JP5239749B2 - Communication quality management system, communication detection device, network management device, communication quality management method, and communication detection program - Google Patents

Communication quality management system, communication detection device, network management device, communication quality management method, and communication detection program Download PDF

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JP5239749B2
JP5239749B2 JP2008280176A JP2008280176A JP5239749B2 JP 5239749 B2 JP5239749 B2 JP 5239749B2 JP 2008280176 A JP2008280176 A JP 2008280176A JP 2008280176 A JP2008280176 A JP 2008280176A JP 5239749 B2 JP5239749 B2 JP 5239749B2
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吉則 渡辺
泰彦 松永
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本発明は、通信エリア内の移動端末ごとに通信品質の指標を管理する通信品質管理システム、及びその通信品質管理システムに適用される通信検知装置、網管理装置、通信品質管理方法、通信検知プログラム、及び網管理プログラムに関する。   The present invention relates to a communication quality management system that manages a communication quality index for each mobile terminal in a communication area, and a communication detection device, a network management device, a communication quality management method, and a communication detection program applied to the communication quality management system. And a network management program.

携帯端末などに代表される移動端末を接続する無線通信網が発達している。例えば、通信事業者は通信網の通信品質や通信装置などの稼働状況を監視し、障害時には迅速な対応をとることが求められている。   Wireless communication networks that connect mobile terminals such as portable terminals have been developed. For example, telecommunications carriers are required to monitor the communication quality of communication networks and the operating status of communication devices, and take prompt action in the event of a failure.

図23は、本発明に関連する移動体通信網の構成の例を示したブロック図である。図23に示す移動体通信網は、移動端末10〜14と、無線基地局30〜32と、無線基地局制御装置100aと、網管理装置200aとを備えている。   FIG. 23 is a block diagram showing an example of the configuration of a mobile communication network related to the present invention. The mobile communication network shown in FIG. 23 includes mobile terminals 10 to 14, radio base stations 30 to 32, a radio base station control device 100a, and a network management device 200a.

無線基地局30〜32は、例えば、電波を送受信して移動端末10〜14との通信回線を確保する無線通信装置である。移動端末10及び移動端末11は、無線基地局30に無線リンク20,21を介して接続される。同様に、移動端末12は、無線基地局31に無線リンク22を介して接続され、移動端末13及び移動端末14は、無線基地局32に無線リンク23,24を介して接続される。また、無線基地局30〜32の周囲には、移動端末との無線リンクが有効な範囲として無線セル80〜82が設けられている。   The radio base stations 30 to 32 are radio communication apparatuses that secure communication lines with the mobile terminals 10 to 14 by transmitting and receiving radio waves, for example. The mobile terminal 10 and the mobile terminal 11 are connected to the radio base station 30 via radio links 20 and 21. Similarly, the mobile terminal 12 is connected to the radio base station 31 via the radio link 22, and the mobile terminal 13 and the mobile terminal 14 are connected to the radio base station 32 via the radio links 23 and 24. In addition, wireless cells 80 to 82 are provided around the wireless base stations 30 to 32 as a range in which a wireless link with a mobile terminal is effective.

無線基地局制御装置100aは、無線基地局30〜32を制御する装置である。無線基地局制御装置100aは、配下の無線基地局30〜32と、有線リンク40a〜42aを介して、通信トラフィック及び制御トラフィックの送受信を行う。   The radio base station control device 100a is a device that controls the radio base stations 30 to 32. The radio base station control device 100a transmits and receives communication traffic and control traffic via the radio base stations 30 to 32 under control and the wired links 40a to 42a.

また、無線基地局制御装置100aは、移動通信コア網60aに有線リンク43aを介して接続される。移動通信コア網60aは、例えば、他の交換局やサーバ装置等を含む通信ネットワークである。   The radio base station control device 100a is connected to the mobile communication core network 60a via a wired link 43a. The mobile communication core network 60a is a communication network including, for example, other exchanges and server devices.

このような通信網では、無線基地局制御装置100aなどの網側通信装置から通信品質に関する指標を取得し、その指標を予め定められた閾値と比較することによって通信網の稼動状況の異常を検出する。例えば、図23に示す移動体通信網では、網管理装置200aが無線基地局制御装置100aおよび移動通信コア網60a内部の交換局やサーバ装置(図示せず)と有線リンク44a,45aを介して接続される。通信事業者は網管理装置200aが網側通信装置から定期的に取得した通信品質の指標を参照して、通信装置の故障や通信サービスの品質劣化を監視する。   In such a communication network, an index relating to communication quality is obtained from a network-side communication apparatus such as the radio base station control apparatus 100a, and an abnormality in the operation status of the communication network is detected by comparing the index with a predetermined threshold. To do. For example, in the mobile communication network shown in FIG. 23, the network management device 200a is connected to the radio base station control device 100a and the exchange station or server device (not shown) in the mobile communication core network 60a via wired links 44a and 45a. Connected. The communication carrier refers to the communication quality index periodically acquired from the network side communication device by the network management device 200a, and monitors the failure of the communication device and the quality deterioration of the communication service.

非特許文献1には、通信網に対する通信品質の指標の一例が記載されている。非特許文献1には、3GPP(3rd Generation Partnership Program)の仕様に基づく移動通信網の無線基地局制御装置において、無線セル毎に定期的に取得すべき通信品質の情報が規定されている。例えば、これらの通信品質の情報として、単位時間あたりの無線アクセスベアラの確立試行回数、確立失敗回数、異常解放回数などが規定されている。これらの情報から、無線アクセスベアラの確立失敗確率や異常開放の確率などの通信品質の指標を計算し、これらの指標が所定の閾値より大きな場合に異常と判断する。   Non-Patent Document 1 describes an example of a communication quality index for a communication network. Non-Patent Document 1 defines communication quality information to be periodically acquired for each radio cell in a radio base station control device of a mobile communication network based on the specifications of 3GPP (3rd Generation Partnership Program). For example, as the information on the communication quality, the number of establishment attempts of radio access bearers per unit time, the number of establishment failures, the number of abnormal releases, and the like are defined. From these pieces of information, communication quality indicators such as the probability of establishment failure of radio access bearers and the probability of abnormal release are calculated. If these indicators are larger than a predetermined threshold, it is determined that there is an abnormality.

このように検出された通信品質の異常に対処する際には、通信網内の装置(網側装置と記載することもある。)の故障など通信エリア内で広範囲の端末に著しい品質劣化を及ぼす致命的なものから優先して迅速に対処することが重要となる。そのためには、検出された通信品質の異常に対して品質劣化を被る端末数の規模を迅速に評価する必要がある。   When dealing with the communication quality abnormality detected in this way, a significant deterioration in quality is caused to a wide range of terminals in the communication area, such as a failure of a device in the communication network (sometimes referred to as a network side device). It is important to deal quickly with priority from the fatal ones. For this purpose, it is necessary to quickly evaluate the scale of the number of terminals that suffer quality degradation with respect to the detected communication quality abnormality.

品質劣化を被る端末数の規模を評価する第1の技術として、故障通知メッセージを分析する方法が存在する。故障通知メッセージとは装置の故障を通知するメッセージである。例えば図23に示す移動体通信網では、無線基地局制御装置100aと無線基地局30のように互いに対向する通信装置の間で故障が発生したときに、無線基地局制御装置100aまたは無線基地局30が網管理装置200aに対して故障通知メッセージを送信する。   As a first technique for evaluating the scale of the number of terminals that suffer quality degradation, there is a method of analyzing a failure notification message. The failure notification message is a message for notifying a device failure. For example, in the mobile communication network shown in FIG. 23, when a failure occurs between communication devices facing each other such as the radio base station control device 100a and the radio base station 30, the radio base station control device 100a or the radio base station 30 transmits a failure notification message to the network management apparatus 200a.

この方法では、検出された異常に対して原因を推定し、推定された原因が網側の装置故障を示す場合に、その装置の配下にある広範囲の端末が品質劣化を被ると評価する。一方、その他の場合には、品質劣化を被るのは一部の端末に限られると評価する。   In this method, the cause is estimated for the detected abnormality, and when the estimated cause indicates a device failure on the network side, it is evaluated that a wide range of terminals under the device suffers quality degradation. On the other hand, in other cases, it is evaluated that quality degradation is limited to some terminals.

特許文献1には、検出した異常の原因を特定する方法として、故障が発生した場合に故障要因を特定する故障措置方法が記載されている。特許文献1に記載された故障措置方法は、トラフィック情報収集や、診断・試験、装置切換え等の個々の動作シナリオをあらかじめ準備しておく。要因特定・故障措置部は、動作シナリオに従って、トラフィック情報収集による影響把握や、診断・試験による要因特定を自動的に実施し、故障要因を特定する。   Japanese Patent Application Laid-Open No. 2004-228561 describes a failure countermeasure method for specifying a failure factor when a failure occurs as a method for specifying the cause of the detected abnormality. In the failure countermeasure method described in Patent Document 1, individual operation scenarios such as traffic information collection, diagnosis / test, and device switching are prepared in advance. The factor identification / fault countermeasure section identifies the cause of the failure by automatically identifying the influence by collecting traffic information and identifying the factor by diagnosis / test according to the operation scenario.

また、品質劣化を被る端末数の規模を評価する第2の技術として、通信品質の指標(品質指標)を分析する方法が存在する。この方法では、通信エリア単位で観測した品質指標に対して異常性の度合い(異常度)を算出し、品質指標の異常度が高い場合には網側の装置故障など致命的な事象が発生したと判断して、通信エリア配下にある広範囲の端末が品質劣化を被ると評価する。一方、品質指標の異常度が低い場合には、特定の移動端末の故障や電波の局所的な不感知での通話などが主な原因であるとみなして、品質劣化を被るのは一部の端末に限られると評価する。   Further, as a second technique for evaluating the scale of the number of terminals that suffer quality degradation, there is a method of analyzing a communication quality index (quality index). In this method, the degree of abnormality (abnormality) is calculated for the quality index observed in communication area units, and if the quality index is high, a fatal event such as a network-side device failure has occurred. Therefore, it is evaluated that a wide range of terminals under the communication area suffer from quality degradation. On the other hand, when the degree of anomaly of the quality index is low, it is considered that the failure is caused by a specific mobile terminal or a call due to local insensitivity of radio waves, etc. Evaluate to be limited to terminals.

特許文献2には、品質指標の異常性の度合いを算出する異常検出システムが記載されている。特許文献2に記載された異常検出システムでは、例えば、正常時の通信エリアの通信品質を品質指標値の統計分布として事前にモデル化しておき、通信の試行数に応じて、その品質モデルに対する統計的外れ度合いをもとに異常度を算出する。 Patent Document 2 describes an abnormality detection system that calculates the degree of abnormality of a quality index . The abnormality detecting system according to Patent Document 2, for example, leave modeled in advance the communication quality of the communication area of the normal statistical distribution of the quality index value, in accordance with the number of trials of the communication, for the quality model The degree of abnormality is calculated based on the degree of statistical deviation.

また、品質劣化を被る端末数の規模を評価する第3の技術として、通信装置内部のプロセス・ログを分析する方法が存在する。特許文献3には、通信装置内部のプロセス・ログの一例が記載されている。特許文献3に記載されたプロセス・ログは呼処理警報ログと呼ばれるもので、通信装置内部の呼処理の途中で生じた通信イベントの異常切断に対して異常切断が生じた処理の箇所や異常切断の発生理由などの情報を含んでいる。例えば、図23に示す移動体通信網では、呼処理警報ログは発生日時や異常切断に関わる通信ノードなどの情報を伴った時系列のログとして無線基地局制御装置100aや網管理装置200aが備える記録装置に蓄積される。   As a third technique for evaluating the scale of the number of terminals that suffer quality degradation, there is a method of analyzing a process log inside a communication device. Patent Document 3 describes an example of a process log inside a communication device. The process log described in Patent Document 3 is called a call processing alarm log, and the processing location or abnormal disconnection in which an abnormal disconnection occurs in response to an abnormal disconnection of a communication event that occurred in the middle of the call processing in the communication device. It contains information such as the reason for the occurrence. For example, in the mobile communication network shown in FIG. 23, the call processing alarm log is provided in the radio base station control apparatus 100a and the network management apparatus 200a as a time-series log accompanied by information such as the date and time of occurrence and a communication node related to abnormal disconnection. Accumulated in the recording device.

通信装置内部のプロセス・ログを分析する方法では、異常切断に関わる通信ノードの情報から品質異常を被る端末を特定し、異常切断を被る端末数が多い通信エリアに対しては、その通信エリアの配下にある広範囲の端末が品質劣化を被ると評価する。一方、異常切断を被る端末数が少ない通信エリアに対しては、品質劣化を被るのは一部の端末に限られると評価する。   In the method of analyzing the process log inside the communication device, the terminal that suffers from the quality abnormality is identified from the information of the communication node related to the abnormal disconnection. Evaluate that a wide range of terminals under its control suffer quality degradation. On the other hand, for a communication area where the number of terminals that undergo abnormal disconnection is small, it is evaluated that quality degradation is limited to some terminals.

品質劣化を被る端末数の規模を評価する第1から第3の技術を、単独で用いる場合もあれば、組み合わせて用いる場合もある。例えば、第1の技術により特定された原因が網側の装置故障を示さない場合には、第2の技術を用いて品質指標の異常度から品質劣化を被る端末数の規模を評価する。さらに詳細に分析したい場合には通信装置内部のプロセス・ログを取得して、品質劣化を被る端末数の規模を評価するという第3の技術による方法を用いる。   The first to third techniques for evaluating the scale of the number of terminals that suffer quality degradation may be used alone or in combination. For example, when the cause specified by the first technique does not indicate a network-side device failure, the second technique is used to evaluate the scale of the number of terminals that suffer quality degradation from the degree of abnormality of the quality index. If a more detailed analysis is desired, a method based on the third technique is used in which a process log inside the communication apparatus is acquired and the scale of the number of terminals that suffer quality degradation is evaluated.

特開2004−80297号公報(段落0032、図4、5)JP 2004-80297 A (paragraph 0032, FIGS. 4 and 5) 特開2006−340050号公報(段落0012〜0015、0036〜0038、図3)JP 2006-340050 A (paragraphs 0012 to 0015, 0036 to 0038, FIG. 3) 特開平11−261471号公報(段落0011〜0013、図1)Japanese Patent Laid-Open No. 11-261471 (paragraphs 0011 to 0013, FIG. 1) 3GPP TS 32.410、"Telecommunication management; Key Performance Indicators (KPI) for UMTS and GSM (Release 8)"、2008.3GPP TS 32.410, "Telecommunication management; Key Performance Indicators (KPI) for UMTS and GSM (Release 8)", 2008.

第1の技術では、網側の装置故障の有無を予め故障通知メッセージから特定する必要がある。しかし、故障の通知機能それ自体に故障が生じた場合は、適切な故障通知メッセージが出力されないことがある。そのため、通信品質の異常が検出されても、故障通知メッセージが出力されないために品質劣化を被る端末数の規模を過小評価してしまう場合があるという課題がある。   In the first technique, it is necessary to specify in advance from the failure notification message whether there is a device failure on the network side. However, when a failure occurs in the failure notification function itself, an appropriate failure notification message may not be output. For this reason, there is a problem in that even if a communication quality abnormality is detected, a failure notification message is not output, so that the scale of the number of terminals that suffer quality degradation may be underestimated.

第2の技術では、通信エリア単位で観測した品質指標に対して異常度を適切に評価する必要がある。しかし、トラフィックが比較的少ない無線セルにおいては、その無線セルの品質指標の異常度が高い値を示していても、実際には一部の端末が電波の不感地付近で通信に失敗しただけで、その他の大部分の端末の通信は正常であるという場合が少なからずある。そのため、このような場合には品質劣化を被る端末数の規模を実際よりも過大評価してしまうという課題がある。   In the second technique, it is necessary to appropriately evaluate the degree of abnormality with respect to the quality index observed in communication area units. However, in a wireless cell with relatively little traffic, even if the quality indicator of the wireless cell shows a high degree of anomaly, in reality, some terminals simply failed to communicate near the dead zone In many cases, communication of most other terminals is normal. Therefore, in such a case, there is a problem of overestimating the scale of the number of terminals that are subject to quality degradation.

これらの問題点は、第3の技術、すなわち、通信装置内部のプロセス・ログを予め網側通信装置から網管理装置に収集し、品質異常を被る端末数を網管理装置側で集計する方法により解決できる場合がある。しかし、プロセス・ログは異常切断した通信イベントに関する詳細な情報を含んでいるためデータ量が膨大であり、さらに、通信サービスを広域に提供する移動通信網においては、網管理装置が管理する通信エリアは多い。そのため、網側装置から網管理装置にプロセス・ログを収集するには一般に多くの時間を要する。   These problems are caused by the third technique, that is, a method in which process logs in the communication device are collected in advance from the network side communication device to the network management device, and the number of terminals suffering from quality abnormalities is totaled on the network management device side. There are cases where it can be solved. However, since the process log contains detailed information on abnormally disconnected communication events, the amount of data is enormous. Furthermore, in mobile communication networks that provide communication services over a wide area, the communication area managed by the network management device There are many. Therefore, it generally takes a lot of time to collect process logs from the network side device to the network management device.

また、通信エリアごとに品質異常を被る端末数を集計すると、網管理装置などに膨大な記憶容量が必要となり、この記憶容量を抑えるためにデータを分割して集計すると、今度は集計に要する時間が増大する。このように、第3の技術は、データの収集と集計に多くの資源や時間を要するため、この技術を用いて品質劣化を被る端末数の規模を迅速に評価するのは難しいという課題がある。   In addition, when the number of terminals that suffer from quality abnormalities is counted for each communication area, a huge amount of storage capacity is required for network management devices. Will increase. As described above, since the third technique requires a lot of resources and time for data collection and aggregation, there is a problem that it is difficult to quickly evaluate the scale of the number of terminals that suffer quality degradation using this technique. .

これらの課題が特に顕在化するのは、トラフィックが比較的少ない無線セルにおいて網側の装置故障が生じ、同時に故障の通知機能も故障して適切な故障通知メッセージが出力されない場合である。この場合は、通信品質の異常が検出されたとしても、上記第1および第2の技術の課題にもあるように、電波の局所的な不感地や端末故障などによる品質劣化と区別するのが難しく、検出された異常の原因を適切に判断するのが難しいという課題があった。   These problems become particularly apparent when a network-side device failure occurs in a wireless cell with relatively little traffic, and at the same time, the failure notification function fails and an appropriate failure notification message is not output. In this case, even if a communication quality abnormality is detected, it can be distinguished from quality deterioration due to local dead areas of radio waves or terminal failures, as in the problems of the first and second technologies. There is a problem that it is difficult to appropriately determine the cause of the detected abnormality.

さらに、第3の技術を用いた場合、詳細な分析には多くの時間が必要となる。そのため、頻繁に発生するこのような局所的な品質劣化の判別に多くの時間を要し、網側の装置故障など迅速な対処が必要な致命的な障害への対応が遅れるという課題があった。   Furthermore, when the third technique is used, a long time is required for detailed analysis. For this reason, it takes a lot of time to determine the local quality degradation that occurs frequently, and there is a problem that the response to a fatal failure that requires quick action such as network equipment failure is delayed. .

そこで、本発明は、品質劣化を被る端末数の規模の評価、及び品質劣化の原因の推定を、必要な記憶容量を抑えて正確に行うことができる通信品質管理システム、及びその通信品質管理システムに適用される通信検知装置、網管理装置、通信品質管理方法、通信検知プログラム、及び網管理プログラムを提供することを目的とする。   Therefore, the present invention provides a communication quality management system capable of accurately evaluating the scale of the number of terminals suffering quality degradation and estimating the cause of the quality degradation while suppressing a necessary storage capacity, and the communication quality management system thereof An object of the present invention is to provide a communication detection device, a network management device, a communication quality management method, a communication detection program, and a network management program that are applied to the network.

本発明による通信品質管理システムは、移動体通信網に接続され、通信エリア内の通信を検知する通信検知装置と、移動体通信網に接続され、通信検知装置が検知した通信の情報をもとに、通信の品質を分析する網管理装置とを備え、通信検知装置が、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、通信の失敗回数と、通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、移動端末ごとに通信の失敗に関する情報を含む端末失敗情報とを記憶する通信情報記憶手段と、通信エリア内の通信の試行及び通信の失敗を検出する検出手段と、検出手段が通信の試行及び通信の失敗を検知したときに、通信の試行回数及び通信の失敗回数をもとに期間通信情報を集計して、通信情報記憶手段に登録する通信情報登録手段と、検出手段が、通信の失敗を検出したときに、通信に失敗した移動端末を、通信品質の算出対象とする管理対象端末として特定する管理対象端末特定手段と、管理対象端末特定手段が特定した管理対象端末ごとに端末失敗情報を集計して、通信情報記憶手段に登録する端末集計情報登録手段を備え、網管理装置が、通信情報記憶手段に記憶された期間通信情報をもとに、通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率を算出する端末失敗率算出手段と、通信情報記憶手段に記憶された端末失敗情報、及び端末失敗率をもとに、品質劣化を被る端末数の規模を評価する劣化規模評価手段と、端末数の規模をもとに、品質劣化の原因を推定する劣化原因推定手段とを備え、劣化規模評価手段が、端末失敗率が所定の閾値以上の場合に品質劣化を被る端末数の規模を大規模と判断し、劣化原因推定手段が、劣化規模評価手段が品質劣化を被る端末数の規模を大規模と判断したときに、移動端末と通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定することを特徴とする。 A communication quality management system according to the present invention is connected to a mobile communication network and detects a communication in a communication area, and a communication detection device connected to the mobile communication network and detected by the communication detection device. And a network management device for analyzing the quality of communication, and the communication detection device performs the number of communication attempts performed by the mobile terminal in the communication area in a predetermined period, the number of communication failures, and the movement that has failed in communication. Communication information storage means for storing period communication information including the number of failed terminals indicating the total number of terminals, and terminal failure information including information related to communication failure for each mobile terminal, communication attempts and communication in the communication area A detecting means for detecting failure, and when the detecting means detects a communication attempt and a communication failure, the period communication information is totaled based on the number of communication attempts and the number of communication failures, and is stored in the communication information storage means. Communication information to register When the registration unit and the detection unit detect a communication failure, a management target terminal specifying unit that specifies a mobile terminal that has failed in communication as a management target terminal for which communication quality is to be calculated, and a management target terminal specifying unit The terminal management information registration means for totaling terminal failure information for each management target terminal specified by the network and registering it in the communication information storage means is provided, and the network management device is based on the period communication information stored in the communication information storage means. A terminal failure rate calculating means for calculating a terminal failure rate indicating a ratio of the number of terminals that have failed in communication with respect to the number of mobile terminals that have performed communication, terminal failure information stored in the communication information storage means, and a terminal failure rate. to the original, and the deterioration scale evaluation means for evaluating the number of terminals of scale that suffer the quality deterioration, on the basis of the scale of the number of terminals, and a deterioration cause estimation means for estimating the cause of quality deterioration, the deterioration scale evaluation means , Terminal When the loss rate is equal to or higher than a predetermined threshold, the number of terminals that are subject to quality degradation is judged to be large, and the cause-of-degradation estimation means has judged that the number of terminals that are subject to quality degradation is large. Sometimes, it is estimated that a failure of a network side device that relays communication between a mobile terminal and a communication detection device or a relay line that relays communication is a cause of quality degradation .

