Position prediction method, device, node and storage medium

Abstract

The application discloses a position prediction method, device, node and storage medium. A server acquires a measurement report message sent by a base station, the measurement report message comprising historical position measurement information reported by at least one UE and / or historical position measurement information of the at least one UE measured by the base station, the server determines predicted position information of the at least one UE at a first time point or a first time period according to the measurement report message, and sends notification information to the base station according to the predicted position information. By introducing measurement information in multiple dimensions, the accuracy of predicting the position of the UE can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of wireless communication technologies, and in particular to a location prediction method, device, node, and storage medium. Background Art

[0002] Existing radio access networks (RANs) only support positioning of the current terminal location and cannot predict the terminal's likely location at the next time point based on relevant historical training data. Current wireless network designs cannot support artificial intelligence (AI)-based prediction of the terminal's location at the next time point, and predictions based solely on the terminal's historical location can also result in significant prediction errors. Summary of the Invention

[0003] The main purpose of the embodiments of the present invention is to propose a location prediction method, device, node and storage medium, aiming to effectively improve the accuracy of predicting the UE location.

[0004] To achieve the above object, an embodiment of the present invention provides a location prediction method, which includes the following steps:

[0005] The server obtains the measurement report message sent by the base station;

[0006] The measurement report message includes historical location measurement information reported by at least one user equipment (UE) and / or historical location measurement information of at least one UE measured by the base station;

[0007] The server determines, according to the measurement report message, predicted location information of at least one UE at a first time point or a first time period;

[0008] The server sends notification information to the base station based on the predicted location information.

[0009] To achieve the above object, an embodiment of the present invention provides a location prediction method, which includes the following steps:

[0010] The base station sends a measurement report message to the server, where the measurement report message includes historical location measurement information reported by at least one UE and / or historical location measurement information of at least one UE measured by the base station;

[0011] The base station obtains notification information sent by the server according to the measurement report message;

[0012] The base station performs optimization operations based on the notification information.

[0013] To achieve the above objectives, an embodiment of the present invention provides a position prediction device, which includes:

[0014] An acquisition module, configured to acquire a measurement report message sent by a base station;

[0015] The measurement report message includes historical location measurement information reported by at least one UE and / or historical location measurement information of at least one UE measured by the base station;

[0016] A determination module, configured to determine predicted location information of at least one UE at a first time point or a first time period according to the measurement report message;

[0017] The sending module is used to send notification information to the base station according to the predicted location information.

[0018] To achieve the above objectives, an embodiment of the present invention provides a position prediction device, which includes:

[0019] a sending module, configured to send a measurement report message to a server, where the measurement report message includes historical location measurement information reported by at least one UE and / or historical location measurement information of at least one UE measured by the device;

[0020] An acquisition module, configured to acquire notification information sent by the server according to the measurement report message;

[0021] The execution module is used to perform optimization operations based on the notification information.

[0022] To achieve the above-mentioned purpose, an embodiment of the present invention provides a node, which includes a memory, a processor, a program stored in the memory and executable on the processor, and a data bus for realizing connection and communication between the processor and the memory. When the program is executed by the processor, the location prediction method provided in the embodiment of the present application is implemented.

[0023] To achieve the above-mentioned purpose, an embodiment of the present invention provides a readable and writable storage medium for computer storage, wherein the storage medium stores one or more programs, which can be executed by one or more processors to implement the position prediction method provided in the embodiment of the present application.

[0024] Embodiments of the present application provide a location prediction method, apparatus, node, and storage medium. A server obtains a measurement report message sent by a base station. The measurement report message includes historical location measurement information reported by at least one UE and / or historical location measurement information of at least one UE measured by the base station. The server determines the predicted location information of the at least one UE at a first point in time or a first time period based on the measurement report message, and sends a notification message to the base station based on the predicted location information. By introducing measurement information from multiple dimensions, the accuracy of predicting the UE location can be effectively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a flowchart of a location prediction method provided by an embodiment of the present invention.

[0026] Figure 2 This is a flowchart of a location prediction method provided by an embodiment of the present invention.

