the AI / ML function, such as frequency offset of input and output, and frequency range of input and output;

[0406] Second indication information for indicating that the configuration of the measurement gap is recommended because the UE supports RRM measurement prediction;

[0407] The prediction accuracy of the AI / ML prediction model can be the corresponding accuracy of the prediction model under different types of input data, such as the measurement accuracy corresponding to the measurement period corresponding to the input data.

[0408] In some embodiments, the measurement gap related configuration information can include any one or more of the following:

[0409] The start time of the gap, which can be represented by SFN and subframe; the gap length; the gap period; the gap offset; the gap identifier; the gap type, which can be per UE, per FR1, or per FR2; the gap timing advance; the gap reference cell, which can be the cell corresponding to the start time of the gap, such as the primary cell (PCell) or the primary synchronization cell (PSCell); the NCSG gap indication; the preconfigured gap indication; the gap priority; and the gap sharing mode configuration.

[0410] In some embodiments, the association information between the measurement gap related configuration information and the AI / ML prediction function can include any one or more of the following:

[0411] The assistance information contains one or more measurement gap related configuration information recommended by the UE, and indication information of the reason for recommending the configuration information, which indicates the UE side to make RRM measurement result prediction.

[0412] The assistance information contains one or more measurement gap related configuration information recommended by the UE, and the accuracy of AI / ML prediction corresponding to the gap configuration information.

[0413] For example, the assistance information is a list, and each element in the list contains the following information: the configuration information of a measurement gap and the corresponding AI / ML prediction accuracy. If multiple AI / ML prediction models are involved, the average accuracy of multiple AI / ML prediction models can be included in the assistance information.

[0414] In some embodiments, the association information between the measurement time related information and the prediction accuracy can include any one or more of the following information:

[0415] A list of association information, and each element in the list contains the prediction accuracy of AI / ML and the corresponding measurement time related information of the required input data. If multiple AI / ML prediction models are involved, the average accuracy of multiple AI / ML prediction models can be included in the assistance information.

[0416] Multiple lists of association information, where each list corresponds to an AI / ML prediction task. Each list of association information contains any one or more of the following information: the measurement frequency and / or cell list corresponding to the input data of the prediction task; the measurement frequency and / or cell list corresponding to the output data of the prediction task; a list of association information, and each element contains the prediction accuracy of AI / ML of the task and the corresponding measurement time related information of the required input data.

[0417] In some embodiments, the measurement time related information includes any one or more of the following information:

[0418] Measurement period: the time for the UE to obtain an effective measurement result of the corresponding frequency or cell;

[0419] Sample period: the time for the UE to obtain two measurement samples;

[0420] Sample number: the number of measurement samples required by the UE to obtain an effective measurement result.

[0421] In some embodiments, the UE reports UE capability to the network device to indicate whether the UE supports reporting the above-mentioned assistance information.

[0422] In the above embodiments, the UE can carry indication information when reporting the UE-recommended measurement gap configuration, indicating that the UE has an Inter-Frequency AI / ML prediction function. The AI / ML prediction function can predict which frequencies. In addition, the UE can also report the influence of the measurement gap related configuration on the accuracy of the AI / ML prediction function. Based on the above two kinds of auxiliary information, the network side can configure a suitable measurement gap for the UE, thereby reducing unnecessary measurement and data interruption.

[0423] In the embodiments of the present disclosure, part or all of the steps, optional implementation manners thereof, can be combined with part or all of the steps in other embodiments, or can be combined with optional implementation manners of other embodiments.

[0424] The embodiments of the present disclosure also propose a device for implementing any of the above methods, for example, a device including units or modules for implementing each step performed by the terminal in any of the above methods. For another example, another device is also proposed, including units or modules for implementing each step performed by the network equipment (such as access network equipment, core network function node, core network equipment, etc.) in any of the above methods.

