WO2012152162A1 - Procédé d'estimation d'état de mobilité, équipement utilisateur et station de base - Google Patents

Procédé d'estimation d'état de mobilité, équipement utilisateur et station de base Download PDF

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Publication number
WO2012152162A1
WO2012152162A1 PCT/CN2012/073677 CN2012073677W WO2012152162A1 WO 2012152162 A1 WO2012152162 A1 WO 2012152162A1 CN 2012073677 W CN2012073677 W CN 2012073677W WO 2012152162 A1 WO2012152162 A1 WO 2012152162A1
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WIPO (PCT)
Prior art keywords
cell
counting
base station
weighting factor
mobile state
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PCT/CN2012/073677
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English (en)
Chinese (zh)
Inventor
黄莹
陈琳
谢峰
Original Assignee
中兴通讯股份有限公司
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Publication of WO2012152162A1 publication Critical patent/WO2012152162A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/32—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data
    • H04W36/324—Reselection being triggered by specific parameters by location or mobility data, e.g. speed data by mobility data, e.g. speed data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/10—Reselecting an access point controller

Definitions

  • the present invention relates to the field of communications, and in particular to a mobile state estimation method, a user equipment, and a base station.
  • a user equipment User Equipment, UE for short
  • UE User Equipment
  • a user equipment may continuously perform cell reselection or handover for a period of time, and the UE evaluates whether to perform cell weight according to whether a certain condition is continuously satisfied for a period of time. Select or trigger a measurement event for switching.
  • a mobile state is introduced to reflect the moving speed of the UE.
  • the UE's mobile state is divided into three types: normal-mobility state, medium-mobility state, high-mobility state (high-mobility state, base station through system message (IDLE state). Or RRC-specific signaling (connected state), sending a series of parameters for determining the mobile state to the UE.
  • the UE may estimate the mobile state by counting the number of changed cell changes within a certain length of time based on the determining parameter.
  • the number of cell changes refers to the number of cell reselections (IDLE state) or the number of handovers (connected state).
  • the IDLE state UE can adjust corresponding cell reselection related parameters according to its estimated mobility state; the connected state UE can be adjusted according to its estimated mobility state.
  • the measurement event for the handover triggers the relevant parameter, and when the UE moves at a higher speed, the cell reselection or the evaluation time triggered by the measurement event for the handover can be reduced, and the cell reselection or handover completion is accelerated.
  • the existing mobile network In order to meet the needs of users, there are homogeneous networks and heterogeneous networks. In homogeneous networks, due to different geographical locations or user distribution densities, The coverage of each cell in the homogeneous network is different.
  • Heterogeneous network refers to a heterogeneous system in which low-power nodes are placed in the coverage area of the macro base station to form different nodes of the same coverage type.
  • the base station provides radio access services for the UE, and one base station can set one or more serving cells.
  • the Low Power Node includes Micro, Pico, RRH (Remote Radio Head), Relay Wo P Femto (nanocell base station, also known as home base station), etc. It can be seen that the biggest feature of heterogeneous networks is that the coverage size of each cell in a heterogeneous network is very different.
  • the nodes Under heterogeneous networks, various types of low power The nodes are deployed at the same time, and the coverage sizes of the cells are very different. Because in the prior art, the UE only considers the number of cell changes experienced to perform mobile state estimation, without considering Considering the cell size and network deployment conditions experienced, it may cause the UE moving at a constant speed to detect different mobile states due to different cell sizes experienced on the mobile path, that is, the UE cannot accurately perform mobile state estimation, and cannot Very well adapted to changes in current wireless channel conditions. Specifically, in a femto/pico cell deployment dense network environment, mobile UEs will undergo more frequent cell reselection or handover.
  • a mobile state estimation method including: receiving, by a UE, a counting weight factor corresponding to a cell change sent by a base station, where the cell change includes: cell reselection or cell handover, and the counting weight The factor is used to identify a value corresponding to the cell change in the process of determining the number of cell changes in the mobile state estimation.
  • the performing, by the UE, the mobile state estimation of the UE by using the counting weighting factor comprises: adding, by the UE, a counting weighting factor corresponding to the cell change received during the mobile time in the predetermined time period to obtain a cell change number; The number of times is estimated for the movement state.
