WO2011140874A1 - 一种用户设备待机状态行为评估方法及装置 - Google Patents

一种用户设备待机状态行为评估方法及装置 Download PDF

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Publication number
WO2011140874A1
WO2011140874A1 PCT/CN2011/072613 CN2011072613W WO2011140874A1 WO 2011140874 A1 WO2011140874 A1 WO 2011140874A1 CN 2011072613 W CN2011072613 W CN 2011072613W WO 2011140874 A1 WO2011140874 A1 WO 2011140874A1
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user
suspected
area update
frequency
call
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PCT/CN2011/072613
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English (en)
French (fr)
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李群
赵明鹤
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中兴通讯股份有限公司
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Publication of WO2011140874A1 publication Critical patent/WO2011140874A1/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

Definitions

  • the present invention relates to data collection and evaluation techniques in a wireless communication system, and more particularly to a method and apparatus for assessing a standby state behavior of a user equipment. Background technique
  • 3G Third-generation mobile communication technology
  • 2G second-generation mobile communication technology
  • the TD-SCDMA network Since the commercial network was built in the first phase of the city in 2007, the TD-SCDMA network has been committed to the network operation based on the evaluation of the network quality KPI (Key Performance Indicators) system, and continuously improves and optimizes the network equipment and network environment.
  • KPI Key Performance Indicators
  • the existing network KPI indicators continue to improve, the user perception has not been improved simultaneously, which directly reflects the fact that there are many customer complaints and the growth of network traffic is slow.
  • User service usage perception is the basis of user perception evaluation. It is a visual sense of the performance and quality of the product after using the communication product. For example: videophone function, before use, users may imagine according to QQ video experience and this business promotion content, after the actual use, the image clarity, video delay, image size, etc. during the call will be for the user. Visual and auditory impacts, allowing users to form a true feeling of this business situation. If it feels good, it will stimulate users to use the business; if it feels better, the user may consider it when necessary; if the real feeling is far from the expected value, the network will be disconnected, crashed and dropped during use. And often cause repeated calls or restarts, the user will definitely give up.
  • 3G networks have a successful experience in 2G networks
  • 3G networks also have their KPI classification and evaluation characteristics in the initial stage of network construction. For example: User equipment off-network, crash and dropped calls are a phenomenon of user complaints in the initial stage of network construction.
  • the main object of the present invention is to provide a method and a device for evaluating a behavior of a user equipment in a standby state, which are used to evaluate a user equipment and a wireless network controller to exchange signaling types and user behavior habits, and to evaluate a user equipment in a standby state when it is dead or off-network.
  • a wireless network controller to exchange signaling types and user behavior habits, and to evaluate a user equipment in a standby state when it is dead or off-network.
  • the frequency of abnormal states such as dropped lines. Therefore, it guides the reasonable planning of network area coverage layout and user equipment performance optimization.
  • a method for evaluating a behavior of a user equipment in a standby state comprising:
  • the radio network controller RNC collects user logs of the call process of the entire network user, and the user log includes at least a user identifier, a calling cell identifier, a service service type, a call start time, and an end call time;
  • the number of suspected dropped calls, and/or suspected crashes and/or off-network frequencies are counted based on the user log.
  • the method for counting the frequency of the suspected call drop based on the user log is: determining the difference between the start time of the next user log and the end call time of the previous user log in the consecutive two user logs of the same user Whether the value is less than the continuous call toleration time interval of the user, and when the difference is less than the continuous call tolerance interval of the user, the suspected call drop frequency statistics are accumulated.
  • the service service types of consecutive two user logs of the same user are all calls based on Radio Access Bearer (RAB) service.
  • RAB Radio Access Bearer
  • the service service type is a location area update and/or a routing area update
  • the user log further includes location area update information and/or routing area update information
  • the location area update information includes a location area update type
  • the routing area update information includes a routing area update type
  • the method of crashing and/or off-network frequency is: when the user log includes location area update information and/or routing area update information, and the location area update type and/or the routing area update type is an International Mobile Subscriber Identity (IMSI)
  • IMSI International Mobile Subscriber Identity
  • the statistics of the suspected deadlock and/or the off-network frequency are performed based on the location area update information.
  • the radio network controller supports non-access stratum location area update and parsing of routing area update messages.
  • the method further includes the step of classifying statistics, specifically:
  • the statistical result records obtained are classified and counted.
  • the classification statistics further includes: presetting different thresholds or threshold intervals for suspected call drop frequency, and/or suspected crash and/or off-network frequency, when a single user is suspected to call within the statistical time period When the line frequency, and/or suspected crash and/or off-network frequency is greater than or falls within the set threshold or threshold interval, an expert prompt is given in the statistical result record.
  • the method further includes: performing, according to the user log collected by the RNC, a frequency of suspected call drop for a certain type of service according to a service type of the previous user log, and/or a suspected crash and/or off-network Frequency statistics steps.
  • the present invention further provides a user equipment standby state behavior evaluation apparatus, the apparatus comprising:
  • the collection module is located at the RNC, and is used for collecting a user log of a call process of the entire network user, where the user log includes at least a user identifier, a calling cell identifier, a service service type, a call start time, and an end call time;
  • a frequency statistics module configured to count, according to the user log, a suspected call drop frequency, and/or a suspected crash and/or off-network frequency, and is responsible for generating a given statistical time period for a single user within a given statistical time period Record the statistical results of suspected call dropouts, and/or suspected crashes and/or off-network frequencies.
