Base station monitoring device, control method for base station monitoring device, and control program for base station monitoring device

Abstract

To provide a technique capable of accurately determining whether abnormalities have been resolved by restoration processing executed according to abnormality detection.SOLUTION: A base station monitoring device includes: an acquisition unit that acquires performance indexes indicating performance of a base station in a time series; a detection unit that detects deterioration occurring in the performance indexes acquired over a predetermined period; and a restration determination unit that determines whether or not the deterioration in the performance indexes has been resolved for a target base station that is a base station where the deterioration in the performance indexes has been detected, by using a first group of the performance indexes acquired over a first period in which the deterioration is not detected, a second group of the performance indexes acquired over a second period in which the deterioration is detected, and a third group of the performance indexes acquired over a third period from the date of restration processing when the target base station is subjected to predetermined restoration processing, after an elapse of the second period.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to a base station monitoring device, a control method for a base station monitoring device, and a control program for a base station monitoring device. [Background technology]

[0002] Conventionally, traffic flowing through a communication network has been monitored, and the applicant has been working to provide a communication monitoring device and the like that can detect abnormalities in a wireless access network and identify the cause of the abnormalities (for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7382468 Summary of the Invention [Problem to be solved by the invention]

[0004] For example, when an abnormality is detected in a base station, some kind of recovery process is implemented, but for stable operation of a wireless access network including multiple base stations, it is necessary to verify whether the recovery process worked effectively. Therefore, there is a need for a technology that can determine whether the recovery process implemented in response to the detection of an abnormality worked effectively, i.e., whether the abnormality has been resolved. [Means for solving the problem]

[0005] A base station monitoring device according to one embodiment of the present disclosure includes an acquisition unit that acquires performance indicators indicating the performance of a base station in chronological order; a detection unit that detects degradation that has occurred in the performance indicators acquired over a predetermined period; and a recovery determination unit that determines whether the degradation of the performance indicators has been resolved for a target base station, which is a base station for which degradation has been detected in the performance indicators, using a first group of performance indicators acquired over a first period in which no degradation was detected, a second group of performance indicators acquired over a second period in which degradation was detected, and a third group of performance indicators acquired over a third period from the recovery processing implementation date, which is the day on which a predetermined recovery processing was performed on the target base station after the second period has elapsed.

[0006] A base station monitoring device according to one embodiment of the present disclosure further includes a calculation unit that calculates a first difference between a performance index included in the first group and a performance index included in the third group, and a second difference between a performance index included in the second group and a performance index included in the third group, and the recovery determination unit may determine that the degradation has been resolved if, as a result of comparing the second difference with the first difference, the degree of recovery from the degradation is greater than the degree of the degradation.

[0007] In a base station monitoring device according to one embodiment of the present disclosure, a calculation unit calculates predetermined statistical values ​​for each of the first, second, and third groups, and calculates, as a first difference, the absolute value of the difference between a first statistical value calculated from a performance index included in the first group and a third statistical value calculated from a performance index included in the third group, and calculates, as a second difference, the absolute value of the difference between a second statistical value calculated from a performance index included in the second group and the third statistical value, and a recovery determination unit may determine that the degradation of the performance index has been resolved if the second difference is greater than the first difference.

[0008] In a base station monitoring device according to one embodiment of the present disclosure, a calculation unit calculates multiple types of statistical values ​​for each of the first, second, and third groups, and calculates a first difference and a second difference for each of the multiple types of statistical values, and a recovery determination unit may determine that the degradation of the performance index has been resolved when a predetermined number or more of the multiple types of statistical values ​​have a second difference greater than the first difference.

[0009] In a base station monitoring device according to an embodiment of the present disclosure, a restoration determination unit may determine whether degradation of the performance index has been resolved when a third period has elapsed since the restoration process was performed.

[0010] In the base station monitoring device according to an embodiment of the present disclosure, the calculation unit may calculate at least one of a Z value, a maximum value, a minimum value, an average value, a median value, and a standard deviation as the predetermined statistical value.

[0011] The base station monitoring device according to an embodiment of the present disclosure may further include a restoration processing unit that performs a predetermined restoration process on the target base station according to the performance index in which degradation has been detected.

[0012] A base station monitoring device according to one embodiment of the present invention may further include a notification unit that, when degradation is detected in a performance index, notifies information about a target base station, which is the base station in which degradation was detected, and, when it is determined that the degradation has been resolved, notifies that the degradation has been resolved.

