JP2017208717A - Analysis system for radio communication network - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a technique that detects a cell with low communication quality by using information obtained from a radio base station and further identifies or estimates causes of low quality.SOLUTION: An analysis system obtains statistical information on a communication quality index of a radio base station and a call log related to connection of the radio base station, detects a low quality cell using the statistical information, and identifies low quality causes of the low quality cell by using any one or both of the statistical information and the call log.SELECTED DRAWING: Figure 1

Description

  The disclosed subject matter relates to communication network quality analysis techniques.

  With the spread of smartphones, the importance of wireless communication networks is increasing. Services performed using a wireless communication network are greatly affected by the communication quality of the wireless communication network. For example, when a transfer speed is reduced or a connection is cut off in a wireless communication network and a real-time moving image is transferred through the wireless communication network, there is a possibility that a smooth moving image cannot be displayed.

  In order to obtain high communication quality of a wireless communication network, Patent Document 1 discloses a method for determining a temporary position of an area where wireless coverage is insufficient in a cellular communication system.

U.S. Pat. No. 8,229,417

  In order to improve the communication quality of a wireless communication network, it is necessary to collect and analyze information related to communication quality. For example, it is necessary to detect a low communication quality index, collect detailed information by a running test using a vehicle equipped with a user terminal, and analyze the collected information in an area where the communication quality is low. is there.

  According to Patent Document 1, the provisional position of an area where radio coverage is insufficient is determined by detecting an accidental loss of connection with a terminal and recording information regarding the position for such detection. The However, in order to improve the communication quality of a wireless communication network, information related to communication quality is collected, and the collected information is analyzed to detect that communication quality is low. Need to be identified or estimated. Further, the communication quality of the wireless communication network is not impaired only by the loss of connection.

  For this reason, there is a need for a technique for detecting low communication quality based on various communication quality indicators and further identifying or estimating a factor of low communication quality.

  Disclosed is a method for detecting a cell with low communication quality using information obtained from a radio base station, and further identifying or estimating a factor of low quality, and an apparatus or system using the method.

  A typical example of the disclosed invention is as follows. That is, an analysis system that obtains statistical information related to a communication quality index of a wireless base station and a call log related to a call or connection of the wireless base station, and uses the statistical information to provide low quality communication with low communication quality. It is an analysis system characterized by detecting a cell and identifying a low quality factor of a low quality cell using one or both of statistical information and a call log.

  In addition, the analysis system may be configured such that acquisition of a call log is performed for a detected low quality cell after detection of the low quality cell.

  Further, the analysis system may be configured to calculate a statistical value of a communication quality index using statistical information and detect a low quality cell using the statistical value.

  The analysis system may be configured to determine a communication quality improvement method based on a low quality factor.

  Further, the analysis system may be configured to receive designation of a region or a base station and output low quality cell information in the designated region or of the designated base station.

  According to the disclosure, it is possible to provide an analysis system capable of detecting that the communication quality of the wireless communication network is low and identifying a factor of the low communication quality, which contributes to improvement of the communication quality of the wireless communication network.

  The details of at least one implementation of the subject matter disclosed in this specification are set forth in the accompanying drawings and the description below. Other features, aspects, and advantages of the disclosed subject matter will become apparent from the following disclosure, drawings, and claims.

It is a figure which illustrates the structure of the radio | wireless communication network system of Example 1, and an analysis system. It is a sequence diagram for demonstrating an example of the procedure in which the analysis system of Example 1 detects a low quality cell, specifies a low quality factor, and determines the improvement method. 3 is an example of a statistical information table according to the first embodiment. It is an example of the aggregated statistical information table of the first embodiment. It is an example of the flowchart explaining the low quality cell detection process of Example 1. FIG. It is an example of the low quality cell information table of Example 1. It is a figure which shows an example of the low quality cell display screen of Example 1. FIG. It is an example of the analysis object cell information table of Example 1. 3 is an example of a call log table according to the first embodiment. 4 is an example of an aggregated call log table according to the first embodiment. It is a table | surface which shows the example of the communication quality parameter | index of Example 1, a low quality factor, and the communication quality improvement method. It is an example of the low quality factor and improvement method information table of Example 1. It is a sequence diagram for demonstrating an example of the procedure in which the analysis system of Example 2 detects a low quality cell, specifies a low quality factor, and determines the improvement method. It is a figure which shows an example of the low quality cell display screen of Example 2. FIG. It is an example of the monitoring object cell information table of Example 2. It is a sequence diagram for demonstrating an example of the procedure in which the analysis system of Example 3 performs a detection of a low quality cell, specification of a low quality factor, and determination of the improvement method. It is a figure which shows an example of the low quality cell display screen of Example 3. FIG. It is an example of the monitoring object cell information table of Example 3. It is an example of the flowchart explaining the low quality cell detection process of Example 3. It is an example of the low quality cell information table of Example 3. It is a figure which shows an example of the display screen of the low quality cell detected in the some monitoring mode, and is a figure which shows an example of the low quality cell display screen when a monitoring area is narrow. It is a figure which shows an example of the low quality cell display screen in case a monitoring area is a wide area. It is a figure which shows an example of the low quality cell display screen in case a monitoring area is medium size. It is a figure for illustrating transition between the forms of a plurality of display screens. It is a figure which illustrates the structure of the analysis system of Example 4. FIG. 10 is a sequence diagram for explaining an example of a procedure in which the analysis system of the fourth embodiment performs detection of a low quality cell, identification of a low quality factor, and determination of an improvement method. It is an example of the block diagram of the base station information storage server of each Example. It is an example of the block diagram of the analysis server of each Example. It is an example of the block diagram of the analysis result storage server of each Example.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

  In the following embodiment, when necessary for the sake of convenience, the description will be divided into a plurality of sections or embodiments. However, unless otherwise specified, they are not irrelevant to each other. Is a modification of some or all of the other, or details, supplementary explanations, and the like.

  Further, in the following embodiments, when referring to the number of elements (including the number, numerical value, quantity, range, etc.), particularly when clearly indicated and when clearly limited to a specific number in principle, etc. Except, it is not limited to the specific number, and it may be more or less than the specific number.

  Further, in the following embodiments, the constituent elements (including element steps) are not necessarily essential unless explicitly stated or considered to be clearly essential in principle. Needless to say.

  In the following embodiments, LTE (Long Term Evolution) standardized by 3GPP (3rd Generation Partnership Project) is targeted as an example of a wireless communication standard. The present invention can also be applied to other communication standards.

  In this embodiment, a cell with low communication quality (referred to as a low quality cell) is detected based on statistical information, and a low quality factor of the selected cell is identified based on statistical information or a call log. 1 shows an example of an analysis system for determining how to improve quality.

  FIG. 1 is a diagram illustrating a configuration of a wireless communication network system and an analysis system according to the present embodiment. The wireless communication network system 101 includes a user terminal (User Equipment) 102, a wireless base station 103 (eNodeB) 103, a network 104, a core network (Evolved Packet Core) 105, and a base station management server 106.

  The user terminal 102 is wirelessly connected to a cell included in the wireless base station 103 and further connected to the core network 105 via the network 104. Each radio base station 103 has one or a plurality of cells. The radio base station 103 is connected to the base station management server 106 via the network 104. The base station management server 106 manages each radio base station 103 and cell, and retains base station and cell statistical information and a call log.

  The call log is a log for each connection (or call). When the user terminal 102 connects to the cell and then terminates the connection due to handover, radio link disconnection, transition to an idle state, the radio base station 103. And transmitted to the base station management server 106. The statistical information is statistical information of a target period related to the communication quality index. The statistical information is created by each radio base station 103 and transmitted to the base station management server 106, or is created by the base station management server 106 based on information received from each radio base station 103.

