CN115835125A

CN115835125A - Service processing method, device and storage medium

Info

Publication number: CN115835125A
Application number: CN202211392213.4A
Authority: CN
Inventors: 包宸曦; 王常玲; 蔡庆宇; 许灵军; 马文辉; 吕涛; 兰宇; 孙远航; 李雯雯; 赵元; 马俊杰
Original assignee: China United Network Communications Group Co Ltd; Unicom Digital Technology Co Ltd
Current assignee: China United Network Communications Group Co Ltd; Unicom Digital Technology Co Ltd
Priority date: 2022-11-08
Filing date: 2022-11-08
Publication date: 2023-03-21

Abstract

The application provides a service processing method, a service processing device and a storage medium, wherein the method comprises the following steps: a positioning management function (LMF) network element receives a position prediction request and historical track information of a user terminal sent by an access and mobility management function (AMF) network element; the location prediction request includes a target prediction time point; the LMF network element determines a position prediction result of the user terminal; the position prediction result is position information obtained by performing position prediction of the target prediction time point on the current position information of the user terminal and the historical track information of the user terminal by the LMF network element; and the current position information of the user terminal is determined by the LMF network element positioning the user terminal. The method solves the problem that the existing positioning method can only determine the current position information of the UE but cannot determine the position information of the UE at the future time point.

Description

Service processing method, device and storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a service processing method, an apparatus, and a storage medium.

Background

The 5G positioning service refers to a service that a 5G mobile network acquires geographical location information of a User Equipment (UE) by a specific positioning method, and provides the geographical location information to the UE user, or provides the geographical location information to other organizations and individuals legally requesting to obtain the terminal location information. The positioning service can be applied to the aspects of vehicle navigation, intelligent transportation, public safety and the like.

Currently, the positioning method for 5G positioning service defined by the third generation partnership project (3 GPP) mainly includes a terminal initiated positioning Request (MO-LR) positioning method and a terminal Terminated positioning Request (MT-LR) positioning method. As shown in fig. 1, a positioning system architecture of the existing positioning method includes: UE11, access network (RAN) 12, 5G core network, access location service (LCS) client 17, or Application Function (AF) network element 18. The access network (RAN) 12 may be a radio access network (NG-RAN). In the MO-LR positioning method, UE11 initiates an MO-LR positioning request to a 5G core network through RAN 12, and receives a positioning result of UE11 returned by the 5G core network. The positioning result includes the current location information of the UE11 determined after the 5G core network positions the UE 11. In the MT-LR positioning method, the UE11 accesses the LCS client 17 or the AF network element 18 through the RAN 12 and the 5G core network in advance, the LCS client 17 or the AF network element 18 initiates an MT-LR positioning request to the 5G core network instead, and the LCS client 17 or the AF network element 18 returns a positioning result to the UE11 after receiving the positioning result of the UE11 returned by the 5G core network.

The existing positioning method can only determine the current position information of the UE, but cannot determine the position information of the UE at the future time point.

Disclosure of Invention

The application provides a service processing method, a service processing device and a storage medium, which are used for solving the problem that the existing positioning method can only determine the current position information of UE but can not determine the position information of the UE at the future time point.

In a first aspect, the present application provides a service processing method, including:

a positioning management function (LMF) network element receives a position prediction request and historical track information of a user terminal sent by an access and mobility management function (AMF) network element; the location prediction request includes a target prediction time point;

the LMF network element determines a position prediction result of the user terminal; the position prediction result is position information obtained by performing position prediction of the target prediction time point on the current position information of the user terminal and the historical track information of the user terminal by the LMF network element; and the current position information of the user terminal is determined by the LMF network element positioning the user terminal.

Optionally, the determining, by the LMF network element, the location prediction result of the user terminal includes:

the LMF network element performs model prediction of the target prediction time point on the current position information of the user terminal and the historical track information of the user terminal by adopting a preset position prediction model to obtain the position information of the user terminal at the target prediction time point;

the position prediction model is obtained by training a training sample consisting of historical track information of a plurality of user terminals.

Optionally, after the LMF network element determines the location prediction result of the user terminal, the method further includes:

and the LMF network element returns a position prediction request response message containing the position prediction result to the AMF network element.

Optionally, before the LMF network element determines the location prediction result of the user terminal, the method further includes:

and the LMF network element receives a position prediction request of the user terminal sent by the AMF network element and historical track information of the user terminal sent by a network data analysis function (NWDAF) network element.

