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

Abstract

The invention relates to a communication method, a terminal, network equipment, a system, a medium and a computer program product. The communication method executed by the terminal comprises the following steps: receiving first information sent by network equipment; determining a first type of cells and / or a second type of cells according to the first information; and taking the measured data of the first type of cells as input of an artificial intelligence (AI) function, and predicting prediction data of the second type of cells. The accuracy of the prediction result can be improved.

Description

Communication methods, terminals, network equipment, systems, media, and computer program products Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to a communication method, terminal, network device, system, medium, and computer program product. Background Technology

[0002] Machine learning algorithms are one of the most important methods for implementing artificial intelligence (AI) technology. Machine learning can obtain models from large amounts of training data, and these models can then be used to predict events. In many fields, machine learning models can achieve very accurate predictions. In the field of communication technology, models can also be applied to event prediction.

[0003] Summary of the Invention

[0004] This disclosure provides a communication method, terminal, network device, system, medium, and computer program product.

[0005] According to a first aspect of the present disclosure, a communication method is proposed, executed by a terminal, the method comprising: receiving first information sent by a network device; determining a first type of cell and / or a second type of cell based on the first information; and using measured data of the first type of cell as input to an artificial intelligence (AI) function to predict predicted data of the second type of cell.

[0006] According to a second aspect of the present disclosure, a communication method is proposed, performed by a network device, the method comprising: sending first information to a terminal, the first information being used to indicate a first type of cell and / or a second type of cell, wherein measured data of the first type of cell is used as input for an artificial intelligence (AI) function, and predicting predicted data of the second type of cell.

[0007] According to a third aspect of the present disclosure, a terminal is provided, comprising: a transceiver module for receiving first information sent by a network device; and a processing module for determining a first type of cell and / or a second type of cell based on the first information; and using measured data of the first type of cell as input to an artificial intelligence (AI) function to predict predicted data of the second type of cell.

[0008] According to a fourth aspect of the present disclosure, a network device is provided, comprising: a transceiver module, configured to send first information to a terminal, the first information being configured to indicate a first type of cell and / or a second type of cell, wherein measured data of the first type of cell is used as input for an artificial intelligence (AI) function to predict predicted data of the second type of cell.

[0009] According to a fifth aspect of the present disclosure, a terminal is provided, comprising: one or more processors; and a memory coupled to the processors, the memory storing executable instructions that, when executed by the processors, cause the terminal to perform the communication method described in the first aspect.

[0010] According to a sixth aspect of the present disclosure, a network device is provided, comprising: one or more processors; and a memory coupled to the processors, the memory storing executable instructions that, when executed by the processors, cause the network device to perform the communication method described in the second aspect.

[0011] According to a seventh aspect of the present disclosure, a communication system is provided, including a terminal and a network device, wherein the network device is configured to send first information to the terminal, the first information indicating a first type of cell and / or a second type of cell; the terminal is configured to receive the first information sent by the network device; determine the first type of cell and / or the second type of cell based on the first information; and use measured data of the first type of cell as input to an artificial intelligence (AI) function to predict predicted data of the second type of cell.

[0012] According to an eighth aspect of the present disclosure, a storage medium is provided that stores instructions that, when executed on a communication device, cause the communication device to perform the communication method described in the first or second aspect.

[0013] According to a ninth aspect of the present disclosure, a computer program product is provided, comprising a computer program and / or instructions that, when executed by a communication device, implement the communication method described in the first or second aspect.

[0014] By adopting the above technical solution, at least the following beneficial technical effects can be achieved:

[0015] The terminal uses AI functions to make data predictions on the specified cells to be predicted based on the measured cells specified by the network equipment, which can improve the accuracy of the prediction results. Attached Figure Description

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

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

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

[0019] Figure 3A is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0020] Figure 3B is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0021] Figure 3C is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0022] Figure 4A is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0023] Figure 4B is a flowchart illustrating a communication method according to an embodiment of the present disclosure.

[0024] Figure 5 is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure.

[0025] Figure 6 is a schematic diagram of the structure of a terminal according to an embodiment of the present disclosure.

[0026] Figure 7 is a schematic diagram of the structure of a network device according to an embodiment of the present disclosure.

[0027] Figure 8A is a schematic diagram of the structure of a communication device according to an embodiment of the present disclosure.

[0028] Figure 8B is a schematic diagram of the structure of a chip according to an embodiment of the present disclosure. Detailed Implementation

[0029] This disclosure provides a communication method, terminal, network device, system, medium, and computer program product.

[0030] In a first aspect, embodiments of this disclosure propose a communication method executed by a terminal, the method comprising: receiving first information sent by a network device; determining a first type of cell and / or a second type of cell based on the first information; and using measured data of the first type of cell as input to an artificial intelligence (AI) function to predict predicted data of the second type of cell.

[0031] In the above embodiments, by indicating the first type of cell and / or the second type of cell to the terminal through the network device, the terminal can easily select appropriate measured cells and cells to be predicted. The terminal uses AI functions to perform data prediction on the specified cells to be predicted based on the measured cells specified by the network device, which can improve the accuracy of the prediction results.

[0032] In conjunction with some embodiments of the first aspect, in some embodiments, the measured data is obtained by cell measurement of the first type of cell, or the measured data is obtained by beam measurement of the beam of the first type of cell.

[0033] In the above embodiments, measured data can be obtained by performing cell measurements on the first type of cell, or by performing beam measurements on the beams of the first type of cell. Based on the measured data of the first type of cell, predicted data for the second type of cell can be predicted. This predicted data can be either the predicted cell measurement results or the predicted cell beam measurement results.

[0034] In conjunction with some embodiments of the first aspect, in some embodiments, the first type of cell and the second type of cell have at least one of the following relationships:

[0035] Shared site;

[0036] Different frequencies;

[0037] Related to wireless signal transmission channels.

[0038] In the above embodiments, by selecting first-type cells and second-type cells that have at least one of the above relationships as the input and output of the AI ​​function, the prediction effect of the AI ​​function can be improved, and prediction data of second-type cells with higher accuracy can be obtained.

[0039] In conjunction with some embodiments of the first aspect, in some embodiments, before receiving the first information sent by the network device, the method includes: sending second information to the network device, wherein the second information is used to request the first information, and / or, the second information is used to request the network device to allow the terminal to predict cell measurement data.

[0040] In the above embodiments, the terminal sends second information to the network device, and the network device, in response to receiving the second information, sends first information to the terminal. This specifies that the first information is sent to the terminal at the terminal's request, which can avoid invalid transmission of the first information and avoid wasting communication resources.

[0041] In conjunction with some embodiments of the first aspect, in some embodiments, the first information includes a first identifier, the first identifier being used to indicate the first type of cell, and determining the first type of cell based on the first information includes: determining the cell corresponding to the first identifier as the first type of cell.

[0042] In the above embodiments, the network device can indicate to the terminal through the first information that the cell with the first identifier is a first type of cell, thereby improving communication efficiency.

[0043] In conjunction with some embodiments of the first aspect, in some embodiments, the first information includes a second identifier, the second identifier being used to indicate the second type of cell, and determining the second type of cell based on the first information includes: determining the cell corresponding to the second identifier as the second type of cell.

