WO2012106962A1 - 一种切换参数优化方法及系统 - Google Patents

一种切换参数优化方法及系统 Download PDF

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Publication number
WO2012106962A1
WO2012106962A1 PCT/CN2011/082226 CN2011082226W WO2012106962A1 WO 2012106962 A1 WO2012106962 A1 WO 2012106962A1 CN 2011082226 W CN2011082226 W CN 2011082226W WO 2012106962 A1 WO2012106962 A1 WO 2012106962A1
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Prior art keywords
cell
density function
handover
cdf
cumulative density
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PCT/CN2011/082226
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English (en)
French (fr)
Inventor
董玥昕
徐云翔
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中兴通讯股份有限公司
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Priority to EP11858281.6A priority Critical patent/EP2663118A4/en
Publication of WO2012106962A1 publication Critical patent/WO2012106962A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/04—Arrangements for maintaining operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0055—Transmission or use of information for re-establishing the radio link
    • H04W36/0069—Transmission or use of information for re-establishing the radio link in case of dual connectivity, e.g. decoupled uplink/downlink
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0055—Transmission or use of information for re-establishing the radio link
    • H04W36/0079—Transmission or use of information for re-establishing the radio link in case of hand-off failure or rejection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/00837—Determination of triggering parameters for hand-off
    • H04W36/008375—Determination of triggering parameters for hand-off based on historical data

Definitions

  • the present invention relates to the field of wireless communications, and in particular, to a handover parameter optimization method and system. Background technique
  • SON Self-Organizing and Self-Optimization Network
  • the SON function requires self-configuration, self-optimization, and self-healing.
  • the self-configuration process means that the newly deployed node learns the necessary basic system operation configuration through the "automatic installation process" to realize automatic configuration; the self-optimization process utilizes the user.
  • the results measured by the User Equipment (UE) automatically adjust the network; the self-healing process automatically detects and locates most problematic areas, and solves the problem through a self-healing mechanism.
  • UE User Equipment
  • MRO Mobility Robustness Optimization
  • the strategy for self-optimization of handover parameters is usually after determining the faults occurring in the cell, the Operation Administration and Maintenance (OAM) center will revise the relevant parameters according to the type of the fault, and usually adopts a stepwise revision.
  • the strategy attempts the mode one by one, so the optimization speed is slower and the accuracy is lower, so the self-optimization performance is lower.
  • the main object of the present invention is to provide a switching parameter optimization method and system, which can improve the optimization speed, improve the optimization accuracy, and thereby improve the self-optimization performance.
  • a switching parameter optimization method the network side obtains a cumulative density function curve CDF(i) of the corresponding measurement quantity of the small area switching area according to the measured value reported by the user equipment UE, where i represents the type of the measured quantity, and the method includes:
  • the network side determines the cell failure according to the area of the area surrounded by the cumulative density function curve CDF(i) of the measurement amount reported by the cell and the threshold value curve RLFthrd(i) of the measured quantity. Degree;
  • the network side revise the corresponding handover parameter according to the fault degree of the cell, so that
  • the measured quantity is reference signal received power RSRP or reference signal received quality RSRQ.
  • the mobility fault is that the handover is too late, the handover is too early, or the handover to the wrong cell.
  • the handover parameters include one or more of the following: cell-specific offset CIO, hysteresis parameter, trigger time TTT, measurement event offset, measurement event threshold, measurement report interval, measurement report quantity.
  • the network side sets the maximum number of sample points of the cumulative density function curve CDF(i) of the measured quantity, and the network side obtains the accumulated measurement amount of the cell switching area according to the measured value reported by the UE.
  • the product density function curve CDF(i) is:
  • the corresponding cumulative density function curve CDF(i) is updated according to the maximum number of sample points and the measured value reported by the UE.
  • a switching parameter optimization system comprising: a cumulative density function curve acquisition unit, a cell failure degree determination unit, and a handover parameter modification unit;
  • the cumulative density function curve obtaining unit is configured to obtain a cumulative density function curve CDF(i) of the corresponding measurement amount of the small area switching area according to the measured value reported by the UE, where i represents the type of the measured quantity;
  • the cell failure degree determining unit is configured to set, according to the cumulative density function curve acquiring unit, the cumulative density function curve CDF(i) of the cell-received measurement quantity acquired by the cumulative density function curve acquiring unit and the measured quantity when the cell has a mobility fault
  • the area of the area enclosed by the threshold curve RLFthrd(i) determines the extent of the cell failure
  • the handover parameter modification unit is configured to modify the corresponding handover parameter according to the fault degree of the cell determined by the cell failure degree determination unit, so that the RLFthrd(i) curve and
  • the area enclosed by the CDF(i) curve is reduced by d.
  • the cumulative density function curve obtaining unit obtains a cumulative density function curve CDF(i) of the corresponding measurement quantity of the cell switching area according to the measured value reported by the UE as follows: according to the reference signal received power RSRP or the reference signal received quality RSRQ reported by the UE, correspondingly obtained Cumulative density function curve
  • the cell failure degree determining unit determines the degree of the cell failure when the cell has a mobility fault: determining the degree of the cell failure when the handover is too late, the handover is too early, or when the handover to the wrong cell is performed.
  • the switching parameter of the handover parameter revision unit revision is one or more of the following: cell-specific offset CIO, hysteresis parameter, trigger time TTT, measurement event offset, measurement event threshold, measurement report interval, measurement report quantity.