[0425] It should be understood that the division of each unit or module in the above apparatus is only a logical function division, and all or part of them can be integrated into a physical entity or physically separated in actual implementation. In addition, the units or modules in the apparatus can be implemented in the form of processor calling software: for example, the apparatus includes a processor, the processor is connected with a memory, the memory stores instructions, and the processor calls the instructions stored in the memory to realize the functions of any of the above methods or the units or modules of the above apparatus, wherein the processor is a general processor such as a central processing unit (CPU) or a microprocessor, and the memory is a memory in the apparatus or a memory outside the apparatus. Alternatively, the units or modules in the apparatus can be implemented in the form of hardware circuit, and the functions of part or all of the units or modules can be realized by the design of the hardware circuit. The above hardware circuit can be understood as one or more processors; for example, in one implementation, the above hardware circuit is an application-specific integrated circuit (ASIC), and the functions of part or all of the units or modules are realized by the design of the logical relationship between the elements in the circuit; for another example, in another implementation, the above hardware circuit is a programmable logic device (PLD), and a field programmable gate array (FPGA) is taken as an example, which can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, so as to realize the functions of part or all of the units or modules. All units or modules of the above apparatus can be all implemented in the form of processor calling software, or all implemented in the form of hardware circuit, or part implemented in the form of processor calling software and the remaining part implemented in the form of hardware circuit.

[0426] In embodiments of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and running capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), a digital signal processor (DSP), or the like. In another implementation, the processor can implement certain functions through a logical relationship of hardware circuit. The logical relationship of the hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In the reconfigurable hardware circuit, the processor loads a configuration document to implement the configuration of the hardware circuit. It can be understood that the processor loads instructions to implement the functions of part or all of the units or modules described above. In addition, the hardware circuit can also be designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), or the like.

[0427] FIG. 6A is a structural schematic diagram of a terminal according to an embodiment of the present disclosure. As shown in FIG. 6A, the terminal 6100 can include at least one of a transceiver module 6101, a processing module 6102, and the like. Optionally, the transceiver module 6101 is configured to perform at least one of the communication steps, such as sending and / or receiving, performed by the terminal in any of the methods described above. Details are not described herein again. Optionally, the processing module 6102 is configured to perform at least one of the other steps performed by the terminal in any of the methods described above. Details are not described herein again.

[0428] FIG. 6B is a structural schematic diagram of a network device according to an embodiment of the present disclosure. As shown in FIG. 6B, the network device 6200 can include at least one of a transceiver module 6201, a processing module 6202, and the like. Optionally, the transceiver module 6201 is configured to perform at least one of the communication steps, such as sending and / or receiving, performed by the network device in any of the methods described above. Details are not described herein again. Optionally, the processing module 6202 is configured to perform at least one of the other steps performed by the network device in any of the methods described above. Details are not described herein again.

[0429] In some embodiments, the transceiving module can include a transmitting module and / or a receiving module, which can be separate or integrated together. Alternatively, the transceiving module can be mutually replaced with a transceiver.

[0430] In some embodiments, the processing module can be one module or include multiple sub-modules. Alternatively, the multiple sub-modules perform all or part of the steps required to be performed by the processing module, respectively. Alternatively, the processing module can be mutually replaced with a processor.

[0431] FIG. 7A is a structural schematic diagram of a communication device 7100 according to the embodiments of the present disclosure. The communication device 7100 can be a network device (such as an access network device, a core network device, etc.), a terminal (such as a user equipment, etc.), a chip, a chip system, or a processor supporting the network device to implement any of the above methods, or a chip, a chip system, or a processor supporting the terminal to implement any of the above methods. The communication device 7100 can be used to implement the methods described in the above method embodiments, and details can be referred to the descriptions in the above method embodiments.

[0432] As shown in FIG. 7A, the communication device 7100 includes one or more processors 7101. The processor 7101 can be a general-purpose processor or a special-purpose processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process data of the programs. Alternatively, the communication device 7100 is used to execute any of the above methods. Alternatively, the one or more processors 7101 are used to call instructions to enable the communication device 7100 to execute any of the above methods.