[0013] A base station monitoring device according to one embodiment of the present invention further includes a status determination unit that determines the status of the base station based on performance indicators, wherein the acquisition unit acquires multiple types of performance indicators, and the status determination unit may determine that a target base station in which degradation has been detected in at least two or more of the multiple types of performance indicators is in a normal state when the degradation has been eliminated in all of the performance indicators in which degradation was detected.

[0014] A base station monitoring device according to one embodiment of the present invention further includes a state determination unit that determines the state of the base station based on performance indicators, wherein the acquisition unit acquires multiple types of performance indicators, and the state determination unit may determine that a target base station in which degradation has been detected in at least two of the multiple types of performance indicators is in a normal state when the degradation has been eliminated in a predetermined percentage or more of the performance indicators in which degradation was detected.

[0015] A control method of a base station monitoring device according to one embodiment of the present disclosure includes the steps of the base station monitoring device acquiring performance indicators indicating the performance of base stations in chronological order, detecting degradation that has occurred in the performance indicators acquired over a predetermined period, and determining whether the degradation of the performance indicators has been resolved for a target base station, which is a base station for which degradation has been detected in the performance indicators, using a first group of performance indicators acquired over a first period in which no degradation was detected, a second group of performance indicators acquired over a second period in which degradation was detected, and a third group of performance indicators acquired over a third period from the recovery processing implementation date, which is the day on which a predetermined recovery processing was performed on the target base station after the second period has elapsed.

[0016] A control program for a base station monitoring device according to an embodiment of the present disclosure enables the base station monitoring device to perform the following functions: acquire performance indicators indicating the performance of base stations in chronological order; detect degradation that has occurred in the performance indicators acquired over a predetermined period; and determine, for a target base station in which degradation has been detected in a performance indicator, whether the degradation in the performance indicator has been resolved using a first group of performance indicators acquired over a first period in which no degradation was detected, a second group of performance indicators acquired over a second period in which degradation was detected, and a third group of performance indicators acquired over a third period from the recovery processing implementation date, which is the day on which a predetermined recovery processing was performed on the target base station after the second period has elapsed. [Brief explanation of the drawings]

[0017] [Figure 1] FIG. 1 is a schematic diagram showing the configuration of a base station monitoring system and the configuration of a base station monitoring device according to an embodiment of the present invention. [Figure 2] FIG. 2 is an example of a flowchart showing processing by a base station monitoring device according to an embodiment of the present invention. [Figure 3] FIG. 3 is an example of a data table relating to performance indicators. [Figure 4] 4(a) and 4(b) are diagrams for explaining restoration determination by a base station monitoring device according to one embodiment of the present invention. [Figure 5]5(a) and 5(b) are diagrams for explaining restoration determination by a base station monitoring device according to one embodiment of the present invention. [Figure 6] FIG. 6 is an example of statistical values ​​calculated in one embodiment of the present invention. [Figure 7] FIG. 7 is a diagram illustrating recovery determination by a base station monitoring device according to an embodiment of the present invention. [Figure 8] FIG. 8 is a diagram illustrating the state determination of a base station according to one embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0018] Hereinafter, an embodiment of the invention according to the present disclosure (also referred to as the present invention) will be described using the drawings. Note that the drawings are merely examples, and the present invention is not limited to those shown in the drawings. For example, the number of base station monitoring devices (servers) and base stations, graphs, data sets (tables), and flowcharts shown in the drawings are merely examples, and the present invention is not limited to these.

[0019] FIG. 1 is a schematic diagram showing the configuration of a base station monitoring system and the block configuration of a base station monitoring device according to an embodiment. The base station monitoring system 600 may be an information processing system in which a base station monitoring device 100 monitors and manages base stations 200 to which communication terminals (not shown) connect. Although FIG. 1 shows three base stations 200 (200A, 200B, 200C), there may be more base stations. Hereinafter, when it is not necessary to distinguish between base stations, they will simply be referred to as base stations 200. The base station monitoring device 100 acquires performance indicators indicating the performance of each base station 200 (200A, 200B, 200C) transmitted from the multiple base stations 200 (200A, 200B, 200C) via a network 500 (including a radio access network (RAN) and a core network). The performance index is a KPI (Key Performance Indicator) that indexes the quality, such as the stability and reliability of communication, within the cell (radio wave range) formed by the base stations 200 (200A, 200B, 200C), and may fluctuate due to maintenance work or failures at the base stations 200, a sudden increase in the number of people, etc. In other words, by monitoring the KPI, the base station monitoring device 100 can monitor abnormalities that may occur at the cell level of the base stations 200. Hereinafter, the performance index and KPI are used synonymously.

