CN109743742A - For the motion management method and device in eV2X system based on UE behavior prediction - Google Patents

For the motion management method and device in eV2X system based on UE behavior prediction Download PDF

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CN109743742A
CN109743742A CN201811541305.8A CN201811541305A CN109743742A CN 109743742 A CN109743742 A CN 109743742A CN 201811541305 A CN201811541305 A CN 201811541305A CN 109743742 A CN109743742 A CN 109743742A
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slice
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amf
cell
request
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CN109743742B (en
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赵新胜
崔少娜
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Southeast University
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Southeast University
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Abstract

The invention discloses a kind of for motion management method and device based on UE behavior prediction in enhanced car networking eV2X system, this method obtains the behavior model parameter of user equipment (UE) first, it reuses exponential smoothing and predicts the UE behavior model parameter obtained next time, cell more better than current service cell signal then judges whether UE behavior model Parameters variation meets slice change condition according to prediction result if it exists, AMF shifts to an earlier date selected target gNB and interacts the new slice of instantiation with network slice selection function NSSF if meeting condition, it executes and switches between gravity treatment or slice between being sliced, otherwise AMF only shifts to an earlier date selected target gNB, execute cell reselection or cell switching.The present invention can provide the mobile management in eV2X system based on UE behavior prediction and 5G network microtomy, reduce handover delay, different mobility management schemes is provided according to UE mobility and operational mode, to meet the demands such as low time delay under eV2X scene is highly reliable.

Description

For the motion management method and device in eV2X system based on UE behavior prediction
Technical field
The present invention relates to mobile communication technology fields, more particularly, to one kind for being based on UE behavior in eV2X system The motion management method and device of prediction.
Background technique
Enhancing automobile-used wireless communication technique (enhanced Vehicle to everything, eV2X) be by vehicle with The Technology of New Generation Mobile Communications that all things are connected, wherein V represents vehicle, and X represents any and vehicle interactive information object, Current X mainly includes vehicle, traffic disadvantaged group, infrastructure and network.EV2X includes the support V2X high based on LTE network The grade Enhanced Technology of business scenario and the automobile-used wireless communication of the support V2X higher level service scene based on 5G cellular network communication Technology.3GPP defines the V2X application of four seed types: vehicle-to-vehicle (Vehicle-to-Vehicle, V2V), vehicle is to infrastructure (Vehicle-to-Infrastructure, V2I), vehicle is to network (Vehicle-to-Network, V2N), and vehicle is to traffic weak tendency Group (Vehicle-to-Pedestrian, V2P).The network microtomy of 5G allows operator to provide customized network to meet User equipment (User Equipment, UE) different function demand, such as mobility, safety, data rate, reliability.
Currently, the rapid development of automobile industry expedited the emergence of it is many more stringent to parameter requests such as time delay, reliabilities EV2X business, such as automatic Pilot, long-range driving etc..However, existing mobility management scheme is still based on the opposite of UE and base station Change in location carries out cell reselection or cell switching, only guarantees the continuity of UE, is not suitable for the 5G being sliced based on network Network architecture.It is explicitly defined in addition, 3GPP not yet makes 5G mobile management.By existing mobility management scheme application In 5G, it will cause emerging eV2X class business demand to be unable to get satisfaction, providing the network slice of service, can not to match UE current Behavior, so that the service quality of high mobility UE and conversation continuity are unable to get guarantee in 5G system.In order to ensure the industry of UE The continuity of business and communication quality, 5G mobile network need to provide the mobility management scheme based on UE behavior prediction, provide Network with UE behavior is sliced and executes mobile management related signaling in advance, meets the highly reliable demand of eV2X business low time delay.
Summary of the invention
Goal of the invention: present invention aims at propose it is a kind of in eV2X system based on the mobility pipe of UE behavior prediction Method and apparatus are managed, are judged whether to need to match new slice, and performance objective gNB in advance for UE according to the UE behavior model of prediction (base station 5G) and new slice selection related signaling meets the demands such as low time delay is highly reliable of eV2X business, guarantees eV2X class UE's Network reachability and conversation continuity.
