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

Abstract

Determine a base station with a more serious abnormality among base stations where different types of quality indicators with detected abnormalities are present. 【Solution means】The base station monitoring device includes an acquisition unit that acquires values of a plurality of types of performance indicators indicating the performance of a plurality of base stations, a detection unit that detects the presence or absence of deterioration in the performance indicators, an extraction unit that extracts a target base station that is a base station in which deterioration is detected in at least one of the plurality of types of performance indicators, a ranking unit that ranks a plurality of target base stations in which deterioration is detected in the respective performance indicators based on the degree of deterioration, and a calculation unit that calculates an evaluation value based on the ranking set for the target base station for each of the plurality of target base stations.

Description

Technical Field

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

Background Art

[0002] Conventionally, traffic flowing through a communication network has been monitored, and the applicant has been working on providing a communication monitoring device or the like that can detect abnormalities in a radio access network and identify the causes thereof (for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] As an example of detecting an abnormality in a radio access network, the communication quality of a base station constituting the radio access network is monitored. Here, since there are a large number of types of quality indicators to be monitored that indicate the communication quality of the base station, the types of quality indicators detected as abnormal at one base station and those detected as abnormal at another base station may be different. Thus, it is required to determine a base station with a more serious degree of abnormality among base stations where the types of quality indicators detected as abnormal are different. However, the calculation methods and definitions may be different for each quality indicator, and it has been difficult to simply compare the quality indicators detected as abnormal.

Means for Solving the Problems

[0005] A base station monitoring device according to an embodiment of the present disclosure includes: an acquisition unit that acquires values of a plurality of types of performance indicators indicating the performance of a plurality of base stations; a detection unit that detects the presence or absence of degradation in the performance indicators; an extraction unit that extracts a target base station that is a base station in which degradation is detected in at least one of the plurality of types of performance indicators; a ranking unit that ranks the plurality of target base stations in which degradation is detected for each of the plurality of types of performance indicators based on the degree of degradation; and a calculation unit that calculates an evaluation value based on the rank set for the target base station for each of the plurality of target base stations.

[0006] In the base station monitoring device according to an embodiment of the present disclosure, the extraction unit may extract, as target base stations, a first base station in which degradation is detected in a first performance indicator and a second base station in which degradation is detected in a second performance indicator different from the first performance indicator.

[0007] In the base station monitoring device according to an embodiment of the present disclosure, the extraction unit may extract, as target base stations, a first base station in which degradation is detected based on a first detection method and a second base station in which degradation is detected based on a second detection method different from the first detection method.

[0008] In the base station monitoring device according to an embodiment of the present disclosure, the acquisition unit may acquire values of performance indicators with a group of base stations existing within a predetermined area as the plurality of base stations.

[0009] In the base station monitoring device according to an embodiment of the present disclosure, the detection unit may detect the presence or absence of degradation in the performance indicators by a detection method according to the tendency of change in the time series of the values of the performance indicators.

[0010] In the base station monitoring device according to an embodiment of the present disclosure, the calculation unit may calculate the evaluation value based on the number of performance indicators in which degradation is detected in the target base station, the rank set by the ranking unit, and a predetermined weighting factor.

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

[0012] In the base station monitoring device according to an embodiment of the present invention, the detection unit detects the presence or absence of degradation based on the values of the performance indicators acquired in time series over a predetermined period, and the ranking unit may use, as the degree of degradation, the statistical value of the values of the performance indicators for which degradation has been detected over a predetermined period.

[0013] The base station monitoring device according to an embodiment of the present invention may further include a notification unit that outputs information regarding the evaluation value of the target base station.

[0014] A control method for a base station monitoring device according to an embodiment of the present disclosure includes steps in which the base station monitoring device acquires values of a plurality of types of performance indicators indicating the performance of the base station for a plurality of base stations, detects the presence or absence of degradation in the performance indicators, extracts a target base station that is a base station in which degradation has been detected in at least one of the plurality of types of performance indicators, ranks, for each of the plurality of types of performance indicators, the plurality of target base stations in which degradation has been detected in the performance indicator based on the degree of degradation, and calculates, for each of the plurality of target base stations, an evaluation value based on the rank set for the target base station.