  • the frequency statistics module includes:
  • the first frequency statistics module is configured to perform statistics on the frequency of the suspected call drop based on the user log; the module determines the consecutive two user logs of the same user, the start time of the next user log and the end of the previous user log Whether the difference of the call time is less than the continuous call tolerance interval of the user, and when the difference is less than the continuous call tolerance interval of the user, accumulating the statistics of the suspected call drop frequency;
  • a second frequency statistics module configured to perform statistics on suspected crashes and/or off-network frequencies based on the user logs; the module includes location area update information and/or routing area update information in the user log, and the location area update type And/or the routing area update type is IMSI attachment, determining whether the difference between the originating time in the user log and the ending call time of the previous user's previous user is a small user continuous call tolerating time interval, in the difference When less than the continuous call toleration interval of the user, the suspected deadlock and/or off-network frequency statistics are accumulated.
  • the device further includes:
  • a classification and statistics module configured to: based on a user log and a frequency statistics module collected by the RNC, a suspected call drop frequency, and/or a suspected crash and/or off-network frequency for a given user within a given statistical time period
  • the statistical result record classifies and statistics the behavior of the user equipment in the standby state from multiple dimensions.
  • the invention collects the log records of the whole network user through the wireless network controller, and monitors and divides the signaling
  • the analysis system of the present invention uses the evaluation algorithm of the present invention to collect statistics on suspected crashes, off-network frequencies, and/or suspected call drop frequencies for a given user within a given statistical time period based on user logs and frequency statistics modules collected by the RNC.
  • the result records the classification and statistics of the user equipment's behavior in the standby state from multiple dimensions, obtains the probability distribution trend in a certain statistical period, guides the network area coverage layout and gives the terminal performance optimization warning prompt, thus from the user and the network. Aspects to enhance and improve user perception. DRAWINGS
  • FIG. 1 is a flowchart of a method for evaluating a standby state behavior of a user equipment according to the present invention
  • FIG. 2 is a schematic diagram of a suspected dead machine and off-network statistical algorithm according to the present invention
  • FIG. 3 is a schematic diagram of a suspected call drop statistics algorithm of the present invention.
  • FIG. 4 is a schematic structural diagram of a device for evaluating a standby state behavior of a user equipment according to the present invention. detailed description
  • the user equipment performs circuit domain (CS domain) registration through the location area update process and the network, and performs packet domain (PS domain) registration through the routing area update process and the network.
  • CS domain circuit domain
  • PS domain packet domain
  • the location area update includes: normal location area update, periodic location area update, and international mobile subscriber identity (IMSI) attachment location area update three types;
  • Normal location area update means that the UE moves from one location area to another, that is, when the UE finds that the location area identifier (LAI) in the memory is different from the received LAI of the current cell. Must be registered in the new location area;
  • LAI location area identifier
  • Periodic location area update means that no information from the mobile station is received within the specific time of the current network.
  • the system retrieves mandatory registration measures and requires the mobile user to register once at a specific time (network configuration T3212 timer). , notifying the availability of the network UE;
  • IMSI attachment location area update which means that the UE is powered on, or the off-network time exceeds the periodic location area. After updating the specific time, when returning to the service area and finding that the LAI in the SIM card is consistent with the network LAI, the IMSI attachment is performed.
  • the same PS domain routing area update also includes the following three types: normal routing area update, periodic routing area update, and IMSI attached routing area update.
  • the IMSI attachment frequency can be counted during the time period. If the frequency exceeds a certain threshold, the user is likely to be disconnected or dead. In addition, if the same user continuously calls the service for a short period of time, the user may have dropped the service call. From a statistical point of view, as long as the sample is sufficient, after a certain statistical period, the probability distribution can be used to estimate the actual situation of the user equipment in the standby state, such as off-network, dead machine and dropped line.
  • the basic idea of the present invention is proposed: based on the conventional user behavior using the mobile phone habit, the user log of the user call process collected by the radio network controller (RNC) is counted, and the suspected crash occurs in a given time period.
  • the off-network frequency and/or the suspected call drop frequency reflecting the user's standby state during a certain busy time period (for example, 5 am to 12 pm).
  • the method for judging the suspected crash and/or off-network is: when collecting the user log including the IMSI attached location area update and/or the IMSI attached routing area update, the recording time of the user log is the same as the user's previous user. When the log recording time is compared, if the time interval is too short, it can be determined that the user has the power on/off and/or the off-network returns to the service area.
  • the method for judging the suspected call drop is: when collecting the user request for a certain type of service, comparing the record time of the user log with the user log record time of the user for the same type of service for the previous time, If the time interval is too short, it can be judged that the user has a call drop.
  • FIG. 1 is a flowchart of a method for evaluating a behavior of a standby state of a user equipment according to the present invention, which specifically includes:
  • Step 100 The radio network controller RNC collects user information of the whole network user call process, and each user log includes at least a user identifier, a calling cell identifier, a service service type, a calling moment, and an ending call moment.
  • the service service type includes: a service call, a short message, a location area update, a routing area update, and an emergency call based on a Radio Access Bear (RAB);
  • RAB Radio Access Bear
  • the user log should also include location area update information or routing area update information;
  • the location area update information carries a location area update type, and the routing area update information includes Routing area update type;
  • the calling cell identifier is an identifier of a serving cell when the user calls for access; wherein the user identifier is a unique identifier of the user, such as an International Mobile Subscriber Identity (IMSI), an International Mobile Identity (IMEI), or the like. ;
  • IMSI International Mobile Subscriber Identity
  • IMEI International Mobile Identity
  • the call start time refers to a time when the RNC receives a radio resource control (RRC, Radio Resource Conctrol) connection request sent by the UE;
  • RRC Radio Resource Control
  • the ending call time is a time when the RNC ends the current call and records the user log.
  • the radio network controller supports the analysis of the non-access stratum location area and the routing area update message, obtains the location area update and the routing area update information, and is saved at the RNC.