本発明による通信検知装置は、移動体通信網に接続される通信検知装置であって、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、通信の失敗回数と、通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、移動端末ごとに通信の失敗に関する情報を含む端末失敗情報とを記憶する通信情報記憶手段と、通信エリア内の通信の試行及び通信の失敗を検出する検出手段と、検出手段が通信の試行及び通信の失敗を検知したときに、通信の試行回数及び通信の失敗回数をもとに期間通信情報を集計して、通信情報記憶手段に登録する通信情報登録手段と、検出手段が、通信の失敗を検出したときに、通信に失敗した移動端末を、通信品質の算出対象とする管理対象端末として特定する管理対象端末特定手段と、管理対象端末特定手段が特定した管理対象端末ごとに端末失敗情報を集計して、通信情報記憶手段に登録する端末集計情報登録手段を備え、通信情報記憶手段が、移動体通信網に接続される網管理装置であって、通信エリア内で通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率が所定の閾値以上の場合に、移動端末と通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定する網管理装置によって参照されることを特徴とする。 A communication detection apparatus according to the present invention is a communication detection apparatus connected to a mobile communication network, and the number of communication attempts performed by a mobile terminal in a communication area during a predetermined period, the number of communication failures, and communication. Communication information storage means for storing period communication information including the number of failed terminals indicating the total number of failed mobile terminals, terminal failure information including information regarding communication failure for each mobile terminal, and communication attempt within the communication area And detecting means for detecting a communication failure, and when the detecting means detects a communication attempt and a communication failure, the communication information is totaled based on the number of communication attempts and the number of communication failures. Communication information registration means for registering in the storage means, and when the detection means detects a communication failure, a management target terminal specifying means for specifying a mobile terminal that has failed in communication as a management target terminal for calculating communication quality When Aggregates the terminal failure information for each managed terminal managed terminal identifying unit has identified, with terminal summary information registration means for registering in the communication information storage unit, the communication information storage means is connected to the mobile communication network Communication between a mobile terminal and a communication detection device when a terminal failure rate indicating a ratio of the number of terminals that have failed in communication to the number of mobile terminals that have performed communication within a communication area is equal to or greater than a predetermined threshold It is referred to by a network management apparatus that estimates that a failure of a network side apparatus that relays or a relay line that relays communication is a cause of quality degradation .

本発明による網管理装置は、移動体通信網に接続され、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、通信の失敗回数と、通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、通信に失敗した移動端末のうち、通信品質の算出対象として特定した管理対象端末ごとに、通信の失敗に関する情報を集計した端末失敗情報とを記憶する通信検知装置から、期間通信情報及び端末失敗情報を受信する網管理装置であって、通信検知装置に記憶された期間通信情報をもとに、通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率を算出する端末失敗率算出手段と、端末失敗情報、及び端末失敗率をもとに、品質劣化を被る端末数の規模を評価する劣化規模評価手段と、端末数の規模をもとに、品質劣化の原因を推定する劣化原因推定手段とを備え、劣化規模評価手段が、端末失敗率が所定の閾値以上の場合に品質劣化を被る端末数の規模を大規模と判断し、劣化原因推定手段が、劣化規模評価手段が品質劣化を被る端末数の規模を大規模と判断したときに、移動端末と通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定することを特徴とする。 A network management apparatus according to the present invention is connected to a mobile communication network, and the number of communication attempts performed by a mobile terminal in a communication area during a predetermined period, the number of communication failures, and the total number of mobile terminals that have failed in communication. The period communication information including the number of failed terminals shown, and the terminal failure information obtained by aggregating information related to the communication failure for each management target terminal specified as the communication quality calculation target among the mobile terminals that failed to communicate. A network management device that receives period communication information and terminal failure information from a communication detection device, and that has failed to communicate with the number of mobile terminals that have performed communication based on the period communication information stored in the communication detection device A terminal failure rate calculating means for calculating a terminal failure rate indicating the ratio of the number, a degradation scale evaluating means for evaluating the scale of the number of terminals suffering quality degradation based on the terminal failure information and the terminal failure rate, and the number of terminals Scale of Based, and a deterioration cause estimation means for estimating a cause of quality deterioration, the deterioration scale evaluating means, the size of the number of terminals suffer quality degradation when the terminal failure rate is not smaller than a predetermined threshold value is determined as large The degradation cause estimation means determines that the degradation scale evaluation means determines that the number of terminals suffering quality degradation is large, and the network side apparatus that relays communication between the mobile terminal and the communication detection apparatus or relay that relays communication. It is characterized in that a line failure is estimated as a cause of quality degradation .

本発明による通信品質管理方法は、通信エリア内の通信の試行及び通信の失敗を検出する検出ステップと、検出ステップで通信の失敗を検出したときに、通信に失敗した移動端末を、通信品質の算出対象とする管理対象端末として特定する管理対象端末特定ステップと、管理対象端末特定ステップで特定した管理対象端末ごとに通信の失敗に関する情報を含む端末失敗情報を集計して、通信情報記憶手段に登録する端末集計情報登録ステップと、検出ステップで通信の試行及び通信の失敗を検知したときに、通信の試行回数及び通信の失敗回数をもとに、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、通信の失敗回数と、通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報を集計して、通信情報記憶手段に登録する通信情報登録ステップと、通信情報記憶手段に記憶された期間通信情報をもとに、通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率を算出する端末失敗率算出ステップと、通信情報記憶手段に記憶された端末失敗情報、及び端末失敗率をもとに、品質劣化を被る端末数の規模を評価する劣化規模評価ステップと、端末数の規模をもとに、品質劣化の原因を推定する劣化原因推定ステップとを含み、劣化規模評価ステップで、端末失敗率が所定の閾値以上の場合に品質劣化を被る端末数の規模を大規模と判断し、劣化原因推定ステップで、品質劣化を被る端末数の規模を大規模と判断されたときに、移動端末と通信エリア内の通信を検知する通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定することを特徴とする。 A communication quality management method according to the present invention includes a detection step for detecting a communication attempt and a communication failure in a communication area, and a mobile terminal that has failed in communication when a communication failure is detected in the detection step. The management target terminal specifying step specified as the management target terminal to be calculated, and terminal failure information including information on communication failure for each management target terminal specified in the management target terminal specifying step are aggregated and stored in the communication information storage means When the terminal aggregation information registration step to be registered and the detection step detect a communication attempt and a communication failure, the mobile terminals in the communication area are in a predetermined period based on the number of communication attempts and the number of communication failures. The communication information is stored by summing up communication information for a period including the number of communication attempts performed, the number of communication failures, and the number of failed terminals indicating the total number of mobile terminals that failed to communicate. A terminal for calculating a terminal failure rate indicating the ratio of the number of terminals that have failed to communicate with the number of mobile terminals that have performed communication based on the communication information registration step registered in the communication information and the period communication information stored in the communication information storage means A failure rate calculating step, a terminal failure information stored in the communication information storage means, and a degradation scale evaluation step for evaluating the scale of the number of terminals that suffer quality degradation based on the terminal failure rate, and a scale of the number of terminals DOO, the saw including a deterioration cause estimation step of estimating a cause of quality degradation, in the deterioration scale evaluation step, the size of the number of terminals terminal failure rate suffer quality degradation in the case of more than the predetermined threshold value is determined as large The network side device or the communication that relays the communication between the mobile terminal and the communication detection device that detects the communication in the communication area when the number of terminals that are subject to the quality deterioration is determined to be large in the deterioration cause estimation step. In Failure of trunk line and estimates the cause of quality degradation.

本発明による通信検知方法は、通信エリア内の通信の試行及び通信の失敗を検出する検出ステップと、検出ステップで通信の失敗を検出したときに、通信に失敗した移動端末を、通信品質の算出対象とする管理対象端末として特定する管理対象端末特定ステップと、管理対象端末特定ステップで特定した管理対象端末ごとに通信の失敗に関する情報を含む端末失敗情報を集計して、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、その通信の失敗回数と、その通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、移動端末ごとに通信の失敗に関する情報を含む端末失敗情報とを記憶する通信情報記憶手段に登録する端末集計情報登録ステップと、検出ステップで通信の試行及び通信の失敗を検知したときに、通信の試行回数及び通信の失敗回数をもとに、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、通信の失敗回数と、通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報を集計して、通信情報記憶手段に登録する通信情報登録ステップとを含み、通信情報記憶手段が、通信エリア内で通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率が所定の閾値以上の場合に、移動端末と通信エリア内の通信を検知する通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定される際に参照されることを特徴とする。 A communication detection method according to the present invention includes a detection step for detecting communication attempts and communication failures in a communication area, and calculating a communication quality for a mobile terminal that has failed in communication when a communication failure is detected in the detection step. A mobile terminal in the communication area by collecting terminal failure information including information on communication failure for each management target terminal specified in the management target terminal specifying step, and a management target terminal specifying step that is specified as a target management target terminal Period communication information including the number of communication attempts performed in a predetermined period, the number of communication failures, and the number of failed terminals indicating the total number of mobile terminals that failed communication, and communication failures for each mobile terminal the terminal compiled information registration step of registering the communication information storage means for storing a terminal failure information including information, and detects a failure of the communication attempt and communication in the detection step In addition, based on the number of communication attempts and the number of communication failures, the number of communication attempts performed by the mobile terminals in the communication area in a predetermined period, the number of communication failures, and the total number of mobile terminals that failed to communicate It aggregates the period communication information including the number of failures terminal shown, seen including a communication information registration step of registering the communication information storage unit, the communication information storage unit, communication to the number of mobile terminals performing the communication in the communication area Network side device that relays communication between a mobile terminal and a communication detection device that detects communication within the communication area or relay that relays communication when the terminal failure rate indicating the ratio of the number of terminals that failed It is referred to when a line failure is estimated as a cause of quality degradation .

本発明による網管理方法は、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、通信の失敗回数と、通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報をもとに、通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率を算出する端末失敗率算出ステップと、通信に失敗した移動端末のうち、通信品質の算出対象として特定した管理対象端末ごとに、通信の失敗に関する情報を集計した端末失敗情報、及び端末失敗率をもとに、品質劣化を被る端末数の規模を評価する劣化規模評価ステップと、端末数の規模をもとに、品質劣化の原因を推定する劣化原因推定ステップとを含み、劣化規模評価ステップで、端末失敗率が所定の閾値以上の場合に品質劣化を被る端末数の規模を大規模と判断し、劣化原因推定ステップで、品質劣化を被る端末数の規模を大規模と判断されたときに、移動端末と通信エリア内の通信を検知する通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定することを特徴とする。 The network management method according to the present invention includes a period including the number of communication attempts performed by mobile terminals in a communication area in a predetermined period, the number of communication failures, and the number of failed terminals indicating the total number of mobile terminals that have failed in communication. Based on the communication information, a terminal failure rate calculating step for calculating a terminal failure rate that indicates a ratio of the number of terminals that have failed to communicate with the number of mobile terminals that have performed communication; A degradation scale evaluation step for assessing the scale of the number of terminals that suffer quality degradation based on the terminal failure information and the terminal failure rate obtained by summarizing communication failure information for each management target terminal specified as a calculation target, based on the number of scale, seen including a deterioration cause estimation step of estimating a cause of quality degradation, in the deterioration scale evaluation step, the number of terminals of the scale device failure rate suffer quality degradation in the case of more than a predetermined threshold value Large scale A network-side device that relays communication between a mobile terminal and a communication detection device that detects communication in the communication area when the number of terminals that are subject to quality deterioration is determined to be large in the deterioration cause estimation step Alternatively, it is presumed that a failure of a relay line that relays communication is estimated as a cause of quality degradation .

本発明による通信検知プログラムは、移動体通信網に接続されるコンピュータに搭載される通信検知プログラムであって、コンピュータに、通信エリア内の通信の試行及び通信の失敗を検出する検出処理、検出処理で、通信の失敗を検出したときに、通信に失敗した移動端末を、通信品質の算出対象とする管理対象端末として特定する管理対象端末特定処理、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、通信の失敗回数と、通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、移動端末ごとに通信の失敗に関する情報を含む端末失敗情報とを記憶する通信情報記憶手段に、管理対象端末特定処理で特定した管理対象端末ごとに端末失敗情報を集計して登録する端末集計情報登録処理、および、検出処理で通信の試行及び通信の失敗を検知したときに、通信の試行回数及び通信の失敗回数をもとに期間通信情報を集計して、通信情報記憶手段に登録する通信情報登録処理を実行させ、通信情報記憶手段が、通信エリア内で通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率が所定の閾値以上の場合に、移動端末と通信エリア内の通信を検知する通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定される際に参照されることを特徴とするA communication detection program according to the present invention is a communication detection program installed in a computer connected to a mobile communication network, and detects a communication attempt in a communication area and a communication failure in the computer. Thus, when a communication failure is detected, a managed terminal identification process for identifying a mobile terminal that has failed in communication as a managed terminal that is a communication quality calculation target, and a mobile terminal in the communication area performs during a predetermined period. Communication information for a period including the number of communication attempts, the number of communication failures, the number of failed terminals indicating the total number of mobile terminals that failed to communicate, and the terminal failure information including information related to communication failures for each mobile terminal. Terminal aggregation information registration processing for collecting and registering terminal failure information for each management target terminal identified in the management target terminal identification processing in the stored communication information storage means, and detection When detecting the failure of the communication attempt and communications management, the number of attempts and the number of unsuccessful communication of a communication by aggregating the period communication information based, to execute the communication information registration process for registering in the communication information storage unit The communication information storage means communicates with the mobile terminal in the communication area when the terminal failure rate indicating a ratio of the number of terminals that have failed in communication to the number of mobile terminals that have performed communication within the communication area is equal to or greater than a predetermined threshold. It is referred to when a failure of a network side device that relays communication with a communication detecting device to be detected or a failure of a relay line that relays communication is estimated to be the cause of quality degradation .

本発明による網管理プログラムは、移動体通信網に接続され、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、通信の失敗回数と、通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、通信に失敗した移動端末のうち、通信品質の算出対象として特定した管理対象端末ごとに、通信の失敗に関する情報を集計した端末失敗情報とを記憶する通信検知装置から、期間通信情報及び端末失敗情報を受信するコンピュータに搭載される網管理プログラムであって、コンピュータに、期間通信情報をもとに、通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率を算出する端末失敗率算出処理、端末失敗情報、及び端末失敗率をもとに、品質劣化を被る端末数の規模を評価する劣化規模評価処理、および、端末数の規模をもとに、品質劣化の原因を推定する劣化原因推定処理を実行させ、劣化規模評価処理で、端末失敗率が所定の閾値以上の場合に品質劣化を被る端末数の規模を大規模と判断させ、劣化原因推定処理で、品質劣化を被る端末数の規模を大規模と判断されたときに、移動端末と通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定させることを特徴とする。 The network management program according to the present invention is connected to a mobile communication network, and the number of communication attempts performed by a mobile terminal in a communication area during a predetermined period, the number of communication failures, and the total number of mobile terminals that have failed in communication. The period communication information including the number of failed terminals shown, and the terminal failure information obtained by aggregating information related to the communication failure for each management target terminal specified as the communication quality calculation target among the mobile terminals that failed to communicate. A network management program installed in a computer that receives period communication information and terminal failure information from a communication detection device, and failed to communicate with the number of mobile terminals that communicated with the computer based on the period communication information. A degradation rule that evaluates the scale of the number of terminals that suffer quality degradation based on the terminal failure rate calculation process that calculates the terminal failure rate that indicates the ratio of the number of terminals, the terminal failure information, and the terminal failure rate. Evaluation process, and, based on the scale of the number of terminals, to execute the deterioration cause estimation process for estimating the cause of quality degradation, in the deterioration scale evaluation processing, the terminal failure rate suffer quality degradation in the case of more than a predetermined threshold value A network-side device that relays communication between a mobile terminal and a communication detection device when the size of the number of terminals is determined to be large and the size of the number of terminals suffering quality degradation is determined to be large in the degradation cause estimation process Alternatively, it is characterized in that a failure of a relay line that relays communication is estimated as a cause of quality degradation .

本発明によれば、品質劣化を被る端末数の規模の評価、及び品質劣化の原因の推定を、必要な記憶容量を抑えて正確に行うことができる。   According to the present invention, it is possible to accurately evaluate the scale of the number of terminals suffering quality degradation and estimate the cause of quality degradation while suppressing the necessary storage capacity.

以下、本発明の実施形態を図面を参照して説明する。以下の説明では、移動通信コア網と無線基地局の間に基地局制御装置を備え、これらの移動通信網が網管理装置により管理される場合について説明するが、通信網の形態はこの内容に限定されない。例えば、基地局制御装置を備えずに移動通信コア網と無線基地局が制御信号を直接送受信する移動通信網や、網管理装置の機能が基地局制御装置あるいは無線基地局の内部に組み込まれた移動通信網であってもよい。   Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the following description, a case will be described in which a base station control device is provided between a mobile communication core network and a radio base station, and these mobile communication networks are managed by a network management device. It is not limited. For example, the mobile communication network in which the mobile communication core network and the radio base station directly transmit and receive control signals without the base station control device, and the function of the network management device are incorporated in the base station control device or the radio base station. It may be a mobile communication network.

また、以下の説明では、通信エリアの一例として、セルラー方式に基づく移動通信網が管理する無線セルを用いて説明するが、通信エリアは無線セルに限定されない。   In the following description, a wireless cell managed by a mobile communication network based on a cellular system will be described as an example of a communication area, but the communication area is not limited to a wireless cell.

実施形態1.
図1は、本発明の第1の実施形態における通信品質管理システムの一実施形態を示すブロック図である。本実施形態による通信品質管理システムは、無線基地局制御装置100と、網管理装置200とを備えている。無線基地局制御装置100と、網管理装置200とは、有線リンク44を介して接続される。
Embodiment 1. FIG.
FIG. 1 is a block diagram showing an embodiment of a communication quality management system according to the first embodiment of the present invention. The communication quality management system according to the present embodiment includes a radio base station control device 100 and a network management device 200. The radio base station control device 100 and the network management device 200 are connected via a wired link 44.

無線基地局制御装置100は、呼処理制御手段101と、品質統計管理手段106とを備えている。   The radio base station control device 100 includes call processing control means 101 and quality statistics management means 106.

呼処理制御手段101は、有線リンク40〜43を介して、移動通信コア網(図示せず)、及び無線基地局(図示せず)と接続し、これらの装置、及び移動端末(図示せず)と制御信号を送受信して通信の制御(以下、呼処理と記す。)を行う。   The call processing control means 101 is connected to a mobile communication core network (not shown) and a radio base station (not shown) via wired links 40 to 43, and these devices and mobile terminals (not shown). ) And a control signal to control communication (hereinafter referred to as call processing).

品質統計管理手段106は、通信イベント異常検出手段102と、観測端末選択手段103と、品質統計記憶手段104と、品質統計集計手段105とを備えている。   The quality statistics management means 106 includes a communication event abnormality detection means 102, an observation terminal selection means 103, a quality statistics storage means 104, and a quality statistics aggregation means 105.

通信イベント異常検出手段102は、呼処理制御手段101が制御する呼処理が正常に完了したか否かを判定し、異常切断など呼処理の異常を検出した場合は、発生日時、異常終了した通信イベント、異常な呼処理に関わる通信ノードなどの情報を収集する。   The communication event abnormality detection means 102 determines whether or not the call processing controlled by the call processing control means 101 has been normally completed. When an abnormality in call processing such as abnormal disconnection is detected, the occurrence date and time, the communication that has terminated abnormally Collect information such as communication nodes related to events and abnormal call processing.

品質統計記憶手段104は、観測期間の品質統計を一時的に記憶する記憶装置である。品質統計記憶手段104は、観測期間における通信イベントの試行回数や失敗回数など通信エリアの品質統計、及び通信エリアに存在する移動端末のうち、観測端末選択手段103が個別管理するグループに含めた移動端末の失敗回数などの品質統計を記憶する。   The quality statistics storage means 104 is a storage device that temporarily stores quality statistics for the observation period. The quality statistics storage means 104 includes quality statistics of the communication area such as the number of trials and failures of communication events during the observation period, and movements included in groups individually managed by the observation terminal selection means 103 among the mobile terminals existing in the communication area. Stores quality statistics such as the number of terminal failures.

観測端末選択手段103は、品質統計を個別管理する移動端末のグループを管理する。観測端末選択手段103が管理するこれらの移動端末は、管理対象端末と呼ぶこともできる。観測端末選択手段103は、通信イベント異常検出手段102が呼処理の異常を検出すると、観測端末選択手段103が管理するグループに含めるかどうか判断し、品質統計記憶手段104に記憶された移動端末のグループの内容を更新する。   The observation terminal selection means 103 manages a group of mobile terminals that individually manage quality statistics. These mobile terminals managed by the observation terminal selection means 103 can also be called managed terminals. When the communication event abnormality detection unit 102 detects a call processing abnormality, the observation terminal selection unit 103 determines whether or not to include in the group managed by the observation terminal selection unit 103, and the mobile terminal stored in the quality statistics storage unit 104 Update group content.