[0015] A control program for a base station monitoring device according to an embodiment of the present disclosure causes the base station monitoring device to realize functions of acquiring values of a plurality of types of performance indicators indicating the performance of the base station for a plurality of base stations, detecting the presence or absence of degradation in the performance indicators, extracting a target base station that is a base station in which degradation has been detected in at least one of the plurality of types of performance indicators, ranking, for each of the plurality of types of performance indicators, the plurality of target base stations in which degradation has been detected in the performance indicator based on the degree of degradation, and calculating, for each of the plurality of target base stations, an evaluation value based on the rank set for the target base station.

Brief Description of the Drawings

[0016]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Embodiments for Carrying Out the Invention

[0017] Hereinafter, an embodiment of the invention according to the present disclosure (also referred to as the present invention) will be described with reference to the drawings. Note that the drawings are examples, and the present invention is not limited to those shown in the drawings. For example, the number of illustrated base station monitoring apparatuses (servers) and base stations, graphs, data sets (tables), and flowcharts are examples, and the present invention is not limited thereto.

[0018] 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 the base station 200 to which a communication terminal (not shown) is connected is monitored and managed by the base station monitoring device 100. In FIG. 1, three base stations (200A, 200B, 200C) are shown, but there may be more base stations. Hereinafter, when there is no need to distinguish between base stations, they are simply shown as the base station 200. The base station monitoring device 100 acquires performance indicators indicating the performance of each base station 200 (200A, 200B, 200C) transmitted from a plurality of base stations 200 (200A, 200B, 200C) via a network 500 (including a radio access network (RAN) and a core network). The performance indicator is a KPI (Key Performance Indicator) that standardizes the quality such as communication stability and reliability within the cell (radio wave range) formed by the base station 200 (200A, 200B, 200C), and can vary due to maintenance work, failures in the base station 200, or increases or decreases in the number of communication terminals located within the cell, increases or decreases in communication traffic by the terminals located within the cell, etc. That is, the base station monitoring device 100 can monitor abnormalities that may occur at the cell level of the base station 200 by monitoring the KPI. Hereinafter, the performance indicator and the KPI are used synonymously.

[0019] The network 500 may include at least any one of a wireless LAN (WLAN), a wide area network (WAN), LTE (long term evolution), LTE-Advanced, 4th generation communication (4G), 5th generation communication (5G), and mobile communication systems after 6th generation communication (6G). The radio access network 500 may be, for example, a public switched telephone network (PSTN), a satellite communication network, a private network, etc. Also, the network 500 may be a combination of these.

[0020] The base station monitoring device 100 can be any information processing device that can execute various processes related to the monitoring of the base station 200. For example, it may be a server. In FIG. 1, only one base station monitoring device 100 is shown, but it is not limited to this. That is, each function described hereinafter as being provided in the base station monitoring device 100 may be realized by a plurality of servers. Further, the base station monitoring device 100 may be, for example, a distributed server system that cooperates by communicating via a network, or a so-called cloud server. That is, the base station monitoring device 100 is not limited to a physical server, and may include a virtual server by software.

[0021] Next, the hardware configuration and functional configuration of the base station monitoring device 100 according to an embodiment of the present invention will be described with reference to FIG. 1. The base station monitoring device 100 may include a control unit 110, a communication unit 120, an input / output unit 130, and a storage unit 170 as a hardware configuration. Although not shown, the base station monitoring device 100 may appropriately include a configuration provided in a general server.

[0022] The 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), or the like. The control unit 110 may read a program stored in the storage unit 170 and execute the code or instructions included in the read program to execute the functions and methods shown in each embodiment.

[0023] The storage unit 170 stores (holds) various programs and various data necessary for the operation of the base station monitoring device 100. For example, the storage unit 170 may store the quality data received from the base station 200. The storage unit 170 may include, for example, an HDD (Hard Disk Drive), an SSD (Solid State Drive), a flash memory, etc. Further, the storage unit 170 may include a memory that provides a working area for the control unit 110.

[0024] The communication unit 120 may be implemented as hardware such as a NIC (Network Interface Card), communication software, or a combination thereof. The communication unit 120 may transmit and receive information between the base station monitoring device 100 and other devices. For example, it may receive data necessary for monitoring the base station 200 from other servers or storage devices (not shown), or transmit data related to the monitoring of the base station 200 to a terminal of an administrator (not shown).