[0044] In the above embodiments, the network device can indicate to the terminal through the first information that the cell with the second identifier is a second type of cell, thereby improving communication efficiency.

[0045] In conjunction with some embodiments of the first aspect, in some embodiments, the second information includes a first identifier of a first cell, the first cell belonging to the first type of cell, and the second information is used to request the network device to indicate the second type of cell.

[0046] In the above embodiments, the terminal can request a second type of cell corresponding to the first type of cell with the first identifier by sending second information including the first identifier to the network device. This can reduce the amount of information in the first information and make it easier for the terminal to obtain the required second type of cell.

[0047] In conjunction with some embodiments of the first aspect, in some embodiments, the second information includes a second identifier of a second cell, the second cell belonging to the second type of cell, and the second information is used to request the network device to indicate the first type of cell.

[0048] In the above embodiments, the terminal can request a first type cell corresponding to the second type cell of the second identifier from the network device by sending second information including the second identifier to the network device. This can reduce the amount of information in the first information and make it easier for the terminal to obtain the required first type cell.

[0049] In conjunction with some embodiments of the first aspect, in some embodiments, the first information is used to indicate a first cell list, and determining the first type of cell based on the first information includes: determining the cells in the first cell list as the first type of cell.

[0050] In the above embodiments, the first information can indicate which cells are included in the first type of cells.

[0051] In conjunction with some embodiments of the first aspect, in some embodiments, the first information is used to indicate a second cell list, and determining the second type of cell based on the first information includes: determining the cells in the second cell list as the second type of cell.

[0052] In the above embodiments, the first information can indicate which cells are included in the second type of cells.

[0053] In conjunction with some embodiments of the first aspect, in some embodiments, the first information is broadcast by the network device via a system message, or the first information is sent by the network device via dedicated signaling.

[0054] In the above embodiments, the transmission method of the first information is specified.

[0055] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes: receiving system information sent by the network device; and determining the identifier corresponding to one or more cells based on the system information.

[0056] Secondly, embodiments of this disclosure propose a communication method executed by a network device, the method comprising: sending first information to a terminal, the first information being used to indicate a first type of cell and / or a second type of cell, wherein measured data of the first type of cell is used as input for an artificial intelligence (AI) function to predict predicted data of the second type of cell.

[0057] In conjunction with some embodiments of the second aspect, in some embodiments, the measured data of the first type of cell is obtained by the terminal performing cell measurement on the first type of cell, or the measured data is obtained by the terminal performing beam measurement on the beam of the first type of cell.

[0058] In conjunction with some embodiments of the second aspect, in some embodiments, the first type of cell and the second type of cell have at least one of the following relationships:

[0059] Shared site;

[0060] Different frequencies;

[0061] Related to wireless signal transmission channels.

[0062] In conjunction with some embodiments of the second aspect, in some embodiments, before sending the first information to the terminal, the method includes: receiving second information sent by the terminal, wherein the second information is used to request the first information, and / or, the second information is used to request the network device to allow the terminal to predict cell measurement data.

[0063] In conjunction with some embodiments of the second aspect, in some embodiments, the first information includes a first identifier, which is used to indicate the first type of cell.

[0064] In conjunction with some embodiments of the second aspect, in some embodiments, the first information includes a second identifier, which is used to indicate the second type of cell.

[0065] In conjunction with some embodiments of the second aspect, in some embodiments, the second information includes a first identifier of a first cell, the first cell belonging to the first type of cell, and the second information is used to request the network device to indicate the second type of cell.

[0066] In conjunction with some embodiments of the second aspect, in some embodiments, the second information includes a second identifier of a second cell, the second cell belonging to the second type of cell, and the second information is used to request the network device to indicate the first type of cell.

[0067] In conjunction with some embodiments of the second aspect, in some embodiments, the first information is used to indicate a first cell list, wherein the cells in the first cell list are cells of the first type.

[0068] In conjunction with some embodiments of the second aspect, in some embodiments, the first information is used to indicate a second cell list, wherein the cells in the second cell list are cells of the second type.

[0069] In conjunction with some embodiments of the second aspect, in some embodiments, sending the first information to the terminal includes: broadcasting the first information via a system message, or sending the first information via dedicated signaling.

[0070] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes: sending system information to the terminal, the system information being used to indicate the identifiers corresponding to one or more cells.

[0071] Thirdly, embodiments of this disclosure propose a terminal, which includes at least one of a transceiver module and a processing module; wherein the terminal is used to execute an optional implementation of the first aspect.

[0072] Fourthly, embodiments of this disclosure propose a network device, which includes at least one of a transceiver module and a processing module; wherein the network device is used to perform an optional implementation of the second aspect.

[0073] Fifthly, embodiments of this disclosure provide a terminal, which includes one or more processors; wherein the terminal is used to execute an optional implementation of the first aspect.

[0074] In a sixth aspect, embodiments of this disclosure provide a network device comprising: one or more processors; wherein the network device is configured to perform an optional implementation of the second aspect.

[0075] In a seventh aspect, embodiments of this disclosure provide a communication system comprising: a terminal and a network device; wherein the terminal is configured to perform the method described in the optional implementation of the first aspect, and the network device is configured to perform the method described in the optional implementation of the second aspect.

[0076] Eighthly, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the method as described in the optional implementations of the first and / or second aspects.

[0077] Ninthly, embodiments of this disclosure provide a program product that, when executed by a communication device, causes the communication device to perform the method as described in the optional implementations of the first and / or second aspects.

[0078] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the methods described in optional implementations of the first and / or second aspects.

[0079] Eleventhly, embodiments of this disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform the methods described according to optional implementations of the first and second aspects above.

[0080] It is understood that the aforementioned terminals, network devices, communication devices, communication systems, storage media, program products, computer programs, chips, or chip systems are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0081] This disclosure provides a communication method, terminal, network device, system, medium, and computer program product. In some embodiments, the terms "communication method" and "information processing method," "method for selecting a measurement cell," and "method for predicting a cell" can be used interchangeably; the terms "communication device" and "information processing device," "device for selecting a measurement cell," and "device for predicting a cell" can be used interchangeably; and the terms "communication system" and "information processing system," "system for selecting a measurement cell," and "system for predicting a cell" can be used interchangeably.

[0082] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0083] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0084] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0085] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the," "the," "the," "the," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0086] In the embodiments disclosed herein, "multiple" refers to two or more.

[0087] In some embodiments, the terms “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0088] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). The same applies when there are more branches such as A, B, C, etc.

[0089] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execution of A regardless of B); in some embodiments, B (execution of B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, C, etc.

[0090] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0091] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0092] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0093] In some embodiments, the terms “greater than,” “greater than or equal to,” “not less than,” “more than,” “more than or equal to,” “not less than,” “higher than,” “higher than or equal to,” “not lower than,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.

[0094] In some embodiments, devices, etc., can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as “device”, “equipment”, “circuit”, “network element”, “node”, “function”, “unit”, “section”, “system”, “network”, “chip”, “chip system”, “entity”, and “subject” can be used interchangeably.