品質統計集計手段105は、通信呼が発生した通信エリアについて、通信イベントの試行回数や失敗回数などの品質統計を集計して品質統計記憶手段104に登録する。さらに、呼処理の異常が発生した場合には、観測端末選択手段103が個別管理の対象とした移動端末について、失敗回数などの品質統計を集計して品質統計記憶手段104に登録する。   The quality statistics totaling unit 105 totals quality statistics such as the number of communication event attempts and the number of failures for the communication area where the communication call has occurred, and registers it in the quality statistics storage unit 104. Further, when a call processing abnormality occurs, quality statistics such as the number of failures are aggregated and registered in the quality statistics storage means 104 by the observation terminal selection means 103 for the mobile terminals targeted for individual management.

図2は、本発明の第1の実施形態における品質統計記憶手段104のデータ構成の例を示す説明図である。品質統計記憶手段104は、品質統計の管理対象とする通信イベントの種別、通信エリア、観測期間、及び通信エリア単位で集計した通信イベントの試行回数と失敗回数、この通信エリアにおいて上記観測期間(本例では、2008年7月1日 0:00〜0:15。)に通信に失敗した端末数などの情報を記憶する。   FIG. 2 is an explanatory diagram illustrating an example of a data configuration of the quality statistics storage unit 104 according to the first embodiment of this invention. The quality statistics storage means 104 includes the type of communication event to be managed by the quality statistics, the communication area, the observation period, the number of communication event attempts and the number of failures, and the observation period (this In the example, information such as the number of terminals that failed to communicate is stored on July 1, 2008, 0: 0 to 0:15.

以下の説明では、無線基地局制御装置100が通信を行うエリアを通信エリアXと記載する。また、通信エリアXにおける通信イベントの試行回数を試行回数Ax、通信エリアXにおける通信の失敗回数の合計を失敗回数Fx、及びある観測期間内に通信エリアXで通信に失敗した端末数を失敗端末数Uxと記す。   In the following description, an area in which the radio base station control device 100 communicates is referred to as a communication area X. Also, the number of communication event attempts in communication area X is the number of attempts Ax, the total number of communication failures in communication area X is the number of failures Fx, and the number of terminals that have failed to communicate in communication area X within a certain observation period is the failed terminal. The number is written as Ux.

さらに、品質統計記憶手段104は、事前に定めた個数の移動端末について、端末識別番号、通信イベントの失敗回数、失敗回数の最終更新時刻などの情報を記憶する。事前に定めた個数とは、無線基地局制御装置100が、通信品質を算出する対象として選択する移動端末の上限を意味する。以下、この事前に定めた個数を上限Mと記す。また、移動端末ごとに、通信イベントの失敗回数を失敗回数fi(1≦i≦M)と記し、その失敗した回数の最終更新時刻を最終更新時刻ti(1≦i≦M)と記す。なお、試行回数Ax、失敗回数Fx、失敗端末数Ux、及び失敗回数fiは、いずれも0を初期値とする。   Furthermore, the quality statistics storage means 104 stores information such as the terminal identification number, the number of communication event failures, and the last update time of the number of failures for a predetermined number of mobile terminals. The predetermined number means the upper limit of mobile terminals that the radio base station control apparatus 100 selects as a target for calculating communication quality. Hereinafter, this predetermined number is referred to as an upper limit M. In addition, for each mobile terminal, the number of communication event failures is denoted as failure number fi (1 ≦ i ≦ M), and the last update time of the number of failures is denoted as final update time ti (1 ≦ i ≦ M). Note that the number of trials Ax, the number of failures Fx, the number of failed terminals Ux, and the number of failures fi all have 0 as initial values.

呼処理制御手段101と、品質統計管理手段106(より詳しくは、通信イベント異常検出手段102と、観測端末選択手段103と、品質統計集計手段105)とは、例えば、プログラムに従って動作する無線基地局制御装置100のCPUによって実現される。例えば、プログラムは、無線基地局制御装置100の記憶手段(図示せず)に記憶され、CPUは、そのプログラムを読み取り、プログラムに従って呼処理制御手段101、品質統計管理手段106(より詳しくは、通信イベント異常検出手段102、観測端末選択手段103、品質統計集計手段105)として動作してもよい。   The call processing control means 101, the quality statistics management means 106 (more specifically, the communication event abnormality detection means 102, the observation terminal selection means 103, and the quality statistics aggregation means 105) are, for example, radio base stations that operate according to a program This is realized by the CPU of the control device 100. For example, the program is stored in a storage unit (not shown) of the radio base station control apparatus 100, and the CPU reads the program, and according to the program, the call processing control unit 101 and the quality statistics management unit 106 (more specifically, communication The event abnormality detecting means 102, the observation terminal selecting means 103, and the quality statistics counting means 105) may be operated.

網管理装置200は、品質統計取得手段201と、品質統計記憶手段202と、品質統計分析手段203と、網管理変数記憶手段204と、表示手段205とを備えている。   The network management device 200 includes quality statistics acquisition means 201, quality statistics storage means 202, quality statistics analysis means 203, network management variable storage means 204, and display means 205.

品質統計取得手段201は、無線基地局制御装置100の品質統計記憶手段104から通信エリアの品質統計を読み取り、その品質統計を品質統計記憶手段202に記憶させる。   The quality statistics acquisition means 201 reads the quality statistics of the communication area from the quality statistics storage means 104 of the radio base station control apparatus 100 and stores the quality statistics in the quality statistics storage means 202.

品質統計記憶手段202は、通信エリアの品質統計を長期間にわたって保存する記憶装置である。品質統計記憶手段202は、品質統計取得手段201が品質統計記憶手段104から読み取った品質統計、及び品質統計分析手段203の分析結果を記憶する。   The quality statistics storage unit 202 is a storage device that stores quality statistics of the communication area over a long period of time. The quality statistics storage unit 202 stores the quality statistics read by the quality statistics acquisition unit 201 from the quality statistics storage unit 104 and the analysis result of the quality statistics analysis unit 203.

網管理変数記憶手段204は、品質統計分析手段203が品質劣化を被る端末数の規模を評価する際に用いる閾値を記憶する記憶装置である。   The network management variable storage unit 204 is a storage device that stores a threshold value used when the quality statistical analysis unit 203 evaluates the scale of the number of terminals that are subject to quality degradation.

品質統計分析手段203は、品質統計記憶手段202に記憶された品質統計および網管理変数記憶手段204に記憶された閾値をもとに、通信エリアにおいて品質劣化を被る端末数の規模を評価し、品質劣化の原因を推定する。   The quality statistical analysis means 203 evaluates the scale of the number of terminals that suffer quality degradation in the communication area based on the quality statistics stored in the quality statistics storage means 202 and the threshold values stored in the network management variable storage means 204. Estimate the cause of quality degradation.

図3は、第1の実施形態における品質統計分析手段203の構成の例を示す説明図である。品質統計分析手段203は、例えば、端末失敗率算出手段206と、劣化規模評価手段207と、劣化原因推定手段208とを備えるが、品質統計分析手段203の構成は、図3に示す構成に限定されない。   FIG. 3 is an explanatory diagram showing an example of the configuration of the quality statistical analysis means 203 in the first embodiment. The quality statistical analysis unit 203 includes, for example, a terminal failure rate calculation unit 206, a degradation scale evaluation unit 207, and a degradation cause estimation unit 208. The configuration of the quality statistical analysis unit 203 is limited to the configuration illustrated in FIG. Not.

端末失敗率算出手段206は、品質統計記憶手段202に記憶された品質統計をもとに、観測期間内に通信エリア内で通信を行った端末数に対する通信に失敗した端末数の割合(以下、端末失敗率と記す。)を算出する。端末失敗率は、通信回数に対する失敗した通信回数の割合によって求められる品質指標とは異なる。端末失敗率算出手段206は、算出結果を品質統計記憶手段202に登録する。   The terminal failure rate calculation means 206 is based on the quality statistics stored in the quality statistics storage means 202, and the ratio of the number of terminals that failed to communicate with the number of terminals that communicated within the communication area within the observation period (hereinafter, Calculated as terminal failure rate.) The terminal failure rate is different from the quality index obtained by the ratio of the number of failed communications to the number of communications. The terminal failure rate calculation unit 206 registers the calculation result in the quality statistics storage unit 202.

劣化規模評価手段207は、品質統計記憶手段202に記憶された品質統計ならびに網管理変数記憶手段204に記憶された閾値をもとに、観測期間内の通信エリアで品質劣化を被った端末数の規模を評価して、その結果を品質統計記憶手段202に登録する。   Based on the quality statistics stored in the quality statistics storage unit 202 and the threshold values stored in the network management variable storage unit 204, the degradation scale evaluation unit 207 determines the number of terminals that have suffered quality degradation in the communication area within the observation period. The scale is evaluated and the result is registered in the quality statistics storage unit 202.

劣化原因推定手段208は、劣化規模評価手段207が品質統計記憶手段202に記憶した評価結果をもとに、観測期間内の通信エリアで生じた品質劣化の原因を推定して、その結果を品質統計記憶手段202に登録する。   Based on the evaluation result stored in the quality statistics storage unit 202 by the degradation scale evaluation unit 207, the degradation cause estimation unit 208 estimates the cause of quality degradation that has occurred in the communication area within the observation period, and uses the result as the quality Register in the statistics storage means 202.

図4は、本発明の第1の実施形態における品質統計記憶手段202のデータ構成の例を示す説明図である。品質統計記憶手段202は、品質統計の管理対象とする通信イベントの種別、通信エリア、観測期間に対して、品質統計記憶手段104から取得した通信エリア単位の通信イベントの試行回数Axと失敗回数Fx、通信エリアの観測期間で通信に失敗した失敗端末数Uxなどの情報を記憶する。さらに、品質統計記憶手段202は、品質統計分析手段203が算出した品質指標である端末失敗率、品質劣化を被った端末数の規模(劣化規模)の評価結果、品質劣化の原因の推定結果などの情報を記憶する。以下の説明では、通信エリアXでの端末失敗率を、端末失敗率Qxと記す。   FIG. 4 is an explanatory diagram illustrating an example of a data configuration of the quality statistics storage unit 202 according to the first embodiment of this invention. The quality statistics storage unit 202 performs communication event trial count Ax and failure count Fx for each communication area acquired from the quality statistics storage unit 104 for the type, communication area, and observation period of the communication event to be managed by the quality statistics. Information such as the number of failed terminals Ux that failed in communication during the observation period of the communication area is stored. Further, the quality statistics storage means 202 is a terminal failure rate, which is a quality index calculated by the quality statistics analysis means 203, an evaluation result of the number of terminals subjected to quality degradation (degradation scale), an estimation result of the cause of quality degradation, etc. The information is memorized. In the following description, the terminal failure rate in the communication area X is referred to as a terminal failure rate Qx.

図5は、本発明の第1の実施形態における網管理変数記憶手段204のデータ構成の一を示す説明図である。網管理変数記憶手段204は、通信エリア(本例では、無線セルX)と通信イベントの種別(ここでは、「無線制御コネクションの確立」)ごとに、劣化規模の評価で用いる失敗回数Fxの閾値(以下、閾値Tx1と記す。)、失敗端末数Uxの閾値(以下、閾値Tx2と記す。)、端末失敗率Qxの閾値(以下、閾値Tx3と記す。)などの情報を記憶する。閾値Tx1には、著しい品質劣化とみなす端末あたりの失敗回数の下限値、閾値Tx2には、大規模とみなす失敗端末数の下限値、閾値Tx3には、大規模とみなす端末失敗率の下限値を、それぞれ設定する。   FIG. 5 is an explanatory diagram showing a data configuration of the network management variable storage unit 204 according to the first embodiment of this invention. The network management variable storage unit 204 stores a threshold value of the failure frequency Fx used in the evaluation of the degradation scale for each communication area (in this example, wireless cell X) and communication event type (here, “establishment of wireless control connection”). (Hereinafter, referred to as threshold value Tx1), a threshold value of the number of failed terminals Ux (hereinafter referred to as threshold value Tx2), a threshold value of terminal failure rate Qx (hereinafter referred to as threshold value Tx3), and the like are stored. The threshold value Tx1 is a lower limit value of the number of failures per terminal regarded as significant quality degradation, the threshold value Tx2 is a lower limit value of the number of failed terminals regarded as a large scale, and the threshold value Tx3 is a lower limit value of a terminal failure rate regarded as a large scale. Are set respectively.

表示手段205は、各種通信イベントの品質統計の内容、及び品質劣化を被る端末数の規模などの情報を表示する表示装置である。例えば、網管理装置200が、入力手段(図示せず)を備えている場合であれば、網管理装置200の管理者がその入力手段を介して指定した通信エリアと観測期間に応じ、品質統計分析手段203が、表示手段205に各種通信イベントの品質統計の内容、及び品質劣化を被る端末数の規模などの情報を表示してもよい。   The display unit 205 is a display device that displays information such as the contents of quality statistics of various communication events and the size of the number of terminals that suffer quality degradation. For example, if the network management device 200 is provided with an input means (not shown), the quality statistics according to the communication area and observation period designated by the administrator of the network management device 200 via the input means. The analysis unit 203 may display information such as the contents of quality statistics of various communication events and the size of the number of terminals suffering quality degradation on the display unit 205.

品質統計取得手段201と、品質統計分析手段203(より詳しくは、端末失敗率算出手段206と、劣化規模評価手段207と、劣化原因推定手段208)とは、例えば、プログラムに従って動作する網管理装置200のCPUによって実現される。例えば、プログラムは、網管理装置200の記憶手段(図示せず)に記憶され、CPUは、そのプログラムを読み取り、プログラムに従って、品質統計取得手段201、品質統計分析手段203(より詳しくは、端末失敗率算出手段206、劣化規模評価手段207、劣化原因推定手段208)として動作してもよい。   The quality statistics acquisition means 201, the quality statistics analysis means 203 (more specifically, the terminal failure rate calculation means 206, the degradation scale evaluation means 207, and the degradation cause estimation means 208) are, for example, network management devices that operate according to a program This is realized by 200 CPUs. For example, the program is stored in a storage unit (not shown) of the network management apparatus 200, and the CPU reads the program, and in accordance with the program, the quality statistics acquisition unit 201, the quality statistics analysis unit 203 (more specifically, terminal failure) The rate calculating means 206, the deterioration scale evaluating means 207, and the deterioration cause estimating means 208) may be operated.

次に、動作について説明する。図6は、第1の実施形態における品質統計管理手段106の処理の例を示すフローチャートである。   Next, the operation will be described. FIG. 6 is a flowchart showing an example of processing of the quality statistic management unit 106 in the first embodiment.

まず、通信イベント異常検出手段102が、管理対象とする通信エリアXの内部に位置する移動端末と網側装置との間で行われる呼処理の各通信イベントに対して異常を検出したか否かを判定する(ステップS200)。異常を検出していない場合(ステップS200におけるNO)、品質統計管理手段106は、品質統計記憶手段104に記録されている通信エリアの試行回数Axのカウントを1回増やして終了する(ステップS201)。   First, whether or not the communication event abnormality detection means 102 has detected an abnormality for each communication event of the call processing performed between the mobile terminal located inside the communication area X to be managed and the network side device. Is determined (step S200). If no abnormality is detected (NO in step S200), the quality statistics management means 106 increments the count of the communication area trial count Ax recorded in the quality statistics storage means 104 once and ends (step S201). .

一方、通信イベント異常検出手段102が異常を検出した場合(ステップS200におけるYES)、観測端末選択手段103は、異常終了した通信イベントに関わる移動端末(以下、本例において異常端末Aと記す。)を特定する(ステップS202)。例えば、観測端末選択手段103は、端末ごとに与えられた端末識別番号をもとに、異常端末Aを特定してもよい。以下の説明では、端末を識別するために端末識別番号を使用する場合について説明する。   On the other hand, when the communication event abnormality detecting means 102 detects an abnormality (YES in step S200), the observation terminal selecting means 103 is a mobile terminal related to the communication event that ended abnormally (hereinafter referred to as an abnormal terminal A in this example). Is specified (step S202). For example, the observation terminal selection unit 103 may identify the abnormal terminal A based on the terminal identification number given for each terminal. In the following description, a case where a terminal identification number is used to identify a terminal will be described.

その後、観測端末選択手段103は、異常発生日時を含む観測期間に通信エリアXで管理している移動端末の情報(以下、端末識別番号リストと記す。)、及び品質統計を品質統計記憶手段104から読み取る。観測端末選択手段103は、端末識別番号リストに異常端末Aの端末識別番号が登録済みか否かを判定する(ステップS203)。   Thereafter, the observation terminal selection means 103 stores the information of the mobile terminals managed in the communication area X (hereinafter referred to as a terminal identification number list) and quality statistics in the observation period including the abnormality occurrence date and time, and the quality statistics storage means 104. Read from. The observation terminal selection means 103 determines whether or not the terminal identification number of the abnormal terminal A has been registered in the terminal identification number list (step S203).

端末識別番号リストに異常端末Aの端末識別番号が登録済みの場合(ステップS203におけるYES)、品質統計管理手段106は、品質統計記憶手段104に記録されているその端末識別番号に対応する失敗回数fiのカウントを1回増やすとともに(ステップS204)、最終更新時刻tiを異常が発生した日時に更新する(ステップS205)。さらに、品質統計管理手段106は、品質統計記憶手段104に記憶されている通信エリアXの失敗回数Fxのカウントを1回増やし(ステップS206)、通信エリアの試行回数Axのカウントも1回増やして終了する(ステップS201)。   When the terminal identification number of the abnormal terminal A has already been registered in the terminal identification number list (YES in step S203), the quality statistics management unit 106 counts the number of failures corresponding to the terminal identification number recorded in the quality statistics storage unit 104. The count of fi is incremented once (step S204), and the last update time ti is updated to the date and time when the abnormality occurred (step S205). Further, the quality statistics management means 106 increases the count of the failure count Fx of the communication area X stored in the quality statistics storage means 104 by 1 (step S206), and also increases the count of the communication area trial count Ax by 1. The process ends (step S201).

一方、端末識別番号リストに異常端末Aの端末識別番号が未登録の場合(ステップS203におけるNO)、観測端末選択手段103は、端末識別番号リストに登録された端末識別番号の総数、すなわち端末数が事前に定めた上限M以下か否かを判定する(ステップS207)。   On the other hand, when the terminal identification number of the abnormal terminal A is not registered in the terminal identification number list (NO in step S203), the observation terminal selection unit 103 determines the total number of terminal identification numbers registered in the terminal identification number list, that is, the number of terminals. Is less than or equal to a predetermined upper limit M (step S207).

端末識別番号リストに登録された端末識別番号の総数が上限M以下の場合(ステップS207におけるYES)、端末識別番号リストに対して異常端末Aの端末識別番号を新たに登録し(ステップS208)、品質統計記憶手段104に記録されている通信エリアXの失敗端末数Uxのカウントを1回増やす(ステップS209)。以降はステップS204〜ステップS206、およびステップS201の処理を実行して処理を終了する。   If the total number of terminal identification numbers registered in the terminal identification number list is not more than the upper limit M (YES in step S207), the terminal identification number of the abnormal terminal A is newly registered in the terminal identification number list (step S208). The count of the number of failed terminals Ux in the communication area X recorded in the quality statistics storage unit 104 is increased by 1 (step S209). Thereafter, the processes in steps S204 to S206 and step S201 are executed, and the process ends.

一方、端末識別番号リストに登録された端末識別番号の総数が上限Mを超えている場合(ステップS207におけるNO)、品質統計管理手段106は、失敗回数が事前に定めた閾値(以下、閾値Fと記す。)以下である端末群を端末識別番号リストの中から抽出する(ステップS210)。閾値Fは、例えば、網管理変数記憶手段204に記憶しておき、品質統計管理手段106が、その値を参照して、端末群を端末識別番号リストの中から抽出してもよい。品質統計管理手段106は、抽出した端末群のうち最終更新時刻が最古の端末を端末識別番号リストから除外する(ステップS211)。以降は、ステップS208〜ステップS209、ステップS204〜ステップS206、およびステップS201の処理を順に実行して処理を終了する。   On the other hand, when the total number of terminal identification numbers registered in the terminal identification number list exceeds the upper limit M (NO in step S207), the quality statistics management unit 106 determines that the number of failures is a predetermined threshold (hereinafter, threshold F). The following terminal group is extracted from the terminal identification number list (step S210). The threshold value F may be stored in the network management variable storage unit 204, for example, and the quality statistics management unit 106 may extract a terminal group from the terminal identification number list with reference to the value. The quality statistics management means 106 excludes the terminal with the oldest last update time from the extracted terminal group from the terminal identification number list (step S211). Thereafter, the processing of step S208 to step S209, step S204 to step S206, and step S201 is executed in order, and the processing ends.

なお、失敗端末数Uxは、観測期間内に端末識別番号の登録数の上限Mを超える移動端末が通信に失敗すると、リストから除外された移動端末が再び登録されることにより重複してカウントされる可能性がある。しかし、実際には、失敗が継続すれば途中で通信を諦めるユーザが多く、さらに、失敗回数が長い間更新されない端末は他の無線エリアに移動した可能性が高い。そのため、例えば、想定される観測期間(5分〜1時間)の範囲においては、登録数の上限Mをある程度大きな値に設定することにより、リストから除外された移動端末がリストに再登録される頻度を低く抑えることができる。すなわち、移動端末の再登録によって失敗端末数Uxが重複してカウントされる問題を回避できる。   Note that the number of unsuccessful terminals Ux is counted redundantly by re-registering the mobile terminals excluded from the list when a mobile terminal exceeding the upper limit M of the registered number of terminal identification numbers fails during the observation period. There is a possibility. However, in reality, if the failure continues, there are many users who give up communication on the way, and there is a high possibility that a terminal that has not been updated for a long time has moved to another wireless area. Therefore, for example, in the assumed observation period (5 minutes to 1 hour), the mobile terminal excluded from the list is re-registered in the list by setting the upper limit M of the number of registrations to a somewhat large value. The frequency can be kept low. That is, it is possible to avoid the problem that the number of failed terminals Ux is counted twice due to re-registration of the mobile terminal.

図7は、本実施形態における網管理装置200の処理の例を説明するためのフローチャートである。品質統計取得手段201は、無線基地局制御装置100の品質統計記憶手段104から通信エリアXの品質統計を受信し、その品質統計を品質統計記憶手段202に記憶させる(ステップS300)。   FIG. 7 is a flowchart for explaining an example of processing of the network management apparatus 200 in the present embodiment. The quality statistics acquisition unit 201 receives the quality statistics of the communication area X from the quality statistics storage unit 104 of the radio base station control apparatus 100, and stores the quality statistics in the quality statistics storage unit 202 (step S300).