  • Step 102 Given a statistical time period, statistics on the frequency of suspected crashes and/or off-networks in the statistical time period, and obtain the accumulated statistical values;
  • the location area update type is IMSI attachment
  • a threshold value which is set according to a continuous call toleration time interval of the user, and if less than a predetermined threshold, the suspected deadlock and/or off-network frequency statistics are accumulated
  • the routing area update type is IMSI attached
  • a limit value which is set according to a continuous call toleration time interval of the user, and if less than a predetermined threshold, the suspected dead and/or off-network frequency statistics are accumulated
  • the continuous call toleration time interval of the user refers to: the shortest time interval after the user terminal crashes or returns to the service area, or the network connection is initiated after the call is dropped, based on the conventional user behavior using the mobile phone habit.
  • Step 104 Given a statistical time period, statistics on the frequency of the suspected call drop in the statistical time period, and obtain the accumulated statistical value;
  • the service service types of the consecutive two user logs of the same user are all calls based on the RAB service;
  • Step 106 Perform classification and statistics on the statistical results of suspected call drop frequency, and/or suspected crash and/or off-network frequency from different dimensions;
  • classification statistics are again performed for the obtained statistical result records from multiple dimensions, for example, classification statistics can be performed according to the cell, the terminal type, the time period, the user group, and the cell group.
  • the classification and statistics may be performed according to the service service type of the previous user log, thereby obtaining the frequency of the suspected call drop for a certain type of service, And/or statistical results of suspected crashes and/or off-network frequencies.
  • Step 201 When the UE initiates a call, the RNC generates a user log corresponding to the current call. And output the user's voice when the call is normal or abnormally ended;
  • the UE initiates a call, that is, the UE initiates a radio resource control connection request to the network side.
  • the user log mainly records the user identification information, the calling cell identifier, the calling time, the ending call time, and the like. If the user call is the location area update process or the routing area update process, the user log should also include the location area update information and / or routing area update information; wherein, the user identification information includes: user phone number, International Mobile Subscriber Identity (IMSI), International Mobile Identity (IMEI), Radio Network Temporary Identity (U-RNTI), cell wireless network temporarily Identification (C-RNTI), packet domain temporary identity code (P-TMSI), and temporary identity code (TMSI).
  • IMSI International Mobile Subscriber Identity
  • IMEI International Mobile Identity
  • U-RNTI Radio Network Temporary Identity
  • C-RNTI cell wireless network temporarily Identification
  • P-TMSI packet domain temporary identity code
  • TMSI temporary identity code
  • the identity information of the UE may also include only one of them;
  • the location area update information only exists in the current user log is the location area update process, which carries the location area update type; the routing area update information includes the routing area update type; the originating cell identifier is the serving cell when the user accesses
  • the time of the call is the time when the network receives the RRC connection request from the user equipment; the time of ending the call is the time when the network ends the current call and records the user log.
  • Step 202 On the network side, the signaling monitoring and analysis system collects and records the user log records of the entire network RNC;
  • T1 Set the user behavior time period T1, for example: You can set the daily analysis time period from 5 am to 12 pm;
  • T2 refers to the shortest possible time in the user behavior habit after the network crashes during the call, the network is returned to the service area, or the call is dropped and the network connection is initiated.
  • Step 203 The network side signaling monitoring and analysis system collects all user log records XI in the T1 time period in which the IMSI attached location area update and/or the IMSI attached routing area update occurs;
  • Step 204 Referring to FIG. 2, according to the user logs XI, the last user log Y1 of each user is searched, and the difference between the start time of the user log XI and the end time of the user log Y1 is compared with D2, if ⁇ is less than T2, it is recorded that the user is suspected to be dead, off the network, and the counter B1 is incremented by one. The more the IMEI attached location area update or the IMEI attached routing area update of the ⁇ exceeding T2 occurs in the T1 time period, the larger the counter B1 is.
  • Step 205 Referring to FIG. 3, the network side signaling monitoring and analysis system collects all service-related user logs X2 in the T1 time period, and searches for the last service-related user log Y2 of each user according to the user logs X2, and the user log X2. The difference between the middle call and the user log Y2 end call time is compared with T2. If ⁇ is less than T2, the user is suspected to be dropped by the call, and the counter B2 is incremented by 1. The more the number of calls in the T1 period in which the ⁇ exceeds T2, the greater the counter B2.
  • Step 206 Compare each user's counter B1 or counter B2 of the T1 time period with T3, or determine whether it falls within the T3-T4 interval. If B1 or B2 is greater than T3 or falls within the T3-T4 interval, then for a single The user gives an expert prompt and forms a statistical record for storage.
  • the statistical record should include a user identification field, a suspected off-network dead frequency field, a call drop frequency field, an expert prompt field, etc., and the statistical record can be used for the user log. Perform associations and perform classification statistics for subsequent steps.
  • Step 207 The network side signaling monitoring and analysis system may be based on steps 201 to 206. According to the selected cell, cell group, terminal type and time interval, the network coverage layout and user equipment performance are reflected from different angles, and the distribution of suspected off-network, dead frequency and call drop frequency is suspected.
  • the terminal type is distinguished based on the first eight digits of IMEI, namely TAC (Type Approval Code) and FAC (Final Assembly Code).
  • Step 208 The network side signaling monitoring and analysis system may perform the classification of the off-network, the crash, or the call drop for the service service type in the idle state or the connected state according to the service service type in the user log records Y1 and Y2. statistics.
  • Step 209 The network side signaling monitoring and analysis system displays the statistical result.
  • FIG. 4 is a schematic structural diagram of a user equipment standby state behavior estimating apparatus according to the method for evaluating a standby state behavior of a user equipment according to the present invention.
  • the apparatus includes: a collecting module, a frequency counting module, and a classification and counting module.
  • the collection module is located at the RNC, and is used for collecting a user log of a call process of the entire network user, where the user log includes at least a user identifier, a calling cell identifier, a service service type, a call start time, and an end call time;
  • a frequency statistics module configured to count, according to the user log, a suspected call drop frequency, and/or a suspected crash and/or off-network frequency, and generate a single user for a given statistical time period within a given statistical time period The statistical results of suspected call dropouts, and/or suspected crashes and/or off-network frequencies are recorded.