[0095] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0096] In some embodiments, the terms "access network device (AN device)," "radio access network device (RAN device)," "base station (BS)," "radio base station," "fixed station," "node," "access point," "transmission point (TP)," "reception point (RP)," "transmission / reception point (TRP)," "panel," "antenna panel," "antenna array," "cell," "macro cell," "small cell," "femto cell," "pico cell," "sector," "cell group," "serving cell," "carrier," "component carrier," and "bandwidth part (BWP)" can be used interchangeably.

[0097] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", "subscriber station", "mobile unit", "subscriber unit", "wireless unit", "remote unit", "mobile device", "wireless device", "wireless communication device", "remote device", "mobile subscriber station", "access terminal", "mobile terminal", "wireless terminal", "remote terminal", "handset", "user agent", "mobile client", and "client" can be used interchangeably.

[0098] In some embodiments, access network devices, core network devices, or network devices can be replaced by terminals. For example, embodiments of this disclosure can also be applied to structures where communication between access network devices, core network devices, or network devices and terminals is replaced by communication between multiple terminals (e.g., device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the structure can also be configured such that the terminal has all or part of the functions of the access network device. Furthermore, terms such as "uplink" and "downlink" can be replaced with terms corresponding to communication between terminals (e.g., "sidelink"). For example, uplink channel, downlink channel, etc., can be replaced with sidelink channel, and uplink link, downlink, etc., can be replaced with sidelink link.

[0099] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, core network device, or network device may also be configured to have all or some of the functions of the terminal.

[0100] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0101] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0102] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0103] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in Figure 1, the communication system 100 may include a terminal 101 and a network device 102.

[0104] In some embodiments, terminal 101 includes, but is not limited to, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home.

[0105] In some embodiments, network device 102 may include at least one of access network device and core network device.

[0106] Optionally, network device 102 is an access network device. Optionally, the access network device is, for example, a node or device that connects a terminal to a wireless network. The access network device may include at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation evolved Node B (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), radio backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a Wi-Fi system, but is not limited thereto.

[0107] In some embodiments, network device 102 is a base station. Optionally, a base station may be, for example, a macro base station, micro base station (also called a small station), relay station, access point, 5G base station or future base station, satellite, Transmitting and Receiving Point (TRP), Transmitting Point (TP), mobile switching center, or other equipment that performs base station functions in a communication system, etc., and this disclosure does not specifically limit this type of device. For ease of description, in all embodiments of this disclosure, the apparatus that provides wireless communication functions for terminal devices is collectively referred to as a network device or base station.

[0108] In some embodiments, network device 102 is a core network device. Optionally, the core network device can be a single device, including a first network element, a second network element, etc., or it can be multiple devices or a group of devices, each including all or part of the first network element, the second network element, etc. Network elements can be virtual or physical. The core network includes, for example, at least one of Evolved Packet Core (EPC), 5G Core Network (5GCN), and Next Generation Core (NGC).

[0109] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within access network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0110] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the access network device. Some of the protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0111] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0112] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1 are illustrative. The communication system may include all or some of the main bodies in FIG1, or may include other main bodies outside of FIG1. ​​The number and form of each main body are arbitrary. Each main body may be physical or virtual. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0113] The embodiments disclosed herein can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G New Radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New Radio Access (NX), Future generation Radio Access (FX), Global System for Mobile Communications (GSM), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), and IEEE 802.20, Ultra-Wideband (UWB), Bluetooth (a registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other communication methods, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0114] In some embodiments, wireless communication networks can use AI for prediction and inference to improve system performance. Training the AI ​​model requires collecting a large amount of data, and the data requirements vary depending on the application scenario. Application scenarios may include mobile communication system processes such as beam management, CSI (Channel Status Information) reporting, CSI compression, positioning, handover, mobility management, and radio resource management.

[0115] In some embodiments, during mobility operations, the UE can predict cell measurement results, handover target cells, or mobility events. The UE's ability to predict future cell measurement results can be termed temporal prediction. Alternatively, predicting the measurement results of cells that have not yet been measured can be termed spatial prediction. Mobility events include the fulfillment of measurement reporting conditions, handover failure, cell dwell time, radio link failure, etc.

[0116] In some embodiments, the UE can perform measurements on one or more cells and use AI to predict the measurement results of other cells, thereby reducing the power consumption of the measurement.

[0117] In some embodiments, when the measured cell and the predicted cell are on different frequencies, AI can only make predictions if the measured and predicted cells are co-located or related to the radio signal transmission channel.

[0118] In some embodiments, the use and reasoning of AI may require multiple AI models or AI functions for reasoning and prediction. An AI function implements a specific function, and an AI function may correspond to one or more AI models.

[0119] In some embodiments, the inference of the AI ​​model or function can be run on the UE side or on the network side.

[0120] In some embodiments, the terminal may not know which cells are co-located. If the measured and predicted cells selected by the terminal are not co-located or not related to the radio signal transmission channel, the AI ​​prediction may be inaccurate. Therefore, this disclosure provides a communication method, terminal, network device, system, medium, and computer program product that allows the terminal to select appropriate measured and predicted cells, avoiding large prediction errors and improving the accuracy of the prediction results.

[0121] Figure 2 is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in Figure 2, the embodiment of the present disclosure relates to a communication method executed by a communication system 100, and the method may include the following steps S201 to S205.

[0122] In step S201, terminal 101 sends second information to network device 102.

[0123] In some embodiments, the network device receives second information. For example, network device 102 receives second information sent by terminal 101.

[0124] In some embodiments, the second information is used to request the first information.

[0125] In some embodiments, the second information is used to request the network device to allow the terminal to predict the cell's measurement data, that is, to request the network device to allow the terminal to predict the cell's measurement data.

[0126] In some embodiments, the second information is used to request the first information and to request the network device to grant the terminal permission to predict the measurement data of the cell.

[0127] In some embodiments, the name of the second information is not limited, and it may be, for example, a request message, a data retrieval request, etc.

[0128] In some embodiments, step S201 may be omitted.

[0129] In step S202, network device 102 sends first information to terminal 101.

[0130] In some embodiments, the terminal receives first information. For example, terminal 101 receives first information sent by network device 102.

[0131] In some embodiments, the network device sends first information to the terminal in response to receiving second information sent by the terminal.

[0132] In some embodiments, the first information is broadcast by the network device via a system message, or the first information is sent by the network device via dedicated signaling. The dedicated signaling can be a preset signaling method used only for sending the first information. For example, the network device broadcasts a system message, and the terminal receives the system message to obtain the first information.

[0133] In some embodiments, the content included or indicated by the first information is determined based on the content included or indicated by the second information.

[0134] In some embodiments, the name of the first information is not limited, and it may be, for example, response information, feedback message, etc.

[0135] In some embodiments, when a network device sends first information to a terminal, it may be assumed that the network device allows the terminal to predict the measurement data of the cell and allows the terminal to use the predicted measurement data.

[0136] In some embodiments, step S202 can be omitted. The first information can be pre-stored on the terminal, or the first information can be set to default.

[0137] In step S203, terminal 101 determines the first type of cell and / or the second type of cell based on the first information.

[0138] In some embodiments, the first information is used to indicate a first type of cell and / or a second type of cell, wherein the first type of cell and the second type of cell have at least one of the following relationships:

[0139] Co-location;

[0140] Different frequencies;

[0141] Related to wireless signal transmission channels.