  • the cumulative density function curve acquiring unit is further configured to set a cumulative density function of the measured quantity
  • the maximum number of sample points of the curve CDF(i), and the corresponding cumulative density function curve CDF(i) is updated according to the maximum number of sample points and the measured value reported by the UE.
  • the network side obtains a cumulative density function curve CDF(i) of a corresponding measurement quantity of a cell handover area according to a measurement value reported by the UE, and when the cell has a mobility fault, the network side reports the cell according to the cell.
  • the area of the area surrounded by the cumulative density function curve CDF(i) of the measured quantity and the threshold value curve RLFthrd(i) of the measured quantity determines the degree of the cell failure; the network side according to the degree of failure of the cell,
  • the corresponding switching parameters are revised such that the area of the area enclosed by the RLFthrd(i) curve and the CDF(i) curve is reduced.
  • the embodiment determines the parameters to be revised and the degree of revision of each parameter according to the degree of the handover fault, and the cell only needs to adjust all the parameters once, so that the fault can be optimized, thereby enabling the fault to be optimized. Improve optimization speed while improving self-optimization performance.
  • FIG. 1 is a schematic flow chart of a method for optimizing a handover parameter according to the present invention
  • FIG. 2 is a schematic diagram of a process of moving a UE in a network according to Embodiment 1 of the present invention
  • FIG. 3A is a schematic diagram of signal quality distribution before optimization in Embodiment 1 of the present invention.
  • FIG. 3B is a schematic diagram of signal quality distribution after optimization in Embodiment 1 of the present invention.
  • FIG. 4 is a schematic diagram of a process of moving a UE in a network according to Embodiment 2 of the present invention.
  • 5A is a schematic diagram of signal quality distribution before optimization in Embodiment 2 of the present invention.
  • FIG. 5B is a schematic diagram of signal quality distribution after optimization in Embodiment 1 of the present invention.
  • FIG. 6 is a schematic diagram of a process of moving a UE in a network according to Embodiment 3 of the present invention.
  • FIG. 7 is a schematic diagram of signal quality distribution before optimization in Embodiment 3 of the present invention. detailed description
  • the object of the present invention is to provide a switching parameter optimization method, which is based on the essential problem of the MRO fault, and quantitatively analyzes the degree of the fault by a statistical method, and finally can effectively improve the cell cut. Change the speed and accuracy of the parameter self-optimization.
  • FIG. 1 is a schematic flowchart of the switching parameter optimization method according to the embodiment of the present invention, as shown in FIG. Methods include:
  • Step 101 The network side obtains a cumulative density function curve CDF(i) of each measurement quantity of the cell handover area according to the measured value reported by the UE, where i represents the type of the measurement quantity.
  • the network side continuously collects and summarizes the measured values reported by the UE when the measurement event is satisfied, and obtains the cumulative density function curve CDF of the corresponding measurement quantity in the cell switching area by using the collected measured values.
  • the measured quantity is generally reference signal received power (RSRP, Reference Signal Receiving Power), reference signal received quality (RSRQ, Reference Signal Received Quality), and the like.
  • the maximum number of sample points of the cumulative density function curve CDF(i) of each measurement quantity may be set, and the corresponding cumulative density function curve CDF is obtained according to the maximum number of sample points and the measured value reported by the UE. i) to update, when the number of sample points in the cumulative density function curve CDF(i) is greater than the set maximum number of sample points, discard the earliest collected sample points, so that the sample in the cumulative density function curve CDF(i) The number of points is not greater than the maximum number of sample points set.
  • the maximum number of sample points can be set according to experience or actual needs.
  • Step 102 A mobility fault occurs in the cell.
  • the mobility fault may be that the handover is too late, the handover is too early, or the handover to the error cell or the like.
  • Step 103 Determine the degree of the cell failure according to the area of the area surrounded by the cumulative density function curve CDF(i) of the measured amount of the cell and the threshold value curve RLFthrd(i) of the measured quantity.
  • the network side determines, according to the wireless environment of the different cell and the measurement information retained by the UE during the RLF, the threshold value of the different measurement quantity when the UE generates the RLF in the cell, and records RLFthrd(i), i denotes the type of measurement quantity, which is configured by the system and sent to the UE through air interface signaling.
  • CDF(i) and RLFthrd(i) refers to the area encompassed by the left side of RLFthrd(i) and the CDF(i) curve.
  • Step 104 Revise the corresponding switching parameter according to the fault degree of the cell, so that the area of the area surrounded by the RLFthrd(i) curve and the CDF(i) curve is decreased by d.
  • the handover parameter may include one or more of the following: Cell Specific Offset (CIO), Hysteresis Parameter, TTT (Time To Trigger), Measurement Event Offset, Measurement Event Threshold, Measurement Report interval, number of measurement reports, etc.
  • CIO Cell Specific Offset
  • TTT Time To Trigger
  • Measurement Event Offset Measurement Event Threshold
  • Measurement Report interval number of measurement reports, etc.
  • the update of the CDF(i) curve on the network side is not interrupted by the mobility fault of the cell. As long as the UE reports the measured value when the measurement event is satisfied, the network side updates the corresponding CDF(i).
  • the present invention further provides a handover parameter optimization system, the system comprising: a cumulative density function curve acquisition unit, a cell failure degree determination unit, and a handover parameter revision unit; wherein the cumulative density function curve acquisition unit is set to be based on the UE The reported measured value obtains a cumulative density function curve CDF(i) of the corresponding measured quantity in the cell switching area, where i represents the type of the measured quantity;
  • the cell failure degree determining unit is configured to set, according to the cumulative density function curve acquiring unit, the cumulative density function curve CDF(i) of the cell-received measurement quantity acquired by the cumulative density function curve acquiring unit and the measured quantity when the cell has a mobility fault
  • the area of the area enclosed by the threshold curve RLFthrd(i) determines the extent of the cell failure
  • the handover parameter modification unit is set to be determined according to the cell failure degree determination unit
  • the degree of failure of the cell is modified, and the corresponding switching parameters are revised so that the area of the area surrounded by the RLFthrd(i) curve and the CDF(i) curve is decreased by d.