  • the frequency statistics module further includes:
  • the first frequency statistics module is configured to perform statistics on the frequency of the suspected call drop based on the user log; the module determines the consecutive two user logs of the same user, the start time of the next user log and the end of the previous user log Whether the difference of the call time is less than the continuous call tolerance interval of the user, and when the difference is less than the continuous call tolerance interval of the user, accumulating the statistics of the suspected call drop frequency; a second frequency statistics module, configured to perform statistics on suspected crashes and/or off-network frequencies based on the user logs; the module includes location area update information and/or routing area update information in the user log, and the location area update type And/or the routing area update type is IMSI attachment, determining whether the difference between the originating time in the user log and the ending call time of the previous user's previous user is a small user continuous call tolerating time interval, in the difference When less than the continuous call toleration interval of the user, the suspected deadlock and/or off-network frequency statistics are accumulated.
  • the apparatus still further includes a classification statistics module, configured to: based on the user log and the frequency statistics module collected by the RNC, the frequency of suspected call drops, and/or suspects for a given user within a given statistical time period obtained by the frequency statistics module Statistics of crashes and/or off-network frequencies are recorded, and the behavior of user equipments in standby state is classified and statisticed from multiple dimensions.
  • a classification statistics module configured to: based on the user log and the frequency statistics module collected by the RNC, the frequency of suspected call drops, and/or suspects for a given user within a given statistical time period obtained by the frequency statistics module Statistics of crashes and/or off-network frequencies are recorded, and the behavior of user equipments in standby state is classified and statisticed from multiple dimensions.

Abstract

本发明公开了一种用户设备待机状态行为评估方法及装置，用于实现通过用户设备和无线网络控制器交互信令类别以及用户行为习惯常识，评估用户设备待机时死机、脱网和/或掉线等异常状态的频次。本发明通过无线网络控制器对全网用户日志记录采集，信令监测和分析系统通过本发明评估算法，基于RNC所采集到的用户日志及频次统计模块获得的针对单个用户在给定统计时间段内的疑似死机、脱网频次和/或疑似呼叫掉线频次的统计结果记录，从多维度对用户设备在待机状态下的行为进行分类统计，在一定统计周期获取概率分布趋势，指导网络区域覆盖布局及给出终端性能优化的预警提示，从而从用户和网络两个方面来提升和完善用户感知度。

Description

一种用户设备待机状态行为评估方法及装置 技术领域
本发明涉及无线通信系统中的数据釆集和评估技术， 尤其涉及一种用 户设备待机状态行为评估方法及装置。 背景技术