[0025] The input / output unit 130 may include an input device (such as a touch panel, a keyboard, etc.) for inputting various operations to the base station monitoring device 100, and an output device (such as a touch panel, a speaker, etc.) for outputting the processing results processed by the base station monitoring device 100. The input device and the output device may be installed in a monitoring center (not shown) for remotely monitoring the base station 200 to receive operations from a monitor (administrator) or output various information to the monitor.

[0026] Next, the functional configuration of the base station monitoring device 100 will be described. As functions realized by the control unit 110, the base station monitoring device 100 may include an acquisition unit 111, a detection unit 112, an extraction unit 113, a ranking unit 114, a calculation unit 115, and a notification unit 116. In FIG. 1, functional units that are not essential in each of the embodiments described hereinafter may not be present. Further, the functions or processes of each functional unit may be realized by machine learning or AI (Artificial Intelligence) within the achievable range.

[0027] Hereinafter, an embodiment of the present invention will be described with reference to FIGS. 2 to 6 together with the description of each functional unit of the base station monitoring device 100.

[0028] FIG. 2 is a flowchart showing an example of processing by the base station monitoring device 100 according to an embodiment. First, the acquisition unit 111 acquires values of a plurality of types of performance indicators indicating the performance of the plurality of base stations 200 for the plurality of base stations 200 (step S11). The performance indicator is a KPI that standardizes the quality within the radio wave range of the base station 200, and the base station monitoring device 100 may acquire a plurality of types of KPIs from each base station 200. There are hundreds to thousands of types of KPIs indicating the quality of the base station 200, and they may indicate connection rate, number of connections, throughput, traffic, interference, downtime, block error rate, etc. For example, as KPIs, the received signal strength and signal-to-interference-plus-noise ratio of the uplink shared channel / control channel (UL (UpLink) RSSI (Received Signal Strength Indicator) PUSCH / PUCCH, UL SINR (Signal to Inter-ference plus Noise Ratio) PUSCH / PUCCH), the setup success rate of the random access channel (RACH (Random Access CHannel) Setup Success Rate), the success rate of handover, the re-establishment rate of the RRC connection (RRC (Radio Resource Control) RE-Establishment Attempt), the downlink / uplink throughput (DL(DownLink) / UL Throughput), the downlink / uplink delay (DL / UL Delay), the abnormal disconnection rate (ADR (Abnormal disconnection rate)), the usage rate of physical resource blocks (PRB (Physical Resource Block) Usage), the IMS (IP Multimedia Subsystem) registration success rate, etc. may be used. Note that the 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 (for example, every 15 minutes, every hour, every day, etc.) and stored in the storage unit 170. FIG. 3 shows an example of a data table regarding the performance indicators. As shown in FIG. 3, in the performance indicator table TB10, for each base station 200, at least the measurement date and its numerical value may be stored for a plurality of types of performance indicators including, for example, those described above and others. Note that in FIG. 3, "**" may indicate a numerical value. Here, in the example of FIG. 3, an example of storing performance indicators for each base station 200 is shown, but the storage format is not limited to this as long as it is possible to determine which base station the performance indicator data relates to. Also, the performance indicators may be stored in another storage device (database server) not shown. Note that the performance indicators stored in the performance indicator table TB10 may be stored as time-series data associated with date and time information for each performance indicator.

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

[0031] Referring to FIG. 2, the detection unit 112 detects the presence or absence of deterioration in the performance index (step S12). The detection unit 112 may detect the presence or absence of deterioration based on the values of the performance index obtained in time series over a predetermined period. Here, with reference to FIG. 4, the deterioration detection process according to an embodiment of the present invention will be described. FIG. 4 is an example of a graph showing the time-series change of a certain performance index. Note that the figure is an example, and the graph may be different for each performance index. Also, in the example of FIG. 4, for example, the case where the performance index is acquired every 15 minutes is shown, but the present invention is not limited to this, and data may be handled at arbitrary intervals such as every half day, every 3 hours, or every 2 days. Alternatively, the detection unit 112 may convert the performance index into daily data by calculating the average value or the like. Note that the deterioration detection process may be performed for each base station 200 using each performance index acquired from each base station 200. That is, although only one type of performance index is shown in FIG. 4, the deterioration detection process described below may also be performed for other performance indexes.