Technical solution: to achieve the above object, The technical solution adopted by the invention is as follows:
It is a kind of for the motion management method based on UE behavior prediction in eV2X system, repeat to hold in each cycle of operation The following steps of row mobile management:
(1) the behavior model parameter at UE current time is obtained;The behavior model parameter is used to characterize the mobility of UE, packet Include one of UE speed, acceleration, real time position, driving direction or a variety of;
(2) subsequent time UE behavior model parameter is predicted using exponential smoothing according to the parameter got;
(3) cell more better than serving cell signal is judged whether there is according to the measurement report that UE is uploaded, if it exists then Go to step (4), otherwise return step (1);
(4) judge whether UE is in idle mode, if being in idle mode, go to step (5), if the company of being in Mode is connect, then go to step (10);
(5) judged whether to meet slice change condition according to behavior model parameter prediction result, jump to step if meeting Suddenly (6), otherwise go to step (8);
(6) measurement report uploaded according to source gNB selectes the target gNB that signal is better than source gNB in advance, and based on strategy control The slice selection strategy that function PCF processed is provided interacts instantiation with network slice selection function NSSF and matches with UE behavior model New network slice;
(7) execute gravity treatment between being sliced: access and mobile management function to ps domain AMF and new slice establish connection, to target gNB hair Send slice between gravity treatment notify, Xiang Yuan gNB send slice between re-selection command, source gNB to UE send slice between reselection request, target GNB and new be sliced provide service for UE, and source gNB and former slice discharge resource;Return step (1);
(8) measurement report uploaded according to source gNB selectes the target gNB that signal is better than source gNB in advance;
(9) execute cell reselection: AMF sends cell attach request to target gNB, and Xiang Yuan gNB sends cell reselection notice, Source gNB sends cell re-selection request to UE, and target gNB provides service and send gravity treatment to AMF for UE completes confirmation, and source gNB is released Put resource;Return step (1);
(10) judged whether to meet slice change condition according to behavior model parameter prediction result, be jumped if meeting condition To step (11), otherwise go to step (13);
(11) measurement report uploaded according to source gNB selectes the target gNB that signal is better than source gNB in advance, and based on strategy The slice selection strategy that control function PCF is provided interacts instantiation with NSSF and is sliced with the new network that UE behavior model matches;
(12) execute and switch between being sliced: AMF allows to switch to switching request, target gNB between target gNB transmission slice, and The request is confirmed to AMF, and AMF sends session connection request to new slice, and is sliced to original and sends slice switching notice, new to be sliced Fresh cut piece session connection is established to AMF confirmation, source gNB is to switching request between UE transmission slice, between UE, target gNB and new slice Uplink and downlink data are transmitted, source gNB and former slice discharge resource;Return step (1);
(13) measurement report uploaded according to source gNB selectes the target gNB that signal is better than source gNB in advance;
(14) execute cell switching: AMF sends cell switching request to target gNB, and it is logical that Xiang Yuan gNB sends cell switching Know, target gNB allows to switch, and confirms cell switching request to AMF, source gNB sends cell switching request, UE, target gNB to UE And transmission uplink and downlink data between the network slice of the UE are serviced, source gNB discharges resource;Return step (1).
In preferred embodiments, parameter value { α (n), the α (n- got in the step (2) based on N+1 1) ..., α (n-N) }, using following rule to UE behavior model parameterIt is predicted:
Wherein, α0It is the initial value of exponential smoothing estimation, takes being averaged for the value initially got twice;Parameter value number N+1 It is related with weighting coefficient λ,α (n) is the α value that n-th is got;It is to (n+1)th measured value α (n+1) estimation;λ is weighting coefficient.
In preferred embodiments, a kind of behavior model parameter meets the change of setting if it exists in the step (5) Condition then thinks to meet slice change condition.
In preferred embodiments, change condition is sliced in the step (5) are as follows:
Wherein, vth、ath、Xth、θthRespectively represent speed threshold, the acceleration threshold, real-time position of slice change condition criterion Set thresholding, driving direction thresholding;vNSI1、aNSI1、XNSI1、θNSI1Respectively represent former network slice NSI being served1Establish connection When the UE speed, acceleration, real time position, the driving direction that measure; Respectively It represents according to UE speed, acceleration when measuring next time of preceding N+1 measurement result predictive estimation, real time position, traveling side To.