  The analysis system 111 includes a base station information accumulation server 112, an analysis server 113, an analysis result accumulation server 114, and a client 115.

  The base station information accumulation server 112 stores statistical information and call logs acquired from the base station management server 106. The analysis server 113 detects a cell with low communication quality, that is, a low quality cell, specifies a factor with low communication quality, and determines a communication quality improvement method. The analysis result accumulation server 114 stores analysis results including low quality cell information, low quality factors, and communication quality improvement methods. The client 115 outputs an analysis result in a form such as screen display or file creation, and accepts an input related to analysis such as selection of an analysis target in a form such as an operator's operation.

  FIG. 27 is an example of a configuration diagram of the base station information storage server 112. Each function of the base station information storage server 112 is stored in the form of program software in a secondary storage device of a general computer, expanded on the memory, and executed by the CPU. The base station information storage server 112 communicates with the base station management server 106 and the analysis server 113 via a network interface.

  The memory of the base station information accumulation server 112 stores a statistical information aggregation processing program 2701 and a call log aggregation processing program 2702. Further, the memory of the base station information accumulation server 112 stores a statistical information table 301, an aggregated statistical information table 401, an analysis target cell information table 801, a call log table 901, and an aggregated call log table 1001.

  FIG. 28 is an example of a configuration diagram of the analysis server 113. Each function of the analysis server 113 is stored in the form of program software in a secondary storage device of a general computer, expanded on the memory, and executed by the CPU. The analysis server 113 communicates with the base station information accumulation server 112, the analysis result accumulation server 114, and the client 115 via a network interface.

  The memory of the analysis server 113 stores a low quality cell detection processing program 2801 and a factor identification and improvement method determination processing program 2802. Further, the memory of the analysis server 113 includes an aggregated statistical information table 401, a low quality cell information table 601 or 2001 (Example 3), an analysis target cell information table 801, an aggregated call log table 1001, a low quality factor, and an improvement. The method information table 1201 and the monitoring target cell information tables 1501 and 1801 used in the second and third embodiments are stored.

  FIG. 29 is an example of a configuration diagram of the analysis result storage server 114. Each function of the analysis result storage server 114 is stored in the form of program software in a secondary storage device of a general computer, and is expanded on the memory and executed by the CPU. The analysis result storage server 114 communicates with the analysis server 113 and the client 115 via a network interface.

  The memory of the analysis result accumulation server 114 stores a low quality cell information table 601 or 2001 (Example 3) and a low quality factor and improvement method information table 1201.

  The client 115 is also a computer having a CPU, a memory, a secondary storage device, a peripheral device interface such as a communication or storage medium, a user interface, and the like, and the CPU executes a program stored in the memory. The following functions are realized.

  Each program and each table may be stored in a memory in advance, or may be introduced from another device via the network interface or the peripheral device interface as necessary.

  When there are tables having the same name and number in a plurality of server apparatuses, the contents of those tables are the same.

  In the present embodiment, the configuration in which the analysis system 111 includes each of the above devices and has the above functions is illustrated. However, the analysis system 111 may have a device configuration different from the above. For example, a function performed by a plurality of devices in the analysis system 111 may be configured by a single device, or a function performed by a single device in the analysis system 111 may be performed by a plurality of devices. It may be configured to fulfill. Moreover, you may give the function which the component apparatus of the analysis system 111 has to another component apparatus.

  In this embodiment, the configuration in which the statistical information and the call log are input from the base station management server 106 to the analysis system 111 is exemplified. However, another device may be interposed between the base station management server 106 and the analysis system 111. Alternatively, statistical information and a call log may be input to the analysis system 111 via a storage medium.

  The outline of the characteristics of the analysis system 111 of this embodiment will be briefly described as follows. That is, the analysis system 111 detects a low quality cell based on the statistical information, identifies a low quality factor based on one or both of the statistical information and the call log for the cell selected from the low quality cell, Decide how to improve communication quality.

  A procedure in which the analysis system 111 detects a low quality cell, specifies a low quality factor, and determines an improvement method will be described with reference to FIG. FIG. 2 is a sequence diagram for explaining a procedure in which the analysis system 111 of this embodiment performs detection of a low quality cell, identification of a low quality factor, and determination of an improvement method.

  The analysis server 113 requests statistical information from the base station management server 106 via the base station information storage server 112 (211). Receiving the request, the base station management server 106 transmits statistical information to the base station information storage server 112 (212). The base station information accumulation server 112 that has received the statistical information performs statistical information aggregation processing (213) and stores the statistical information (214). Thereafter, the base station information accumulation server 112 transmits the aggregated statistical information to the analysis server 113 (215).

  The request for statistical information is repeated, for example, every 24 hours. Note that the base station management server 106 may voluntarily transmit statistical information to the base station information storage server 112, and in this case, no request for statistical information is required. Further, the base station information accumulation server 112 may request statistical information repeatedly, for example, periodically. In this case, the statistical information request from the analysis server 113 to the base station information accumulation server 112 is not necessary. .

  An example of statistical information aggregation processing executed by the base station information storage server 112 by the statistical information aggregation processing program 2701 will be described with reference to FIGS. 3 and 4.

  FIG. 3 is an example of the statistical information table 301 that the base station management server 106 transmits to the base station information accumulation server 112. The statistical information table 301 includes information related to cell identifiers, a target period of statistical values, and a communication quality index used as statistical information. In FIG. 3, as examples of communication quality indicators, the number of connection and handover attempts and the number of successes (or the number of failures), the number of disconnections, the number of connected users, the usage rate of radio resources (Physical Resource Block), the throughput in the IP layer ( (Hereinafter referred to as IP throughput). As a more specific example, the IP throughput may be a scheduled IP throughput defined as a statistical item in the LTE (registered trademark) standard (Scheduled IP Throughput).

  FIG. 4 is an example of the aggregated statistical information table 401 transmitted from the base station information accumulation server 112 to the analysis server 113. The aggregated statistical information table 401 includes cell identifiers, an aggregated statistical value target period, communication quality index used as statistical information, and parameter information. In the example of FIG. 4, the communication quality index is a connection rate, a disconnection rate, a handover success rate, a radio resource usage rate, and a scheduled IP throughput. The base station information storage server 112 calculates the connection rate and the handover success rate based on the number of trials and the number of successes in the statistical information table 301. Further, the disconnection rate is calculated by the base station information storage server 112 based on the number of connected users and the number of disconnections in the statistical information table 301. The parameters corresponding to the connection rate and the handover success rate are the number of connection and handover trials, respectively. The parameter corresponding to the disconnection rate, the radio resource usage rate, and the scheduled IP throughput is the number of connected users.

  In the present embodiment, the above-described communication quality index is mentioned, but other communication quality index may be used. Further, the communication quality index may be subdivided, and for example, handover may be classified into intra-frequency handover, inter-frequency handover, and RAN (Radio Access Network) handover.

  Note that the base station information accumulation server 112 may aggregate the long-term statistical information and create the statistical information table 301. 3 and FIG. 4, the base station information accumulation server 112 aggregates statistical information every 15 minutes and creates an aggregated statistical information table 401 every hour.

  The analysis server 113 performs low quality cell detection processing (216 in FIG. 2).

  A method in which the analysis server 113 detects a low-quality cell by the low-quality cell detection processing program 2801 and creates the low-quality cell information table 601 as a result will be described with reference to FIGS.

  FIG. 5 is a diagram for explaining a procedure for performing low quality cell detection processing using the statistical information aggregated every hour for seven days. The analysis server 113 performs low quality cell detection processing for each cell and for each communication quality index. First, the analysis server 113 initializes the low quality days count n and the low quality time count m (501, 502). Next, the analysis server 113 determines whether the statistical value for each hour is bad, that is, whether the communication quality is low and the parameter corresponding to the communication quality index is greater than or equal to the threshold (503).