[0020] The network 500 may include at least one of a wireless LAN (WLAN), a wide area network (WAN), LTE (long term evolution), LTE-Advanced, fourth generation communication (4G), fifth generation communication (5G), sixth generation communication (6G) or later mobile communication systems. The wireless access network 400 may be, for example, a public switched telephone network (PSTN), a satellite communication network, a dedicated network, or the like. The network 400 may also be a combination of these.

[0021] The base station monitoring device 100 may be any device, such as a server, that is an information processing device capable of executing various processes related to monitoring the base station 200. Although only one base station monitoring device 100 is shown in FIG. 1 , this is not limiting. The functions hereinafter described as being provided by the base station monitoring device 100 may be implemented by multiple servers. Furthermore, the base station monitoring device 100 may be, for example, a distributed server system that cooperates by communicating via a network, or may be a so-called cloud server. The base station monitoring device 100 is not limited to a physical server, and may also include a virtual server implemented by software.

[0022] Next, the hardware configuration and functional configuration of the base station monitoring device 100 according to one embodiment of the present invention will be described again with reference to Fig. 1. The base station monitoring device 100 may include, as its hardware configuration, a control unit 110, a communication unit 120, an input / output unit 130, and a storage unit 170. Although not shown, the base station monitoring device 100 may also include a configuration that is included in a general server, as appropriate.

[0023] Control unit 110 is typically a processor, and may be a central processing unit (CPU), a micro processing unit (MPU), a graphics processing unit (GPU), etc. Control unit 110 may execute the functions and methods described in each embodiment by reading a program stored in storage unit 170 and executing code or instructions included in the read program.

[0024] The storage unit 170 stores various programs and various data required for the operation of the base station monitoring device 100. For example, the storage unit 170 may store quality data received from the base station 200. The storage unit 170 may include, for example, a hard disk drive (HDD), a solid state drive (SSD), a flash memory, etc. The storage unit 170 may also include a memory that provides a working area for the control unit 110.

[0025] The communication unit 120 may be implemented as hardware such as a network interface card (NIC), communication software, or a combination of these. The communication unit 120 may transmit and receive information between the base station monitoring device 100 and other devices, and may, for example, receive data necessary for monitoring the base station 200 from other servers or storage devices (not shown), or transmit data related to monitoring the base station 200 to a manager's terminal (not shown).

[0026] Next, the functional configuration of the base station monitoring device 100 will be described. The base station monitoring device 100 may include an acquisition unit 111, a detection unit 112, a recovery determination unit 113, a calculation unit 114, a recovery processing unit 115, a state determination unit 116, and a notification unit 117 as functions realized by the control unit 110. Note that in FIG. 1, functional units that are not essential for the embodiments described hereinafter may be omitted. Furthermore, the functions or processes of each functional unit may be realized by machine learning or AI (artificial intelligence) to the extent feasible.

[0027] Hereinafter, one embodiment of the present invention will be described with reference to FIGS. 2 to 8 along with an explanation of each functional unit of the base station monitoring device 100. FIG.

[0028] 2 is an example of a flowchart showing processing by the base station monitoring device 100 according to an embodiment. First, the acquisition unit 111 acquires performance indicators indicating the performance of the base station 200 in chronological order (step S11). The performance indicators are KPIs that index the quality within the radio wave range of the base station 200, and the base station monitoring device 100 may acquire multiple types of KPIs from each base station 200. There are hundreds to thousands of types of KPIs that indicate the quality of base station 200, and examples thereof may include received signal strength and signal-to-interference plus noise ratio of uplink shared channel / control channel (UL (UpLink) RSSI (Received Signal Strength Indicator) PUSCH / PUCCH, UL SINR (Signal to Interference plus Noise Ratio) PUSCH / PUCCH), random access channel setup success rate (RACH (Random Access CHannel) Setup Success Rate), handover success rate, RRC connection re-establishment rate (RRC (Radio Resource Control) RE-Establishment Attempt), downlink / uplink throughput (DL (DownLink) / UL Throughput), downlink / uplink delay (DL / UL Delay), abnormal disconnection rate (ADR (Abnormal disconnection rate)), physical resource block usage rate (PRB (Physical Resource Block) Usage), IMS (IP Multimedia Subsystem) registration success rate, etc. However, KPIs are not limited to these.