It is of the present invention a kind of for the mobile management device based on UE behavior prediction in eV2X system, it is located at access In mobile management function to ps domain AMF, it is responsible for cell reselection when UE is moved between gNB, gravity treatment, cell switching and slice between slice Between cell switch, including prediction module, decision-making module and execution module;
The prediction module, it is flat using index for according to the current of acquisition and the UE behavior model parameter at moment before The behavior model parameter of sliding method prediction subsequent time;The behavior model parameter is used to characterize the mobility of UE, including UE speed, One of acceleration, real time position, driving direction are a variety of;
The decision-making module, for judging UE operational mode, and according to pre- when needing to carry out cell switching or gravity treatment The subsequent time behavior model parameter for surveying the prediction of module judges whether UE behavior model meets slice change condition, is in UE When idle mode, otherwise gravity treatment between notifying execution module to execute slice if meeting slice change condition notifies execution module to hold Row cell reselection switches between notifying execution module to execute slice if meeting slice change condition when UE is in connection mode, Otherwise notice execution module executes cell switching;
The execution module is used to receive the notice of decision-making module, interacts corresponding signaling in advance, and execute cell reselection, cut Switch between gravity treatment, cell switching or slice between piece, with target gNB, source gNB, former network slice transmission signaling to complete mobility Management guarantees the uplink and downlink data transmission of UE, discharges resource;Wherein:
Re-selection procedure is between slice: access and mobile management function to ps domain AMF and new slice establish connection, send out to target gNB Send slice between gravity treatment notify, Xiang Yuan gNB send slice between re-selection command, source gNB to UE send slice between reselection request, target GNB and new be sliced provide service for UE, and source gNB and former slice discharge resource;
Cell re-selection procedure is: AMF sends cell attach request to target gNB, and Xiang Yuan gNB sends cell reselection notice, Source gNB sends cell re-selection request to UE, and target gNB provides service and send gravity treatment to AMF for UE completes confirmation, and source gNB is released Put resource;
Switching flow is between slice: AMF allows to switch to switching request, target gNB between target gNB transmission slice, and to AMF confirms the request, and AMF sends session connection request to new slice, and is sliced to original and sends slice switching notice, be newly sliced to Fresh cut piece session connection is established in AMF confirmation, and source gNB is passed between UE, target gNB and new slice to switching request between UE transmission slice Defeated uplink and downlink data, source gNB and former slice discharge resource;
Cell switching flow is: AMF sends cell switching request to target gNB, and Xiang Yuan gNB sends cell switching notice, Target gNB allows to switch, to AMF confirm cell switching request, source gNB to UE send cell switching request, UE, target gNB and Service the UE network slice between transmit uplink and downlink data, source gNB discharge resource.
The utility model has the advantages that the invention proposes a kind of sides for the mobile management based on UE behavior prediction in eV2X system Method and device judge whether to need to match new slice for UE according to the UE behavior model of prediction, and performance objective gNB and new in advance Slice selection related signaling.This method allows UE to make a response in time when moving between gNB, provides mobility branch for it It holds, it is ensured that the network reachability and conversation continuity of UE realizes the code-on-demand migration pipe based on UE behavior prediction of eV2X system Reason.
Detailed description of the invention
Fig. 1 is the system application scenario diagram of the embodiment of the present invention;
Fig. 2 is the System Network Architecture figure of the embodiment of the present invention;
Fig. 3 is the execution flow chart of motion management method provided in an embodiment of the present invention;
Fig. 4 is mobile management device structure provided in an embodiment of the present invention and interacts signal with other network functions Figure.
Fig. 5 is the signaling interaction diagram of motion management method embodiment one provided in an embodiment of the present invention;
Fig. 6 is the signaling interaction diagram of motion management method embodiment two provided in an embodiment of the present invention;
Fig. 7 is the signaling interaction diagram of motion management method embodiment three provided in an embodiment of the present invention;
Fig. 8 is the signaling interaction diagram of motion management method example IV provided in an embodiment of the present invention.
Specific embodiment
Present invention will be further explained below with reference to specific examples, it should be understood that these embodiments are merely to illustrate the present invention Rather than limit the scope of the invention, after the present invention has been read, those skilled in the art are to various equivalences of the invention The modification of form falls within the application range as defined in the appended claims.
Fig. 1 is eV2X application scenarios schematic diagram disclosed by the embodiments of the present invention.EV2X application scenarios are divided into four classes: V2V, V2P, V2I and V2N.UE in eV2X scene mainly has type of vehicle UE, traffic disadvantaged group type UE, roadside unit (Road Side Unit, RSU) type UE etc..UE in the present embodiment has complete mobility, comprising: type of vehicle UE and traffic weak tendency Group types UE.Wherein, traffic disadvantaged group type UE includes pedestrian UE, bicyclist UE etc..
Fig. 2 is the eV2X System Network Architecture figure disclosed by the embodiments of the present invention based on network slice, including UE, 5G be wireless Access net, data network and network slice.UE in figure has RSU type UE, type of vehicle UE and traffic disadvantaged group type UE; One or more network functions can be shared between network slice, each network slice there can also be the specific network function of slice; It is connected between UE by PC5 interface, is connected between UE and RAN by Uu interface, UE and network function AMF are handed over by N1 reference point Mutually, RAN and network function AMF passes through the interaction of N3 reference point, data network by the interaction of N2 reference point, RAN and network function UPF Pass through the interaction of N6 reference point with network function UPF.It is disclosed by the embodiments of the present invention a kind of for being cut in eV2X system based on network GNB involved in the method for the mobile management of piece corresponds to the 5G wireless access network node in eV2X system architecture, i.e., in figure NG-RAN node.