  Regarding the connection rate, handover success rate, and scheduled IP throughput, it is assumed that the communication quality per hour is low when the communication quality index is less than the threshold. Regarding the disconnection rate and the radio resource usage rate, it is assumed that the communication quality per hour is low when the communication quality index is greater than or equal to the threshold. Under the condition that the parameter corresponding to the communication quality index is greater than or equal to the threshold value in step 503, it is possible to eliminate the influence of a time zone in which the number of connected users is extremely small, such as midnight.

  When the communication quality per hour is low and the parameter corresponding to the communication quality index is equal to or greater than the threshold (Yes in 503), the low quality time count m is increased by 1 (504). This is performed on the statistical information aggregated every hour for 24 hours. As a result, when the low quality time count m is equal to or greater than the threshold (Yes in 505), the analysis server 113 increments the low quality days count n by 1 (506), and the 24 hours are set as the low quality day. It is recorded in the cell information table 601 (507). These are performed on the statistical information aggregated every hour for 7 days. The analysis server 113 records the low quality days (n) for 7 days in the low quality cell information table 601 (508).

  If the low quality days count n is equal to or greater than the threshold (Yes in 509), it is determined that the target communication quality index is low quality in the target cell, and the low quality flag is recorded as True in the low quality cell information table 601. (510). When the low quality days count n is less than the threshold (No in 509), it is determined that the target communication quality index is not low quality in the target cell, and the low quality flag is recorded as False in the low quality cell information table 601. (511).

  In this way, by performing low-quality cell detection processing using information for a long period of time such as 7 days, a unique tendency occurs when access from many users is concentrated on one cell on the event date. It is possible to suppress the influence of the day showing. However, the information used for the low quality cell detection process is not limited to seven days.

  The analysis server 113 repeatedly performs low-quality cell detection processing, for example, periodically. For example, it may be performed in a 7-day cycle or a 24-hour cycle.

  FIG. 6 is an example of the low quality cell information table 601 created by the analysis server 113 based on the method of FIG. The analysis server 113 creates a low quality cell information table 601 for each cell. In FIG. 6, the low quality cell information table 601 includes a cell identifier, a target period of low quality cell information, a low quality flag of each communication quality index, a low quality day, and a low quality date. The analysis server 113 inputs the low quality flag of each communication quality index in FIG. 6 in step 510 or 511 in FIG. 5, the low quality days in step 508, and the low quality days in step 507.

  The analysis server 113 transmits the low quality cell information to the analysis result storage server 114 (217 in FIG. 2). The analysis result accumulation server 114 stores the low quality cell information (218 in FIG. 2) and transmits the low quality cell information to the client 115 (219 in FIG. 2). The client 115 receiving the low quality cell information outputs the low quality cell (220 in FIG. 2).

  An example in which the client 115 outputs a low quality cell on the screen will be described with reference to FIG. FIG. 7 is an example of output of a low-quality cell that the client 115 of this embodiment outputs as a screen display. The screen display content may be created by the program stored in the client 115 based on the low quality cell information, or the program not shown in FIG. It may be transmitted as information.

  In FIG. 7, a map 701 displays the position of each radio base station 103 and whether each cell is a low quality cell. Whether or not the cell is a low quality cell is determined based on the low quality cell information table 601. For example, for at least one communication quality index, a cell whose low quality flag in the low quality cell information table 601 indicates that it is of low quality (True) is determined to be a low quality cell. In the example of FIG. 7, each cell is expressed in two stages, ie, whether or not the quality is low, but may be expressed in three or more stages.

  The cell list 702 displays a list of low quality cells in the example of FIG. The cell list 702 may display both low quality cells and cells that are not (normal cells). The cell list 702 includes information such as a cell identifier, information about whether or not the cell is a low quality cell, and whether or not each communication quality index is low quality (the low quality flag in the low quality cell information table 601 is True). It is determined whether or not the cell is a low quality cell, but the analysis status column of a cell that is not selected as an analysis target of the low quality factor is “unselected”. The low quality factors, improvement methods, and selection fields included in the cell list 702 will be described later. In the cell list 702 of FIG. 7, the connection rate and the disconnection rate are displayed as examples of the communication quality index, but the cell list 702 may display any communication quality index.

  The cell list 702 may display cells with lower communication quality at the top. The low communication quality is determined by, for example, the number of low quality days in the low quality cell information table 601. Alternatively, a priority may be given to the communication quality index in advance, and a cell having a lower communication quality index with a higher priority may have a lower communication quality.

  In the cell list 702, only some low quality cells may be displayed. For example, the cell list 702 may display a certain number of cells having the lowest communication quality.

  The client 115 may select a cell to be displayed in the cell list 702 according to the map 701. For example, the cell list 702 displays low quality cells within the display range of the map 701. Furthermore, when the display range of the map 701 is changed by scrolling, enlargement, reduction, or the like, the low-quality cells displayed in the cell list 702 may be changed according to the changed map display range.

  The cell list 702 may include cells that cannot be selected as analysis targets. A cell that cannot be selected as an analysis target is a cell that satisfies special conditions such as having a repeater (wireless repeater) under control. In the cell list 702, the analysis status column of a cell that cannot be selected as an analysis target is “not subject”.

  Next, a target cell for analyzing the low quality factor is selected (221 in FIG. 2). With reference to FIG. 7, a procedure for the operator to select an analysis target cell will be described. When the operator selects a cell in the selection list of the cell list 702 and presses the analysis button 703, the analysis target cell is selected. The analysis status column of the selected analysis target cell is “under analysis”.

  Thereafter, the analysis target cell information is transmitted to the base station information storage server 112 via the analysis server 113 and the base station information storage server 112 (222 in FIG. 2).

  FIG. 8 is an example of the analysis target cell information table 801. The analysis target cell information table 801 includes a cell identifier and an analysis target period. The analysis target period may be a target period in the low-quality cell detection process 216, or may be a part of the period.

  The analysis target period is designated to the analysis server 113 by the operator of the analysis system 111 using the management screen of the client 115.

  In the example of FIG. 8, one day is selected as the analysis target period in the target period (seven days) in the low quality cell detection process 216. A part of the target period may be selected according to a predetermined condition. For example, one of the low quality days or the most recent day may be selected as the analysis target period. Alternatively, the day with the lowest low quality time among the low quality days may be selected as the analysis target period. In this case, the low quality cell information table 601 has a low quality time or the lowest quality time for each day. Need to include day information.

  Further, in the example of FIG. 8, a single analysis target period is specified, but an analysis target period may be specified for each communication quality index. Note that the analysis server 113 may select the analysis target period.

  Receiving the analysis target cell information, the base station management server 106 transmits the call log of the analysis target cell to the base station information storage server 112 (223 in FIG. 2). In addition to the call log of the analysis target cell, the base station management server 106 may transmit a call log of a cell other than the analysis target cell, for example, a cell adjacent to the analysis target cell, to the base station information accumulation server 112, or The call log of another cell of the radio base station 103 to which the analysis target cell belongs may be transmitted to the base station information storage server 112.

  In this way, by limiting the call log acquired by the analysis system 111 to the analysis target cell, its neighboring cells, or other cells of the radio base station 103 to which the analysis target cell belongs, the data volume of the call log to be acquired And the processing load on the base station information storage server 112 can be reduced.

  FIG. 9 is an example of the call log table 901 for each connection (or call). In the example of FIG. 9, the call log table 901 includes a user terminal identifier, a cell identifier, a connection start time, a connection end time, a connection end reason, a wireless section round-trip delay, and a reference signal received power RSRP (Reference Signal Received Power). RSRQ (Reference Sine Received Quality) that is the reception quality of the reference signal.

