WO2022033436A1 - 位置预测方法、装置、节点和存储介质 - Google Patents

位置预测方法、装置、节点和存储介质 Download PDF

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Publication number
WO2022033436A1
WO2022033436A1 PCT/CN2021/111559 CN2021111559W WO2022033436A1 WO 2022033436 A1 WO2022033436 A1 WO 2022033436A1 CN 2021111559 W CN2021111559 W CN 2021111559W WO 2022033436 A1 WO2022033436 A1 WO 2022033436A1
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Prior art keywords
information
base station
server
measurement
measurement report
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PCT/CN2021/111559
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English (en)
French (fr)
Inventor
刘壮
高音
陈嘉君
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中兴通讯股份有限公司
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Priority to EP21855488.9A priority Critical patent/EP4090068A4/en
Priority to US17/799,574 priority patent/US20230179309A1/en
Priority to BR112022015708A priority patent/BR112022015708A2/pt
Priority to JP2022548157A priority patent/JP7520131B2/ja
Publication of WO2022033436A1 publication Critical patent/WO2022033436A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/20—Monitoring; Testing of receivers
    • H04B17/27—Monitoring; Testing of receivers for locating or positioning the transmitter
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/0009—Transmission of position information to remote stations
    • G01S5/0018—Transmission from mobile station to base station
    • G01S5/0036—Transmission from mobile station to base station of measured values, i.e. measurement on mobile and position calculation on base station
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/0278—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves involving statistical or probabilistic considerations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G01S5/0294—Trajectory determination or predictive filtering, e.g. target tracking or Kalman filtering
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/20—Monitoring; Testing of receivers
    • H04B17/26—Monitoring; Testing of receivers using historical data, averaging values or statistics
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/00837—Determination of triggering parameters for hand-off
    • H04W36/008375—Determination of triggering parameters for hand-off based on historical data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/32—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/0009—Transmission of position information to remote stations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/34—Reselection control
    • H04W36/38—Reselection control by fixed network equipment
    • H04W36/385—Reselection control by fixed network equipment of the core network