The network function used in the embodiment of the present invention mainly has access and mobile management function to ps domain AMF, network slice choosing Select function NSSF, uniform data management UDM, conversation management functional SMF and user-plane function UPF.
It is described access and mobile management function to ps domain AMF function be handle UE access control, location information transmitting, it is reachable Property management, UE mobility event notice, session management information forwarding and mobile management, signaling is transmitted under the collaboration of NSSF It is sliced to corresponding network, is responsible for the interaction with gNB, UE, NSSF, UDM, SMF, UPF in the present invention.The network slice choosing The function of selecting function NSSF is network slice selection assistance information (the Slice-Network Slice carried according to UE Selection Assistance Information, S-NSSAI) the suitable network slice of selection.The uniform data management The function of UDM is to store the user subscription information of 5G core net fixed access and mobile access, the home subscriber clothes in similar LTE It is engaged in device (Home Subscriber Server, HSS).The function of the conversation management functional SMF is processing user conversation, is responsible for Foundation, modification and the release of session, the distribution and management of UE IP address, configuration routing.The function of the user-plane function UPF It can be responsible for the routing and forwarding of data, sending to RAN node terminates label, the processing of user plane service quality, flow rate calculation And report.
As shown in figure 3, a kind of movement based on UE behavior prediction in eV2X system disclosed by the embodiments of the present invention Property management method, executes following steps within each cycle of operation:
(1) the behavior model parameter alpha (n) at UE current time is obtained;UE behavior model characterizes the mobility of UE, operator Customized network is provided according to UE mobility demand, i.e. network is sliced;The parameter alpha for portraying UE behavior model has: the speed v of UE, adding Speed a, real time position X, driving direction θ etc., these parameters can be acquired by UE using GPS positioning module.
(2) AMF utilizes [rule 1] to UE behavior model according to the parameter { α (n), α (n-1) ..., α (n-N) } got ParameterIt is predicted;
Wherein, α0It is the initial value of exponential smoothing estimation, takes being averaged for the value initially got twice, utilizes [rule 2] really It is fixed:
Parameter value number N+1 is related with weighting coefficient λ, and [rule 3] is utilized to determine:
(3) AMF judges whether there is cell more better than serving cell signal according to the measurement report that UE is uploaded, if it exists Then go to step (4), otherwise return step (1);
(4) judge whether UE is in idle mode, if UE is in idle mode, jump to (5), if UE is in company Mode is connect, then jumps to (10);
(5) UE is in idle mode: AMF judges prediction result according to [rule 4]Whether satisfaction slice changes item Part jumps to (6) if meeting condition, otherwise jumps to (8);
Wherein, vth、ath、Xth、θthRespectively represent speed threshold, the acceleration threshold, real-time position of slice change condition criterion Set thresholding, driving direction thresholding;vNSI1、aNSI1、XNSI1、θNSI1Respectively represent former network slice NSI being served1Establish connection When the UE speed, acceleration, real time position, the driving direction that measure; Generation respectively Table is according to UE speed, acceleration when measuring next time of preceding N+1 measurement result predictive estimation, real time position, driving direction.
(6) measurement report that AMF is uploaded according to source gNB selectes the target gNB that signal is better than source gNB in advance, and is based on plan The slice selection strategy that slightly control function PCF is provided interacts the new slice NSI of instantiation with NSSF2, the behavior model of gravity treatment and UE The new network slice NSI to match2To service UE;
(7) AMF executes gravity treatment between slice: AMF and new slice NSI2Connection is established, gravity treatment between being sliced is sent to target gNB Notice, Xiang Yuan gNB send re-selection command between slice, source gNB to UE send slice between reselection request, target gNB and new slice NSI2Service, source gNB and former slice NSI are provided for UE1Discharge resource;Return step (1);
(8) measurement report that AMF is uploaded according to source gNB selectes the target gNB that signal is better than source gNB in advance;
(9) AMF executes cell reselection: AMF sends cell attach request to target gNB, and it is logical that Xiang Yuan gNB sends cell reselection Know.Source gNB sends cell re-selection request to UE, and target gNB provides service and send gravity treatment to AMF for UE completes confirmation, source gNB Discharge resource;Return step (1);
(10) UE is in connection mode: AMF judges prediction result according to [rule 4]Whether satisfaction slice changes Condition jumps to (11) if meeting condition, otherwise jumps to (13);
(11) AMF shifts to an earlier date the gNB that selected target signal is better than source gNB according to the measurement report that source gNB is uploaded, and is based on plan The slice selection strategy that slightly control function PCF is provided interacts the new slice NSI of instantiation with NSSF2
(12) AMF switches between executing slice: AMF allows to switch to switching request, target gNB between target gNB transmission slice, And the request is confirmed to AMF, AMF is sliced NSI to new2Session connection request is sent, and is sliced NSI to original1It is logical to send slice switching Know, is newly sliced NSI2Establish fresh cut piece session connection to AMF confirmation, source gNB to UE send slice between switching request, UE, target GNB and new slice NSI2Between transmit uplink and downlink data, source gNB and former slice NSI1Discharge resource;Return step (1);
(13) measurement report that AMF is uploaded according to source gNB selectes the target gNB that signal is better than source gNB in advance;
(14) AMF executes cell switching: AMF sends cell switching request to target gNB, and Xiang Yuan gNB sends cell switching Notice, target gNB allow to switch, and confirm cell switching request to AMF, source gNB sends cell switching request, UE, target to UE Uplink and downlink data are transmitted between gNB and the network slice for servicing the UE, source gNB discharges resource, return step (1).