  • the receiving, by the UE, the counting weighting factor corresponding to the cell change sent by the base station the UE receiving the base station sends the counting weight factor to the UE by using a system broadcast message, and the UE receiving the base station by using a radio resource control (RRC) Proprietary signaling sends the count weighting factor to the UE.
  • RRC radio resource control
  • a mobile state estimation method including: a base station acquiring a count weight factor corresponding to a cell change, where the cell change includes: a cell reselection or a cell handover, where the counting weight factor is used And determining, by the base station, the counting weighting factor to the UE.
  • the base station acquires the counting weighting factor corresponding to the cell change, where the base station sets a counting weighting factor corresponding to the cell change; the base station acquires, by the network management unit, the cell that is set by the network management unit by using an operation and maintenance management (OAM) mode.
  • OAM operation and maintenance management
  • the base station sends a counting weighting factor corresponding to the cell change to the UE, where the base station sends the counting weighting factor to the UE by using a system broadcast message; the base station uses a radio resource control (RRC) dedicated signaling to the station
  • the UE transmits the counting weight factor.
  • the counting weighting factor is a real number greater than or equal to 0 and less than or equal to 1.
  • the counting weighting factor corresponding to the cell change is set according to the coverage of the cell.
  • the calculated weighting factor of the cell change is set to zero.
  • the base station comprises one of the following: a macro base station, a home base station, a pico base station, a micro base station, and a relay node.
  • a user equipment including: a first receiving module, configured to receive a counting weight factor corresponding to a cell change sent by a base station, where the cell change includes: cell reselection or cell switching The counting weighting factor is used to identify a value corresponding to the cell change in the process of determining the number of cell changes in the mobile state estimation; the first processing module is configured to use the counting weighting factor to perform the UE in which the first processing module is located Estimated mobile state.
  • the first processing module includes: an accumulating module, configured to: the UE accumulates a counting weight factor corresponding to the cell change received during a mobile time in a predetermined time period to obtain a cell change number; and the second processing module is configured to The mobile state estimation is performed using the number of cell changes.
  • the first receiving module includes: a second receiving module, configured to receive, by the base station, the counting weight factor to be sent to the UE by using a system broadcast message; and the third receiving module is configured to receive the base station to receive radio resource control The RRC dedicated signaling sends the counting weighting factor to the UE.
  • a base station including: a first acquiring module, configured to acquire a counting weight factor corresponding to a cell change, where the cell change includes: a cell reselection or a cell handover, where the counting The weighting factor is used to identify the value corresponding to the cell change in the process of determining the number of cell changes in the mobile state estimation; the first sending module is configured to send the counting weighting factor to the UE.
  • the first obtaining module includes: a setting module, configured to set a counting weight factor corresponding to the cell change; or a first acquiring module, configured to acquire, by the network management unit, the network management unit to be set by an network operation maintenance management (OAM) mode
  • the cell weight change corresponds to the counting weight factor.
  • the first sending module includes: a second sending module, configured to send the counting weight factor to the UE by using a system broadcast message; and a third sending module, configured to control the RRC dedicated signaling by using a radio resource The UE transmits the counting weight factor.
  • the base station acquires the counting weighting factor corresponding to the serving cell in the mobile state estimation of the serving cell of the UE, and sends the counting weighting factor to the UE, so that the UE can calculate the mobile state according to the counting weighting factor of the serving cell.
  • the number of cell changes in the estimation enables the UE to calculate according to the counting weight factor of each serving cell, thereby improving the accuracy of the mobile state estimation.
  • FIG. 2 is a first flowchart of a mobile state estimation method according to an embodiment of the present invention
  • FIG. 3 is a mobile state estimation method according to an embodiment of the present invention.
  • FIG. 4 is a first structural block diagram of a mobile state estimating apparatus according to an embodiment of the present invention
  • FIG. 5 is a first structural block diagram of a preferred mobile state estimating apparatus according to an embodiment of the present invention.
  • a second structural block diagram of a mobile state estimating apparatus according to an embodiment of the present invention is a second structural block diagram of a mobile state estimating apparatus according to an embodiment of the present invention
  • FIG. 8 is a mobile state estimating method according to a preferred embodiment of the present invention.
