WO2011134409A1 - 一种确定终端移动性状态的方法和装置 - Google Patents

一种确定终端移动性状态的方法和装置 Download PDF

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Publication number
WO2011134409A1
WO2011134409A1 PCT/CN2011/073456 CN2011073456W WO2011134409A1 WO 2011134409 A1 WO2011134409 A1 WO 2011134409A1 CN 2011073456 W CN2011073456 W CN 2011073456W WO 2011134409 A1 WO2011134409 A1 WO 2011134409A1
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Prior art keywords
terminal
cell
serving cell
moving distance
mobility state
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PCT/CN2011/073456
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English (en)
French (fr)
Inventor
肖登坤
原鹏
李安俭
贺媛
韩静
姚春凤
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华为技术有限公司
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Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to RU2012150831/07A priority Critical patent/RU2534740C2/ru
Priority to EP11774400.3A priority patent/EP2566220B1/en
Publication of WO2011134409A1 publication Critical patent/WO2011134409A1/zh
Priority to US13/662,058 priority patent/US8725169B2/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S11/00—Systems for determining distance or velocity not using reflection or reradiation
    • G01S11/02—Systems for determining distance or velocity not using reflection or reradiation using radio waves

Definitions

  • the Mobility State of the UE when the Mobility State of the UE is evaluated, the number of cell reselection performed by the UE within a predetermined time (T CRmax ) is recorded, and then the number of recorded cell reselections is defined in advance.
  • the threshold values (such as N CR _ M , N CR _ H ) are compared to determine the mobility state of the UE, such as normal (Normal), high speed (High), and the like.
  • embodiments of the present invention provide a method and apparatus for determining a mobility state of a terminal, which are used to accurately evaluate terminal mobility characteristics in a complex network structure. State.
  • a method for determining a mobility state of a terminal comprising:
  • Using the distance estimation strategy calculating a total moving distance of the terminal within a predetermined length of time; determining a mobility state of the terminal according to the total moving distance.
  • An apparatus for determining a mobility state of a terminal comprising:
  • a moving distance calculating unit configured to calculate a total moving distance of the terminal within a predetermined time length by using a distance estimating strategy
  • a mobility state determining unit configured to determine a mobility state of the terminal according to the total moving distance
  • the technical solution provided by the embodiment of the present invention provides a method for accurately estimating the mobility state of a terminal in a complex network structure by calculating the total moving distance of the terminal within a predetermined time length, thereby being able to configure the terminal according to the mobility state. More suitable network parameters optimize the mobility performance of the terminal and improve the overall performance of the network.
  • a method for determining a mobility state of a terminal comprising:
  • An apparatus for determining a mobility state of a terminal comprising:
  • a cell statistic unit configured to count the number of serving cells that the terminal passes within a predetermined time length, where the current serving cell and the previous serving cell belong to the same macro cell coverage, and ignore the current serving cell;
  • a mobility state determining unit configured to determine a mobility state of the terminal according to the number of the serving cells.
  • the technical solution provided by the embodiment of the present invention provides an accurate network structure by selectively counting the number of serving cells that the terminal passes within a predetermined length of time, considering the characteristics of different serving cells in the heterogeneous network.
  • a method of evaluating the mobility state of a terminal, thereby being able to The mobility state configures more appropriate network parameters for the terminal, optimizes the mobility performance of the terminal, and improves the overall performance of the network.
  • FIG. 1 is a schematic diagram of a method for determining a mobility state of a terminal according to an embodiment of the present invention
  • FIG. 2(a) is a simplified schematic diagram of a UE moving in a homogeneous network according to an embodiment of the present invention
  • FIG. 2(b) is a simplified schematic diagram of a UE moving in a heterogeneous network according to an embodiment of the present invention
  • FIG. 3 is a comparison diagram of evaluating mobility states of a UE in a homogeneous network and a heterogeneous network using the prior art
  • FIG. 4 is a schematic diagram of an application scenario according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of a method for determining a mobility state of a terminal according to another embodiment of the present invention
  • FIG. 6 is a schematic diagram of a method for calculating a mobile terminal distance according to another embodiment of the present invention
  • FIG. 8 is a schematic diagram of a terminal traversing a macro cell according to another embodiment of the present invention
  • FIG. 9 is a simplified schematic diagram of a heterogeneous network according to another embodiment of the present invention.
  • FIG. 10 is a schematic diagram of a method for determining a mobility state of a terminal according to another embodiment of the present invention
  • FIG. 11 is a schematic diagram of a device for determining a mobility state of a terminal according to another embodiment of the present invention
  • FIG. 12 is a schematic diagram of an apparatus for determining a mobility state of a terminal according to another embodiment of the present invention.
  • Figure. The embodiments of the present invention will be described clearly and completely in conjunction with the drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of them. An embodiment. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.
  • An embodiment of the present invention provides a method for determining a mobility state of a terminal. Referring to FIG. 1, the method includes:
  • Step 11 Calculate the total moving distance of the terminal within a predetermined length of time by using a distance estimation strategy
  • Step 12 Determine a mobility state of the terminal according to the total moving distance.
  • the technical solution of the embodiment of the present invention solves the problems existing in the prior art.
  • FIG. 2( a ) and FIG. 2 ( b ) it can be clearly seen that if the UE traverses the two networks at the same speed and in the same direction, the UE performs in the heterogeneous network in the same time.
  • the number of cell reselections will be much larger than the number of cell reselections performed by the UE in the homogeneous network.
  • the method for evaluating the mobility state provided by the prior art may result in a high estimation of the mobility state of the UE in the heterogeneous network.
  • the data histogram in Figure 3 clearly illustrates this problem.
  • the bar graph of the stripe in Figure 3 shows the statistics of the number of cell reselections performed by the UE in a heterogeneous network for a period of time.
  • the bar graph without stripes indicates that the UE moves in the isomorphic network in the prior art.
  • the statistics of the number of cell reselections are performed in the same time period. It can be seen that the number of cell reselections performed by the UE at a speed of 50 km/h in a heterogeneous network is even much higher than the number of cell reselections performed at a speed of 120 km/h in a homogeneous network.
  • Existing technologies cannot correctly assess the mobility status of UEs in heterogeneous networks.