[0142] It should be explained that co-location refers to multiple communication systems or devices sharing the same base station site. For example, Class I cells and Class II cells are deployed co-located. Class I cells and Class II cells share the same base station site.

[0143] For example, Class I cells and Class II cells are deployed on different frequencies. For instance, the frequencies of Class I cells and Class II cells are different. The frequencies of Class I cells and Class II cells are adjacent frequencies.

[0144] In some embodiments, if the channel conditions of two cells are correlated, the channel information of one cell can be used to estimate or predict the channel conditions of the other cell, which is beneficial for channel estimation and prediction algorithms. Therefore, in embodiments of this disclosure, the radio signal transmission channels of the first type of cell and the second type of cell may be correlated.

[0145] It should be explained here that the wireless signal transmission channel correlation between two cells in this embodiment of the disclosure refers to a certain degree of correlation between the wireless signal transmission channels of two different cells (geographical areas covered by the base station). This correlation can be positive or negative, and it can affect the signal transmission quality.

[0146] In some embodiments, the correlation includes at least one of the following correlations:

[0147] Spatial correlation refers to the similarity or difference in the spatial propagation characteristics of signals between different cells. For example, if two cells are geographically adjacent, they may be affected by similar multipath effects or occlusion conditions.

[0148] Frequency correlation refers to the correlation that the channel characteristics of two cells may exhibit when they use the same or similar frequency resources.

[0149] Temporal correlation refers to the correlation of channel characteristics over time. If the signals of two cells are affected by similar time-varying factors, such as mobility or weather conditions, their channels may exhibit temporal correlation.

[0150] Interference correlation refers to the property that two cells may interfere with each other due to geographical proximity or use of similar frequency bands.

[0151] Therefore, by selecting first-class and second-class cells with at least one relationship among co-location, inter-frequency, and wireless signal transmission channel correlation as the input and output of AI function, the prediction effect of AI function can be improved, and more accurate prediction data can be obtained.

[0152] In some embodiments, the network device may broadcast system information, which can be used to indicate the identifiers corresponding to one or more cells; that is, the system information can indicate the correspondence between cells and identifiers. The terminal receives the system information, determines the identifiers corresponding to one or more cells based on the system information, and the network device sends first information to the terminal, which may include a first identifier. Upon receiving the first information, the terminal can determine the cell corresponding to the first identifier as a first type of cell.

[0153] In some embodiments, the terminal sends second information to the network device (this step is optional). The network device receives the second information sent by the terminal (this step is optional). The network device sends first information to the terminal, which may include a first identifier. Upon receiving the first information, the terminal can determine the cell corresponding to the first identifier as a first type of cell. The correspondence between each identifier and each cell can be determined by the terminal receiving system information broadcast by the network device, or the first identifier may include one or more, with each first identifier indicating one cell, and this indication relationship is known in advance or otherwise indicated.

[0154] In some embodiments, the terminal sends second information to the network device (this step is optional). The network device receives the second information sent by the terminal (this step is optional). The network device sends first information to the terminal, which may include a second identifier. Upon receiving the first information, the terminal can determine the cell corresponding to the second identifier as a second type of cell. The correspondence between each identifier and each cell can be determined by the terminal receiving system information broadcast by the network device, or the second identifier may include one or more, with each second identifier indicating one cell, and this indication relationship is known in advance or otherwise indicated.

[0155] In some embodiments, the terminal sends second information to the network device (this step is optional). The network device receives the second information sent by the terminal (this step is optional). The network device sends first information to the terminal, which may include a first identifier and a second identifier. Upon receiving the first information, the terminal may identify the cell corresponding to the first identifier as a first type of cell and the cell corresponding to the second identifier as a second type of cell. The correspondence between each identifier and each cell can be determined by the terminal receiving system information broadcast by the network device, or the first identifier may include one or more, each first identifier indicating one cell, and this indication relationship may be known in advance or otherwise indicated. The second identifier may include one or more, each second identifier indicating one cell, and this indication relationship may be known in advance or otherwise indicated.

[0156] In some embodiments, the terminal sends second information to the network device (this step is optional). The network device receives the second information sent by the terminal (this step is optional). The network device sends first information to the terminal, which may indicate a first cell list. Upon receiving the first information, the terminal can identify cells in the first cell list as first-type cells.

[0157] In some embodiments, the terminal sends second information to the network device (this step is optional). The network device receives the second information sent by the terminal (this step is optional). The network device sends first information to the terminal, which may indicate a second cell list. Upon receiving the first information, the terminal can identify cells in the second cell list as second-type cells.

[0158] In some embodiments, the terminal sends second information to the network device (this step is optional). The network device receives the second information sent by the terminal (this step is optional). The network device sends first information to the terminal, which may indicate a first cell list and a second cell list. Upon receiving the first information, the terminal may identify cells in the first cell list as first-type cells and cells in the second cell list as second-type cells.

[0159] In some embodiments, since the content included or indicated by the first information can be determined based on the content included or requested by the second information, the network device can send the first information for indicating a first-type cell to the terminal when the second information is used to request the network device to indicate a first-type cell. For example, the first information may include a first identifier for indicating a first-type cell. The terminal receives the first information and determines the cell corresponding to the first identifier as a first-type cell.

[0160] For example, a terminal may send second information, including a second identifier, to a network device. This second identifier indicates a second type of cell, which is determined by the terminal and may be, for example, a cell that the terminal cannot measure. The second information requests the network device to indicate a first type of cell that has at least one relationship with the second type of cell: co-location, inter-frequency, or radio signal transmission channel association. The network device determines the corresponding first type of cell based on the second type of cell and sends the first identifier of the first type of cell to the terminal, carrying it with it in the first information. The terminal receives the first information and identifies the cell corresponding to the first identifier as the first type of cell.

[0161] In some embodiments, where the second information is used to request the network device to indicate a second type of cell, the network device sends first information to the terminal to indicate a second type of cell. For example, the first information may include a second identifier used to indicate a second type of cell. The terminal receives the first information and determines the cell corresponding to the second identifier as a second type of cell.

[0162] For example, a terminal may send second information, including a first identifier, to a network device. The first identifier indicates a first type of cell, which is determined by the terminal and may be, for example, the terminal's current serving cell. The second information requests the network device to indicate a second type of cell that has at least one relationship with the first type of cell: co-location, inter-frequency, or radio signal transmission channel association. The network device determines the corresponding second type of cell based on the first type of cell and sends the second identifier of the second type of cell to the terminal, carrying it with it in the first information. The terminal receives the first information and identifies the cell corresponding to the second identifier as the second type of cell.

[0163] Optionally, in each embodiment, the correspondence between each identifier and each cell can be determined by the terminal receiving system information broadcast by the network device; or the first identifier includes one or more, each first identifier indicating one cell, the indication relationship being known in advance or otherwise indicated, and / or the second identifier includes one or more, each second identifier indicating one cell, the indication relationship being known in advance or otherwise indicated, which will not be elaborated further.

[0164] It should be noted that the system information may indicate one or more identifiers for each cell. These identifiers may include a first identifier for distinguishing first-class cells and a second identifier for distinguishing second-class cells. One or more cells corresponding to the first identifier can be classified as first-class cells. One or more cells corresponding to the second identifier can be classified as second-class cells.

