WO2012152162A1 - 移动状态估计方法、用户设备及基站 - Google Patents
移动状态估计方法、用户设备及基站 Download PDFInfo
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- 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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- cell
- counting
- base station
- weighting factor
- mobile state
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- 238000000034 method Methods 0.000 title claims abstract description 91
- 230000008569 process Effects 0.000 claims abstract description 16
- 230000008859 change Effects 0.000 claims description 93
- 230000011664 signaling Effects 0.000 claims description 21
- 238000012545 processing Methods 0.000 claims description 14
- 238000012423 maintenance Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 description 16
- 238000005259 measurement Methods 0.000 description 12
- 230000033001 locomotion Effects 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
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Classifications
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- 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
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- 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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Abstract
本发明公开了移动状态估计方法、用户设备及基站,该方法包括:UE接收基站发送的该UE的服务小区对应的计数权重因子,其中,计数权重因子用于标识在移动状态估计的小区变化次数确定过程中服务小区所对应的数值;UE使用计数权重因子进行该UE的移动状态估计。通过本发明,提高了移动状态估计的准确性。
Description
移动状态估计方法、 用户设备及基站 技术领域 本发明涉及通信领域, 具体而言, 涉及移动状态估计方法、 用户设备及基站。 背景技术 用户设备 (User Equipment, 简称为 UE) 在移动过程中, 在一段时间内会不断发 生小区重选或切换, 而 UE是根据在一段时间内是否持续满足某特定条件来评估是否 进行小区重选或用于切换的测量事件触发。 而 UE的移动速度越快, 其所经历的无线 信道环境变化越快, 因此 UE有可能来不及触发小区重选或切换而导致服务小区的无 线信道状况急剧下降发生无线链路失败 (Radio Link Failure, 简称为 RLF) 产生掉网 或掉话现象。 为了使得移动状态的 UE更好的适应快速变化的无线环境, 引入了移动 状态用于反映 UE 的移动速度快慢。 UE 的移动状态一共分为三种: 正常移动状态 ( normal-mobility state )、 中速移云力状态 ( medium-mobility state )、 高速移云力状态 (high-mobility state 基站通过***消息 (IDLE态) 或 RRC专有信令 (连接态) 将 用于判断移动状态的一系列参数发送给 UE。 UE可基于该判断参数在一定时长内对所 经历的小区变化次数进行计数来估计其移动状态, 小区变化次数指小区重选次数 (IDLE态)或者切换次数(连接态)。 IDLE态 UE可根据其估计的移动状态调整相应 的小区重选相关参数; 连接态 UE可根据其估计的移动状态调整用于切换的测量事件 触发相关参数, 当 UE移动速度较高时能减少小区重选或用于切换的测量事件触发的 评估时间, 加快小区重选或切换完成。 在现有的移动网络中, 为了满足用户需求, 存在同构网和异构网, 在同构网络中, 由于不同地理位置或用户分布密度, 存在同构网内各小区的覆盖范围大小有差异。 异构网络 (Heterogeneous Network, 简称为 HetNet) 是指低功率节点被布放在宏 基站覆盖区域内, 形成同覆盖的不同节点类型的异构***。 通信***中, 基站为 UE 提供无线接入服务, 一个基站可以设置一个或多个服务小区。低功率节点(Low Power Node, LPN)包括 Micro, Pico, RRH (Remote Radio Head), Relay禾 P Femto (毫微蜂 窝基站, 也称为家庭基站) 等。 由此可见, 异构网络最大的特点就是异构网内各小区 覆盖范围大小差异非常大。 在异构网络下, 各种类型低功率节点的同时部署, 且小区的覆盖范围大小相差甚 异。 由于现有技术中 UE仅考虑所经历的小区变化次数来进行移动状态估计, 而不考