  • Low-power nodes such as hotspots (Pico), home base stations (Home E-UTRAN NodeBs, HeNBs), and relays are deployed, and the network heterogeneity introduced thereby makes the network structure of the wireless communication system more complicated.
  • FIG. 4 an application scenario of an embodiment of the present invention is shown.
  • the mobility state of the above terminal (such as UE) is different according to the network architecture.
  • the mobility state of the UE is divided into Normal. And High (high speed);
  • the UE's mobility state is further divided into three types: Normal, Medium, and High.
  • the above-mentioned distance estimation strategy may be: when the type of the current serving cell of the terminal is the first power cell, if the type of the last serving cell is the first power cell and the type of the previous serving cell is also the first power cell Then, the diameter of the last serving cell is used as the estimated moving distance of the terminal; otherwise, the current estimation of the moving distance is skipped; when the type of the current serving cell of the terminal is the second power cell, The distance between the current serving cell center and the last serving cell center is used as the estimated moving distance of the terminal;
  • the power of the first power cell is greater than the power of the second power cell.
  • the first power cell mainly refers to a conventional high power cell
  • the second power cell mainly refers to a low power cell in a heterogeneous network.
  • the technical solution provided by the embodiment of the present invention provides a method for accurately estimating the mobility state of a terminal in a complex network structure by calculating the total moving distance of the terminal within a predetermined time length, thereby being able to configure the terminal according to the mobility state. More suitable network parameters optimize the mobility performance of the terminal and improve the overall performance of the network.
  • a method for determining the mobility state of a terminal provided by another embodiment of the present invention is described in detail below. See Figure 5, including the following processing:
  • Step S1 Determine relevant parameters regarding the length of time, the threshold, and the like.
  • the network system can determine the required parameters according to the distance estimation strategy and system requirements used.
  • the number for example, a predetermined length of time for estimating the moving distance and a threshold value for distinguishing the respective mobility states of the terminal, and the like.
  • the parameters are sent to the terminal, such as the UE, and the UE calculates the total moving distance within a predetermined length of time according to the parameter.
  • Step S2 Using the distance estimation strategy, calculate the total moving distance of the terminal within a predetermined length of time.
  • the distance estimation strategy is used to calculate the moving distance of the terminal from one serving cell to the next serving cell, and the moving distance is superimposed to obtain the total moving distance.
  • the embodiment of the present invention can confirm that the terminal moves from one serving cell to the next serving cell by means of a cell reselection (Cell Reselection), a cell handover, and the like in the mobile terminal.
  • Cell Reselection Cell Reselection
  • Cell handover Cell handover
  • the corresponding operations that the terminal needs to complete during the mobile process include: Cell selection in the idle state (RRC-IDLE state), cell reselection, and terminal connection status (RRC) -CON ECTED state )
  • a mobility related process such as cell handover.
  • the terminal performs cell reselection in an idle state or the terminal performs cell handover in a connected state it can be confirmed that the terminal moves from one serving cell to another serving cell.
  • the case where the terminal performs cell reselection is mainly taken as an example for description. However, without being limited thereto, any information capable of instructing the terminal to move from one serving cell to another serving cell may be triggered to trigger detection of the terminal mobility state.
  • the cells in the heterogeneous network are classified into two types: a first power cell and a second power cell.
  • first and second are used to distinguish the same or similar items whose functions and functions are substantially the same, and those skilled in the art can understand “first” and “first”. “2” and so on and limit the number and execution order.
  • the first power cell includes a conventional high power cell, such as a macro cell
  • the second power cell includes a low power cell in a heterogeneous network, such as a micro cell and a pico cell, for convenience.
  • a heterogeneous network such as a micro cell and a pico cell
  • the types of cell reselection can be classified into four types: Macro-to-Macro, Macro-to-Pico, Pico-to-Pico, and Pico-to-Macro.
  • Macro-to-Macro Macro-to-Macro
  • Macro-to-Pico Macro-to-Pico
  • Pico-to-Pico Pico-to-Macro
  • the following are examples of cell reselection scenarios. Description. The following describes the method for calculating the moving distance of the terminal under these four types. Referring to FIG. 6, the main processing steps are as follows:
  • the terminal detects and acquires the type of the current serving cell to which the terminal belongs, that is, determines whether the current serving cell is a macro cell or a pico cell, and if the macro cell performs step 3, if it is a pico cell, step 4 is performed.
  • step 5 is performed when the type of the last serving cell is a pico cell. , go to step 6.
  • the current serving cell of the terminal is a low power cell, and the distance between the current serving cell center and the last serving cell center is used as the current estimation.
  • the moving distance of the terminal by which the current value of the total moving distance is superimposed to update the total moving distance.
  • the type of cell reselection of the terminal is no longer considered, and the distance between the two cell centers is used as the terminal obtained by the current estimation to perform the current cell reselection and execution.
  • the moving distance between the secondary cell reselection (the moving distance of the last serving cell to the current serving cell), and the moving distance is used to update the final moving distance of the terminal.
  • a plurality of methods can be used to calculate the distance between the current serving cell and the previous serving cell.
  • the base station is The system message sent to the terminal may carry the coordinate information of the serving cell center, and the terminal calculates the distance according to the coordinate information of the current serving cell center and the coordinate information of the last serving cell center, and uses the distance as the estimated moving distance of the terminal. .
  • the last serving cell and the upper serving cell of the terminal are both macro cells, that is, when the last cell reselection type of the terminal is Macro-to-Macro, see FIG. 8
  • the terminal moves in the heterogeneous network, it traverses a certain macro cell and is not reselected or switched to any low power cell.
  • the diameter of the last serving cell is used as the current estimated value.
  • the moving distance of the terminal, and the current value of the total moving distance is superimposed by the moving distance to update the total moving distance.
  • the type of the current serving cell of the terminal needs to be recorded, that is, the current cell reselection type of the terminal is recorded, and the last serving cell of the terminal is saved, so as to facilitate subsequent confirmation.
  • the current cell reselection type of the terminal can be known, and the moving distance of the terminal from the current serving cell to the next serving cell is calculated according to the current cell reselection type and the type of the next serving cell.
  • the above steps are performed to update the total moving distance of the terminal with the corresponding moving distance, and then the mobility state of the terminal is determined based on the total moving distance by the following operation.