  • the cumulative density function curve obtaining unit obtains a cumulative density function curve CDF(i) of the corresponding measurement quantity of the cell switching area according to the measured value reported by the UE as follows: according to the reference signal received power RSRP or the reference signal received quality RSRQ reported by the UE, correspondingly obtained Cumulative density function curve CDF(i).
  • the cell failure degree determining unit determines the degree of the cell failure when the cell has a mobility fault: determining the degree of the cell failure when the handover is too late, the handover is too early, or when the handover to the wrong cell is performed.
  • the switching parameter of the handover parameter revision unit revision is one or more of the following: cell-specific offset CIO, hysteresis parameter, trigger time ⁇ , measurement event offset, measurement event threshold, measurement report interval, measurement report quantity.
  • the cumulative density function curve obtaining unit is further configured to set a maximum number of sample points of the cumulative density function curve CDF(i) of the measured quantity, and correspondingly accumulate according to the maximum number of sample points and the measured value reported by the UE.
  • the density function curve CDF(i) is updated.
  • This embodiment describes a scenario in which the UE is switched too late.
  • the UE moves in the network as shown in FIG. 2.
  • the UE moves from the cell A (source cell) to the cell B (target cell), and the UE occurs at the location where the UE is located. RLF.
  • the UE has an RLF when switching from cell A to cell B;
  • the handover measurement quantity in the current cell A is the RSRP, so the cell A calls the cumulative density function curve CDF (RSRP) obtained by the measurement quantity RSRP reported by the UE in the handover area of the cell; 13) according to the wireless scenario of the current cell, according to the threshold setting of the radio link failure in the protocol specification, the RSRP threshold RLFthrd A (RSRP) when the RLF in the wireless environment of the cell is obtained;
  • RSRP cumulative density function curve
  • Cell A determines that the UE has an RLF failure because the handover parameter of cell A does not match the moving speed of most UEs.
  • the degree of failure can also be seen from Figure 3A.
  • the switching parameters related to the adjustment and the moving speed including the switching trigger time and the switching hysteresis value, and the step sizes of the two parameters are revised to ensure the effect of the combination.
  • the overall distribution of the RSRP value of the cell A handover area can be shifted to the right by more than 3 dB to cope with the scenario where the UE moves at a high speed;
  • Cell A informs OAM of the comprehensive solution for parameter optimization, including the parameters that need to be revised.
  • the OAM After evaluating the enforceability of the parameter optimization, the OAM notifies the cell A to modify according to the specified value;
  • This embodiment describes a scenario in which the UE is switched too early.
  • the UE moves in the network as shown in FIG. 4.
  • the cell A source cell
  • the measurement condition is met
  • the cell 8 target cell
  • the cell A initiates the handover procedure of the UE from the cell A to the cell B according to the measurement report of the UE.
  • the RLF occurs, and the cell reselection returns to the cell A again.
  • This embodiment mainly includes the following steps: 21) The UE generates an RLF after switching from the cell A to the cell B;
  • the cell B determines, by the UE reestablishment message, that the UE has a fault in the cell A that the handover is too early, and then sends a fault message indicating that the cell A has changed too early through the HANDOVER REPORT message on the X2 port to the cell A;
  • the handover measurement delivered by cell A is RSRP, and the UE appears in cell B.
  • the cell A calls the cumulative density function curve CDF (RSRP) of the measured quantity RSRP of the cell B reported by the UE in the handover area in the cell history information, and the cell B is in the wireless scenario of the current cell, according to the protocol specification
  • RSRP cumulative density function curve
  • the threshold of the link failure can be deduced to derive the RSRP threshold RLFthrd B (RSRP) when the cell BRLF is obtained;
  • the comparison curve CDF (RSRP) and RLFthrd_B (RSRP) (as shown in FIG. 5A), it is found that in the handover area, the distribution curve of the cell B signal quality reported by the UE in the cell is about 90% within the RLFthrd B (RSRP). That is, the handover threshold of the cell A to the cell B configured by the cell A is relatively low, and the UE reports the measurement result when the signal of the cell B is weak, so that the UE that is faulty has a problem of switching too early;
  • the cell-specific offset value before the cell A and the cell B is low, so that the UE can easily switch to the cell B, and the optimization strategy that needs to be used is to make the cell
  • the offset value between the two becomes larger, so that the number of the RSRP CDF curve of the cell B is less than 30% within the RLFthrd-B (RSRP), because the UE has a tendency to move the cell B during the mobile process, so the door
  • the limit value may be slightly larger than the current cell; 26) according to the optimization strategy, the need for the cell A to be used to optimize the offset value between the cell A and the cell B, so that the parameters to be revised are notified to the OAM, and the OAM is optimized in the evaluation parameters. After the enforceability, the cell A and the cell B are notified to modify according to the specified value;
  • Example 3 This embodiment describes a scenario in which a UE switches to an error cell.
  • the UE moves in the network as shown in FIG. 6.
  • the cell A source cell
  • the measurement condition is met
  • the cell B target cell
  • the cell A initiates the handover procedure of the UE from the cell A to the cell B according to the measurement report of the UE, but the RLF occurs when the UE just completes the handover to the cell B, but accesses the cell when re-accessing the system.