次に、端末失敗率算出手段206は、通信エリアXに関して分析対象とする観測期間の品質統計情報を品質統計記憶手段202から読み取り、試行回数Ax、失敗回数Fx、失敗端末数Uxの値を取得する(ステップS301)。   Next, the terminal failure rate calculating unit 206 reads the quality statistical information of the observation period to be analyzed with respect to the communication area X from the quality statistical storage unit 202, and acquires the values of the number of trials Ax, the number of failures Fx, and the number of failed terminals Ux. (Step S301).

端末失敗率算出手段206は、取得したこれらの値をもとに、以下に示す式1に従い、観測期間内に通信エリア内で通信を行った端末数に対する通信に失敗した端末数の割合、すなわち端末失敗率Qxを算出する(ステップS302)。   Based on these acquired values, the terminal failure rate calculation means 206 follows the equation 1 shown below, and the ratio of the number of terminals that failed to communicate with the number of terminals that communicated within the communication area within the observation period, that is, A terminal failure rate Qx is calculated (step S302).

Figure 0005239749
Figure 0005239749

なお、観測期間内で端末あたりの通信回数は最大1回と仮定し、通信の試行回数から通信の失敗による再試行の重複分を除いて、観測期間内に通信エリアXで通信を行う端末数をAx−(Fx−Ux)と近似した。   It is assumed that the number of communication per terminal within the observation period is a maximum of one, and the number of terminals communicating in the communication area X within the observation period excluding the duplication of retry due to communication failure from the number of communication attempts. Was approximated to Ax- (Fx-Ux).

続いて、劣化規模評価手段207が、網管理変数記憶手段204から通信エリアXに関する閾値Tx1、閾値Tx2、閾値Tx3を読み取り(ステップS303)、読み取った値をもとに通信エリアXにおいて品質劣化を被る端末数の規模を評価する(ステップS304)。   Subsequently, the degradation scale evaluation unit 207 reads the threshold value Tx1, the threshold value Tx2, and the threshold value Tx3 related to the communication area X from the network management variable storage unit 204 (step S303), and based on the read values, the quality degradation is performed in the communication area X. The scale of the number of terminals suffered is evaluated (step S304).

劣化原因推定手段208は、通信エリアXにおいて品質劣化を被る端末数の規模に関する劣化規模評価手段207の評価結果をもとに、品質劣化の原因を推定する(ステップS305)。   The deterioration cause estimating means 208 estimates the cause of quality deterioration based on the evaluation result of the deterioration scale evaluating means 207 regarding the scale of the number of terminals that suffer quality deterioration in the communication area X (step S305).

端末失敗率算出手段206、劣化規模評価手段207、劣化原因推定手段208は、それぞれ算出した結果を、品質統計記憶手段202に記憶させる(ステップS306)。また、品質統計分析手段203は、それぞれの算出結果を表示手段205に出力する(ステップS307)。   The terminal failure rate calculating unit 206, the deterioration scale evaluating unit 207, and the deterioration cause estimating unit 208 store the calculated results in the quality statistics storage unit 202 (step S306). Moreover, the quality statistical analysis means 203 outputs each calculation result to the display means 205 (step S307).

劣化規模評価手段207が実行するステップS304の処理について、以下に詳述する。図8は、第1の実施形態における劣化規模評価手段207の処理の例を説明するフローチャートである。   The process of step S304 executed by the deterioration scale evaluation unit 207 will be described in detail below. FIG. 8 is a flowchart for explaining an example of processing of the degradation scale evaluation unit 207 in the first embodiment.

まず、劣化規模評価手段207は、通信エリアXに関して評価対象とする観測期間の品質統計情報を品質統計記憶手段202から読み取り、端末識別番号のリストに登録されている端末数(以下、端末数mxと記す。)を取得する(ステップS400)。次に、劣化規模評価手段207は、失敗端末数Uxが端末数mxより大きいか否かを判定する(ステップS401)。失敗端末数Uxが端末数mxより大きい場合(ステップS401におけるYES)、劣化規模評価手段207は、その観測期間内で通信に失敗した移動端末のうち端末識別番号のリストの登録範囲外にある端末に対して、以下に示す式2にしたがって端末あたりの平均失敗回数(以下、平均失敗回数f0と記す。)を算出する(ステップS402)。   First, the degradation scale evaluation unit 207 reads the quality statistical information of the observation period to be evaluated with respect to the communication area X from the quality statistical storage unit 202, and the number of terminals registered in the list of terminal identification numbers (hereinafter, the number of terminals mx). (Step S400). Next, the degradation scale evaluation unit 207 determines whether or not the number of failed terminals Ux is larger than the number of terminals mx (step S401). When the number of unsuccessful terminals Ux is larger than the number of terminals mx (YES in step S401), the degradation scale evaluation means 207 is a terminal that is outside the registration range of the list of terminal identification numbers among the mobile terminals that have failed to communicate within the observation period. On the other hand, the average number of failures per terminal (hereinafter referred to as the average number of failures f0) is calculated according to Equation 2 shown below (step S402).

Figure 0005239749
Figure 0005239749

ここで、劣化規模評価手段207は、平均失敗回数f0と失敗回数の閾値Tx1を比較し、平均失敗回数f0が閾値Tx1より小さな場合には、端末識別番号のリストに登録されている端末の範囲内で品質劣化を被る端末数の規模を評価する。一方、平均失敗回数f0が閾値Tx1以上の場合には、劣化規模評価手段207は、登録範囲外の端末も含めて品質劣化を被る端末数の規模を評価する。   Here, the degradation scale evaluation means 207 compares the average failure frequency f0 with the failure frequency threshold value Tx1, and if the average failure frequency f0 is smaller than the threshold value Tx1, the range of terminals registered in the terminal identification number list. Evaluate the scale of the number of terminals that suffer quality degradation. On the other hand, when the average failure frequency f0 is equal to or greater than the threshold value Tx1, the degradation scale evaluation unit 207 evaluates the scale of the number of terminals that suffer quality degradation including terminals outside the registration range.

具体的には、劣化規模評価手段207は、平均失敗回数f0が閾値Tx1より小さいか否かを判定する(ステップS403)。平均失敗回数f0が閾値Tx1より小さい場合(ステップ403におけるYES)、劣化規模評価手段207は、登録済み端末の中で失敗数が閾値Tx1以上の端末数(以下、端末数mx’と記す。)を取得し(ステップS404)、劣化規模を評価する際の失敗端末数(以下、失敗端末数Ux’と記す。)を端末数mx’とする(ステップS405)。一方、平均失敗回数f0が閾値Tx1以上の場合(ステップS403におけるNO)、劣化規模評価手段207は、失敗端末数Ux’を失敗端末数Uxとする(ステップS406)。   Specifically, the degradation scale evaluation unit 207 determines whether or not the average failure frequency f0 is smaller than the threshold Tx1 (step S403). When the average failure frequency f0 is smaller than the threshold value Tx1 (YES in step 403), the degradation scale evaluation unit 207 has the number of terminals with the failure number equal to or greater than the threshold value Tx1 among the registered terminals (hereinafter referred to as the terminal number mx ′). (Step S404), and the number of failed terminals (hereinafter referred to as the number of failed terminals Ux ′) when evaluating the degradation scale is set as the number of terminals mx ′ (step S405). On the other hand, when the average failure frequency f0 is equal to or greater than the threshold Tx1 (NO in step S403), the degradation scale evaluation unit 207 sets the number of failed terminals Ux ′ as the number of failed terminals Ux (step S406).

次に、劣化規模評価手段207は、劣化規模を評価する際の端末失敗率(以下、端末失敗率Qx’と記す。)を、以下に示す式3にしたがって算出する(ステップS407)。   Next, the degradation scale evaluation means 207 calculates a terminal failure rate (hereinafter referred to as a terminal failure rate Qx ′) when evaluating the degradation scale according to the following Expression 3 (step S407).

Figure 0005239749
Figure 0005239749

劣化規模評価手段207は、算出した端末失敗率Qx’が端末失敗率の閾値Tx3より小さいか否かを判定する(ステップS408)。   The degradation scale evaluation unit 207 determines whether or not the calculated terminal failure rate Qx ′ is smaller than the terminal failure rate threshold Tx3 (step S408).

端末失敗率Qx’が閾値Tx3より小さい場合(ステップS408におけるYES)、劣化規模評価手段207は、品質劣化を被る端末数は小規模であると判定し(ステップS409)、端末失敗率Qx’が閾値Tx3より小さくないと判定した場合(ステップS408におけるNO)、品質劣化を被る端末数は大規模と判定する(ステップS410)。   If the terminal failure rate Qx ′ is smaller than the threshold Tx3 (YES in step S408), the degradation scale evaluation unit 207 determines that the number of terminals that suffer quality degradation is small (step S409), and the terminal failure rate Qx ′ is When it is determined that it is not smaller than the threshold value Tx3 (NO in step S408), the number of terminals that suffer quality degradation is determined to be large (step S410).

一方、ステップS401で失敗端末数Uxが端末数mx以下である場合(ステップS401におけるNO)、劣化規模評価手段207は、ステップS404以降の処理を実行して終了する。   On the other hand, when the number of failed terminals Ux is less than or equal to the number of terminals mx in step S401 (NO in step S401), the degradation scale evaluation unit 207 executes the processing from step S404 and ends.

なお、上記説明では、品質劣化を被る端末数の規模の評価を端末失敗率Qx’を用いて行ったが、劣化規模評価手段207が、失敗端末数Ux’と失敗端末数の閾値Tx2を比較し、閾値Tx2より小さな場合に「小規模」、それ以外の場合には「大規模」と判定してもよい。   In the above description, the scale of the number of terminals that suffer quality degradation is evaluated using the terminal failure rate Qx ′. However, the degradation scale evaluation unit 207 compares the number of failed terminals Ux ′ with the threshold Tx2 of the number of failed terminals. However, it may be determined as “small” when smaller than the threshold Tx2, and as “large” in other cases.

また、上記説明では、劣化規模評価手段207が判定する規模を「小規模」と「大規模」の2種類としたが、規模の判定はこの2種類に限定されない。   In the above description, the scales determined by the degradation scale evaluation means 207 are two types, “small” and “large”, but the scales are not limited to these two types.

また、ステップS406における処理に加え、劣化規模評価手段207が、信頼性の違い(例えば、平均失敗回数f0と閾値Tx1との差異について)を品質統計記憶手段202登録し、品質統計分析手段203が、評価結果とともに、その登録した情報を表示手段205に表示してもよい。これらの処理により、劣化規模を評価した結果の信頼性を向上させることができる。 In addition to the processing in step S406, the degradation scale evaluation unit 207 registers the difference in reliability (for example, the difference between the average failure frequency f0 and the threshold value Tx1) in the quality statistics storage unit 202 , and the quality statistics analysis unit 203 However, the registered information may be displayed on the display unit 205 together with the evaluation result. By these processes, the reliability of the result of evaluating the deterioration scale can be improved.

次に、劣化原因推定手段208が実行するステップS305の処理について、以下に詳述する。図9は、第1の実施形態における劣化原因推定手段208の処理の例を説明するフローチャートである。   Next, the process of step S305 executed by the deterioration cause estimation unit 208 will be described in detail below. FIG. 9 is a flowchart for explaining an example of processing of the deterioration cause estimating means 208 in the first embodiment.

まず、劣化原因推定手段208は、品質統計記憶手段202から、通信エリアXに関して評価対象とする観測期間の品質統計情報を読み取り、劣化規模評価手段207が判定した劣化規模の評価結果を取得する(ステップS500)。次に、劣化原因推定手段208は、劣化規模の評価結果が「大規模」か否かを判定する(ステップS501)。   First, the degradation cause estimation unit 208 reads the quality statistics information of the observation period to be evaluated with respect to the communication area X from the quality statistics storage unit 202 and acquires the evaluation result of the degradation scale determined by the degradation scale evaluation unit 207 ( Step S500). Next, the deterioration cause estimating means 208 determines whether or not the evaluation result of the deterioration scale is “large scale” (step S501).

例えば、品質劣化を生じる規模が大きい場合には、移動端末と無線基地局制御装置100との通信を中継する網側装置や、移動端末と無線基地局制御装置100との間で通信を中継する中継回線の故障が原因と推定される。そこで、評価結果が「大規模」である場合(ステップS501におけるYES)、劣化原因推定手段208は、品質劣化の原因を「網側装置または中継回線の故障が原因」と推定して終了する(ステップS502)。一方、評価結果が「大規模」でない場合(ステップS501におけるNO)、劣化原因推定手段208は、品質劣化の原因を「特定端末の故障または局所的な電波の不感地が原因」と推定して終了する(ステップS503)。   For example, when the scale causing quality degradation is large, the network side device that relays communication between the mobile terminal and the radio base station control device 100 or the communication between the mobile terminal and the radio base station control device 100 is relayed The cause is presumed to be a failure of the trunk line. Therefore, when the evaluation result is “large-scale” (YES in step S501), the deterioration cause estimating means 208 estimates that the cause of quality deterioration is “caused by a failure of the network side device or the relay line” and ends ( Step S502). On the other hand, if the evaluation result is not “large-scale” (NO in step S501), the deterioration cause estimating means 208 estimates that the cause of the quality deterioration is “caused by a failure of a specific terminal or a local dead zone”. The process ends (step S503).

上記実施形態では、劣化原因推定手段208が、劣化規模評価手段207が判定した「小規模」と「大規模」の2種類の内容をもとに劣化原因を推定する場合について説明したが、劣化規模評価手段207が、他の内容の規模を判定した場合、劣化原因推定手段208は、その判定内容をもとに劣化原因を推定してもよい。   In the above embodiment, the case where the deterioration cause estimating unit 208 estimates the cause of deterioration based on the two types of contents “small” and “large” determined by the deterioration scale evaluating unit 207 has been described. When the scale evaluation unit 207 determines the scale of other contents, the deterioration cause estimation unit 208 may estimate the cause of deterioration based on the determination contents.

本実施の形態では、品質統計取得手段201が品質統計記憶手段104から端末ごとの品質情報を受信する場合を例に説明した。これ以外にも、劣化規模評価手段207が行う処理に必要なパラメータを、あらかじめ品質統計管理手段106が計算しておき、パラメータを品質統計取得手段201が、端末ごとの品質情報の代わりにそのパラメータを受信してもよい。または、品質統計分析手段203が行う分析処理を品質統計管理手段106が行い、その分析結果を品質統計取得手段201が受信してもよい。このような方法により、網管理装置200がデータ収集に要する時間を短縮できる。   In the present embodiment, the case where the quality statistics acquisition unit 201 receives quality information for each terminal from the quality statistics storage unit 104 has been described as an example. In addition to this, the parameters necessary for the processing performed by the degradation scale evaluation unit 207 are calculated in advance by the quality statistics management unit 106, and the quality statistics acquisition unit 201 uses the parameters instead of the quality information for each terminal. May be received. Alternatively, the quality statistics management unit 106 may perform the analysis process performed by the quality statistics analysis unit 203 and the quality statistics acquisition unit 201 may receive the analysis result. By such a method, the time required for the network management apparatus 200 to collect data can be shortened.

本発明によれば、呼処理制御手段101が通信の失敗を検知したときに、品質統計記憶手段104に記憶された情報をもとに管理対象端末を選択し、その管理対象端末ごとに失敗回数fiを集計して登録する。すなわち、無線基地局制御装置100において、通信エリア内で通信の失敗数が多い上位M台の移動端末に限定して端末ごとの失敗回数fiを記録する。そのため、通信エリア内で通信に失敗する全ての端末の情報を記録する場合に比べて必要な記憶容量、及び網管理装置200へのデータ転送に要する時間を抑えることができる。   According to the present invention, when the call processing control unit 101 detects a communication failure, the management target terminal is selected based on the information stored in the quality statistics storage unit 104, and the number of failures for each management target terminal is selected. Fi is totaled and registered. That is, in the radio base station control apparatus 100, the failure frequency fi for each terminal is recorded only for the top M mobile terminals having a large number of communication failures in the communication area. Therefore, it is possible to reduce the necessary storage capacity and the time required for data transfer to the network management apparatus 200 as compared with the case of recording information of all terminals that fail to communicate in the communication area.

さらに、本発明によれば、品質統計記憶手段202に記憶された情報をもとに、端末失敗率を算出し、その端末失敗率をもとに、品質劣化を被る端末数の規模を評価する。すなわち、網管理装置200において、端末ごとの記録をもとに端末あたりの通信の失敗率を算出し、品質劣化を被る端末数の規模を評価する。そのため、通信の試行あたりの通信の失敗率を用いる方法に比べて、特に何度も繰り返して通信に失敗する端末が存在する環境下(すなわち、失敗回数Fx≠失敗端末数Uxの場合)において、品質劣化を被る端末数の規模をより的確に評価することができる。   Furthermore, according to the present invention, the terminal failure rate is calculated based on the information stored in the quality statistics storage unit 202, and the scale of the number of terminals suffering quality degradation is evaluated based on the terminal failure rate. . That is, the network management apparatus 200 calculates a communication failure rate per terminal based on the record for each terminal, and evaluates the scale of the number of terminals that suffer quality degradation. Therefore, compared with the method using the communication failure rate per communication attempt, particularly in an environment where there are terminals that repeatedly fail to communicate (that is, when the number of times of failure Fx ≠ the number of failed terminals Ux), It is possible to more accurately evaluate the scale of the number of terminals that suffer quality degradation.

品質劣化を被る端末数の規模の評価方法について、以下に詳述する。図10は通信エリアXに関して、通信の失敗回数の端末ごとの分布の例を示した説明図である。例えば、試行あたりの通信の失敗率を用いる方法の場合、分布300と分布301の違いを区別して品質劣化を被る端末数の規模を評価することはできなかった。しかし、本発明によれば、失敗端末数Uxが分かるため、分布300と分布301との違いを区別した評価を行うことができる。   A method for evaluating the scale of the number of terminals that suffer quality degradation will be described in detail below. FIG. 10 is an explanatory diagram showing an example of the distribution of the number of communication failures for each terminal with respect to the communication area X. For example, in the case of the method using the communication failure rate per trial, it was impossible to distinguish the difference between the distribution 300 and the distribution 301 and evaluate the scale of the number of terminals that suffered quality degradation. However, according to the present invention, since the number of failed terminals Ux is known, it is possible to perform an evaluation in which the difference between the distribution 300 and the distribution 301 is distinguished.

さらに、本発明よれば、品質劣化を被る端末の規模をもとに品質劣化の原因を推定する。このため、トラフィックが比較的少ない無線セルにおいても、品質劣化の原因が、電波の局所的な不感地や端末故障によるものか、網側の装置故障によるものかを区別するのが容易となり、原因をより正確に推定することができる。   Furthermore, according to the present invention, the cause of quality degradation is estimated based on the scale of the terminal that suffers quality degradation. For this reason, even in a wireless cell with relatively little traffic, it is easy to distinguish whether the cause of quality degradation is due to a local dead zone of radio waves, a terminal failure, or a device failure on the network side. Can be estimated more accurately.

実施形態2.
次に、本発明の第2の実施形態における通信品質管理システムについて説明する。本発明の第2の実施形態は、品質劣化を被る端末の規模を「小規模」と判定した場合に、端末ごとの失敗数の分布の偏りを評価して、より詳細に原因を推定する点で、第1の実施形態と異なる。以下、第1の実施形態と同様の構成要素については同一の符号を付し、説明を省略する。
Embodiment 2. FIG.
Next, a communication quality management system according to the second embodiment of the present invention will be described. The second embodiment of the present invention evaluates the bias of the distribution of the number of failures for each terminal and estimates the cause in more detail when the scale of the terminal suffering quality degradation is determined as “small”. Thus, it is different from the first embodiment. Hereinafter, the same components as those in the first embodiment are denoted by the same reference numerals, and description thereof is omitted.

本発明の第2の実施形態における通信品質管理システムは、第1の実施形態と同様に、無線基地局制御装置100と、網管理装置200とを備えている(図1参照)。図11は、本発明の第2の実施形態における品質統計分析手段203の構成の例を示す説明図である。本実施形態における品質統計分析手段203は、図3に示す端末失敗率算出手段206と、劣化規模評価手段207と、劣化原因推定手段208に加えて、失敗数分布評価手段209を備えている点で、第1の実施形態と異なる。   As in the first embodiment, the communication quality management system according to the second embodiment of the present invention includes a radio base station control device 100 and a network management device 200 (see FIG. 1). FIG. 11 is an explanatory diagram showing an example of the configuration of the quality statistical analysis means 203 in the second embodiment of the present invention. The quality statistical analysis unit 203 according to the present embodiment includes a failure number distribution evaluation unit 209 in addition to the terminal failure rate calculation unit 206, the deterioration scale evaluation unit 207, and the deterioration cause estimation unit 208 shown in FIG. Thus, it is different from the first embodiment.

失敗数分布評価手段209は、品質統計記憶手段202に記憶された端末ごとの失敗回数の分布をもとに、端末ごとの失敗数の分布の偏りを評価して、その評価結果を品質統計記憶手段202に記憶させる。   The failure number distribution evaluation unit 209 evaluates the deviation of the failure number distribution for each terminal based on the failure frequency distribution for each terminal stored in the quality statistics storage unit 202, and stores the evaluation result in the quality statistics storage. The data is stored in the means 202.

品質統計取得手段201と、品質統計分析手段203(より詳しくは、端末失敗率算出手段206と、劣化規模評価手段207と、劣化原因推定手段208と、失敗数分布評価手段209)とは、例えば、プログラムに従って動作する網管理装置200のCPUによって実現される。例えば、プログラムは、網管理装置200の記憶手段(図示せず)に記憶され、CPUは、そのプログラムを読み取り、プログラムに従って、品質統計取得手段201、品質統計分析手段203(より詳しくは、端末失敗率算出手段206、劣化規模評価手段207、劣化原因推定手段208、失敗数分布評価手段209)として動作してもよい。   Quality statistics acquisition means 201 and quality statistics analysis means 203 (more specifically, terminal failure rate calculation means 206, deterioration scale evaluation means 207, deterioration cause estimation means 208, failure number distribution evaluation means 209) are, for example, It is realized by the CPU of the network management device 200 that operates according to the program. For example, the program is stored in a storage unit (not shown) of the network management apparatus 200, and the CPU reads the program, and in accordance with the program, the quality statistics acquisition unit 201, the quality statistics analysis unit 203 (more specifically, terminal failure) The rate calculation means 206, the deterioration scale evaluation means 207, the deterioration cause estimation means 208, and the failure number distribution evaluation means 209) may be operated.