虑所经历的小区大小和网络部署情况, 因此可能导致以恒定速度移动的 UE由于移动 路径上所经历的小区大小不同而检测到不同的移动状态, 也即 UE不能准确的进行移 动状态估计, 不能很好的适应当前无线信道状况的变化。 具体来说, 在 femto/pico小 区布署密集的网络环境下, 移动中的 UE将发生更加频繁的小区重选或切换。 在移动网络中,采用现有技术的移动状态估计, UE可能错误地检测其自身所处的 移动状态。 发明内容 本发明的提供了一种移动状态估计方法、 用户设备及基站, 以至少解决上述现有 技术的移动状态估计, UE可能错误地检测其自身所处的移动状态的问题。 根据本发明的一方面, 提供了一种移动状态估计方法, 包括: UE接收基站发送的 小区变化对应的计数权重因子, 其中, 所述小区变化包括: 小区重选或小区切换, 所 述计数权重因子用于标识在移动状态估计的小区变化次数确定过程中所述小区变化所 对应的数值。 优选地, UE使用计数权重因子进行该 UE的移动状态估计包括: 所述 UE将预定 时间段内移动过程中接收的所述小区变化对应的计数权重因子进行累加得到小区变化 次数; UE使用小区变化次数进行移动状态估计。 优选地, UE接收基站发送的小区变化对应的计数权重因子包括: 所述 UE接收所 述基站通过***广播消息向所述 UE发送所述计数权重因子; 所述 UE接收所述基站 通过无线资源控制 (RRC) 专有信令向所述 UE发送所述计数权重因子。 根据本发明的另一个方面, 提供了一种移动状态估计方法, 包括: 基站获取小区 变化对应的计数权重因子, 其中, 所述小区变化包括: 小区重选或小区切换, 所述计 数权重因子用于标识在移动状态估计的小区变化次数确定过程中所述小区变化所对应 的数值; 基站将所述计数权重因子发送给 UE。 优选地, 基站获取小区变化对应的计数权重因子包括: 所述基站设置小区变化对 应的计数权重因子; 所述基站从网络管理单元获取该网络管理单元通过网络操作维护 管理 (OAM) 方式设置的小区变化对应的计数权重因子。 优选地, 基站向 UE发送小区变化对应的计数权重因子包括: 所述基站通过*** 广播消息向所述 UE发送所述计数权重因子; 所述基站通过无线资源控制 (RRC) 专 有信令向所述 UE发送所述计数权重因子。
优选地, 所述计数权重因子为大于等于 0且小于等于 1的实数。 优选地, 所述计数权重因子不为 0时, 根据小区的覆盖范围设置所述小区变化对 应的计数权重因子。 优选地, 如果所述小区变化不计入移动状态估计, 则所述小区变化的计算权重因 子设置为 0。 优选地, 基站包括以下之一: 宏基站、 家庭基站、 微微基站、 微基站、 中继节点。 根据本发明的另一方面, 提供了一种用户设备, 包括: 第一接收模块, 设置为接 收基站发送的小区变化对应的计数权重因子, 其中, 所述小区变化包括: 小区重选或 小区切换, 所述计数权重因子用于标识在移动状态估计的小区变化次数确定过程中所 述小区变化所对应的数值; 第一处理模块, 设置为使用计数权重因子进行所述第一处 理模块所在的 UE的移动状态估计。 优选地, 第一处理模块包括: 累加模块, 设置为所述 UE将预定时间段内移动过 程中接收的所述小区变化对应的计数权重因子进行累加得到小区变化次数; 第二处理 模块, 设置为使用小区变化次数进行移动状态估计。 优选地, 第一接收模块包括: 第二接收模块, 设置为接收所述基站通过***广播 消息向所述 UE发送所述计数权重因子; 第三接收模块, 设置为接收所述基站通过无 线资源控制 RRC专有信令向所述 UE发送所述计数权重因子。 根据本发明的再一方面, 提供了一种基站, 包括: 第一获取模块, 设置为获取小 区变化对应的计数权重因子, 其中, 所述小区变化包括: 小区重选或小区切换, 所述 计数权重因子用于标识在移动状态估计的小区变化次数确定过程中所述小区变化所对 应的数值; 第一发送模块, 设置为将计数权重因子发送给 UE。 优选地, 第一获取模块包括: 设置模块, 设置为设置小区变化对应的计数权重因 子; 或第一获取模块, 设置为从网络管理单元获取该网络管理单元通过网络操作维护 管理 (OAM) 方式设置的小区变化对应的计数权重因子。 优选地, 第一发送模块包括: 第二发送模块, 设置为通过***广播消息向所述 UE 发送所述计数权重因子; 第三发送模块, 设置为通过无线资源控制 RRC专有信令向所 述 UE发送所述计数权重因子。