[0032] FIG. 4 is a graph showing the time-series change of the performance index acquired so far on the date "d15" which is the deterioration detection process date. Note that the "detection process date" may refer to the date on which the detection process is performed. The detection unit 112 may detect the deterioration that has occurred in the performance index using the first group 10 of the time-series performance index in the past first period T1 and the second group 20 of the time-series performance index in the second period T2 after the first period T1 on the detection process date "d15". Note that although not limited thereto, the first period T1 (d1 to d7) and the second period T2 (d8 to d14) may each be 7 days.

[0033] Here, the first group 10 of performance indicators in the first period T1 is a group of normal data where no deterioration has been detected. The detection unit 112 may determine the presence or absence of deterioration in the second period T2 according to the degree of deviation of the second group 20 of performance indicators in the second period T2 from the first group 10 of performance indicators. That is, if it deviates from the normal state where no deterioration has occurred, it may be determined that some deterioration has occurred. As the determination of the degree of deviation, it may be performed 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 indicators. Specifically, for example, it may be a Z-test, a robust Z-test, a T-test, a Wilcoxon signed-rank sum test, a Mann-Whitney U-test, etc. Alternatively, for example, it may be that there are a predetermined number or more days in which the difference between the first group 10 and the second group 20 of performance indicators exceeds a predetermined threshold value, etc.

[0034] Note that the detection unit 112 may detect the presence or absence of deterioration in the performance indicator by a detection method according to the tendency of the change in the time series of the value of the performance indicator. For example, when the value of the KPI changes significantly from the normal time when deterioration occurs, the above-mentioned Z-test or the like can be used. On the other hand, there may be a case where an abnormal state continues and no significant change is seen in the value of the KPI. For the detection of deterioration in such a case, One Class SVM (Support Vector Machine), which is an unsupervised learning for deriving abnormal values from a specific group of numerical values, may be used. Note that the detection method of deterioration is not limited to these.

[0035] Thus, according to an embodiment of the present invention, deterioration is detected by a method suitable for the nature of the performance indicator. Therefore, deterioration can be detected for various types of performance indicators.

[0036] In addition, when deterioration of the performance index is detected, the notification unit 116 may transmit information regarding the base station in which deterioration of the performance index is detected to a communication terminal or the like of a management user (not shown) of the base station 200. Thereby, the management user who has received the notification can perform equipment replacement, confirmation of the connection state of cables, etc. as recovery work for the base station 200.

[0037] Returning to FIG. 2, the extraction unit 113 extracts a target base station that is a base station in which deterioration is detected in at least one of a plurality of types of performance indexes (step S13). FIG. 5 is an example of a table regarding the base station extracted as the target base station. In the table TB20, "×" indicates that deterioration has been detected in that KPI. As shown in the table TB20, the target base stations extracted by the extraction unit 113 include a first base station in which deterioration is detected in the first performance index and a second base station in which deterioration is detected in a second performance index different from the first performance index. That is, the extraction unit 113 may extract, as the target base stations, a first base station in which deterioration is detected in the first performance index and a second base station in which deterioration is detected in a second performance index different from the first performance index. For example, the extraction unit 113 may extract, as the target base stations, a base station in which deterioration is detected in the KPI regarding the connection rate and another base station in which deterioration is detected in the KPI regarding the downtime. In other words, the base station extracted by the extraction unit 113 as the target base station does not necessarily have to be a base station in which deterioration is detected in a certain type of KPI, and may be a base station in which some deterioration is detected in any of the KPIs regarding the base station.

[0038] In the example of Fig. 5, the base stations A and B are detected to be degraded in at least five types of KPIs, namely, "KPI_1", "KPI_2", "KPI_3", "KPI_4", and "KPI_5". Also, the base station C is detected to be degraded in at least four types of KPIs, namely, "KPI_1", "KPI_2", "KPI_4", and "KPI_5". Furthermore, the base station D is detected to be degraded in at least three types of KPIs, namely, "KPI_1", "KPI_4", and "KPI_5". Also, the base station E is detected to be degraded in at least three types of KPIs, namely, "KPI_2", "KPI_3", and "KPI_4". Also, the base station F is detected to be degraded in at least three types of KPIs, namely, "KPI_3", "KPI_4", and "KPI_5".