  The base station information storage server 112 that has received the call log performs call log aggregation processing (224 in FIG. 2). In the call log aggregation process, the base station information accumulation server 112 creates a call log aggregated for each cell based on the call log that is a log for each connection (or call).

The call log aggregation processing executed by the call log aggregation processing program 2702 of the base station information accumulation server 112 will be described with reference to FIG.

  FIG. 10 is an example of the aggregated call log table 1001. The aggregated call log table 1001 in FIG. 10 is created for each cell and for each target distance section. This distance refers to the distance between the radio base station 103 and the user terminal 102, and is calculated from the round trip delay of the radio section included in the call log. The target distance section is a distance range such as 0 m to 100 m, or 1000 m to 2000 m. The base station information accumulation server 112 targets the call log whose distance calculated from the round trip delay of the wireless section included in the call log corresponds to the target distance section (500 m to 600 m in the example of FIG. 10) for each target distance section. An aggregated call log table 1001 is created.

  In FIG. 10, the aggregated call log table 1001 includes a cell identifier, a target period, a target distance classification, a number of call logs, a number of call logs with normal connection termination reasons, a number of call logs with abnormal connection termination reasons, and RSRP. Includes representative values and RSRQ representative values. The normal connection termination reason indicates that the connection termination reason included in the call log table 901 is normal, such as a successful handover or a transition to an idle state associated with the deactivation of the user terminal 102. An abnormal connection termination reason indicates that the connection termination reason included in the call log table 901 is abnormal such as a handover failure or a radio link disconnection. The RSRP representative value and the RSRQ representative value are statistical values of RSRP and RSRQ included in the call log table 901, respectively.

  The statistical value is, for example, an average value, a maximum value, a minimum value, a median value, or a percentile. The base station information accumulation server 112 may calculate the RSRP representative value and the RSRQ representative value using all the call logs corresponding to the target distance category, or some of the call logs, for example, the connection termination reason is abnormal. The RSRP representative value and the RSRQ representative value may be calculated using the call log.

  The base station information accumulation server 112 transmits the aggregated call log to the analysis server 113 (225 in FIG. 2). The analysis server 113 uses either or both of the aggregated statistical information and the aggregated call log to identify a low quality factor and determine a communication quality improvement method according to a predetermined algorithm (FIG. 2). 226).

  An example of low quality factor identification and communication quality improvement method determination performed by the analysis server 113 using the factor identification and improvement method determination processing program 2802 will be described with reference to FIG.

  FIG. 11 shows an example of a predetermined communication quality index of low quality, its factor, and improvement method.

  As described in step 226 of FIG. 2, the analysis server 113 selects any one of the predefined low quality factors according to the contents shown in FIG. 11 for the communication quality index of low quality. Furthermore, the analysis server 113 selects one of the improvement methods defined in advance for the low quality factor. In FIG. 11, when any of the low quality factors cannot be selected, the low quality factor is set to “other”.

  Further, in FIG. 11, when any improvement method cannot be selected, the improvement method is “other”. If the improvement method is “Others”, do not implement any improvement method, or notify the worker so that the worker himself performs the analysis work to identify the low quality factor and examine the improvement method. Enable.

  FIG. 12 is an example of the low quality factor and improvement method information table 1201 created by the analysis server 113. The low quality factor and improvement method information table 1201 in FIG. 12 includes a cell identifier, an analysis target period, a low quality flag for each communication quality indicator, a low quality factor, and a communication quality improvement method.

  The analysis server 113 transmits the low quality factor and improvement method information to the analysis result storage server 114 (227 in FIG. 2). The analysis result accumulation server 114 stores the low quality factor and improvement method information (228 in FIG. 2), and transmits the low quality factor and improvement method information to the client 115 (229 in FIG. 2). The client 115 that has received the low quality factor and improvement method information outputs the low quality factor and improvement method (230 in FIG. 2).

  With reference to FIG. 7 again, an example in which the client 115 outputs the low quality factor and the improvement method as a screen display will be described. In the cell list 702, the analysis status column of the cell for which the analysis of the low quality factor is completed is “completed”. In cell list 702, no. Cell 1 is a cell that has been analyzed, and “low received power” is displayed as a low quality factor, and “transmission power adjustment” is displayed as a communication quality improvement method.

  In the example of FIG. 7, a low quality factor and a communication quality improvement method for a single communication quality index are displayed. When the plurality of communication quality indicators are low quality, low quality factors and communication quality improvement methods for the plurality of communication quality may be displayed. Alternatively, a priority may be given to the communication quality index in advance, and an improvement method for a communication quality index with a higher priority among communication quality indexes with low quality may be output as an improvement method with a higher priority. Thereby, even when there are a plurality of improvement methods, the improvement method to be performed first can be clarified.

  In the example of FIG. 7, the low quality cell, the low quality factor, and the communication quality improvement method are output as the screen display, but may be output in different forms. One example is output as a data file.

  In this embodiment, a low quality cell is detected based on statistical information at a specified timing from a specified monitoring target cell, and the low quality factor of the detected low quality cell is determined using statistical information and a call log. An embodiment of an analysis system 111 that is originally specified and determines a method for improving communication quality will be described.

  The system configuration of the present embodiment is the same as the system configuration of the first embodiment described with reference to FIG.

  A procedure in which the analysis system 111 performs detection of a low quality cell, identification of a low quality factor, and determination of an improvement method will be described with reference to FIG. FIG. 13 is a sequence diagram for explaining a procedure in which the analysis system 111 of the present embodiment performs detection of a low quality cell, identification of a low quality factor, and determination of an improvement method.

  First, the monitoring target cell is input in the client 115 (1301). A method of inputting the monitoring target cell will be described with reference to FIG.

  FIG. 14 is an example of the display screen of the client 115. A monitoring target cell is input using the monitoring target specifying unit 1421 of FIG. The operator inputs the cell identifier of the monitoring target cell in the cell identifier input field 1411 of FIG. 14, inputs the monitoring start timing in the designated date input field 1412, and presses the registration button 1413. Input is complete. The input monitoring target cell is added to the cell list 1402. The analysis status column of a cell that has been added to the cell list 1402 but has not been determined whether or not it is a low-quality cell is “waiting for determination”.

  Although FIG. 14 shows an example in which the worker inputs the monitoring target cell information on the screen, a data file including the monitoring target cell information may be input. The monitoring target cell information may be input at an arbitrary timing.

  Cells that are “waiting for determination” may not be displayed in the cell list 1402. In this case, when the determination of whether or not the cell is a low quality cell is completed, the cell is added to the cell list 1402. Further, in this case, it is useful to be able to browse separately the monitoring target cells including the “waiting for determination” cell. For example, the input monitoring target cell is added to the monitoring target cell list 1422 of FIG. In the example of FIG. 14, the monitoring target cell list 1422 includes a cell identifier of the monitoring target cell and information on a region where the radio base station 103 having the cell is located.

  The input processing and screen display in the client 115 may be executed by executing a program stored in the client 115, or a program stored in the analysis server 113 or the analysis result accumulation server 114 may be operated from the client 115. .

  The client 115 transmits the monitoring target cell information to the analysis server 113 (1302). FIG. 15 is an example of the monitoring target cell information table 1501 transmitted by the client 115. The monitoring target cell information table 1501 in FIG. 15 includes the cell identifier of the monitoring target cell and the monitoring start timing.

  The sequence 1311 to the sequence 1315 are the same as the sequence 211 to the sequence 215 in FIG. 2 described in the first embodiment. However, the analysis server 113 of this embodiment may request the statistical information from the base station management server 106 by designating a period after the monitoring target timing.