Definitions

  • the present invention relates to the field of wireless communication technologies, and in particular, to a location prediction method, device, node and storage medium.
  • the main purpose of the embodiments of the present invention is to propose a method, device, node and storage medium for location prediction, aiming to effectively improve the accuracy of predicting the location of the UE.
  • an embodiment of the present invention provides a method for position prediction, the method includes the following steps:
  • 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 (User Equipment, UE) and/or historical location measurement information of at least one UE measured by the base station;
  • User Equipment User Equipment
  • the server determines, according to the measurement report message, the predicted location information of the at least one UE at the first time point or the first time period;
  • the server sends notification information to the base station according to the predicted location information.
  • an embodiment of the present invention provides a method for position prediction, the method includes the following steps:
  • 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;
  • the base station obtains the notification information sent by the server according to the measurement report message
  • the base station performs optimization operations according to the notification information.
  • an embodiment of the present invention provides a position prediction device, the device includes:
  • an acquisition module for acquiring the measurement report message sent by the 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;
  • a determining module configured to determine the predicted location information of the at least one UE at a first time point or a first time period according to the measurement report message
  • the sending module is configured to send notification information to the base station according to the predicted location information.
  • an embodiment of the present invention provides a position prediction device, the device includes:
  • a sending module configured to send 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 device;
  • an acquisition module configured to acquire notification information sent by the server according to the measurement report message
  • the execution module is used to optimize the operation according to the notification information.
  • an embodiment of the present invention provides a node, which includes a memory, a processor, a program stored in the memory and running on the processor, and a program for implementing connection and communication between the processor and the memory.
  • the data bus when the program is executed by the processor, implements the position prediction method provided by the embodiment of the present application.
  • the embodiments of the present invention provide a readable and writable storage medium for computer storage, the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors, In order to realize the position prediction method provided by the embodiment of the present application.
  • Embodiments of the present application provide a method, device, node, and storage medium for location prediction.
  • the server obtains a measurement report message sent by a base station, where the measurement report message includes historical location measurement information reported by at least one UE and/or at least one UE measured by the base station.
  • the server determines the predicted location information of 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 location information.
  • FIG. 1 is a flowchart of a method for position prediction provided by an embodiment of the present invention.
  • FIG. 2 is a flowchart of a method for position prediction provided by an embodiment of the present invention.
  • FIG. 3 is a flowchart of a method for position prediction provided by an embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram of a position prediction apparatus provided by an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of a position prediction apparatus provided by an embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of a node provided by an embodiment of the present invention.
  • words such as “optionally” or “exemplarily” are used to represent examples, illustrations, or illustrations. Any embodiment or design described in the embodiments of the present application as “optionally” or “exemplarily” should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as “optionally” or “exemplarily” is intended to present the related concepts in a specific manner.
  • FIG. 1 is a flowchart of a method for position prediction provided by an embodiment of the present application.
  • the method can be applied to an AI server. As shown in FIG. 1 , the method can include the following steps:
  • the server acquires the measurement report message sent by the base station.
  • the server may be an AI server, which may be an independent network element, or may be a network element disposed inside the base station.
  • the acquired measurement report message 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.
  • the server determines the predicted location information of at least one UE at a first time point or a first time period according to the measurement report message.
  • the first time point or first time period in this step can be understood as a certain time point or time period in the future, that is, the server obtains the historical location measurement information reported by at least one UE, and/or, at least one measured by the base station After the historical location information of one UE is measured, the predicted location information of at least one UE at a certain time point or multiple time points (ie, a certain time period) in the future can be determined based on the obtained information.
  • the predicted location information may include one or more of the following: predicted latitude and longitude coordinates, predicted cell identification, predicted altitude information, predicted connection beam identification information with a certain cell, predicted tracking area information ( tracking area, TA).
  • S103 The server sends notification information to the base station according to the predicted location information.
  • the notification information in this embodiment may carry predicted location information indicating a UE, or may be optimization operation information generated by the server according to the predicted location information.
  • the base station can perform the optimization operation according to the optimization operation information sent by the server, or determine and execute the relevant optimization operation according to the predicted location information sent by the server.
  • An embodiment of the present application provides a method for location prediction.
  • the server acquires a measurement report message sent by a base station, 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.
  • the predicted location information of the at least one UE at the first time point or the first time period is determined according to the measurement report message, and notification information is sent to the base station according to the predicted location information.
  • the historical location measurement information reported by at least one UE included in the measurement report may include speed information, and/or angle-of-departure (AOD) measurement information
  • the base station included in the measurement report The measured historical location measurement information of at least one UE includes signal angle of arrival (Angle of Arrival, AOA) measurement information.
  • AOA angle of arrival
  • 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 (for example, latitude and longitude coordinates) of at least one historical time point, where the UE identifier is the same as the latitude and longitude coordinates.
  • At least one historical time point, position information, speed information and/or AOD measurement information are in a corresponding relationship.
  • the historical location measurement information of at least one UE measured by the base station further includes at least one of the following: UE identifier and at least one historical time point, where the UE identifier is in a corresponding relationship with at least one historical time point and AOA measurement information.
  • step S101 may be that the server obtains the measurement report sent by the base station through the interface between the server and the base station;
  • the implementation manner of the foregoing step S101 may be that the server obtains the measurement report sent by the base station through an interface inside the base station.
  • the implementation manner of the above step S103 may be that the server sends the notification information to the base station through the interface between it and the base station;
  • the implementation manner of the foregoing step S103 may be that the server sends the notification information to the control plane of the base station through an interface inside the base station.
  • the server when the server determines the predicted location information of the at least one UE at the first time point or the first time period, it may select an ML algorithm to perform model training and model prediction according to the relevant data information in the measurement report, so as to predict at least one The location of a UE at one or more time points in the future.
  • the server may generate optimization operation information according to the determined predicted location information, and send notification information carrying the optimization operation information to the base station by means of a RAN operation request message, so that the base station performs the optimization operation according to the optimization operation information.
  • the server may directly carry the predicted location information in the notification information and send it to the base station, and the base station determines to perform a corresponding optimization operation according to the predicted location information.
  • the optimization operation information generated by the server may include at least one operation indication and at least one parameter corresponding to the operation.
  • FIG. 2 is a flowchart of a method for location prediction provided by an embodiment of the present application. The method may be applied to a base station. As shown in FIG. 2 , the method may include the following steps:
  • the base station sends a measurement report message to the server.
  • 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;
  • the above-mentioned server may be an AI server, which may be a separate network element, or may be a network element disposed inside the base station.
  • the base station acquires notification information sent by the server according to the measurement report message.
  • the above notification information may carry predicted location information, or optimization 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 according to the measurement report after the server receives the measurement report sent by the base station.
  • the predicted location information may include one or more of the following: predicted latitude and longitude coordinates, predicted cell identity, predicted altitude information, predicted connection beam identification information with a certain cell, predicted tracking area information (tracking area, TA).
  • the optimization operation information may be information generated by the server according to the predicted location information, and the optimization operation information may include at least one operation indication and at least one operation corresponding parameter.
  • the above-mentioned first time point or first time period can be understood as a certain time point in the future or a certain time period in the future, that is, the server determines that the at least one UE is at a certain time point or multiple time points in the future (that is, a certain time period). Predicted location information.
  • the base station performs an optimization operation according to the notification information.
  • the base station can directly perform the optimization operation according to the notification information; when the notification information carries the predicted location information, the base station determines by itself to perform the corresponding optimization operation according to the predicted location information.
  • the above-mentioned optimization operation indication may include a UE handover indication, a cell closing/opening indication, a radio resource activation/deactivation indication, a power adjustment indication, a radio resource management (Radio Resource Management, RRM) parameter reconfiguration indication, and an offload operation indication. , protocol layer parameter reconfiguration instructions, etc.
  • RRM Radio Resource Management
  • the base station can send a radio resource control (Radio Resource Control, RRC) ) Reconfiguration message or RRC release message to the UE connected to the base station, informing it to perform related operations.
  • RRC Radio Resource Control
  • the historical location measurement information reported by at least one UE includes velocity information and/or signal transmission angle AOD measurement information
  • the historical location measurement information of at least one UE measured by the base station includes signal angle of arrival AOA measurement information
  • step S201 may be that the base station sends a measurement report through an interface between the base station and the server; or, when the server is a network element inside the base station , Step S201 may be implemented in that the base station sends a measurement report to the server through its internal interface.