  • Step S3 Compare the total moving distance with the predetermined distance threshold.
  • the number of the distance thresholds is determined according to the type of the mobility state of the terminal. For example, when the mobility state of the terminal is divided into normal and high speed, a distance threshold can be set; when the mobility state of the terminal is divided into normal, medium, and high speed, two distances need to be set. value.
  • the embodiment of the present invention is described by taking the first distance as an example.
  • Step S4 Determine the mobility state of the terminal.
  • the dynamic state is high speed; when the total moving distance of the terminal is less than the first distance threshold, it is determined that the mobility state of the terminal is normal.
  • the terminal will involve the configuration of some relevant network parameters during the mobile process, such as T reselectl . n (evaluation time of the signal quality of the target cell when performing cell reselection), Q H yst (the signal strength of the target cell is greater than the margin of the signal strength of the camping cell), the trigger time (Time to Trigger , ⁇ ) and Hysteresis value (Hysteresis, Hys) and so on.
  • the configuration of these parameters should also be adjusted accordingly, for example, when the terminal is in a high speed and idle state, relative to the terminal at a low speed state. Time, Treseleetl .
  • n should be set smaller and the value of Q hys should be increased a bit to enable the UE to reselect to the target cell more quickly.
  • the technical solution provided by the embodiment of the present invention can accurately evaluate the mobility state of the terminal, and the foregoing parameters are more reasonably configured according to the mobility state, thereby greatly improving the mobility performance of the system.
  • the technical solution provided by the embodiment of the present invention provides a method for accurately estimating the mobility state of a terminal in a complex network structure by calculating the total moving distance of the terminal within a predetermined time length, thereby being able to configure the terminal according to the mobility state. More suitable network parameters optimize the mobility performance of the terminal and improve the overall performance of the network.
  • a further embodiment of the present invention further provides a method for determining a mobility state of a terminal, comprising: counting a number of serving cells that the terminal passes within a predetermined time length, wherein if the current serving cell and the last serving cell belong to the same macro cell When the coverage is within, the current serving cell is ignored; and the mobility state of the terminal is determined according to the number of the serving cells.
  • the serving cell through which the terminal passes mainly refers to the service cell to which the terminal is reselected or switched.
  • the cell reselection or the cell handover may also be used to count the number of serving cells that the terminal passes. However, the current serving cell and the last serving cell belong to the same macro cell coverage, and the current serving cell is not counted. . That is, only when the cell reselection (or cell handover) performed by the terminal occurs in two cases belonging to different macro cell coverage, the current cell reselection (or cell handover) is counted.
  • FIG. 9 As can be seen from FIG.
  • three low-power cells a, b, and c are respectively located in the coverage of different macro cells, a and b is within the coverage of the macro cell d, and c is within the coverage of the macro cell e.
  • macro cells d and e they are considered to be covered by themselves.
  • the cell identifier (Cell ID) or other information having similar functions may be used to determine the coverage of the macro cell in the serving cell. If the cell identification information of the current serving cell is the same as the cell identification information of the last serving cell, It is confirmed that the current serving cell and the last serving cell belong to the same macro cell coverage.
  • the cell identification information includes a cell identification code of the macro cell that covers the serving cell, but is not limited thereto, and the cell identification information may further include other information indicating the macro cell of the service d and the area.
  • the cell reselection is taken as an example to determine whether the cell identification information of the current serving cell and the previous serving cell are the same after each terminal performs cell reselection. If this is the case, the cell reselection is ignored, and the current serving cell is counted differently, and the current value of the number of cells to which the terminal is reselected or switched to is incremented by one.
  • the technical solution provided by the embodiment of the present invention provides an accurate network structure by selectively counting the number of serving cells that the terminal passes within a predetermined length of time, considering the characteristics of different serving cells in the heterogeneous network.
  • a further embodiment of the present invention provides an apparatus for determining a mobility state of a terminal. Referring to FIG. 11, the apparatus includes:
  • the moving distance calculating unit 111 is configured to calculate a total moving distance of the terminal within a predetermined time length by using the distance estimating strategy, and the mobility state determining unit 112 is configured to determine a mobility state of the terminal according to the total moving distance.
  • the moving distance calculation unit 111 is specifically configured to use a distance estimation strategy for estimating the movement of the terminal from one serving cell to the next serving cell respectively within a predetermined time length. The distance is superimposed on the moving distance to obtain the total moving distance.
  • the distance estimation strategy used by the mobile distance calculation unit 111 includes: when the type of the current serving cell is the first power cell, if the type of the previous serving cell is the first power cell and the type of the upper serving cell is also For the first power cell, the diameter of the last serving cell is used as the estimated moving distance of the terminal; otherwise, the current estimation of the moving distance is skipped; the current serving cell type is the second In the case of the power cell, the distance between the current serving cell center and the last serving cell center is used as the estimated moving distance of the terminal; wherein the power of the first power cell is greater than the second power cell Power.
  • the first power cell includes a conventional high power cell, such as a macro cell
  • the second power cell includes a low power cell in a heterogeneous network, such as a micro cell and a pico cell.
  • the device further includes a cell type recording unit, configured to record the current serving cell type and save the previous service. a type of the cell, so that the mobile distance calculation unit moves the terminal from the current serving cell to the next serving cell by using the type of the current serving cell and the type of the last serving cell and the type of the next serving cell The moving distance is estimated.
  • the mobility state determining unit 112 is configured to determine a mobility state of the terminal by comparing the total moving distance with a predetermined at least one distance threshold.
  • Embodiments of the present invention also provide a communication system including the above-described apparatus for determining the mobility state of a terminal.
  • each functional module and unit in the device embodiment of the present invention refers to the method embodiment of the present invention.
  • the functional modules and units in the device embodiment of the present invention may be implemented separately or integrated in one or more units.
  • Apparatus for determining terminal mobility status in the system is described in the apparatus embodiment of the present invention.
  • the technical solution provided by the embodiment of the present invention provides a method for accurately estimating the mobility state of the terminal in a complex network structure by calculating the total moving distance of the terminal within a predetermined time length.
  • the method can configure more suitable network parameters for the terminal according to the mobility state, optimize the mobility performance of the terminal, and improve the overall performance of the network.