Optionally, before the LMF network element receives the historical track information of the user terminal sent by the NWDAF network element, the method further includes:

the LMF network element sends a history track request of the user terminal to the NWDAF network element; the historical track request includes an identification of the user terminal and the target prediction time point.

Optionally, before the LMF network element sends the historical trajectory request of the user terminal to the NWDAF network element, the method further includes:

and the LMF network element determines the NWDAF network element with the historical track information of the user terminal from a plurality of NWDAF network elements based on the identification of the user terminal.

In a second aspect, the present application provides a business processing system, including: accessing an AMF network element and a LMF network element;

the LMF network element receives a position prediction request and historical track information of a user terminal sent by the AMF network element; the location prediction request includes a target prediction time point;

Optionally, the service processing system further includes: a network data analysis function NWDAF network element;

before the LMF network element determines the position prediction result of the user terminal, the LMF network element receives a position prediction request of the user terminal sent by the AMF network element and historical track information of the user terminal sent by the NWDAF network element.

In a third aspect, the present application provides a location management function LMF network element, where the network element includes:

a transceiver module and a processing module;

the receiving and sending module is used for receiving a position prediction request and historical track information of the user terminal sent by an access and mobility management function (AMF) network element; the location prediction request includes a target prediction time point;

the processing module is used for determining a position prediction result of the user terminal; the position prediction result is position information obtained by performing position prediction of the target prediction time point on the current position information of the user terminal and the historical track information of the user terminal by the processing module; the current location information of the user terminal is determined by the processing module positioning the user terminal.

In a fourth aspect, the present application provides a location management function LMF network element, where the network element includes:

a processor and a memory;

the memory stores executable instructions executable by the processor;

wherein execution of the executable instructions stored by the memory by the processor causes the processor to perform the method as described above.

In a fifth aspect, the present application provides a storage medium having stored therein computer-executable instructions for implementing the method as described above when executed by a processor.

According to the service processing method, the service processing device and the storage medium, the current position information and the historical track information of the user terminal are subjected to position prediction of the target prediction time point through the LMF network element, and the position information of the user terminal at the future time point (such as the target prediction time point) is determined. The method and the device solve the problem that the existing positioning method can only determine the current position information of the UE but cannot determine the position information of the UE at the future time point.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

FIG. 1 is a diagram of a prior art positioning system architecture;

FIG. 2 is a flow chart of a conventional MO-LR positioning method;

FIG. 3 is a flow chart of a conventional MT-LR positioning method;

FIG. 4 is a diagram of a business processing system architecture provided by an embodiment of the present application;

fig. 5 is a first flowchart of a service processing method according to an embodiment of the present application;

fig. 6 is a flowchart of a service processing method according to an embodiment of the present application;

fig. 7 is a flow chart of a service processing method provided in the embodiment of the present application;

fig. 8 is a first structural diagram of an LMF network element according to an embodiment of the present application;

fig. 9 is a second structural diagram of an LMF network element according to an embodiment of the present application.

With the above figures, there are shown specific embodiments of the present application, which will be described in more detail below. These drawings and written description are not intended to limit the scope of the inventive concepts in any manner, but rather to illustrate the inventive concepts to those skilled in the art by reference to specific embodiments.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The positioning service can be widely applied to the aspects of vehicle navigation, intelligent transportation, public safety and the like. Currently, the 3GPP defined positioning service positioning methods of the international standards-making organization mainly include MO-LR positioning method and MT-LR positioning method. As shown in fig. 1, a positioning system architecture of the existing positioning method includes: UE11, access network (RAN) 12, 5G core network, access location service (LCS) client 17, or Application Function (AF) network element 18. The 5G core network includes an access and mobility management function (AMF) network element 13, a Location Management Function (LMF) network element 14, a Unified Data Management (UDM) network element 15, a location Gateway (GMLC) network element 16, and a network capability openness function (NEF) network element 19. The access network (RAN) 12 may be a radio access network (NG-RAN).

In the present application, the UE11 is a user terminal that completes network entry registration in a mobile network. The MO-LR location request may be referred to as MO-LR for short. The MT-LR location request may be referred to as MT-LR for short.