通过本发明, 采用基站获取 UE的服务小区在移动状态估计中该服务小区对应的 计数权重因子, 并将该计数权重因子发送给 UE, 使得 UE可以根据该服务小区的计数 权重因子去计算移动状态估计中的小区变化次数, 使得 UE可以根据每个服务小区的 计数权重因子进行计算, 提高了移动状态估计的准确性。 附图说明 此处所说明的附图用来提供对本发明的进一步理解, 构成本申请的一部分, 本发 明的示意性实施例及其说明用于解释本发明, 并不构成对本发明的不当限定。 在附图 中: 图 1是根据相关技术的 hetnet典型部署场景示意图; 图 2是根据本发明实施例的移动状态估计方法的第一流程图; 图 3是根据本发明实施例的移动状态估计方法的第二流程图; 图 4是根据本发明实施例的移动状态估计装置的第一结构框图; 图 5是根据本发明实施例的移动状态估计装置的优选的第一结构框图; 图 6是根据本发明实施例的移动状态估计装置的第二结构框图; 图 7是根据本发明实施例的移动状态估计装置的优选的第二结构框图; 图 8是根据本发明优选实施例的移动状态估计方法的第一流程图; 图 9是根据本发明实施例的 UE移动状态估计方法的应用场景的示意图一; 图 10是根据本发明实施例的 UE移动状态估计方法的应用场景的示意图二; 图 11是根据本发明是实施例的 UE移动状态估计方法的应用场景的示意图三; 图 12是根据本发明优选实施例的移动状态估计方法的第二流程图; 图 13是根据本发明优选实施例的移动状态估计方法的第三流程图; 图 14是根据本发明优选实施例的移动状态估计方法的第四流程图; 以及 图 15是根据本发明优选实施例的移动状态估计方法的第五流程图。
具体实施方式 下文中将参考附图并结合实施例来详细说明本发明。 需要说明的是, 在不冲突的 情况下, 本申请中的实施例及实施例中的特征可以相互组合。 本实施例提供了一种移动状态估计方法, 图 2是根据本发明实施例的移动状态估 计方法的第一流程图, 该方法的流程包括如下的步骤 S202和步骤 S204。 步骤 S202: UE接收基站发送的小区变化对应的计数权重因子, 其中, 小区变化 包括: 小区重选或小区切换, 计数权重因子用于标识在移动状态估计的小区变化次数 确定过程中小区变化所对应的数值。 步骤 S204: UE使用计数权重因子进行该 UE的移动状态估计。 通过上述步骤, UE接收基站发送的小区变化对应的计数权重因子, 其中, 小区变 化包括: 小区重选或小区切换, 计数权重因子用于标识在移动状态估计的小区变化次 数确定过程中小区变化所对应的数值, 使得 UE可以根据小区重选或小区切换所对应 的计数权重因子确定移动状态估计, 提高了移动状态估计的准确性。 需要说明的是, 该实施例中的计数权重因子为在确定移动状态估计中小区重选或 小区切换对应的数值, 也即, 在移动状态估计中, 当 UE小区重选至该小区或小区切 换至该小区, 该小区在移动状态估计中对应的数值。 作为一个优选的实施方式,步骤 S204可以通过以下方式使用计数权重因子进行该 UE的移动状态估计: UE将预定时间段内移动过程中接收的小区变化对应的计数权重 因子进行累加得到小区变化次数; UE使用小区变化次数进行移动状态估计。该方式在 预定时间段内将接收到的小区变化对应的计数权重因子相累加,该方式计算比较简单。 优选地, 步骤 S202可以通过以下两种方式获取计数权重因子。 方式一: UE接收基站通过***广播消息向 UE发送的计数权重因子; 方式二: UE接收基站通过无线资源控制 RRC专有信令向 UE发送的计数权重因 子。 例如: 对于空闲态的 UE, 可以采用方式一; 对于连接态的 UE, 可以采用方式一 和方式二。
对应于 UE所处的不同的状态所能够获取消息的途径不同, 通过对应的消息途径 发送计数权重因子, 实现了计数权重因子的可靠传输。 本实施例提供了一种移动状态估计方法, 图 3是根据本发明实施例的移动状态估 计方法的第二流程图, 如图 3所示, 该方法的流程包括如下步骤 S302和步骤 S304。 步骤 S302: 基站获取小区变化对应的计数权重因子, 其中, 小区变化包括: 小区 重选或小区切换, 计数权重因子用于标识在移动状态估计的小区变化次数确定过程中 小区变化所对应的数值; 步骤 S304: 基站将计数权重因子发送给 UE。 通过上述步骤, 基站获取小区变化对应的计数权重因子, 其中, 该小区变化包括: 小区重选或小区切换, 该计数权重因子用于标识在移动状态估计的小区变化次数确定 过程中小区变化所对应的数值, 使得 UE可以根据小区重选或小区切换所对应的计数 权重因子进行确定移动状态估计计算, 提高了移动状态估计的准确性。 需要说明的是, 该实施例中的计数权重因子为在确定移动状态估计中小区重选或 小区切换对应的数值, 也即, 在移动状态估计中, 当 UE小区重选至该小区或小区切 换至该小区, 该小区在移动状态估计中对应的数值。 作为一个较优的实施方式,步骤 S302可以通过以下两种方式实现基站获取用户设 备 UE的服务小区对应的计数权重因子: 方式一: 基站设置小区变化对应的计数权重因子; 或 方式二: 基站从网络管理单元获取该网络管理单元通过网络操作维护管理 OAM 方式设置的小区变化对应的计数权重因子。 方式一实现比较简单, 方式二从网络管理单元中获取提高了***设置参数的统一 性。 步骤 S304可以采用如下两种方式: 方式一: 基站可以通过***广播消息向该 UE发送计数权重因子。 方式二: 基站可以通过***广播消息或无线资源控制 (RRC) 专有信令向该 UE 发送计数权重因子。
