JP2005136811A - Device and method for diagnosis on base station - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a base station diagnostic device determining whether diagnosis is done, according to the line status of a radio communications line. <P>SOLUTION: A base station self-diagnosis device 40 is disposed at a base station 1 for performing communications via a communication terminal 2 and a communication line. The base station self-diagnosis device 40 executes self-diagnosis for the base station 1. The base station self-diagnosis device 40 comprises: an information acquiring means 20 for acquiring information on a communication state between the communication terminal 2 and the base station 1; a group judging means for dividing the acquired communication state into different groups at a predetermined range as a communication state for each predetermined unit time; a storage means 50 for storing information on the groups; and a determining means for determining whether self-diagnosis for the base station is performed, based on the number of the stored information on the groups. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a base station periodic self-diagnosis method, and more particularly, to a base station diagnosis apparatus and a base station diagnosis method for determining whether diagnosis is possible or not according to a line state of a radio communication line.

  The base station needs periodic diagnosis for its maintenance. Periodic diagnoses include a diagnosis that needs to be performed at a low traffic timing so as not to hinder the operation service, and a diagnosis that needs to be performed at a timing when some traffic is generated.

  For example, the switchboard diagnoses the base station, monitors the base station and matches the state of the switchboard, and automatically diagnoses the base station to prevent a base station failure and realize a mobile communication system with excellent serviceability. There is a method (for example, refer to Patent Document 1).

In such a diagnostic method, maintenance information is accumulated and analyzed by the maintenance center in advance, such as throughput information periodically notified from the base station in advance, and for example, a time zone with few users (for example, midnight) is selected. Then, a periodic diagnosis schedule is created, the created periodic diagnosis schedule is notified to each base station, and the base station uses the periodic diagnosis according to the created periodic diagnosis schedule.
Japanese Patent Laid-Open No. 9-284834

  However, in the conventional periodic diagnosis, the periodic diagnosis is performed in accordance with the periodic diagnosis schedule determined for each diagnosis item in advance in the maintenance center. In such a case, the diagnosis may not be performed correctly. In addition, it is very difficult to predict the occurrence of a certain amount of traffic as described above, and automatic periodic diagnosis cannot be performed.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide a base station and a base station self-diagnosis method for performing diagnosis after confirming traffic at the time of periodic diagnosis.

  1st invention is provided in the base station which communicates via a communication line with a communication terminal, The base station self-diagnosis apparatus which performs the self-diagnosis of the said base station WHEREIN: The communication state of the said communication terminal and the said base station Information acquisition means for acquiring the information, group determination means for grouping the acquired communication state into a predetermined range for each predetermined unit time, and information on the group for each predetermined unit time are stored Storage means and determination means for determining whether or not self-diagnosis of the base station can be executed based on the number of information stored in the group are provided.

  In a second aspect based on the first aspect, when the determination unit determines that a predetermined number of pieces of group information stored corresponding to a predetermined period are recorded, a periodic diagnosis is performed. It is characterized by that.

  According to a third aspect, in the first or second aspect, when the determination unit determines that a predetermined number of pieces of group information stored for a predetermined period are not recorded, a self-diagnosis is performed. It is characterized in that it is determined that the possibility of executing is low.

  According to a fourth aspect of the present invention, in a method for performing self-diagnosis in a base station that communicates with a communication terminal via a communication line, a communication state between the communication terminal and the base station is acquired, and the acquired predetermined time unit is acquired. The communication status is grouped into a predetermined range, the group information for each predetermined time unit is stored, and the self-diagnosis of the previous base station is executed based on the number of the stored group information It is characterized by determining whether or not.