[0027] Figure 3 This is a flowchart of a location prediction method provided by an embodiment of the present invention.

[0028] Figure 4 It is a structural diagram of a position prediction device provided by an embodiment of the present invention.

[0029] Figure 5 It is a structural diagram of a position prediction device provided by an embodiment of the present invention.

[0030] Figure 6 This is a schematic diagram of the structure of a node provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0031] To make the purpose, technical solutions and advantages of this application more clear, the embodiments of this application will be described in detail below with reference to the accompanying drawings. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of this application can be combined with each other in any way.

[0032] In addition, in the embodiments of this application, words such as "optionally" or "exemplarily" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "optionally" or "exemplarily" in the embodiments of this application should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "optionally" or "exemplarily" is intended to present the relevant concepts in a concrete manner.

[0033] Figure 1 This is a flow chart of a location prediction method provided by an embodiment of the present application. This method can be applied to an AI server, such as Figure 1 As shown, the method may include the following steps:

[0034] S101. A server obtains a measurement report message sent by a base station.

[0035] Optionally, the server may be an AI server, which may be a separate network element or a network element disposed within a base station. The measurement report message obtained by the server may include historical location measurement information reported by at least one UE and / or historical location measurement information of at least one UE measured by the base station.

[0036] S102. The server determines predicted location information of at least one UE at a first time point or a first time period according to the measurement report message.

[0037] The first time point or first time period in this step can be understood as a certain time point or a certain time period in the future, that is, after the server obtains the historical location measurement information reported by at least one UE, and / or the historical location measurement information of at least one UE measured by the base station, the predicted location information of at least one UE at a certain time point or multiple time points in the future (that is, a certain time period) can be determined based on the obtained information.

[0038] The predicted location information may include one or more of the following: predicted latitude and longitude coordinates, predicted cell identifier, predicted altitude information, predicted connection beam identifier information with a certain cell, and predicted tracking area information (TA).

[0039] S103. The server sends notification information to the base station according to the predicted location information.

[0040] The notification information in this embodiment may carry information indicating the predicted location of a UE, or may be optimization operation information generated by a server based on the predicted location information. In this way, the base station may perform an optimization operation based on the optimization operation information sent by the server, or determine and perform a relevant optimization operation based on the predicted location information sent by the server.

[0041] An embodiment of the present application provides a location prediction method in which a server obtains a measurement report message sent by a base station. The measurement report message includes historical location measurement information reported by at least one UE and / or historical location measurement information of at least one UE measured by the base station. The server determines the predicted location information of the at least one UE at a first point in time or a first time period based on the measurement report message, and sends a notification message to the base station based on the predicted location information. By introducing measurement information from multiple dimensions, the accuracy of predicting the UE location can be effectively improved.

[0042] In one example, the historical location measurement information reported by at least one UE included in the measurement report may include speed information and / or signal transmission angle (Angle-of-Departure, AOD) measurement information, and the historical location measurement information of at least one UE measured by the base station included in the measurement report includes signal arrival angle (Angle of Arrival, AOA) measurement information. By introducing speed information and AOD measurement information, the accuracy of predicting the UE location can be effectively improved. Furthermore, based on the UE's measurement of speed information and AOD measurement information, combined with the UE's AOA measurement information measured by the base station, the accuracy of predicting the UE location can be further improved.

[0043] Exemplarily, the historical location measurement information reported by the at least one UE further includes at least one of the following: a UE identifier, at least one historical time point, and location information (e.g., longitude and latitude coordinates) of at least one historical time point, wherein the UE identifier corresponds to the at least one historical time point, the location information, the speed information, and / or the AOD measurement information. The historical location measurement information of at least one UE measured by the base station further includes at least one of the following: a UE identifier, at least one historical time point, and the UE identifier corresponds to the at least one historical time point and the AOA measurement information.

[0044] In an example, when the server is a separate network element, the above step S101 may be implemented by the server obtaining the measurement report sent by the base station through the interface between the server and the base station;

[0045] In the case that the server is a network element inside the base station, the above step S101 may be implemented by the server obtaining the measurement report sent by the base station through an interface inside the base station.