  • step S202 may be that the base station obtains notification information through the interface between the base station and the server; or, in the case that the server is a network element inside the base station, step S202 The implementation manner may be that the base station obtains the notification information through its internal interface.
  • an embodiment of the present application further provides an implementation manner including but not limited to the following steps:
  • the base station sends historical location measurement control information to the determined at least one UE.
  • the manner in which the base station determines the at least one UE may include: the base station receives 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 Class object identification information.
  • the base station receives 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 Class object identification information.
  • the 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.
  • the identifier of the UE is used to indicate which UEs to perform location prediction on, and the TAC identifier is used to indicate in which areas the location of the UE is to be predicted and tracked.
  • the base station determines at least one UE according to at least one type of object identification information. For example, the base station determines at least one UE according to the identity of the UE, the identity of the cell, and the like. Further, 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 at least one UE according to the historical location measurement control information.
  • the core network can send an activation message (ML Activation Message) to the server through the interface between it and the server.
  • the activation message may carry the first indication information.
  • the second indication information and the third indication information can also be carried, wherein the second indication information can be used to indicate whether the function of predicting the location of the UE is activated, and the third indication information can be used to instruct the activation server to use machine learning (Machine Learning). , ML) function.
  • the above-mentioned policy information may further include communication quality index information, where the communication quality index information is used to indicate the communication quality that the object corresponding to the object identifier needs to achieve.
  • the server may send an ML session establishment request message (ML SESSION SETUP REQUEST) to the base station, where the session establishment request message is used to configure the measurement data on the base station side required by a certain ML session.
  • the message may further include an ML session identifier, location prediction measurement control information (eg, UE speed information, uplink AOA measurement information, downlink AOD measurement information), and policy information.
  • the base station may also receive messages sent by the core network, such as a UE text setup request (initial context setup request) message, or a handover request message (handover request), or a path request message (Trace start).
  • the message sent by the core network may carry at least one of the following: an indication of whether the UE supports or enables the Minimization of Drive-tests (MDT) location prediction measurement.
  • MDT Minimization of Drive-tests
  • the base station may configure historical location measurement control information for the determined at least one UE according to the policy information and the 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 historical location measurement control information to at least one UE connected to the base station in the form of an RRC setup message or a reconfiguration message.
  • the base station may also configure whether it needs to measure the determined historical location measurement information (eg, AOA measurement information) of the at least one UE.
  • the determined historical location measurement information eg, AOA measurement information
  • the base station may send an ML session establishment response message to the server, which may carry a configuration success indication; if the measurement configuration at the base station side or the UE side fails, the ML session establishment response message It carries the configuration failure indication.
  • the ML session establishment response message sent by the base station to the server may also carry the ML session identifier.
  • the base station and at least one UE may measure related information according to the configuration.
  • the base station may measure AOA measurement information of at least one UE, at least one UE may measure speed information, and/or AOD measurement information.
  • the historical location measurement information measured by the at least one UE according to the historical location measurement control information may be carried in the MDT measurement configuration information element of the RRC setup message or the reconfiguration message and sent to the base station, and the base station will report the historical location of the at least one UE. Measurement information is sent to the server in the form of measurement reports. Similarly, the historical location measurement information of 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.
  • the server 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 directly conduct relevant information through the internal interface of the base station. interaction.
  • FIG. 4 is a schematic structural diagram of a position prediction apparatus provided by an embodiment of the present application.
  • the apparatus may include: an acquisition module 401 , a determination module 402 , and a transmission module 403 ;
  • an acquisition module for acquiring the measurement report message sent by the 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;
  • a determining module configured to determine the predicted location information of the at least one UE at a first time point or a first time period according to the measurement report message
  • the sending module is configured to send notification information to the base station according to the predicted location information.
  • the historical position measurement information reported by the at least one UE may include speed information and/or signal transmission angle AOD measurement information
  • the historical position measurement information of the at least one UE measured by the base station may include signal angle of arrival AOA measurement information.
  • the acquisition module may acquire the measurement report sent by the base station through an interface between it and the base station;
  • the obtaining module may obtain the measurement report sent by the base station through an interface inside the base station.
  • 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, where the UE identifier is associated with at least one historical time point. point, position information, velocity information and/or AOD measurement information in a corresponding relationship;
  • the historical location measurement information of at least one UE measured by the base station further includes at least one of the following: UE identifier and at least one historical time point, where the UE identifier is in a corresponding relationship with at least one historical time point and AOA measurement information.
  • the notification information may carry predicted location information, or optimization operation information.
  • the above apparatus may further include a generating module configured to generate optimization operation information according to the predicted position information, wherein the optimization operation information includes at least one operation indication and at least one operation corresponding parameter.
  • the sending module may 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.
  • the position prediction apparatus provided in this embodiment is used to implement the position prediction method of the embodiment shown in FIG. 1 , and the implementation principle and technical effect thereof are similar, which will not be repeated here.
  • FIG. 5 is a schematic structural diagram of a position prediction apparatus provided by an embodiment of the present application. As shown in FIG. 5 , the apparatus includes: a sending module 501 , an obtaining module 502 , and an executing module 503 ;
  • a sending module configured to send 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 above-mentioned device;
  • an acquisition module configured to acquire notification information sent by the server according to the measurement report message
  • the execution module is used to optimize the operation according to the notification information.
  • the historical position measurement information reported by the at least one UE may include speed information and/or signal transmission angle AOD measurement information
  • the historical position measurement information of the at least one UE measured by the base station may include signal angle of arrival AOA measurement information.
  • the sending module can send the measurement report through the interface between the server and the server; or, when the server is a network element inside the base station, the sending module can send the measurement report through its interface.
  • the internal interface sends measurement reports to the server.
  • the above apparatus may further include a receiving module
  • the sending module is further configured to send historical location measurement control information to the determined at least one UE;
  • the receiving module may be configured to receive historical location measurement information reported by at least one UE according to the historical location measurement control information.
  • the above apparatus may further include a determining module
  • the receiving module is configured to receive an activation message sent by the core network, where 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;
  • the determining module may be configured to determine at least one UE according to at least one type of object identification information.
  • the obtaining module can obtain notification information through an interface between the server and the server; or, when the server is a network element inside the base station, the obtaining module can obtain notification information through its interface.
  • the internal interface gets notification information.
  • the notification information carries predicted location information, or optimization 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 according to the measurement report
  • the optimization operation information is information generated by the server according to the predicted location information
  • the optimization operation information includes at least one item
  • the operation indicates the parameters corresponding to at least one operation.
  • the execution module may be configured to perform the optimization operation according to the optimization operation information carried in the notification information;
  • the determination module determines the corresponding optimization operation according to the predicted position information carried in the notification information, and the execution module performs the corresponding optimization operation.
  • the position prediction apparatus provided in this embodiment is used to implement the position prediction method of the embodiment shown in FIG. 2 and FIG. 3 , and the implementation principle and technical effect thereof are similar, which will not be repeated here.
  • FIG. 6 is a schematic structural diagram of a node provided by an embodiment.
  • the node includes a processor 601 and a memory 602; the number of processors 601 in the node may be one or more.
  • the processor 601 Take the processor 601 as an example; the processor 601 and the memory 602 in the node may be connected by a bus or in other ways, and the connection by a bus is taken as an example in FIG. 6 .
  • the memory 602 can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the position prediction methods in the embodiments of FIG. 1, FIG. 2, and FIG. , the sending module 501, the acquiring module 502, and the executing module 503 in the position prediction apparatus).
  • the processor 601 implements the above-mentioned position prediction method by running the software programs, instructions and modules stored in the memory 602 .
  • the memory 602 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the set-top box, and the like. Additionally, memory 602 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device.
  • Embodiments of the present application further provide a readable and writable storage medium for computer storage, where the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to perform the above implementation An example of a location prediction method.
  • the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be composed of several physical components Components execute cooperatively.
  • Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit .
  • Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media).
  • Computer storage media includes both volatile and nonvolatile implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules or other data flexible, removable and non-removable media.
  • Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices, or may Any other medium used to store desired information and which can be accessed by a computer.
  • 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 can include any information delivery media, as is well known to those of ordinary skill in the art .