  In the present invention, in a base station self-diagnosis apparatus that is provided in a base station that communicates with a communication terminal via a communication line, and performs a self-diagnosis of the base station, a predetermined time unit between the communication terminal and the base station Acquisition means for acquiring the communication rate, group determination means for grouping the acquired communication rate in the predetermined time unit into a predetermined range, storage means for storing information on the group for each predetermined time unit, Determination means for determining whether or not to perform self-diagnosis of the base station based on the number of pieces of information of the group stored within a predetermined period, so that the feasibility of self-diagnosis is determined The base station can autonomously execute the periodic diagnosis schedule, and the maintenance center does not need to notify the periodic diagnosis schedule sequentially. Therefore, the availability of maintenance of the base station is improved, and diagnosis can be performed efficiently within the regular diagnosis cycle.

  Further, since the alarm is notified to the maintenance center, it is possible to prompt the maintenance person to take appropriate measures (for example, change of schedule, etc.).

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 is a block diagram showing the configuration of the embodiment of the present invention.

  The base station 1 communicates with the wireless communication terminal 2A or 2B via wireless communication. Further, a maintenance center 3 for performing maintenance and maintenance of the base station is connected to the base station 1 via a network.

  The base station 1 includes an antenna 10, a radio unit 20, a signal processing unit 21, an interface (I / F) unit 22, a control unit 30, a base station diagnosis unit 40, and the like.

  The radio unit 20 includes a baseband unit and a codec unit, converts a high-frequency signal from the antenna 10 into a data signal, converts the data signal into a high-frequency signal, and sends the data signal to the antenna 10. Data can be sent and received between them. The signal processing unit 21 processes data sent to the wireless unit 20 and data sent from the wireless unit 20. The I / F unit 22 is an interface for connecting to a network, and is connected to another base station or the maintenance center 3 via the network.

  The base station diagnosis unit (base station diagnosis device) 40 receives information on transmission efficiency (for example, sector throughput) measured by the radio unit 20, generates data based on the received information, and performs base station diagnosis on the data The data is accumulated in the storage unit 50 that is a storage device such as a memory provided in the unit 40. Then, based on the data accumulated in the storage unit 50, it is determined whether or not the self-diagnosis that is performed periodically can be executed. The control unit 30 controls each unit of the base station 1.

  Next, the operation of the base station according to the embodiment of the present invention will be described.

  The signal processing unit 21 measures information related to transmission efficiency of communication performed with a plurality of wireless communication terminals (2A, 2B) existing in the cell range of the base station 1. That is, the signal processing unit 21 constitutes an information acquisition unit.

  The base station diagnosis unit 40 includes a diagnosis execution unit 41, a result output unit 42, a storage unit 50, a determination unit 51, a group determination unit 52, and the like. The diagnosis execution unit 41 executes a diagnosis program for executing a self-diagnosis of the base station 1. The result output unit 42 notifies the maintenance center 3 of information such as a diagnosis result and a diagnosis impossibility through the I / F unit 22. The determination means 51 determines whether periodic diagnosis of the base station can be performed.

  The group determination unit 52 acquires a sector throughput value from the radio unit 20 and calculates an average value (average sector throughput value) per unit time of the acquired sector throughput value. This unit time is set to be twice or more (for example, 1 hour or 30 minutes) of the periodical diagnosis execution time. Then, the average sector throughput values are collected in a unit of a certain period, for example, a periodic diagnosis cycle (daily unit or week unit).

  It is obvious that more accurate data can be obtained by obtaining average sector throughput values collected for a certain period and calculating the average over several weeks. For example, when summarizing in units of one day, an average sector throughput value is acquired over a week, and an average value is calculated for each unit time.

  Next, grouping is performed on the average sector throughput value for each unit time.

  FIG. 2 is a table showing an example of the relationship between the average sector throughput value and the group associated with the average sector throughput value. In this example, group A5 is assigned to an average sector throughput value of 1000 kbps (1 Mbps) or higher, and group B3 is assigned to an average sector throughput value in the range of 450 kbps to 499 kbps.

  And the group determination means 52 memorize | stores this grouped value in the memory | storage part 50 as a database corresponding to unit time.

  FIG. 3 is a diagram for explaining an example of the contents of the database stored in the storage unit 50.