The specific flow of the MO-LR localization method is shown in fig. 2 as steps 1.1-1.13:

1.1, the UE11 initiates a location Service Request (UE Triggered Service Request) and establishes a signaling channel between the UE and the AMF network element 13.

1.2, UE11 initiates an MO-LR positioning Request (MO-LR Request) to Request the 5G core network to position the network.

For example, the UE11 sends a MO-LR positioning Request (e.g., UL NAS TRANSPORT (MO-LR Request)) to the AMF network element 13 through the RAN 12.

1.3, the AMF network element 13 selects the LMF network element 14.

For example, the AMF network element 13 may select the LMF network element 14 from the plurality of LMF network elements 14 of the core network to perform the subsequent steps.

1.4, AMF network element 13 sends positioning determination request (such as Nlmf _ Location _ Determin)

And (6) positioning.

1.5, the LMF network element 14 positions (UE Positioning) the UE11 to obtain a Positioning result.

For example, the LMF network element 14 performs one or more positioning procedures to position the UE11, and obtains a positioning result, that is, determines the current location information of the UE 11.

The positioning result includes current location information of the UE 11.

1.6, the LMF network element 14 returns the positioning result to the AMF network element 13.

The LMF network element 14 returns a positioning request Response message (such as Nlmf _ Location _ determination Location _ Response) carrying the positioning result to the AMF network element 13.

1.7, the AMF network element 13 sends the positioning result to a VGMLC network element 161 in the GMLC network element 16.

For example, the AMF element 13 sends a Location update Request (e.g., ngmlc _ Location update Request) carrying the positioning result to the VGMLC element 161.

1.8, the VGMLC network element 161 sends a Location update Request (e.g. Ngmlc _ Location update Request) carrying the positioning result to the HGMLC network element 162.

1.9a, the HGMLC network element 162 performs location update on the UE11, obtains current updated location information of the UE11, and sends the current updated location information to the LCS client 17.

For example, the HGMLC network element 162 updates the map location of the UE11 to obtain the current map location information of the UE11, and sends the current map location information to the LCS client 17.

1.10a, the LCS client 17 returns a confirmation message to the HGMLC network element 162 to receive the current updated location information.

1.11, HGMLC network element 162 returns a Location update request Response message (e.g., ngmlc _ Location update Response) to VGMLC network element 161.

The location update request response message includes the current update location information of the UE 11.

1.12, VGMLC network element 161 returns a Location update request Response message (e.g., ngmlc _ Location update Response) to AMF network element 13.

1.13, the AMF network element 13 returns MO-LR positioning request Response message (such as UL NAS TRANSPORT (MO-LR Response)) to the UE11 through the RAN 12.

The MO-LR positioning request response message includes the current updated location information of the UE 11.

Optionally, after step 1.7, the VGMLC network element 161 may perform location update on the UE11, so as to obtain current updated location information of the UE 11. For example, the VGMLC network element 161 updates the map location of the UE11, so as to obtain the current map location information of the UE 11. The VGMLC network element 161 performs step 1.12, and returns a location update request response message including the current updated location information of the UE11 to the AMF network element 13. The AMF network element 13 performs step 1.13.

Optionally, after step 1.8 and before step 1.11, the HGMLC network element 162, the NEF network element 19, and the AF network element 18 may also perform information interaction according to the following steps 1.9b-1 to 1.10 b-2.

1.9b-1, HGMLC network element 162 sends a Location update notification (e.g. Ngmlc _ Location update notification) carrying the positioning result to NEF network element 19.

1.9b-2, NEF network element 19 sends a Location update notification (such as Nnef _ Location update notification) carrying the positioning result to AF network element 18.

1.10b-1, the AF network element 18 updates the Location of the UE11 to obtain the current updated Location information of the UE11, and returns a Location update notification Response message (such as Nnef _ Location update notification Response) carrying the current updated Location information of the UE11 to the NEF network element 19.

1.10b-2, NEF network element 19 returns a Location update notification Response message (such as Ngmlc _ Location _ update notification Response) carrying the current update Location information of UE11 to HGMLC network element 162.

The specific flow of the MT-LR positioning method is shown in fig. 3 as steps 2.1-2.11:

generally, in the MT-LR positioning method, the UE11 generally accesses to the LCS client 17 or the AF network element 18 through the RAN 12 and the core network in a short message, multimedia message or WAP browsing manner, and then the LCS client 17 or the AF network element 18 initiates the MT-LR positioning request instead. The following steps 2.1-2.11 are illustrated with the LCS client 17 as the originator of the MT-LR location request.