随着我国第三代移动通讯技术（3G )运营牌照的发放， 宣告 3G进入 商用时代， 与第二代移动通讯技术（2G ) 网络相比， 3G网络和设备的商用 成熟化在建网初期面临着很大挑战。 一方面需要优化网络配置、 提升网络 侧系统设备和用户终端（ User Equipment , UE )性能； 另一方面需要从用户 感知角度出发， 提升用户业务使用感知、 业务服务感知以及业务计费感知。
TD-SCDMA网络从 2007年一期城市建网商用至今， 一直致力于网络 运行依据网络质量 KPI (关键性能指标 )体系的评价， 对网络设备和网络环 境不断改进和优化。 然而在现有网络 KPI指标不断提升圓满的同时， 用户 感知度并没有得到同步的提升， 直接反映是客户投诉多， 网络话务量增长 迟緩。
用户业务使用感知是用户感知评价基础。 它是使用通信产品后， 对产 品的性能、 质量的一种直观感。 比如： 可视电话功能， 使用前， 用户可能 会根据 QQ视频经验及此业务宣传内容进行想象， 待到实际使用后， 通话 过程中的图像清晰度、 视频时延、 图像大小等会对用户的视听觉造成冲击， 让用户形成对此业务情况的真实感受。 如果感觉很好， 一定会刺激用户使 用该业务； 如果感觉较好， 用户可能会考虑必要的时候才用； 如果真实感 觉与期望值相隔甚远， 使用过程中出现脱网、 死机和掉线等， 并导致经常 重呼或重启， 用户一定会放弃。 如何从用户感知角度建立完善的用户感知度评价体系， 已经引起了运 营商广泛关注。 虽然 3G网络有 2G网络成功经验可借鉴， 但是 3G网络在 建网初期也有其 KPI分类和评估自身的特点。 例如： 用户设备脱网、 死机 和掉线等在建网初期是用户投诉多的一个现象， 目前基于无线网络控制数 据釆集， 还没有一种方法能够对用户待机状态下脱网、 死机和掉线等数据 进行分析和评估。 发明内容
有鉴于此， 本发明的主要目的在于提供一种用户设备待机状态行为评 估方法及装置， 通过用户设备和无线网络控制器交互信令类别以及用户行 为习惯常识， 评估用户设备待机时死机、 脱网和掉线等异常状态的频次。 由此， 指导合理规划网络区域覆盖布局和用户设备性能优化。
为达到上述目的， 本发明的技术方案是这样实现的：
一种用户设备待机状态行为评估方法， 其特征在于， 包括：
无线网络控制器 RNC釆集全网用户呼叫过程的用户日志， 所述用户日 志至少包含用户标识、 起呼小区标识、 业务服务类型、 起呼时刻和结束呼 叫时刻；
在给定统计时间段内， 基于所述用户日志统计疑似呼叫掉线频次、 和 / 或疑似死机和 /或脱网频次。
进一步地， 所述基于所述用户日志统计疑似呼叫掉线频次的方法为： 判断同一用户的连续两个用户日志中， 后一用户日志的起呼时刻和前 一用户日志的结束呼叫时刻的差值是否小于用户连续呼叫容忍时间间隔， 在该差值小于所述用户连续呼叫容忍时间间隔时， 累加疑似呼叫掉线频次 统计值。 优选地， 所述同一用户的连续两个用户日志的业务服务类型均为 基于无线接入承载（RAB )业务的呼叫。
进一步地， 若所述业务服务类型为位置区更新和 /或路由区更新， 则所 述用户日志还包含位置区更新信息和 /或路由区更新信息， 所述位置区更新 信息包含位置区更新类型， 所述路由区更新信息包含路由区更新类型； 所述基于所述用户日志统计疑似死机和 /或脱网频次的方法为： 当所述用户日志包含位置区更新信息和 /或路由区更新信息， 且位置区 更新类型和 /或路由区更新类型为国际移动用户识别码（IMSI ) 附着时， 判 断该用户日志中的起呼时刻与同一用户的前一次用户日志的结束呼叫时刻 的差值是否小用户连续呼叫容忍时间间隔， 若该差值小于所述用户连续呼 叫容忍时间间隔， 则累加疑似死机和 /或脱网频次统计值。
优选地， 当所述用户日志同时包含位置区更新信息和路由区更新信息 时， 只以位置区更新信息为准， 进行疑似死机和 /或脱网频次的统计。
进一步地， 所述无线网络控制器支持非接入层位置区更新和路由区更 新消息的解析。
进一步地， 所述方法还包括分类统计的步骤， 具体为：
基于 RNC所釆集到的用户日志， 在获得针对单个用户在给定统计时间 段内的疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次的统计结果记录 后， 从多维度针对所获得的统计结果记录进行分类统计。
所述分类统计进一步还包括： 预先设定针对疑似呼叫掉线频次、 和 /或 疑似死机和 /或脱网频次的不同门限或门限区间， 当单个用户在所述统计时 间段内的疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次大于或落入所设 定的门限或门限区间时， 在所述统计结果记录中给出专家提示。
进一步地， 所述方法还包括： 基于 RNC所釆集到的用户日志， 按照前 次用户日志的业务服务类型进行针对某类业务的疑似呼叫掉线频次、 和 /或 疑似死机和 /或脱网频次的统计步骤。
基于上述方法， 本发明还提出一种用户设备待机状态行为评估装置， 该装置包括： 釆集模块， 位于 RNC, 用于釆集全网用户呼叫过程的用户日志， 所述 用户日志至少包含用户标识、 起呼小区标识、 业务服务类型、 起呼时刻和 结束呼叫时刻；
频次统计模块， 用于在给定统计时间段内， 基于所述用户日志统计疑 似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次， 并负责生成针对单个用户 在给定统计时间段内的疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次的 统计结果记录。
进一步地， 所述频次统计模块包括：
第一频次统计模块， 用于基于所述用户日志进行疑似呼叫掉线频次的 统计； 该模块判断同一用户的连续两个用户日志中， 后一用户日志的起呼 时刻和前一用户日志的结束呼叫时刻的差值是否小于用户连续呼叫容忍时 间间隔， 在该差值小于用户连续呼叫容忍时间间隔时， 累加疑似呼叫掉线 频次统计值；
第二频次统计模块， 用于基于所述用户日志进行疑似死机和 /或脱网频 次的统计； 该模块在所述用户日志包含位置区更新信息和 /或路由区更新信 息，且位置区更新类型和 /或路由区更新类型为 IMSI附着时，判断该用户日 志中的起呼时刻与同一用户的前一次用户曰志的结束呼叫时刻的差值是否 小用户连续呼叫容忍时间间隔， 在该差值小于用户连续呼叫容忍时间间隔 时， 累加疑似死机和 /或脱网频次统计值。
进一步地， 所述装置还包括：