[0046] Accordingly, in the case where the server is a separate network element, the above step S103 may be implemented by the server sending the notification information to the base station through the interface between the server and the base station;

[0047] In the case that the server is a network element inside the base station, the above step S103 may be implemented by the server sending the notification information to the control plane of the base station through an interface inside the base station.

[0048] In one example, when the server determines the predicted location information of at least one UE at a first time point or a first time period, it can select an ML algorithm for model training and model prediction based on relevant data information in the measurement report to predict the location of at least one UE at one or more future time points.

[0049] Furthermore, the server can generate optimization operation information based on the determined predicted location information and send a notification message carrying the optimization operation information to the base station via a RAN operation request message, causing the base station to perform the optimization operation based on the optimization operation information. Alternatively, the server can directly send the predicted location information to the base station in a notification message, and the base station can determine and perform the corresponding optimization operation based on the predicted location information.

[0050] The optimization operation information generated by the server may include at least one operation instruction and at least one parameter corresponding to the operation.

[0051] Figure 2 This is a flowchart of a location prediction method provided in an embodiment of the present application. The method can be applied to a base station, such as Figure 2 As shown, the method may include the following steps:

[0052] S201. The base station sends a measurement report message to the server.

[0053] Exemplarily, the measurement report message in this step may include historical location measurement information reported by at least one UE and / or historical location measurement information of at least one UE measured by the base station;

[0054] The above-mentioned server may be an AI server, which may be a separate network element or a network element arranged inside a base station.

[0055] S202. The base station obtains notification information sent by the server according to the measurement report message.

[0056] Optionally, the notification information may carry predicted location information or optimized operation information. The predicted location information is the predicted location information of at least one UE at a first time point or a first time period determined by the server based on the measurement report after the server receives the measurement report sent by the base station. For example, the predicted location information may include one or more of the following: predicted latitude and longitude coordinates, predicted cell identifier, predicted altitude information, predicted connection beam identifier information with a certain cell, and predicted tracking area (TA) information.

[0057] The optimization operation information may be information generated by the server according to the predicted position information, and the optimization operation information may include at least one operation instruction and at least one parameter corresponding to the operation.

[0058] The above-mentioned first time point or first time period can be understood as a certain time point or a certain time period in the future, that is, the server determines the predicted location information of at least one UE at a certain time point or multiple time points in the future (that is, a certain time period).

[0059] S203: The base station performs optimization operations according to the notification information.

[0060] Optionally, when the notification information carries optimization operation information, the base station can directly perform optimization operations based on the notification information; when the notification information carries predicted location information, the base station determines to perform corresponding optimization operations based on the predicted location information.

[0061] Exemplarily, the above-mentioned optimization operation indication may include UE switching indication, cell off / on indication, radio resource activation / deactivation indication, power adjustment indication, radio resource management (Radio Resource Management, RRM) parameter reconfiguration indication, offloading operation indication, protocol layer parameter reconfiguration indication, etc.

[0062] Furthermore, during the process of the base station performing optimization operations, if the optimization operation involves at least one UE, for example, based on the predicted location information, the corresponding UE is switched to another target base station, the base station can send a radio resource control (Radio Resource Control, RRC) reconfiguration message or an RRC release message to the UE connected to this base station to notify it to perform relevant operations.

[0063] In one example, the historical location measurement information reported by at least one UE includes speed information and / or signal transmission angle AOD measurement information, and the historical location measurement information of at least one UE measured by the base station includes signal arrival angle AOA measurement information.

[0064] In one example, when the server is a separate network element, step S201 can be implemented by the base station sending a measurement report through the interface between the base station and the server; or, when the server is a network element inside the base station, step S201 can be implemented by the base station sending a measurement report to the server through its internal interface.

[0065] Accordingly, when the server is a separate network element, the implementation method of step S202 can be that the base station obtains the notification information through the interface between it and the server; or, when the server is a network element inside the base station, the implementation method of step S202 can be that the base station obtains the notification information through its internal interface.

[0066] like Figure 3 In one example, before executing step S201, the embodiment of the present application further provides an implementation method including but not limited to the following steps:

[0067] S301. A base station sends historical location measurement control information to at least one determined UE.