  • the UE has an RLF after switching from cell A to cell B, and is reconstructed in cell C;
  • the cell B determines, according to the RLF INFORMATION information indicated by the X2 port of the cell C, that the UE has failed to switch to the wrong cell in the cell A, and then the fault information is sent to the cell A through the HANDOVER REPORT message of the X2 port;
  • the handover measurement quantity sent by the cell A is the RSRQ
  • the UE has the RLF appearing in the cell B
  • the connection is re-established to the cell C. Therefore, the cell A calls the measurement about the cell B and the cell C reported by the UE in the history of the handover area.
  • the failure of the UE to switch to the wrong cell is caused by the unreasonable configuration of the cell offset value between the cell A and the cell B and the cell C.
  • the optimization strategy adopted only needs to make the UE easier. Switching to cell C instead of cell B, so that the offset value of cell B and cell C is adjusted in cell A, so that the offset value of cell C is 3 dB smaller than cell C;
  • Cell A informs OAM of the comprehensive solution for parameter optimization, including the parameters that need to be revised. After evaluating the enforceability of the parameter optimization, the OAM notifies the cell A to modify according to the specified value; 37) After the network is running for a period of time, the evaluation result of the new parameter is obtained.
  • this method can provide an effective switching parameter optimization strategy.
  • This method can realize fast and accurate switching parameter optimization of MRO multiple fault scenarios, and with the system's use time becoming longer, reliability It will become higher and higher, which will greatly reduce the difficulty of network fault detection and optimization.
  • the network side obtains a cumulative density function curve CDF(i) of the corresponding measurement quantity of the cell handover area according to the measured value reported by the UE, and when the cell has a mobility fault, the network side according to the The area of the area surrounded by the cumulative density function curve CDF(i) of the measured amount of the cell and the threshold value curve RLFthrd(i) of the measured quantity determines the degree of the cell failure; the network side according to the degree of failure of the cell The corresponding switching parameters are revised such that the area of the area surrounded by the RLFthrd(i) curve and the CDF(i) curve is reduced.