[0029] The performance indicators acquired by the base station 200 are transmitted from the base station 200 to the base station monitoring device 100 at predetermined intervals (e.g., every 15 minutes, every hour, every day, etc.) and stored in the storage unit 170. FIG. 3 shows an example of a data table related to performance indicators. As shown in FIG. 3, the performance indicator table TB10 may store, for each base station 200, at least the measurement date and its numerical value for multiple types of performance indicators, including those described above and others. Note that in FIG. 3, "**" may indicate a numerical value. Here, the example of FIG. 3 shows an example in which performance indicators are stored for each base station 200, but the storage format is not limited to this as long as it is possible to determine which base station the performance indicators relate to. Furthermore, the performance indicators may be stored in another storage device (database server) not shown.

[0030] The acquiring unit 111 may acquire the performance indicators directly or indirectly from the base station 200 using a known communication protocol such as Simple Network Management Protocol (SNMP), Secure SHell (SSH), Telnet, or NETCONF / YANG. Indirect acquisition may refer to, for example, a method in which a performance information collecting device (not shown) that collects performance indicators collects the performance indicators from the base station 200, and the acquiring unit 111 acquires the performance indicators from the performance information collecting device. Note that the performance indicators may be calculated by an appropriate method in any of the base station monitoring device 100, the base station 200, or the performance information collecting device (not shown) based on information acquired by the base station 200.

[0031] Referring to FIG. 2, the detection unit 112 detects degradation in the performance index acquired by the acquisition unit 111 over a predetermined period (step S12). Here, the degradation detection process according to one embodiment of the present invention will be described with reference to FIG. 4. FIGS. 4(a) and 4(b) are examples of graphs showing time-series changes in a certain performance index, and FIG. 4(b) shows a state several days after the state shown in FIG. 4(a). Note that the diagram is merely an example, and the graph may differ for each performance index. Also, while the example shown in FIG. 4 illustrates a case where the performance index is acquired every 15 minutes, the present invention is not limited to this. Data may be handled at any interval, such as every half day, every three hours, or every two days. Alternatively, the detection unit 112 may convert the performance index into daily data by, for example, calculating an average value. Note that the degradation detection process may be performed for each base station 200 using each performance index acquired from each base station 200. That is, although FIG. 4 illustrates only one type of performance index, the degradation detection process described below may also be performed for other performance indexes.

[0032] FIG. 4(a) is a graph showing time-series changes in performance indexes acquired up to that point on date "d15," which is the degradation detection processing date. Note that the "detection processing date" may refer to the date on which the detection processing is performed. On the detection processing date "d15," the detection unit 112 may detect degradation that has occurred in the performance indexes using a first group 10 of time-series performance indexes for a past first period T1 and a second group 20 of time-series performance indexes for a second period T2 after the first period T1. Note that, although not limited thereto, the first period T1 (d1 to d7) and the second period T2 (d8 to d14) may each be seven days long.

[0033] Here, the first group 10 of performance indexes for the first time period T1 is a data group under normal conditions in which no degradation is detected. The detection unit 112 may determine whether degradation has occurred during the second time period T2 based on the degree of deviation of the second group 20 of performance indexes for the second time period T2 from the first group 10 of performance indexes. That is, if there is a deviation from a normal state in which no degradation occurs, it may be determined that some degradation has occurred. The degree of deviation may be determined by using an existing statistical test method to determine whether there is a significant difference between the first group 10 and the second group 20 of performance indexes. Specifically, for example, a Z-test, a robust Z-test, a T-test, a Wilcoxon signed-rank test, a Mann-Whitney U-test, or the like may be used. Alternatively, for example, the presence of a predetermined number of days on which the difference between the first group 10 and the second group 20 of performance indexes exceeds a predetermined threshold may be used. Furthermore, degradation detection may be performed using a one-class support vector machine (SVM), which is an unsupervised learning method that derives abnormal values ​​from a specific group of values. However, the degradation detection method is not limited to these.

[0034] When the detection unit 112 detects degradation of a performance index, the restoration processing unit 115 may perform a predetermined restoration process according to the performance index for which degradation has been detected. The restoration process may be an instruction to restart the base station 200, a setting correction, a software reapplication, etc. This allows the restoration process to be performed quickly when it can be performed remotely.

[0035] Alternatively, when degradation of a performance index is detected, notification unit 117 may transmit information about the base station in which degradation of the performance index has been detected to a communication terminal or the like of a management user of base station 200 (not shown). This enables the management user who receives the notification to perform recovery work for base station 200, such as replacing equipment, checking or replacing the connection status of cables, etc. Hereinafter, the base station 200 in which degradation of a performance index has been detected and which is to be the target of recovery processing will also be referred to as a "target base station."