[0068] Exemplarily, the manner in which the base station determines the at least one UE mentioned above may include: the base station receives an activation message sent by the core network, the activation message carries first indication information, the first indication information is used to indicate policy information, and the policy information includes at least one type of object identification information. For example, at least one UE identifier, at least one cell identifier, at least one public network PLMN identifier, at least one non-public network identifier, at least one base station identifier, and at least one tracking area (Tracking Area Code, TAC) identifier. Among them, the UE identifier is used to indicate which UEs are to be position predicted, and the TAC identifier is used to indicate in which areas the UE's position is to be predicted and tracked.

[0069] The base station determines at least one UE based on at least one type of object identification information. For example, the base station determines at least one UE based on the UE's identification, cell identification, etc. Furthermore, the base station transmits historical location measurement control information to the determined at least one UE.

[0070] S302. The base station receives historical location measurement information reported by at least one UE according to historical location measurement control information.

[0071] The implementation process of steps S301 and S302 above is further described in detail below using a specific example. For example, when the server is a separate network element, the core network may send an activation message (ML Activation Message) to the server through the interface between the core network and the server. The activation message may carry first indication information. Furthermore, the activation message may also carry second indication information and third indication information. The second indication information may be used to indicate whether a function for predicting the UE location is activated, and the third indication information may be used to instruct the activation server to use a machine learning (ML) function.

[0072] Optionally, the above-mentioned policy information may further include communication quality indicator information, where the communication quality indicator information is used to indicate the communication quality that the object corresponding to the object identifier needs to achieve.

[0073] After receiving the activation message, the server may send an ML session setup request message (ML SESSION SETUP REQUEST) to the base station. This session setup request message is used to configure the base station-side measurement data required for a specific ML session. Optionally, the message may also include an ML session identifier, location prediction measurement control information (e.g., UE speed information, uplink AOA measurement information, downlink AOD measurement information), and policy information.

[0074] Optionally, the base station may also receive a message sent by the core network, such as a UE initial context setup request message, a handover request message, or a trace start message. Optionally, the message sent by the core network may carry at least one of the following: an indication of whether the UE supports and enables minimized drive-tests (MDT) location prediction measurements. In this way, the base station can determine at least one UE for which location prediction is required by combining the policy information with the message sent by the core network.

[0075] Furthermore, the base station may configure historical location measurement control information for the determined at least one UE based on the policy information and location prediction measurement control information in the ML session establishment request message sent by the server. For example, the base station configures whether the UE measures speed information and / or AOD measurement information, and sends the historical location measurement control information to the at least one UE connected to the base station via an RRC establishment message or a reconfiguration message.

[0076] Optionally, the base station may also configure whether it needs to measure historical location measurement information (eg, AOA measurement information) of at least one determined UE.

[0077] If both the base station and UE measurements are configured successfully, the base station may send an ML session establishment response message to the server, which may include a configuration success indication. If either the base station or UE measurement configuration fails, the ML session establishment response message may include a configuration failure indication. Optionally, the ML session establishment response message sent by the base station to the server may also include an ML session identifier.

[0078] If both the base station and UE measurements are configured successfully, the base station and the at least one UE may measure relevant information according to the configuration. For example, the base station may measure AOA measurement information of the at least one UE, and the at least one UE may measure speed information and / or AOD measurement information.

[0079] Optionally, historical location measurement information measured by at least one UE based on the historical location measurement control information may be carried in an MDT measurement configuration information element of an RRC setup message or reconfiguration message and sent to the base station. The base station then sends the historical location measurement information reported by the at least one UE to the server in the form of a measurement report. Similarly, historical location measurement information of the at least one UE measured by the base station itself may also be sent to the server in the form of a measurement report. Optionally, when the base station sends the measurement report to the server, it may carry the ML session identifier to which it belongs.

[0080] It is understandable that when the server is an internal network element of the base station, the core network can directly send an activation message to the base station. Accordingly, the server and the base station do not need to establish an ML session message, but can directly exchange relevant information through the internal interface of the base station.