  • the embodiment determines the parameter to be revised and the degree of revision of each parameter according to the degree of the handover fault, and the cell only needs to adjust all the parameters at one time to implement the fault. Optimization, which can improve the optimization speed, but also improve the self-optimization performance.

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Abstract

本发明公开了一种切换参数优化方法，网络侧根据用户设备（UE）上报的测量值得到小区切换区域相应测量量的累积密度函数曲线CDF(i)，小区出现移动性故障时，网络侧根据所述小区上报测量量的累积密度函数曲线CDF(i)与所述测量量的门限值曲线RLFthrd(i)所包围的区域的面积确定所述小区故障的程度；网络侧根据所述小区的故障程度，对相应的切换参数进行修订，使得RLFthrd(i)曲线和CDF(i)曲线所包围的区域的面积减小。本发明还相应地公开了一种切换参数优化系统。本发明在UE上报的统计结果的基础上，根据切换故障的程度，确定需要修订的参数以及各个参数修订的程度，从而能够提高优化速度，同时也能提高自优化性能。

Description

一种切换参数优化方法及系统 技术领域
本发明涉及无线通信领域， 尤其涉及一种切换参数优化方法及系统。 背景技术
在 LTE系统中， 网络参数数目庞大， 相关性强， 具有较高的复杂性。 此外系统要求新加入基站的配置和管理需要最少的人工介入这些都对对网 络的操作和维护提出了新的要求。 为了解决上述问题， 自组织自优化网络 ( Self-Organizing and Self-Optimization Network, SON )被提出并被认为是 降低成本和操作复杂性的最有效手段。 SON功能要求做到自配置、 自优化、 自治愈， 其中， 自配置过程即新部署的节点通过 "自动安装过程" 自主获 知必要的基本系统操作配置， 从而实现自动配置； 自优化过程即利用用户 设备 ( User Equipment, UE )测量的结果对网络进行自动调整； 自治愈过程 即自动检测并定位大多数有问题的地方， 并通过自治愈机制来解决问题。
SON能够在很大程度上降低成本和操作复杂性， 因此第三代合作伙伴 计划（ 3rd Generation Partnership Proj ect , 3 GPP )组织一直致力于将 SON？ I 入到 LTE标准中， 并越来越受到重视。 目前 3GPP已经将 SON中的自配置 和自优化详细分解成多个功能并对各个功能进行了详细的描述， 指出了所 要实现的目标。 其中移动鲁棒性优化 ( Mobility Robustness Optimization, MRO ) 的主要目标就是解决切换过程中常见的故障， 如切换过早、 切换过 晚、 切换到错误小区等。 由于在 LTE系统中进行的切换都是硬切换， 这样 UE的测量报告触发了切换流程后，一旦 UE发生无线链路失败（Radio Link Failure, RLF ), UE 就不会有后备的通信链路， 只能掉话。 因此 UE发生 RLF是 SON中 MRO关注的重点， 也是在切换参数配置的过程中， 需要尽 量避免的问题。
目前， 对于切换参数自优化的策略通常是在确定了小区中出现的故障 后， 操作管理维护 ( Operation Administration and Maintenance, OAM ) 中心 会根据故障类型去修订相关的参数， 并且通常采用步进式修订策略逐个参 数依次尝试的模式， 因此优化速度较慢、 准确性较低， 从而自优化性能较 低。 发明内容
有鉴于此， 本发明的主要目的在于提供一种切换参数优化方法及系统， 能够提高优化速度、 提高优化准确性， 从而提高自优化性能。
为达到上述目的， 本发明的技术方案是这样实现的：
一种切换参数优化方法，网络侧根据用户设备 UE上报的测量值得到小 区切换区域相应测量量的累积密度函数曲线 CDF(i), 其中， i表示测量量的 类型， 该方法包括：
小区出现移动性故障时， 网络侧根据所述小区上报测量量的累积密度 函数曲线 CDF(i)与所述测量量的门限值曲线 RLFthrd(i)所包围的区域的面 积确定所述小区故障的程度；
网络侧根据所述小区的故障程度， 对相应的切换参数进行修订， 使得
RLFthrd(i)曲线和 CDF(i)曲线所包围的区域的面积减小。
所述测量量为参考信号接收功率 RSRP或参考信号接收质量 RSRQ。 所述移动性故障为切换过晚、 切换过早或者切换到错误小区。
所述切换参数包括以下一项或多项： 小区专用偏移 CIO、 迟滞参数、 触发时间 TTT、 测量事件偏移、 测量事件门限、 测量报告间隔、 测量报告 数量。
网络侧设置测量量的累积密度函数曲线 CDF(i)的最大样本点个数， 所述网络侧根据 UE 上报的测量值得到小区切换区域各个测量量的累 积密度函数曲线 CDF(i)为： 根据所述最大样本点个数及 UE上报的测量值 对相应的累积密度函数曲线 CDF(i)进行更新。
一种切换参数优化系统， 包括： 累积密度函数曲线获取单元、 小区故 障程度确定单元和切换参数修订单元； 其中，
所述累积密度函数曲线获取单元，设置为根据 UE上报的测量值得到小 区切换区域相应测量量的累积密度函数曲线 CDF(i), 其中， i表示测量量的 类型；
所述小区故障程度确定单元， 设置为在小区出现移动性故障时， 根据 所述累积密度函数曲线获取单元获取的所述小区上报测量量的累积密度函 数曲线 CDF(i)与所述测量量的门限值曲线 RLFthrd(i)所包围的区域的面积 确定所述小区故障的程度；
所述切换参数修订单元， 设置为根据小区故障程度确定单元确定的所 述小区的故障程度， 对相应的切换参数进行修订， 使得 RLFthrd(i)曲线和
CDF(i)曲线所包围的区域的面积减 d、。
所述累积密度函数曲线获取单元根据 UE 上报的测量值得到小区切换 区域相应测量量的累积密度函数曲线 CDF(i)为： 根据 UE上报的参考信号 接收功率 RSRP或参考信号接收质量 RSRQ得到相应的累积密度函数曲线