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Abstract

本发明公开一种位置预测方法、装置、节点和存储介质，服务器获取基站发送的测量报告消息，测量报告消息包括至少一个UE上报的历史位置测量信息和/或基站测量的至少一个UE的历史位置测量信息，服务器根据测量报告消息确定至少一个UE在第一时间点或第一时间段的预测位置信息，并根据预测位置信息向基站发送通知信息。通过引入多个维度的测量信息，可以有效提高预测UE位置的准确性。

Description

位置预测方法、装置、节点和存储介质
本申请要求在2020年08月10日提交中国专利局、申请号为202010796772.6的中国专利申请的优先权，该申请的全部内容通过引用结合在本申请中。
技术领域
本发明涉及无线通信技术领域，尤其涉及一种位置预测方法、装置、节点和存储介质。
背景技术
在现有的无线接入网(Radio Access Network，RAN)中，只支持当前终端位置的定位，并不能根据相关历史训练数据预测终端下一个时间点可能的位置。在目前的无线网络设计中，无法支持基于人工智能(Artificial Intelligence，AI)的终端在下一个时间点的位置预测，并且仅通过终端历史位置进行预测，也存在较大的预测偏差。
发明内容
本发明实施例的主要目的在于提出一种位置预测方法、装置、节点和存储介质，旨在有效提高预测UE位置的准确度。
为实现上述目的，本发明实施例提供了一种位置预测方法，该方法包括以下步骤：
服务器获取基站发送的测量报告消息；
其中，测量报告消息包括至少一个用户设备(User Equipment，UE)上报的历史位置测量信息和/或基站测量的至少一个UE的历史位置测量信息；
服务器根据测量报告消息确定至少一个UE在第一时间点或第一时间段的预测位置信息；
服务器根据预测位置信息向基站发送通知信息。
为实现上述目的，本发明实施例提供了一种位置预测方法，该方法包括以下步骤：
基站向服务器发送测量报告消息，测量报告消息包括至少一个UE上报的历史位置测量信息和/或基站测量的至少一个UE的历史位置测量信息；
基站获取服务器根据测量报告消息发送的通知信息；
基站根据通知信息进行优化操作。
为实现上述目的，本发明实施例提供了一种位置预测装置，该装置包括：
获取模块，用于获取基站发送的测量报告消息；
其中，测量报告消息包括至少一个UE上报的历史位置测量信息和/或基站测量的至少一个UE的历史位置测量信息；
确定模块，用于根据测量报告消息确定至少一个UE在第一时间点或第一时间段的预测位置信息；
发送模块，用于根据预测位置信息向基站发送通知信息。
为实现上述目的，本发明实施例提供了一种位置预测装置，该装置包括：
发送模块，用于向服务器发送测量报告消息，测量报告消息包括至少一个UE上报的历史位置测量信息和/或装置测量的至少一个UE的历史位置测量信息；
获取模块，用于获取服务器根据测量报告消息发送的通知信息；
执行模块，用于根据通知信息进行优化操作。
为实现上述目的，本发明实施例提供了一种节点，该节点包括存储器、处理器，存储在存储器上并可在处理器上运行的程序以及用于实现处理器和存储器之间的连接通信的数据总线，程序被处理器执行时实现本申请实施例提供的位置预测方法。
为实现上述目的，本发明实施例提供了一种可读写存储介质，用于计算机存储，存储介质存储有一个或者多个程序，该一个或者多个程序可被一个或者多个处理器执行，以实现本申请实施例提供的位置预测方法。
本申请实施例提供了一种位置预测方法、装置、节点和存储介质，服务器获取基站发送的测量报告消息，测量报告消息包括至少一个UE上报的历史位置测量信息和/或基站测量的至少一个UE的历史位置测量信息，服务器根据测量报告消息确定至少一个UE在第一时间点或第一时间段的预测位置信息，并根据预测位置信息向基站发送通知信息。通过引入多个维度的测量信息，可以有效提高预测UE位置的准确性。
附图说明
图1是本发明实施例提供的一种位置预测方法的流程图。
图2是本发明实施例提供的一种位置预测方法的流程图。
图3是本发明实施例提供的一种位置预测方法的流程图。
图4是本发明实施例提供的一种位置预测装置的结构示意图。
图5是本发明实施例提供的一种位置预测装置的结构示意图。
图6是本发明实施例提供的一种节点的结构示意图。
具体实施方式
为使本申请的目的、技术方案和优点更加清楚明白，下文中将结合附图对本申请的实施例进行详细说明。需要说明的是，在不冲突的情况下，本申请中的实施例及实施例中的特征可以相互任意组合。
另外，在本申请实施例中，“可选地”或者“示例性地”等词用于表示作例子、例证或说明。本申请实施例中被描述为“可选地”或者“示例性地”的任何实施例或设计方案不应被解释为比其它实施例或设计方案更优选或更具优势。确切而言，使用“可选地”或者“示例性地”等词旨在以具体方式呈现相关概念。
图1是本申请实施例提供的一种位置预测方法的流程图，该方法可以应用于AI服务器中，如图1所示，该方法可以包括以下步骤：
S101、服务器获取基站发送的测量报告消息。
可选地，该服务器可以为AI服务器，其可以为单独的网元，也可以为设置于基站内部的网元。其获取的测量报告消息可以包括至少一个UE上报的历史位置测量信息，和/或，基站测量的至少一个UE的历史位置测量信息。
S102、服务器根据测量报告消息确定至少一个UE在第一时间点或第一时间段的预测位置信息。
本步骤中的第一时间点或第一时间段可以理解为将来某个时间点或将来某个时间段，即服务器获取到至少一个UE上报的历史位置测量信息，和/或，基站测量的至少一个UE的历史位置测量信息后，基于获取的这一信息可以确定至少一个UE在将来某个时间点或多个时间点(即某个时间段)的预测位置信息。
其中，预测位置信息可以包括以下一项或者多项：预测的经纬度坐标、预测的所在小区标识、预测的海拔高度信息、预测的和某个小区的连接波束标识信息、预测的所在跟踪区域信息(tracking area，TA)。
S103、服务器根据预测位置信息向基站发送通知信息。
本实施例中的通知信息可以携带指示一个UE的预测位置信息，或者，为服务器根据预测位置信息生成的优化操作信息。这样，基站可以根据服务器发送的优化操作信息执行优化操作，或者，根据服务器发送的预测位置信息确定相关优化操作并执行。
本申请实施例提供了一种位置预测方法，服务器获取基站发送的测量报告消息，测量报告消息包括至少一个UE上报的历史位置测量信息和/或基站测量的至少一个UE的历史位置测量信息，服务器根据测量报告消息确定至少一个UE在第一时间点或第一时间段的预测位置信息，并根据预测位置信息向基站发送通知信息。通过引入多个维度的测量信息，可以有效提高预测UE位置的准确性。
在一种示例中，测量报告中包括的至少一个UE上报的历史位置测量信息可以包括速度信息，和/或，信号发射角(Angle-of-Departure，AOD)测量信息，测量报告中包括的基站测量的至少一个UE的历史位置测量信息包括信号到达角(Angle of Arrival，AOA)测量信息。通过引入速度信息、AOD测量信息这些信息，可以有效提高预测UE位置的准确度。进一步地，在UE测量速度信息、AOD测量信息的基础上，结合基站测量的UE的AOA测量信息，可以更进一步地提高预测UE位置的准确度。
示例性地，上述至少一个UE上报的历史位置测量信息还包括以下至少之一：UE标识、至少一个历史时间点、至少一个历史时间点的位置信息(例如，经纬度坐标)，其中，UE标识与至少一个历史时间点、位置信息、速度信息和/或AOD测量信息呈对应关系。基站测量的至少一个UE的历史位置测量信息还包括以下至少之一：UE标识、至少一个历史时间点，UE标识与至少一个历史时间点、AOA测量信息呈对应关系。