As shown in figure 4, the embodiment of the invention also discloses a kind of mobility for based on network slice in eV2X system Managing device is located at access and mobile management function to ps domain AMF, is responsible for cell reselection when UE is moved between gNB, weight between slice Cell switches between choosing, cell switching and slice, mainly includes prediction module, decision-making module and execution module:
Prediction module is used for the preceding N+1 behavior model parameter { α (n), α (n-1) ..., α (n-N) } measured according to UE, makes Measure parameter when (n+1) T next time with exponential smoothing prediction
Decision-making module is used for when needing to carry out cell switching or gravity treatment, judges UE operational mode, and according to prediction module OutputJudge whether UE behavior model meets slice change condition, when UE is in idle mode, if meeting slice Change condition then notifies execution module to execute gravity treatment between slice, otherwise execution module is notified to execute cell reselection, is in and connects in UE When connecing mode, switches between notifying execution module to execute slice if meeting slice change condition, otherwise execution module is notified to execute Cell switching;
Execution module is used to receive the notice of decision-making module, interacts corresponding signaling in advance, and execute between cell reselection, slice Switch between gravity treatment, cell switching or slice, with target gNB, source gNB, former network slice transmission signaling to complete mobile management, The uplink and downlink data transmission for guaranteeing UE, discharges resource.
In order to be clearer to understand technical solution of the present invention, method of the invention is done using example below with reference to specific It further illustrates.In the embodiment of the present invention, the parameter for being sliced change condition and prediction technique is as shown in table 1.To guarantee the shifting Mobility management method performance is optimal, and the parameter should be set according to specific business and specific road scene or adjustment.
1 example of parameters of table
Embodiment one
The present embodiment provides moved between gNB under UE idle mode and UE behavior model parameter meet slice change condition when Slice between gravity treatment, such as bicyclist enter descending section speed be substantially improved, driver see front roadblock after turn around traveling etc. Scene, as shown in Figure 5, comprising the following steps:
Step 1: UE obtains behavior model parameter alpha (n);
Step 2: AMF is used under exponential smoothing prediction according to existing measured value { α (n), α (n-1) ..., α (n-N) } UE behavior model parameter when one-shot measurement
Wherein
Step 3: cell more better than serving cell signal is judged whether there is according to the measurement report that UE is uploaded, if depositing Then jumping to the 4th step;
Step 4: AMF is by prediction resultSubstitute into slice change condition
Expression formula known to judgement is true, condition establishment;
Step 5: AMF shifts to an earlier date selected target gNB and instantiates new slice:
1) source gNB sends measurement control to UE, and measurement report is uploaded to source gNB by UE, and source gNB again uploads measurement report AMF into the network slice for servicing the UE;
2) the network slice NSI of the UE is serviced1In AMF according to measurement report determine gravity treatment, and to NSSF send be sliced Gravity treatment initialization requests, replacement provide the network slice of service to match the behavior model of UE;
3) newly slice selects for NSSF and UDM negotiation, and for UDM to NSSF transmission slice reselection request, NSSF is real after completing negotiation Exampleization is newly sliced NSI2, slice gravity treatment initialization requests confirmation is sent to AMF;
Step 6: AMF switches between executing slice:
1) AMF allows to switch to switching request, target gNB between target gNB transmission slice, switches between AMF confirmation slice;
2) AMF and new slice NSI2Session connection is established, is sliced NSI to original1Send slice switching notice;
3) AMF sends switching notice between being sliced to target gNB, executes between being sliced to switching command between source gNB transmission slice Switching, source gNB to UE send slice between switching request;
4) UE disconnects the connection with source gNB, is linked into target gNB;
5) data that source gNB transmits buffered data to target gNB and transmitting, target gNB are loaded into the buffer number of source gNB According to later, switching is sent to AMF and completes confirmation;
6) AMF updates the position UE to UDM, and UDM confirms location updating to AMF, and cell switches between completing slice, new to be sliced NSI2In UPF to source gNB and target gNB transmission terminate label;
7) uplink and downlink data, target gNB and new slice NSI are transmitted between UE and target gNB2Between transmit uplink and downlink data, source GNB and former slice NSI1Discharge resource.