  The analysis server 113 that has received the aggregated statistical data performs low quality cell detection processing (1316). The method for detecting the low quality cell is the same as the method of FIG. 5 described in the first embodiment. However, the analysis server 113 of the present embodiment performs low quality cell detection processing using statistical data after the monitoring start timing. Therefore, as shown in FIG. 5, in the example in which low-quality cell detection processing is performed using 7-day aggregated statistical information for 7 days, aggregated statistics for 7 days after the monitoring start timing are collected. After the data is input, the analysis server 113 performs a low quality cell detection process. In the present embodiment, as in the first embodiment, the low quality cell detection process is performed using information for seven days, but the information used for the low quality cell detection process is not limited to seven days. .

  The sequence 1316 to the sequence 1319 are the same as the sequence 216 to the sequence 219 in FIG. 2 described in the first embodiment.

  The client 115 outputs the low quality cell (1320). An example in which the client 115 outputs a low-quality cell will be described using FIG. 14 again.

  FIG. 14 shows an example of the output of low quality cells that the client 115 of this embodiment outputs as a screen display. The map 1401 displays the position of each radio base station 103 and whether or not each cell is a low quality cell, similarly to the map 701 of FIG. 7 described in the first embodiment. The cell list 1402 displays a list of monitoring target cells. The cell list 1402 includes information such as the cell identifier of each cell, information on whether or not the cell is a low quality cell, and whether or not each communication quality index is low quality (the low quality flag in the low quality cell information table 601 is True). . The designated date column of the cell list 1402 displays the monitoring start timing input in the sequence 1301. The low quality factor and improvement method included in the cell list 1402 will be described later.

  Note that the connection rate and disconnection rate displayed in the cell list 1402 of FIG. 14 are examples of communication quality indicators, and the cell list 1402 may display any communication quality indicator. In the cell list 1402, the cell analysis status column for which information indicating whether or not the cell is a low quality cell is “under analysis”.

  The cell list 1402 may display cells with lower communication quality at the top. The low communication quality is determined by, for example, the number of low quality days in the low quality cell information table 601. Alternatively, a priority may be given to the communication quality index in advance, and a cell having a lower communication quality index with a higher priority may have a lower communication quality.

  In the cell list 1402, some but not all cells may be displayed. For example, the cell list 1402 may display a certain number of cells having the lowest communication quality.

  The client 115 may select a cell to be displayed in the cell list 1402 according to the map 1401. For example, the cell list 702 displays cells within the display range of the map 1401. Furthermore, when the display range of the map 1401 is changed by scrolling, enlargement, reduction, or the like, the cells displayed in the cell list 1402 may be changed according to the changed display range of the map.

  On the other hand, the analysis server 113 sets the low quality cell detected in the sequence 1315 as the analysis target cell, and transmits the analysis target cell information to the base station information storage server 112 via the base station information storage server 112 (1322). The analysis target cell information is the same as the analysis target cell information table 801 of FIG. 8 described in the first embodiment. However, the analysis target period is after the monitoring start timing.

  The sequence 1323 to sequence 1329 are the same as the sequence 223 to sequence 229 of FIG. 2 described in the first embodiment.

  An example in which the client 115 outputs the low quality factor and the improvement method in the sequence 1330 will be described with reference to FIG. In the analysis status column of the cell list 1402, information indicating whether the cell has been input as a monitoring target but has not yet been determined whether it is of low quality (“waiting for determination”) or whether the cell is of low quality is displayed. Whether there is low quality factor or improvement method information (“analyzing”) or low quality factor or improvement method information exists (“completed”). This indicates whether the cell is a non-target cell (“non-target”). In the cell list 1402, no. Cell 1 is a cell that has been analyzed, and “low received power” is displayed as a low quality factor, and “transmission power adjustment” is displayed as a communication quality improvement method.

  No. in the cell list 1402. The cell of 2 is being analyzed and displayed as being of low quality, but its cause and improvement method are not displayed. No. in the cell list 1402. The cell No. 3 is waiting for determination, and information on whether the cell is of low quality is not displayed. With respect to a cell waiting for determination, the remaining time until determination as to whether the cell is a low quality cell may be displayed in the analysis state.

  In the example of FIG. 14, the low quality factor and the communication quality improvement method for a single communication quality index are displayed, but the cell list 1402 displays the low quality factor and the communication quality improvement method for a plurality of communication qualities. Good. Alternatively, a priority may be given to the communication quality index in advance, and an improvement method for a communication quality index with a higher priority among communication quality indexes with low quality may be output as an improvement method with a higher priority. Thereby, even when there are a plurality of improvement methods, the improvement method to be performed first can be clarified.

  Although FIG. 13 shows an example in which the client 115 displays low quality cell information in the sequence 1320 and then displays low quality factors and improvement methods in the sequence 1330, the low quality cell information is displayed in the sequence 1330. In this case, the low quality factor and the improvement method may be displayed together. In that case, the analysis server 113 may pass the low-quality cell information passed to the client 115 via the analysis result storage server 114 in sequences 1617 to 1619 together with the low-quality factor and improvement method in sequences 1627 to 1630.

  The client 115 may select a cell to be displayed in the cell list 1402 according to the map 1401. For example, the cell list 1402 displays the monitoring target cells within the display range of the map 1401. Further, when the display range of the map 1401 is changed by scrolling, enlargement, reduction, or the like, the monitoring target cell displayed in the cell list 1402 may be changed according to the changed display range of the map.

  The present embodiment may be applied to a cell of the radio base station 103 newly installed or moved or a cell whose parameter setting value is changed. There is a possibility that the communication quality in the cell changes due to the change of the cell setting such as the new establishment or relocation of the radio base station 103 or the change of the parameter setting value of the cell. In that case, using statistical information and call logs including the period before the change of the cell settings, if a low quality cell is detected, a low quality factor is specified, and an improvement method is determined, an incorrect result may be obtained. There is sex. Therefore, by registering the cell for which the cell setting is changed as the monitoring target cell with the date when the cell setting is changed as the monitoring start timing, the statistical information and the call log after the cell setting is changed are used. It is possible to detect a low quality cell, identify a low quality factor, and determine an improvement method.

  Further, there is a possibility that the communication quality in the cell is deteriorated due to the change of the cell setting as compared with that before the change. Such a cell is considered to have been inappropriate in changing the cell settings. In this case, when this embodiment is applied, a cell with deteriorated communication quality is detected as a low-quality cell, and the cause can be specified or an improvement method can be determined. By comparing the changed cell setting with the low quality factor and the improvement method, it is possible to determine whether or not the deterioration of the communication quality is due to the cell setting.

  In this embodiment, low quality cells are detected from specified cells based on statistical information, and low quality factors of selected cells are identified based on statistical information and call logs to improve communication quality. An example of an analysis system 111 for determining a method is shown.

  The system configuration of the present embodiment is the same as the system configuration of the first embodiment described with reference to FIG.

  A procedure in which the analysis system 111 detects a low quality cell, specifies a low quality factor, and determines an improvement method will be described with reference to FIG. FIG. 16 is a sequence diagram for explaining a procedure in which the analysis system 111 of this embodiment performs detection of a low quality cell, identification of a low quality factor, and determination of an improvement method.

  First, a monitoring target cell is input in the client 115 (1601). A method of inputting the monitoring target cell will be described with reference to FIG.