例如: 对于空闲态的 UE, 基站可以采用方式一; 对于连接态的 UE, 基站可以采 用方式一和方式二。 对应于 UE所处的不同的状态所能够获取消息的途径不同, 通过对应的消息途径 发送计数权重因子, 实现了计数权重因子的可靠传输。 在实施中, ***可以根据需要或者网络部署环境变化更新计数权重因子, 那么在 计数权重因子发生变化后, 基站可以采取与上述发送计数权重因子类似的方法将更新 后的计数权重因子通知给 UE, 例如: 在基站确定计数权重因子发生变化后, 可以通过 以下两种方式将更新后的计数权重因子发送给 UE: 方式一: 基站通过***广播消息发送更新后计数权重因子。 方式二: 基站通过***广播消息或无线资源控制 (RRC) 专有信令发送更新后计 数权重因子。 例如: 对于空闲态的 UE, 可以采用方式一; 对于连接态的 UE, 可以采用方式一 和方式二。 作为一个较优的实施方式, 该计数权重因子为大于等于 0且小于等于 1的实数。 在相关技术中的移动状态估计方法中, 一般是通过 UE移动途径的小区的变化次数的 累加来计算的, 即, 相当于每个小区的变化次数的权值为 1, 为了计算的方便, 根据 实际的***设置, 将计数权重因子设置为 0到 1之间的实数, 计算方便简单, 并且可 以参考相关技术中根据小区的变化的次数累加和确定移动状态估计中 UE对应的不同 移动状态。 比较优的, 如果小区变化不计入移动状态估计, 则小区变化的计算权重因 子设置为 0。 例如: 设置在宏基站之内用作分担该宏小区负荷的小区在移动状态估计 中并不计入累加和, 该小区的计数权重因子设置为 0。 比较优的, 计数权重因子不为 0 时, 根据小区的覆盖范围设置小区变化对应的计数权重因子。 在相关技术中的移动状 态估计中, 仅考虑 UE移动途径的小区变化次数, 并不考虑小区的覆盖范围, 所以可 能以恒定速度移动的 UE由于移动路径上途径的小区的覆盖大小不同而检测到不同的 移动状态, 为了克服由于小区的覆盖范围不同导致的 UE移动状态估计不准确, 对应 于不同的小区覆盖范围可以设置不同的计数权重因子, 例如: 宏小区 1的覆盖半径为 20m, 宏小区 2的覆盖半径为 10m, 则可以设置对应于宏小区 1的计数权重因子设置 为 1, 对应于宏小区 2的计数权重因子设置为 0.5。
优选地, 上述基站包括以下之一: 宏基站、 家庭基站、 微微基站、 微基站、 中继 节点。 该实施例描述了移动状态估计方法的实现主体, 扩大了移动状态估计方法适用 的范围。 在另外一个实施例中, 还提供了一种移动状态估计软件, 该软件用于执行上述实 施例及优选实施例中描述的技术方案。 在另外一个实施例中, 还提供了一种存储介质, 该存储介质中存储有上述移动状 态估计软件, 该存储介质包括但不限于: 光盘、 软盘、 硬盘、 可擦写存储器等。 本发明实施例还提供了一种移动状态估计装置,该装置可以应用于 UE,该移动状 态估计装置可以用于实现上述移动状态估计方法及优选实施方式,已经进行过说明的, 不再赘述, 下面对该移动状态估计模块中涉及到的模块进行说明。 如以下所使用的, 术语"模块"可以实现预定功能的软件和 /或硬件的组合。 尽管以下实施例所描述的*** 和方法较佳地以软件来实现, 但是硬件, 或者软件和硬件的组合的实现也是可能并被 构想的。 图 4是根据本发明实施例的移动状态估计装置的第一结构框图, 如图 4所示, 该 装置包括: 第一接收模块 42和第一处理模块 44, 下面对上述结构进行详细描述: 第一接收模块 42, 设置为接收基站发送的小区变化对应的计数权重因子, 其中, 小区变化包括: 小区重选或小区切换, 计数权重因子用于标识在移动状态估计的小区 变化次数确定过程中小区变化所对应的数值; 第一处理模块 44, 连接至第一接收模块 42, 设置为使用第一接收模块 42接收到的计数权重因子进行第一接收模块 42所在的 UE的移动状态估计。 图 5是根据本发明实施例的移动状态估计装置的优选的第一结构框图, 如图 7所 示, 第一接收模块 42包括: 第二接收模块 422, 第三接收模块 424; 第一处理模块 44 包括: 累加模块 442和第二处理模块 444, 下面对上述结构进行详细描述: 第一接收模块 42包括: 第二接收模块 422, 设置为接收基站通过***广播消息向 UE发送计数权重因子;第三接收模块 424,设置为接收基站通过无线资源控制(RRC) 专有信令向 UE发送计数权重因子。 累加模块 442,设置为 UE将预定时间段内移动过程中接收的小区变化对应的计数 权重因子进行累加得到小区变化次数; 第二处理模块 444, 连接至累加模块 442, 设置 为使用累加模块 442累加得到的变化次数进行移动状态估计。
本发明实施例还提供了一种移动状态估计装置, 该装置可以应用于基站, 该移动 状态估计装置可以用于实现上述移动状态估计方法及优选实施方式, 已经进行过说明 的, 不再赘述, 下面对该移动状态估计模块中涉及到的模块进行说明。 如以下所使用 的, 术语"模块"可以实现预定功能的软件和 /或硬件的组合。 尽管以下实施例所描述的 ***和方法较佳地以软件来实现, 但是硬件, 或者软件和硬件的组合的实现也是可能 并被构想的。 图 6是根据本发明实施例的移动状态估计装置的第二结构框图, 该装置可以应用 于基站, 如图 6所示, 该装置包括: 第一获取模块 62和第一发送模块 64, 下面对上 述结构进行详细描述: 第一获取模块 62, 设置为获取小区变化对应的计数权重因子, 其中, 小区变化包 括: 小区重选或小区切换, 计数权重因子用于标识在移动状态估计的小区变化次数确 定过程中小区变化所对应的数值; 第一发送模块 64, 连接至第一获取模块 62, 设置为 将第一获取模块 62获取到的计数权重因子发送给 UE。 