在一种示例中，在服务器为单独网元的情况下，上述步骤S101的实现方式可以为服务器通过其与基站之间的接口获取基站发送的测量报告；
在服务器为基站内部的网元的情况下，上述步骤S101的实现方式可以为服务器通过基站内部的接口获取基站发送的测量报告。
相应地，在服务器为单独网元的情况下，上述步骤S103的实现方式可以为服务器通过其与基站之间的接口将通知信息发送至基站；
在服务器为基站内部的网元的情况下，上述步骤S103的实现方式可以为服务器通过基站内部的接口将通知信息发送至基站的控制面。
在一种示例中，服务器确定至少一个UE在第一时间点或第一时间段的预测位置信息时，可以根据测量报告中的相关数据信息选择ML算法进行模型训练 以及模型预测，以预测出至少一个UE未来某个或多个时间点的位置。
进一步地，服务器可以根据确定的预测位置信息，生成优化操作信息，并通过RAN操作请求消息的方式将携带有优化操作信息的通知信息发送至基站，使基站根据优化操作信息执行优化操作。或者，服务器可以直接将预测位置信息携带在通知信息中发送给基站，由基站根据预测位置信息确定执行对应的优化操作。
其中，上述服务器生成的优化操作信息可以包括至少一项操作指示和至少一项操作对应的参数。
图2为本申请实施例提供的一种位置预测方法的流程图，该方法可以应用于基站中，如图2所示，该方法可以包括以下步骤：
S201、基站向服务器发送测量报告消息。
示例性地，本步骤中的测量报告消息可以包括至少一个UE上报的历史位置测量信息和/或基站测量的至少一个UE的历史位置测量信息；
上述服务器可以为AI服务器，其可以为单独的网元，也可以为设置于基站内部的网元。
S202、基站获取服务器根据测量报告消息发送的通知信息。
可选地，上述通知信息可以携带预测位置信息，或者，优化操作信息。其中，预测位置信息为服务器接收到基站发送的测量报告后，根据测量报告确定的至少一个UE在第一时间点或第一时间段的预测位置信息。例如，该预测位置信息可以包括以下一项或者多项：预测的经纬度坐标、预测的所在小区标识、预测的海拔高度信息、预测的和某个小区的连接波束标识信息、预测的所在跟踪区域信息(tracking area，TA)。
优化操作信息可以为服务器根据预测位置信息生成的信息，优化操作信息可以包括至少一项操作指示和至少一项操作对应的参数。
上述第一时间点或第一时间段可以理解为将来某个时间点或将来某个时间段，即服务器确定至少一个UE在将来某个时间点或多个时间点(即某个时间段)的预测位置信息。
S203、基站根据通知信息进行优化操作。
可选地，在通知信息携带优化操作信息的情况下，基站可以根据该通知信息直接进行优化操作；在通知信息携带预测位置信息的情况下，基站根据预测位置信息自行确定执行对应的优化操作。
示例性地，上述优化操作指示可以包括UE切换指示、关闭/打开小区指示、 无线资源激活/去激活指示、功率调整指示、无线资源管理(Radio Resource Management，RRM)参数重配置指示、分流操作指示、协议层参数重配置指示等。
进一步地，在基站执行优化操作的过程中，若优化操作涉及到至少一个UE，例如，根据预测位置信息，将对应UE切换至其他目标基站，则基站可以发送无线资源控制(Radio Resource Control，RRC)重配置消息或者RRC释放消息给连接在本基站的UE，通知其执行相关操作。
在一种示例中，至少一个UE上报的历史位置测量信息包括速度信息，和/或，信号发射角AOD测量信息，基站测量的至少一个UE的历史位置测量信息包括信号到达角AOA测量信息。
在一种示例中，在服务器为单独网元的情况下，步骤S201的实现方式可以为，基站通过其与服务器之间的接口发送测量报告；或者，在服务器为基站内部的网元的情况下，步骤S201的实现方式可以为，基站通过其内部的接口向服务器发送测量报告。
相应地，在服务器为单独网元的情况下，步骤S202的实现方式可以为，基站通过其与服务器之间的接口获取通知信息；或者，在服务器为基站内部的网元的情况下，步骤S202的实现方式可以为，基站通过其内部的接口获取通知信息。
如图3所述，在一种示例中，在执行上述步骤S201之前，本申请实施例还提供了一种实现方式包括但不限于以下步骤：
S301、基站向确定的至少一个UE发送历史位置测量控制信息。
示例性地，基站确定上述至少一个UE的方式可以包括，基站接收核心网发送的激活消息，该激活消息中携带有第一指示信息，第一指示信息用于指示策略信息，策略信息包括至少一类对象标识信息。例如，至少一个UE的标识，至少一个小区标识，至少一个公有网络PLMN标识，至少一个非公众网络标识，至少一个基站标识，至少一个跟踪区域(Tracking Area Code，TAC)标识。其中，UE的标识用于指示对哪些UE进行位置预测，TAC标识用于指示在哪些区域内对UE的位置进行预测跟踪。
基站根据至少一类对象标识信息确定至少一个UE。例如，基站根据UE的标识、小区标识等确定至少一个UE。进而，基站向确定的至少一个UE发送历史位置测量控制信息。
S302、基站接收至少一个UE根据历史位置测量控制信息上报的历史位置测量信息。
下面以具体示例对上述步骤S301和S302的实现过程做进一步详细描述，例如，在服务器为单独网元的情况下，核心网可以通过其与服务器之间的接口向服务器发送激活消息(ML Activation Message)，该激活消息中可以携带第一指示信息。进一步地，也可以携带第二指示信息和第三指示信息，其中，第二指示信息可以用于指示预测UE位置的功能是否激活，第三指示信息可以用于指示激活服务器使用机器学习(Machine Learning，ML)的功能。
可选地，上述策略信息还可以包括通信质量指标信息，该通信质量指标信息用于指示对象标识对应的对象所需要达到的通信质量。
服务器接收激活消息后，可以向基站发送ML会话建立请求消息(ML SESSION SETUP REQUEST)，该会话建立请求消息用于配置某个ML会话所需要的基站侧的测量数据。可选地，该消息中还可以包括ML会话标识、位置预测测量控制信息(例如，UE的速度信息、上行AOA测量信息、下行AOD测量信息)，以及策略信息。
可选地，基站也可以接收核心网发送的消息，例如UE文本建立请求(initial context setup request)消息，或者切换请求消息(handover request)，或者路径请求消息(Trace start)。可选地，核心网发送的消息中可以携带以下至少一项：UE是否支持、开启最小化路测(Minimization of Drive-tests，MDT)位置预测测量的指示。这样，基站可以结合策略信息与核心网发送的消息确定至少一个需要进行位置预测的UE。
进一步地，基站可以根据服务器发送的ML会话建立请求消息中的策略信息和位置预测测量控制信息，对确定的至少一个UE配置历史位置测量控制信息。例如，基站配置UE是否对速度信息和/或AOD测量信息进行测量，并通过RRC建立消息或重配置消息的形式向连接在该基站上的至少一个UE发送历史位置测量控制信息。
可选地，基站也可以配置自身是否需要对确定的至少一个UE的历史位置测量信息(例如，AOA测量信息)进行测量。
若基站侧与UE侧的测量都配置成功，则基站可以向服务器发送ML会话建立响应消息，该消息中可以携带配置成功指示；若基站侧或UE侧的测量配置失败，则ML会话建立响应消息中携带配置失败指示。可选地，基站向服务器发送的ML会话建立响应消息也可以携带ML会话标识。
在基站侧与UE侧的测量都配置成功的情况下，基站和至少一个UE可以按照配置测量相关信息。例如，基站可以测量至少一个UE的AOA测量信息，至少一个UE可以测量速度信息，和/或，AOD测量信息。