[0039] Also, in the table TB20 of Fig. 5, the "method" indicates the detection method used for detecting degradation, and may be, for example, the above-mentioned Z-test, robust Z-test, unsupervised learning, etc. The extraction unit 113 may extract, as the target base stations, a first base station in which degradation is detected based on a first detection method and a second base station in which degradation is detected based on a second detection method different from the first detection method. In the example of Fig. 5, it shows that different detection methods were used for detecting degradation in "KPI_1", such as "method P" for base station A, "method Q" for base stations B and C, and "method T" for base station D. Note that the detection method is not limited to two, and there may be more.

[0040] Thus, when the types of KPIs in which degradation is detected are different from each other, the severity of degradation cannot be compared between base stations. Also, when the detection method of degradation differs depending on the type of KPI, a simple comparison of the severity of degradation cannot be made. Therefore, when degradation is detected in a plurality of base stations, it is impossible to determine which base station should be prioritized for response.

[0041] In response to the above problem, the ranking unit 114 may rank a plurality of target base stations in which degradation is detected for each of a plurality of types of performance indicators based on the degree of degradation (step S14). The ranking according to an embodiment of the present invention will be described with reference to FIGS. 5 and 6.

[0042] FIG. 6 is a schematic diagram for explaining the ranking. When ranking the target base stations, the ranking unit 114 may use, as the degree of degradation, a statistical value over a predetermined period of the value of the performance indicator in which degradation is detected. For example, as shown in the table TB20 of FIG. 5, degradation has been detected for the KPIs of "KPI_1" at base stations A, B, C, and D. At this time, the ranking unit 114 may rank base stations A, B, C, and D using, as the statistical value over the predetermined period (for example, the second period T2 in FIG. 4) used for detecting the degradation, for example, the average value of "KPI_1" in the period T2 of each of base stations A, B, C, and D. As a result, the ranking may be as shown in the table TB30 of FIG. 6. Note that the statistical value is not limited to this, and the worst value, the best value, the median, the standard deviation, etc. may be used. Thereby, it becomes possible to make a determination according to the variation tendency of the KPI over time.

[0043] According to an embodiment of the present invention, the ranking may be made such that the more serious the degradation is, the higher the rank. That is, for example, when the average value is used as the statistical value, the base station with a worse (more advanced degradation) average value of "KPI_1" in the period T2 is ranked higher. In the examples of FIGS. 5 and 6, regarding "KPI_1", it can be seen that the order is base stations D, A, B, and C from the one with the largest degree of degradation. The same ranking is made for other KPIs as well.

[0044] Referring to FIG. 2, the calculation unit 115 calculates an evaluation value for each of a plurality of target base stations based on the rank set for the target base station (step S15). As described above, the evaluation value may be a numerical value that enables relative comparison when the types of KPIs for which degradation is detected and the detection methods for degradation differ among a plurality of base stations and the severity of degradation between base stations cannot be simply compared. That is, the evaluation value may be an index that enables comprehensive judgment. The calculation unit 115 may calculate the evaluation value based on the number of performance indicators for which degradation is detected in the target base station, the rank set by the ranking unit 114, and a predetermined weighting factor.

[0045] Specifically, the calculation unit 115 may calculate the evaluation value for each base station 200 using the following formula. Evaluation value = sum of ranks of KPIs for which degradation is detected / (number of KPIs for which degradation is detected × weighting factor) 2 Note that the weighting factor may be, for example, "1", but is not limited thereto. Also, in one embodiment of the present invention, since the ranking is such that the greater the severity of degradation, the higher the rank, the smaller the evaluation value, the greater the severity of degradation.

[0046] The calculation of the evaluation value will be described with reference to FIG. 6 as an example. For base station A, degradation is detected for five types of KPIs, namely, "KPI_1", "KPI_2", "KPI_3", "KPI_4", and "KPI_5", and the respective ranks are "2", "4", "2", "3", and "2". Therefore, the evaluation value of base station A is (2 + 4 + 2 + 3 + 2) / (5 × 1) 2 = 0.52 (assuming the weighting factor = 1). Similarly, the evaluation values of base stations B, C, D, and E are calculated as shown in FIG. 6. Since the smaller the evaluation value, the greater the severity of degradation, among base stations A to E, which are the target base stations for which degradation has been detected in the KPIs, when arranged in descending order of the severity of degradation, it is base station C, base station A, base station D and base station E, base station B, base station F.