  FIG. 17 is an example of a low-quality cell display screen displayed by the client 115. A monitoring target cell is input using the monitoring target specifying unit 1723 of FIG. The operator inputs the cell identifier of the monitoring target cell in the cell identifier input field 1711 of FIG. 17, inputs the monitoring target period of communication quality in the monitoring date input field 1712, and presses the registration button 1713. Information entry is complete. In the example of FIG. 17, the communication quality monitoring target period is one day. The input monitoring target cell is added to the cell list 1702. The analysis status column of the cell added to the cell list 1702 is “waiting for determination”. The monitoring date column of the cell list 1702 displays the monitoring target period input to the monitoring date input column 1712 in the sequence 1601. Other items in FIG. 17 will be described later.

  The input processing and screen display in the client 115 may be executed by executing a program stored in the client 115, or a program stored in the analysis server 113 or the analysis result accumulation server 114 may be operated from the client 115. .

  Although FIG. 17 shows an example in which the worker inputs the monitoring target cell information on the screen, a data file including the monitoring target cell information may be input. The monitoring target cell information may be input at an arbitrary timing.

  The client 115 transmits the monitoring target cell information to the analysis server 113 (1602). FIG. 18 is an example of the monitoring target cell information table 1801 transmitted by the client 115. The monitoring target cell information table 1801 in FIG. 18 includes a cell identifier of the monitoring target cell and a monitoring target period.

  The sequence 1611 to the sequence 1615 are the same as the sequence 211 to the sequence 215 in FIG. 2 described in the first embodiment. However, the analysis server 113 of the present embodiment may request the base station management server 106 for statistical information specifying the monitoring target period.

  The analysis server 113 that has received the aggregated statistical data performs low-quality cell detection processing (1616).

  A method for detecting a low quality cell and creating the low quality cell information table 2001 as a result will be described with reference to FIGS. 19 and 20.

  FIG. 19 is a diagram illustrating a procedure for performing low-quality cell detection processing using statistical information aggregated every hour for 24 hours. The analysis server 113 performs low quality cell detection processing for each cell and for each communication quality index. First, the analysis server 113 initializes the low quality time count m (1901). Next, the analysis server 113 determines whether the statistical value for each hour is bad, that is, whether the communication quality is low and the parameter corresponding to the communication quality index is greater than or equal to the threshold (1902).

  Regarding the connection rate, handover success rate, and scheduled IP throughput, it is assumed that the communication quality per hour is low when the communication quality index is less than the threshold. Regarding the disconnection rate and the radio resource usage rate, it is assumed that the communication quality per hour is low when the communication quality index is greater than or equal to the threshold. The parameters corresponding to the connection rate and the handover success rate are the number of connection and handover trials, respectively. The parameter corresponding to the disconnection rate, the radio resource usage rate, and the scheduled IP throughput is the number of connected users. By determining in step 1902 that the parameter corresponding to the communication quality index is greater than or equal to the threshold value, it is possible to eliminate the influence of a time zone in which the number of users is very small, such as midnight. If the communication quality per hour is low and the parameter corresponding to the communication quality index is equal to or greater than the threshold (Yes in 1902), the analysis server 113 increases the low quality time count m by 1 (1903). This is performed on the statistical information aggregated every hour for 24 hours.

  Thereafter, the analysis server 113 records the low quality time as the low quality time count m in the low quality cell information table 2001 (1904). When the low quality time count m is equal to or greater than the threshold value (Yes in 1905), the analysis server 113 determines that the target communication quality index is low quality, and sets the low quality flag to true in the low quality cell information table 601. (1906). When the low quality time count m is less than the threshold (No in 1905), the analysis server 113 determines that the target communication quality index is not low quality in the target cell, and stores the low quality flag in the low quality cell information table 601. Is recorded as False (1907). In this embodiment, the low quality cell detection process is performed using information for 24 hours, but the information used for the low quality cell detection process is not limited to 24 hours.

  FIG. 20 is an example of the low quality cell information table 2001 that the analysis server 113 creates based on the brain of FIG. The analysis server 113 creates a low quality cell information table 2001 for each cell. In FIG. 20, the low quality cell information table 2001 includes a cell identifier, a target period of low quality cell information, a low quality flag of each communication quality indicator, and a low quality time. The analysis server 113 inputs the low quality flag of each communication quality index in FIG. 20 in step 1906 or 1907 in FIG. 19 and the low quality time in step 1904, respectively.

  The sequence 1617 to the sequence 1619 are the same as the sequence 216 to the sequence 219 in FIG. 2 described in the first embodiment.

  The client 115 outputs a low quality cell (1620). An example in which the client 115 outputs a low quality cell will be described with reference to FIG. 17 again. FIG. 17 shows an example of the output of low quality cells that the client 115 of this embodiment outputs as a screen display. Similar to the map 701 of FIG. 7 described in the first embodiment, the map 1701 displays the position of each radio base station 103 and whether each cell is a low quality cell. The cell list 1702 displays a list of monitoring target cells. The cell list 1702 includes information such as a cell identifier, information on whether or not the cell is a low quality cell, and whether or not each communication quality index is low quality (the low quality flag in the low quality cell information table 601 is True). The low quality factors and improvement methods included in the cell list 1702 will be described later. Note that the connection rate and disconnection rate displayed in the cell list 1702 in FIG. 17 are examples of communication quality indicators, and the cell list 1702 may display any communication quality indicator. In the cell list 1702, the cell analysis status column in which information indicating whether or not the cell is a low quality cell is “unselected”.

  The cell list 1702 may display cells with lower communication quality at the top. The low communication quality is determined, for example, by the length of the low quality time in the low quality cell information table 601. Alternatively, a priority may be given to the communication quality index in advance, and a cell having a lower communication quality index with a higher priority may have a lower communication quality.

  The cell list 1702 may display some but not all cells. For example, the cell list 1702 may display a certain number of cells having the lowest communication quality.

  The client 115 may select a cell to be displayed in the cell list 1702 according to the map 1701. For example, in the cell list 1702, cells within the display range of the map 701 are displayed. Furthermore, when the display range of the map 1701 is changed by scrolling, enlargement, reduction, or the like, the cells displayed in the cell list 1702 may be changed according to the changed display range of the map.

  Next, a target cell for analysis of a low quality factor is selected (1621). A procedure for the operator to select the analysis target cell will be described with reference to FIG. When the operator selects a cell in the selection list of the cell list 1702 and presses the analysis button 1703, the analysis target cell is selected.

  Thereafter, the analysis target cell information is transmitted to the base station information accumulation server 112 via the analysis server 113 and the base station information accumulation server 112 (1622).

  An example of the analysis target cell information table 801 in the present embodiment is the same as that in FIG. 18 described in the first embodiment. The analysis target period of the analysis target cell information table 801 of the present embodiment may be the same as the monitoring target period, for example. Also in this embodiment, an analysis target period may be designated for each communication quality index. Further, the analysis server 113 may select the analysis target period.

  Sequence 1623 to sequence 1630 are the same as sequence 223 to sequence 230 in FIG. 2 described in the first embodiment.

  An example in which the client 115 outputs a low quality factor and an improvement method will be described with reference to FIG. The analysis status of the cell list 1702 includes information on whether the cell has been input as a monitoring target but has not yet been determined whether it is of low quality (“waiting for determination”) or whether the cell is of low quality. However, if there is no information on low quality factors or improvement methods (“analyzing”), information on low quality factors or improvement methods exists (“completed”), identification of low quality factors and determination of improvement methods Indicates whether it is out of scope ("out of scope"). In the cell list 1702, no. Cell 1 is a cell for which the analysis of the low quality factor has been completed. “Low received power” is displayed as the low quality factor, and “Transmission power adjustment” is displayed as the communication quality improvement method.

  No. in the cell list 1702. The cell 2 is “unselected”, indicating that it is of low quality, but has not been selected as an object for analyzing the cause or improvement method. No. in the cell list 1702. The cell No. 5 is waiting for determination, and information on whether the cell is of low quality is not displayed.