2.1, the LCS client 17 initiates a location service request.

For example, the LCS client 17 sends an LCS location Service Request (LCS Service Request) to the GMLC network element 16 to initiate an MT-LR location Request (MT-LR Request) procedure requesting the 5G mobile network to locate the UE 11. The LCS location service request includes the identity of the UE 11.

2.2, the GMLC network element 16 sends a query Request (e.g. a numdm UECM Get Request) to the UDM network element 15 to enable authentication of the UE11 to the UDM network element 15 and to determine the identity of the AMF network element 13 serving the UE 11.

2.3, the UDM network element 15 returns an inquiry request Response message (e.g. numm UECM Get Response) to the GMLC network element 16, the inquiry request Response message containing the identity of the AMF network element 13 currently serving the UE 11.

The identity of the AMF network element 13 may be the address of the AMF network element 13.

2.4, the GMLC network element 16 sends an MT-LR location request to the AMF network element 13.

For example, the GMLC network element 16 sends an MT-LR positioning Request (e.g., namf _ Location _ provisioning Info _ Request) to the AMF network element 13 corresponding to the UE 11.

2.5, optionally, 5G mobile networks trigger the MT-LR location Service (Network Triggered Service Request).

2.6, the AMF network element 13 selects the LMF network element 14.

2.7, the AMF network element 13 sends a positioning determination Request (such as Nlmf _ Location _ detemmin Location _ Request) to the LMF network element 14 to Request the LMF network element 14 to locate the UE 11.

2.8, the LMF network element 14 locates (UE Positioning) the UE11 to obtain a Positioning result.

For example, the LMF network element 14 performs one or more positioning procedures to position the UE11, and obtains a positioning result.

The positioning result includes current location information of the UE 11.

2.9, the LMF network element 14 returns a positioning request Response message (such as Nlmf _ Location _ determination Location _ Response) carrying the positioning result to the AMF network element 13.

2.10, the AMF network element 13 returns an MT-LR positioning request Response message (such as Namf _ Location _ providepositioning info _ Response) carrying the positioning result to the GMLC network element 16.

2.11, the GMLC network element 16 returns an LCS location Service request Response message (such as LCS Service Response) carrying the location result to the LCS client 17.

Optionally, if the originating end of the MT-LR positioning request is the AF network element 18, the specific implementation and technical effect thereof are similar to those of steps 2.1-2.11.

As can be seen from the MO-LR positioning method and the MT-LR positioning method, the conventional positioning method can only determine the current location information of the UE11, but cannot determine the location information of the UE11 at a future time point.

In contrast, the application provides a service processing method, which includes that a location management function LMF network element receives a location prediction request and historical track information of a user terminal sent by an access and mobility management function AMF network element; the location prediction request includes a target prediction time point; the LMF network element determines a position prediction result of the user terminal; the position prediction result is position information obtained by predicting the position of a target prediction time point of the current position information of the user terminal and the historical track information of the user terminal by the LMF network element; the current position information of the user terminal is determined by the LMF network element positioning the user terminal. The method and the device realize the determination of the position information of the future time point (such as a target prediction time point) of the user terminal, and solve the problem that the existing positioning method can only determine the current position information of the UE but can not determine the position information of the future time point of the UE.

The service processing method provided by the present application is described below with reference to some embodiments.

Fig. 4 is an architecture diagram of a service processing system according to an embodiment of the present application. As shown in fig. 4, the system architecture includes: UE11, access network (RAN) 12, 5G core network, access location service (LCS) client 17, and/or Application Function (AF) network element 18. The 5G core network includes an access and mobility management function (AMF) network element 13, a Location Management Function (LMF) network element 14, a Unified Data Management (UDM) network element 15, a location Gateway (GMLC) network element 16, a network capability openness function (NEF) network element 19, and a network data analysis function (NWDAF) network element 21. The RAN 12 may be a radio access network (NG-RAN).