[0433] In some embodiments, the communication device 7100 further includes one or more transceivers 7102. When the communication device 7100 includes the one or more transceivers 7102, the transceiver 7102 performs at least one of the communication steps such as transmitting and / or receiving in the above methods, and the processor 7101 performs at least one of the other steps. In alternative embodiments, the transceiver can include a receiver and / or a transmitter, which can be separate or integrated together. Alternatively, the terms of transceiver, transceiving unit, transceiver, transceiving circuit, interface circuit, interface, etc. can be mutually replaced, and the terms of transmitter, transmitting unit, transmitter, transmitting circuit, etc. can be mutually replaced, and the terms of receiver, receiving unit, receiver, receiving circuit, etc. can be mutually replaced.

[0434] In some embodiments, the communication device 7100 further includes one or more memories 7103 for storing data. Alternatively, all or part of the memories 7103 can be external to the communication device 7100. In optional embodiments, the communication device 7100 can include one or more interface circuits 7104. Optionally, the interface circuit 7104 is connected to the memory 7103, and the interface circuit 7104 can be used to receive data from the memory 7103 or other devices, and can be used to send data to the memory 7103 or other devices. For example, the interface circuit 7104 can read data stored in the memory 7103 and send the data to the processor 7101.

[0435] The communication device 7100 described in the above embodiments can be a network device or a terminal, but the scope of the communication device 7100 described in the present disclosure is not limited thereto, and the structure of the communication device 7100 can not be limited by Figure 7A. The communication device can be a standalone device or can be part of a larger device. For example, the communication device can be: 1) a standalone integrated circuit (IC), or a chip, or a chip system or subsystem; (2) a set of one or more ICs, which can optionally include a storage component for storing data, programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, a smart terminal device, a cellular phone, a wireless device, a handset, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, etc.; (6) other devices, etc.

[0436] Figure 7B is a structural schematic diagram of a chip 7200 according to an embodiment of the present disclosure. For the case where the communication device 7100 is a chip or a chip system, the structural schematic diagram of the chip 7200 shown in Figure 7B can be referred to, but is not limited thereto.

[0437] The chip 7200 includes one or more processors 7201. The chip 7200 is configured to execute any of the above methods.

[0438] In some embodiments, the chip 7200 further includes one or more interface circuits 7202. Optionally, the terms interface circuit, interface, transceiver pin, etc. can be replaced by each other. In some embodiments, the chip 7200 further includes one or more memories 7203 for storing data. Optionally, all or part of the memories 7203 can be external to the chip 7200. Optionally, the interface circuit 7202 is connected to the memory 7203, and the interface circuit 7202 can be used to receive data from the memory 7203 or other devices, and the interface circuit 7202 can be used to send data to the memory 7203 or other devices. For example, the interface circuit 7202 can read data stored in the memory 7203 and send the data to the processor 7201.

[0439] In some embodiments, the interface circuit 7202 performs at least one of the communication steps such as transmitting and / or receiving in the above-described methods. The interface circuit 7202 performing the communication steps such as transmitting and / or receiving in the above-described methods refers to, for example, the interface circuit 7202 performing data interaction between the processor 7201, the chip 7200, the memory 7203, or a transceiver device. In some embodiments, the processor 7201 performs at least one of the other steps.

[0440] The modules and / or devices described in each of the embodiments of the virtual device, the physical device, the chip, etc. can be combined or separated according to actual conditions. Optionally, part or all of the steps can also be performed by a plurality of modules and / or devices in cooperation, which is not limited here.

[0441] The disclosure further proposes a storage medium having instructions stored thereon, which, when executed on the communication device 7100, causes the communication device 7100 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 is not limited to this, and it can also be a storage medium readable by other devices. Optionally, the storage medium can be a non-transitory storage medium, but is not limited to this, and it can also be a transitory storage medium.

[0442] The disclosure further proposes a program product, which, when executed by the communication device 7100, causes the communication device 7100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0443] The disclosure further proposes a computer program, which, when executed on a computer, causes the computer to perform any of the above methods.

Claims

1. A communication method characterized by comprising: The method is performed by a terminal, and the method comprises: sending first information to a network device, the first information being used for indicating related information of a prediction function of the terminal.

2. The method of claim 1, wherein, The first information comprises at least one of: first auxiliary information, the first auxiliary information being used for indicating an association relationship between configuration information of a measurement gap and the related information of the prediction function; second auxiliary information, the second auxiliary information being used for indicating an association relationship between configuration information of a measurement time and a prediction accuracy of the prediction function.