  In the example of FIG. 17, the low quality factor and the communication quality improvement method for a single communication quality index are displayed, but the cell list 1702 may display the low quality factor and the communication quality improvement method for a plurality of communication qualities. Good. Alternatively, a priority may be given to the communication quality index in advance, and an improvement method for a communication quality index with a higher priority among communication quality indexes with low quality may be output as an improvement method with a higher priority. Thereby, even when there are a plurality of improvement methods, the improvement method to be performed first can be clarified.

  In the first and second embodiments, low quality cells are detected using statistical data for a relatively long period of time, for example, 7 days. Therefore, the low quality cell cannot be detected until the statistical data for 7 days is acquired. For example, in Example 2, after seven days have elapsed from the cell setting change timing, that is, the monitoring start timing, the low-quality cell is detected using the statistical data for seven days. However, in the third embodiment, low quality cells are detected using statistical data for a relatively short period, for example, 24 hours. For example, when it is necessary to answer an inquiry about communication quality from a contractor using a wireless communication network at an early stage, the communication quality can be grasped early by applying the third embodiment.

  Up to this point, the analysis system 111 having the configuration of FIG. 1 has been described. However, the analysis system 111 may have a configuration different from that in FIG. As Example 4, an example of an analysis system having another configuration will be described with reference to FIGS. 25 and 26. FIG. FIG. 26 is a configuration diagram of an analysis system 2511 in the fourth embodiment.

  25, the analysis system 2511 includes a base station information accumulation server 2516, an analysis server 2513, a database 2517, and a client 2515. The base station information accumulation server 2516 collects statistical information and call logs acquired from the base station management server 106. The analysis server 2513 detects a cell with low communication quality, that is, a low quality cell, specifies a factor with low communication quality, and determines a communication quality improvement method.

  The database 2517 stores aggregated statistical information and call logs, analysis results including low quality cell information, low quality factors, and communication quality improvement methods. The client 2515 outputs an analysis result in a form such as screen display or file creation, and accepts an input relating to analysis such as selection of an analysis target in a form such as an operator's operation.

  The base station information storage server 2516, analysis server 2513, and client 2515 in FIG. 25 have the same configuration as the base station information storage server 112, analysis server 113, and client 115 in FIG.

  The database 2517 is a computer including a CPU, a memory, a secondary storage device such as a hard disk drive, a peripheral device interface such as a communication and a storage medium, a user interface, and the like, and stores data to be stored by other devices. It has a function of saving in the secondary storage device and a function of transmitting data saved in the secondary storage device in response to a request from another device.

  FIG. 26 shows a method for improving communication quality by detecting a low quality cell based on statistical information, identifying a low quality factor of the selected cell based on statistical information and a call log, and the like. It is a sequence diagram for demonstrating the procedure which the analysis system 2511 implement | achieves the function to determine.

  The base station information accumulation server 2516 repeatedly requests statistical information from the base station management server 106, for example, every hour (2611). Receiving the request, the base station management server 106 transmits statistical information to the base station information accumulation server 2516 (2612). The base station information accumulation server 2516 that has received the statistical information performs statistical information aggregation processing (2613), and stores the aggregated statistical information in the database 2517 (2614). The statistical information aggregation process 2613 is the same as the statistical information aggregation process 213 described in the first embodiment.

  The analysis server 2513 repeatedly requests statistical information aggregated in the database 2517, for example, every 24 hours (2615), and acquires the statistical information aggregated from the database 2517 (2616). Thereafter, the analysis server 2513 performs low quality cell detection processing (2617). The low quality cell detection processing 2617 is the same as the low quality cell detection processing 216 described in the first embodiment. The analysis server 2513 stores the low quality cell information in the database 2517 (2618).

  The client 2517 repeatedly requests low quality cell information from the database 2517, for example, every 24 hours (2619), and acquires low quality cell information from the database 2517 (2620). Thereafter, the client 2517 outputs a low quality cell (2621), and the client 2517 selects a cell to be analyzed (2622). The low quality cell output 2621 and the analysis target cell selection 2622 are the same as the low quality cell output 220 and the analysis target cell selection 221 described in the first embodiment.

  Thereafter, the client 2517 transmits the analysis target cell information to the base station management server 106 via the analysis server 2513 and the base station information storage server 2516 (2623).

  Receiving the analysis target cell information, the base station management server 106 transmits the call log of the analysis target cell to the base station information storage server 2516 (2624). In addition to the call log of the analysis target cell, the base station management server 106 may transmit a call log of a cell other than the analysis target cell, for example, a neighboring cell of the analysis target cell, to the base station information accumulation server 2516.

  The base station information storage server 2516 that has received the call log performs call log aggregation processing (2625). The call log aggregation process 2625 is the same as the call log process 224 performed by the base station information accumulation server 112 of the first embodiment. Thereafter, the base station information accumulation server 2516 stores the aggregated call log in the database 2517 (2626).

  The analysis server 2513 repeatedly requests the database 2517 for an aggregated call log related to the analysis target cell notified in the sequence 2623, for example, every hour (2627), and acquires the aggregated call log from the database 2517. (2628).

  Thereafter, the analysis server 2513 identifies the cause of low communication quality and determines an improvement method (2629). The factor identification and improvement method determination processing 2629 performed by the analysis server 2513 is the same as the factor identification and improvement method determination processing 226 performed by the analysis server 2513 in the first embodiment. The analysis server 2513 stores the factor identification and improvement method information in the database 2517 (2630).

  The client 2515 repeatedly requests low quality factors and improvement method information from the database 2517, for example, every hour (2631), and acquires low quality factors and improvement method information from the database 2517 (2632). Thereafter, the client 2515 outputs the low quality factor and improvement method information (2633). The low quality factor and improvement method information output 2633 performed by the client 2515 is the same as the low quality factor and improvement method information output 230 performed by the client 115 of the first embodiment.

  As described above, it has been described that the function of the analysis system 111 of the first embodiment can be realized by the system configuration of FIG. It is obvious that the functions of the analysis system 111 of the second and third embodiments can be similarly realized by the system configuration of FIG.

  So far, the analysis system 111 in each embodiment has been described. Although a single embodiment may be applied as the analysis system 111, a plurality of embodiments may be applied. For example, Embodiments 1, 2, and 3 may be applied. Hereinafter, monitoring of communication quality using the first, second, and third embodiments will be referred to as monitoring mode 1, monitoring mode 2, and monitoring mode 3, respectively. The cell selected in the monitoring mode 2 may be excluded from the target for determining whether or not it is a low quality cell in the monitoring mode 1. Thereby, it can prevent detecting a low quality cell using the statistical information including the period before a cell setting change in the monitoring mode 1. FIG.

  An example of the output of a low quality cell when the monitoring modes 1, 2, and 3 are applied will be described with reference to FIG. FIG. 21 is an example of a display screen of the client 115 in the analysis system 111 to which the monitoring modes 1, 2, and 3 are applied.

  Similar to the map 2101 of FIG. 7 described in the first embodiment, the map 2101 displays the position of each radio base station 103 and whether each cell is a low quality cell. Note that the map 2101 may indicate which monitoring mode the target cell is. The cell list 2102 displays a list of target cells in each monitoring mode. The cell list 2102 includes information on which monitoring mode the target cell is. The designated date or monitoring date in the cell list 2102 is the designated date in monitoring mode 2 or the monitoring date in monitoring mode 3. The cell list 2102 includes cell identifiers, information on whether or not a cell is low quality, information on whether or not each communication quality index is low quality, a low quality factor, a communication quality improvement method, an analysis status, and use of a selection field. The way of doing is as described in each example.