図12は、本発明の第2の実施形態における品質統計記憶手段202のデータ構成の例を示す説明図である。本実施形態における品質統計記憶手段202は、図4に示す内容に加えて、失敗数分布評価手段209の評価結果を記憶している点で、第1の実施形態と異なる。   FIG. 12 is an explanatory diagram showing an example of the data configuration of the quality statistics storage unit 202 in the second embodiment of the present invention. The quality statistics storage unit 202 in the present embodiment is different from the first embodiment in that the evaluation result of the failure number distribution evaluation unit 209 is stored in addition to the contents shown in FIG.

図13は、本発明の第2の実施形態による網管理変数記憶手段204のデータ構成の例を示す説明図である。本実施形態における網管理変数記憶手段204は、図5に示す内容に加えて、失敗数分布評価手段209の評価で用いる、失敗数の累積比率の評価点(以下、評価点Rxと記す。)と、失敗数分布の偏り度の閾値(以下、閾値Tx4と記す。)を記憶している点で、第1の実施形態と異なる。   FIG. 13 is an explanatory diagram showing an example of the data configuration of the network management variable storage unit 204 according to the second embodiment of the present invention. In addition to the contents shown in FIG. 5, the network management variable storage unit 204 in this embodiment uses an evaluation point of the cumulative number of failures used in the evaluation by the failure number distribution evaluation unit 209 (hereinafter referred to as evaluation point Rx). And the threshold value of the degree of bias of the failure number distribution (hereinafter, referred to as threshold value Tx4) is stored, and is different from the first embodiment.

次に、動作について説明する。図14は、第2の実施形態における網管理装置200の処理の例を示すフローチャートである。なお、品質統計取得手段201が、品質統計記憶手段104から通信エリアXの品質統計を受信してから、劣化規模評価手段207が、通信エリアXにおいて品質劣化を被る端末数の規模を評価するまでの処理は、第1の実施形態におけるステップS300〜S304(図7参照)と同様である。   Next, the operation will be described. FIG. 14 is a flowchart illustrating an example of processing of the network management device 200 according to the second embodiment. Until the quality statistics acquisition unit 201 receives the quality statistics of the communication area X from the quality statistics storage unit 104 until the degradation scale evaluation unit 207 evaluates the scale of the number of terminals that suffer quality degradation in the communication area X. This process is the same as steps S300 to S304 (see FIG. 7) in the first embodiment.

劣化規模評価手段207が、通信エリアXにおいて品質劣化を被る端末数の規模を評価すると(ステップS304)、失敗数分布評価手段209は、網管理変数記憶手段204から通信エリアXに関する評価点Rx、閾値Tx4を読み取る(ステップS308)。   When the degradation scale evaluation unit 207 evaluates the scale of the number of terminals that suffer quality degradation in the communication area X (step S304), the failure number distribution evaluation unit 209 receives the evaluation points Rx, Rx, for the communication area X from the network management variable storage unit 204. The threshold value Tx4 is read (step S308).

失敗数分布評価手段209は、読み取った値をもとに、通信エリアXにおいて失敗数が閾値Tx1以上である端末を対象に、失敗回数の端末ごとの分布の偏り度合いを評価する(ステップS309)。   The failure number distribution evaluation means 209 evaluates the degree of bias of the distribution of the number of failures for each terminal for terminals whose failure number is equal to or greater than the threshold Tx1 in the communication area X based on the read value (step S309). .

劣化原因推定手段208は、通信エリアXにおいて品質劣化を被る端末数の規模に関する劣化規模評価手段207の評価結果、及びを失敗数分布評価手段209が評価した失敗回数の端末ごとの分布の偏り度合いをもとに、品質劣化の原因を推定する(ステップS305’)。   The cause-of-degradation estimation means 208 is the degree of bias of the distribution for each terminal of the number of failures evaluated by the failure number distribution evaluation means 209 and the evaluation result of the deterioration scale evaluation means 207 regarding the scale of the number of terminals that suffer quality deterioration in the communication area X. Based on the above, the cause of quality deterioration is estimated (step S305 ′).

端末失敗率算出手段206、劣化規模評価手段207、失敗数分布評価手段209、劣化原因推定手段208は、それぞれ算出した結果を、品質統計記憶手段202に記憶させる(ステップS306’)。品質統計分析手段203は、それぞれの算出結果を表示手段205に出力する(ステップS307’)。   The terminal failure rate calculation means 206, the deterioration scale evaluation means 207, the failure number distribution evaluation means 209, and the deterioration cause estimation means 208 store the calculated results in the quality statistics storage means 202 (step S306 '). The quality statistical analysis means 203 outputs each calculation result to the display means 205 (step S307 ').

失敗数分布評価手段209が実行するステップS309の処理について、以下に詳述する。図15は、第2の実施形態における失敗数分布評価手段209の処理の例を説明するフローチャートである。失敗数分布評価手段209は、品質統計記憶手段202に記憶された端末ごとの失敗回数の分布をもとに、失敗数の累積比率の分布を算出する(ステップS600)。   The process of step S309 executed by the failure number distribution evaluation unit 209 will be described in detail below. FIG. 15 is a flowchart for explaining an example of processing of the failure number distribution evaluation unit 209 in the second embodiment. The failure number distribution evaluation unit 209 calculates a failure rate cumulative ratio distribution based on the failure frequency distribution for each terminal stored in the quality statistics storage unit 202 (step S600).

図16は、端末数に対する通信の失敗回数の累積比率の分布の例を示す説明図である。図16に示すように、失敗回数の累積比率の分布とは、端末数(図16に示すグラフの横軸)と、端末数をカウントする対象となった端末が失敗した失敗回数の和の最大値の関係を示した分布である。このとき、失敗回数の和の最大値は、対象とする範囲の失敗回数の総和(累積)(以下、失敗回数の総和(累積)F0と記す。)に対する比率で表す(図16に示すグラフの縦軸)。すなわち、端末数N(1≦N≦Ux’)と失敗回数の累積比率R(0≦R≦1)との関係は、以下に示す式4で与えられる。   FIG. 16 is an explanatory diagram illustrating an example of a distribution of a cumulative ratio of the number of communication failures with respect to the number of terminals. As shown in FIG. 16, the distribution of the cumulative ratio of the number of failures is the maximum of the sum of the number of failures (the horizontal axis of the graph shown in FIG. 16) and the number of failures where the terminal for which the number of terminals is counted failed. This distribution shows the relationship between values. At this time, the maximum value of the sum of the number of failures is expressed as a ratio to the sum (accumulation) of the number of failures in the target range (hereinafter referred to as the sum (accumulation) F0 of the number of failures) (in the graph shown in FIG. 16). Vertical axis). That is, the relationship between the number of terminals N (1 ≦ N ≦ Ux ′) and the cumulative number of failures R (0 ≦ R ≦ 1) is given by Equation 4 below.

Figure 0005239749
Figure 0005239749

なお、端末ごとの失敗回数fiは昇順に整列済みとする。また、上記式4に示す失敗回数の総和(累積)F0は、劣化規模評価手段207がステップS304にて決定したUx’の値がmx’の場合と、Uxの場合とに場合分けして、以下に示す式5によって求められる。   Note that the number of failures fi for each terminal is already arranged in ascending order. Further, the total number (failure) F0 of the number of failures shown in the above equation 4 is divided into a case where the value of Ux ′ determined by the degradation scale evaluation unit 207 in step S304 is mx ′ and a case of Ux, It is calculated | required by Formula 5 shown below.

Figure 0005239749
Figure 0005239749

失敗数分布評価手段209は、この関係をもとに、失敗数の累積比率Rが評価点Rxを上回る最小の端末数(以下、端末数Nxと記す。)を算出する(ステップS601)。   Based on this relationship, the failure number distribution evaluation unit 209 calculates the minimum number of terminals (hereinafter referred to as the number of terminals Nx) in which the cumulative number R of failure numbers exceeds the evaluation point Rx (step S601).

失敗数分布評価手段209は、失敗端末数Ux’に対する端末数Nxの割合(以下、失敗数分布の偏り度と記す。)が閾値Tx4より小さいか否かを判定する(ステップS602)。この失敗数分布の偏り度が小さいほど、失敗数分布の偏りが小さいといえる。そこで、失敗数分布の偏り度が閾値Tx4より小さい場合(ステップS602におけるYES)、失敗数分布評価手段209は、「失敗数分布の偏りが小さい」と判定する(ステップS603)。一方、失敗数分布の偏り度が閾値Tx4以上の場合、失敗数分布評価手段209は、「失敗数分布の偏りが大きい」と判定する(ステップS604)。   The failure number distribution evaluation unit 209 determines whether or not the ratio of the number of terminals Nx to the number of failed terminals Ux ′ (hereinafter referred to as the degree of bias of the failure number distribution) is smaller than the threshold Tx4 (step S602). It can be said that the smaller the failure degree distribution is, the smaller the failure number distribution is. Therefore, when the degree of bias of the failure number distribution is smaller than the threshold Tx4 (YES in step S602), the failure number distribution evaluation unit 209 determines that “the bias of the failure number distribution is small” (step S603). On the other hand, if the degree of bias of the failure number distribution is equal to or greater than the threshold Tx4, the failure number distribution evaluation unit 209 determines that “the bias of the failure number distribution is large” (step S604).

なお、失敗端末数Ux’が、品質統計記憶手段104に記憶される端末数の上限Mを上回る場合には、失敗数分布評価手段209が、信頼性の違い(例えば、失敗回数の和の最大値の差異について)を品質統計記憶手段202に登録し、品質統計分析手段203が、評価結果とともに、その登録した情報を表示手段205に表示してもよい。これらの処理により、失敗数分布の偏りを評価した結果の信頼性を向上させることができる。   When the number of failed terminals Ux ′ exceeds the upper limit M of the number of terminals stored in the quality statistics storage unit 104, the failure number distribution evaluation unit 209 determines the difference in reliability (for example, the maximum sum of the number of failures). The value statistics) may be registered in the quality statistics storage unit 202, and the quality statistics analysis unit 203 may display the registered information on the display unit 205 together with the evaluation result. By these processes, the reliability of the result of evaluating the deviation of the failure number distribution can be improved.

次に、劣化原因推定手段208が実行するステップS305’の処理について、以下に詳述する。図17は、第2の実施形態における劣化原因推定手段208の処理の例を説明するフローチャートである。劣化原因推定手段208が、品質統計記憶手段202から読み取った評価結果をもとに「大規模」か否かを判定するまでの処理、及びその評価結果が「大規模」と判定された場合の処理は、第1の実施形態におけるステップS500〜S501、及びステップS501におけるYES〜ステップS502(図9参照)と同様である。   Next, the process of step S305 'executed by the deterioration cause estimating means 208 will be described in detail below. FIG. 17 is a flowchart for explaining an example of processing of the deterioration cause estimating means 208 in the second embodiment. Processing until the deterioration cause estimation unit 208 determines whether or not it is “large-scale” based on the evaluation result read from the quality statistics storage unit 202, and when the evaluation result is determined to be “large-scale” The processing is the same as steps S500 to S501 in the first embodiment and YES to step S502 (see FIG. 9) in step S501.

評価結果が「大規模」でないと判定された場合(ステップS501におけるNO)、劣化原因推定手段208は、失敗数分布評価手段209が評価した通信エリアXに関する失敗数分布の評価結果をもとに(ステップS504)、その評価結果が「失敗数分布の偏りが大きい」か否かを判定する(ステップS505)。   When it is determined that the evaluation result is not “large-scale” (NO in step S501), the deterioration cause estimation unit 208 is based on the evaluation result of the failure number distribution regarding the communication area X evaluated by the failure number distribution evaluation unit 209. (Step S504), it is determined whether or not the evaluation result is “the deviation of the failure number distribution is large” (Step S505).

評価結果が「失敗数分布の偏りが大きい」である場合(ステップS505におけるYES)、失敗数分布評価手段209は、品質劣化の原因を「特定端末の故障または局所的な電波の不感地が原因」と推定して処理を終了する(ステップS503’)。一方、評価結果が「失敗数分布の偏りが大きい」でない場合(ステップS505におけるNO)、失敗数分布評価手段209は、品質劣化の原因を「網側装置の部分故障または局所的な電波の不感地が原因」と推定して処理を終了する(ステップS506)。   When the evaluation result is “the deviation of the failure number distribution is large” (YES in step S505), the failure number distribution evaluation unit 209 determines that the cause of the quality deterioration is “the failure of the specific terminal or the local dead zone of radio waves”. ”And the process is terminated (step S503 ′). On the other hand, when the evaluation result is not “the bias of the failure number distribution is large” (NO in step S505), the failure number distribution evaluation unit 209 determines that the cause of the quality degradation is “partial failure of the network side device or local radio wave insensitivity”. It is estimated that “the cause is the ground” and the process is terminated (step S506).

上記実施形態では、劣化原因推定手段208が、劣化規模評価手段207が判定した「小規模」と「大規模」の2種類の内容、及び失敗数分布評価手段209が評価した偏りの大小をもとに劣化原因を推定する場合について説明した。他にも、劣化規模評価手段207が、「小規模」と「大規模」以外の規模を判定してもよく、また、失敗数分布評価手段209が大小以外の偏りの評価をしてもよい。この場合、劣化原因推定手段208は、その判定内容、または評価をもとに劣化原因を推定してもよい。   In the above embodiment, the deterioration cause estimating means 208 has two types of contents “small” and “large” determined by the deterioration scale evaluating means 207, and the size of the bias evaluated by the failure number distribution evaluating means 209. In addition, the case of estimating the cause of deterioration has been described. In addition, the degradation scale evaluation unit 207 may determine a scale other than “small” and “large”, and the failure number distribution evaluation unit 209 may evaluate a bias other than large or small. . In this case, the deterioration cause estimation means 208 may estimate the deterioration cause based on the determination content or evaluation.

本発明によれば、上記した第1の実施形態の構成に加えて、端末ごとの失敗数の分布の偏りを評価して、より詳細に原因を推定する。よって、第1の実施形態の効果に加えて、特定端末の端末故障と網側装置の部分的な故障とを区別するのが容易となり、より正確に原因を推定することができる。   According to the present invention, in addition to the configuration of the first embodiment described above, a bias in the distribution of the number of failures for each terminal is evaluated, and the cause is estimated in more detail. Therefore, in addition to the effects of the first embodiment, it is easy to distinguish between a terminal failure of a specific terminal and a partial failure of the network side device, and the cause can be estimated more accurately.

特定端末の端末故障と網側装置の部分的な故障とを区別する方法について、以下に詳述する。図18は、通信エリアXに関して、通信の失敗回数の端末ごとの分布の例を示した説明図である。図18に示すように、他の端末に比べて、失敗回数の多い端末が存在する場合、失敗数の分布の偏りが大きくなる。本実施形態では、分布302と分布303の違いを区別できるため、特定端末の端末故障と網側装置の部分的な故障とをさらに区別することができる。   A method for distinguishing between a terminal failure of a specific terminal and a partial failure of the network side device will be described in detail below. FIG. 18 is an explanatory diagram showing an example of the distribution of the number of communication failures for each terminal with respect to the communication area X. As shown in FIG. 18, when there are terminals with a large number of failures compared to other terminals, the distribution of failure numbers becomes more uneven. In this embodiment, since the difference between the distribution 302 and the distribution 303 can be distinguished, a terminal failure of a specific terminal and a partial failure of the network side device can be further distinguished.

実施形態3.
次に、本発明の第3の実施形態における通信品質管理システムについて説明する。本発明の第3の実施形態は、品質統計記憶手段202に記録する端末数の上限Mを、通信エリアXのトラフィックに応じて動的に変更する点で、第1の実施形態、または第2の実施形態と異なる。以下、第1の実施形態、または第2の実施形態と同様の構成要素については同一の符号を付し、説明を省略する。
Embodiment 3. FIG.
Next, a communication quality management system according to the third embodiment of the present invention will be described. The third embodiment of the present invention is different from the first embodiment or the second embodiment in that the upper limit M of the number of terminals recorded in the quality statistics storage unit 202 is dynamically changed according to the traffic in the communication area X. Different from the embodiment. Hereinafter, the same components as those in the first embodiment or the second embodiment are denoted by the same reference numerals, and description thereof is omitted.

図19は、本発明の第3の実施形態における通信品質管理システムの一実施形態を示すブロック図である。本実施形態による通信品質管理システムは、無線基地局制御装置100と、網管理装置200とを備えているが、網管理装置200に、観測端末数決定手段210を備えている点で、第1の実施形態、または第2の実施形態と異なる。その他の構成は、第1の実施形態、または第2の実施形態と同様である。   FIG. 19 is a block diagram showing an embodiment of a communication quality management system according to the third embodiment of the present invention. The communication quality management system according to the present embodiment includes the radio base station control device 100 and the network management device 200, but the first is that the network management device 200 includes the observation terminal number determination means 210. Different from the second embodiment or the second embodiment. Other configurations are the same as those of the first embodiment or the second embodiment.

観測端末数決定手段210は、品質統計記憶手段202に記憶された通信エリアXに関する過去の観測期間のデータ、及び網管理変数記憶手段204に記憶された通信エリアXに関するデータから、品質統計記憶手段202で個別管理する通信エリアXの端末数の上限(以下、上限Mxと記す。)を決定する。   The number-of-observation-terminal determining means 210 uses the quality statistics storage means based on the past observation period data related to the communication area X stored in the quality statistics storage means 202 and the data related to the communication area X stored in the network management variable storage means 204. In 202, an upper limit (hereinafter referred to as an upper limit Mx) of the number of terminals in the communication area X individually managed is determined.

図20は、本発明の第3の実施形態における網管理変数記憶手段204のデータ構成の例を示す説明図である。本実施形態における網管理変数記憶手段204は、図13に示す内容に加えて、品質統計記憶手段202で個別管理する端末数の上限Mxを記憶している点で、第2の実施形態と異なる。   FIG. 20 is an explanatory diagram showing an example of the data configuration of the network management variable storage unit 204 in the third embodiment of the present invention. The network management variable storage unit 204 in the present embodiment is different from the second embodiment in that in addition to the contents shown in FIG. 13, the upper limit Mx of the number of terminals individually managed by the quality statistics storage unit 202 is stored. .

品質統計取得手段201と、品質統計分析手段203(より詳しくは、端末失敗率算出手段206と、劣化規模評価手段207と、劣化原因推定手段208と、失敗数分布評価手段209)と、観測端末数決定手段210とは、例えば、プログラムに従って動作する網管理装置200のCPUによって実現される。例えば、プログラムは、網管理装置200の記憶手段(図示せず)に記憶され、CPUは、そのプログラムを読み取り、プログラムに従って、品質統計取得手段201、品質統計分析手段203(より詳しくは、端末失敗率算出手段206、劣化規模評価手段207、劣化原因推定手段208、失敗数分布評価手段209)、観測端末数決定手段210として動作してもよい。   Quality statistics acquisition means 201, quality statistics analysis means 203 (more specifically, terminal failure rate calculation means 206, deterioration scale evaluation means 207, deterioration cause estimation means 208, failure number distribution evaluation means 209), observation terminal The number determining means 210 is realized by the CPU of the network management apparatus 200 that operates according to a program, for example. For example, the program is stored in a storage unit (not shown) of the network management apparatus 200, and the CPU reads the program, and in accordance with the program, the quality statistics acquisition unit 201, the quality statistics analysis unit 203 (more specifically, terminal failure) The rate calculating unit 206, the degradation scale evaluating unit 207, the degradation cause estimating unit 208, the failure number distribution evaluating unit 209), and the observation terminal number determining unit 210 may be operated.

次に、動作について説明する。なお、本実施形態の説明では、網管理変数記憶手段204には、過去の観測期間において決定された端末数の上限Mxが、既に記憶されている場合を例に説明する。初期状態では、端末数の上限Mxは、例えば、網管理装置200の管理者が、初期値として任意の値を設定しておけばよい。   Next, the operation will be described. In the description of the present embodiment, a case will be described as an example where the network management variable storage unit 204 has already stored the upper limit Mx of the number of terminals determined in the past observation period. In the initial state, for the upper limit Mx of the number of terminals, for example, an administrator of the network management apparatus 200 may set an arbitrary value as an initial value.

また、品質統計取得手段201が、品質統計記憶手段104から通信エリアXの品質統計を受信してから、品質統計分析手段203が表示手段205に分析結果を表示するまでの処理は、第1の実施形態におけるステップS300〜S307(図7参照)、もしくは、第2の実施形態におけるステップS300〜S307’(図14参照)と同様である。   The processing from when the quality statistics acquisition unit 201 receives the quality statistics of the communication area X from the quality statistics storage unit 104 until the quality statistics analysis unit 203 displays the analysis result on the display unit 205 is the first process. This is the same as steps S300 to S307 (see FIG. 7) in the embodiment or steps S300 to S307 ′ (see FIG. 14) in the second embodiment.

図21は、本実施形態における観測端末数決定手段210の処理の例を示すフローチャートである。観測端末数決定手段210は、例えば、網管理装置200の入力手段(図示せず)を介して行われる管理者の指示に応じ、管理対象とする通信エリアXに対して個別管理する端末数の上限Mxを決定する観測期間を検知する(ステップS700)。   FIG. 21 is a flowchart illustrating an example of processing of the observation terminal number determination unit 210 in the present embodiment. The number-of-observation-terminal determining means 210 is, for example, the number of terminals that are individually managed for the communication area X to be managed in response to an instruction from the administrator through an input means (not shown) of the network management apparatus 200. An observation period for determining the upper limit Mx is detected (step S700).

次に、観測端末数決定手段210は、検知した観測期間における通信の試行回数Ax、通信の失敗回数Fx、失敗端末数Ux、端末ごとの通信の失敗回数fiを品質統計記憶手段202から読み取る(ステップS701)。また、観測端末数決定手段210は、端末失敗数の閾値Tx3、失敗数の累積比率の評価点Rx、個別管理する端末数の上限Mxを網管理変数記憶手段204から読み取る(ステップS702)。   Next, the number-of-observation-terminals determining unit 210 reads from the quality statistics storage unit 202 the number of communication attempts Ax, the number of communication failures Fx, the number of failed terminals Ux, and the number of communication failures fi for each terminal in the detected observation period ( Step S701). Further, the observation terminal number determining unit 210 reads the threshold value Tx3 of the terminal failure number, the evaluation point Rx of the cumulative number of failure numbers, and the upper limit Mx of the number of individually managed terminals from the network management variable storage unit 204 (step S702).