  • a further embodiment of the present invention provides an apparatus for determining a mobility state of a terminal. Referring to FIG. 12, the apparatus includes:
  • the cell statistic unit 121 is configured to count the number of serving cells that the terminal passes within a predetermined time length, wherein if the current serving cell and the last serving cell belong to the same macro cell coverage, the current serving cell is ignored;
  • the determining unit 122 is configured to determine a mobility state of the terminal according to the number of the serving cells.
  • the cell statistic unit 121 includes an acknowledgment module, configured to: if the cell identification information of the current serving cell is the same as the cell identification information of the last serving cell, confirm that the current serving cell and the last serving cell belong to the same macro cell coverage.
  • the cell identification information includes a cell identifier of a macro cell that covers the monthly service cell.
  • Embodiments of the present invention also provide a communication system including the above-described apparatus for determining the mobility state of a terminal.
  • the means for determining the state of mobility of the terminal in the system is referred to the embodiment of the apparatus of the present invention.
  • each functional module and unit in the device embodiment of the present invention refers to the method embodiment of the present invention.
  • the functional modules and units in the device embodiment of the present invention may be implemented separately or integrated in one or more units.
  • the technical solution provided by the embodiment of the present invention provides an accurate network structure by selectively counting the number of serving cells that the terminal passes within a predetermined length of time, considering the characteristics of different serving cells in the heterogeneous network.
  • the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in the form of a software product in essence or in a contribution to the prior art.
  • the computer software product may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes a plurality of instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the present invention.
  • a computer device which may be a personal computer, a server, or a network device, etc.

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Description

一种确定终端移动性状态的方法和装置 本申请要求于 2010 年 4 月 28 日提交中国专利局、 申请号为 201010158450.5、 发明名称为 "一种确定终端移动性状态的方法和装置" 的 中国专利申请的优先权， 其全部内容通过引用结合在本申请中。 技术领域 本发明涉及无线通信技术领域， 尤其涉及一种确定终端移动性状态的 方法和装置。 发明背景 随着移动通信技术的发展， 无线通信系统可以支持的用户设备 （User Equipment , UE)的移动速度也越来越高。 进入到长期发展 (Long-term Evolution, LTE)阶段后， 通信系统可支持的 UE速度已经达到 350km/h以 上。
现有技术在对 UE的移动性状态 （ Mobility State )评估时， 记录 UE在 一段规定好的时间 （TCRmax ) 内执行小区重选的数量， 然后将记录的小区重 选的数量与提前定义好的阔值（如 NCR_M、 NCR_H )相比较， 以确定 UE的移 动性状态， 如正常（Normal ), 高速（High )等。