CDF(i)。
所述小区故障程度确定单元在小区出现移动性故障时确定所述小区故 障的程度为： 在切换过晚、 切换过早或者切换到错误小区时， 确定所述小 区故障的程度。
所述切换参数修订单元修订的切换参数为以下一项或多项： 小区专用 偏移 CIO、 迟滞参数、 触发时间 TTT、 测量事件偏移、 测量事件门限、 测 量报告间隔、 测量报告数量。
所述累积密度函数曲线获取单元， 还设置为设置测量量的累积密度函 数曲线 CDF(i)的最大样本点个数， 并根据所述最大样本点个数及 UE上报 的测量值对相应的累积密度函数曲线 CDF(i)进行更新。
本发明实施例切换参数优化方法及系统，网络侧根据 UE上报的测量值 得到小区切换区域相应测量量的累积密度函数曲线 CDF(i), 小区出现移动 性故障时， 网络侧根据所述小区上报测量量的累积密度函数曲线 CDF(i)与 所述测量量的门限值曲线 RLFthrd(i)所包围的区域的面积确定所述小区故 障的程度； 网络侧根据所述小区的故障程度， 对相应的切换参数进行修订， 使得 RLFthrd(i)曲线和 CDF(i)曲线所包围的区域的面积减小。本发明实施例 在 UE上报的统计结果的基础上，根据切换故障的程度，确定需要修订的参 数以及各个参数修订的程度， 小区只需要一次调整所有的参数， 就能实现 故障的优化， 从而能够提高优化速度， 同时也能提高自优化性能。 附图说明
图 1为本发明所述切换参数优化方法流程示意图；
图 2为本发明实施例 1中 UE在网络中的移动过程示意图；
图 3A为本发明实施例 1中优化前的信号质量分布示意图；
图 3B为本发明实施例 1中优化后的信号质量分布示意图；
图 4为本发明实施例 2中 UE在网络中的移动过程示意图；
图 5A为本发明实施例 2中优化前的信号质量分布示意图；
图 5B为本发明实施例 1中优化后的信号质量分布示意图；
图 6为本发明实施例 3中 UE在网络中的移动过程示意图；
图 7为本发明实施例 3中优化前的信号质量分布示意图。 具体实施方式
本发明的目的是给出一种切换参数优化方法，从 MRO故障的本质问题 出发， 通过统计的方法来定量分析故障的程度， 最终可以有效提高小区切 换参数自优化的速度和准确性。
本发明实施例所述切换参数优化方法及系统， 主要根据切换参数自优 化的应用特点和相关需求提出， 图 1 为本发明实施例所述切换参数优化方 法流程示意图， 如图 1所示， 该方法包括：
步驟 101 : 网络侧根据 UE上报的测量值得到小区切换区域各个测量量 的累积密度函数曲线 CDF(i), 其中， i表示测量量的类型。
具体的，在小区运行过程中， 网络侧不断收集和汇总 UE在满足测量事 件时上报的测量值， 并通过这些收集到的测量值， 得到小区切换区域相应 测量量的累积密度函数曲线 CDF(i), 所述测量量一般为参考信号接收功率 ( RSRP, Reference Signal Receiving Power ), 参考信号接收质量（RSRQ, Reference Signal Received Quality )等。
需要说明的是， 可以设置各个测量量的累积密度函数曲线 CDF(i)的最 大样本点个数，并根据所述最大样本点个数及 UE上报的测量值对相应的累 积密度函数曲线 CDF(i)进行更新， 当累积密度函数曲线 CDF(i)中的样本点 个数大于设置的最大样本点个数时， 丟弃最早采集的样本点， 使累积密度 函数曲线 CDF(i)中的样本点个数不大于设置的最大样本点个数。 所述最大 样本点个数可以根据经验或实际需求进行设定。
步驟 102: 小区出现移动性故障。
这里， 所述移动性故障可以为切换过晚、 切换过早或者切换到错误小 区等。
步驟 103:根据所述小区上报测量量的累积密度函数曲线 CDF(i)与所述 测量量的门限值曲线 RLFthrd(i)所包围的区域的面积确定所述小区故障的 程度。
这里， 网络侧根据不同小区的无线环境以及 UE在 RLF时保留的测量 信息， 确定在这个小区中 UE发生 RLF 时， 不同测量量的门限值， 记为 RLFthrd(i), i表示测量量的类型， 这个量由系统配置， 通过空口信令发送 给 UE。
CDF(i)与 RLFthrd(i)所包围的区域指 RLFthrd(i)左侧和 CDF(i)曲线所包 括的区域。
步驟 104: 根据所述小区的故障程度， 对相应的切换参数进行修订， 使 得 RLFthrd(i)曲线和 CDF(i)曲线所包围的区域的面积减 d、。
这里， 所述切换参数可以包括以下一项或多项： 小区专用偏移 （CIO, Cell Individual Offset ), 迟滞参数、 触发时间 （ TTT, Time To Trigger )、 测 量事件偏移、 测量事件门限、 测量报告间隔、 测量报告数量等。 在对切换 参数进行修订时， 可以一次性修改一个或者多个参数的组合， 修改的步长 根据小区故障的程度来决定，修订的结果能够减小 RLFthrd(i)左侧和 CDF(i) 曲线所包括的区域的面积。
需要说明的是， 网络侧对 CDF(i)曲线的更新不因小区出现移动性故障 而中断，只要 UE在满足测量事件时上报测量值， 网络侧就对相应的 CDF(i) 进行更新。
本发明还相应地提出一种切换参数优化系统， 该系统包括： 累积密度 函数曲线获取单元、 小区故障程度确定单元和切换参数修订单元； 其中， 所述累积密度函数曲线获取单元，设置为根据 UE上报的测量值得到小 区切换区域相应测量量的累积密度函数曲线 CDF(i), 其中， i表示测量量的 类型；
所述小区故障程度确定单元， 设置为在小区出现移动性故障时， 根据 所述累积密度函数曲线获取单元获取的所述小区上报测量量的累积密度函 数曲线 CDF(i)与所述测量量的门限值曲线 RLFthrd(i)所包围的区域的面积 确定所述小区故障的程度；
所述切换参数修订单元， 设置为根据小区故障程度确定单元确定的所 述小区的故障程度， 对相应的切换参数进行修订， 使得 RLFthrd(i)曲线和 CDF(i)曲线所包围的区域的面积减 d、。