次に、観測端末数決定手段210は、劣化規模を正確に評価するのに必要な端末数(以下、端末数M1と記す。)を算出する(ステップS703)。端末数M1は、例えば、以下に示す式6に従って算出される。   Next, the observation terminal number determination means 210 calculates the number of terminals (hereinafter referred to as the number of terminals M1) necessary for accurately evaluating the degradation scale (step S703). The number of terminals M1 is calculated according to Equation 6 shown below, for example.

Figure 0005239749
Figure 0005239749

ここで、int[x]は、引数xの値を超えない最大の整数を返却する関数である。   Here, int [x] is a function that returns the maximum integer that does not exceed the value of the argument x.

観測端末数決定手段210は、失敗数分布を正確に評価するのに必要な端末数(以下、端末数M2と記す。)を算出する(ステップS704)。端末数M2は、例えば、以下に示す式7にしたがって算出される。   The observation terminal number determining means 210 calculates the number of terminals (hereinafter referred to as the number of terminals M2) necessary for accurately evaluating the failure number distribution (step S704). The number of terminals M2 is calculated according to Equation 7 shown below, for example.

Figure 0005239749
Figure 0005239749

観測端末数決定手段210は、管理対象とする通信エリア数、及び網管理装置200に記憶可能な記憶容量から、個別管理が可能な端末数の上限(以下、端末数M0と記す。)を算出する(ステップS705)。端末数M0の値は、例えば、通信イベント種別の種類、通信エリアの数などをもとに、品質統計記憶手段202に記憶可能な記憶容量を考慮して端末数を算出すればよい。   The observation terminal number determination means 210 calculates the upper limit of the number of terminals that can be managed individually (hereinafter referred to as the number of terminals M0) from the number of communication areas to be managed and the storage capacity that can be stored in the network management apparatus 200. (Step S705). As the value of the number of terminals M0, for example, the number of terminals may be calculated in consideration of the storage capacity that can be stored in the quality statistics storage unit 202 based on the type of communication event type, the number of communication areas, and the like.

観測端末数決定手段210は、端末数M1、端末数M2、端末数M0をもとに、通信エリアXで個別管理の対象とする端末数の上限Mxを、例えば、以下に示す式8にしたがって算出する。   Based on the number of terminals M1, the number of terminals M2, and the number of terminals M0, the observation terminal number determination means 210 sets the upper limit Mx of the number of terminals to be individually managed in the communication area X, for example, according to Equation 8 below. calculate.

Figure 0005239749
Figure 0005239749

ここで、min(x,y)は引数xとyのうち、小さい方の値を返却する関数であり、max(x,y)は引数xとyのうち、大きい方の値を返却する関数である。   Here, min (x, y) is a function that returns the smaller value of the arguments x and y, and max (x, y) is a function that returns the larger value of the arguments x and y. It is.

観測端末数決定手段210は、網管理変数記憶手段204に記憶されている端末数の上限を、算出した端末数の上限Mxで更新する(ステップS707)。観測端末数決定手段210は、更新した旨を、観測端末選択手段103に通知する(ステップS708)。   The observation terminal number determination unit 210 updates the upper limit of the number of terminals stored in the network management variable storage unit 204 with the calculated upper limit Mx of the number of terminals (step S707). The observation terminal number determination unit 210 notifies the observation terminal selection unit 103 of the update (step S708).

上記説明では、観測端末数決定手段210は、式5及び式6において、過去の観測期間における通信の試行回数Ax、通信の失敗回数Fx、失敗端末数Ux、端末ごとの通信の失敗回数fiを用いる場合を例に説明した。それ以外にも、例えば、観測端末数決定手段210は、過去の複数の観測期間の値から回帰予測などの時系列手法を用いて、また、決定対象とする観測期間に対して予測した値を用いて、式5及び式6を計算してもよいが、これらの回数や端末数の計算方法は、上記方法に限定されない。   In the above description, the observation terminal number determination means 210 uses the number of communication attempts Ax, the number of communication failures Fx, the number of failed terminals Ux, and the number of communication failures fi for each terminal in Expressions 5 and 6 in the past observation period. The case where it is used has been described as an example. In addition to this, for example, the observation terminal number determination unit 210 uses a time series method such as regression prediction from the values of a plurality of past observation periods, and calculates a value predicted for the observation period to be determined. The equations 5 and 6 may be calculated by using them, but the number of times and the method of calculating the number of terminals are not limited to the above methods.

本発明によれば、第1の実施形態、または第2の実施形態の構成に加え、品質統計記憶手段202に記憶された情報をもとに、通信エリアごとの管理対象端末の台数を算出し、その台数を無線基地局制御装置100に送信する。すなわち、無線基地局制御装置100は、個別管理の対象とする上限Mをトラフィックに応じて動的に変更できる。よって、第1の実施形態、または第2の実施形態の効果に加えて、評価に必要な台数の端末を個別管理して劣化規模や失敗分布をより正確に評価することができる。   According to the present invention, in addition to the configuration of the first embodiment or the second embodiment, the number of managed terminals for each communication area is calculated based on the information stored in the quality statistics storage unit 202. Then, the number is transmitted to the radio base station controller 100. That is, the radio base station controller 100 can dynamically change the upper limit M to be individually managed according to traffic. Therefore, in addition to the effects of the first embodiment or the second embodiment, it is possible to individually manage the number of terminals necessary for the evaluation and more accurately evaluate the deterioration scale and the failure distribution.

図22は、本発明における通信品質管理システムの概要を示すブロック図である。本発明における通信品質管理システムは、移動体通信網に接続され、通信エリア内の通信を検知する通信検知装置8(例えば、無線基地局制御装置100)と、移動体通信網に接続され、通信検知装置8が検知した通信の情報をもとに、通信の品質を分析する網管理装置9(例えば、網管理装置200)とを備えている。   FIG. 22 is a block diagram showing an outline of a communication quality management system in the present invention. The communication quality management system according to the present invention is connected to a mobile communication network and is connected to a communication detection device 8 (for example, a radio base station control device 100) that detects communication in a communication area, and is connected to the mobile communication network. A network management device 9 (for example, the network management device 200) that analyzes communication quality based on communication information detected by the detection device 8 is provided.

通信検知装置8は、通信エリア内の移動端末が所定の期間(例えば、観測期間)に行った通信の試行回数(例えば、試行回数Ax)と、通信の失敗回数(例えば、失敗回数Fx)と、通信に失敗した移動端末の総数(例えば、失敗端末数Ux)を示す失敗端末数とを含む期間通信情報と、移動端末ごとに通信の失敗に関する情報(例えば、失敗回数fi、最終更新時刻ti)を含む端末失敗情報とを記憶する通信情報記憶手段81(例えば、品質統計記憶手段104)と、通信エリア内の通信の試行(例えば、通信イベント)及び通信の失敗(例えば、通信の失敗)を検出する検出手段82(例えば、呼処理制御手段101)と、検出手段82が通信の試行及び通信の失敗を検知したときに、通信の試行回数及び通信の失敗回数をもとに期間通信情報を集計して、通信情報記憶手段81に登録する通信情報登録手段83(例えば、品質統計管理手段106)と、検出手段82が、通信の失敗を検出したときに、通信に失敗した移動端末を、通信品質の算出対象とする管理対象端末として特定する管理対象端末特定手段84(例えば、観測端末選択手段103)と、管理対象端末特定手段84が特定した管理対象端末ごとに端末失敗情報を集計して、通信情報記憶手段81に登録する端末集計情報登録手段85(例えば、品質統計集計手段105)を備えている。   The communication detection device 8 includes the number of communication attempts (for example, the number of attempts Ax) performed by a mobile terminal in the communication area in a predetermined period (for example, the observation period), the number of communication failures (for example, the number of failures Fx), and the like. The period communication information including the total number of mobile terminals that have failed to communicate (for example, the number of failed terminals Ux) and information related to communication failures for each mobile terminal (for example, the number of failures fi, the last update time ti) ) Including communication failure information storage means 81 (for example, quality statistics storage means 104), communication attempts within the communication area (for example, communication events), and communication failures (for example, communication failures). Detecting means 82 (for example, call processing control means 101), and when detecting means 82 detects a communication attempt and a communication failure, a period based on the number of communication attempts and the number of communication failures The communication information registration means 83 (for example, the quality statistics management means 106) that aggregates the communication information and registers it in the communication information storage means 81 and the movement that failed in communication when the detection means 82 detects a communication failure. Terminal failure information for each management target terminal specified by the management target terminal specifying unit 84 (for example, the observation terminal selecting unit 103) and the management target terminal specifying unit 84 that specifies a terminal as a management target terminal for which communication quality is to be calculated. Terminal totaling information registration means 85 (for example, quality statistics totaling means 105) is provided.

網管理装置9は、通信情報記憶手段81(例えば、品質統計記憶手段202)に記憶された期間通信情報(例えば、試行回数Ax、失敗回数Fx、失敗端末数Ux)をもとに、通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率(例えば、端末失敗率Qx)を算出する(例えば、式1により算出する)端末失敗率算出手段91(例えば、端末失敗率算出手段206)と、端末失敗情報、及び端末失敗率をもとに、品質劣化を被る端末数の規模を評価する劣化規模評価手段92(例えば、劣化規模評価手段207)と、端末数の規模をもとに、品質劣化の原因を推定する劣化原因推定手段93(例えば、劣化原因推定手段208)とを備えている。   The network management device 9 performs communication based on the period communication information (for example, the number of attempts Ax, the number of failures Fx, the number of failed terminals Ux) stored in the communication information storage unit 81 (for example, the quality statistics storage unit 202). Terminal failure rate calculating means 91 (for example, terminal failure) that calculates a terminal failure rate (for example, terminal failure rate Qx) that indicates the ratio of the number of terminals that have failed to communicate with the number of mobile terminals that have been performed. Rate calculation means 206), deterioration scale evaluation means 92 (for example, deterioration scale evaluation means 207) for evaluating the scale of the number of terminals that suffer quality degradation based on the terminal failure information and the terminal failure rate, Deterioration cause estimating means 93 (for example, deterioration cause estimating means 208) for estimating the cause of quality deterioration based on the scale is provided.

そのような構成により、品質劣化を被る端末数の規模の評価、及び品質劣化の原因の推定を、必要な記憶容量を抑えて迅速かつ正確に行うことができる。   With such a configuration, it is possible to quickly and accurately estimate the scale of the number of terminals that suffer quality degradation and estimate the cause of quality degradation while reducing the necessary storage capacity.

すなわち、通信検知装置8は、通信エリア内で通信に失敗する全ての端末の情報を記録する場合に比べて必要な記憶容量を抑えることができ、網管理装置200へのデータ転送に要する時間も抑えることができる。   That is, the communication detection device 8 can reduce the necessary storage capacity compared to the case of recording information of all terminals that fail to communicate within the communication area, and the time required for data transfer to the network management device 200 is also reduced. Can be suppressed.

さらに、通信の試行あたりの通信の失敗率を用いる方法に比べて、特に何度も繰り返して通信に失敗する端末が存在する環境下(すなわち、失敗回数Fx≠失敗端末数Uxの場合)において、品質劣化を被る端末数の規模をより的確に評価することができる。   Furthermore, in comparison with a method using a communication failure rate per communication attempt, particularly in an environment where there are terminals that repeatedly fail to communicate (that is, when the number of times of failure Fx ≠ the number of failed terminals Ux), It is possible to more accurately evaluate the scale of the number of terminals that suffer quality degradation.

さらに、トラフィックが比較的少ない無線セルにおいても、品質劣化の原因が、電波の局所的な不感地や端末故障によるものか、網側の装置故障によるものかを区別するのが容易となり、原因をより正確に推定することができる。   Furthermore, even in a wireless cell with relatively little traffic, it is easy to distinguish whether the cause of quality degradation is due to a local dead zone or a terminal failure, or a device failure on the network side. It can be estimated more accurately.

また、上記実施形態には、網管理装置9が、通信情報記憶手段81に記憶された期間通信情報及び端末失敗情報をもとに、移動端末ごとの失敗数の分布の偏りを評価する失敗数分布評価手段(例えば、失敗数分布評価手段209)を備え、劣化原因推定手段93が、端末数の規模及び失敗数の分布の偏りをもとに、品質劣化の原因を推定する構成が開示されている。   In the above embodiment, the network management apparatus 9 evaluates the distribution of failure numbers for each mobile terminal based on the period communication information and terminal failure information stored in the communication information storage unit 81. Disclosed is a configuration that includes distribution evaluation means (for example, failure number distribution evaluation means 209), and that causes the deterioration cause estimation means 93 to estimate the cause of quality deterioration based on the size of the number of terminals and the distribution of the number of failures. ing.

具体的には、失敗数分布評価手段が、個々の管理対象端末の失敗回数(失敗回数fi)と通信エリアで生じた通信の失敗の総数(例えば、失敗回数の総和(累積)F0)の比率を管理端末数の増加に応じて加算した累積比率(例えば、累積比率R)を算出し、所定の累積比率(例えば、評価点Rx)を上回る最小の管理端末数(例えば、端末数Nx)が通信エリアで通信に失敗した端末の総数に対して所定の閾値(例えば、閾値Tx4)未満である場合に、失敗数の分布の偏りが大きいと評価し、所定の閾値以上である場合に、失敗数の分布の偏りが小さいと評価してもよい。   Specifically, the failure number distribution evaluation means is a ratio of the number of failures of individual managed terminals (failure number fi) to the total number of communication failures that occurred in the communication area (for example, the total number of failures (cumulative) F0). Is accumulated according to the increase in the number of management terminals (for example, the accumulation ratio R), and the minimum number of management terminals (for example, the number of terminals Nx) exceeding a predetermined accumulation ratio (for example, the evaluation point Rx) is calculated. When the total number of terminals that have failed to communicate in the communication area is less than a predetermined threshold (for example, threshold Tx4), it is evaluated that the deviation in the distribution of the number of failures is large. It may be evaluated that the distribution of numbers is small.

そのような構成により、特定端末の端末故障と網側装置の部分的な故障とを区別するのが容易となり、より正確に原因を推定することができる。   With such a configuration, it becomes easy to distinguish between a terminal failure of a specific terminal and a partial failure of a network side device, and the cause can be estimated more accurately.

また、劣化規模評価手段92が、端末失敗率が所定の閾値(例えば、閾値Tx3)未満の場合に品質劣化を被る端末数の規模を小規模と判断し、端末失敗率が所定の閾値以上の場合に品質劣化を被る端末数の規模を大規模と判断してもよい。   Further, the degradation scale evaluation means 92 determines that the scale of the number of terminals suffering quality degradation when the terminal failure rate is less than a predetermined threshold (for example, threshold Tx3) is small, and the terminal failure rate is greater than or equal to the predetermined threshold. In this case, the scale of the number of terminals that suffer quality degradation may be determined to be large.

また、劣化原因推定手段93が、劣化規模評価手段92が品質劣化を被る端末数の規模を大規模と判断したときに、移動端末と通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定し、劣化規模評価手段92が品質劣化を被る端末数の規模を小規模と判断したときに、特定の移動端末の故障または局所的な電波の不感知が品質劣化の原因と推定してもよい。   Further, when the degradation cause estimating means 93 determines that the scale of the number of terminals that the degradation scale evaluation means 92 suffers from quality degradation is large, a network side device or communication that relays communication between the mobile terminal and the communication detection device is used. When it is estimated that the failure of the relay line to be relayed is the cause of the quality deterioration, and the deterioration scale evaluation means 92 determines that the number of terminals suffering the quality deterioration is small, the failure of a specific mobile terminal or local radio wave It may be estimated that non-sensing is the cause of quality degradation.

また、劣化原因推定手段93が、劣化規模評価手段92が品質劣化を被る端末数の規模を大規模と判断したときに、移動端末と通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定し、劣化規模評価手段92が品質劣化を被る端末数の規模を小規模と判断したときであって、失敗数分布評価手段が失敗数の分布の偏りが小さいと評価したときに、網側装置の部分故障または局所的な電波の不感知と推定してもよい。   Further, when the degradation cause estimating means 93 determines that the scale of the number of terminals that the degradation scale evaluation means 92 suffers from quality degradation is large, a network side device or communication that relays communication between the mobile terminal and the communication detection device is used. When the failure of the relay line to be relayed is estimated to be the cause of the quality deterioration, and the deterioration scale evaluation means 92 determines that the number of terminals suffering the quality deterioration is small, the failure number distribution evaluation means calculates the failure number distribution. When it is evaluated that the bias is small, it may be estimated that a partial failure of the network side device or local insensitiveness of radio waves is detected.

また、上記実施形態には、網管理装置9が、端末失敗情報をもとに、通信エリアごとの管理対象端末の台数を算出する台数算出手段(例えば、観測端末数決定手段210)と、台数を通信検知装置8に送信する送信手段(例えば、観測端末数決定手段210)を備えた構成が開示されている。   In the above-described embodiment, the network management device 9 calculates the number of managed terminals for each communication area based on the terminal failure information (for example, the number of observation terminals determining means 210), Is provided with a transmission means (for example, observation terminal number determination means 210) for transmitting the information to the communication detection device 8.

具体的には、台数算出手段が、品質劣化を被る端末数を正確に評価するために必要な個別管理の端末数である品質劣化評価端末数(例えば、端末数M1)と、失敗数分布の偏りを正確に評価するのに必要な個別管理の端末数である分布評価端末数(例えば、端末数M1)と、通信検知装置8の記憶領域に監視情報を記憶可能な最大の端末数(例えば、端末数M0)とを算出し、品質劣化評価端末数、分布評価端末数及び最大端末数をもとに個別管理の対象とする端末数を算出してもよい。具体的には、台数算出手段が、過去の観測期間の通信の試行回数、失敗回数、通信に失敗した端末数、個別管理する移動端末ごとの通信の失敗回数をもとに、品質劣化評価端末数及び分布評価端末数を算出してもよい。   Specifically, the number calculation means has the number of quality degradation evaluation terminals (for example, the number of terminals M1), which is the number of individually managed terminals necessary for accurately evaluating the number of terminals suffering quality degradation, and the failure number distribution. The number of distribution evaluation terminals (for example, the number of terminals M1), which is the number of individually managed terminals necessary for accurately evaluating the bias, and the maximum number of terminals (for example, the monitoring information can be stored in the storage area of the communication detection device 8). The number of terminals M0) may be calculated and the number of terminals subject to individual management may be calculated based on the number of quality degradation evaluation terminals, the number of distribution evaluation terminals, and the maximum number of terminals. Specifically, the number calculation means is based on the number of communication attempts in the past observation period, the number of failures, the number of terminals that have failed in communication, and the number of communication failures for each mobile terminal that is managed individually. The number and the number of distribution evaluation terminals may be calculated.

そのような構成により、評価に必要な台数の端末を個別管理して劣化規模や失敗分布をより正確に評価することができる。   With such a configuration, it is possible to manage the number of terminals necessary for evaluation individually and more accurately evaluate the deterioration scale and failure distribution.

また、管理対象端末特定手段84が、移動端末を管理対象端末として特定したときに、通信エリアごとの管理対象端末が所定の台数(例えば、上限M)を超えている場合に、管理対象端末を所定の台数以下に限定してもよい。具体的には、管理対象端末特定手段84が、通信エリアごとの管理対象端末が所定の台数(例えば、上限M)を超えている場合に、通信エリアにおける単位時間あたりの通信の失敗回数が大きい移動端末から優先して選択することにより、管理対象端末を所定の台数以下に限定してもよい。   Further, when the management target terminal specifying unit 84 specifies the mobile terminal as the management target terminal, if the management target terminal for each communication area exceeds a predetermined number (for example, the upper limit M), the management target terminal is selected. You may limit to below a predetermined number. Specifically, when the management target terminal specifying unit 84 exceeds a predetermined number (for example, the upper limit M) of management target terminals for each communication area, the number of communication failures per unit time in the communication area is large. You may limit a management object terminal to below a predetermined number by selecting with priority from a mobile terminal.

また、端末失敗率算出手段91が、通信情報記憶手段81に期間通信情報として記憶された、通信の試行回数(例えば、試行回数Ax)と、通信の失敗回数(例えば、失敗回数Fx)と、通信に失敗した移動端末の総数(例えば、失敗端末数Ux)をもとに、通信エリア内で通信を行った通信端末数を算出(例えば、式1の分母を算出)する通信端末数算出手段と、通信に失敗した移動端末の総数と通信端末数との比から端末失敗率を算出する(例えば、式1)失敗率算出手段(例えば、端末失敗率算出手段206)とを備えていてもよい。   In addition, the terminal failure rate calculation unit 91 stores the number of communication attempts (for example, the number of attempts Ax), the number of communication failures (for example, the number of failures Fx) stored as the period communication information in the communication information storage unit 81, Communication terminal number calculating means for calculating the number of communication terminals that have performed communication within the communication area (for example, calculating the denominator of Equation 1) based on the total number of mobile terminals that have failed to communicate (for example, the number of failed terminals Ux). And a failure rate calculation means (for example, terminal failure rate calculation means 206) that calculates a terminal failure rate from the ratio of the total number of mobile terminals that failed to communicate and the number of communication terminals (for example, Equation 1). Good.

また、通信端末数算出手段が、同一の移動端末が重複して発生させた通信の失敗の回数を、通信エリアごとの通信の失敗回数から除外することにより、通信エリア内で通信を行った通信端末数を算出(例えば、式1の分母を算出)してもよい。   In addition, the communication terminal number calculating means excludes the number of communication failures generated by the same mobile terminal repeatedly from the number of communication failures for each communication area, thereby performing communication in the communication area. The number of terminals may be calculated (for example, the denominator of Equation 1 is calculated).

本発明は、通信エリア内の移動端末ごとに通信品質の指標を管理する通信品質管理システムに好適に適用される。   The present invention is preferably applied to a communication quality management system that manages an index of communication quality for each mobile terminal in a communication area.