然而， 现有技术中也存在不少缺陷， 例如， 在 LTE-A系统中引入的异 构网增加了网络结构的复杂度， 现有技术提供的移动性状态的评估方法， 无法正确评估 UE的移动性状态。 发明内容 为解决现有技术中存在的问题， 本发明的实施例提供一种确定终端移 动性状态的方法和装置， 用于在复杂的网络结构中准确评估终端移动性状 态。
为达到上述目的， 本发明的实施例釆用如下技术方案：
一种确定终端移动性状态的方法， 包括：
利用距离估计策略， 计算终端在预定时间长度内的总移动距离； 根据所述总移动距离确定所述终端的移动性状态。
一种确定终端移动性状态的装置， 包括：
移动距离计算单元， 用于利用距离估计策略， 计算终端在预定时间长 度内的总移动距离； 移动性状态确定单元， 用于根据所述总移动距离确定 所述终端的移动性状态。
本发明实施例提供的技术方案， 通过计算终端在预定时间长度内的总 移动距离， 提供了一种在复杂的网络结构中准确评估终端移动性状态的方 法， 从而能够根据移动性状态为终端配置更加合适的网络参数， 优化了终 端的移动性性能， 提高的网络的整体性能。 一种确定终端移动性状态的方法， 包括：
统计终端在预定时间长度内经过的服务小区数量， 其中， 若当前服务 小区和上一个服务小区属于相同的宏小区覆盖范围内时， 不对所述当前服 务小区进行统计； 根据所述服务小区的数量确定所述终端的移动性状态。
一种确定终端移动性状态的装置， 包括：
小区统计单元， 用于统计终端在预定时间长度内经过的服务小区数量， 其中， 若当前服务小区和上一个服务小区属于相同的宏小区覆盖范围内时， 忽略当前服务小区；
移动性状态确定单元， 用于根据所述服务小区的数量确定所述终端的 移动性状态。
本发明实施例提供的技术方案， 考虑到异构网中不同服务小区的特点， 通过选择性的统计终端在预定时间长度内经过的服务小区的数量， 提供了 一种在复杂的网络结构中准确评估终端移动性状态的方法， 从而能够根据 移动性状态为终端配置更加合适的网络参数， 优化了终端的移动性性能， 提高的网络的整体性能。 附图简要说明 为了更清楚地说明本发明实施例或现有技术中的技术方案， 下面将对 实施例或现有技术描述中所需要使用的附图作简单地介绍， 显而易见地， 下面描述中的附图仅仅是本发明的一些实施例， 对于本领域普通技术人员 来讲， 在不付出创造性劳动的前提下， 还可以根据这些附图获得其他的附 图。
图 1 为本发明一个实施例提供的一种确定终端移动性状态的方法示意 图；
图 2 ( a )为本发明一个实施例提供的 UE在同构网中移动的简化示意 图；
图 2 ( b )为本发明一个实施例提供的 UE在异构网中移动的简化示意 图；
图 3为釆用现有技术对 UE在同构网和异构网中评估移动性状态的对比 图；
图 4为本发明实施例的一个应用场景示意图；
图 5为本发明又一实施例提供的确定终端移动性状态的方法示意图； 图 6为本发明又一实施例提供的计算终端移动距离的方法示意图； 图 7为本发明又一实施例提供的终端移动至低功率小区的示意图； 图 8为本发明又一实施例提供的终端穿越宏小区的示意图；
图 9为本发明又一实施例提供的异构网简化示意图；
图 10为本发明又一实施例提供的确定终端移动性状态的方法示意图； 图 11为本发明又一实施例提供的一种确定终端移动性状态的装置示意 图；
图 12为本发明又一实施例提供的一种确定终端移动性状态的装置示意 图。 实施本发明的方式 下面将结合本发明实施例中的附图， 对本发明实施例中的技术方案进 行清楚、 完整地描述， 显然， 所描述的实施例仅仅是本发明一部分实施例， 而不是全部的实施例。 基于本发明中的实施例， 本领域普通技术人员在没 有作出创造性劳动前提下所获得的所有其他实施例， 都属于本发明保护的 范围。
本发明一个实施例提供了一种确定终端移动性状态的方法， 参见图 1 , 包括：
步骤 11 : 利用距离估计策略， 计算终端在预定时间长度内的总移动距 离；
步骤 12: 根据所述总移动距离确定所述终端的移动性状态。
本发明实施例的技术方案解决了现有技术中存在的问题。 参见图 2 ( a ) 和图 2 ( b ), 可以清楚地看到， 如果 UE以相同速度和相同的方向穿过这两 个网络， 那么在相同的时间内， UE在异构网中所执行的小区重选的数量会 远远大于 UE在同构网中所执行的小区重选数量。现有技术提供的移动性状 态的评估方法，会造成对异构网中 UE的移动性状态估计偏高。 图 3中的数 据柱状图清楚地说明了这一问题。 图 3 中带条紋的柱状图表示现有技术对 UE在异构网中移动时一段时间内执行小区重选数量的统计， 不带条紋的柱 状图表示现有技术对 UE在同构网中移动时相同时间内执行小区重选数量 的统计。 可以看出， UE在异构网中以 50km/h的速度执行的小区重选的数 量甚至远远高于在同构网中以 120km/h的速度执行的小区重选的数量。 现 有技术无法正确评估 UE在异构网中的移动性状态。
本发明的实施例提供的技术方案， 可以应用在异构网中。 在发展到
LTE-A 系统后， 为了扩大高数据速率覆盖的范围、 增加临时网络覆盖、 填 补覆盖空洞和阴影死角以及提高小区边缘吞吐量等的目的， 在宏基站小区 内部署了热点 （Pico )、 家庭基站（Home E-UTRAN NodeB , HeNB )和中 继 （Relay )等低功率节点， 由此引入的网络异构使得无线通信系统的网络 结构更加复杂。 参见图 4, 显示了本发明实施例的一个应用场景。
上述终端（如 UE )的移动性状态，才艮据网络架构的不同也不同， 例如， 在通用移动通信系统( Universal Mobile Telecommunication System , UMTS ) 中， 将 UE的移动性状态分成了 Normal (正常 )和 High (高速 ) 两种； 在 LTE系统中进一步将 UE的移动性状态分成了 Normal (正常）、 Medium (中 等）和 High (高速）三种类型。
进一步的上述的距离估计策略可以为： 终端当前服务小区的类型为第 一功率小区时， 若上一个服务小区的类型为第一功率小区且上上一个服务 小区的类型也为第一功率小区时， 则将上一个服务小区的直径作为本次估 算得到的所述终端的移动距离； 否则， 跳过本次对所述移动距离的估算； 终端当前服务小区的类型为第二功率小区时， 则将当前服务小区中心 和上一个服务小区中心之间的距离作为本次估算得到的所述终端的移动距 离；
其中， 所述第一功率小区的功率大于所述第二功率小区的功率。 第一 功率小区主要指传统的大功率小区， 而第二功率小区主要指异构网中的低 功率小区。