  • FIG. 9 is a first schematic diagram of an application scenario of a UE mobile state estimation method according to an embodiment of the present invention
  • FIG. 10 is a schematic diagram 2 of an application scenario of a UE mobile state estimation method according to an embodiment of the present invention
  • FIG. 12 is a schematic diagram of an application scenario of a UE mobility state estimation method according to an embodiment of the present invention;
  • FIG. 9 is a first schematic diagram of an application scenario of a UE mobile state estimation method according to an embodiment of the present invention
  • FIG. 10 is a schematic diagram 2 of an application scenario of a UE mobile state estimation method according to an embodiment
  • FIG. 12 is a preferred implementation according to the present invention.
  • a second flowchart of a mobile state estimation method FIG. 13 is a third flowchart of a mobile state estimation method according to a preferred embodiment of the present invention.
  • FIG. 14 is a fourth flowchart of a mobile state estimation method according to a preferred embodiment of the present invention.
  • Figure 15 is a fifth flow chart of a mobile state estimation method in accordance with a preferred embodiment of the present invention.
  • Step S202 The UE receives the counting weighting factor corresponding to the cell change sent by the base station, where the cell change includes: cell reselection or cell handover, and the counting weighting factor is used to identify the cell change corresponding to the cell change number determining process in the mobile state estimation.
  • the value The UE performs the mobile state estimation of the UE by using a counting weighting factor.
  • the UE receives the counting weighting factor corresponding to the cell change sent by the base station, where the cell change includes: cell reselection or cell handover, and the counting weighting factor is used to identify the cell change in the process of determining the number of cell changes in the mobile state estimation.
  • the corresponding value enables the UE to determine the mobile state estimation according to the counting weighting factor corresponding to the cell reselection or the cell handover, and improves the accuracy of the mobile state estimation.
  • the counting weighting factor in this embodiment is a value corresponding to cell reselection or cell handover in determining the mobile state estimation, that is, in the mobile state estimation, when the UE cell reselects to the cell or cell handover.
  • step S204 may perform the mobile state estimation of the UE by using a counting weighting factor: the UE accumulates the counting weighting factor corresponding to the cell change received during the mobile in the predetermined time period to obtain the number of cell changes; The UE uses the number of cell changes to perform mobile state estimation. The method accumulates the counting weight factors corresponding to the received cell changes in a predetermined time period, and the calculation is relatively simple.
  • step S202 can obtain the counting weight factor in the following two manners. Manner 1: The UE receives the counting weighting factor that the base station sends to the UE through the system broadcast message.
  • the second method The UE receives the counting weighting factor that the base station sends to the UE by using the radio resource to control the RRC dedicated signaling. For example, for the UE in the idle state, mode 1 can be used. For the UE in the connected state, mode 1 and mode 2 can be used. Corresponding to the different states in which the UE is located, the way to obtain the message is different, and the counting weight factor is sent through the corresponding message path, so that the reliable transmission of the counting weight factor is realized.
  • This embodiment provides a mobile state estimation method.
  • FIG. 3 is a second flowchart of a mobile state estimation method according to an embodiment of the present invention. As shown in FIG. 3, the flow of the method includes the following steps S302 and S304.
  • Step S302 The base station acquires a counting weighting factor corresponding to the cell change, where the cell change includes: a cell reselection or a cell handover, where the counting weighting factor is used to identify a value corresponding to the cell change in the process of determining the number of cell changes in the mobile state estimation;
  • Step S304 The base station sends a counting weight factor to the UE.
  • the base station acquires a counting weighting factor corresponding to the cell change, where the cell change includes: a cell reselection or a cell handover, where the counting weighting factor is used to identify a cell change corresponding to the cell change number determining process in the mobile state estimation.
  • the value of the UE is such that the UE can determine the mobile state estimation calculation according to the counting weight factor corresponding to the cell reselection or the cell handover, and improve the accuracy of the mobile state estimation.
  • the counting weighting factor in this embodiment is a value corresponding to cell reselection or cell handover in determining the mobile state estimation, that is, in the mobile state estimation, when the UE cell reselects to the cell or cell handover. To the cell, the cell corresponds to the value in the mobile state estimation.