本発明の第1の実施形態における通信品質管理システムの一実施形態を示すブロック図である。It is a block diagram which shows one Embodiment of the communication quality management system in the 1st Embodiment of this invention. 本発明の第1の実施形態における品質統計記憶手段104のデータ構成の例を示す説明図である。It is explanatory drawing which shows the example of a data structure of the quality statistics memory | storage means 104 in the 1st Embodiment of this invention. 第1の実施形態における品質統計分析手段203の構成の例を示す説明図である。It is explanatory drawing which shows the example of a structure of the quality statistics analysis means 203 in 1st Embodiment. 本発明の第1の実施形態における品質統計記憶手段202のデータ構成の例を示す説明図である。It is explanatory drawing which shows the example of a data structure of the quality statistics storage means 202 in the 1st Embodiment of this invention. 本発明の第1の実施形態における網管理変数記憶手段204のデータ構成の一を示す説明図である。It is explanatory drawing which shows one data structure of the network management variable memory | storage means 204 in the 1st Embodiment of this invention. 第1の実施形態における品質統計管理手段106の処理の例を示すフローチャートである。It is a flowchart which shows the example of a process of the quality statistics management means 106 in 1st Embodiment. 本実施形態における網管理装置200の処理の例を説明するためのフローチャートである。It is a flowchart for demonstrating the example of the process of the network management apparatus 200 in this embodiment. 第1の実施形態における劣化規模評価手段207の処理の例を説明するフローチャートである。It is a flowchart explaining the example of a process of the degradation scale evaluation means 207 in 1st Embodiment. 第1の実施形態における劣化原因推定手段208の処理の例を説明するフローチャートである。It is a flowchart explaining the example of a process of the deterioration cause estimation means 208 in 1st Embodiment. 通信エリアXに関して、通信の失敗回数の端末ごとの分布の例を示した説明図である。It is explanatory drawing which showed the example of distribution for every terminal of the frequency of communication failure regarding the communication area X. 本発明の第2の実施形態における品質統計分析手段203の構成の例を示す説明図である。It is explanatory drawing which shows the example of a structure of the quality statistics analysis means 203 in the 2nd Embodiment of this invention. 本発明の第2の実施形態における品質統計記憶手段202のデータ構成の例を示す説明図である。It is explanatory drawing which shows the example of a data structure of the quality statistics storage means 202 in the 2nd Embodiment of this invention. 本発明の第2の実施形態による網管理変数記憶手段204のデータ構成の例を示す説明図である。It is explanatory drawing which shows the example of a data structure of the network management variable memory | storage means 204 by the 2nd Embodiment of this invention. 第2の実施形態における網管理装置200の処理の例を示すフローチャートである。It is a flowchart which shows the example of a process of the network management apparatus 200 in 2nd Embodiment. 第2の実施形態における失敗数分布評価手段209の処理の例を説明するフローチャートである。It is a flowchart explaining the example of a process of the failure number distribution evaluation means 209 in 2nd Embodiment. 端末数に対する失敗数の累積比率の分布の例を示す説明図である。It is explanatory drawing which shows the example of distribution of the cumulative ratio of the failure number with respect to the number of terminals. 第2の実施形態における劣化原因推定手段208の処理の例を説明するフローチャートである。It is a flowchart explaining the example of a process of the deterioration cause estimation means 208 in 2nd Embodiment. 通信エリアXに関して、通信の失敗回数の端末ごとの分布の例を示した説明図である。It is explanatory drawing which showed the example of distribution for every terminal of the frequency of communication failure regarding the communication area X. 本発明の第3の実施形態における通信品質管理システムの一実施形態を示すブロック図である。It is a block diagram which shows one Embodiment of the communication quality management system in the 3rd Embodiment of this invention. 本発明の第3の実施形態における網管理変数記憶手段204のデータ構成の例を示す説明図である。It is explanatory drawing which shows the example of a data structure of the network management variable memory | storage means 204 in the 3rd Embodiment of this invention. 本実施形態における観測端末数決定手段210の処理の例を示すフローチャートである。It is a flowchart which shows the example of a process of the observation terminal number determination means 210 in this embodiment. 本発明における通信品質管理システムの概要を示すブロック図である。It is a block diagram which shows the outline | summary of the communication quality management system in this invention. 移動体通信網の構成の例を示したブロック図である。It is the block diagram which showed the example of the structure of the mobile communication network.

符号の説明Explanation of symbols

10〜14 移動端末
20〜24 無線リンク
30〜32 無線基地局
40〜46、40a〜45a 有線リンク
60 移動通信コア網
70 外部網
80〜82 無線セル
100、100a 無線基地局制御装置
200、200a 網管理装置
101 呼処理制御手段
102 通信イベント異常検出手段
103 観測端末選択手段
104、202 品質統計記憶手段
105 品質統計集計手段
106 品質統計管理手段
201 品質統計取得手段
203 品質統計分析手段
204 網管理変数記憶手段
205 表示手段
206 端末失敗率算出手段
207 劣化規模評価手段
208 劣化原因推定手段
209 失敗数分布評価手段
300〜303 失敗回数の端末分布
10-14 Mobile terminal 20-24 Radio link 30-32 Radio base station 40-46, 40a-45a Wired link 60 Mobile communication core network 70 External network 80-82 Radio cell 100, 100a Radio base station controller 200, 200a network Management apparatus 101 Call processing control means 102 Communication event abnormality detection means 103 Observation terminal selection means 104, 202 Quality statistics storage means 105 Quality statistics aggregation means 106 Quality statistics management means 201 Quality statistics acquisition means 203 Quality statistics analysis means 204 Network management variable storage Means 205 Display means 206 Terminal failure rate calculation means 207 Degradation scale evaluation means 208 Deterioration cause estimation means 209 Failure number distribution evaluation means 300 to 303 Failure distribution terminal distribution

Claims (37)