本发明实施例提供的技术方案， 通过计算终端在预定时间长度内的总 移动距离， 提供了一种在复杂的网络结构中准确评估终端移动性状态的方 法， 从而能够根据移动性状态为终端配置更加合适的网络参数， 优化了终 端的移动性性能， 提高的网络的整体性能。 下面对本发明又一实施例提供的确定终端移动性状态的方法进行详细 说明。 参见图 5 , 包括如下处理：
步骤 S1 : 确定关于时间长度和阔值等的相关参数。
网络系统可以根据所釆用的距离估计策略和系统的需求确定所需的参 数， 例如， 用于估计移动距离的预定时间长度以及区分终端各个移动性状 态的阔值等。
网络系统确定完上述参数后， 将参数发送给终端， 如 UE, 由 UE根据 该参数计算其在预定时间长度内的总移动距离。
步骤 S2: 利用距离估计策略， 计算终端在预定时间长度内的总移动距 离。
本发明实施例在预定时间长度内利用距离估计策略， 分别计算终端从 一个服务小区到下一个服务小区的移动距离， 叠加所述移动距离得到所述 总移动距离。
本发明实施例可以借助终端在移动中的小区重选（Cell Reselection )、 小 区切换（ Cell Handover )等操作确认终端从一个服务小区移动到下一个服务 小区。
为了使网络做到无缝覆盖， 终端在移动过程当中需要完成的相应操作包括： 终端在空闲状态 ( RRC-IDLE state )下的小区选择（ Cell Selection )、 小区重 选以及终端在连接状态（ RRC-CON ECTED state )下的小区切换等移动性 相关进程。 当终端在空闲状态下执行小区重选或者终端在连接状态下执行 小区切换时， 可以确认终端从一个服务小区移动到了另一个服务小区。 在 下文中， 主要以终端执行小区重选的情况为例进行说明。 但不局限于此， 可以利用任何能够指示终端从一个服务小区移动到另一个服务小区的信息 来触发对终端移动性状态的检测。
在本发明实施例中， 将异构网中的小区分为第一功率小区和第二功率 小区两类。 在本发明的实施例中， 釆用了 "第一"、 "第二" 等字样对功能 和作用基本相同的相同项或相似项进行区分，本领域技术人员可以理解 "第 一"、 "第二" 等字样并对不对数量和执行次序进行限定。
第一功率小区包括传统的大功率小区， 如宏小区（Macro cell ), 第二功 率小区包括异构网中的低功率小区，如微小区（ Micro Cell )和微微小区（ Pico cell ), 为了便于清楚的说明本发明实施例的技术方案， 在本发明实施例中 以第一功率小区为宏小区， 第二功率小区为微微小区为例进行说明， 这时， 在终端执行小区重选（或者小区切换） 时， 根据上一个服务小区和当前服 务小区的类型将终端小区重选（小区切换）的类型可以分为 Macro-to-Macro、 Macro-to-Pico、 Pico-to-Pico和 Pico-to-Macro四种类型， 以下皆以小区重选 的场景为例进行说明。 下面对在这四种类型下， 计算终端移动距离的方法 进行说明， 参见图 6 , 主要包括如下处理步骤：
1 : 当每次终端执行小区重选之后， 发起对终端移动距离的计算。
应当注意到， 当终端处于空闲状态下， 是由小区重选触发上述计算的， 而当终端处于连接状态下时， 是由小区切换触发上述计算的。 本发明实施 例以小区重选的场景为例进行说明。
2: 终端检测并获取该终端所属的当前服务小区的类型， 即判断当前服 务小区是宏小区还是微微小区， 若是宏小区执行步骤 3 , 若是微微小区执行 步骤 4。
3: 若当前服务小区为宏小区， 则终端需要继续判断上一个服务小区的 类型和上上一个服务小区的类型， 即终端需要继续判断终端的上一次小区 重选的类型， 当上一个服务小区的类型为宏小区且上上一个服务小区的类 型也为宏小区时， 即上一次小区重选的类型为 Macro-to-Macro时， 执行步 骤 5 , 当上一个服务小区的类型为微微小区时， 执行步骤 6。
4: 当终端当前移动至一个微微小区， 参见图 7 , 终端的当前服务小区 是一个低功率小区， 则将当前服务小区中心和上一个服务小区中心之间的 距离作为本次估算得到的所述终端的移动距离， 用该移动距离叠加总移动 距离的当前值以更新该总移动距离。
即当终端重选到某个低功率小区时， 不再考虑终端上一次小区重选的 类型， 都用两个小区中心间的距离作为本次估算得到的终端执行本次小区 重选和执行上次小区重选之间的移动距离 （上一个服务小区到当前服务小 区的移动距离）， 并用该移动距离去更新终端最终的移动距离。 可釆用多种 方法计算当前服务小区和上一个服务小区之间的距离， 示例性的， 基站在 向终端发送的系统消息中可以携带服务小区中心的坐标信息， 终端根据当 前服务小区中心的坐标信息和上一个服务小区中心的坐标信息计算上述距 离， 并将该距离作为估算得到的终端的移动距离。
5: 终端的当前服务小区为宏小区时， 且终端的上一个服务小区和上上 一个服务小区都为宏小区，即终端的上一次小区重选类型为 Macro-to-Macro 时， 参见图 8 , 这种情况下， 终端在异构网中移动时穿越某个宏小区同时没 有被重选至或被切换至任何低功率小区， 这时， 将上一个服务小区的直径 作为本次估算得到的该终端的移动距离， 并利用该移动距离叠加总移动距 离的当前值以更新该总移动巨离。
6: 终端的当前服务小区为宏小区时， 且终端上一次小区重选的类型为 Macro-to-Pico, Pico-to-Pico和 Pico-to-Macro , 这时， ϋ过本次对终端移动 距离的估算操作， 也不对终端的总移动距离进行更新。
但是无论终端当前服务小区的类型是哪一种， 都需要对终端当前服务 小区的类型进行记录， 即记录了终端本次的小区重选类型， 同时保存终端 的上一次服务小区， 以便于后续确认终端的移动性状态时能够获知终端本 次的小区重选类型， 根据本次的小区重选类型和下一个服务小区的类型， 计算终端从当前服务小区移动至下一个服务小区的移动距离。
在预定时间长度内， 每次发生小区重选时， 便执行上述的步骤， 用相 应的移动距离更新终端的总移动距离， 然后通过下述操作根据该总移动距 离确定终端的移动性状态。
步骤 S3: 将总移动距离和预定的距离阔值进行比较。
根据对终端的移动性状态划分的种类， 确定上述距离阔值的个数。 例 如， 当将终端的移动性状态分为正常和高速两种时， 设置一个距离阔值即 可； 当将终端的移动性状态分为正常、 中等和高速三种时， 需要设置两个 距离阔值。 本发明实施例以设置第一距离阔值为例进行说明。
步骤 S4: 确定终端的移动性状态。
例如， 当终端的总移动距离大于所述第一距离阔值时， 确定终端的移 动性状态为高速； 当终端的总移动距离小于所述第一距离阔值时， 确定终 端的移动性状态为正常。