  • the base station obtains the counting weight factor corresponding to the serving cell of the user equipment UE in the following two manners: Method 1: The base station sets the counting weight factor corresponding to the cell change; or mode 2: The network management unit acquires a counting weighting factor corresponding to the cell change set by the network management unit through the network operation maintenance management OAM mode.
  • the implementation of the first method is relatively simple, and the second method is obtained from the network management unit to improve the uniformity of the system setting parameters.
  • Step S304 can adopt the following two modes: Mode 1: The base station can send a counting weighting factor to the UE by using a system broadcast message.
  • the base station may send a counting weighting factor to the UE by using a system broadcast message or Radio Resource Control (RRC) proprietary signaling.
  • RRC Radio Resource Control
  • the base station may adopt mode one; for a connected UE, the base station may adopt mode one and mode two.
  • the system may update the counting weight factor according to the needs or the network deployment environment change. After the counting weighting factor is changed, the base station may notify the UE of the updated counting weighting factor by using a method similar to the foregoing sending counting weighting factor.
  • the updated counting weighting factor can be sent to the UE in the following two manners: Mode 1: The base station sends the updated counting weighting factor through the system broadcast message. Manner 2: The base station sends the updated counting weight factor through system broadcast messages or radio resource control (RRC) proprietary signaling.
  • RRC radio resource control
  • the counting weighting factor is a real number greater than or equal to 0 and less than or equal to 1.
  • the mobile state estimation method in the related art it is generally calculated by accumulating the number of changes of the cell of the UE mobility path, that is, the weight corresponding to the number of changes of each cell is 1, for the convenience of calculation, according to The actual system setting, the counting weighting factor is set to a real number between 0 and 1, and the calculation is convenient and simple, and the different moving states corresponding to the UE in the mobile state estimation may be accumulated and determined according to the number of changes of the cell in the related art.
  • the calculated weighting factor of the cell change is set to zero if the cell change does not count toward the mobile state estimation.
  • a cell set to be used in the macro base station to share the load of the macro cell does not count the accumulated sum in the mobile state estimation, and the counting weight factor of the cell is set to zero.
  • the counting weighting factor is not 0, the counting weighting factor corresponding to the cell change is set according to the coverage of the cell.
  • the mobile state estimation in the related art only the number of cell changes of the UE mobility path is considered, and the coverage of the cell is not considered, so that the UE that may move at a constant speed is detected due to the different coverage size of the cell on the path of the mobile path.
  • the foregoing base station includes one of the following: a macro base station, a home base station, a pico base station, a micro base station, and a relay node. This embodiment describes the implementation body of the mobile state estimation method, and expands the range in which the mobile state estimation method is applicable.
  • a mobile state estimation software is provided for performing the technical solutions described in the above embodiments and preferred embodiments.
  • a storage medium is provided, and the above-described mobile state estimation software is stored in the storage medium, and the storage medium includes, but is not limited to, an optical disc, a floppy disk, a hard disk, a rewritable memory, and the like.
  • the embodiment of the present invention further provides a mobile state estimation apparatus, which may be applied to a UE, and the mobile state estimation apparatus may be used to implement the foregoing mobile state estimation method and a preferred implementation manner, which have been described, and are not described again.
  • the modules involved in the mobile state estimation module will be described below.
  • module may implement a combination of software and/or hardware of a predetermined function.
  • the systems and methods described in the following embodiments are preferably implemented in software, hardware, or a combination of software and hardware, is also possible and contemplated.
  • FIG. 4 is a first structural block diagram of a mobile state estimating apparatus according to an embodiment of the present invention. As shown in FIG. 4, the apparatus includes: a first receiving module 42 and a first processing module 44.
  • the first receiving module 42 is configured to receive a counting weighting factor corresponding to the cell change sent by the base station, where the cell change includes: a cell reselection or a cell handover, where the counting weighting factor is used to identify a cell change number determined in the mobile state estimation process.
  • the value corresponding to the change of the cell the first processing module 44 is connected to the first receiving module 42 and configured to perform the mobile state estimation of the UE where the first receiving module 42 is located, using the counting weight factor received by the first receiving module 42.