[0081] Figure 4 A schematic diagram of the structure of a position prediction device provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the apparatus may include: an acquisition module 401, a determination module 401, and a sending module 403;

[0082] An acquisition module, configured to acquire a measurement report message sent by a base station;

[0083] The measurement report message includes historical location measurement information reported by at least one UE and / or historical location measurement information of at least one UE measured by the base station;

[0084] A determination module, configured to determine predicted location information of at least one UE at a first time point or a first time period according to the measurement report message;

[0085] The sending module is used to send notification information to the base station according to the predicted location information.

[0086] Exemplarily, the historical location measurement information reported by the at least one UE may include speed information and / or signal transmission angle AOD measurement information, and the historical location measurement information of the at least one UE measured by the base station may include signal arrival angle AOA measurement information.

[0087] In one example, when the server is a separate network element, the acquisition module may acquire the measurement report sent by the base station through an interface between the server and the base station;

[0088] Alternatively, when the server is a network element inside the base station, the acquisition module may acquire the measurement report sent by the base station through an interface inside the base station.

[0089] In an example, the historical location measurement information reported by at least one UE may further include at least one of the following: a UE identifier, at least one historical time point, and location information of at least one historical time point, wherein the UE identifier corresponds to the at least one historical time point, the location information, the speed information, and / or the AOD measurement information;

[0090] The historical location measurement information of at least one UE measured by the base station further includes at least one of the following: a UE identifier, at least one historical time point, and the UE identifier corresponds to the at least one historical time point and the AOA measurement information.

[0091] Optionally, the notification information may carry predicted location information, or optimized operation information.

[0092] In an example, the above-mentioned device may further include a generation module, which is used to generate optimized operation information based on the predicted position information, wherein the optimized operation information includes at least one operation instruction and a parameter corresponding to at least one operation.

[0093] In one example, when the server is a separate network element, the sending module can send the notification information to the base station through the interface between it and the base station; or, when the server is a network element inside the base station, the sending module can send the notification information to the control plane of the base station through the interface inside the base station.

[0094] The position prediction device provided in this embodiment is used to implement Figure 1 The location prediction method of the illustrated embodiment has similar implementation principles and technical effects, which will not be described in detail here.

[0095] Figure 5 A schematic diagram of the structure of a position prediction device provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the device includes: a sending module 501, an acquisition module 502, and an execution module 503;

[0096] a sending module, configured to send a measurement report message to a server, where the measurement report message includes historical location measurement information reported by at least one UE and / or historical location measurement information of at least one UE measured by the above-mentioned apparatus;

[0097] An acquisition module, configured to acquire notification information sent by the server according to the measurement report message;

[0098] The execution module is used to perform optimization operations based on the notification information.

[0099] Optionally, the historical location measurement information reported by the at least one UE may include speed information and / or signal transmission angle AOD measurement information, and the historical location measurement information of the at least one UE measured by the base station may include signal arrival angle AOA measurement information.

[0100] In one example, when the server is a separate network element, the sending module can send the measurement report through the interface between it and the server; or, when the server is a network element inside the base station, the sending module can send the measurement report to the server through its internal interface.

[0101] In one example, the above device may further include a receiving module;

[0102] The sending module is further configured to send historical location measurement control information to the determined at least one UE;

[0103] The receiving module may be configured to receive historical location measurement information reported by at least one UE according to historical location measurement control information.

[0104] In one example, the apparatus may further include a determination module;

[0105] The receiving module number is used to receive an activation message sent by the core network, where the activation message carries first indication information, where the first indication information is used to indicate policy information, and the policy information includes at least one type of object identification information;

[0106] The determination module can be configured to determine at least one UE according to at least one type of object identification information.

[0107] In one example, when the server is a separate network element, the acquisition module can obtain notification information through the interface between it and the server; or, when the server is a network element inside the base station, the acquisition module can obtain notification information through its internal interface.

[0108] Exemplarily, the notification information carries predicted location information, or optimized operation information;

[0109] Among them, the predicted location information is the predicted location information of at least one UE at the first time point or the first time period determined by the server based on the measurement report, and the optimized operation information is the information generated by the server based on the predicted location information. The optimized operation information includes at least one operation indication and at least one parameter corresponding to the operation.