  In the example shown in FIG. 3, the database stores a group corresponding to the value of average sector throughput for each day of the week on a weekly basis. For example, group 11 is stored at 11:00 on Wednesday, and group B5 is stored at 14:00.

  Next, a method for determining whether or not to perform periodic diagnosis will be described.

  FIG. 4 is a table showing an example of criteria for determining diagnostic items in the periodic diagnosis.

  In FIG. 4, information on how many criteria (for example, group range) required by diagnostic items (loopback test, incoming call test, etc.) in the periodic diagnosis must be satisfied during the periodic diagnosis period ( (Required points) and the number of valid points calculated from information stored in the database.

  Here, “points” will be described. The point indicates whether or not the group corresponding to the average sector throughput value per unit time satisfies a value necessary for each diagnosis item to execute diagnosis. If the necessary value per unit time is satisfied, 1 point is added. As described above, the number of unit times (the number of necessary points) that satisfies any of the average sector throughput value not less than a predetermined value, not more than a predetermined value, or a predetermined range is determined for each diagnosis item as described above.

  The determination means 51 of the base station diagnosis unit 40 refers to the database stored in the storage unit 50 and calculates how many valid points are present during the periodic diagnosis cycle of the diagnosis item from the database. Then, the required number of diagnostic items is compared with the calculated effective number of points. As a result of the comparison, if the number of valid points exceeds the required number of points, it is determined that the diagnostic item is executable. If the number of valid points is less than the required number of points as a result of the comparison, it is determined that the diagnostic item is not executable in the scheduled schedule, and an alarm (alarm) is issued indicating that the diagnostic item is not executable. The maintenance center 3 is notified.

  In the example shown in FIG. 4, in the “loopback test 1”, when the required average sector throughput value range is not more than the group D3, it is necessary that it is not less than “15 points”. On the other hand, since the number of valid points acquired from the database is calculated to be “60 points” and sufficiently exceeds the required number of points, the determination unit 51 determines that the loopback test 1 can be diagnosed. To do.

  In the “loopback test 2”, the case where the required average sector throughput value is greater than or equal to group A3 needs to satisfy “10 points”. On the other hand, the number of valid points acquired from the database is calculated to be “7 points”, which is less than the necessary number of points, so it is determined that diagnosis is impossible. At this time, the result output unit 42 notifies (alarms) to the maintenance center 3 that the diagnosis is impossible through the I / F unit 22.

  FIG. 5 is a table schematically showing a method for calculating effective points from a database.

  In the example shown in FIG. 5, information on the group assigned to the average sector throughput value per unit time (1 hour unit) in the periodic diagnosis period (24 hours) in the database stored in the storage unit 50. The right column shows the total effective points in the group. In this case, for example, when the required value of the diagnostic item is “group A5 or higher, the required point is 1 or higher”, the total valid point corresponding to A5 or higher is 1, so that the diagnostic item can be executed. To be judged. On the contrary, when the requested value of the diagnosis item is “group D1 or less, request point 5 or more”, the total number of effective points corresponding to group D1 or less is 1 in the example of FIG. The item is deemed infeasible.

  FIG. 6 is a flowchart showing a diagnosis possible determination process performed by the determination unit 52 of the present embodiment.

  First, database data corresponding to the scheduled execution period of the diagnostic item to be performed is acquired (step 1001).

  Next, the number of valid points is calculated from the acquired data (step 1002).

  Next, it is determined whether or not the calculated effective point number is equal to or greater than the necessary number of points required by the diagnostic item (step 1003). If the number of valid points is equal to or greater than the required number of points, it is determined that the diagnostic item is executable (step 1004), and the process proceeds to the diagnostic item executable determination process (FIG. 7). If the number of valid points is less than the required number of points, it is determined that the diagnostic item cannot be executed in the schedule, and an alarm is sent to the maintenance center 3 that the diagnostic item cannot be executed (step 1004). ).

  FIG. 7 is a flowchart showing a process for determining whether a diagnosis item can be executed, which is performed by the determination unit 51.