  • FIG. 5 is a first block diagram of a preferred configuration of a mobile state estimating apparatus according to an embodiment of the present invention. As shown in FIG.
  • the first receiving module 42 includes: a second receiving module 422, a third receiving module 424, and a first processing module.
  • the method includes: an accumulation module 442 and a second processing module 444.
  • the foregoing structure is described in detail.
  • the first receiving module 42 includes: a second receiving module 422, configured to receive, by the base station, a counting weighting factor to the UE by using a system broadcast message;
  • the third receiving module 424 is configured to: the receiving base station sends a counting weighting factor to the UE by using radio resource control (RRC) dedicated signaling.
  • RRC radio resource control
  • the accumulating module 44 2 is configured to accumulate the counting weight factors corresponding to the cell changes received during the mobile time in the predetermined time period to obtain the number of cell changes.
  • the second processing module 444 is connected to the accumulating module 442 and configured to use the accumulating module 442.
  • the number of changes obtained by the accumulation is used to estimate the movement state.
  • the embodiment of the present invention further provides a mobile state estimation apparatus, which may be applied to a base station, and the mobile state estimation apparatus may be used to implement the foregoing mobile state estimation method and a preferred implementation manner, which have been described, and are not described again.
  • the modules involved in the mobile state estimation module will be described below.
  • the term "module" may implement a combination of software and/or hardware of a predetermined function.
  • FIG. 6 is a second structural block diagram of a mobile state estimating apparatus according to an embodiment of the present invention.
  • the apparatus may be applied to a base station.
  • the apparatus includes: a first obtaining module 62 and a first sending module 64, below.
  • the first obtaining module 62 is configured to obtain a counting weighting factor corresponding to the cell change, where the cell change includes: a cell reselection or a cell handover, and the counting weighting factor is used to identify the cell change estimated in the mobile state.
  • the first sending module 64 is connected to the first obtaining module 62, and is configured to send the counting weight factor acquired by the first acquiring module 62 to the UE.
  • FIG. 7 is a block diagram of a preferred second structure of the mobile state estimating apparatus according to the embodiment of the present invention.
  • the first obtaining module 62 includes: a setting module 622, a second obtaining module 624; and the first sending module 64 includes The second sending module 642, the third sending module 644, the following is a detailed description of the foregoing structure:
  • the first obtaining module 62 includes: a setting module 622, configured to set a counting weight factor corresponding to the cell change; or a second obtaining module 624 And being configured to obtain, from the network management unit, a counting weight factor corresponding to the cell change set by the network management unit through the network operation maintenance management OAM mode.
  • the first sending module 64 includes: a second sending module 642, configured to send a counting weight factor to the UE by using a system broadcast message; and a third sending module 644, configured to send a counting weight to the UE by using radio resource control (RRC) dedicated signaling factor.
  • RRC radio resource control
  • the base station in step S2 includes, but is not limited to, a macro base station, a home base station (He B;), a pico base station (pico), a micro base station (micro), a relay node (relay node);
  • the counting weighting factor ranges from 0 to 1, which is superior. If the cell change does not count in the mobile state estimation, the base station sets its counting weighting factor to 0; when the counting weighting factor is not 0, The base station or the network management network element may set the counting weighting factor according to the coverage of the cell.
  • the method further includes: the base station setting the counting weight factor; or, the other network element setting the counting weighting factor, for example :
  • the counting weight factor can be set by OAM mode through the network management network element.
  • the method further includes: the UE performs cell reselection or handover to a cell under the base station.
  • step S4 sends the counting weighting factor to the UE in the following two ways: Mode 1: The base station sends a counting weight factor through the system broadcast message; the system broadcast message refers to the SIB3 or other system message. Manner 2: The base station sends a counting weight factor through an RRC dedicated signaling message; the RRC dedicated signaling refers to an RRC connection reconfiguration message.
  • step S4 may adopt the following manner: if the cell change is included in the mobile state estimation, the UE adds its counting weight factor to the cell change number; the UE performs mobile state estimation according to the cell change number. As another preferred implementation manner, if the counting weighting factor of the cell changes, the base station informs the UE of the counting weighting factor of the cell update.