[0036] After the predetermined recovery process is performed, the base station monitoring device 100 may continue monitoring the target base station and determine whether the target base station has recovered, i.e., whether the degradation in the performance index of the target base station has been resolved. Referring to FIGS. 2 and 4(b), the recovery determination unit 113 determines whether the degradation in the performance index of the target base station, which is the base station 200 in which degradation has been detected in its performance index, has been resolved by using a first group 10 of performance indexes acquired over a first period T1 in which degradation was not detected, a second group 20 of performance indexes acquired over a second period T2 in which degradation was detected, and a third group 30 of performance indexes acquired over a third period T3 from the recovery process implementation date, which is the date on which the predetermined recovery process was performed on the target base station after the second period T2 has elapsed (step S13). FIG. 4(b) is a graph showing the time series changes in the performance indexes acquired from the date "d15" when degradation in the performance index was detected and the recovery process was performed until the date "d23," when the third period T3 has elapsed. The third period T3 (d15 to d22) may be seven days, similar to the first period T1 and the second period T2, but is not limited to this.

[0037] The restoration determination process will be described with reference to FIG. 5 . The calculation unit 114 calculates a first difference between the performance index included in the first group 10 in the first period T1 and the performance index included in the third group 30 in the third period T3, and a second difference between the performance index included in the second group 20 in the second period T2 and the performance index included in the third group 30 in the third period T3. FIG. 5( a) is a diagram illustrating the first difference between the performance index included in the first group 10 in the first period T1 and the performance index included in the third group 30 in the third period T3. FIG. 5( b) is a diagram illustrating the second difference between the performance index included in the second group 20 in the second period T2 and the performance index included in the third group 30 in the third period T3. The difference between the performance indexes included in the two groups may be, for example, the difference between the average values ​​of the performance indexes included in each group. That is, the first difference AR1 may be the difference between the average value of the performance indexes included in the first group 10 and the average value of the performance indexes included in the third group 30. Furthermore, the second difference AR2 may be the difference between the average value of the performance indexes included in the second group 20 and the average value of the performance indexes included in the second group 20. Alternatively, the difference between the performance indexes may be, for example, a value (p-value) obtained as a result of a Z-test using the performance indexes included in the two groups. That is, the first difference AR1 may be a value obtained as a result of a Z-test using the performance indexes included in the first group 10 and the performance indexes included in the third group 30. Furthermore, the second difference AR2 may be a value obtained as a result of a Z-test using the performance indexes included in the second group 20 and the performance indexes included in the third group 30.

[0038] The restoration determination unit 116 compares the second difference AR2 with the first difference AR1 and determines that the degree of restoration from the degradation is greater than the degree of degradation, and determines that the degradation has been resolved. Referring to FIG. 5, the first difference AR1 in FIG. 5(a) indicates the degree of degradation from the normal state (first period T1) to the degraded state (second period T2). Since the predetermined restoration process was performed on date "d15," the second difference AR2 in FIG. 5(b) indicates the degree of restoration from the degraded state (second period T2) to the state after the restoration process (third period T3). If the second difference AR2 is greater than the first difference AR1, the restoration determination unit 116 may determine that the degree of restoration exceeds the degree of degradation and that restoration has been achieved.

[0039] In this way, according to one embodiment of the present invention, the performance index after the recovery process is performed is compared with the performance index in the normal state and the performance index in the degraded state, thereby making it possible to appropriately determine whether the recovery process was effective.

[0040] The calculation unit 114 may calculate a predetermined statistical value for each of the first group 10, the second group 20, and the third group 30. The calculation unit 114 may then calculate, as the first difference AR1, the absolute value of the difference between a first statistical value calculated from the performance indexes included in the first group 10 and a third statistical value calculated from the performance indexes included in the third group 30. The calculation unit 114 may then calculate, as the second difference AR2, the absolute value of the difference between a second statistical value calculated from the performance indexes included in the second group 20 and the third statistical value. The predetermined statistical value may be at least one of a Z value, a maximum value, a minimum value, an average value, a median value, and a standard deviation. The restoration determination unit 116 may then determine that the degradation of the performance index has been resolved if the second difference AR2 is greater than the first difference AR1.

[0041] The data distribution format may differ depending on the nature of the performance index and the cause of degradation. In contrast, according to one embodiment of the present invention, recovery decisions are made based on statistical values ​​according to the trends of the performance index, thereby reducing errors in decisions and enabling more accurate decisions.