Embodiment two
The present embodiment provides moved between gNB under UE idle mode and UE behavior model parameter be unsatisfactory for slice change condition When cell reselection, such as roadside pedestrian slowly moves between base station, driver keeps scorch vehicle etc. on a highway Scene, as shown in Figure 6, comprising the following steps:
Step 1: UE obtains behavior model parameter alpha (n);
Step 2: AMF is used under exponential smoothing prediction according to existing measured value { α (n), α (n-1) ..., α (n-N) } UE behavior model parameter when one-shot measurement
Wherein
Step 3: cell more better than serving cell signal is judged whether there is according to the measurement report that UE is uploaded, if depositing Then jumping to the 4th step;
Step 4: AMF is by prediction resultSubstitute into slice change condition
It is vacation through judgment expression, condition is invalid;
Step 5: AMF shifts to an earlier date selected target gNB:
1) source gNB sends measurement control to UE, and measurement report is uploaded to source gNB by UE, and source gNB again uploads measurement report AMF into the network slice for servicing the UE;
2) according to measurement report, AMF executes cell reselection and determines, chooses target gNB according to the behavior model parameter of prediction;
Step 6: AMF executes cell reselection:
1) AMF sends attach request to target gNB, and target gNB allows to adhere to;
2) UE disconnects the connection with source gNB, is linked into target gNB;
3) UE access target gNB, target gNB provide service and send gravity treatment to AMF to UE completes confirmation, completes cell weight Choosing;
4) AMF updates UE location information to UDM, and source gNB discharges resource.
Embodiment three
The present embodiment provides moved between gNB under UE connection mode and UE behavior model parameter meet slice change condition when Slice between switch, such as driver driving vehicle from city drive into highway, passenger watch ultra high-definition video when bus it is rapid So scenes such as brake, as shown in fig. 7, comprises following steps:
Step 1: UE obtains behavior model parameter alpha (n);
Step 2: AMF is used under exponential smoothing prediction according to existing measured value { α (n), α (n-1) ..., α (n-N) } UE behavior model parameter when one-shot measurement
Wherein
Step 3: cell more better than serving cell signal is judged whether there is according to the measurement report that UE is uploaded, if depositing Then jumping to the 4th step;
Step 4: AMF is by prediction resultSubstitute into slice change condition
Through Judgment expression is true, condition establishment;
Step 5: AMF shifts to an earlier date selected target gNB and instantiates new slice:
1) source gNB sends measurement control to UE, and measurement report is uploaded to source gNB by UE, and source gNB again uploads measurement report AMF into the network slice for servicing the UE;
2) AMF determines to switch according to measurement report, and sends the request of session switching initialization, more switching network slice to NSSF To match the behavior model and business demand of UE;
3) newly slice selects for NSSF and UDM negotiation, and for UDM to NSSF transmission slice switching request, NSSF is real after completing negotiation Exampleization is newly sliced NSI2, and slice switching request is confirmed to UDM;
Step 6: AMF switches between executing slice:
1) AMF allows to switch to switching request, target gNB between target gNB transmission slice, switches between AMF confirmation slice;
2) AMF and new slice NSI2Session connection is established, is sliced NSI to original1Send slice switching notice;
3) AMF sends switching notice between being sliced to target gNB, executes between being sliced to switching command between source gNB transmission slice Switching, source gNB to UE send slice between switching request;
4) UE disconnects the connection with source gNB, is linked into target gNB;
5) data that source gNB transmits buffered data to target gNB and transmitting, target gNB are loaded into the buffer number of source gNB According to later, switching is sent to AMF and completes confirmation;
6) AMF updates the position UE to UDM, and UDM confirms location updating to AMF, and cell switches between completing slice, new to be sliced NSI2In UPF to source gNB and target gNB transmission terminate label;
7) uplink and downlink data, target gNB and new slice NSI are transmitted between UE and target gNB2Between transmit uplink and downlink data, source GNB and former slice NSI1Discharge resource.