The UE11 initiates the MO-LR positioning request in the manner shown in fig. 2, or after the LCS client 17 or the AF network element 18 initiates the MT-LR positioning request in the manner shown in fig. 3, the AMF network element 13 obtains the UE11 identifier and the target prediction time point carried by the positioning request from the MO-LR positioning request or the MT-LR positioning request. The AMF network element 13 generates a location prediction request based on the identity of the UE11 and the target prediction time point, and may also generate a historical trajectory request. The location prediction request may include a history trajectory request of the UE 11. The AMF network element 13 sends a location prediction request or a history track request of the UE11 to the NWDAF network element 21. The NWDAF network element 21 returns the history track information of the UE11 to the AMF network element 13 based on the history track request. The AMF network element 13 sends the location prediction request and the history track information of the UE11 to the LMF network element 14. For example, the AMF network element 13 selects an LMF network element 14 having a location prediction function identifier from a plurality of LMF network elements 14 in the core network, and sends a location prediction request and historical trajectory information of the UE11 to the selected LMF network element 14. The LMF network element 14 performs location prediction on the target prediction time point of the UE11 as follows: the LMF network element 14 receives the location prediction request and the historical trajectory information of the User Equipment (UE) 11 sent by the AMF network element 13. The location prediction request contains a target prediction time point. The target predicted time point is a future time point. The LMF network element 14 determines a position prediction result of the user terminal (UE) 11. The position prediction result is position information obtained by the LMF network element 14 performing position prediction of a target prediction time point on the current position information of the user terminal (UE) 11 and the historical trajectory information of the user terminal (UE) 11. The current location information of the user terminal is determined by the LMF network element 14 for locating the user terminal (UE) 11. The positioning of the user terminal (UE) 11 by the LMF network element 14 may be positioning by using a positioning method shown in fig. 2 or fig. 3. After the LMF network element 14 determines the location prediction result of the user terminal (UE) 11, the LMF network element 14 returns a location prediction response message including the location prediction result to the AMF network element 13.

According to the service processing method, the LMF network element is used for predicting the position of the current position information and the historical track information of the user terminal at the target prediction time point to determine the position information of the user terminal at the future time point (such as the target prediction time point), and the problem that the current position information of the user terminal can only be determined but the position information of the user terminal at the future time point can not be determined by the existing positioning method is solved.

The service processing method provided by the present application is described in detail below with reference to fig. 5. Fig. 5 is a first flowchart of a service processing method according to an embodiment of the present application. The embodiment shown in fig. 5 is mainly implemented as the LMF network element 14 in the embodiment shown in fig. 4. As shown in fig. 5, the method comprises steps S101-S102:

s101, a Location Management Function (LMF) network element receives a location prediction request and historical track information of a user terminal sent by an access and mobility management function (AMF) network element; the location prediction request contains a target prediction time point.

Illustratively, the LMF network element 14 receives the location prediction request and the historical trajectory information of the UE11 sent by the AMF network element 13. The location prediction request contains a target prediction time point.

Optionally, the location prediction request contains one or more target prediction time points.

S102, an LMF network element determines a position prediction result of a user terminal; the position prediction result is position information obtained by predicting the position of a target prediction time point of the current position information of the user terminal and the historical track information of the user terminal by the LMF network element; the current position information of the user terminal is determined by the LMF network element positioning the user terminal.

Illustratively, LMF network element 14 determines a location prediction result for UE 11. The position prediction result is position information obtained by the LMF network element 14 performing position prediction of a target prediction time point on the current position information of the UE11 and the historical trajectory information of the UE 11. The current location information of UE11 is determined by LMF network element 14 to locate UE 11. For example, the current location information of the UE11 is determined by the LMF network element 14 positioning the UE11 according to the MO-LR positioning method shown in fig. 2 or the MT-LR positioning method shown in fig. 3.

Illustratively, the LMF network element 14 may determine the location prediction result of the UE11 as follows: the LMF network element 14 performs model prediction of a target prediction time point on the current position information of the UE11 and the historical trajectory information of the UE11 by using a preset position prediction model, to obtain position information of the UE11 at the target prediction time point. The position prediction model is trained by using a training sample composed of historical trajectory information of a plurality of UEs 11. Alternatively, the location prediction model may be a hybrid network model consisting of a Long Short Term Memory (LSTM) neural network sub-model, a convolutional neural network sub-model, and a random forest sub-model. The position prediction model may be another calculation model having a position prediction function.

Optionally, after the LMF network element 14 determines the location prediction result of the UE11, the LMF network element 14 returns a location prediction request response message containing the location prediction result to the AMF network element 13, so that the AMF network element 13 returns the location prediction result to the UE11 initiating the MO-LR, or returns the location prediction result to the AF network element 18 initiating the MT-LR or the LCS client 17.