[0042] If the restoration determination unit 113 determines that the degradation has been resolved, the notification unit 117 may notify the administrative user that the degradation has been resolved. This allows the administrative user to be informed that the degradation of the performance index has been resolved.

[0043] Note that there may be other conditions for determining that degradation has been resolved. This will be explained using FIG. 6 . In one embodiment, the calculation unit 114 may calculate multiple types of statistical values ​​for each of the first group 10, the second group 20, and the third group 30, and calculate a first difference AR1 and a second difference AR2 for each of the multiple types of statistical values. FIG. 6 is an example of a table showing the results of determining whether degradation has been resolved for each of multiple types of statistical values ​​for a certain performance index. Note that in FIG. 6 , “**” indicates a numerical value, “◯” indicates that degradation has been resolved, and “×” indicates that degradation has not been resolved. The restoration determination unit 113 may determine that degradation of the performance index has been resolved if a predetermined number or more of the multiple types of statistical values ​​have the second difference AR2 greater than the first difference AR1. Here, the multiple types of statistical values ​​may be the Z value, maximum value, minimum value, average value, median, and standard deviation, as described above. The predetermined number may be, but is not limited to, "4," and if the second difference AR2 is greater than the first difference AR1 for four or more of the six statistical values, it may be determined that the degradation of the performance index has been resolved. In the example of FIG. 6, it is determined that the degradation of the performance index has been resolved for four performance indexes, namely the Z value, the maximum value, the average value, and the standard deviation. That is, it is determined that the second difference is greater than the first difference for the four performance indexes. In this case, it may be determined that the degradation of the performance index has been resolved for the target base station.

[0044] The predetermined number is not limited to 4. The predetermined number may also be set according to the number of statistical values ​​used for the determination.

[0045] The data distribution format may vary depending on the characteristics of the performance index and the cause of the degradation. In contrast, according to one embodiment of the present invention, various statistical values ​​are calculated, and a recovery determination is made for each statistical value. Furthermore, a comprehensive determination of the elimination of degradation is made based on the number of statistical values ​​for which the degradation is determined to have been resolved. This reduces the risk of erroneous determination, enabling more accurate determination.

[0046] The process performed when it is determined that the degradation of the performance index has not been resolved will be described with reference to FIG. 7. FIG. 7 illustrates the transition of the performance index after the third period T3 has elapsed and the fourth period T4 has elapsed. The fourth period T4 (d23 to d30) may be, but is not limited to, seven days. In FIG. 7, assume that a recovery determination is performed on date "d22" after the third period T3 has elapsed, and the degradation of the performance index has not been resolved, so a predetermined recovery process is performed again. In this case, the recovery determination process may be performed on date "d30" after the fourth period T4 has elapsed. In this case, the first difference AR1 described above may be the difference between the first group 10 in the first period T1, in which no degradation is detected, and the fourth group 40 in the fourth period T4. The second difference AR2 may be the difference between the performance index included in the third group 30 in the third period T3 and the performance index included in the fourth group 40 in the fourth period T4. In other words, the first group 10 may continue to be used as data in a normal state.

[0047] The status determination unit 116 may determine the status of the base station 200 based on the performance indicators. For example, in the operation of a base station, it may not be necessary to strictly require all performance indicators to be normal. Therefore, the status of the base station may be determined by defining a status in which there is no problem with the operation of the base station as "normal" and a status in which there is a problem with the operation of the base station as "abnormal."

[0048] This will be explained using FIG. 7. As described above, the acquiring unit 111 may acquire multiple types of performance indicators. FIGS. 7(a) and 7(b) are tables showing whether or not the degradation has been resolved for multiple performance indicators for the base stations 200A and 200B after a predetermined recovery process has been performed, for which degradation has been determined to have occurred. In tables TB30 and TB31, "◯" indicates that the degradation has been resolved, and "×" indicates that the degraded state continues. For a target base station in which degradation has been detected in at least two or more of multiple types of performance indicators, the state determining unit 116 may determine that the target base station is in a normal state if the degradation has been resolved for all of the performance indicators in which degradation was detected. For example, the base station 200 may be determined to be in a normal state if it is determined that the degradation has been resolved for all of the four types of KPIs, "KPI_1," "KPI_2," "KPI_3," and "KPI_4." In this case, in the example of FIG. 7, base station A is determined to be abnormal, and base station B is determined to be normal.