为了使网络做到无缝覆盖， 终端在移动过程中会涉及一些相关网络参 数的配置， 如 Treselectl。n (在执行小区重选时对目标小区的信号质量的评估时 间）、 QHyst (目标小区的信号强度大于驻留小区的信号强度的余量）、 触发 时间 （ Time to Trigger , ΤΤΤ )和迟滞值（Hysteresis, Hys )等。 在网络中， 当终端处于不同速度的时候， 为了使移动性性能达到最优这些参数的配置 也应该做相应的调整， 例如当终端处于高速且空闲状态下的时候， 相对于 终端在低速状态下的时候， Treseleetl。n的值应该设的小一点而同时把 Qhys的值 调大一点，使 UE能更加快速的重选到目标小区。 由于本发明实施例提供的 技术方案能够准确地评估终端的移动性状态， 根据该移动性状态更合理配 置上述的这些参数， 从而极大地提高了系统的移动性性能。
本发明实施例提供的技术方案， 通过计算终端在预定时间长度内的总 移动距离， 提供了一种在复杂的网络结构中准确评估终端移动性状态的方 法， 从而能够根据移动性状态为终端配置更加合适的网络参数， 优化了终 端的移动性性能， 提高的网络的整体性能。
本发明又一实施例还提供了一种确定终端移动性状态的方法， 包括： 统计终端在预定时间长度内经过的服务小区数量， 其中， 若当前服务 小区和上一次服务小区属于相同的宏小区覆盖范围内时， 忽略当前服务小 区； 以及， 根据所述服务小区的数量确定所述终端的移动性状态。
上述终端经过的服务小区主要指终端被重选至或被切换至的服务小 区。
在本发明实施例中， 也可以利用小区重选或小区切换统计终端经过的 服务小区的数量， 然而， 当前服务小区和上一次服务小区属于相同的宏小 区覆盖范围内， 不对当前服务小区进行统计。 即只有当终端执行的小区重 选（或小区切换）发生在两个属于不同宏小区覆盖的情况下时， 本次小区 重选（或小区切换） 才会被统计。 为了便于理解 "属于不同的宏小区覆盖"， 下面结合图 9进行说明， 从 图 9中可以看到， a、 b、 c三个低功率小区分别位于不同的宏小区的覆盖范 围内， a和 b在宏小区 d覆盖范围内， c则位于宏小区 e的覆盖范围内。 而 对于宏小区 d和 e认为其被自身覆盖。
进一步的， 可以利用小区识别码（Cell ID )或者其他具有相似功能的 信息判断服务小区所述的宏小区覆盖范围， 若当前服务小区的小区识别信 息和上一次服务小区的小区识别信息相同， 则确认当前服务小区和上一次 服务小区属于相同的宏小区覆盖范围内。 在此， 小区识别信息包括覆盖所 述服务小区的宏小区的小区识别码， 但不局限于此， 上述小区识别信息还 可以包括其它能够指示所述服务 d、区的宏小区的信息。
本发明实施例的具体处理流程可参见图 10,以小区重选为例进行说明， 在每次终端执行完成小区重选之后判断当前服务小区和上一个服务小区的 小区识别信息是否相同， 如果相同的话这忽略此次小区重选， 不同的话统 计当前服务小区， 将终端被重选至或被切换至的小区数量的当前值加 1。
本发明实施例提供的技术方案， 考虑到异构网中不同服务小区的特点， 通过选择性的统计终端在预定时间长度内经过的服务小区的数量， 提供了 一种在复杂的网络结构中准确评估终端移动性状态的方法， 从而能够根据 移动性状态为终端配置更加合适的网络参数， 优化了终端的移动性性能， 提高的网络的整体性能。 本发明又一实施例提供了一种确定终端移动性状态的装置，参见图 11 , 所述装置包括：
移动距离计算单元 111 , 用于利用距离估计策略， 计算终端在预定时间 长度内的总移动距离； 移动性状态确定单元 112, 用于根据所述总移动距离 确定所述终端的移动性状态。
其中， 所述移动距离计算单元 111 , 具体用于在预定时间长度内利用距 离估计策略， 分别估算终端从一个服务小区移动到下一个服务小区的移动 距离， 叠加所述移动距离得到所述总移动距离。
进一步的， 所述移动距离计算单元 111利用的距离估计策略包括： 当前服务小区的类型为第一功率小区时， 若上一个服务小区的类型为 第一功率小区且上上一个服务小区的类型也为第一功率小区时， 则将上一 个服务小区的直径作为本次估算得到的所述终端的移动距离； 否则， 跳过 本次对所述移动距离的估算； 当前服务小区的类型为第二功率小区时， 则 将当前服务小区中心和上一个服务小区中心之间的距离作为本次估算得到 的所述终端的移动距离； 其中， 所述第一功率小区的功率大于所述第二功 率小区的功率。 第一功率小区包括传统的大功率小区， 如宏小区 （Macro cell ), 第二功率小区包括异构网中的低功率小区， 如微小区 （Micro Cell ) 和微微小区 （Pico cell )。
为了能够使上述移动距离计算单元 111及时获知相应服务小区的类型， 成功计算出上述终端的总移动距离， 所述装置还包括小区类型记录单元， 用于记录当前服务小区的类型以及保存上一个服务小区的类型， 以使所述 移动距离计算单元利用所述当前服务小区的类型和所述上一个服务小区的 类型以及下一个服务小区的类型， 对终端从当前服务小区移动至下一个服 务小区的移动距离进行估算。
进一步的， 所述移动性状态确定单元 112, 用于通过将所述总移动距离 和预定的至少一个距离阔值相比较， 确定所述终端的移动性状态。
本发明实施例还提供了一种通信系统， 该系统包括上述的确定终端移 动性状态的装置。
本发明装置实施例中各功能模块和单元的具体工作方式参见本发明方 法实施例。 本发明装置实施例中各功能模块和单元可以单独实现， 也可以 集成在一个或多个单元中实现。 该系统中的确定终端移动性状态的装置参 见本发明装置实施例。
本发明实施例提供的技术方案， 通过计算终端在预定时间长度内的总 移动距离， 提供了一种在复杂的网络结构中准确评估终端移动性状态的方 法， 从而能够根据移动性状态为终端配置更加合适的网络参数， 优化了终 端的移动性性能， 提高的网络的整体性能。 本发明又一实施例提供了一种确定终端移动性状态的装置，参见图 12, 所述装置包括：
小区统计单元 121 ,用于统计终端在预定时间长度内经过的服务小区数 量， 其中， 若当前服务小区和上一次服务小区为属于相同的宏小区覆盖范 围内时， 忽略当前服务小区； 移动性状态确定单元 122, 用于根据所述服 务小区的数量确定所述终端的移动性状态。
进一步的， 所述小区统计单元 121 包括确认模块， 用于若当前服务小 区的小区识别信息和上一次服务小区的小区识别信息相同， 确认当前服务 小区和上一次服务小区属于相同的宏小区覆盖范围内， 其中， 所述小区识 别信息包括覆盖所述月良务小区的宏小区的小区识别码。
本发明实施例还提供了一种通信系统， 该系统包括上述的确定终端移 动性状态的装置。 该系统中的确定终端移动性状态的装置参见本发明装置 实施例。