[0165] In some embodiments, when the second information is used to request the network device to indicate a first type of cell and a second type of cell, the network device sends first information to the terminal to indicate the first type of cell and the second type of cell. For example, the first information may include a first identifier and a second identifier, where the first identifier indicates a first type of cell and the second identifier indicates a second type of cell. The terminal receives the first information, determines the cell corresponding to the first identifier as a first type of cell, and determines the cell corresponding to the second identifier as a second type of cell.

[0166] In some embodiments, the terminal sends second information to the network device, the second information including a first identifier (represented as A1). The network device receives the second information sent by the terminal and sends first information to the terminal, the first information including another first identifier (represented as A2) different from the first identifier A1 reported by the terminal. Upon receiving the first information, the terminal can determine the cell corresponding to the first identifier A2 indicated by the network device as a first type of cell.

[0167] In some embodiments, the terminal sends second information to the network device, the second information including a second identifier (denoted as B1). The network device receives the second information sent by the terminal and sends first information to the terminal, the first information including another second identifier (denoted as B2) different from the second identifier B1 reported by the terminal. Upon receiving the first information, the terminal can determine the cell corresponding to the second identifier B2 indicated by the network device as a second type of cell.

[0168] In some embodiments, if the second information includes a first identifier of a first cell, and the first cell belongs to a first type of cell, then the second information can be used to request the network device to indicate a corresponding second type of cell.

[0169] In some embodiments, where the second information is used to request the network device to indicate a second type of cell, the network device may send first information to the terminal to indicate a second type of cell. For example, the network device sends the first information to the terminal, which includes or indicates a second cell list. The terminal receives the first information and identifies the cells in the second cell list as second type cells.

[0170] Optionally, the second cell list includes one or more cells. Optionally, the cell that sent the first information can be a cell in the second cell list.

[0171] In some embodiments, if the second information includes a second identifier of a second cell that belongs to a second type of cell, then the second information can be used to request the network device to indicate a corresponding first type of cell.

[0172] In some embodiments, where the second information is used to request the network device to indicate a first type of cell, the network device may send first information to the terminal to indicate a first type of cell. For example, the network device sends the first information to the terminal, which includes or indicates a first cell list. The terminal receives the first information and identifies the cells in the first cell list as first type cells.

[0173] Optionally, the first cell list includes one or more cells. Optionally, the cell that sends the first message can be a cell within the first cell list.

[0174] In some embodiments, when the second information is used to request the network device to indicate a first type of cell and a second type of cell, the network device sends first information to the terminal to indicate the first type of cell and the second type of cell. For example, the network device sends the first information to the terminal, which includes or indicates a first cell list and a second cell list. The terminal receives the first information and identifies cells in the first cell list as first type cells and cells in the second cell list as second type cells.

[0175] In some embodiments, "first / second cell list" may be replaced with "first / second cell sequence", "first / second cell set", "first / second cell group", or "first / second cell cluster", and this disclosure does not limit it.

[0176] In step S204, terminal 101 performs actual measurements on the first type of cell and obtains the measured data.

[0177] In some embodiments, actual measurement can be understood as actual measurement, actual detection, actual judgment, or actual determination.

[0178] In some embodiments, the measured data is obtained by cell measurement of a first type of cell, or by beam measurement of the beam of a first type of cell.

[0179] For example, the terminal performs cell measurements on the first type of cell and obtains the measured data.

[0180] For example, the terminal performs beam measurement on the beam of the first type of cell to obtain measured data.

[0181] For example, the measured data includes at least one of the following:

[0182] Reference Signal Receiving Power (RSRP);

[0183] Reference Signal Received Quality (RSRQ);

[0184] Signal to Interference plus Noise Ratio (SINR).

[0185] In some possible implementations, the terminal may conduct actual measurements on the first type of cell by determining whether the first type of cell is a target cell for handover, determining whether handover to the first type of cell will fail, measuring the dwell time in the first type of cell, measuring whether a radio link failure occurs when accessing the first type of cell, and detecting whether an RRC reconstruction is initiated in the first type of cell. The measured data for the first type of cell can be the actual determination results in any of the above examples. Of course, this disclosure includes, but is not limited to, the methods for conducting actual measurements on the first type of cell as described in the above examples, and may also include actually measuring other mobility events in the first type of cell.

[0186] In some embodiments, the terminal performs actual measurements on the first type of cell to obtain actual measurement data. This can be achieved by the terminal performing actual measurements on one or more first cells in the first type of cell to obtain actual measurement data.

[0187] In step S205, terminal 101 uses the measured data of the first type of cell as input data for the AI ​​function to predict the predicted data of the second type of cell.

[0188] In some embodiments, after the terminal obtains the measured data of the first type of cell, it can input the measured data of the first type of cell into an AI model or AI application used to implement AI functions to predict the second type of cell and obtain the predicted data of the second type of cell.

[0189] In this system, the measured data from the first type of cell serves as one of the input data for the AI ​​function, while the predicted data from the second type of cell is the output data for the AI ​​function. The measured data from the first type of cell and the predicted data from the second type of cell can be of the same type, for example, both being cell measurement data or both being cell beam measurement data. An AI function can be implemented through one or more AI models / applications.

[0190] In some embodiments, the terminal uses measured data from one or more first cells in the first type of cells as input data for the AI ​​function to predict data from one or more second cells in the second type of cells.

[0191] In some embodiments, steps S204 and S205 can be triggered immediately after the first type of cell and the second type of cell are determined.

[0192] In some embodiments, steps S204 and S205 may be temporarily suspended after determining the first type of cell and the second type of cell, and executed when the triggering condition is detected.

[0193] The triggering conditions include, but are not limited to, receiving a cell measurement command or beam measurement command sent by a network device, the terminal detecting a wireless link failure, and the timeout of a preset timer (e.g., T304, T310).

[0194] In some embodiments, the names of information, etc., are not limited to the names described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0195] In some embodiments, “get,” “obtain,” “receive,” “transmit,” “bidirectional transmission,” and “send and / or receive” can be used interchangeably and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining through self-processing, or autonomous implementation, among other meanings.

[0196] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transfer,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0197] In some embodiments, terms such as "certain," "preset," "default," "set," "indicated," "a certain," "any," and "first" can be used interchangeably. "Certain A," "preset A," "default A," "set A," "indicated A," "a certain A," "any A," and "first A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.

[0198] The communication method involved in the embodiments of this disclosure may include at least one of steps S201 to S205. For example, steps S201 and S202 may be implemented as independent embodiments, and steps S203, S204, and S205 may be implemented as independent embodiments, but are not limited thereto.

[0199] In some embodiments, the order of any two steps in steps S201 to S205 can be interchanged or they can be performed simultaneously.

[0200] In some embodiments, steps S201 and S202 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0201] In some embodiments, steps S203, S204, and S205 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0202] In some embodiments, other optional implementations may be described before or after the specification corresponding to FIG2.

[0203] Figure 3A is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3A, the embodiment of the present disclosure relates to a communication method executed by a terminal side, the method including:

[0204] Step S3101: Send the second message.