[0049] As described above, according to one embodiment of the present invention, when degradation of a performance index occurs, it is determined whether the degradation of the performance index has been resolved and also the state of base station 200. Then, when all degradation of the performance index that has occurred has been resolved, it may be determined that there is no abnormality in the base station. This enables more stable operation of the base station.

[0050] The conditions for determining whether base station 200 is normal are not limited to those described above. For example, in a target base station in which degradation has been detected in at least two or more of a plurality of performance indexes, the state determining unit 116 may determine that the target base station is in a normal state if degradation has been eliminated in a predetermined percentage or more of the performance indexes in which degradation was detected. For example, when it is determined that degradation has been eliminated in two types of KPIs, "KPI_1" and "KPI_3", out of degradation that occurred in four types of KPIs, "KPI_1", "KPI_2", "KPI_3", and "KPI_4", the base station 200 may be determined to be in a normal state.

[0051] As described above, according to one embodiment of the present invention, when degradation of a performance index occurs, it is determined whether the degradation of the performance index has been resolved and also the state of base station 200. Then, depending on the operating conditions of the base station, it may be determined that there is no abnormality in the base station even if the degradation of the performance index continues. This reduces the effort and time required to restore the base station.

[0052] Although the present invention has been described based on the drawings and examples, it should be noted that those skilled in the art would easily be able to make various modifications and alterations based on this disclosure. Therefore, it should be noted that these modifications and alterations are within the scope of the present invention. For example, the functions included in each component, step, etc. can be rearranged so as not to cause logical inconsistencies, and multiple components, steps, etc. can be combined into one or divided. Furthermore, the configurations shown in the above embodiments may be combined as appropriate.

[0053] For example, as described above, if the ratio of performance indicators that continue to deteriorate after the recovery process is equal to or less than a predetermined value relative to all performance indicators that have deteriorated, the base station may be determined to be in a normal state. However, important performance indicators may be defined in advance, and if deterioration occurs in the performance indicators, the base station may be determined to be in an abnormal state.

[0054] The programs of the embodiments of the present disclosure may be provided in a state stored in a storage medium readable by an information processing device. The storage medium may store the programs in a "non-transitory tangible medium." The programs include, for example, software programs and information processing device programs. When the functional units of the base station monitoring device 100 as an information processing device are realized by software, the base station monitoring device 100 functions as an acquisition unit 111, a detection unit 112, a recovery determination unit 113, a calculation unit 114, a recovery processing unit 115, a state determination unit 116, and a notification unit 117 by the processor executing the programs loaded on the memory.

[0055] The storage medium may, where appropriate, include one or more semiconductor-based or other integrated circuits (ICs) (e.g., field programmable gate arrays (FPGAs), application specific ICs (ASICs), etc.), hard disk drives (HDDs), hybrid hard drives (HHDs), optical disks, optical disk drives (ODDs), magneto-optical disks, magneto-optical drives, floppy diskettes, floppy disk drives (FDDs), magnetic tapes, solid state drives (SSDs), RAM drives, secure digital cards or drives, any other suitable storage media, or any suitable combination of two or more of these. The storage medium may, where appropriate, be volatile, non-volatile, or a combination of volatile and non-volatile.

[0056] The program of the present disclosure may be provided to the base station monitoring device 100 via any transmission medium (such as a communication network or broadcast waves) capable of transmitting the program.

[0057] Furthermore, each embodiment of the present disclosure may be realized in the form of a data signal embedded in a carrier wave, in which a program is embodied by electronic transmission. Note that the program of the present disclosure may be implemented using, for example, a scripting language such as JavaScript (registered trademark) or Python (registered trademark), C language, Go language, Swift (registered trademark), Koltin, Java (registered trademark), or the like.

[0058] According to each aspect of the present disclosure described above, by providing technology related to KPI monitoring for network technologies beyond 5G and technology for improving communication quality, it is possible to contribute to the achievement of Goal 9 of the Sustainable Development Goals (SDGs), which is to "build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation." [Explanation of symbols]

[0059] 100 Base station monitoring equipment 110 control section 111 Acquisition Department 112 Detection unit 113 Recovery Determination Unit 114 Calculation Unit 115 Recovery Processing Unit 116 Status determination unit 117 Notification Department 200(200A,200B,200C) base station 500 Network 600 Base Station Monitoring System