所述累积密度函数曲线获取单元根据 UE 上报的测量值得到小区切换 区域相应测量量的累积密度函数曲线 CDF(i)为： 根据 UE上报的参考信号 接收功率 RSRP或参考信号接收质量 RSRQ得到相应的累积密度函数曲线 CDF(i)。
所述小区故障程度确定单元在小区出现移动性故障时确定所述小区故 障的程度为： 在切换过晚、 切换过早或者切换到错误小区时， 确定所述小 区故障的程度。
所述切换参数修订单元修订的切换参数为以下一项或多项： 小区专用 偏移 CIO、 迟滞参数、 触发时间 τττ、 测量事件偏移、 测量事件门限、 测 量报告间隔、 测量报告数量。
所述累积密度函数曲线获取单元， 还设置为设置测量量的累积密度函 数曲线 CDF(i)的最大样本点个数， 并根据所述最大样本点个数及 UE上报 的测量值对相应的累积密度函数曲线 CDF(i)进行更新。
下面结合具体实施例对本发明的方案做进一步详细说明。 实施例 1 :
本实施例描述 UE切换过晚的场景， UE在网络中的移动过程如图 2所 示， 图中 UE从小区 A (源小区）移动到小区 B (目标小区）， UE在所在的 位置发生了 RLF。
本实施例主要包括以下步驟：
11 ) UE在从小区 A切换到小区 B时发生了 RLF;
12 ) 当前小区 A中切换测量量是 RSRP, 因此小区 A调出本小区切换 区域中通过 UE 历史上报的测量量 RSRP得到的累积密度函数曲线 CDF (RSRP); 13 )根据当前小区的无线场景， 按照协议规范中对无线链路失败的门 限设定， 得到在本小区无线环境下的 RLF 时的 RSRP 门限值 RLFthrd A(RSRP);
14 )对比曲线 CDF (RSRP)和 RLFthrd— A(RSRP) (如图 3A所示）， 发现 在切换区域，本小区中 UE上报的切换区中本小区 RSRP的概率密度函数曲 线约有 70%在 RLFthrd— A(RSRP)以内， 这个数值表明小区故障程度比较严 重， 即小区的切换参数配置比较不合理， 需要调整切换参数， 使得和本小 区 RSRP的 CDF曲线在 RLFthrd— A(RSRP)以内的数量减小到 10%以内；
15 )小区 A确定 UE发生 RLF故障是因为小区 A的切换参数和大多数 UE的移动速度不匹配， 从图 3A也可以看出故障的程度。
16 )根据预先配置的优化策略和小区故障的程度， 确定需要调整和移 动速度相关的切换参数， 包括切换触发时间和切换迟滞值， 同时这两个参 数修订的步长要能保证他们组合的效果能让小区 A切换区的 RSRP值的整 体分布向右移动 3dB以上， 以应对 UE高速移动的场景；
17 ) 小区 A将参数优化的综合方案， 包括需要修订的参数通知 OAM,
OAM在评估参数优化的可执行性后通知小区 A按照指定的取值进行修改；
18 )待网络运行一段时间后， 得到新参数的评估结果。 在本实施例中 的修订后的结果如图 3B所示。 实施例 2:
本实施例描述 UE切换过早的场景， UE在网络中的移动过程如图 4所 示， UE在小区 A (源小区）中移动时， 满足了测量条件， 上 ^艮了小区8 (目 标小区）， 于是小区 A根据 UE的测量报告， 发起了 UE从小区 A到小区 B 的切换流程， 但是 UE刚完成到小区 B的切换， 就发生了 RLF, 经过又一 次的小区重选回到了小区 A。
本实施例主要包括以下步驟： 21 ) UE在从小区 A切换到小区 B后发生了 RLF;
22 ) 小区 B通过 UE的重建消息判断出是 UE在小区 A发生了切换过 早的故障， 于是通过 X2口上的 HANDOVER REPORT消息将小区 A出现 了切换过早的故障信息告诉小区 A;
23 ) 小区 A下发的切换测量量是 RSRP, 并且 UE是在小区 B出现了
RLF, 因此小区 A调出小区历史信息中 UE在切换区域上报的关于小区 B 的测量量 RSRP的累积密度函数曲线 CDF (RSRP), 同时小区 B在当前小区 的无线场景， 按照协议规范中对无线链路失败的门限设定能够推导得到小 区 BRLF时的 RSRP门限值 RLFthrd B(RSRP);
24 )对比曲线 CDF (RSRP)和 RLFthrd_B(RSRP) (如图 5A所示）， 发现 在切换区域， 本小区中 UE上报的小区 B信号质量的分布曲线约有 90%在 RLFthrd B (RSRP)以内，也就是说小区 A配置的小区 A到小区 B的切换门 限比较低， 导致小区 B的信号很弱的情况下 UE就上报了测量结果， 因此 导致故障的 UE出现了切换过早的问题；
25 )根据从图 5A的结果和无线场景的配置， 可以知道是小区 A和小 区 B之前的小区专用偏移值较低导致 UE很容易切换到小区 B, 需要使用 的优化策略就是要让小区之间的偏移值变大， 使得和小区 B的 RSRP CDF 曲线在 RLFthrd— B(RSRP)以内的数量减小到 30%以内，因为 UE在移动过程 中有网小区 B移动的趋势， 因此这个门限值可以比本小区的略大一些； 26 )根据优化策略， 小区 A将使用的需要优化小区 A和小区 B之间的 偏移值， 于是将需要修订的参数通知 OAM, OAM在评估参数优化的可执 行性后通知小区 A和小区 B按照指定的取值进行修改；
27 )待网络运行一段时间后， 得到新参数的评估结果。 在本实施例中 的修订后的结果如图 5B所示。 实施例 3: 本实施例描述 UE切换到错误小区的场景， UE在网络中的移动过程如 图 6所示， UE在小区 A (源小区） 中移动时， 满足了测量条件， 上 4艮了小 区 B (目标小区 ), 于是小区 A根据 UE的测量报告， 发起了 UE从小区 A 到小区 B的切换流程， 但是 UE刚完成到小区 B的切换， 就发生了 RLF, 但在重新接入系统时接入了小区 C。
本实施例主要包括以下步驟：
31 ) UE在从小区 A切换到小区 B后发生了 RLF, 并且在小区 C重建；
32 )小区 B根据小区 C的通过 X2口指示的 RLF INFORMATION信息 判断出是 UE在小区 A发生了切换过到错误小区的故障， 于是将故障信息 通过 X2口的 HANDOVER REPORT消息告诉小区 A;