Example IV
The present embodiment provides UE moved between gNB and UE behavior model parameter be unsatisfactory for slice change condition when mobility Management method cell switching, such as play mobile phone pedestrian at a slow speed on pavement walking, student while listening song along one Direction such as is at the uniform velocity taken exercise by running at the scenes, as shown in Figure 8, comprising the following steps:
Step 1: UE obtains behavior model parameter alpha (n);
Step 2: AMF is used under exponential smoothing prediction according to existing measured value { α (n), α (n-1) ..., α (n-N) } UE behavior model parameter when one-shot measurement
Wherein
Step 3: cell more better than serving cell signal is judged whether there is according to the measurement report that UE is uploaded, if depositing Then jumping to the 4th step;
Step 4: AMF is by prediction resultSubstitute into slice change condition
It is vacation through judgment expression, condition is invalid;
Step 5: AMF shifts to an earlier date selected target gNB:
1) source gNB sends measurement control to UE, and measurement report is uploaded to source gNB by UE, and source gNB again uploads measurement report AMF into the network slice for servicing the UE;
2) according to measurement report, AMF executes cell switching and determines, chooses target gNB according to the behavior model parameter of prediction;
Step 6: AMF executes cell switching:
1) AMF sends cell switching request to target gNB, and target gNB allows to switch and ask to AMF confirmation cell switching It asks, AMF sends cell switching notice to source gNB, and source gNB sends cell switching request to UE;
2) UE disconnects the connection with source gNB, is linked into target gNB;
3) data that source gNB transmits buffered data to target gNB and transmitting, target gNB are loaded into the buffer number of source gNB Switching, which is sent, to AMF it after completes confirmation;
4) AMF sends PDU session updates context request to SMF, and SMF sends session modification request to UPF, and UPF is responded Session modification request, after the completion of cell switching, UPF terminates label to source gNB and target gNB transmission;
5) between UE and target gNB transmit uplink and downlink data, target gNB and service the UE network slice in UPF between pass Defeated uplink and downlink data, SMF respond the PDU that AMF is sent and update context request, and source gNB discharges resource.

Claims (5)

1. a kind of for the motion management method based on UE behavior prediction in eV2X system, which is characterized in that in each operation The following steps of mobile management are repeated in period:
(1) the behavior model parameter at UE current time is obtained;The behavior model parameter is used to characterize the mobility of UE, including UE One of speed, acceleration, real time position, driving direction are a variety of;
(2) subsequent time UE behavior model parameter is predicted using exponential smoothing according to the parameter got;
(3) cell more better than serving cell signal is judged whether there is according to the measurement report that UE is uploaded, then jumped if it exists To step (4), otherwise return step (1);
(4) judge whether UE is in idle mode, if being in idle mode, go to step (5), if being in connection mould Formula, then go to step (10);
(5) judged whether to meet slice change condition according to behavior model parameter prediction result, be gone to step if meeting (6), otherwise go to step (8);
(6) measurement report uploaded according to source gNB selectes the target gNB that signal is better than source gNB in advance, and is based on policy control function Can PCF the slice selection strategy and the network that provide be sliced selection function NSSF interact instantiate match with UE behavior model it is new Network slice;
(7) execute gravity treatment between being sliced: access and mobile management function to ps domain AMF and new slice establish connection, send and cut to target gNB Between piece gravity treatment notify, Xiang Yuan gNB send slice between re-selection command, source gNB to UE send slice between reselection request, target gNB and New slice provides service for UE, and source gNB and former slice discharge resource;Return step (1);
(8) measurement report uploaded according to source gNB selectes the target gNB that signal is better than source gNB in advance;
(9) execute cell reselection: AMF sends cell attach request to target gNB, and Xiang Yuan gNB sends cell reselection notice, source GNB sends cell re-selection request to UE, and target gNB provides service and send gravity treatment to AMF for UE completes confirmation, source gNB release Resource;Return step (1);
(10) judged whether to meet slice change condition according to behavior model parameter prediction result, step is jumped to if meeting condition Suddenly (11), otherwise go to step (13);
(11) measurement report uploaded according to source gNB selectes the target gNB that signal is better than source gNB in advance, and is based on policy control The slice selection strategy that function PCF is provided interacts instantiation with NSSF and is sliced with the new network that UE behavior model matches;
(12) execute and switch between slice: AMF to target gNB send slice between switching request, target gNB allows to switch, and to AMF Confirm the request, AMF sends session connection request to new slice, and is sliced to original and sends slice switching notice, is newly sliced to AMF Fresh cut piece session connection is established in confirmation, and source gNB is to switching request between UE transmission slice, between UE, target gNB and new slice in transmission Downlink data, source gNB and former slice discharge resource;Return step (1);
(13) measurement report uploaded according to source gNB selectes the target gNB that signal is better than source gNB in advance;
(14) execute cell switching: AMF sends cell switching request to target gNB, and Xiang Yuan gNB sends cell switching notice, mesh Mark gNB allows to switch, and confirms cell switching request to AMF, source gNB sends cell switching request, UE, target gNB kimonos to UE It is engaged in transmitting uplink and downlink data between the network slice of the UE, source gNB discharges resource;Return step (1).