移動体通信網に接続され、通信エリア内の通信を検知する通信検知装置と、
移動体通信網に接続され、前記通信検知装置が検知した通信の情報をもとに、通信の品質を分析する網管理装置とを備え、
前記通信検知装置は、
通信エリア内の移動端末が所定の期間に行った通信の試行回数と、当該通信の失敗回数と、当該通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、移動端末ごとに通信の失敗に関する情報を含む端末失敗情報とを記憶する通信情報記憶手段と、
通信エリア内の通信の試行及び当該通信の失敗を検出する検出手段と、
前記検出手段が前記通信の試行及び前記通信の失敗を検知したときに、当該通信の試行回数及び通信の失敗回数をもとに期間通信情報を集計して、前記通信情報記憶手段に登録する通信情報登録手段と、
前記検出手段が、前記通信の失敗を検出したときに、当該通信に失敗した移動端末を、通信品質の算出対象とする管理対象端末として特定する管理対象端末特定手段と、
前記管理対象端末特定手段が特定した管理対象端末ごとに前記端末失敗情報を集計して、前記通信情報記憶手段に登録する端末集計情報登録手段を備え、
前記網管理装置は、
前記通信情報記憶手段に記憶された前記期間通信情報をもとに、通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率を算出する端末失敗率算出手段と、
前記通信情報記憶手段に記憶された前記端末失敗情報、及び前記端末失敗率をもとに、品質劣化を被る端末数の規模を評価する劣化規模評価手段と、
前記端末数の規模をもとに、品質劣化の原因を推定する劣化原因推定手段とを備え
前記劣化規模評価手段は、前記端末失敗率が所定の閾値以上の場合に品質劣化を被る端末数の規模を大規模と判断し、
前記劣化原因推定手段は、劣化規模評価手段が品質劣化を被る端末数の規模を大規模と判断したときに、移動端末と前記通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定する
ことを特徴とする通信品質管理システム。
A communication detection device connected to a mobile communication network for detecting communication in a communication area;
A network management device connected to a mobile communication network and analyzing communication quality based on communication information detected by the communication detection device;
The communication detection device is:
Periodic communication information including the number of communication attempts performed by a mobile terminal in a communication area in a predetermined period, the number of communication failures, and the number of failed terminals indicating the total number of mobile terminals that have failed in the communication, and the mobile terminal Communication information storage means for storing terminal failure information including information on communication failure for each,
A detecting means for detecting a communication attempt in the communication area and a failure of the communication;
When the detecting means detects the communication attempt and the communication failure, the communication information is totaled for the period based on the number of communication attempts and the number of communication failures and registered in the communication information storage means. Information registration means;
When the detection means detects the communication failure, a management target terminal specifying means for specifying a mobile terminal that has failed in the communication as a management target terminal for calculating communication quality;
A terminal total information registration unit that totals the terminal failure information for each management target terminal identified by the management target terminal identification unit and registers the information in the communication information storage unit;
The network management device
Based on the period communication information stored in the communication information storage unit, a terminal failure rate calculating unit that calculates a terminal failure rate indicating a ratio of the number of terminals that failed to communicate with the number of mobile terminals that performed communication;
Degradation scale evaluation means for evaluating the scale of the number of terminals that suffer quality degradation based on the terminal failure information stored in the communication information storage means and the terminal failure rate;
A deterioration cause estimating means for estimating the cause of quality deterioration based on the scale of the number of terminals ;
The degradation scale evaluation means determines that the scale of the number of terminals that suffer quality degradation when the terminal failure rate is equal to or greater than a predetermined threshold is a large scale,
The degradation cause estimation unit relays a network side device or a communication that relays communication between a mobile terminal and the communication detection device when the degradation scale evaluation unit determines that the number of terminals subjected to quality degradation is large. A communication quality management system characterized by estimating failure of a trunk line as a cause of quality degradation .
網管理装置は、
通信情報記憶手段に記憶された期間通信情報及び端末失敗情報をもとに、移動端末ごとの失敗数の分布の偏りを評価する失敗数分布評価手段を備え、
劣化原因推定手段は、端末数の規模及び前記失敗数の分布の偏りをもとに、品質劣化の原因を推定する
請求項1記載の通信品質管理システム。
The network management device
Based on the period communication information and terminal failure information stored in the communication information storage means, comprising failure number distribution evaluation means for evaluating the deviation of the failure number distribution for each mobile terminal,
The communication quality management system according to claim 1, wherein the deterioration cause estimation means estimates the cause of quality deterioration based on a scale of the number of terminals and an uneven distribution of the number of failures.
失敗数分布評価手段は、個々の管理対象端末の失敗回数と通信エリアで生じた通信の失敗の総数の比率を管理端末数の増加に応じて加算した累積比率を算出し、所定の累積比率を上回る最小の管理端末数が当該通信エリアで通信に失敗した端末の総数に対して所定の閾値未満である場合に、失敗数の分布の偏りが大きいと評価し、所定の閾値以上である場合に、失敗数の分布の偏りが小さいと評価する
請求項2記載の通信品質管理システム。
The failure number distribution evaluation means calculates a cumulative ratio obtained by adding the ratio of the number of failures of each managed terminal and the total number of communication failures occurring in the communication area in accordance with the increase in the number of management terminals, and calculates a predetermined cumulative ratio. When the minimum number of management terminals exceeding is less than a predetermined threshold with respect to the total number of terminals that failed to communicate in the communication area, it is evaluated that the deviation in the distribution of the number of failures is large, and is greater than or equal to the predetermined threshold The communication quality management system according to claim 2, wherein it is evaluated that the deviation of the distribution of the number of failures is small.
劣化規模評価手段は、端末失敗率が所定の閾値未満の場合に品質劣化を被る端末数の規模を小規模と判断する
請求項1から請求項3のいずれか1項に記載の通信品質管理システム。
The communication quality management system according to any one of claims 1 to 3, wherein the degradation scale evaluation means determines that the scale of the number of terminals that suffer quality degradation is small when the terminal failure rate is less than a predetermined threshold. .
劣化原因推定手段は劣化規模評価手段が品質劣化を被る端末数の規模を小規模と判断したときに、特定の移動端末の故障または局所的な電波の不感知が品質劣化の原因と推定する
請求項に記載の通信品質管理システム。
The degradation cause estimation means estimates that a failure of a specific mobile terminal or local undetection of radio waves is a cause of quality degradation when the degradation scale evaluation means determines that the number of terminals suffering quality degradation is small. The communication quality management system according to claim 4 .
劣化規模評価手段は、端末失敗率が所定の閾値未満の場合に品質劣化を被る端末数の規模を小規模と判断し、
劣化原因推定手段は劣化規模評価手段が品質劣化を被る端末数の規模を小規模と判断したときであって、失敗数分布評価手段が失敗数の分布の偏りが小さいと評価したときに、前記網側装置の部分故障または局所的な電波の不感知と推定する
請求項2に記載の通信品質管理システム。
The degradation scale evaluation means determines that the scale of the number of terminals that suffer quality degradation when the terminal failure rate is less than a predetermined threshold is small,
The degradation cause estimation means is when the degradation scale evaluation means determines that the scale of the number of terminals suffering quality degradation is small, and when the failure number distribution evaluation means evaluates that the distribution of failure numbers is small, The communication quality management system according to claim 2, wherein the network side device is estimated to be a partial failure or a local undetected radio wave.
網管理装置は、
端末失敗情報をもとに、通信エリアごとの管理対象端末の台数を算出する台数算出手段と、
前記台数を通信検知装置に送信する送信手段を備えた
請求項1から請求項6のいずれか1項に記載の通信品質管理システム。
The network management device
Based on the terminal failure information, the number calculating means for calculating the number of managed terminals for each communication area,
The communication quality management system according to any one of claims 1 to 6, further comprising transmission means for transmitting the number of units to a communication detection device.
台数算出手段は、品質劣化を被る端末数を正確に評価するために必要な個別管理の端末数である品質劣化評価端末数と、失敗数分布の偏りを正確に評価するのに必要な個別管理の端末数である分布評価端末数と、通信検知装置の記憶領域に監視情報を記憶可能な最大端末数とを算出し、前記品質劣化評価端末数、前記分布評価端末数及び前記最大端末数をもとに個別管理の対象とする端末数を算出する
請求項7記載の通信品質管理システム。
The number calculation means is the number of terminals for quality degradation evaluation, which is the number of terminals for individual management necessary for accurately evaluating the number of terminals that suffer quality degradation, and the individual management necessary for accurately assessing the deviation of failure number distribution. Calculating the number of distributed evaluation terminals and the maximum number of terminals that can store monitoring information in the storage area of the communication detection device, and calculating the number of quality degradation evaluation terminals, the number of distribution evaluation terminals, and the maximum number of terminals. The communication quality management system according to claim 7, wherein the number of terminals to be individually managed is calculated based on.
台数算出手段は、過去の観測期間の通信の試行回数、失敗回数、通信に失敗した端末数、個別管理する移動端末ごとの通信の失敗回数をもとに、品質劣化評価端末数及び分布評価端末数を算出する
請求項8記載の通信品質管理システム。
The number calculation means is based on the number of communication attempts in the past observation period, the number of failures, the number of terminals that have failed to communicate, and the number of communication failures for each mobile terminal that is individually managed, The communication quality management system according to claim 8, wherein the number is calculated.
管理対象端末特定手段は、移動端末を管理対象端末として特定したときに、通信エリアごとの管理対象端末が所定の台数を超えている場合に、当該管理対象端末を所定の台数以下に限定する
請求項1から請求項9のいずれか1項に記載の通信品質管理システム。
The management target terminal specifying unit limits the management target terminal to a predetermined number or less when the number of management target terminals for each communication area exceeds a predetermined number when the mobile terminal is specified as the management target terminal. The communication quality management system according to any one of claims 1 to 9.
管理対象端末特定手段は、通信エリアごとの管理対象端末が所定の台数を超えている場合に、通信エリアにおける単位時間あたりの通信の失敗回数が大きい移動端末から優先して選択することにより、管理対象端末を所定の台数以下に限定する
請求項10記載の通信品質管理システム。
The management target terminal specifying unit manages the management by preferentially selecting a mobile terminal having a large number of communication failures per unit time in the communication area when the number of management target terminals for each communication area exceeds a predetermined number. The communication quality management system according to claim 10, wherein the target terminals are limited to a predetermined number or less.
端末失敗率算出手段は、
通信情報記憶手段に期間通信情報として記憶された、通信の試行回数と、通信の失敗回数と、通信に失敗した移動端末の総数をもとに、通信エリア内で通信を行った通信端末数を算出する通信端末数算出手段と、
前記通信に失敗した移動端末の総数と前記通信端末数との比から端末失敗率を算出する失敗率算出手段とを備えた
請求項1から請求項11のいずれか1項に記載の通信品質管理システム。
Terminal failure rate calculation means
Based on the number of communication attempts, the number of communication failures, and the total number of mobile terminals that have failed in communication, stored as communication information storage means in the period communication information, the number of communication terminals that have performed communication within the communication area Means for calculating the number of communication terminals to be calculated;
The communication quality management according to any one of claims 1 to 11, further comprising failure rate calculation means for calculating a terminal failure rate from a ratio between the total number of mobile terminals that have failed in communication and the number of communication terminals. system.
通信端末数算出手段は、同一の移動端末が重複して発生させた通信の失敗の回数を、通信エリアごとの通信の失敗回数から除外することにより、通信エリア内で通信を行った通信端末数を算出する
請求項12に記載の通信品質管理システム。
The number-of-communications-terminal calculating means excludes the number of communication failures generated by the same mobile terminal from the number of communication failures for each communication area, so that the number of communication terminals that have performed communication within the communication area The communication quality management system according to claim 12.
移動体通信網に接続される通信検知装置であって、
通信エリア内の移動端末が所定の期間に行った通信の試行回数と、当該通信の失敗回数と、当該通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、移動端末ごとに通信の失敗に関する情報を含む端末失敗情報とを記憶する通信情報記憶手段と、
通信エリア内の通信の試行及び当該通信の失敗を検出する検出手段と、
前記検出手段が前記通信の試行及び前記通信の失敗を検知したときに、当該通信の試行回数及び通信の失敗回数をもとに期間通信情報を集計して、前記通信情報記憶手段に登録する通信情報登録手段と、
前記検出手段が、前記通信の失敗を検出したときに、当該通信に失敗した移動端末を、通信品質の算出対象とする管理対象端末として特定する管理対象端末特定手段と、
前記管理対象端末特定手段が特定した管理対象端末ごとに前記端末失敗情報を集計して、前記通信情報記憶手段に登録する端末集計情報登録手段を備え
前記通信情報記憶手段は、前記移動体通信網に接続される網管理装置であって、通信エリア内で通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率が所定の閾値以上の場合に、移動端末と通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定する網管理装置によって参照される
ことを特徴とする通信検知装置。
A communication detection device connected to a mobile communication network,
Periodic communication information including the number of communication attempts performed by a mobile terminal in a communication area in a predetermined period, the number of communication failures, and the number of failed terminals indicating the total number of mobile terminals that have failed in the communication, and the mobile terminal Communication information storage means for storing terminal failure information including information on communication failure for each,
A detecting means for detecting a communication attempt in the communication area and a failure of the communication;
When the detecting means detects the communication attempt and the communication failure, the communication information is totaled for the period based on the number of communication attempts and the number of communication failures and registered in the communication information storage means. Information registration means;
When the detection means detects the communication failure, a management target terminal specifying means for specifying a mobile terminal that has failed in the communication as a management target terminal for calculating communication quality;
A terminal total information registration unit that totals the terminal failure information for each management target terminal identified by the management target terminal identification unit and registers the information in the communication information storage unit ;
The communication information storage means is a network management device connected to the mobile communication network, and a terminal failure rate indicating a ratio of the number of terminals that have failed in communication to the number of mobile terminals that have performed communication within a communication area is predetermined. Characterized by being referred to by a network side device that relays communication between a mobile terminal and a communication detection device or a network management device that estimates that a failure of a relay line that relays communication is a cause of quality degradation. Communication detection device.
管理対象端末特定手段は、移動端末を管理対象端末として特定したときに、通信エリアごとの管理対象端末が所定の台数を超えている場合に、当該管理対象端末を所定の台数以下に限定する
請求項14記載の通信検知装置。
The management target terminal specifying unit limits the management target terminal to a predetermined number or less when the number of management target terminals for each communication area exceeds a predetermined number when the mobile terminal is specified as the management target terminal. Item 15. The communication detection device according to Item 14.
管理対象端末特定手段は、通信エリアごとの管理対象端末が所定の台数を超えている場合に、通信エリアにおいて、単位時間あたりの通信の失敗回数が大きい移動端末から優先して選択することにより、管理対象端末を所定の台数以下に限定する
請求項15記載の通信検知装置。
The management target terminal specifying means, when the number of management target terminals for each communication area exceeds a predetermined number, in the communication area, by preferentially selecting from a mobile terminal having a large number of communication failures per unit time, The communication detection device according to claim 15, wherein the number of management target terminals is limited to a predetermined number or less.
移動体通信網に接続され、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、当該通信の失敗回数と、当該通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、通信に失敗した移動端末のうち、通信品質の算出対象として特定した管理対象端末ごとに、通信の失敗に関する情報を集計した端末失敗情報とを記憶する通信検知装置から、当該期間通信情報及び端末失敗情報を受信する網管理装置であって、
前記通信検知装置に記憶された期間通信情報をもとに、通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率を算出する端末失敗率算出手段と、
前記端末失敗情報、及び前記端末失敗率をもとに、品質劣化を被る端末数の規模を評価する劣化規模評価手段と、
前記端末数の規模をもとに、品質劣化の原因を推定する劣化原因推定手段とを備え
前記劣化規模評価手段は、前記端末失敗率が所定の閾値以上の場合に品質劣化を被る端末数の規模を大規模と判断し、
前記劣化原因推定手段は、劣化規模評価手段が品質劣化を被る端末数の規模を大規模と判断したときに、移動端末と前記通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定する
ことを特徴とする網管理装置。
Connected to the mobile communication network, the number of communication attempts performed by the mobile terminals in the communication area during a predetermined period, the number of communication failures, and the number of failed terminals indicating the total number of mobile terminals that failed the communication. From the communication detection device that stores the communication information and the terminal failure information in which the information related to the communication failure is counted for each management target terminal specified as the communication quality calculation target among the mobile terminals that have failed in the communication. A network management device that receives period communication information and terminal failure information,
Based on the period communication information stored in the communication detection device, a terminal failure rate calculating means for calculating a terminal failure rate indicating a ratio of the number of terminals that failed to communicate with the number of mobile terminals that performed communication;
Degradation scale evaluation means for evaluating the scale of the number of terminals that suffer quality degradation based on the terminal failure information and the terminal failure rate;
A deterioration cause estimating means for estimating the cause of quality deterioration based on the scale of the number of terminals ;
The degradation scale evaluation means determines that the scale of the number of terminals that suffer quality degradation when the terminal failure rate is equal to or greater than a predetermined threshold is a large scale,
The degradation cause estimation unit relays a network side device or a communication that relays communication between a mobile terminal and the communication detection device when the degradation scale evaluation unit determines that the number of terminals subjected to quality degradation is large. A network management apparatus characterized in that a failure in a trunk line is estimated to cause quality degradation .
通信検知装置に記憶された期間通信情報及び端末失敗情報をもとに、移動端末ごとの失敗数の分布の偏りを評価する失敗数分布評価手段を備え、
劣化原因推定手段は、端末数の規模及び前記失敗数の分布の偏りをもとに、品質劣化の原因を推定する
請求項17記載の網管理装置。
Based on the period communication information and terminal failure information stored in the communication detection device, comprising failure number distribution evaluation means for evaluating the deviation of the failure number distribution for each mobile terminal,
18. The network management device according to claim 17, wherein the deterioration cause estimation means estimates the cause of quality deterioration based on a scale of the number of terminals and a deviation in the distribution of the number of failures.
失敗数分布評価手段は、個々の管理対象端末の失敗回数と通信エリアで生じた通信の失敗の総数の比率を管理端末数の増加に応じて加算した累積比率を算出し、所定の累積比率を上回る最小の管理端末数が当該通信エリアで通信に失敗した端末の総数に対して所定の閾値未満である場合に、失敗数の分布の偏りが大きいと評価し、所定の閾値以上である場合に、失敗数の分布の偏りが小さいと評価する
請求項18記載の網管理装置。
The failure number distribution evaluation means calculates a cumulative ratio obtained by adding the ratio of the number of failures of each managed terminal and the total number of communication failures occurring in the communication area in accordance with the increase in the number of management terminals, and calculates a predetermined cumulative ratio. When the minimum number of management terminals exceeding is less than a predetermined threshold with respect to the total number of terminals that failed to communicate in the communication area, it is evaluated that the deviation in the distribution of the number of failures is large, and is greater than or equal to the predetermined threshold The network management device according to claim 18, wherein the network management device is evaluated as having a small distribution of failure numbers.
劣化規模評価手段は、端末失敗率が所定の閾値未満の場合に品質劣化を被る端末数の規模を小規模と判断する
請求項17から請求項19のいずれか1項に記載の網管理装置。
The network management device according to any one of claims 17 to 19, wherein the degradation scale evaluation unit determines that the scale of the number of terminals that experience quality degradation is small when the terminal failure rate is less than a predetermined threshold.
劣化原因推定手段は劣化規模評価手段が品質劣化を被る端末数の規模を小規模と判断したときに、特定の移動端末の故障または局所的な電波の不感知が品質劣化の原因と推定する
請求項20に記載の網管理装置。
The degradation cause estimation means estimates that a failure of a specific mobile terminal or local undetection of radio waves is a cause of quality degradation when the degradation scale evaluation means determines that the number of terminals suffering quality degradation is small. The network management device according to claim 20 .
劣化規模評価手段は、端末失敗率が所定の閾値未満の場合に品質劣化を被る端末数の規模を小規模と判断し、
劣化原因推定手段は劣化規模評価手段が品質劣化を被る端末数の規模を小規模と判断したときであって、失敗数分布評価手段が失敗数の分布の偏りが小さいと評価したときに網側装置の部分故障または局所的な電波の不感知と推定する
請求項19に記載の網管理装置。
The degradation scale evaluation means determines that the scale of the number of terminals that suffer quality degradation when the terminal failure rate is less than a predetermined threshold is small,
The degradation cause estimation means is when the degradation scale evaluation means determines that the scale of the number of terminals suffering quality degradation is small, and when the failure number distribution evaluation means evaluates that the distribution of failure numbers is small , The network management device according to claim 19, wherein the network management device estimates a partial failure of the network side device or local undetection of radio waves.
端末失敗情報をもとに、通信エリアごとの管理対象端末の台数を算出する台数算出手段と、
前記台数を通信検知装置に送信する送信手段を備えた
請求項17から請求項22のいずれか1項に記載の網管理装置。
Based on the terminal failure information, the number calculating means for calculating the number of managed terminals for each communication area,
The network management device according to any one of claims 17 to 22, further comprising transmission means for transmitting the number of units to a communication detection device.
台数算出手段は、品質劣化を被る端末数を正確に評価するために必要な個別管理の端末数である品質劣化評価端末数と、失敗数分布の偏りを正確に評価するのに必要な個別管理の端末数である分布評価端末数と、通信検知装置の記憶領域に監視情報を記憶可能な最大端末数とを算出し、前記品質劣化評価端末数、前記分布評価端末数及び前記最大端末数をもとに個別管理の対象とする端末数を算出する
請求項23記載の網管理装置。
The number calculation means is the number of terminals for quality degradation evaluation, which is the number of terminals for individual management necessary for accurately evaluating the number of terminals that suffer quality degradation, and the individual management necessary for accurately assessing the deviation of failure number distribution. Calculating the number of distributed evaluation terminals and the maximum number of terminals that can store monitoring information in the storage area of the communication detection device, and calculating the number of quality degradation evaluation terminals, the number of distribution evaluation terminals, and the maximum number of terminals. The network management device according to claim 23, wherein the number of terminals to be individually managed is calculated based on.
台数算出手段は、過去の観測期間の通信の試行回数、失敗回数、通信に失敗した端末数、個別管理する移動端末ごとの通信の失敗回数をもとに、品質劣化評価端末数及び分布評価端末数を算出する
請求項24記載の網管理装置。
The number calculation means is based on the number of communication attempts in the past observation period, the number of failures, the number of terminals that have failed to communicate, and the number of communication failures for each mobile terminal that is individually managed, The network management device according to claim 24, wherein the number is calculated.
端末失敗率算出手段は、
通信検知装置に期間通信情報として記憶された通信の試行回数と、通信の失敗回数と、通信に失敗した移動端末の総数とから、通信エリア内で通信を行った通信端末数を算出する通信端末数算出手段と、
前記通信に失敗した移動端末の総数と前記通信端末数との比から端末失敗率を算出する失敗率算出手段とを備えた
請求項17から請求項25のいずれか1項に記載の網管理装置。
Terminal failure rate calculation means
A communication terminal that calculates the number of communication terminals that have performed communication in the communication area from the number of communication attempts stored as communication information in the communication detection device, the number of communication failures, and the total number of mobile terminals that have failed to communicate. Number calculating means;
The network management device according to any one of claims 17 to 25, further comprising failure rate calculation means for calculating a terminal failure rate from a ratio between a total number of mobile terminals that have failed in communication and the number of communication terminals. .
通信端末数算出手段は、同一の移動端末が重複して発生させた通信の失敗の回数を、通信エリアごとの通信の失敗回数から除外することにより、通信エリア内で通信を行った通信端末数を算出する
請求項26に記載の網管理装置。
The number-of-communications-terminal calculating means excludes the number of communication failures generated by the same mobile terminal from the number of communication failures for each communication area, so that the number of communication terminals that have performed communication within the communication area The network management device according to claim 26.
通信エリア内の通信の試行及び当該通信の失敗を検出する検出ステップと、
前記検出ステップで通信の失敗を検出したときに、通信に失敗した移動端末を、通信品質の算出対象とする管理対象端末として特定する管理対象端末特定ステップと、
前記管理対象端末特定ステップで特定した管理対象端末ごとに通信の失敗に関する情報を含む端末失敗情報を集計して、通信情報記憶手段に登録する端末集計情報登録ステップと、
前記検出ステップで前記通信の試行及び前記通信の失敗を検知したときに、当該通信の試行回数及び通信の失敗回数をもとに、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、当該通信の失敗回数と、当該通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報を集計して、通信情報記憶手段に登録する通信情報登録ステップと、
前記通信情報記憶手段に記憶された前記期間通信情報をもとに、通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率を算出する端末失敗率算出ステップと、
前記通信情報記憶手段に記憶された前記端末失敗情報、及び前記端末失敗率をもとに、品質劣化を被る端末数の規模を評価する劣化規模評価ステップと、
前記端末数の規模をもとに、品質劣化の原因を推定する劣化原因推定ステップとを含み、
前記劣化規模評価ステップで、前記端末失敗率が所定の閾値以上の場合に品質劣化を被る端末数の規模を大規模と判断し、
前記劣化原因推定ステップで、品質劣化を被る端末数の規模を大規模と判断されたときに、移動端末と通信エリア内の通信を検知する通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定する
ことを特徴とする通信品質管理方法。
A detection step of detecting a communication attempt in the communication area and a failure of the communication;
When a communication failure is detected in the detection step, a management target terminal specifying step for specifying a mobile terminal that has failed in communication as a management target terminal for calculating communication quality;
Terminal aggregation information registration step of totalizing terminal failure information including information regarding communication failure for each management target terminal identified in the management target terminal identification step, and registering in the communication information storage means;
When the detection step detects the communication attempt and the communication failure, the communication attempt performed by the mobile terminal in the communication area during a predetermined period based on the number of communication attempts and the number of communication failures. A communication information registration step of totalizing the period communication information including the number of times, the number of times the communication has failed, and the number of failed terminals indicating the total number of mobile terminals that have failed in the communication, and registering in the communication information storage unit;
Based on the period communication information stored in the communication information storage means, a terminal failure rate calculation step of calculating a terminal failure rate indicating a ratio of the number of terminals that failed to communicate with the number of mobile terminals that performed communication;
Degradation scale evaluation step for evaluating the scale of the number of terminals suffering quality degradation based on the terminal failure information stored in the communication information storage means and the terminal failure rate;
On the basis of the scale of the number of the terminal, only including the deterioration cause estimation step of estimating the cause of quality deterioration,
In the degradation scale evaluation step, when the terminal failure rate is equal to or higher than a predetermined threshold, the scale of the number of terminals that suffer quality degradation is determined to be large,
A network-side device or communication that relays communication between a mobile terminal and a communication detection device that detects communication in the communication area when the deterioration cause estimation step determines that the number of terminals subjected to quality deterioration is large. A communication quality management method characterized in that a failure of a relay line that relays a message is estimated as a cause of quality degradation .
通信情報記憶手段に記憶された期間通信情報及び端末失敗情報をもとに、移動端末ごとの失敗数の分布の偏りを評価する失敗数分布評価ステップを含み、
劣化原因推定ステップで、端末数の規模及び前記失敗数の分布の偏りをもとに、品質劣化の原因を推定する
請求項28記載の通信品質管理方法。
Based on the period communication information and terminal failure information stored in the communication information storage means, including a failure number distribution evaluation step for evaluating the bias of the failure number distribution for each mobile terminal,
The communication quality management method according to claim 28, wherein the cause of quality deterioration is estimated based on a scale of the number of terminals and a distribution of the number of failures in the deterioration cause estimation step.
通信エリア内の通信の試行及び当該通信の失敗を検出する検出ステップと、
前記検出ステップで通信の失敗を検出したときに、通信に失敗した移動端末を、通信品質の算出対象とする管理対象端末として特定する管理対象端末特定ステップと、
前記管理対象端末特定ステップで特定した管理対象端末ごとに通信の失敗に関する情報を含む端末失敗情報を集計して、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、当該通信の失敗回数と、当該通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、移動端末ごとに通信の失敗に関する情報を含む端末失敗情報とを記憶する通信情報記憶手段に登録する端末集計情報登録ステップと、
前記検出ステップで前記通信の試行及び前記通信の失敗を検知したときに、当該通信の試行回数及び通信の失敗回数をもとに、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、当該通信の失敗回数と、当該通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報を集計して、前記通信情報記憶手段に登録する通信情報登録ステップとを含み、
前記通信情報記憶手段は、通信エリア内で通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率が所定の閾値以上の場合に、移動端末と通信エリア内の通信を検知する通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定される際に参照される
ことを特徴とする通信検知方法。
A detection step of detecting a communication attempt in the communication area and a failure of the communication;
When a communication failure is detected in the detection step, a management target terminal specifying step for specifying a mobile terminal that has failed in communication as a management target terminal for calculating communication quality;
The terminal failure information including information related to communication failure is aggregated for each managed terminal identified in the managed terminal identifying step, the number of communication attempts performed by the mobile terminal in the communication area in a predetermined period, and the communication Communication information storage means for storing a period communication information including the number of times of failure and the number of failed terminals indicating the total number of mobile terminals that have failed in the communication, and terminal failure information including information regarding communication failures for each mobile terminal A terminal aggregation information registration step to be registered;
When the detection step detects the communication attempt and the communication failure, the communication attempt performed by the mobile terminal in the communication area during a predetermined period based on the number of communication attempts and the number of communication failures. frequency and a failure count of the communication, by aggregating the period communication information including the number of failures terminal indicating the total number of mobile terminal fails in the communication, including a communication information registration step of registering the communication information storage unit See
The communication information storage means communicates with the mobile terminal in the communication area when a terminal failure rate indicating a ratio of the number of terminals that have failed in communication to the number of mobile terminals that have performed communication within the communication area is equal to or greater than a predetermined threshold. A communication detection method that is referred to when a failure of a network side device that relays communication with a communication detection device to be detected or a failure of a relay line that relays communication is estimated to be a cause of quality degradation .
管理対象端末特定ステップで、移動端末を管理対象端末として特定したときに、通信エリアごとの管理対象端末が所定の台数を超えている場合に、当該管理対象端末を所定の台数以下に限定する
請求項30記載の通信検知方法。
When the mobile terminal is specified as a management target terminal in the management target terminal specifying step, if the number of management target terminals for each communication area exceeds a predetermined number, the management target terminal is limited to a predetermined number or less. Item 30. The communication detection method according to Item 30.
通信エリア内の移動端末が所定の期間に行った通信の試行回数と、当該通信の失敗回数と、当該通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報をもとに、通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率を算出する端末失敗率算出ステップと、
通信に失敗した移動端末のうち、通信品質の算出対象として特定した管理対象端末ごとに、通信の失敗に関する情報を集計した端末失敗情報、及び前記端末失敗率をもとに、品質劣化を被る端末数の規模を評価する劣化規模評価ステップと、
前記端末数の規模をもとに、品質劣化の原因を推定する劣化原因推定ステップとを含み、
前記劣化規模評価ステップで、前記端末失敗率が所定の閾値以上の場合に品質劣化を被る端末数の規模を大規模と判断し、
前記劣化原因推定ステップで、品質劣化を被る端末数の規模を大規模と判断されたときに、移動端末と通信エリア内の通信を検知する通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定する
ことを特徴とする網管理方法。
Based on the period communication information including the number of communication attempts performed by the mobile terminals in the communication area in a predetermined period, the number of communication failures, and the number of failed terminals indicating the total number of mobile terminals that failed the communication. A terminal failure rate calculating step for calculating a terminal failure rate indicating a ratio of the number of terminals that failed to communicate with the number of mobile terminals that performed communication;
Among the mobile terminals that have failed in communication, for each management target terminal that is specified as a communication quality calculation target, the terminal that suffers quality degradation based on the terminal failure information that totals information related to communication failure and the terminal failure rate A degradation scale assessment step for assessing the scale of the number;
On the basis of the scale of the number of the terminal, only including the deterioration cause estimation step of estimating the cause of quality deterioration,
In the degradation scale evaluation step, when the terminal failure rate is equal to or higher than a predetermined threshold, the scale of the number of terminals that suffer quality degradation is determined to be large,
A network-side device or communication that relays communication between a mobile terminal and a communication detection device that detects communication in the communication area when the deterioration cause estimation step determines that the number of terminals subjected to quality deterioration is large. A network management method characterized in that it is estimated that a failure of a relay line that relays a cause of quality degradation .
期間通信情報及び端末失敗情報をもとに、移動端末ごとの失敗数の分布の偏りを評価する失敗数分布評価ステップを含み、
劣化原因推定ステップで、端末数の規模及び前記失敗数の分布の偏りをもとに、品質劣化の原因を推定する
請求項32記載の網管理方法。
Based on the period communication information and terminal failure information, including a failure number distribution evaluation step for evaluating the bias of the failure number distribution for each mobile terminal,
33. The network management method according to claim 32, wherein the cause of quality deterioration is estimated based on a size of the number of terminals and an uneven distribution of the number of failures in the deterioration cause estimation step.
移動体通信網に接続されるコンピュータに搭載される通信検知プログラムであって、
前記コンピュータに、
通信エリア内の通信の試行及び当該通信の失敗を検出する検出処理、
前記検出処理で、前記通信の失敗を検出したときに、当該通信に失敗した移動端末を、通信品質の算出対象とする管理対象端末として特定する管理対象端末特定処理、
通信エリア内の移動端末が所定の期間に行った通信の試行回数と、当該通信の失敗回数と、当該通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、移動端末ごとに通信の失敗に関する情報を含む端末失敗情報とを記憶する通信情報記憶手段に、前記管理対象端末特定処理で特定した管理対象端末ごとに前記端末失敗情報を集計して登録する端末集計情報登録処理、および、
前記検出処理で前記通信の試行及び前記通信の失敗を検知したときに、当該通信の試行回数及び通信の失敗回数をもとに期間通信情報を集計して、前記通信情報記憶手段に登録する通信情報登録処理を実行させ
前記通信情報記憶手段は、通信エリア内で通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率が所定の閾値以上の場合に、移動端末と通信エリア内の通信を検知する通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定される際に参照される
ことを特徴とする通信検知プログラム。
A communication detection program mounted on a computer connected to a mobile communication network,
In the computer,
A detection process for detecting a communication attempt in the communication area and a failure of the communication;
In the detection process, when the communication failure is detected, a management target terminal specifying process for specifying a mobile terminal that has failed in the communication as a management target terminal to be a communication quality calculation target;
Periodic communication information including the number of communication attempts performed by a mobile terminal in a communication area in a predetermined period, the number of communication failures, and the number of failed terminals indicating the total number of mobile terminals that have failed in the communication, and the mobile terminal Terminal total information registration for totaling and registering the terminal failure information for each managed terminal identified in the managed terminal identification process in the communication information storage means for storing terminal failure information including information regarding communication failure for each Processing and
Communication that aggregates period communication information based on the number of communication attempts and the number of communication failures when it detects the communication attempt and the communication failure in the detection process, and registers the communication information in the communication information storage unit Run the information registration process ,
The communication information storage means communicates with the mobile terminal in the communication area when a terminal failure rate indicating a ratio of the number of terminals that have failed in communication to the number of mobile terminals that have performed communication within the communication area is equal to or greater than a predetermined threshold. Referenced when the failure of the network side device that relays communication with the communication detection device to be detected or the failure of the relay line that relays communication is estimated to be the cause of quality degradation
A communication detection program characterized by that .
コンピュータに、
管理対象端末特定処理で、移動端末を管理対象端末として特定したときに、通信エリアごとの管理対象端末が所定の台数を超えている場合に、当該管理対象端末を所定の台数以下に限定させる
請求項34記載の通信検知プログラム。
On the computer,
When a mobile terminal is specified as a management target terminal in the management target terminal specifying process, if the number of management target terminals for each communication area exceeds a predetermined number, the management target terminal is limited to a predetermined number or less. Item 35. The communication detection program according to Item 34.
移動体通信網に接続され、通信エリア内の移動端末が所定の期間に行った通信の試行回数と、当該通信の失敗回数と、当該通信に失敗した移動端末の総数を示す失敗端末数とを含む期間通信情報と、通信に失敗した移動端末のうち、通信品質の算出対象として特定した管理対象端末ごとに、通信の失敗に関する情報を集計した端末失敗情報とを記憶する通信検知装置から、当該期間通信情報及び端末失敗情報を受信するコンピュータに搭載される網管理プログラムであって、
前記コンピュータに、
前記期間通信情報をもとに、通信を行った移動端末数に対する通信に失敗した端末数の割合を示す端末失敗率を算出する端末失敗率算出処理、
前記端末失敗情報、及び前記端末失敗率をもとに、品質劣化を被る端末数の規模を評価する劣化規模評価処理、および、
前記端末数の規模をもとに、品質劣化の原因を推定する劣化原因推定処理を実行させ
前記劣化規模評価処理で、前記端末失敗率が所定の閾値以上の場合に品質劣化を被る端末数の規模を大規模と判断させ、
前記劣化原因推定処理で、品質劣化を被る端末数の規模を大規模と判断されたときに、移動端末と前記通信検知装置との通信を中継する網側装置または通信を中継する中継回線の故障が品質劣化の原因と推定させる
ための網管理プログラム。
Connected to the mobile communication network, the number of communication attempts performed by the mobile terminals in the communication area during a predetermined period, the number of communication failures, and the number of failed terminals indicating the total number of mobile terminals that failed the communication. From the communication detection device that stores the communication information and the terminal failure information in which the information related to the communication failure is counted for each management target terminal specified as the communication quality calculation target among the mobile terminals that have failed in the communication. A network management program installed in a computer that receives period communication information and terminal failure information,
In the computer,
Based on the period communication information, a terminal failure rate calculation process for calculating a terminal failure rate indicating a ratio of the number of terminals that failed to communicate with the number of mobile terminals that performed communication,
Based on the terminal failure information and the terminal failure rate, a degradation scale evaluation process for evaluating the scale of the number of terminals that suffer quality degradation, and
Based on the scale of the number of terminals, the cause of quality degradation is estimated to be executed ,
In the degradation scale evaluation process, when the terminal failure rate is equal to or greater than a predetermined threshold, the scale of the number of terminals that suffers quality degradation is determined to be large,
A failure of the network side device that relays communication between the mobile terminal and the communication detection device or the failure of the relay line that relays communication when the scale of the number of terminals that suffer quality degradation is determined to be large in the deterioration cause estimation process Is a network management program that makes it possible to estimate the cause of quality degradation .
コンピュータに、
通信検知装置に記憶された期間通信情報及び端末失敗情報をもとに、移動端末ごとの失敗数の分布の偏りを評価する失敗数分布評価処理を実行させ、
劣化原因推定処理で、端末数の規模及び前記失敗数の分布の偏りをもとに、品質劣化の原因を推定させる
請求項36記載の網管理プログラム。
On the computer,
Based on the period communication information and terminal failure information stored in the communication detection device, to perform a failure number distribution evaluation process to evaluate the distribution of failure number distribution for each mobile terminal,
37. The network management program according to claim 36, wherein the cause of quality deterioration is estimated based on the size of the number of terminals and the distribution of the number of failures in the cause of deterioration estimation process.
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