Optionally, before the LMF network element 14 determines the position prediction result of the UE11 according to step S102, the LMF network element 14 may further receive a position prediction request of the UE11 sent by the AMF network element 13 and historical trajectory information of the UE11 sent by the NWDAF network element 21.

Optionally, before the LMF network element 14 receives the history track information of the UE11 sent by the NWDAF network element 21, the LMF network element 14 sends a history track request of the UE11 to the NWDAF network element 21. The historical track request includes an identification of the user terminal (UE) 11 and a target predicted time point.

Optionally, before the LMF network element 14 sends the history track request of the UE11 to the NWDAF network element 21, the LMF network element 14 determines, based on the identity of the UE11, an NWDAF network element 21 having history track information of the UE11 from the plurality of NWDAF network elements 21.

The service processing method provided by the present application is further described below with reference to specific examples of fig. 6 and fig. 7, respectively. Fig. 6 is a flowchart of a service processing method according to an embodiment of the present application. Fig. 7 is a flow chart of a service processing method provided in the embodiment of the present application.

As shown in fig. 6, the UE11 obtains the location information of the UE11 at the target prediction time point as follows:

s301, the AMF network element 13 receives the positioning request.

The location request may be MO-LR sent by the UE11 in a similar manner as in steps 1.1-1.2, or MT-LR sent by the LCS client 17 or the AF network element 18 in a similar manner as in steps 2.1-2.4. The location request may include (or carry) the identity and location prediction requirements of the UE11; location prediction identification may also be included.

The position prediction requirement may include a target prediction time point, a prediction accuracy requirement, a prediction position representation manner, and the like. The predicted position representation mode includes a latitude and longitude representation mode, a relative position representation mode and the like.

S302, the AMF network element 13 selects the NWDAF network element 21.

Exemplarily, the AMF network element 13 selects an NWDAF network element 21 having historical trajectory information of the UE11 from a plurality of NWDAF network elements 21 of the core network. For example, the AMF network element 13 selects an NWDAF network element 21 having historical trajectory information of the UE11 identification from the plurality of NWDAF network elements 21 based on the UE11 identification.

S303, the AMF network element 13 sends a history track request to the NWDAF network element 21.

Specifically, the AMF network element 13 sends a history track request to the NWDAF network element 21 determined in step S302. The historical trajectory request may contain the identity of the UE11, the location prediction requirements.

S304, the NWDAF network element 21 returns the history track information to the AMF network element 13.

Exemplarily, the NWDAF network element 21 returns the history track information of the UE11 to the AMF network element 13. The historical trajectory information of the UE11 returned by the NWDAF network element 21 may be the historical trajectory information of the UE11 in a preset time period before the target prediction time point. And the historical track information is represented in the same way as the predicted position in the historical track request, and the precision of the historical track information meets the prediction precision requirement in the historical track request.

S305, the AMF network element 13 selects the LMF network element 14.

Illustratively, the AMF network element 13 selects an LMF network element 14 having a location prediction function from a plurality of LMF network elements 14 of the core network.

For example, the AMF network element 13 selects one LMF network element 14 from a plurality of LMF network elements 14 marked with the location prediction function identifier of the core network.

S306, the AMF network element 13 sends the position prediction request and the history track information of the UE11 to the LMF network element 14.

The location prediction request includes the identity of the UE11 and the location prediction requirement.

S307, the LMF network element 14 locates the UE 11.

Illustratively, the LMF network element 14 locates the UE11 in a manner similar to that in step 1.5 or step 2.8, and obtains the current location information of the UE 11.

S308, the LMF network element 14 carries out position prediction on the UE11 to obtain a position prediction result.

Specifically, the LMF network element 14 performs location prediction on the UE11 as follows, and determines a location prediction result of the UE 11: the LMF network element 14 performs position prediction of the target prediction time point on the current position information and the historical trajectory information of the UE11 to obtain position information of the UE11 at the target prediction time point.

Illustratively, the LMF network element 14 performs location prediction of a target prediction time point on the current location information and the historical trajectory information of the UE11 by using a hybrid network model, so as to obtain location information of the UE11 at the target prediction time point.

S309, returning the position prediction result.