图 7是根据本发明实施例的移动状态估计装置的优选的第二结构框图, 如图 7所 示,第一获取模块 62包括: 设置模块 622,第二获取模块 624;第一发送模块 64包括: 第二发送模块 642, 第三发送模块 644, 下面对上述结构进行详细描述: 第一获取模块 62包括: 设置模块 622, 用于设置小区变化对应的计数权重因子; 或第二获取模块 624, 设置为从网络管理单元获取该网络管理单元通过网络操作维护 管理 OAM方式设置的小区变化对应的计数权重因子。 第一发送模块 64包括: 第二发送模块 642, 设置为通过***广播消息向 UE发送 计数权重因子; 第三发送模块 644, 设置为通过无线资源控制 (RRC)专有信令向 UE 发送计数权重因子。 下面将结合优选实施例进行说明, 以下优选实施例结合了上述实施例及优选实施 方式。 优选实施例一 本实施例提供了一种终端设备移动状态估计方法, 该方法包括如下的步骤: 步骤 S2: 基站将计数权重因子发送给 UE; 步骤 S4: UE使用计数权重因子进行移动状态估计。
优选地, 步骤 S2中的基站包括但不限于宏基站 (macro), 家庭基站 (He B;), 微微 基站 (pico), 微基站 (micro), 中继节点 (relay node); 作为一个较优的实施方式, 计数权重因子取值范围为 0~1, 比较优的, 如果该小 区变化不计入移动状态估计, 则基站设定其计数权重因子为 0; 在计数权重因子不为 0 的情况下, 基站或网络管理网元可以根据小区的覆盖范围设定计数权重因子; 优选地, 在步骤 S2之前, 还包括: 基站设定计数权重因子; 或者, 其它网元设定 计数权重因子, 例如: 可以通过网络管理网元通过 OAM方式设定计数权重因子。 优选地, 在步骤 S2之间, 还包括: UE进行小区重选或切换到该基站下的小区。 优选地, 步骤 S4通过以下两种方式将计数权重因子发送给 UE: 方式一:基站通过***广播消息发送计数权重因子;***广播消息指 SIB3或其它 ***消息。 方式二: 基站通过 RRC专有信令消息发送计数权重因子; RRC专有信令指 RRC 连接重配置消息。 例如: 对于空闲态的 UE, 可以采用方式一; 对于连接态的 UE, 可以采用方式一 和方式二。 需要说明的是, 若基站没有将计数权重因子发送给 UE, 则 UE默认计数权重因子 为 1, 这样, 可以节省空口资源, 并避免在进行移动状态估计中遗漏小区。 作为一个较优的实施方式,步骤 S4可以采用如下方式:若该小区变化计入移动状 态估计, 则 UE将其计数权重因子累加到小区变化次数; UE根据小区变化次数进行移 动状态估计。 作为另一个较优的实施方式, 若小区的计数权重因子发生变化, 则基站将该小区 更新的计数权重因子告知 UE。 可以通过以下两种方式进行通知处理: 方式一: 基站通过***广播消息发送更新的计数权重因子; ***广播消息指 SIB3 或其它***消息。 方式二: 基站通过 RRC专有信令消息发送更新的计数权重因子; RRC专有信令 指 RRC连接重配置消息。
例如: 对于空闲态的 UE, 可以采用方式一; 对于连接态的 UE, 可以采用方式一 和方式二。 优选实施例二 本实施例提供了一种移动状态估计方法, 本实施例基于图 1描述的 hetnet典型部 署场景, 在本实施例中, 小功率节点(Low Power Node, 简称为 LPN)包括以下几类: 中继节点 (relay node), pico, He B, 且各小区的大小也即覆盖范围相差较大。 LPN 节点可以部署在 macro小区内用作热点覆盖, 分担 macro小区的负荷; 也可以不部署 在 macro小区内,用作覆盖增强,补充覆盖 macro小区未覆盖区域。其中 macro与 pico eNB之间可通过 X2接***互信令。 图 8是根据本发明优选实施例的移动状态估计方 法的第一流程图, 如图 8所示, 该方法的流程包括如下步骤: 步骤 S802: 基站设定计数权重因子, 或者网络网理管元通过 OAM设定计数权重 因子。 计数权重因子为大于等于 0且小于等于 1的实数。 当小区变化不计入移动状态 估计时, 其计数权重因子设定为 0, 例如: 当 LPN节点部署在宏小区覆盖范围内用作 热点覆盖时, 小区重选或切换至该 LPN节点下的小区不计入移动状态估计; 当计数权 重因子不为 0时, 可以根据小区的覆盖范围设置计数权重因子。 步骤 S804: 基站将计数权重因子发送给 UE。 空闲 (IDLE) 态 UE通过小区重选 从源小区重选至服务小区, 或连接态 UE从源小区切换至服务小区。 IDLE态 UE可以 通过***广播消息 SIB3获得计数权重因子。连接态 UE可以通过***广播消息或基站 发送的 RRC专有信令 RRC连接重配置消息获得计数权重因子。 另外, 若基站没有将 计数权重因子发送给 UE, 则 UE默认计数权重因子为 1; 步骤 S806: UE使用计数权重因子累加小区变化次数。 如果小区重选或切换至的 小区与源小区之前的服务小区不相同, 则 UE将该小区变化计入移动状态估计, UE将 该小区变化对应的计数权重因子累加到小区变化次数。 步骤 S808: UE根据小区变化次数进行移动状态估计。 具体判定准则如下: 在一定时长 TCRmax内,若小区变化次数大于 NCR——H,则 UE判定为高速移动状 态; 在一定时长 TCRmax内,若小区变化次数大于 NCR_M且小于 NCR——H, 则 UE判 定为中速移动状态;