[0047] Thus, according to one embodiment of the present invention, even when the types of KPIs for which degradation is detected and the detection methods for degradation differ between a plurality of base stations and the severity of degradation between the base stations cannot be simply compared, relative comparison between the base stations becomes possible. Further, since the evaluation value is calculated by a simple calculation formula based on the number of KPIs for which degradation is detected and the ranked order, there is an advantage that no processing load is required.

[0048] Here, when degradation of a KPI is detected in a plurality of base stations, there may be a case where it is desired to preferentially restore a base station that has a greater impact on users who use terminals connected to the base station in which the degradation is detected. However, the magnitude of the impact on users may not be determined solely by the degree of degradation of the KPI. Specifically, when there are a base station A that accommodates an average of 100 users and a base station B that accommodates an average of 10,000 users, and the KPI degrades by 10% in base station A and the same KPI degrades by 1% in base station B, it may be said that the degree of impact on users is greater for base station B. More specifically, this is the case where the detected degraded KPI is, for example, the RACH success rate, the IMS registration success rate, or the attach success rate. In such a case, in base station A, 10 users are affected, whereas in base station B, 100 users are affected, and base station B, which has a smaller degree of degradation, has a greater impact on users.

[0049] In such a case, in calculating the evaluation value, in addition to the KPI for which degradation is detected, for example, the average number of user connections and the maximum number of user connections may be included in the calculation. Alternatively, the average throughput and the maximum throughput may be used.

[0050] Assuming that the detected degraded KPI is "KPI_1", the average number of user connections is "KPI_2", and the maximum number of user connections is "KPI_3", in base station A, KPI_1 is "1", KPI_2 is "2", and KPI_3 is "2". In base station B, the respective rankings are KPI_1 is "2", KPI_2 is "1", and KPI_3 is "1". Therefore, the evaluation value of base station A is (1 + 2 + 2) / (3 × 1)2 is approximately 0.56, and the evaluation value of base station B is (2 + 1 + 1) / (3×1) 2 is approximately 0.44, the evaluation value of base station B is small, and the severity of degradation is large.

[0051] Thus, according to an embodiment of the present invention, even when degradation occurs in a plurality of base stations with different scales of accommodated users, it is possible to determine which severity is greater.

[0052] Note that the notification unit 116 may output information regarding the evaluation value of the target base station to a terminal of a monitor (not shown) or the like. Thereby, the monitor can determine which base station among the base stations 200 where degradation has been detected should be prioritized for handling.

[0053] Note that the plurality of base stations 200 for comparing the severity of degradation may be a group of base stations existing within a predetermined area. Note that the predetermined area may be, for example, a divided area such as a prefecture or a municipality. Alternatively, the plurality of base stations 200 may be set for each telecommunications carrier that provides the base station 200. Thereby, flexible monitoring can be performed according to the requirements of the management operator of the base station 200 and in accordance with the necessity of region-limited monitoring and the like.

[0054] Although the present invention has been described based on the drawings and embodiments, it should be noted that those skilled in the art can easily make various modifications and corrections based on the present disclosure. Therefore, it should be noted that these modifications and corrections are included in the scope of the present invention. For example, the functions included in each component, each step, etc. can be rearranged so as not to be logically contradictory, and a plurality of components and steps, etc. can be combined into one or divided. Also, the configurations shown in the above embodiments may be appropriately combined.

[0055] For example, in the above description, an aspect in which ranking is performed so that the more serious the deterioration, the higher the rank is shown. However, ranking may be performed so that the more serious the deterioration, the lower the rank. In that case, it may be determined that the greater the calculated evaluation value, the more serious the deterioration.

[0056] The program of each embodiment of the present disclosure may be provided in a state stored in a storage medium readable by an information processing apparatus. The storage medium can store the program in a "non-transitory tangible medium". The program includes, for example, a software program or an information processing apparatus program. When each functional unit of the base station monitoring apparatus 100 as an information processing apparatus is realized by software, the base station monitoring apparatus 100 functions as an acquisition unit 111, a detection unit 112, an extraction unit 113, a ranking unit 114, a calculation unit 115, and a notification unit 116 by executing a program loaded onto a memory by a processor.

[0057] When appropriate, the storage medium can 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 disks, floppy disk drives (FDDs), magnetic tapes, solid state drives (SSDs), RAM drives, secure digital cards or drives, any other appropriate storage medium, or any suitable combination of two or more of these. When appropriate, the storage medium may be volatile, non-volatile, or a combination of volatile and non-volatile.