  The monitoring target cell input unit 2121 in the monitoring mode 2 is the same as the monitoring target cell input unit 1421 of FIG. 14, and includes a cell identifier input field, a specified date input field, and a registration button. The monitoring target cell list 2122 in the monitoring mode 2 is the same as the monitoring target cell list 1422 of FIG. The monitoring target cell input unit 2123 in the monitoring mode 3 is the same as the monitoring target cell input unit 1723 of FIG. 17, and includes a cell identifier input column, a monitoring date input column, and a registration button.

  The display screen of the low-quality cell and the low-quality factor and improvement method of the client 115 may have a plurality of formats. As an example of changing the display screen style according to the size of the monitoring target area, an example having three styles will be described with reference to FIGS. 21, 22, and 23.

  FIG. 22 is an example of a display screen when the monitoring target area is a wide area such as the whole of Japan. A map 2201 is a wide-area map, and displays the proportion of low-quality cells for each region such as a prefecture as the communication quality of each region. A graph 2202 represents a change in the proportion of low quality cells. Graphs 2203 and 2204 represent the transition of each communication quality index. The low quality region ranking 2205 is displayed in order from the region where the ratio of low quality cells is large. By displaying the communication quality over a wide area as shown in FIG. 22, it is possible to overlook the quality of the wireless communication network.

  FIG. 23 is an example of a display screen when the monitoring target area has a medium size such as a prefecture or a municipality. A map 2301 is a map that displays a medium area, and displays the radio base station 103 including a low-quality cell. The cell list 2302 displays low quality cells in the display target area. The monitoring target cell input unit 2321 in the monitoring mode 2 is the same as the monitoring target cell input unit 2121 in FIG. The monitoring target cell list 2322 in the monitoring mode 2 is the same as the monitoring target cell list 2122 in FIG. The monitoring target cell input unit 2323 in the monitoring mode 3 is the same as the monitoring target cell input unit 2123 in FIG. By displaying the communication quality in a medium area as shown in FIG. 23, for example, it is possible to visually identify a location where low quality cells are unevenly distributed.

  FIG. 21 is an example of a display screen when the monitoring area is a small area such as a city. A map 2101 is a map that displays a narrow area, and displays whether each cell is a low-quality cell.

  A transition between a plurality of display screen formats will be described with reference to FIG. FIG. 24 is a diagram illustrating an example of a method of transitioning between the wide area display of FIG. 22, the medium area display of FIG. 23, and the narrow area display of FIG. 21.

  Reference numeral 2401 denotes a transition from a wide area display to a medium area display. By accepting the selection of the area by the operator on the map 2201 displayed on the screen of the client 115 in FIG. 22, the display transits to the display of the selected medium area.

  Reference numeral 2402 denotes a transition from a medium area display to a narrow area display. 23 is selected by accepting selection of a radio base station 103 including a low-quality cell by a worker on the map 2301 or selection of a cell in the cell list 2302 displayed on the screen of the client 115 in FIG. Transition to the display of a narrow area that includes a broken cell.

  Reference numeral 2403 denotes a transition from a narrow area display to a medium area display. When the operator presses the wide area button 2104 displayed on the screen of the client 115 in FIG. 21, the area transitions to a medium area.

  Reference numeral 2404 denotes a transition from a medium area display to a wide area display. By accepting the pressing of the wide area button 2304 displayed on the screen of the client 115 in FIG. 23, the display transitions to the wide area display.

  By making a transition between the formats of the plurality of display screens, it is possible to visually determine a portion where the communication quality should be improved. For example, on the wide area display screen as shown in FIG. 22, referring to the communication quality display of each area of the map 2201 and the low quality area ranking 2205, the area with the highest low quality cell rate is selected, and the medium area Transition to the local display screen. Next, on the display screen of the medium area as shown in FIG. 23, reference is made to the map 2301, and the base stations in the places where the base stations including the low quality cells are densely selected are selected. Transition to the display screen. Finally, on the display screen of a narrow area as shown in FIG. 21, the map 2101 and the cell list 2102 are referred to and a cell whose communication quality should be improved is determined. For example, when the cell list 2102 displays a cell with lower communication quality at a higher level, the higher level cell in the cell list 2102 may be a cell whose communication quality should be improved.

  The screen display or screen transition in FIG. 21 to FIG. 24 and the input process therefor may be executed by executing a program stored in the client 115 as well as the input process and screen display in the client 115 described above. A program stored in a server or database may be operated from the client 115.

  Although the above disclosure has been described with reference to exemplary embodiments, those skilled in the art will recognize that various changes and modifications can be made in form and detail without departing from the spirit or scope of the disclosed subject matter. Will do.

101 wireless communication network system 102 user terminal 103 wireless base station 104 network 105 core network 106 base station management server 111 analysis system 112 base station information storage server 113 analysis server 114 analysis result storage server 115 client 2511 analysis system 2513 analysis server 2515 client 2516 Base station information storage server 2517 database

Claims (17)

An analysis system,
Obtaining statistical information relating to the communication quality index of the radio base station, and a call log relating to the call or connection of the radio base station,
Detect low quality cells with low communication quality using the statistical information,
A low quality factor of the low quality cell is specified using one or both of the statistical information and the call log. The analysis system according to claim 1,
The call log is acquired for the detected low quality cell after the detection of the low quality cell. The analysis system according to claim 1,
Calculate the statistical value of the communication quality index using the statistical information,
An analysis system, wherein the low quality cell is detected using the statistical value. The analysis system according to claim 3,
The analysis system, wherein the communication quality index includes at least one of a connection rate, a disconnection rate, a handover success rate, a radio resource usage rate, and an IP throughput. The analysis system according to claim 3,
Give priority to the communication quality index,
Determine a communication quality improvement method based on the low quality factor,
An analysis system, wherein the communication quality improvement method for the communication quality index having a high priority is determined to be a communication quality improvement method having a high priority. The analysis system according to claim 3,
Determine whether the statistical value for each first period having a certain length is good or bad,
In the second period having a length equal to or longer than the first period, if the count value determined to be defective for each first period is equal to or greater than a predetermined threshold, it is determined that the quality is low. An analysis system characterized by The analysis system according to claim 3,
Determine whether the statistical value for each third period having a certain length is good or bad,
In the fourth period having a length equal to or longer than the third period, if the count value determined for each third period is bad or not is a threshold value or more, the statistical value for the fourth period is bad. Judgment,
In the fifth period having a length equal to or longer than the fourth period, it is determined that the quality is low when a count at which the statistical value for each fourth period is determined to be not less than a threshold value. Analysis system. The analysis system according to claim 1,
An analysis system for acquiring a call log of the low quality cell. The analysis system according to claim 8,
Create statistics based on the call log,
An analysis system characterized by identifying a low quality factor of the low quality cell based on the statistical value. The analysis system according to claim 1,
The analysis system, wherein the call log is a log for each call or for each connection. The analysis system according to claim 1,
Accept the specification of the analysis target period,
The analysis system, wherein the call log is acquired for the analysis target period. The analysis system according to claim 1,
An analysis system characterized by repeatedly creating a list of the low quality cells. The analysis system according to claim 12, wherein
Accept cell selection from the list,
An analysis system characterized by identifying a low quality factor for a selected low quality cell. The analysis system according to claim 2,
Detecting low quality cells at a second timing after a certain period from the first timing;
A low quality cell is detected using the statistical value from the first timing to the second timing. The analysis system according to claim 2,
An analysis system characterized by identifying low quality factors of all the low quality cells. The analysis system according to claim 1,
An analysis system, wherein a communication quality improvement method is determined based on the low quality factor. The analysis system according to claim 1,
Accepts designation of region or base station,
An analysis system that outputs information on the low-quality cell in the designated area or the designated base station.

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