分类统计模块， 用于基于 RNC所釆集到的用户日志及频次统计模块获 得的针对单个用户在给定统计时间段内的疑似呼叫掉线频次、 和 /或疑似死 机和 /或脱网频次的统计结果记录， 从多维度对用户设备在待机状态下的行 为进行分类统计。
本发明通过无线网络控制器对全网用户日志记录釆集， 信令监测和分 析系统通过本发明评估算法，基于 RNC所釆集到的用户日志及频次统计模 块获得的针对单个用户在给定统计时间段内的疑似死机、 脱网频次和 /或疑 似呼叫掉线频次的统计结果记录， 从多维度对用户设备在待机状态下的行 为进行分类统计， 在一定统计周期获取概率分布趋势， 指导网络区域覆盖 布局及给出终端性能优化的预警提示， 从而从用户和网络两个方面来提升 和完善用户感知度。 附图说明
图 1为本发明提出的一种用户设备待机状态行为评估方法的流程图； 图 2为本发明疑似死机、 脱网统计算法示意图；
图 3为本发明疑似呼叫掉线统计算法示意图；
图 4为本发明用户设备待机状态行为评估装置的结构示意图。 具体实施方式
以下首先对本发明的实现原理和基本思想进行描述；
用户设备通过位置区更新过程和网络进行电路域（CS域） 注册， 通过 路由区更新过程和网络进行分组域（ PS域） 注册。
位置区更新包括： 正常位置区更新、 周期性位置区更新和国际移动用 户识别码（IMSI ) 附着位置区更新三种类型；
1 )正常位置区更新， 指 UE从一个位置区移动到另一位置区， 也就是 说当 UE发现存储器中的位置区标识（LAI )与接收到的当前小区的 LAI不 同。 必须在新位置区进行注册；
2 )周期性位置区更新， 指发生在当前网络特定的时间内没有收到来自 移动台任何信息， 系统釆取强制登记措施，要求移动用户在一特定时间（网 络配置 T3212定时器） 内注册一次， 通知网络 UE的可用性；
3 ) IMSI附着位置区更新， 指 UE开机、 或脱网时间超过周期性位置区 更新特定时间后， 重回服务区时发现 SIM卡中 LAI与网络 LAI一致， 则进 行 IMSI附着。
同样 PS域路由区更新也包括以下 3种类型： 正常路由区更新、 周期性 路由区更新和 IMSI附着路由区更新。
一般地， 用户一天内使用手机习惯在上午 5点到晚上 12点， 在这一时 间段用户不会随便开关机， 除非在开会或飞机上。 以这样假设为基础， 可 对该时间段内发生 IMSI附着频次进行统计， 如果频次超过一定门限， 则说 明用户存在脱网或死机可能性。 此外， 如果同一用户很短时间内连续呼叫 请求业务， 则说明用户可能出现了业务呼叫掉线。 从统计学角度讲， 只要 样本足够， 经过一定的统计周期， 从概率分布上就可以评估出用户设备在 待机状态下， 存在脱网、 死机和掉线的实际情况。
基于上述分析， 提出本发明的基本思想： 即以常规用户行为使用手机 习惯为基础， 针对无线网络控制器 （RNC ) 所釆集的用户呼叫过程的用户 日志， 统计给定时间段内疑似死机、 脱网频次和 /或疑似呼叫掉线频次， 从 而反映一定话务忙时时间段内 （例如上午 5点到晚上 12点 )的用户待机状 态。
所述疑似死机和 /或脱网的判断方法为：在釆集到包含 IMSI附着位置区 更新和 /或 IMSI附着路由区更新的用户日志时，将该用户日志的记录时刻同 该用户前一次用户日志的记录时刻相比较， 若时间间隔过短， 则可判定用 户存在开关机和 /或脱网重回服务区的情况。
所述疑似呼叫掉线的判断方法为： 在釆集到针对某类业务请求的用户 曰志时， 将该用户日志的记录时刻同该用户前一次针对同一类业务的用户 日志记录时刻相比较， 若时间间隔过短， 则可判断用户存在呼叫掉线的情 况。
下面结合附图对技术方案的实施作进一步的详细描述。 图 1 为本发明一种用户设备待机状态行为评估方法的流程图， 具体包 括：
步骤 100, 无线网络控制器 RNC釆集全网用户呼叫过程的用户曰志， 每个用户日志至少包含用户标识、 起呼小区标识、 业务服务类型、 起呼时 刻和结束呼叫时刻。
其中， 所述业务服务类型包括：基于无线接入承载（Radio Access Bear, RAB ) 的业务呼叫、 短消息、 位置区更新、 路由区更新和紧急呼叫；
其中， 如果用户呼叫过程是位置区更新或路由区更新过程， 所述用户 日志还应包含位置区更新信息或路由区更新信息； 所述位置区更新信息携 带位置区更新类型， 路由区更新信息包含路由区更新类型；
其中， 所述起呼小区标识为用户呼叫接入时的服务小区的标识； 其中， 所述用户标识为用户唯一标识， 例如国际移动用户识别码 ( IMSI )、 国际移动身份识别码（IMEI )等；
其中， 所述起呼时刻是指 RNC收到 UE发送的无线资源控制 （RRC, Radio Resource Conctrol )连接请求的时刻；
其中，所述结束呼叫时刻是 RNC结束本次呼叫，记录用户日志的时刻。 优选地， 无线网络控制器支持非接入层位置区和路由区更新消息的解 析， 获取位置区更新和路由区更新信息， 并保存在 RNC处。
步骤 102, 给定统计时间段， 统计在该统计时间段内疑似死机和 /或脱 网的频次， 获得其累加的统计值；
当用户日志只包含电路域位置区更新信息， 且位置区更新类型为 IMSI 附着时， 判断该用户日志中的起呼时刻与同一用户的前一次用户日志的结 束呼叫时刻的差值是否小于预定的门限值， 该门限值根据用户连续呼叫容 忍时间间隔来设定， 若小于预定的门限值， 则累加疑似死机和 /或脱网频次 统计值； 当用户日志只包含分组域路由区更新信息， 且路由区更新类型为 IMSI 附着时， 判断该用户日志中的起呼时刻与同一用户前一次用户日志的结束 呼叫时刻的差值是否小于预定的门限值， 该门限值根据用户连续呼叫容忍 时间间隔来设定， 若小于预定的门限值， 则累加疑似死机和 /或脱网频次统 计值；
当用户日志同时包含电路域位置区更新信息和分组域路由区更新信息 时， 只以电路域位置区更新信息为准， 进行疑似死机和 /或脱网频次统计。
所述用户连续呼叫容忍时间间隔是指： 以常规用户行为使用手机习惯 为基础， 用户终端死机或脱网后， 重回服务区， 或呼叫掉线后又发起网络 连接的最短时间间隔。
步骤 104,给定统计时间段，统计在该统计时间段内疑似呼叫掉线频次， 获得其累加的统计值；
以时间先后顺序， 判断同一用户的连续两个用户日志中， 后一用户日 志的起呼时刻和前一用户日志的结束呼叫时刻的时间间隔是否小于用户连 续呼叫容忍时间间隔， 若小于则累加疑似呼叫掉线频次。