  First, the diagnosis execution unit 41 requests the wireless unit 20 to acquire the current sector throughput value, and calculates the acquired average sector throughput value per unit time (step 2001). In this case, as the unit time, an average value in a time shorter than the execution period of the diagnostic item (for example, 15 minutes or 30 minutes) is calculated.

  Next, it is determined whether or not the calculated average sector throughput value satisfies the average sector throughput value requested by the diagnostic item (step 2002). Also in this case, as in the first embodiment described above, it is determined whether or not the average sector throughput value matches a predetermined value or more, a predetermined value or less, or a predetermined range.

  When it is determined that the calculated average sector throughput value satisfies the average sector throughput value requested by the diagnosis item, the process proceeds to processing for executing the diagnosis item (step 2003), and the diagnosis execution unit 41 is informed. Notification is performed so that periodic diagnosis is performed. In addition, when it is determined that the calculated average sector throughput value does not satisfy the sector throughput value requested by the diagnostic item, the diagnostic item is not executed, and whether or not other scheduled diagnostic items can be executed is determined. Make a decision. Also in this case, an alarm may be notified to the maintenance center 3 as described above. Alternatively, the periodic diagnosis may be executed at a different timing instead of the timing of the periodic diagnosis.

  In the execution-determinable processing described above, the base station measures the sector throughput immediately before performing the actual periodic diagnosis, and calculates the average value of the measurement results to confirm the real-time call volume and the like. Periodic diagnosis can be performed, and diagnosis can be performed more efficiently within the periodic diagnosis period.

It is a block diagram which shows the structure of embodiment of this invention. It is the table | surface which showed an example of the relationship between the average sector throughput value of the database of embodiment of this invention, and the group matched with the average sector throughput value. It is explanatory drawing of an example of the content of the database accumulate | stored in the memory | storage part 50 of embodiment of this invention. It is a table | surface which shows an example of the criteria of a diagnostic item in the periodical diagnosis of embodiment of this invention. It is the table | surface which showed typically the method of calculating an effective point from the database of embodiment of this invention. It is a flowchart which shows the process of the diagnosis possible judgment of a diagnostic item which the base station diagnostic part 40 of embodiment of this invention performs. It is a flowchart which shows the process of the feasibility judgment of a diagnostic item which the base station diagnostic part 40 of embodiment of this invention performs.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Base station 2A, 2B Wireless communication terminal 3 Maintenance center 10 Antenna 20 Radio | wireless part 21 Signal processing part 22 Interface (I / F) part 30 Control part 40 Base station diagnostic part 41 Diagnosis execution part 42 Result output part 50 Memory | storage part 51 Determination Means 52 Group judgment means

Claims (4)

In a base station self-diagnosis device that is provided in a base station that communicates with a communication terminal via a communication line, and performs self-diagnosis of the base station,
Information acquisition means for acquiring communication state information between the communication terminal and the base station;
Group determination means for grouping the acquired communication state into a predetermined range as a communication state for each predetermined unit time; and
Storage means for storing information of the group;
A base station diagnosis apparatus comprising: determination means for determining whether or not to execute self-diagnosis of the base station based on the number of pieces of information stored in the group.   2. The base according to claim 1, wherein when the determination unit determines that a predetermined number of pieces of group information stored corresponding to a predetermined period are recorded, a periodic diagnosis is performed. Station diagnostic device.   The determination means determines that the possibility of self-diagnosis is low when it is determined that a predetermined number of pieces of group information stored for a predetermined period are not recorded. Item 4. The base station diagnostic apparatus according to Item 1. In a method of performing self-diagnosis in a base station that communicates with a communication terminal via a communication line,
Obtaining a communication state between the communication terminal and the base station;
The acquired communication status for each predetermined unit time is grouped into a predetermined range,
Storing the group information;
A base station diagnosis method comprising determining whether or not to execute a self-diagnosis of the previous base station based on the number of information of the group stored.

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