3. The method of claim 2, wherein, The related information of the prediction function comprises at least one of: a measurement frequency at which the terminal is capable of obtaining a measurement result based on the prediction function; a proportion of the measurement frequency at which the terminal is capable of obtaining a measurement result based on the prediction function in all measurement frequencies; a prediction accuracy at which the terminal performs measurement prediction based on the prediction function; first indication, the first indication being used for indicating that the terminal is capable of performing inter-frequency measurement prediction based on a prediction function; second indication, the second indication being used for indicating that a reason why the terminal recommends the configuration information is that the terminal is capable of performing measurement prediction based on a prediction function.

4. The method according to claim 2 or 3, characterized in that, The configuration information of the measurement gap comprises at least one of: a start time of the measurement gap; a length of the measurement gap; a period of the measurement gap; an offset of the measurement gap; a gap identifier of the measurement gap; a gap type of the measurement gap; a timing advance of the measurement gap; a reference cell of the measurement gap; third indication, the third indication being used for indicating that the measurement gap is a non-contention synchronization gap (NCSG); fourth indication, the fourth indication being used for indicating that the measurement gap is a preconfigured measurement gap; a priority of the measurement gap; a sharing mode configuration of the measurement gap.

5. The method according to any one of claims 2-4, characterized in that, The first auxiliary information comprises at least one of: at least one first configuration information of a measurement gap recommended by the terminal, and a reason why the terminal recommends each of the first configuration information; at least one first configuration information of a measurement gap recommended by the terminal, and a prediction accuracy corresponding to each of the first configuration information.

6. The method according to any one of claims 2-5, characterized in that, The configuration information of the measurement time comprises at least one of: a measurement period, the measurement period being used for indicating a time at which the terminal measures a corresponding frequency or cell to obtain a valid measurement result; a sample period, the sample period being used for indicating a time gap between two measurement samples obtained by the terminal; a sample number, the sample number being used for indicating a number of measurement samples required by the terminal to measure a valid measurement result.

7. The method according to any one of claims 2-6, characterized in that, The second auxiliary information comprises a group of first lists, each of the first lists being used for indicating a prediction accuracy of the prediction function and configuration information of a measurement time corresponding to input data required by the prediction function.

8. The method according to any one of claims 2-6, characterized in that, The prediction function comprises one or more prediction tasks, and the second auxiliary information comprises one or more groups of first lists, each of the groups of first lists corresponding to a prediction task; for any one of the first lists, the first list corresponding to a first prediction task, the first list being used for indicating at least one of: a measurement frequency and / or a cell list corresponding to input data of the first prediction task; a measurement frequency and / or a cell list corresponding to output data of the first prediction task; a prediction accuracy of the first prediction task, and configuration information corresponding to input data of the first prediction task for a measurement time.

9. The method according to any one of claims 2-8, characterized in that, The method comprises: determining a first to-be-measured frequency among to-be-measured frequencies according to the prediction function; wherein a measurement corresponding to the first to-be-measured frequency can be implemented based on the prediction function, and the first to-be-measured frequency is used by the terminal to determine related information of the prediction function.

10. The method of claim 9, wherein, The determination of the first to-be-measured frequency according to the prediction function comprises at least one of the following: determining the first to-be-measured frequency according to a frequency offset requirement of a deployment frequency corresponding to the prediction function; determining the first to-be-measured frequency according to an input frequency range and an output frequency range corresponding to the prediction function; determining the first to-be-measured frequency according to a pre-configuration rule and / or a pre-configuration algorithm of the terminal.

11. The method according to any one of claims 1 to 10, characterized in that, The method comprises: sending second information to the network device, the second information being used to indicate whether the terminal supports sending the first information.

12. A communication method, comprising: The method is performed by a network device, and the method comprises: receiving first information sent by a terminal, the first information being used to indicate related information of a prediction function of the terminal.