优选地， 所述同一用户的连续两个用户日志的业务服务类型均为基于 RAB业务的呼叫；
步骤 106 , 从不同维度对疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网 频次的统计结果进行分类统计；
优选地， 基于 RNC所釆集到的用户日志， 在获得针对单个用户在给定 统计时间段内的疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次统计结果 记录后， 还可从多维度针对所获得的统计结果记录再次进行分类统计， 例 如可按照小区、 终端类型、 时间段、 用户组和小区组进行分类统计。
优选地， 基于 RNC所釆集到的用户日志， 还可按照前次用户日志的业 务服务类型进行分类统计， 从而获得针对某类业务的疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次的统计结果。
实施例 1 :
以下结合图 2和图 3 ,举实例说明本发明一种用户设备待机状态行为评 估方法的具体步骤：
步骤 201 : UE发起呼叫时， RNC生成对应当前呼叫的用户日志。 并在 呼叫正常或异常结束时， 输出用户曰志；
在 3G中， UE发起呼叫即指 UE向网络侧发起无线资源控制连接请求。 本发明中， 用户日志主要记录用户标识信息、 起呼小区标识、 起呼时 刻和结束呼叫时刻等， 如果用户呼叫是位置区更新过程或路由区更新过程 , 用户日志还应包含位置区更新信息和 /或路由区更新信息； 其中， 用户标识 信息包括： 用户电话号码、 国际移动用户识别码（IMSI )、 国际移动身份识 别码 ( IMEI )、 无线网络暂时标识 （ U-RNTI )、 小区无线网络暂时标识 ( C-RNTI )、分组域临时身份识别码 ( P-TMSI )和临时身份识别码 ( TMSI ), 对于 P-TMSI和 TMSI, UE的标识信息也可仅包含二者之一；
位置区更新信息只有在本次用户日志是位置区更新过程才会存在， 其 中携带了位置区更新类型； 路由区更新信息包含了路由区更新类型； 起呼 小区标识是用户接入时的服务小区的标识； 起呼时刻为网络收到用户设备 RRC连接请求的时刻； 结束呼叫时刻为网络结束本次呼叫， 记录用户日志 的时刻。
步骤 202: 在网络侧， 信令监测和分析系统对全网 RNC釆集用户日志 记录， 并进行分析；
设置用户行为时间段 T1 ,例如： 可设定每天上午 5点到晚上 12点为统 计分析时间段；
设置用户连续呼叫容忍时间间隔 T2; T2是指用户行为习惯中在呼叫过 程中死机后、 脱网重回服务区或呼叫掉线又发起网络连接的可能的最短时 间间隔；
设置用户 IMSI附着位置区更新频次预警门限 T3或区间 T3-T4,当 IMSI 附着位置区更新频次超过预警门限或落入预警门限区间中时， 则根据不同 的预警门限或预警门限区间由分析给出专家提示， 例如： 频次正常、 频次 较高和频次过高。
步骤 203: 网络侧信令监测和分析系统统计 T1时间段内所有发生 IMSI 附着位置区更新和 /或 IMSI附着路由区更新的用户日志记录 XI；
步骤 204: 参照图 2, 根据这些用户日志 XI搜索每个用户最近一次用 户日志 Y1 , 将用户日志 XI 中起呼时刻减去用户日志 Y1结束通话时刻的 差八和丁2进行比较， 如果△小于 T2, 则记录该用户疑似死机、 脱网， 计 数器 B1加 1。 同一用户在 T1时间段中发生所述△超过 T2的 IMEI附着位 置区更新或 IMEI附着路由区更新愈多， 则计数器 B1愈多大。
步骤 205: 参照图 3 , 网络侧信令监测和分析系统统计 T1时间段内所 有和业务相关的用户日志 X2, 根据这些用户日志 X2搜索每个用户最近一 次业务相关用户日志 Y2, 将用户日志 X2中起呼时刻减去用户日志 Y2结 束通话时刻的差八和 T2进行比较， 如果△小于 T2, 则记录该用户疑似呼 叫掉线，计数器 B2加 1。 同一用户在 T1时间段中发生△超过 T2的呼叫次 数愈多， 则计数器 B2愈多大。
步骤 206: 将每个用户该 T1时间段的计数器 B1或计数器 B2, 同 T3 比较， 或判决是否落在 T3-T4区间， 如果 B1或 B2大于 T3或落在 T3-T4 区间内， 则针对单个用户给出专家提示， 并形成统计记录进行存储， 所述 统计记录应当包括用户标识字段、 疑似脱网死机频次字段、 呼叫掉线频次 字段、 专家提示字段等， 所述统计记录可用于与用户日志进行关联， 执行 后续步骤的分类统计。
步骤 207: 网络侧信令监测和分析系统可在步骤 201到 206基础上，按 照选定小区、 小区组、 终端类型和时间区间进行分类， 从不同角度来反映 网络覆盖布局和用户设备性能， 疑似脱网、 死机频次和呼叫掉线频次的分 布。
其中，终端类型基于 IMEI前八位数字进行区分，即 TAC( Type Approval Code, 设备型号核准号码）和 FAC ( Final Assembly Code, 最后装配号码）。
步骤 208: 网络侧信令监测和分析系统可根据用户日志记录 Y1和 Y2 中的业务服务类型， 进行用户空闲态下或连接态下， 针对业务服务类型的 脱网、 死机或呼叫掉线的分类统计。
步骤 209: 网络侧信令监测和分析系统对统计结果进行展示。
图 4为本发明基于本发明提出的用户设备待机状态行为评估方法提出 的用户设备待机状态行为评估装置的结构示意图， 该装置包括： 釆集模块、 频次统计模块、 分类统计模块。
釆集模块， 位于 RNC, 用于釆集全网用户呼叫过程的用户日志， 所述 用户日志至少包含用户标识、 起呼小区标识、 业务服务类型、 起呼时刻和 结束呼叫时刻；
频次统计模块， 用于在给定统计时间段内， 基于所述用户日志统计疑 似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次， 并生成针对单个用户在给 定统计时间段内的疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次的统计 结果记录。
频次统计模块进一步包括：