[0110] In one example, the execution module may be configured to perform an optimization operation according to the optimization operation information carried in the notification information;

[0111] Alternatively, the determination module determines the corresponding optimization operation according to the predicted position information carried in the notification information, and the execution module executes the corresponding optimization operation.

[0112] The position prediction device provided in this embodiment is used to implement Figure 2 、 Figure 3 The location prediction method of the illustrated embodiment has similar implementation principles and technical effects, which will not be described in detail here.

[0113] Figure 6 A schematic diagram of a node structure provided by an embodiment is shown in FIG. Figure 6 As shown, the node includes a processor 601 and a memory 602; the number of processors 601 in the node can be one or more. Figure 6 In the example, a processor 601 is used; the processor 601 and the memory 602 in the node can be connected by a bus or other means. Figure 6 The bus connection is taken as an example.

[0114] The memory 602 is a computer-readable storage medium that can be used to store software programs, computer executable programs, and modules. Figure 1 、 Figure 2 、 Figure 3 The program instructions / modules corresponding to the location prediction method in the embodiment (e.g., the sending module 501, the obtaining module 502, and the executing module 503 in the location prediction device) The processor 601 implements the above-mentioned location prediction method by running the software programs, instructions, and modules stored in the memory 602.

[0115] The memory 602 may primarily include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function; the data storage area may store data generated based on the use of the set-top box. Furthermore, the memory 602 may include a high-speed random access memory and a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device.

[0116] An embodiment of the present application also provides a readable and writable storage medium for computer storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to perform a position prediction method in the above embodiment.

[0117] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above and the functional modules / units in the communication nodes may be implemented as software, firmware, hardware, or appropriate combinations thereof.

[0118] In a hardware implementation, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, as is well known to those skilled in the art, communication media typically embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0119] The above description with reference to the accompanying drawings is merely an illustration of exemplary embodiments of the present application and does not limit the scope of the present invention. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and essence of the present invention shall fall within the scope of the present invention.

Claims

1. A location prediction method, characterized in that: include: The server obtains the measurement report message sent by the base station; The measurement report message includes historical location measurement information reported by at least one user equipment UE and / or historical location measurement information of at least one UE measured by the base station, the historical location measurement information reported by the at least one UE includes signal transmission angle AOD measurement information, and the historical location measurement information of the at least one UE measured by the base station includes signal arrival angle AOA measurement information; The server determines, according to the measurement report message, predicted location information of the at least one UE at a first time point or a first time period; The server sends notification information to the base station according to the predicted location information.

2. The method according to claim 1, characterized in that The historical location measurement information reported by the at least one UE further includes speed information.

3. The method according to claim 1, characterized in that The server obtains the measurement report sent by the base station, including: In the case where the server is a separate network element, the server obtains the measurement report sent by the base station through an interface between the server and the base station; Alternatively, in a case where the server is a network element inside the base station, the server obtains the measurement report sent by the base station through an interface inside the base station.

4. The method according to claim 2, characterized in that The historical location measurement information reported by the at least one UE further includes at least one of the following: UE identifier, at least one historical time point, and location information of the at least one historical time point, wherein the UE identifier corresponds to the at least one historical time point, the location information, the speed information, and / or the AOD measurement information; The historical location measurement information of the at least one UE measured by the base station further includes at least one of the following: A UE identifier and at least one historical time point, where the UE identifier corresponds to the at least one historical time point and the AOA measurement information.

5. The method according to claim 1, wherein The notification information carries the predicted location information, or optimization operation information.

6. The method according to claim 5, characterized in that In a case where the notification information carries optimization operation information, before the server sends the notification information to the base station according to the predicted location information, the method further includes: The server generates optimized operation information according to the predicted position information.

7. The method according to claim 6, characterized in that The optimization operation information includes at least one operation instruction and at least one parameter corresponding to the operation.

8. The method according to any one of claims 5 to 7, characterized in that: The server sending notification information to the base station according to the predicted location information includes: In the case where the server is a separate network element, the server sends the notification information to the base station through an interface between the server and the base station; Alternatively, in a case where the server is a network element inside the base station, the server sends the notification information to a control plane of the base station through an interface inside the base station.