在一定时长 TCRmaxHyst内,若没有检测到中速移动状态或高速移动状态,则 UE 判定为正常移动状态; 步骤 S810: UE根据估计的移动状态调整相关参数用于执行小区重选或切换。 若 UE为 IDLE态, 则使用 SIB3中移动状态对应的基于速度的小区重选调整参数进行相 应调整, 用于小区重选, 使得移动速度高的 UE能更快的完成小区重选。 若 UE为连 接态,则使用 RRC连接重配置消息中获得的移动状态对应的基于速度的切换测量事件 触发调整参数进行相应调整, 用于切换的测量事件触发, 使得移动速度高的 UE能更 快的完成切换。 优选实施例三 本实施例提供了一种计数权重因子设定及使用方法, 图 9是根据本发明实施例的
UE移动状态估计方法的应用场景的示意图一, 如图 9所示, 在异构网络下, LPN节 点部署在 macro小区的覆盖范围内, 该 LPN节点用于热点覆盖, 分担宏小区的负荷, 在本实施例的部署场景下布, 小区 2的计数权重因子为 0, 也即小区重选或切换至该 小区不计入 UE移动状态估计, UE从 macro小区 1移动到在 macro小区范围内的 LPN 节点下的小区 2。 若 UE在 macro小区时小区变化次数为 n, 则 UE切换或小区重选至 小区 2后小区变化次数保持为 n不变。 然后 UE根据该累加的小区变化次数进行移动 状态估计。 优选实施例四 本实施例提供了一种计数权重因子设定及使用方法,图 10是根据本发明实施例的 UE移动状态估计方法的应用场景的示意图二, 如图 10所示, 在异构网络下, LPN节 点没有布署在 macro小区的覆盖范围内, 该 LPN节点用于覆盖增强, 补充覆盖 macro 小区未覆盖区域。 该布署场景下, 小区 2的计数权重因子为 a, 其中 a为大于 0, 小于 1的实数。 也即小区重选或切换至该小区计入 UE移动状态估计。 UE从 macro小区 1 移动到 LPN节点下的小区 2。若 UE在 macro小区时小区变化次数为 n,则 UE切换或 小区重选至小区 2后小区变化次数为 n+a。 然后 UE根据该累加的小区变化次数进行 移动状态估计。 优选实施例五 本实施例提供了一种计数权重因子设定及使用方法,图 11是根据本发明实施例的 UE移动状态估计方法的应用场景的示意图三, 如图 11所示, 两个相邻的 macro小区 覆盖范围相差较大。 在该布署场景下, macro小区 1的计数权重因子为 1, macro小区
2的计数权重因子为 b, 其中 b为大于 0, 小于 1的实数。 也即小区重选或切换至该小 区计入 UE移动状态估计。 UE从 macro小区 1移动到相邻的 macro小区 2。 若 UE在 macro小区 1时小区变化次数为 n,则 UE切换或小区重选至 macro小区 2后小区变化 次数为 n+b。 然后 UE根据该累加的小区变化次数进行移动状态估计。 优选实施例六 本实施例提供了一种移动状态估计方法,在本实施例中, UE从 celll重选至 cell2, 图 12是根据本发明优选实施例的移动状态估计方法的第二流程图, 如图 10所示, 该 方法的流程包括如下步骤 S1202至步骤 S1210。 步骤 S1202: UE从 celll小区重选至 cell2。 步骤 S1204: UE驻留到 cell2后, 读取***消息 SIB3获取计数权重因子、 移动状 态估计参数、 基于速度的小区重选调整参数。 步骤 S1206: UE使用计数权重因子累加小区变化次数。 如果 cell2与 UE驻留在 celll之前所驻留的小区不相同, 则 UE将该小区变化计入移动状态估计, UE将计数 权重因子累加到小区变化次数。 步骤 S1208: UE根据小区变化次数进行移动状态估计。 具体判定准则如下: 在一定时长 TCRmax内,若小区变化次数大于 NCR——H,则 UE判定为高速移动状 态; 在一定时长 TCRmax内,若小区变化次数大于 NCR_M且小于 NCR——H, 则 UE判 定为中速移动状态; 在一定时长 TCRmaxHyst内,若没有检测到中速移动状态或高速移动状态,则 UE 判定为正常移动状态; 步骤 S1210: UE根据估计的移动状态调整相关参数用于执行小区重选或切换。本 实施例中 UE为 IDLE态, 则使用 SIB3中移动状态对应的基于速度的小区重选调整参 数进行相应调整, 用于小区重选, 使得移动速度高的 UE能更快的完成小区重选。
优选实施例七
本实施例提供了一种移动状态估计方法,在实施例中, UE从源小区切换至目标小 区, 图 13是根据本发明优选实施例的移动状态估计方法的第三流程图, 如图 13所示, 该方法的流程包括如下步骤 S1302至步骤 S1314。
步骤 S1302: UE发送测量报告给源基站。 步骤 S1304: 源基站与目标基站执行切换准备相关流程, 该切换流程可以为 S1切 换或 X2切换, 若为 S1切换, 则 MME也参与切换准备相关流程中。 步骤 S1306: 源基站发送 RRC连接重配置消息给 UE以指示 UE执行切换。 该消 息中包含目标小区的计数权重因子、 移动状态估计参数、 基于速度的切换测量事件触 发调整参数。 步骤 S1308: UE收到目标小区的计数权重因子后统计小区变化个数并进行移动状 态估计。 步骤 S1310: UE、 源基站、 目标基站执行后续步骤以完成切换流程。 步骤 S1312: UE读取目标小区的***广播消息, 获得计数权重因子、 移动状态估 计参数、 基于速度的小区重选调整参数。 步骤 S1314: UE根据估计的移动状态调整相关参数用于执行小区重选或切换。