可选地，至少一个UE根据历史位置测量控制信息测量的历史位置测量信息可以携带在RRC建立消息或重配置消息的MDT测量配置信元中发送至基站，由基站将至少一个UE上报的历史位置测量信息以测量报告的形式发送至服务器。同样地，基站自身测量的至少一个UE的历史位置测量信息也可以以测量报告的形式发送至服务器。可选地，基站向服务器发送测量报告时，可以携带所属ML会话标识。
可以理解的是，在服务器为基站内部网元的情况下，核心网可以直接向基站发送激活消息，相应地，服务器与基站之间可以不用建立ML会话消息，而直接通过基站内部接口进行相关信息的交互。
图4为本申请实施例提供的一种位置预测装置结构示意图，如图4所示，该装置可以包括：获取模块401、确定模块402、发送模块403；
获取模块，用于获取基站发送的测量报告消息；
其中，测量报告消息包括至少一个UE上报的历史位置测量信息和/或基站测量的至少一个UE的历史位置测量信息；
确定模块，用于根据测量报告消息确定至少一个UE在第一时间点或第一时间段的预测位置信息；
发送模块，用于根据预测位置信息向基站发送通知信息。
示例性地，上述至少一个UE上报的历史位置测量信息可以包括速度信息，和/或，信号发射角AOD测量信息，基站测量的至少一个UE的历史位置测量信息可以包括信号到达角AOA测量信息。
在一种示例中，在服务器为单独网元的情况下，获取模块可以通过其与基站之间的接口获取基站发送的测量报告；
或者，在服务器为基站内部的网元的情况下，获取模块可以通过基站内部的接口获取基站发送的测量报告。
在一种示例中，至少一个UE上报的历史位置测量信息还可以包括以下至少之一：UE标识、至少一个历史时间点、至少一个历史时间点的位置信息，其中，UE标识与至少一个历史时间点、位置信息、速度信息和/或AOD测量信息呈对应关系；
基站测量的至少一个UE的历史位置测量信息还包括以下至少之一：UE标识、至少一个历史时间点，UE标识与至少一个历史时间点、AOA测量信息呈对应关系。
可选地，通知信息可以携带预测位置信息，或者，优化操作信息。
在一种示例中，上述装置还可以包括生成模块，生成模块用于根据预测位置信息生成优化操作信息，其中，优化操作信息包括至少一项操作指示和至少一项操作对应的参数。
在一种示例中，在服务器为单独网元的情况下，发送模块可以通过其与基站之间的接口将通知信息发送至基站；或者，在服务器为所述基站内部的网元的情况下，发送模块可以通过基站内部的接口将通知信息发送至基站的控制面。
本实施例提供的位置预测装置用于实现图1所示实施例的位置预测方法，其实现原理和技术效果类似，此处不再赘述。
图5为本申请实施例提供的一种位置预测装置结构示意图，如图5所示，该装置包括：发送模块501、获取模块502、执行模块503；
发送模块，用于向服务器发送测量报告消息，该测量报告消息包括至少一个UE上报的历史位置测量信息和/或上述装置测量的至少一个UE的历史位置测量信息；
获取模块，用于获取服务器根据测量报告消息发送的通知信息；
执行模块，用于根据通知信息进行优化操作。
可选地，上述至少一个UE上报的历史位置测量信息可以包括速度信息，和/或，信号发射角AOD测量信息，基站测量的至少一个UE的历史位置测量信息可以包括信号到达角AOA测量信息。
在一种示例中，在服务器为单独网元的情况下，发送模块可以通过其与服务器之间的接口发送测量报告；或者，在服务器为基站内部的网元的情况下，发送模块可以通过其内部的接口向服务器发送测量报告。
在一种示例中，上述装置还可以包括接收模块；
发送模块还用于向确定的至少一个UE发送历史位置测量控制信息；
接收模块，可以用于接收至少一个UE根据历史位置测量控制信息上报的历史位置测量信息。
在一种示例中，上述装置还可以包括确定模块；
接收模块用于接收核心网发送的激活消息，该激活消息中携带有第一指示信息，第一指示信息用于指示策略信息，策略信息包括至少一类对象标识信息；
确定模块，可以用于根据至少一类对象标识信息确定至少一个UE。
在一种示例中，在服务器为单独网元的情况下，获取模块可以通过其与服务器之间的接口获取通知信息；或者，在服务器为基站内部的网元的情况下， 获取模块可以通过其内部的接口获取通知信息。
示例性地，通知信息携带预测位置信息，或者，优化操作信息；
其中，预测位置信息为服务器根据测量报告确定的至少一个UE在第一时间点或第一时间段的预测位置信息，优化操作信息为服务器根据预测位置信息生成的信息，优化操作信息包括至少一项操作指示和至少一项操作对应的参数。
在一种示例中，执行模块，可以用于根据通知信息中携带的优化操作信息进行优化操作；
或者，确定模块，根据通知信息中携带的预测位置信息确定对应的优化操作，并由执行模块执行对应的优化操作。
本实施例提供的位置预测装置用于实现图2、图3所示实施例的位置预测方法，其实现原理和技术效果类似，此处不再赘述。
图6为一实施例提供的一种节点的结构示意图，如图6所示，该节点包括处理器601和存储器602；节点中处理器601的数量可以是一个或多个，图6中以一个处理器601为例；节点中的处理器601和存储器602可以通过总线或其他方式连接，图6中以通过总线连接为例。
存储器602作为一种计算机可读存储介质，可用于存储软件程序、计算机可执行程序以及模块，如本申请图1、图2、图3实施例中的位置预测方法对应的程序指令/模块(例如，位置预测装置中的发送模块501、获取模块502、执行模块503)。处理器601通过运行存储在存储器602中的软件程序、指令以及模块实现上述的位置预测方法。
存储器602可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序；存储数据区可存储根据机顶盒的使用所创建的数据等。此外，存储器602可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。
本申请实施例还提供了一种可读写存储介质，用于计算机存储，该存储介质存储有一个或者多个程序，一个或者多个程序可被一个或者多个处理器执行，以执行上述实施例中的一种位置预测方法。
本领域普通技术人员可以理解，上文中所公开方法中的全部或某些步骤、通信节点中的功能模块/单元可以被实施为软件、固件、硬件及其适当的组合。
在硬件实施方式中，在以上描述中提及的功能模块/单元之间的划分不一定对应于物理组件的划分；例如，一个物理组件可以具有多个功能，或者一个功 能或步骤可以由若干物理组件合作执行。某些物理组件或所有物理组件可以被实施为由处理器，如中央处理器、数字信号处理器或微处理器执行的软件，或者被实施为硬件，或者被实施为集成电路，如专用集成电路。这样的软件可以分布在计算机可读介质上，计算机可读介质可以包括计算机存储介质(或非暂时性介质)和通信介质(或暂时性介质)。如本领域普通技术人员公知的，术语计算机存储介质包括在用于存储信息(诸如计算机可读指令、数据结构、程序模块或其他数据)的任何方法或技术中实施的易失性和非易失性、可移除和不可移除介质。计算机存储介质包括但不限于RAM、ROM、EEPROM、闪存或其他存储器技术、CD-ROM、数字多功能盘(DVD)或其他光盘存储、磁盒、磁带、磁盘存储或其他磁存储装置、或者可以用于存储期望的信息并且可以被计算机访问的任何其他的介质。此外，本领域普通技术人员公知的是，通信介质通常包含计算机可读指令、数据结构、程序模块或者诸如载波或其他传输机制之类的调制数据信号中的其他数据，并且可包括任何信息递送介质。
以上参照附图仅说明了本申请的示例性实施例而已，并非因此局限本发明的权利范围。本领域技术人员不脱离本发明的范围和实质内所作的任何修改、等同替换和改进，均应在本发明的权利范围之内。