第一频次统计模块， 用于基于所述用户日志进行疑似呼叫掉线频次的 统计； 该模块判断同一用户的连续两个用户日志中， 后一用户日志的起呼 时刻和前一用户日志的结束呼叫时刻的差值是否小于用户连续呼叫容忍时 间间隔， 在该差值小于用户连续呼叫容忍时间间隔时， 累加疑似呼叫掉线 频次统计值； 第二频次统计模块， 用于基于所述用户日志进行疑似死机和 /或脱网频 次的统计； 该模块在所述用户日志包含位置区更新信息和 /或路由区更新信 息，且位置区更新类型和 /或路由区更新类型为 IMSI附着时，判断该用户日 志中的起呼时刻与同一用户的前一次用户曰志的结束呼叫时刻的差值是否 小用户连续呼叫容忍时间间隔， 在该差值小于用户连续呼叫容忍时间间隔 时， 累加疑似死机和 /或脱网频次统计值。
所述装置还进一步包括分类统计模块， 该模块用于基于 RNC所釆集到 的用户日志及频次统计模块获得的针对单个用户在给定统计时间段内的疑 似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次的统计结果记录， 从多维度 对用户设备在待机状态下的行为进行分类统计。
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保护 范围。

Claims

权利要求书
1、 一种用户设备待机状态行为评估方法， 其特征在于， 包括： 无线网络控制器 RNC釆集全网用户呼叫过程的用户日志， 所述用户日 志至少包含用户标识、 起呼小区标识、 业务服务类型、 起呼时刻和结束呼 叫时刻；
在给定统计时间段内， 基于所述用户日志统计疑似呼叫掉线频次、 和 / 或疑似死机和 /或脱网频次。
2、 根据权利要求 1所述的方法， 其特征在于， 所述基于所述用户日志 统计疑似呼叫掉线频次的方法为：
判断同一用户的连续两个用户日志中， 后一用户日志的起呼时刻和前 一用户日志的结束呼叫时刻的差值是否小于用户连续呼叫容忍时间间隔， 在该差值小于所述用户连续呼叫容忍时间间隔时， 累加疑似呼叫掉线频次 统计值。
3、 根据权利要求 2所述的方法， 其特征在于， 所述同一用户的连续两 个用户日志的业务服务类型均为基于无线接入承载（RAB ) 业务的呼叫。
4、 根据权利要求 1所述的方法， 其特征在于，
若所述业务服务类型为位置区更新和 /或路由区更新， 则所述用户日志 还包含位置区更新信息和 /或路由区更新信息， 所述位置区更新信息包含位 置区更新类型， 所述路由区更新信息包含路由区更新类型；
所述基于所述用户日志统计疑似死机和 /或脱网频次的方法为： 当所述用户日志包含位置区更新信息和 /或路由区更新信息， 且位置区 更新类型和 /或路由区更新类型为国际移动用户识别码（IMSI ) 附着时， 判 断该用户日志中的起呼时刻与同一用户的前一次用户日志的结束呼叫时刻 的差值是否小用户连续呼叫容忍时间间隔， 若该差值小于所述用户连续呼 叫容忍时间间隔， 则累加疑似死机和 /或脱网频次统计值。
5、 根据权利要求 4所述的方法， 其特征在于， 当所述用户日志同时包 含位置区更新信息和路由区更新信息时， 只以位置区更新信息为准， 进行 疑似死机和 /或脱网频次的统计。
6、 根据权利要求 1 所述的方法， 其特征在于， 所述无线网络控制器 RNC支持非接入层位置区更新和路由区更新消息的解析。
7、 根据权利要求 1所述的方法， 其特征在于， 所述方法还包括分类统 计的步骤， 具体为：
基于无线网络控制器 RNC所釆集到的用户日志， 在获得针对单个用户 在给定统计时间段内的疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次的 统计结果记录后， 从多维度针对所获得的统计结果记录进行分类统计。
8、 根据权利要求 7所述的方法， 其特征在于， 所述方法还包括： 预先设定针对疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次的不同 门限或门限区间， 当单个用户在所述统计时间段内的疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次大于或落入所设定的门限或门限区间时， 在所 述统计结果记录中给出专家提示。
9、 根据权利要求 1所述的方法， 其特征在于， 所述方法还包括： 基于 无线网络控制器 RNC所釆集到的用户日志， 按照前次用户日志的业务服务 类型进行针对某类业务的疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次 的统计步骤。
10、 一种用户设备待机状态行为评估装置， 其特征在于， 该装置包括： 釆集模块， 位于无线网络控制器 RNC, 用于釆集全网用户呼叫过程的 用户日志， 所述用户日志至少包含用户标识、 起呼小区标识、 业务服务类 型、 起呼时刻和结束呼叫时刻；
频次统计模块， 用于在给定统计时间段内， 基于所述用户日志统计疑 似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次， 并负责生成针对单个用户 在给定统计时间段内的疑似呼叫掉线频次、 和 /或疑似死机和 /或脱网频次的 统计结果记录。
11、 根据权利要求 10所述的装置， 其特征在于， 所述频次统计模块包 括：
第一频次统计模块， 用于基于所述用户日志进行疑似呼叫掉线频次的 统计； 该模块判断同一用户的连续两个用户日志中， 后一用户日志的起呼 时刻和前一用户日志的结束呼叫时刻的差值是否小于用户连续呼叫容忍时 间间隔， 在该差值小于用户连续呼叫容忍时间间隔时， 累加疑似呼叫掉线 频次统计值；
第二频次统计模块， 用于基于所述用户日志进行疑似死机和 /或脱网频 次的统计； 该模块在所述用户日志包含位置区更新信息和 /或路由区更新信 息，且位置区更新类型和 /或路由区更新类型为 IMSI附着时，判断该用户日 志中的起呼时刻与同一用户的前一次用户曰志的结束呼叫时刻的差值是否 小用户连续呼叫容忍时间间隔， 在该差值小于用户连续呼叫容忍时间间隔 时， 累加疑似死机和 /或脱网频次统计值。
12、 根据权利要求 10所述的装置， 其特征在于， 所述装置还包括： 分类统计模块， 用于基于无线网络控制器 RNC所釆集到的用户日志及 频次统计模块获得的针对单个用户在给定统计时间段内的疑似呼叫掉线频 次、 和 /或疑似死机和 /或脱网频次的统计结果记录， 从多维度对用户设备在 待机状态下的行为进行分类统计。
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