  • the notification processing can be performed in the following two ways: Mode 1: The base station sends the updated counting weight factor through the system broadcast message; the system broadcast message refers to the SIB3 or other system message. Manner 2: The base station sends the updated counting weight factor through the RRC dedicated signaling message; the RRC dedicated signaling refers to the RRC connection reconfiguration message. For example, for the UE in the idle state, mode 1 can be used. For the UE in the connected state, mode 1 and mode 2 can be used.
  • the second embodiment of the present invention provides a mobile state estimation method. The present embodiment is based on the typical deployment scenario of the hetnet described in FIG. 1.
  • the low power node includes the following Class: Relay node, pico, He B, and the size of each cell, that is, the coverage range is quite different.
  • the LPN node can be deployed in the macro cell as a hotspot coverage to share the load of the macro cell. It can also be deployed in the macro cell and used as coverage enhancement to supplement the coverage area of the macro cell.
  • the macro and the pico eNB can exchange signaling through the X2 interface.
  • FIG. 8 is a first flowchart of a mobile state estimation method according to a preferred embodiment of the present invention. As shown in FIG. 8, the flow of the method includes the following steps: Step S802: The base station sets a counting weight factor, or a network management pipe element.
  • the counting weight factor is set by OAM.
  • the counting weighting factor is a real number greater than or equal to 0 and less than or equal to 1.
  • its counting weight factor is set to 0, for example: when the LPN node is deployed in the macro cell coverage as the hotspot coverage, the cell reselects or switches to the cell under the LPN node.
  • the mobile state estimation is not included; when the counting weighting factor is not 0, the counting weighting factor may be set according to the coverage of the cell.
  • Step S804 The base station sends the counting weight factor to the UE.
  • the idle (IDLE) state UE reselects from the source cell to the serving cell by cell reselection, or the connected state UE switches from the source cell to the serving cell.
  • the IDLE state UE can obtain the counting weight factor through the system broadcast message SIB3.
  • the connected state UE may obtain the counting weighting factor through the system broadcast message or the RRC proprietary signaling RRC connection reconfiguration message sent by the base station.
  • the base station does not send the counting weighting factor to the UE, the UE defaults the counting weight factor to be 1;
  • Step S806 The UE uses the counting weighting factor to accumulate the number of cell changes.
  • Step S808 The UE performs mobile state estimation according to the number of cell changes.
  • the specific criterion is as follows: If the number of cell changes is greater than NCR-H within a certain duration TCRmax, the UE determines to be a high-speed mobile state; if the number of cell changes is greater than NCR_M and less than NCR-H within a certain duration TCRmax, the UE Determined to be a medium speed moving state; If the medium speed moving state or the high speed moving state is not detected within the certain time length TCRmaxHyst, the UE determines to be the normal moving state; Step S810: The UE adjusts the relevant parameter according to the estimated moving state for performing cell reselection or switching.
  • the speed-based cell reselection adjustment parameter corresponding to the mobile state in the SIB3 is used for corresponding cell reselection, so that the UE with high mobile speed can complete the cell reselection more quickly.
  • the speed-based handover measurement event triggering adjustment parameter corresponding to the mobile state obtained in the RRC connection reconfiguration message is adjusted accordingly, and the measurement event triggering for the handover is performed, so that the UE with high mobile speed can be faster. Complete the switch.
  • Preferred Embodiment 3 This embodiment provides a method for setting and using a counting weight factor
  • FIG. 9 is a diagram according to an embodiment of the present invention.
  • FIG. 9 is a schematic diagram of an application scenario of a UE mobile state estimation method.
  • an LPN node is deployed in a coverage area of a macro cell, and the LPN node is used for hotspot coverage and shares the load of the macro cell.
  • the cell weighting factor of the cell 2 is 0, that is, the cell reselection or handover to the cell does not count the UE mobile state estimation, and the UE moves from the macro cell 1 to the LPN in the macro cell range. Cell 2 under the node.
  • FIG. 10 is a second schematic diagram of an application scenario of a method for estimating a mobile state of a UE according to an embodiment of the present invention. Under the network, the LPN node is not deployed in the coverage of the macro cell, and the LPN node is used for coverage enhancement to supplement the coverage area of the macro cell.