[0205] The optional implementation of step S3101 can be found in the optional implementation of step S201 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0206] In some embodiments, terminal 101 sends second information to network device 102, but is not limited thereto; it may also send second information to other entities.

[0207] Step S3102: Receive the first information.

[0208] The optional implementation of step S3102 can be found in the optional implementation of step S202 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0209] In some embodiments, terminal 101 receives first information sent by network device 102, but is not limited thereto; it may also receive first information sent by other entities.

[0210] In some embodiments, terminal 101 obtains first information as defined by the protocol.

[0211] In some embodiments, terminal 101 obtains first information from upper layer(s).

[0212] In some embodiments, the terminal 101 processes the information to obtain the first information.

[0213] In some embodiments, step S3102 is omitted, and the terminal 101 autonomously implements the function indicated by the first information, or the above function is the default or default.

[0214] Step S3103: Determine the first type of cell and / or the second type of cell.

[0215] The optional implementation of step S3103 can be found in the optional implementation of step S203 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0216] Step S3104: Perform actual measurements on the first type of cell to obtain the measured data.

[0217] The optional implementation of step S3104 can be found in the optional implementation of step S204 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0218] Step S3105: Use AI function to predict the predicted data of the second type of cell based on the measured data of the first type of cell.

[0219] The optional implementation of step S3105 can be found in the optional implementation of step S205 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0220] The communication method involved in the embodiments of this disclosure may include at least one of steps S3101 to S3105. For example, step S3103 may be implemented as a separate embodiment, and steps S3104 and S3105 may be implemented as separate embodiments, but are not limited thereto.

[0221] In some embodiments, the order of any two steps in steps S3101 to S3105 can be interchanged or they can be performed simultaneously.

[0222] In some embodiments, steps S3101, S3102, S3104 and S3105 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0223] In some embodiments, steps S3101 to S3103 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0224] Figure 3B is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3B, the embodiment of the present disclosure relates to a communication method executed by a terminal side, the method including:

[0225] Step S3201: Receive the first information.

[0226] The optional implementation of step S3201 can be found in the optional implementation of step S202 in Figure 2, step S3102 in Figure 3A, and other related parts in the embodiments involved in Figures 2 and 3A, which will not be repeated here.

[0227] Step S3202: Determine the first type of cell and / or the second type of cell based on the first information.

[0228] The optional implementation of step S3202 can be found in the optional implementation of step S203 in Figure 2, step S3103 in Figure 3A, and other related parts in the embodiments involved in Figures 2 and 3A, which will not be repeated here.

[0229] In step S3203, the measured data of the first type of cell is used as the input of the AI ​​function to predict the predicted data of the second type of cell.

[0230] The optional implementations of step S3203 can be found in steps S204 and S205 in Figure 2, steps S3104 and S3105 in Figure 3A, and other related parts in the embodiments involved in Figures 2 and 3A, which will not be repeated here.

[0231] The communication method involved in the embodiments of this disclosure may include at least one of steps S3201 to S3203. For example, step S3201 may be implemented as a separate embodiment, step S3202 may be implemented as a separate embodiment, and step S3203 may be implemented as a separate embodiment, but is not limited thereto.

[0232] In some embodiments, the order of any two steps in steps S3201 to S3203 can be interchanged or they can be performed simultaneously.

[0233] In some embodiments, steps S3202 and S3203 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0234] In some embodiments, steps S3201 and S3203 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0235] In some embodiments, steps S3201 and S3202 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0236] In some embodiments, step S3201 can be combined with step S3101 of FIG3A, and step S3203 can be combined with step S3104 of FIG3A.

[0237] Figure 3C is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 3C, the embodiment of the present disclosure relates to a communication method executed by a terminal side, the method including:

[0238] Step S3301: Receive the first information.

[0239] The optional implementation of step S3301 can be found in the optional implementation of step S202 in Figure 2, step S3102 in Figure 3A, and other related parts in the embodiments involved in Figures 2 and 3A, which will not be repeated here.

[0240] Step S3302: Use AI function to predict data based on the first information.

[0241] The optional implementations of step S3302 can be found in steps S203, S204, and S205 in Figure 2, steps S3103, S3104, and S3105 in Figure 3A, and other related parts in the embodiments involved in Figures 2 and 3A, which will not be repeated here.

[0242] In some embodiments, step S3301 can be combined with step S3101 of FIG3A.

[0243] Figure 4A is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 4A, the embodiment of the present disclosure relates to a communication method executed by a network device, the method comprising:

[0244] Step S4101: Receive the second information.

[0245] The optional implementation of step S4101 can be found in the optional implementation of step S201 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0246] In some embodiments, network device 102 receives second information sent by terminal 101, but is not limited thereto; it may also receive second information sent by other entities.

[0247] In some embodiments, network device 102 obtains second information as defined by a protocol.

[0248] In some embodiments, network device 102 obtains second information from upper layer(s).

[0249] In some embodiments, network device 102 processes the information to obtain the second information.

[0250] In some embodiments, step S4101 is omitted, and the network device 102 autonomously implements the function indicated by the second information, or the above function is defaulted or set to default.

[0251] Step S4102: Send the first message.

[0252] The optional implementation of step S4102 can be found in the optional implementation of step S202 in Figure 2 and other related parts in the embodiments involved in Figure 2, which will not be repeated here.

[0253] In some embodiments, network device 102 sends first information to terminal 101, but is not limited thereto; it may also send first information to other entities.

[0254] The communication method involved in the embodiments of this disclosure may include at least one of steps S4101 and S4102. For example, step S4101 may be implemented as a separate embodiment, and step S4102 may be implemented as a separate embodiment, but are not limited thereto.

[0255] In some embodiments, steps S4101 and S4102 may be performed in an alternate order or simultaneously.

[0256] In some embodiments, step S4101 is optional.

[0257] In some embodiments, step S4102 is optional.

[0258] Figure 4B is a flowchart illustrating a communication method according to an embodiment of the present disclosure. As shown in Figure 4B, the embodiment of the present disclosure relates to a communication method executed by a network device, the method including:

[0259] Step S4201: Send the first message.

[0260] The optional implementation of step S4201 can be found in the optional implementation of step S202 in Figure 2, step S4102 in Figure 4A, and other related parts in the embodiments involved in Figures 2 and 4A, which will not be repeated here.

[0261] Figure 5 is an interactive schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in Figure 5, the embodiment of the present disclosure relates to a communication method executed by a communication system 100, the method including:

[0262] Step S501: The network device sends the first information to the terminal.

[0263] The optional implementation of step S501 can be found in the optional implementation of step S202 in Figure 2, step S4102 in Figure 4A, and other related parts in the embodiments involved in Figures 2 and 4A, which will not be repeated here.

[0264] In step S502, the terminal determines the first type of cell and / or the second type of cell based on the first information.

[0265] The optional implementation of step S502 can be found in step S203 of Figure 2, the optional implementation of step S3103 of Figure 3A, and other related parts in the embodiment involving step S3103 of Figure 2, which will not be repeated here.

[0266] In step S503, the terminal uses the measured data of the first type of cell as input for the AI ​​function to predict the predicted data of the second type of cell.