Claims (20)

  1. 一种位置预测方法，其特征在于，包括：
    服务器获取基站发送的测量报告消息；
    其中，所述测量报告消息包括至少一个用户设备UE上报的历史位置测量信息和/或所述基站测量的所述至少一个UE的历史位置测量信息；
    所述服务器根据所述测量报告消息确定所述至少一个UE在第一时间点或第一时间段的预测位置信息；
    所述服务器根据所述预测位置信息向所述基站发送通知信息。
  2. 根据权利要求1所述的方法，其特征在于，所述至少一个UE上报的历史位置测量信息包括速度信息，和/或，信号发射角AOD测量信息，所述基站测量的所述至少一个UE的历史位置测量信息包括信号到达角AOA测量信息。
  3. 根据权利要求1所述的方法，其特征在于，所述服务器获取基站发送的测量报告，包括：
    在所述服务器为单独网元的情况下，所述服务器通过其与基站之间的接口获取基站发送的测量报告；
    或者，在所述服务器为所述基站内部的网元的情况下，所述服务器通过基站内部的接口获取基站发送的测量报告。
  4. 根据权利要求2所述的方法，其特征在于，所述至少一个UE上报的历史位置测量信息还包括以下至少之一：
    UE标识、至少一个历史时间点、所述至少一个历史时间点的位置信息，其中，所述UE标识与所述至少一个历史时间点、所述位置信息、速度信息和/或AOD测量信息呈对应关系；
    所述基站测量的所述至少一个UE的历史位置测量信息还包括以下至少之一：
    UE标识、至少一个历史时间点，所述UE标识与所述至少一个历史时间点、AOA测量信息呈对应关系。
  5. 根据权利要求1所述的方法，其特征在于，所述通知信息携带所述预测位置信息，或者，优化操作信息。
  6. 根据权利要求5所述的方法，其特征在于，在所述通知信息携带优化操作信息的情况下，在所述服务器根据所述预测位置信息向所述基站发送通知信息之前，所述方法还包括：
    所述服务器根据所述预测位置信息生成优化操作信息。
  7. 根据权利要求6所述的方法，其特征在于，所述优化操作信息包括至少一项操作指示和至少一项操作对应的参数。
  8. 根据权利要求5-7任一项所述的方法，其特征在于，所述服务器根据所述预测位置信息向所述基站发送通知信息，包括：
    在所述服务器为单独网元的情况下，所述服务器通过其与基站之间的接口将所述通知信息发送至基站；
    或者，在所述服务器为所述基站内部的网元的情况下，所述服务器通过基站内部的接口将所述通知信息发送至基站的控制面。
  9. 一种位置预测方法，其特征在于，所述方法包括：
    基站向服务器发送测量报告消息，所述测量报告消息包括至少一个用户设备UE上报的历史位置测量信息和/或所述基站测量的所述至少一个UE的历史位置测量信息；
    所述基站获取所述服务器根据所述测量报告消息发送的通知信息；
    所述基站根据所述通知信息进行优化操作。
  10. 根据权利要求9所述的方法，其特征在于，所述至少一个UE上报的历史位置测量信息包括速度信息，和/或，信号发射角AOD测量信息，所述基站测量的所述至少一个UE的历史位置测量信息包括信号到达角AOA测量信息。
  11. 根据权利要求9所述的方法，其特征在于，所述基站向服务器发送测量报告，包括：
    在所述服务器为单独网元的情况下，所述基站通过其与服务器之间的接口发送测量报告；
    或者，在所述服务器为所述基站内部的网元的情况下，所述基站通过其内部的接口向服务器发送测量报告。
  12. 根据权利要求11所述的方法，其特征在于，在所述基站向服务器发送测量报告之前，所述方法还包括：
    所述基站向确定的至少一个UE发送历史位置测量控制信息；
    所述基站接收所述至少一个UE根据所述历史位置测量控制信息上报的历史位置测量信息。
  13. 根据权利要求11所述的方法，其特征在于，所述基站确定至少一个UE，包括：
    所述基站接收核心网发送的激活消息，所述激活消息中携带有第一指示信 息，所述第一指示信息用于指示策略信息，所述策略信息包括至少一类对象标识信息；
    所述基站根据所述至少一类对象标识信息确定至少一个UE。
  14. 根据权利要求9所述的方法，其特征在于，所述基站获取所述服务器根据所述测量报告消息发送的通知信息，包括：
    在所述服务器为单独网元的情况下，所述基站通过其与服务器之间的接口获取通知信息；
    或者，在所述服务器为所述基站内部的网元的情况下，所述基站通过其内部的接口获取通知信息。
  15. 根据权利要求9或14所述的方法，其特征在于，所述通知信息携带预测位置信息，或者，优化操作信息；
    其中，所述预测位置信息为所述服务器根据所述测量报告确定的所述至少一个UE在第一时间点或第一时间段的预测位置信息；
    所述优化操作信息为所述服务器根据所述预测位置信息生成的，所述优化操作信息包括至少一项操作指示和至少一项操作对应的参数。
  16. 根据权利要求15所述的方法，其特征在于，所述基站根据所述通知信息进行优化操作，包括：
    所述基站根据所述通知信息中携带的优化操作信息进行优化操作；
    或者，所述基站根据所述通知信息中携带的预测位置信息确定执行对应的优化操作。
  17. 一种位置预测装置，其特征在于，所述装置包括：
    获取模块，用于获取基站发送的测量报告消息；
    其中，所述测量报告消息包括至少一个用户设备UE上报的历史位置测量信息和/或所述基站测量的所述至少一个UE的历史位置测量信息；
    确定模块，用于根据所述测量报告消息确定所述至少一个UE在第一时间点或第一时间段的预测位置信息；
    发送模块，用于根据所述预测位置信息向所述基站发送通知信息。
  18. 一种位置预测装置，其特征在于，所述装置包括：
    发送模块，用于向服务器发送测量报告消息，所述测量报告消息包括至少一个用户设备UE上报的历史位置测量信息和/或所述装置测量的所述至少一个UE的历史位置测量信息；
    获取模块，用于获取所述服务器根据所述测量报告消息发送的通知信息；
    执行模块，用于根据所述通知信息进行优化操作。
  19. 一种节点，其特征在于，包括：存储器、处理器，存储在所述存储器上并可在所述处理器上运行的程序以及用于实现所述处理器和所述存储器之间的连接通信的数据总线，所述程序被所述处理器执行时实现如权利要求1-8任一项所述的位置预测方法，或者，如权利要求9-16任一项所述的位置预测方法。
  20. 一种可读写存储介质，用于计算机存储，其特征在于，所述存储介质存储有一个或者多个程序，所述一个或者多个程序可被一个或者多个处理器执行，以实现如权利要求1-8任一项所述的位置预测方法，或者，如权利要求9-16任一项所述的位置预测方法。
PCT/CN2021/111559 2020-08-10 2021-08-09 位置预测方法、装置、节点和存储介质 WO2022033436A1 (zh)