  • the counting weight factor of the cell 2 is a, where a is a real number greater than 0 and less than 1. That is, the cell reselection or handover to the cell is included in the UE mobility state estimation.
  • the UE moves from the macro cell 1 to the cell 2 under the LPN node. If the number of cell changes is n when the UE is in the macro cell, the number of cell changes after the UE handover or cell reselection to the cell 2 is n+a.
  • the UE then performs mobile state estimation based on the accumulated number of cell changes.
  • Preferred Embodiment 5 This embodiment provides a method for setting and using a counting weight factor. FIG.
  • FIG. 11 is a schematic diagram 3 of an application scenario of a method for estimating a mobile state of a UE according to an embodiment of the present invention.
  • the coverage of neighboring macro cells is quite different.
  • the counting weight factor of the macro cell 1 is 1
  • the counting weight factor of 2 is b, where b is a real number greater than 0 and less than 1. That is, the cell reselection or handover to the cell is included in the UE mobility state estimation.
  • the UE moves from the macro cell 1 to the adjacent macro cell 2. If the number of cell changes is n when the UE is in the macro cell 1, the number of cell changes after the UE handover or cell reselection to the macro cell 2 is n+b.
  • FIG. 12 is a second flowchart of a mobile state estimation method according to a preferred embodiment of the present invention. As shown in FIG. 10, the flow of the method includes the following steps S1202 to S1210. Step S1202: The UE reselects from the cell1 cell to the cell 2. Step S1204: After the UE camps on the cell 2, the read system message SIB3 acquires a counting weight factor, a mobile state estimation parameter, and a speed-based cell reselection adjustment parameter.
  • Step S1206 The UE accumulates the number of cell changes using the counting weight factor. If the cell 2 is different from the cell in which the UE camps before the cell1, the UE counts the cell change into the mobile state estimation, and the UE adds the counting weight factor to the cell change number.
  • Step S1208 The UE performs mobile state estimation according to the number of cell changes.
  • the specific criterion is as follows: If the number of cell changes is greater than NCR-H within a certain duration TCRmax, the UE determines to be a high-speed mobile state; if the number of cell changes is greater than NCR_M and less than NCR-H within a certain duration TCRmax, the UE It is determined that it is a medium speed moving state; if the medium speed moving state or the high speed moving state is not detected within a certain time length TCRmaxHyst, the UE determines that it is a normal moving state; Step S1210: The UE adjusts relevant parameters according to the estimated moving state for executing the cell. Reselect or switch.
  • the UE is in the IDLE state, and uses the speed-based cell reselection adjustment parameter corresponding to the mobile state in the SIB3 to perform corresponding adjustment for the cell reselection, so that the UE with high mobile speed can complete the cell reselection more quickly.
  • FIG. 13 is a third flowchart of a mobile state estimation method according to a preferred embodiment of the present invention, as shown in FIG.
  • the flow of the method includes the following steps S1302 to S1314.
  • Step S1302 The UE sends a measurement report to the source base station.
  • Step S1304 The source base station and the target base station perform a handover preparation related process, where the handover procedure may be an S1 handover or an X2 handover. If the S1 handover is performed, the MME also participates in the handover preparation related process.
  • Step S1306 The source base station sends an RRC connection reconfiguration message to the UE to instruct the UE to perform handover.
  • the message includes a counting weight factor of the target cell, a mobile state estimation parameter, and a speed-based handover measurement event trigger adjustment parameter.
  • Step S1308 After receiving the counting weight factor of the target cell, the UE collects the number of cell changes and performs mobile state estimation.
  • Step S1310 The UE, the source base station, and the target base station perform subsequent steps to complete the handover procedure.
  • Step S1312 The UE reads the system broadcast message of the target cell, and obtains a counting weight factor, a mobile state estimation parameter, and a speed-based cell reselection adjustment parameter.
  • Step S1314 The UE adjusts related parameters according to the estimated mobility state for performing cell reselection or handover.
  • the connected state UE uses the speed-based handover measurement event triggering adjustment parameter corresponding to the mobility state obtained in the RRC connection reconfiguration message to perform corresponding adjustment, and is used for triggering the measurement event triggering, so that the UE with high mobile speed can complete the handover faster. If the UE is switched from the connected state to the IDLE state, the speed-based cell reselection adjustment parameter corresponding to the mobile state in the system message is used for corresponding re-selection, so that the UE with high mobile speed can complete the cell reselection more quickly. .