连 接态 UE使用 RRC连接重配置消息中获得的移动状态对应的基于速度的切换测量事件 触发调整参数进行相应调整, 用于切换的测量事件触发, 使得移动速度高的 UE能更 快的完成切换。 若 UE从连接态转为 IDLE态, 则使用***消息中移动状态对应的基 于速度的小区重选调整参数进行相应调整, 用于小区重选, 使得移动速度高的 UE能 更快的完成小区重选。 优选实施例八 本实施例提供了一种移动状态估计方法, 本实施例中基站通过***消息更新计数 权重因子的情况。 图 14是根据本发明优选实施例的移动状态估计方法的第四流程图, 如图 14所示, 该方法包括如下步骤: 步骤 S1402: UE读取源小区***广播消息,该消息中包含源小区的计数权重因子、 移动状态估计参数、 基于速度的小区重选调整参数。 步骤 S1404: UE使用源小区计数权重因子统计小区变化次数,进行移动状态估计, 并使用***消息中移动状态对应的基于速度的小区重选调整参数进行相应调整用于小 区重选。 步骤 S1406: 源小区的覆盖范围大小发生变化, 则源基站根据调整后的覆盖范围 大小重新设定其计数权重因子。
步骤 S1408: 源基站将更新的计数权重因子通过***广播消息发送给 UE。 步骤 S1410: UE读取***消息后保存更新计数权重因子, 使用更新的源小区计数 权重因子统计小区变化次数, 重新进行移动状态估计, 并使用***消息中移动状态对 应的基于速度的小区重选调整参数进行相应调整用于小区重选。 步骤 S1412: UE从源小区重选至目标小区。 优选实施例九 本实施例提供了一种移动状态估计方法,在本实施例中基站通过 RRC专有信令更 新计数权重因子, 图 15是根据本发明优选实施例的移动状态估计方法的第五流程图, 如图 15所示, 该方法包括步骤 S1502至步骤 S1512。 步骤 S1502: UE接收 RRC连接重配置消息, 该消息中包含源小区计数权重因子、 移动状态估计参数、 基于速度的切换测量事件触发调整参数。 步骤 S1504: UE使用源小区计数权重因子统计小区变化次数,进行移动状态估计, 并调整切换测量事件触发相关参数。 步骤 S1506: 源小区的覆盖范围大小发生变化, 则源基站根据调整后的覆盖范围 大小重新设定其计数权重因子。 步骤 S1508:源基站将更新的计数权重因子通过 RRC连接重配置消息发送给 UE。 步骤 S1510: UE接收 RRC连接重配置消息后保存更新计数权重因子, 使用更新 的源小区计数权重因子统计小区变化次数, 重新进行移动状态估计, 并使用该消息中 移动状态对应的基于速度的切换测量事件触发调整参数进行相应调整。 步骤 S1512: UE从源小区切换至目标小区。 通过上述实施例, 提供了一种移动状态估计方法及装置, 通过 UE在移动状态估 计时能综合考虑小区变化次数、 所经历小区的大小和网络部署情况, 更准确的进行移 动状态估计, 因此能更好的根据移动状态适应无线信道环境变化, 提高 UE移动的鲁 棒性。 需要说明的是, 这些技术效果并不是上述所有的实施方式所具有的, 有些技术效 果是某些优选实施方式才能取得的。
显然, 本领域的技术人员应该明白, 上述的本发明的各模块或各步骤可以用通用 的计算装置来实现, 它们可以集中在单个的计算装置上, 或者分布在多个计算装置所 组成的网络上, 可选地, 它们可以用计算装置可执行的程序代码来实现, 从而可以将 它们存储在存储装置中由计算装置来执行,或者将它们分别制作成各个集成电路模块, 或者将它们中的多个模块或步骤制作成单个集成电路模块来实现。 这样, 本发明不限 制于任何特定的硬件和软件结合。 以上所述仅为本发明的优选实施例而已, 并不用于限制本发明, 对于本领域的技 术人员来说, 本发明可以有各种更改和变化。 凡在本发明的精神和原则之内, 所作的 任何修改、 等同替换、 改进等, 均应包含在本发明的保护范围之内。
Claims
1. 一种移动状态估计方法, 包括:
用户设备 UE接收基站发送的小区变化对应的计数权重因子, 其中, 所述 小区变化包括: 小区重选或小区切换, 所述计数权重因子用于标识在移动状态 估计的小区变化次数确定过程中所述小区变化所对应的数值;
所述 UE使用所述计数权重因子进行该 UE的移动状态估计。
2. 根据权利要求 1所述的方法, 其中, 所述 UE使用所述计数权重因子进行该 UE 的移动状态估计包括:
所述 UE将预定时间段内移动过程中接收的所述小区变化对应的计数权重 因子进行累加得到小区变化次数;
所述 UE使用所述小区变化次数进行移动状态估计。
3. 根据权利要求 1所述的方法, 其中, UE接收基站发送的小区变化对应的计数 权重因子包括:
所述 UE接收所述基站通过***广播消息向所述 UE发送的所述计数权重 因子;
所述 UE接收所述基站通过无线资源控制 RRC专有信令向所述 UE发送的 所述计数权重因子。
4. 一种移动状态估计方法, 包括:
基站获取小区变化对应的计数权重因子, 其中, 所述小区变化包括: 小区 重选或小区切换, 所述计数权重因子用于标识在移动状态估计的小区变化次数 确定过程中所述小区变化所对应的数值;
所述基站将所述计数权重因子发送给 UE。
5. 根据权利要求 4所述的方法, 其中, 基站获取小区变化对应的计数权重因子包 括:
所述基站设置小区变化对应的计数权重因子; 或
所述基站从网络管理单元获取该网络管理单元通过网络操作维护管理 OAM方式设置的小区变化对应的计数权重因子。
6. 根据权利要求 4所述的方法, 其中, 基站向 UE发送小区变化对应的计数权重 因子包括:
所述基站通过***广播消息向所述 UE发送所述计数权重因子; 所述基站通过无线资源控制 RRC专有信令向所述 UE发送所述计数权重因 子。
7. 根据权利要求 4至 6中任一项所述的方法, 其中, 所述计数权重因子为大于等 于 0且小于等于 1的实数。
8. 根据权利要求 7所述的方法, 其中, 所述计数权重因子不为 0时, 根据小区的 覆盖范围设置所述小区变化对应的计数权重因子。
9. 根据权利要求 7所述的方法, 其中, 如果所述小区变化不计入移动状态估计, 则所述小区变化的计算权重因子设置为 0。
10. 根据权利要求 4至 6中任一项所述的方法, 其中, 所述基站包括以下之一: 宏基站、 家庭基站、 微微基站、 微基站、 中继节 点。
11. 一种用户设备, 包括:
第一接收模块, 设置为接收基站发送的小区变化对应的计数权重因子, 其 中, 所述小区变化包括: 小区重选或小区切换, 所述计数权重因子用于标识在 移动状态估计的小区变化次数确定过程中所述小区变化所对应的数值;
第一处理模块, 设置为使用所述计数权重因子进行所述第一处理模块所在 的 UE的移动状态估计。
12. 根据权利要求 11所述的用户设备, 其中, 所述第一处理模块包括:
累加模块, 设置为所述 UE将预定时间段内移动过程中接收的所述小区变 化对应的计数权重因子进行累加得到小区变化次数;
第二处理模块, 设置为使用所述小区变化次数进行移动状态估计。
13. 根据权利要求 11所述的用户设备, 其中, 所述第一接收模块包括:
第二接收模块, 设置为接收所述基站通过***广播消息向所述 UE发送的 所述计数权重因子; 第三接收模块,设置为接收所述基站通过无线资源控制 RRC专有信令向所 述 UE发送的所述计数权重因子。
14. 一种基站, 包括:
第一获取模块, 设置为获取小区变化对应的计数权重因子, 其中, 所述小 区变化包括: 小区重选或小区切换, 所述计数权重因子用于标识在移动状态估 计的小区变化次数确定过程中所述小区变化所对应的数值;
第一发送模块, 设置为将所述计数权重因子发送给 UE。
15. 根据权利要求 14所述的基站, 其中, 所述第一获取模块包括:
设置模块, 用于设置小区变化对应的计数权重因子; 或
第二获取模块, 设置为从网络管理单元获取该网络管理单元通过网络操作 维护管理 OAM方式设置的小区变化对应的计数权重因子。
16. 根据权利要求 14所述的基站, 其中, 所述第一发送模块包括:
第二发送模块, 设置为通过***广播消息向所述 UE发送所述计数权重因 子;
第三发送模块,设置为通过无线资源控制 RRC专有信令向所述 UE发送所 述计数权重因子。
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WO2018076176A1 (zh) * | 2016-10-25 | 2018-05-03 | 华为技术有限公司 | 一种配置终端的方法以及相关通信设备 |
WO2022250377A1 (en) * | 2021-05-26 | 2022-12-01 | Samsung Electronics Co., Ltd. | Method and apparatus for optimizing ue mobility performance in wireless communication system |
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US9847823B2 (en) * | 2013-08-08 | 2017-12-19 | Intel IP Corporation | Systems and methods for mobility state estimation framework for LTE network |
CN106304172A (zh) * | 2015-05-18 | 2017-01-04 | ***通信集团公司 | 一种确定终端移动速度的方法和装置 |
CN105050119B (zh) * | 2015-08-06 | 2019-04-30 | 中国联合网络通信集团有限公司 | 一种移动性统计方法及装置 |
CN105792256B (zh) * | 2016-02-29 | 2019-05-31 | 重庆邮电大学 | 基于移动状态估计的双连接切换增强方法及估计装置 |
CN108934047A (zh) * | 2017-05-25 | 2018-12-04 | 联发科技(新加坡)私人有限公司 | 乒乓重选抑制方法与移动终端 |
CN109005514B (zh) * | 2018-08-15 | 2020-01-21 | 宜通世纪科技股份有限公司 | 用户位置信息的回填方法、装置、终端设备及存储介质 |
CN110913436A (zh) * | 2018-09-14 | 2020-03-24 | ***通信有限公司研究院 | 移动状态的估计方法、参数的发送方法、终端及网络设备 |
CN111641978B (zh) * | 2019-03-01 | 2022-10-28 | 华为技术有限公司 | 一种终端移动状态确定方法及装置 |
CN115103059B (zh) * | 2022-06-20 | 2023-08-11 | 珠海格力电器股份有限公司 | 音量控制方法、装置、电子装置和存储介质 |
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