9. A location prediction method, characterized in that: The method comprises: The base station sends a measurement report message to the server, where the measurement report message includes historical location measurement information reported by at least one user equipment UE and / or historical location measurement information of at least one UE measured by the base station, where the historical location measurement information reported by the at least one UE includes signal transmission angle AOD measurement information, and the historical location measurement information of the at least one UE measured by the base station includes signal arrival angle AOA measurement information; Acquiring, by the base station, notification information sent by the server according to the measurement report message; The base station performs optimization operations according to the notification information.

10. The method according to claim 9, characterized in that The historical location measurement information reported by the at least one UE further includes speed information.

11. The method according to claim 9, characterized in that The base station sends a measurement report to the server, including: In the case where the server is a separate network element, the base station sends the measurement report through an interface between the base station and the server; Alternatively, in a case where the server is a network element within the base station, the base station sends a measurement report to the server through its internal interface.

12. The method according to claim 11, characterized in that Before the base station sends the measurement report to the server, the method further includes: The base station sends historical location measurement control information to the determined at least one UE; The base station receives historical location measurement information reported by the at least one UE according to the historical location measurement control information.

13. The method according to claim 11, characterized in that The base station determines at least one UE, including: The base station receives an activation message sent by a core network, where the activation message carries first indication information, where the first indication information is used to indicate policy information, and the policy information includes at least one type of object identification information; The base station determines at least one UE according to the at least one type of object identification information.

14. The method according to claim 9, characterized in that The base station obtaining notification information sent by the server according to the measurement report message includes: In the case where the server is a separate network element, the base station obtains the notification information through an interface between the base station and the server; Alternatively, when the server is a network element inside the base station, the base station obtains the notification information through its internal interface.

15. The method according to claim 9 or 14, characterized in that The notification information carries predicted location information, or optimization operation information; The predicted location information is the predicted location information of the at least one UE at a first time point or a first time period determined by the server according to the measurement report; The optimized operation information is generated by the server according to the predicted position information, and the optimized operation information includes at least one operation instruction and at least one parameter corresponding to the operation.

16. The method according to claim 15, characterized in that The base station performs an optimization operation according to the notification information, including: The base station performs an optimization operation according to the optimization operation information carried in the notification information; Alternatively, the base station determines to perform a corresponding optimization operation according to the predicted location information carried in the notification information.

17. A position prediction device, characterized in that: The device comprises: An acquisition module, configured to acquire a measurement report message sent by a base station; The measurement report message includes historical location measurement information reported by at least one user equipment UE and / or historical location measurement information of at least one UE measured by the base station, the historical location measurement information reported by the at least one UE includes signal transmission angle AOD measurement information, and the historical location measurement information of the at least one UE measured by the base station includes signal arrival angle AOA measurement information; a determining module, configured to determine, according to the measurement report message, predicted location information of the at least one UE at a first time point or a first time period; A sending module is used to send notification information to the base station according to the predicted location information.

18. A position prediction device, characterized in that: The device comprises: a sending module, configured to send a measurement report message to a server, the measurement report message including historical location measurement information reported by at least one user equipment UE and / or historical location measurement information of at least one UE measured by the apparatus, the historical location measurement information reported by the at least one UE including signal transmission angle AOD measurement information, and the historical location measurement information of the at least one UE measured by the apparatus including signal arrival angle AOA measurement information; an acquisition module, configured to acquire notification information sent by the server according to the measurement report message; An execution module is used to perform optimization operations according to the notification information.

19. A node, characterized in that: include: A memory, a processor, a program stored in the memory and executable on the processor, and a data bus for realizing connection and communication between the processor and the memory, wherein the program, when executed by the processor, realizes the position prediction method according to any one of claims 1 to 8, or the position prediction method according to any one of claims 9 to 16.

20. A readable and writable storage medium for computer storage, characterized in that: The storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the position prediction method as described in any one of claims 1-8, or the position prediction method as described in any one of claims 9-16.

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