[0058] Also, the program of the present disclosure may be provided to the base station monitoring apparatus 100 via any transmission medium (such as a communication network or a broadcast wave) capable of transmitting the program.

[0059] In addition, each embodiment of the present disclosure can also be realized in the form of a data signal embedded in a carrier wave, in which the program is embodied by electronic transmission. The program of the present disclosure may be implemented using, for example, script languages such as JavaScript (registered trademark), Python (registered trademark), C language, Go language, Swift (registered trademark), Koltin, Java (registered trademark), etc.

[0060] According to each aspect of the present disclosure described above, by providing a technology related to KPI monitoring for network technologies after 5G, it is possible to contribute to the achievement of Goal 9 of the Sustainable Development Goals (SDGs), "Build the infrastructure for industry and technological innovation".

Description of Reference Numerals

[0061] 100 Base Station Monitoring Device 110 Control Unit 111 Acquisition Unit 112 Detection Unit 113 Extraction Unit 114 Ranking Unit 115 Calculation Unit 116 Notification Unit 200 (200A, 200B, 200C) Base Station 500 Network 600 Base Station Monitoring System

Claims

1. For a plurality of base stations, an acquisition unit that acquires values of a plurality of types of performance indicators indicating the performance of the base stations; A detection unit that detects the presence or absence of deterioration in the performance indicators; An extraction unit that extracts a target base station that is a base station in which deterioration is detected in at least one of the plurality of types of performance indicators; A ranking unit that ranks, based on the degree of deterioration, a plurality of target base stations in which deterioration is detected for each of the plurality of types of performance indicators; A calculation unit that calculates an evaluation value based on the rank set for the target base station for each of the plurality of target base stations; A base station monitoring device comprising:

2. The extraction unit extracts, as the target base station, a first base station in which deterioration is detected in a first performance indicator and a second base station in which deterioration is detected in a second performance indicator different from the first performance indicator. The base station monitoring device according to claim 1.

3. The extraction unit extracts, as the target base station, a first base station in which deterioration is detected based on a first detection method and a second base station in which deterioration is detected based on a second detection method different from the first detection method. The base station monitoring device according to claim 1.

4. The acquisition unit acquires the values of the performance indicators, taking a group of base stations existing within a predetermined area as the plurality of base stations. The base station monitoring device according to claim 1.

5. The detection unit detects the presence or absence of deterioration in the performance indicators by a detection method according to a tendency of change in the time series of the values of the performance indicators. The base station monitoring device according to claim 1.

6. The calculation unit calculates the evaluation value based on the number of performance indicators in which deterioration is detected in the target base station, the rank set by the ranking unit, and a predetermined weighting factor. The base station monitoring device according to any one of claims 1 to 3.

7. The detection unit detects the presence or absence of deterioration based on the values of the performance indicators acquired in time series over a predetermined period. The ranking unit uses, as the degree of deterioration, a statistical value of the values of the performance indicators in which deterioration is detected over the predetermined period. The base station monitoring device according to claim 1.

8. Further comprising a notification unit that outputs information regarding the evaluation value of the target base station. The base station monitoring device according to claim 1.

9. Steps in which a base station monitoring device For a plurality of base stations, acquires values of a plurality of types of performance indicators indicating the performance of the base stations; A step of detecting the presence or absence of degradation in the performance indicators; A step of extracting a target base station which is a base station in which degradation is detected in at least one of the plurality of types of performance indicators; A step of ranking, for each of the plurality of types of performance indicators, a plurality of target base stations in which degradation is detected in the performance indicator based on the degree of degradation; A step of calculating, for each of the plurality of target base stations, an evaluation value based on the rank set for the target base station; A control method for a base station monitoring device that executes the above.

10. In a base station monitoring device, A function of acquiring values of a plurality of types of performance indicators indicating the performance of a plurality of base stations; A function of detecting the presence or absence of degradation in the performance indicators; A function of extracting a target base station which is a base station in which degradation is detected in at least one of the plurality of types of performance indicators; A function of ranking, for each of the plurality of types of performance indicators, a plurality of target base stations in which degradation is detected in the performance indicator based on the degree of degradation; A function of calculating, for each of the plurality of target base stations, an evaluation value based on the rank set for the target base station; A control program for a base station monitoring device that realizes the above.

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