本发明装置实施例中各功能模块和单元的具体工作方式参见本发明方 法实施例。 本发明装置实施例中各功能模块和单元可以单独实现， 也可以 集成在一个或多个单元中实现。
本发明实施例提供的技术方案， 考虑到异构网中不同服务小区的特点， 通过选择性的统计终端在预定时间长度内经过的服务小区的数量， 提供了 一种在复杂的网络结构中准确评估终端移动性状态的方法， 从而能够根据 移动性状态为终端配置更加合适的网络参数， 优化了终端的移动性性能， 提高的网络的整体性能。
本领域的技术人员可以清楚地了解到本发明实施例可借助软件加必需 的通用硬件平台的方式来实现。 基于这样的理解， 本发明实施例的技术方 案本质上或者说对现有技术做出贡献的部分可以软件产品的形式体现出 来， 该计算机软件产品可以存储在存储介质中， 如 ROM/RAM、 磁碟、 光 盘等， 包括若干指令用以使得一台计算机设备（可以是个人计算机， 服务 器， 或者网络设备等）执行本发明各个实施例或者实施例的某些部分所述 的方法。
以上所述， 仅为本发明的具体实施方式， 但本发明的保护范围并不局限 于此， 任何熟悉本技术领域的技术人员在本发明实施例揭露的技术范围内， 可轻易想到的变化或替换， 都应涵盖在本发明的保护范围之内。 因此， 本 发明的保护范围应以权利要求的保护范围为准。

Claims

权利要求
1、 一种确定终端移动性状态的方法， 其特征在于， 所述方法包括： 基站利用距离估计策略， 计算终端在预定时间长度内的总移动距离； 所述基站根据所述总移动距离确定所述终端的移动性状态。
2、根据权利要求 1所述的方法， 其特征在于， 所述利用距离估计策略， 计算终端在预定时间长度内的总移动距离包括：
所述基站在预定时间长度内， 利用距离估计策略， 分别估算终端从一 个服务小区移动到下一个服务小区的移动距离， 叠加所述移动距离得到所 述总移动距离。
3、 根据权利要求 1或 2所述的方法， 其特征在于， 所述距离估计策略 包括：
当前服务小区的类型为第一功率小区时， 若上一个服务小区的类型为 第一功率小区且上上一个服务小区的类型也为第一功率小区时， 则将上一 个服务小区的直径作为本次估算得到的所述终端的移动距离； 否则， 跳过 本次对所述移动距离的估算；
当前服务小区的类型为第二功率小区时， 则将当前服务小区中心和上 一个服务小区中心之间的距离作为本次估算得到的所述终端的移动距离； 其中， 所述第一功率小区的功率大于所述第二功率小区的功率。
4、 根据权利要求 3所述的方法， 其特征在于， 所述方法还包括： 所述基站记录当前服务小区的类型以及保存上一个服务小区的类型， 以利用所述当前服务小区的类型和所述上一个服务小区的类型以及下一个 服务小区的类型， 对终端从当前服务小区移动至下一个服务小区的移动距 离进行估算。
5、 根据权利要求 1所述的方法， 其特征在于， 所述根据所述总移动距 离确定所述终端的移动性状态包括：
所述基站通过将所述总移动距离和预定的至少一个距离阔值相比较， 确定所述终端的移动性状态。
6、 一种确定终端移动性状态的方法， 其特征在于， 所述方法包括： 统计终端在预定时间长度内经过的服务小区数量， 其中， 若当前服务 区和上一个服务小区属于相同的宏小区覆盖范围内时， 忽略当前服务小 根据所述服务小区的数量确定所述终端的移动性状态。
7、 根据权利要求 6所述的方法， 其特征在于， 所述根据所述服务小区 的数量确定所述终端的移动性状态包括：
当终端的总移动服务小区数量大于预定的数量阔值时， 确定终端的移 动性状态为高速；
当终端的总移动服务小区数量小于所述预定的数量阔值时， 确定终端 的移动性状态为正常。
8、 根据权利要求 6所述的方法， 其特征在于， 所述方法包括： 若当前服务小区的小区识别信息和上一次服务小区的小区识别信息相 同， 则确认当前服务小区和上一次服务小区属于相同的宏小区覆盖范围内， 忽略所述当前服务小区， 其中， 所述小区识别信息包括覆盖所述服务小区 的宏小区的小区识别码。
9、 一种确定终端移动性状态的装置， 其特征在于， 所述装置包括： 移动距离计算单元， 用于利用距离估计策略， 计算终端在预定时间长 度内的总移动距离；
移动性状态确定单元， 用于根据所述总移动距离确定所述终端的移动 性状态 (
10、 根据权利要求 9所述的装置， 其特征在于，
所述移动距离计算单元， 具体用于在预定时间长度内， 利用距离估计 策略， 分别估算终端从一个服务小区移动到下一个服务小区的移动距离， 叠加所述移动距离得到所述总移动距离。
11、 根据权利要求 9所述的装置， 其特征在于，
所述移动距离计算单元利用的距离估计策略包括：
当前服务小区的类型为第一功率小区时， 若上一个服务小区的类型为 第一功率小区且上上一个服务小区的类型也为第一功率小区时， 则将上一 个服务小区的直径作为本次估算得到的所述终端的移动距离； 否则， 跳过 本次对所述移动距离的估算；
当前服务小区的类型为第二功率小区时， 则将当前服务小区中心和上 一个服务小区中心之间的距离作为本次估算得到的所述终端的移动距离； 其中， 所述第一功率小区的功率大于所述第二功率小区的功率。
12、 根据权利要求 11所述的装置， 其特征在于， 所述装置还包括小区 类型记录单元，
所述小区类型记录单元， 用于记录当前服务小区的类型以及保存上一 个服务小区的类型， 以使所述移动距离计算单元利用所述当前服务小区的 类型和所述上一个服务小区的类型以及下一个服务小区的类型， 对终端从 当前服务小区移动至下一个服务小区的移动距离进行估算。
13、 根据权利要求 9所述的装置， 其特征在于，
所述移动性状态确定单元， 用于通过将所述总移动距离和预定的至少 一个距离阔值相比较， 确定所述终端的移动性状态。
14、 一种确定终端移动性状态的装置， 其特征在于， 所述装置包括： 小区统计单元， 用于统计终端在预定时间长度内经过的服务小区数量， 其中， 若当前服务小区和上一次服务小区属于相同的宏小区覆盖范围内时， 忽略当前服务小区；
移动性状态确定单元， 用于根据所述服务小区的数量确定所述终端的 移动性状态。
15、 根据权利要求 14所述的装置， 其特征在于， 所述移动性状态确定 单元用于：
当终端的总移动服务小区数量大于预定的数量阔值时， 确定终端的移 动性状态为高速；
当终端的总移动服务小区数量小于所述预定的数量阔值时， 确定终端 的移动性状态为正常。
16、 根据权利要求 15所述的装置， 其特征在于， 所述小区统计单元 包括确认模块， 所述确认模块， 用于若当前服务小区的小区识别信息和上 一次服务小区的小区识别信息相同，确认当前服务小区和上一次服务小区 属于相同的宏小区覆盖范围内， 其中， 所述小区识别信息包括覆盖所述服 务小区的宏小区的小区识别码。
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