Illustratively, the LMF network element 14 returns the position prediction result to the AMF network element 13. The AMF network element 13 returns the position prediction result to the UE11 in a similar manner as in step 1.7 to step 1.13; alternatively, the AMF network element 13 returns the position prediction result to the LCS client 17 or the AF network element 18 in a similar manner as in step 2.7-step 2.11.

As shown in fig. 7, UE11 may also obtain the location information of UE11 at the target prediction time point according to the following steps S401-S409:

s401, the AMF network element 13 receives the positioning request. This step is similar to step S301, and is not described herein again.

S402, the AMF network element 13 selects the LMF network element 14. This step is similar to step S305, and is not described in detail here.

S403, the AMF network element 13 sends a location prediction request to the LMF network element 14.

The location prediction request includes the identity of the UE11, the location prediction requirements.

S404, the LMF network element 14 selects the NWDAF network element 21.

Illustratively, the LMF network element 14 selects an NWDAF network element 21 having historical trajectory information of the UE11 from a plurality of NWDAF network elements 21 of the core network. For example, the LMF network element 14 selects, based on the identity of the UE11, an NWDAF network element 21 from the plurality of NWDAF network elements 21 having historical trajectory information of the identity of the UE 11.

S405, the LMF network element 14 sends a history track request to the NWDAF network element 21.

Specifically, the LMF network element 14 sends a history track request to the NWDAF network element 21 with the history track information of the UE 11. The historical trajectory request may contain the identity of the UE11, the location prediction requirements.

S406, the NWDAF network element 21 returns the history track information of the UE11 to the LMF network element 14.

Illustratively, the NWDAF network element 21 returns the historical trajectory information of the UE11 to the LMF network element 14. The historical trajectory information of the UE11 returned by the NWDAF network element 21 may be the historical trajectory information of the UE11 in a preset time period before the target prediction time point. And the historical track information is represented in the same way as the predicted position in the historical track request, and the precision of the historical track information meets the prediction precision requirement in the historical track request.

Steps S407 to S409 are similar to steps S307 to S309, and are not described herein again.

As can be seen from the examples shown in fig. 6 and 7, the service processing method provided by the present invention realizes the location prediction of the User Equipment (UE) 11, and determines the location information of the UE11 at one or more future time points (one or more target prediction time points). The business processing method provided by the invention has important significance for the public safety field, such as personnel monitoring, search and rescue, and object monitoring, such as geological disaster early warning, animal migration and the like.

In the service processing method provided by this embodiment, location prediction of a target prediction time point is performed on current location information and historical trajectory information of a user terminal through an LMF network element to obtain location information of the user terminal at one or more target prediction time points, so that location information of the user terminal at a future time point is determined, and a problem that an existing positioning method can only determine current location information of a UE but cannot determine location information of the UE at the future time point is solved. In addition, the business processing method provided by the invention has important significance for the public safety field, such as monitoring and search and rescue of personnel, and monitoring of objects, such as geological disaster early warning, animal migration and the like.

An embodiment of the present application further provides a service processing system, as shown in fig. 4, the service processing system 20 includes: an AMF network element 13 and an LMF network element 14.

The LMF network element 14 receives the location prediction request and the historical trajectory information of the user terminal sent by the AMF network element 13. The location prediction request contains a target prediction time point.

The LMF network element 14 determines the location prediction result of the user terminal. The position prediction result is position information obtained by predicting the position of the target prediction time point of the current position information of the user terminal and the historical track information of the user terminal by the LMF network element 14. The current location information of the user terminal is determined by the LMF network element 14 for locating the user terminal.

Optionally, the service processing system further includes: an NWDAF network element 21.

Before the LMF network element 14 determines the location prediction result of the user terminal, the LMF network element 14 receives the location prediction request of the user terminal sent by the AMF network element 13 and the historical trajectory information of the user terminal sent by the NWDAF network element 21.

Illustratively, the AMF network element 13 sends a history track request of the UE11 to the NWDAF network element 21, and receives history track information returned by the NWDAF network element 21 in response to the history track request. The historical track request contains the identity of the UE11 and the target predicted time point. The identity of the UE11 and the target predicted point in time are obtained by the AMF network element 13 from the terminal originated location request MO-LR or the terminal terminated location request MT-LR. The MO-LR is sent by the UE 11. The MT-LR is sent by the application function AF network element 18 or the location services LCS client 17.