13. The method of claim 12, wherein, The first information comprises at least one of the following: first auxiliary information, the first auxiliary information being used to indicate an association relationship between configuration information of a measurement gap and the related information of the prediction function; second auxiliary information, the second auxiliary information being used to indicate an association relationship between configuration information of a measurement time and a prediction accuracy of the prediction function.

14. The method of claim 13, wherein, The related information of the prediction function comprises at least one of the following: a measurement frequency at which the terminal can obtain a measurement result based on the prediction function; a proportion of the measurement frequency at which the terminal can obtain a measurement result based on the prediction function in all measurement frequencies; a prediction accuracy at which the terminal performs measurement prediction based on the prediction function; first indication, the first indication being used to indicate that the terminal can implement measurement prediction between frequencies based on the prediction function; second indication, the second indication being used to indicate that the terminal recommends the configuration information because the terminal can implement measurement prediction based on the prediction function.

15. The method according to claim 13 or 14, characterized in that, The configuration information of the measurement gap comprises at least one of the following: a start time of the measurement gap; a length of the measurement gap; a period of the measurement gap; an offset of the measurement gap; a gap identifier of the measurement gap; a gap type of the measurement gap; a timing advance of the measurement gap; a reference cell of the measurement gap; third indication, the third indication being used to indicate that the measurement gap is a non-contention synchronization gap (NCSG); fourth indication, the fourth indication being used to indicate that the measurement gap is a pre-configured measurement gap; a priority of the measurement gap; a sharing mode configuration of the measurement gap.

16. The method according to any one of claims 13-15, characterized in that, The first auxiliary information comprises at least one of the following: at least one first configuration information of a measurement gap recommended by the terminal, and a reason why the terminal recommends each of the first configuration information. The terminal-recommended at least one first configuration information for a measurement gap, and a prediction accuracy corresponding to each of the first configuration information.

17. The method according to any one of claims 13-16, characterized by, The configuration information of the measurement time comprises at least one of: a measurement period, which is used to indicate a time for the terminal to measure a corresponding frequency or cell to obtain a valid measurement result; a sample period, which is used to indicate a time interval between two measurement samples obtained by the terminal; a sample number, which is used to indicate a number of measurement samples required by the terminal to obtain a valid measurement result.

18. The method according to any one of claims 13-17, characterized by, The second assistance information comprises a set of first lists, each of the first lists is used to indicate a prediction accuracy of a prediction task, and configuration information of a measurement time corresponding to input data required by the prediction task.

19. The method according to any one of claims 13-17, characterized in that, The prediction function comprises one or more prediction tasks, and the second assistance information comprises one or more sets of first lists, each of the sets of first lists corresponds to a prediction task. For any one of the first lists, the first list corresponds to a first prediction task, and the first list is used to indicate at least one of: a list of measurement frequencies and / or cells corresponding to input data of the first prediction task; a list of measurement frequencies and / or cells corresponding to output data of the first prediction task; a prediction accuracy of the first prediction task, and configuration information of a measurement time corresponding to input data required by the first prediction task.

20. The method according to any one of claims 12-19, characterized by, The method comprises: sending, to the network device, second information used to indicate whether the terminal supports sending the first information.

21. A communications device, characterized by Comprise: a transceiver module configured to send, to a network device, first information used to indicate related information of a prediction function of a terminal.

22. A communications device, characterized by Comprise: a transceiver module configured to receive first information sent by a terminal, the first information being used to indicate related information of a prediction function of the terminal.

23. A communications device, characterized by Comprise: one or more processors; The communication device is configured to perform the communication method of any one of claims 1-11 or any one of claims 12-20.

24. A communication system, characterized by Comprise a network device and a terminal, the terminal is configured to implement the communication method of any one of claims 1-11, and the network device is configured to implement the communication method of any one of claims 12-20.

25. A storage medium, the storage medium storing instructions, wherein, When the instructions run on the communication device, the communication device is caused to perform the communication method of any one of claims 1-11 or any one of claims 12-20.

26. A computer program product comprising computer programs and / or instructions, characterized in that, The computer program and / or the instructions implement the communication method of any one of claims 1-11 or any one of claims 12-20 when executed by a communication device.

Images