[0267] The optional implementation of step S503 can be found in step S205 of Figure 2, the optional implementation of step S3105 of Figure 3A, and other related parts in the embodiment involving step S3103 of Figure 2, which will not be repeated here.

[0268] In some embodiments, the above methods may include the methods described in the embodiments of the communication system side, terminal side, network device side, etc., which will not be repeated here.

[0269] In some embodiments, this disclosure provides Embodiment 1, in which a UE receives first information sent by the network and selects a first type of cell and a second type of cell based on the first information. The UE measures the first type of cell to obtain measurement results. The measurement results of the first type of cell are used as AI input to predict the measurement results of the second type of cell.

[0270] Optionally, the measurement result can be RSRP, RSRQ, or SINR.

[0271] Optionally, the measurement result can be the measurement result of the cell or the measurement result of the cell's beam.

[0272] Optionally, the first type of cell and the second type of cell are deployed at the same site.

[0273] Optionally, the first type of cell and the second type of cell are deployed in different frequencies.

[0274] Optionally, the wireless signal transmission channels of the first type of cell and the second type of cell are related.

[0275] In some embodiments, this disclosure provides Embodiment 2, which is based on Embodiment 1, where the first information is an identifier. Cells sending the same identifier can be classified as either first-type or second-type cells.

[0276] Optionally, each cell may indicate one or more identifiers in the system information.

[0277] In some embodiments, this disclosure provides Embodiment 3, which is based on Embodiment 1, wherein the first information is a cell list. The cells in the cell list can be classified as either first-class cells or second-class cells.

[0278] Optionally, the cell that sends the first information is also a cell in the cell list.

[0279] In some embodiments, this disclosure provides Embodiment 4, which is based on Embodiment 1, wherein the first information can be sent via system information broadcast or dedicated signaling.

[0280] In some embodiments, this disclosure provides Embodiment 5, which, based on Embodiment 1, involves the UE sending second information to the network, the second information indicating a request for the network to send first information.

[0281] Optionally, the second information may be a request to predict the results of cell measurement.

[0282] In some embodiments, this disclosure provides Embodiment 6, based on Embodiment 3 or 5, in which the second information may indicate a first cell identifier. A cell list is received from the network.

[0283] Optionally, the cells in the cell list can be first-class cells, and the first cell can be a second-class cell; or, the cells in the cell list can be second-class cells, and the first cell can be a first-class cell.

[0284] Optionally, the cells in the cell list are co-located with the first cell.

[0285] In the embodiments disclosed herein, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations in other embodiments.

[0286] This disclosure also provides an apparatus for implementing any of the above methods. For example, an apparatus is provided that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Alternatively, another apparatus is provided that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0287] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC). The functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a programmable logic device (PLD). Taking a field-programmable gate array (FPGA) as an example, it can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0288] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. Furthermore, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a Neural Network Processing Unit (NPU), a Tensor Processing Unit (TPU), or a Deep Learning Processing Unit (DPU).

[0289] Figure 6 is a schematic diagram of the structure of a terminal according to an embodiment of the present disclosure. As shown in Figure 6, the terminal 600 may include at least one of a transceiver module 601, a processing module 602, etc. In some embodiments, the transceiver module 601 is used to receive first information sent by a network device; the processing module 602 is used to determine a first type of cell and / or a second type of cell based on the first information; and to use the measured data of the first type of cell as input to an artificial intelligence (AI) function to predict the predicted data of the second type of cell. Optionally, the transceiver module 601 is used to perform at least one of the communication steps (e.g., steps S201, S202, but not limited thereto) performed by the terminal 101 in any of the above methods, which will not be described in detail here. Optionally, the processing module 602 is used to perform at least one of the other steps (e.g., steps S203, S204, S205, but not limited thereto) performed by the terminal 101 in any of the above methods, which will not be described in detail here.

[0290] Figure 7 is a schematic diagram of a network device according to an embodiment of the present disclosure. As shown in Figure 7, the network device 700 may include at least one of a transceiver module 701, a processing module 702, etc. In some embodiments, the transceiver module 701 is used to send first information to a terminal, the first information being used to indicate a first type of cell and / or a second type of cell, wherein the measured data of the first type of cell is used as input for an artificial intelligence (AI) function to predict the predicted data of the second type of cell. Optionally, the transceiver module 701 is used to perform at least one of the communication steps (e.g., steps S201, S202, but not limited thereto) performed by the network device 102 in any of the above methods, which will not be described in detail here. Optionally, the processing module 702 is used to perform at least one of the other steps (e.g., steps S203, S204, S205, but not limited thereto) performed by the network device 102 in any of the above methods, which will not be described in detail here.

[0291] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, which may be separate or integrated. Optionally, the transceiver module may be interchangeable with a transceiver.

[0292] In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module. Optionally, the processing module may be interchangeable with a processor.

[0293] Figure 8A is a schematic diagram of the structure of a communication device 8100 according to an embodiment of this disclosure. The communication device 8100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment, etc.), a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 8100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0294] As shown in Figure 8A, the communication device 8100 includes one or more processors 8101. The processor 8101 can be a general-purpose processor or a dedicated processor, such as a baseband processor or a central processing unit (CPU). The baseband processor can be used to process communication protocols and communication data, while the CPU can be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. Optionally, the communication device 8100 can be used to execute any of the above methods. Optionally, one or more processors 8101 can be used to invoke instructions to cause the communication device 8100 to execute any of the above methods.

[0295] In some embodiments, the communication device 8100 further includes one or more transceivers 8102. When the communication device 8100 includes one or more transceivers 8102, the transceiver 8102 performs at least one of the communication steps (e.g., steps S201, S202, but not limited thereto) in the above method, such as sending and / or receiving, while the processor 8101 performs at least one of other steps (e.g., steps S203, S204, S205, but not limited thereto). In optional embodiments, the transceiver may include a receiver and / or a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc., can be used interchangeably; the terms transmitter, sending unit, transmitter, sending circuit, etc., can be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., can be used interchangeably.

[0296] In some embodiments, the communication device 8100 further includes one or more memories 8103 for storing data. Optionally, all or part of the memories 8103 may be located outside the communication device 8100. In an optional embodiment, the communication device 8100 may include one or more interface circuits 8104. Optionally, the interface circuits 8104 are connected to the memories 8103 and can be used to receive data from the memories 8103 or other devices, and to send data to the memories 8103 or other devices. For example, the interface circuits 8104 can read data stored in the memories 8103 and send that data to the processor 8101.

[0297] The communication device 8100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 8100 described in this disclosure is not limited thereto, and the structure of the communication device 8100 may not be limited by FIG8A. The communication device may be a standalone device or may be part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0298] Figure 8B is a schematic diagram of the structure of chip 8200 according to an embodiment of the present disclosure. For cases where the communication device 8100 can be a chip or a chip system, the schematic diagram of chip 8200 shown in Figure 8B can be referenced, but is not limited thereto.

[0299] Chip 8200 includes one or more processors 8201. Chip 8200 is used to perform any of the methods described above.