2. the motion management method according to claim 1 based on UE behavior prediction, which is characterized in that the step (2) parameter value { α (n), α (n-1) ..., α (n-N) } got in based on N+1, using following rule to UE behavior model ParameterIt is predicted:
0 < λ≤1, n >=3
Wherein, α0It is the initial value of exponential smoothing estimation, takes being averaged for the value initially got twice;Parameter value number N+1 and weighting Coefficient lambda is related,α (n) is the α value that n-th is got;It is to (n+1)th measured value α (n+1) Estimation;λ is weighting coefficient.
3. the motion management method according to claim 1 based on UE behavior prediction, which is characterized in that the step (5) the change condition that a kind of behavior model parameter meets setting if it exists in then thinks to meet slice change condition.
4. the motion management method according to claim 3 based on UE behavior prediction, which is characterized in that the step (5) change condition is sliced in are as follows:
Wherein, vth、ath、Xth、θthRespectively represent speed threshold, acceleration threshold, the real time position door of slice change condition criterion Limit, driving direction thresholding;vNSI1、aNSI1、XNSI1、θNSI1Respectively represent former network slice NSI being served1Survey when establishing connection UE speed, acceleration, real time position, the driving direction of amount; It respectively represents According to UE speed, acceleration when measuring next time of preceding N+1 measurement result predictive estimation, real time position, driving direction.
5. a kind of for the mobile management device based on UE behavior prediction in eV2X system, which is characterized in that described device position In access and mobile management function to ps domain AMF, it is responsible for cell reselection when UE is moved between gNB, gravity treatment, cell switching between slice Cell switches between slice, including prediction module, decision-making module and execution module;
The prediction module, for using exponential smoothing according to the current of acquisition and the UE behavior model parameter at moment before Predict the behavior model parameter of subsequent time;The behavior model parameter is used to characterize the mobility of UE, including UE speed, acceleration One of degree, real time position, driving direction are a variety of;
The decision-making module, for when needing to carry out cell switching or gravity treatment, judging UE operational mode, and according to prediction mould The subsequent time behavior model parameter of the prediction of block judges whether UE behavior model meets slice change condition, is in the free time in UE When mode, otherwise it is small to notify that execution module executes for gravity treatment between notifying execution module to execute slice if meeting slice change condition Area's gravity treatment switches, otherwise when UE is in connection mode between notifying execution module to execute slice if meeting slice change condition Execution module is notified to execute cell switching;
The execution module is used to receive the notice of decision-making module, interacts corresponding signaling in advance, and execute between cell reselection, slice Switch between gravity treatment, cell switching or slice, with target gNB, source gNB, former network slice transmission signaling to complete mobile management, The uplink and downlink data transmission for guaranteeing UE, discharges resource;Wherein:
Re-selection procedure is between slice: access and mobile management function to ps domain AMF and new slice establish connection, cut to target gNB transmission Between piece gravity treatment notify, Xiang Yuan gNB send slice between re-selection command, source gNB to UE send slice between reselection request, target gNB and New slice provides service for UE, and source gNB and former slice discharge resource;
Cell re-selection procedure is: AMF sends cell attach request to target gNB, and Xiang Yuan gNB sends cell reselection notice, source gNB Cell re-selection request is sent to UE, target gNB provides service and send gravity treatment to AMF for UE completes confirmation, source gNB release money Source;
Switching flow is between slice: AMF allows to switch to switching request, target gNB between target gNB transmission slice, and true to AMF Recognize the request, AMF sends session connection request to new slice, and is sliced to original and sends slice switching notice, is newly sliced true to AMF Vertical fresh cut piece session connection is built, source gNB is to switching request between UE transmission slice, between UE, target gNB and new slice above and below transmission Row data, source gNB and former slice discharge resource;
Cell switching flow is: AMF sends cell switching request to target gNB, and Xiang Yuan gNB sends cell switching notice, target GNB allows to switch, and confirms cell switching request to AMF, source gNB sends cell switching request, UE, target gNB and service to UE Uplink and downlink data are transmitted between the network slice of the UE, source gNB discharges resource.
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