  • Preferred Embodiment 8 This embodiment provides a mobile state estimation method.
  • FIG. 14 is a fourth flowchart of a mobile state estimation method according to a preferred embodiment of the present invention. As shown in FIG. 14, the method includes the following steps: Step S1402: The UE reads a source cell system broadcast message, where the message includes a source cell. Count weight factor, motion state estimation parameter, speed-based cell reselection adjustment parameter. Step S1404: The UE uses the source cell count weighting factor to count the number of cell changes, performs mobile state estimation, and uses the speed-based cell reselection adjustment parameter corresponding to the mobility state in the system message to perform corresponding adjustment for cell reselection.
  • Step S1406 The coverage size of the source cell changes, and the source base station resets its counting weight factor according to the adjusted coverage size.
  • Step S1408 The source base station sends the updated counting weight factor to the UE by using a system broadcast message.
  • Step S1410 The UE saves the update count weight factor after reading the system message, uses the updated source cell count weight factor to count the number of cell changes, re-calculates the mobile state, and uses the speed-based cell reselection adjustment parameter corresponding to the mobility state in the system message. Make corresponding adjustments for cell reselection.
  • Step S1412 The UE reselects from the source cell to the target cell.
  • Preferred Embodiment 9 This embodiment provides a mobile state estimation method.
  • FIG. 15 is a fifth embodiment of a mobile state estimating method according to a preferred embodiment of the present invention.
  • the method includes steps S1502 to S1512.
  • Step S1502 The UE receives an RRC connection reconfiguration message, where the message includes a source cell count weighting factor, a mobile state estimation parameter, and a speed-based handover measurement event trigger adjustment parameter.
  • Step S1504 The UE uses the source cell count weighting factor to count the number of cell changes, performs mobile state estimation, and adjusts the handover measurement event trigger related parameters.
  • Step S1506 The coverage size of the source cell changes, and the source base station resets its counting weight factor according to the adjusted coverage size.
  • Step S1508 The source base station sends the updated counting weight factor to the UE by using an RRC connection reconfiguration message.
  • Step S1510 After receiving the RRC connection reconfiguration message, the UE saves the update count weight factor, uses the updated source cell count weight factor to count the number of cell changes, performs mobile state estimation again, and uses the speed-based handover measurement event corresponding to the mobile state in the message. Trigger the adjustment parameters to adjust accordingly.
  • Step S1512 The UE switches from the source cell to the target cell.
  • the foregoing embodiment provides a mobile state estimation method and apparatus, which can more accurately perform mobile state estimation by comprehensively considering the number of cell changes, the size of the experienced cell, and the network deployment state when the UE is in the mobile state estimation. It is better to adapt to changes in the wireless channel environment according to the mobile state, and improve the robustness of UE mobility. It should be noted that these technical effects are not all of the above embodiments, and some technical effects are obtained by some preferred embodiments. Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general-purpose computing device, which can be concentrated on a single computing device or distributed over a network composed of multiple computing devices.
  • the invention is not limited to any specific combination of hardware and software.
  • the above is only the preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes can be made to the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

L'invention porte sur un procédé d'estimation d'état de mobilité, un équipement utilisateur et une station de base. Le procédé comprend les opérations suivantes : un équipement utilisateur (UE) reçoit un facteur de poids de comptage correspondant à une cellule de desserte de l'UE et envoyé par une station de base, le facteur de poids de comptage étant utilisé pour identifier une valeur numérique correspondant à la cellule de desserte dans un processus de détermination du nombre de changements de cellule dans une estimation d'état de mobilité, et l'UE réalise une estimation d'état de mobilité de l'UE par utilisation du facteur de poids de comptage. Par l'intermédiaire de la présente invention, la précision de l'estimation d'état de mobilité est améliorée.
PCT/CN2012/073677 2011-08-16 2012-04-09 Procédé d'estimation d'état de mobilité, équipement utilisateur et station de base WO2012152162A1 (fr)

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