33 ) 小区 A下发的切换测量量是 RSRQ, UE是在小区 B出现了 RLF, 重新建立连接到了小区 C, 因此小区 A调出 UE在切换区域历史上上报的 关于小区 B以及小区 C的测量量 RSRQ的累积密度函数曲线 CDF (RSRQ) 的分布图，然后再通过小区 B和小区 C的无线场景以及协议中对 RLF门限 定义的情况下这两个小区的 RSRQ 门限值 RLFthrd_B(RSRQ)和 RLFthrd— C(RSRQ);
34 )对比曲线， 如图 7所示， 发现在切换区域， 本小区中 UE上报的小 区 B信号质量比 UE上报的小区 C的信号质量还差， 虽然小区 B和小区 C 的信号质量的概率密度函数只有约 10%左右在 RLF门限值的左侧， 作为切 换的目标小区，这样的分布是属于正常的，这样也就是说 UE真实的切换目 标小区应该是小区 C, 而不是小区 B;
35 )根据对故障的分析， UE出现的切换到错误小区的故障是由于小区 A和小区 B、 小区 C之间的小区偏移值配置不合理导致， 采用的优化策略， 只需要让 UE更容易切换到小区 C而不是小区 B, 这样在小区 A调整小区 B和小区 C的偏移值， 让小区 C的偏移值比小区 C小 3dB即可；
36 ) 小区 A将参数优化的综合方案， 包括需要修订的参数通知 OAM, OAM在评估参数优化的可执行性后通知小区 A按照指定的取值进行修改； 37 )待网络运行一段时间后， 得到新参数的评估结果。
综上所述， 采用本方法， 可提供一套有效的切换参数优化策略， 使用 这样的方法可以实现 MRO多种故障场景快速准确的切换参数优化，并且随 着系统使用时间的变长， 可靠性会越来越高， 从而大大的减轻网络故障检 测和优化的工作难度。
以上所述， 仅为本发明的较佳实施例而已， 并非用于限定本发明的保 护范围。 工业实用性
通过本发明所述的切换参数优化方法及系统，网络侧根据 UE上报的测 量值得到小区切换区域相应测量量的累积密度函数曲线 CDF(i), 小区出现 移动性故障时，网络侧根据所述小区上报测量量的累积密度函数曲线 CDF(i) 与所述测量量的门限值曲线 RLFthrd(i)所包围的区域的面积确定所述小区 故障的程度； 网络侧根据所述小区的故障程度， 对相应的切换参数进行修 订，使得 RLFthrd(i)曲线和 CDF(i)曲线所包围的区域的面积减小。可以看出， 本发明实施例在 UE上报的统计结果的基础上，根据切换故障的程度，确定 需要修订的参数以及各个参数修订的程度， 小区只需要一次调整所有的参 数， 就能实现故障的优化， 从而能够提高优化速度， 同时也能提高自优化 性能。

Claims

权利要求书
1、 一种切换参数优化方法， 其中， 网络侧根据用户设备 UE上报的测 量值得到小区切换区域相应测量量的累积密度函数曲线 CDF(i), 其中， i 表示测量量的类型， 该方法包括：
小区出现移动性故障时， 网络侧根据所述小区上报测量量的累积密度 函数曲线 CDF(i)与所述测量量的门限值曲线 RLFthrd(i)所包围的区域的面 积确定所述小区故障的程度；
网络侧根据所述小区的故障程度， 对相应的切换参数进行修订， 使得 RLFthrd(i)曲线和 CDF(i)曲线所包围的区域的面积减小。
2、 根据权利要求 1所述的方法， 其中， 所述测量量为参考信号接收功 率 RSRP或参考信号接收质量 RSRQ。
3、 根据权利要求 1所述的方法， 其中， 所述移动性故障为切换过晚、 切换过早或者切换到错误小区。
4、 根据权利要求 1至 3任一项所述的方法， 其中， 所述切换参数包括 以下一项或多项： 小区专用偏移 CIO、 迟滞参数、 触发时间 TTT、 测量事 件偏移、 测量事件门限、 测量报告间隔、 测量报告数量。
5、 根据权利要求 1至 3任一项所述的方法， 其中， 网络侧设置测量量 的累积密度函数曲线 CDF(i)的最大样本点个数，
所述网络侧根据 UE 上报的测量值得到小区切换区域各个测量量的累 积密度函数曲线 CDF(i)为： 根据所述最大样本点个数及 UE上报的测量值 对相应的累积密度函数曲线 CDF(i)进行更新。
6、 一种切换参数优化系统， 其中， 该系统包括： 累积密度函数曲线获 取单元、 小区故障程度确定单元和切换参数修订单元； 其中，
所述累积密度函数曲线获取单元，设置为根据 UE上报的测量值得到小 区切换区域相应测量量的累积密度函数曲线 CDF(i), 其中， i表示测量量的 类型；
所述小区故障程度确定单元， 设置为在小区出现移动性故障时， 根据 所述累积密度函数曲线获取单元获取的所述小区上报测量量的累积密度函 数曲线 CDF(i)与所述测量量的门限值曲线 RLFthrd(i)所包围的区域的面积 确定所述小区故障的程度；
所述切换参数修订单元， 设置为根据小区故障程度确定单元确定的所 述小区的故障程度， 对相应的切换参数进行修订， 使得 RLFthrd(i)曲线和 CDF(i)曲线所包围的区域的面积减 d、。
7、 根据权利要求 6所述的系统， 其中， 所述累积密度函数曲线获取单 元根据 UE 上报的测量值得到小区切换区域相应测量量的累积密度函数曲 线 CDF(i)为： 根据 UE上报的参考信号接收功率 RSRP或参考信号接收质 量 RSRQ得到相应的累积密度函数曲线 CDF(i)。
8、 根据权利要求 6所述的系统， 其中， 所述小区故障程度确定单元在 小区出现移动性故障时确定所述小区故障的程度为： 在切换过晚、 切换过 早或者切换到错误小区时， 确定所述小区故障的程度。
9、 根据权利要求 6至 8任一项所述的系统， 其中， 所述切换参数修订 单元修订的切换参数为以下一项或多项： 小区专用偏移 CIO、 迟滞参数、 触发时间 TTT、 测量事件偏移、 测量事件门限、 测量报告间隔、 测量报告 数量。
10、 根据权利要求 6至 8任一项所述的系统， 其中，
所述累积密度函数曲线获取单元， 还设置为设置测量量的累积密度函 数曲线 CDF(i)的最大样本点个数， 并根据所述最大样本点个数及 UE上报 的测量值对相应的累积密度函数曲线 CDF(i)进行更新。
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