[0300] In some embodiments, chip 8200 further includes one or more interface circuits 8202. Optionally, terms such as interface circuit, interface, and transceiver pin can be used interchangeably. In some embodiments, chip 8200 further includes one or more memories 8203 for storing data. Optionally, all or part of the memories 8203 may be located outside of chip 8200. Optionally, interface circuit 8202 is connected to memory 8203, and interface circuit 8202 can be used to receive data from memory 8203 or other devices, and interface circuit 8202 can be used to send data to memory 8203 or other devices. For example, interface circuit 8202 can read data stored in memory 8203 and send the data to processor 8201.

[0301] In some embodiments, the interface circuit 8202 performs at least one of the communication steps (e.g., steps S201, S202, but not limited thereto) in the above-described method, such as sending and / or receiving. For example, the interface circuit 8202 performing the communication steps (e.g., sending and / or receiving) in the above-described method refers to the interface circuit 8202 performing data interaction between the processor 8201, the chip 8200, the memory 8203, or the transceiver device. In some embodiments, the processor 8201 performs at least one of other steps (e.g., steps S203, S204, S205, but not limited thereto).

[0302] The modules and / or devices described in the various embodiments, such as virtual devices, physical devices, and chips, can be combined or separated arbitrarily as needed. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0303] This disclosure also proposes a storage medium storing instructions that, when executed on a communication device 8100, cause the communication device 8100 to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0304] This disclosure also provides a program product that, when executed by the communication device 8100, causes the communication device 8100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0305] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

Claims

1. A communication method, characterized in that, The method, executed by a terminal, includes: Receive the first message sent by the network device; Based on the first information, determine the first type of cell and / or the second type of cell; The measured data of the first type of cell is used as input for the artificial intelligence (AI) function to predict the predicted data of the second type of cell.

2. The method according to claim 1, characterized in that, The measured data is obtained by performing cell measurements on the first type of cell, or the measured data is obtained by performing beam measurements on the beams of the first type of cell.

3. The method according to claim 1 or 2, characterized in that, The first type of cell and the second type of cell have at least one of the following relationships: Shared site; Different frequencies; Related to wireless signal transmission channels.

4. The method according to any one of claims 1-3, characterized in that, Before the first information sent by the receiving network device, the following is included: Send a second message to the network device, wherein the second message is used to request the first message, and / or, the second message is used to request the network device to allow the terminal to predict the cell's measurement data.

5. The method according to claim 4, characterized in that, The second information includes a first identifier of a first cell, which belongs to the first type of cell, and the second information is used to request the network device to indicate the second type of cell.

6. The method according to claim 4 or 5, characterized in that, The second information includes a second identifier of the second cell, which belongs to the second type of cell, and the second information is used to request the network device to indicate the first type of cell.

7. The method according to any one of claims 1-6, characterized in that, The first information includes a first identifier, and determining the first type of cell based on the first information includes: The cell corresponding to the first identifier is identified as the first type of cell.

8. The method according to any one of claims 1-7, characterized in that, The first information includes a second identifier, and determining the second type of cell based on the first information includes: The cell corresponding to the second identifier is identified as the second type of cell.

9. The method according to any one of claims 1-6, characterized in that, The first information is used to indicate a first cell list, and determining the first type of cell based on the first information includes: The cells in the first cell list are identified as the first type of cell.

10. The method according to any one of claims 1-6 and 9, characterized in that, The first information is used to indicate the second cell list, and the second type of cell is determined based on the first information, including: The cells in the second cell list are identified as the second type of cells.

11. The method according to any one of claims 1-10, characterized in that, The first information is broadcast by the network device via a system message, or the first information is sent by the network device via dedicated signaling.

12. The method according to any one of claims 1-11, characterized in that, The method further includes: Receive system information sent by the network device; The system information is used to determine the identifiers of one or more cells.

13. A communication method, characterized in that, Performed by a network device, the method includes: Send first information to the terminal. The first information is used to indicate a first type of cell and / or a second type of cell. The measured data of the first type of cell is used as input for the artificial intelligence (AI) function to predict the predicted data of the second type of cell.

14. The method according to claim 13, characterized in that, The measured data of the first type of cell is obtained by the terminal performing cell measurement on the first type of cell, or the measured data is obtained by the terminal performing beam measurement on the beam of the first type of cell.

15. The method according to claim 13 or 14, characterized in that, The first type of cell and the second type of cell have at least one of the following relationships: Shared site; Different frequencies; Related to wireless signal transmission channels.

16. The method according to any one of claims 13-15, characterized in that, Before sending the first information to the terminal, the process includes: The terminal receives a second message, wherein the second message is used to request the first message, and / or the second message is used to request the network device to allow the terminal to predict cell measurement data.

17. The method according to claim 16, characterized in that, The second information includes a first identifier of a first cell, which belongs to the first type of cell, and the second information is used to request the network device to indicate the second type of cell.

18. The method according to claim 16 or 17, characterized in that, The second information includes a second identifier of the second cell, which belongs to the second type of cell, and the second information is used to request the network device to indicate the first type of cell.

19. The method according to any one of claims 13-18, characterized in that, The first information includes a first identifier, which is used to indicate the first type of cell.

20. The method according to any one of claims 13-19, characterized in that, The first information includes a second identifier, which is used to indicate the second type of cell.

21. The method according to any one of claims 13-18, characterized in that, The first information is used to indicate a first cell list, and the cells in the first cell list are cells of the first type.

22. The method according to any one of claims 13-18 and 21, characterized in that, The first information is used to indicate a second cell list, wherein the cells in the second cell list are cells of the second type.

23. The method according to any one of claims 13-22, characterized in that, Sending the first information to the terminal includes: The first information is broadcast via system message, or the first information is sent via dedicated signaling.

24. The method according to any one of claims 13-23, characterized in that, The method further includes: The system information is sent to the terminal, and the system information is used to indicate the identifiers corresponding to one or more cells.

25. A terminal, characterized in that, include: The transceiver module is used to receive the first information sent by the network device; The processing module is used to determine a first type of cell and / or a second type of cell based on the first information; and to use the measured data of the first type of cell as input for the artificial intelligence (AI) function to predict the predicted data of the second type of cell.

26. A network device, characterized in that, include: The transceiver module is used to send first information to the terminal. The first information is used to indicate a first type of cell and / or a second type of cell. The measured data of the first type of cell is used as input for the artificial intelligence (AI) function to predict the predicted data of the second type of cell.

27. A terminal, characterized in that, include: One or more processors; A memory coupled to the processor, the memory storing executable instructions, which, when executed by the processor, cause the terminal to perform the communication method according to any one of claims 1-12.

28. A network device, characterized in that, include: One or more processors; A memory coupled to the processor, the memory storing executable instructions, which, when executed by the processor, cause the network device to perform the communication method of any one of claims 13-24.

29. A communication system, characterized in that, The system includes a terminal and a network device, wherein the terminal is configured to receive first information sent by the network device; determine a first type of cell and / or a second type of cell based on the first information; and use measured data of the first type of cell as input for an artificial intelligence (AI) function to predict predicted data of the second type of cell. The network device is configured to send the first information to the terminal.

30. A storage medium storing instructions, characterized in that, When the instruction is executed on the communication device, the communication device performs the communication method according to any one of claims 1-24.

31. A computer program product, comprising a computer program and / or instructions, characterized in that, When the computer program and / or instructions are executed by the communication device, the communication method of any one of claims 1-24 is implemented.

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