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Families Citing this family (5)

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Publication number Priority date Publication date Assignee Title
FR3095099B1 (fr) * 2019-04-15 2021-09-03 Continental Automotive Procédé de prédiction d’une modification des conditions d’attachement d’un terminal à un réseau cellulaire
CN111935765A (zh) * 2020-08-10 2020-11-13 中兴通讯股份有限公司 位置预测方法、装置、节点和存储介质
CN115226091A (zh) * 2021-04-16 2022-10-21 大唐移动通信设备有限公司 预测信息的获取方法、网元、装置及存储介质
WO2023044851A1 (en) * 2021-09-26 2023-03-30 Qualcomm Incorporated Ran reporting data to core network data repository
WO2024156136A1 (en) * 2023-03-24 2024-08-02 Zte Corporation Intelligent optimization for dual connectivity in wireless communication systems

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120083263A1 (en) * 2010-10-04 2012-04-05 Samsung Electronics Co. Ltd. Apparatus and method for controlling mdt measurement report in 3gpp system
CN105992252A (zh) * 2015-02-13 2016-10-05 北京三星通信技术研究有限公司 用户设备ue的ue上下文的处理方法和装置
CN107809767A (zh) * 2017-10-30 2018-03-16 努比亚技术有限公司 一种信息传输方法、移动终端、基站和计算机存储介质
CN111901827A (zh) * 2020-01-10 2020-11-06 中兴通讯股份有限公司 位置预测方法、装置、网元、基站和存储介质
CN111935740A (zh) * 2020-08-06 2020-11-13 中兴通讯股份有限公司 一种测量方法、装置、通信节点及存储介质
CN111935765A (zh) * 2020-08-10 2020-11-13 中兴通讯股份有限公司 位置预测方法、装置、节点和存储介质

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001128222A (ja) 1999-10-25 2001-05-11 Matsushita Electric Ind Co Ltd 無線移動局の位置検出方法及び装置
JP3625263B2 (ja) 1999-10-29 2005-03-02 株式会社エヌ・ティ・ティ・ドコモ 移動通信中継システム及びそのシステムにおける基地局
JP2004289226A (ja) * 2003-03-19 2004-10-14 Nec Corp 携帯情報端末及びハンドオーバー解決方法
JP2010246014A (ja) 2009-04-09 2010-10-28 Ntt Docomo Inc 移動通信システム及び移動通信方法
US8706131B2 (en) 2009-06-18 2014-04-22 Empire Technology Development Llc Device location prediction for mobile service optimization
JP2011217058A (ja) * 2010-03-31 2011-10-27 Sony Corp 通信制御装置、通信制御方法、プログラム、端末装置および無線通信システム
US10524225B1 (en) * 2016-08-08 2019-12-31 A9.Com, Inc. System and method for locating a mobile electronic device
EP3306337A1 (en) 2016-10-10 2018-04-11 Fraunhofer Gesellschaft zur Förderung der Angewand User equipment localization in a mobile communication network
KR102617035B1 (ko) 2019-01-11 2023-12-27 소니그룹주식회사 빔 정보를 이용하여 위치결정하기 위한 방법 및 디바이스

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120083263A1 (en) * 2010-10-04 2012-04-05 Samsung Electronics Co. Ltd. Apparatus and method for controlling mdt measurement report in 3gpp system
CN105992252A (zh) * 2015-02-13 2016-10-05 北京三星通信技术研究有限公司 用户设备ue的ue上下文的处理方法和装置
CN107809767A (zh) * 2017-10-30 2018-03-16 努比亚技术有限公司 一种信息传输方法、移动终端、基站和计算机存储介质
CN111901827A (zh) * 2020-01-10 2020-11-06 中兴通讯股份有限公司 位置预测方法、装置、网元、基站和存储介质
CN111935740A (zh) * 2020-08-06 2020-11-13 中兴通讯股份有限公司 一种测量方法、装置、通信节点及存储介质
CN111935765A (zh) * 2020-08-10 2020-11-13 中兴通讯股份有限公司 位置预测方法、装置、节点和存储介质

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
ZTE ET AL.: "Solution to AI based UE Trajectory Prediction", 3GPP TSG-RAN WG3#112-E R3-212029, 28 May 2021 (2021-05-28), XP052002275 *

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