Claims

1. an acquisition unit that acquires a performance index indicating the performance of the base station in time series; a detector for detecting degradation in the performance index acquired over a predetermined period of time; a restoration determination unit that determines whether the degradation of the performance index has been resolved for a target base station that is a base station in which the degradation has been detected in the performance index, using a first group of the performance indexes acquired over a first period in which the degradation has not been detected, a second group of the performance indexes acquired over a second period in which the degradation has been detected, and a third group of the performance indexes acquired over a third period from a restoration processing implementation date that is a day on which a predetermined restoration processing has been implemented for the target base station after the second period has elapsed; A base station monitoring device comprising:

2. a calculation unit that calculates a first difference between the performance index included in the first group and the performance index included in the third group, and a second difference between the performance index included in the second group and the performance index included in the third group, the restoration determination unit determines that the degradation has been resolved when, as a result of comparing the second difference with the first difference, a degree of restoration from the degradation is greater than a degree of the degradation.

2. The base station monitoring device according to claim 1.

3. the calculation unit calculates predetermined statistical values ​​for each of the first group, the second group, and the third group, and calculates, as the first difference, an absolute value of a difference between a first statistical value calculated from the performance indicators included in the first group and a third statistical value calculated from the performance indicators included in the third group, and calculates, as the second difference, an absolute value of a difference between a second statistical value calculated from the performance indicators included in the second group and the third statistical value; the restoration determination unit determines that the degradation of the performance index has been resolved when the second difference is greater than the first difference; 3. The base station monitoring device according to claim 2.

4. the calculation unit calculates a plurality of types of statistical values ​​for each of the first group, the second group, and the third group, and calculates the first difference and the second difference for each of the plurality of types of statistical values; the restoration determination unit determines that the degradation of the performance index has been resolved when a predetermined number of the plurality of types of statistical values ​​have the second difference greater than the first difference.

4. The base station monitoring device according to claim 3.

5. the restoration determination unit determines whether the degradation of the performance index has been resolved when the third period has elapsed since the restoration process was implemented.

2. The base station monitoring device according to claim 1.

6. the calculation unit calculates at least one of a Z value, a maximum value, a minimum value, an average value, a median value, and a standard deviation as the predetermined statistical value; 5. The base station monitoring device according to claim 3 or 4.

7. a recovery processing unit that performs a predetermined recovery process on the target base station according to the performance index in which the degradation is detected, 2. The base station monitoring device according to claim 1.

8. a notification unit that, when a degradation in the performance index is detected, notifies information about a target base station that is a base station in which the degradation is detected, and, when it is determined that the degradation has been resolved, notifies that the degradation has been resolved; 2. The base station monitoring device according to claim 1.

9. a state determination unit that determines a state of the base station based on the performance index, the acquisition unit acquires a plurality of types of performance indexes, the state determination unit determines that the target base station is in a normal state when degradation has been detected in at least two or more of the plurality of types of performance indicators and the degradation has been eliminated in all of the performance indicators in which degradation has been detected, 2. The base station monitoring device according to claim 1.

10. a state determination unit that determines a state of the base station based on the performance index, the acquisition unit acquires a plurality of types of performance indexes, the state determination unit determines that the target base station is in a normal state when, in a target base station in which degradation has been detected in at least two or more of the plurality of types of performance indexes, the degradation has been eliminated in a predetermined proportion or more of the performance indexes in which the degradation has been detected; 2. The base station monitoring device according to claim 1.

11. The base station monitoring device acquiring a performance index indicating the performance of the base station in time series; detecting any degradation in the performance indicators acquired over a period of time; a step of determining whether or not the degradation of a performance index has been resolved for a target base station, which is a base station in which the degradation has been detected in the performance index, using a first group of the performance indexes acquired over a first period in which the degradation has not been detected, a second group of the performance indexes acquired over a second period in which the degradation has been detected, and a third group of the performance indexes acquired over a third period from a recovery processing implementation date, which is the date on which a predetermined recovery processing has been implemented for the target base station, after the second period has elapsed; A method for controlling a base station monitoring device.

12. The base station monitoring device A function to acquire performance indicators showing the performance of the base station over time, detecting any degradation in the performance indicators acquired over a predetermined period of time; a function of determining whether the degradation of a performance index of a target base station, which is a base station in which the degradation has been detected, has been resolved by using a first group of the performance indexes acquired over a first period in which the degradation has not been detected, a second group of the performance indexes acquired over a second period in which the degradation has been detected, and a third group of the performance indexes acquired over a third period from a recovery processing implementation date, which is the date on which a predetermined recovery processing has been implemented for the target base station, after the second period has elapsed; A control program for a base station monitoring device that realizes the above.

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