The AMF network element 13 sends a location prediction request and history track information of the UE11 to the LMF network element 14. The location prediction request contains a target prediction time point.

The LMF network element 14 determines a location prediction result of the UE11 based on the location prediction request and the historical trajectory information. The position prediction result is position information obtained by performing position prediction of a target prediction time point on current position information of the UE11 and historical trajectory information of the UE11 by the LMF network element 14. The current location information of UE11 is determined by LMF network element 14 to locate UE 11.

The LMF network element 14 returns a location prediction request response message containing the location prediction result to the AMF network element 13.

Further, the AMF network element 13 returns the location prediction result to the UE11 initiating the MO-LR, or returns the location prediction result to the AF network element 18 initiating the MT-LR or the LCS client 17. Exemplarily, the AMF network element 13 returns the position prediction result to the UE11 in a similar manner as step 1.7-step 1.13; alternatively, the AMF network element 13 returns the position prediction result to the LCS client 17 or the AF network element 18 in a similar manner as in step 2.7-step 2.11.

The implementation principle and technical effect of this embodiment are similar to those of the embodiment shown in fig. 5, and this embodiment is not described herein again.

The embodiment of the application also provides a location management function LMF network element. Fig. 8 is a first structural diagram of an LMF network element according to an embodiment of the present application. As shown in fig. 8, the LMF network element includes:

a transceiver module 41 and a processing module 42.

The transceiver module 41 is configured to receive a location prediction request and historical trajectory information of a user terminal sent by an access and mobility management function AMF network element. The location prediction request contains a target prediction time point.

And the processing module 42 is configured to determine a location prediction result of the user terminal. The position prediction result is position information obtained by the processing module performing position prediction of a target prediction time point on the current position information of the user terminal and the historical track information of the user terminal. The current position information of the user terminal is determined by the processing module positioning the user terminal.

The embodiment of the application also provides a location management function LMF network element. Fig. 9 is a second structural diagram of an LMF network element according to an embodiment of the present application. As shown in fig. 9, the LMF network element includes a processor 51 and a memory 52, where the memory 52 stores an executable instruction of the processor 51, so that the processor 51 may be configured to execute the technical solution of the foregoing method embodiment, and the implementation principle and the technical effect thereof are similar, and details of this embodiment are not described herein again. It should be understood that the Processor 51 may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor. The Memory 52 may include a high-speed Random Access Memory (RAM), a Non-volatile Memory (NVM), at least one disk Memory, a usb disk, a removable hard disk, a read-only Memory, a magnetic disk, or an optical disk.

The embodiment of the present application further provides a storage medium, where computer execution instructions are stored in the storage medium, and when the computer execution instructions are executed by the processor, the service processing method is implemented. The storage medium may be implemented by any type of volatile or non-volatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk or an optical disk. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.

Embodiments of the present application further provide a program product, such as a computer program, which when executed by a processor, implements the service processing method covered by the present application.

Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for processing a service, comprising:

2. The method of claim 1, wherein the determining, by the LMF network element, the location prediction result of the user terminal comprises:

3. The method of claim 1, wherein after the LMF network element determines the location prediction result of the user terminal, the method further comprises:

4. A method according to any of claims 1-3, wherein before the LMF network element determines the location prediction result of the user terminal, the method further comprises:

and the LMF network element receives a position prediction request of the user terminal sent by the AMF network element and historical track information of the user terminal sent by a network data analysis function NWDAF network element.

5. The method of claim 4, wherein before the LMF network element receives the historical trajectory information of the user terminal sent by a network data analysis function (NWDAF) network element, the method further comprises:

6. The method of claim 5, wherein before the LMF network element sends the historical trail request of the user terminal to the NWDAF network element, the method further comprises:

7. A transaction system, comprising: accessing an AMF network element and a LMF network element;

8. The transaction system of claim 7, further comprising: a network data analysis function NWDAF network element;

9. A location management function, LMF, network element, comprising:

a receiving and transmitting module and a processing module;

10. A location management function, LMF, network element, comprising:

a processor and a memory;

the memory stores executable instructions executable by the processor;

wherein execution of the executable instructions stored by the memory by the processor causes the processor to perform the method of any of claims 1-6.

11. A storage medium having stored therein computer executable instructions for performing the method of any one of claims 1-6 when executed by a processor.