KR102167653B1 - Apparatus and method for monitoring network quality in mobile communication system - Google Patents

Abstract

An apparatus for managing a communication system in a wireless communication system according to the present invention includes a receiving unit for receiving log information about an event occurring in a wireless network, and analyzing the received log information to generate an analysis result. And a transmission unit that transmits the analysis result to an administrator, and the analysis result is generated by combining a wireless network event, a wireless node event, and an event occurring during a wireless communication service.

Description

Device and method for checking network quality in wireless communication system {APPARATUS AND METHOD FOR MONITORING NETWORK QUALITY IN MOBILE COMMUNICATION SYSTEM}

The present invention relates to an apparatus and method for checking a communication system operation state in a wireless communication system.

The quality of operation of VoIP (Voice over Internet Protocol) service in a wireless network such as a wireless LAN (LAN: Local Area Network) depends on each component of the network, location/time of occurrence, malfunction of VoIP application, It can be affected by various causes, such as user behavior. In addition, even if the wireless network is installed in consideration of wireless coverage, traffic dispersion, frequency/signal interference, terrain, etc., the wireless network is wireless due to user behavior, terminal OS (Operation System) update, and changes in surrounding environment. The network situation is constantly changing.

VoIP service operators or network administrators in the wireless network need to more quickly identify VoIP service quality problems that may affect business. To this end, various analysis tools and tools have been developed that can provide pre-detection/cause analysis/action guide for service quality problems. For example, tools and methods to check whether there is any abnormality in network operation status by providing an alarm by continuously monitoring VoIP service quality or providing service quality indicators/statistics have been developed steadily.

In the case of the existing VoIP quality monitoring tool, an indicator of VoIP sound quality deterioration is provided, but the analysis of the cause of the VoIP sound quality deterioration is limited, but does not provide the cause of the sound quality degradation. For example, in wireless networks that can affect sound quality degradation, statistics on the status of Wi-Fi (Wireless Fidelity) problems and VoIP quality are provided, so it is difficult to identify the cause of VoIP sound quality degradation and the relationship with the wireless network. Also, since the provided VoIP quality indicator is provided as an indicator for the overall VoIP call quality, it is difficult to evaluate the individual call quality. Even if an individual call quality index is provided, it is difficult to analyze the sound quality deterioration that occurs instantaneously, such as an instantaneous sound cutoff and sound cutoff. For example, since a problem occurring according to various client devices is reported without distinction from a wireless network problem, it is difficult to distinguish a wireless network problem from a client problem. When comparing the indicators for all terminals with the indicators for a specific terminal type, it can be seen that there was a problem with a specific terminal rather than a network problem, whereas when a distinction for a client terminal is not provided, the network problem and the client problem are distinguished it's difficult.

Therefore, the conventional quality monitoring technology lacks accurate correlation analysis between the VoIP sound quality deterioration phenomenon and the cause of wireless network provision, the correlation analysis between the VoIP sound quality deterioration phenomenon and problems such as terminal model, OS, VoIP client, etc., and temporary VoIP sound quality degradation. It is difficult to detect and analyze its cause, and there is a problem that it does not accurately reflect the VoIP call quality felt by an actual user.

An embodiment of the present invention provides an apparatus and method for monitoring network quality in a wireless communication system.

Another embodiment of the present invention provides an apparatus and method for analyzing logs in a wireless communication system.

Another embodiment of the present invention provides an apparatus and method capable of measuring a cause of network quality degradation by combining VoIP and network quality problems in a wireless communication system.

An apparatus for managing a communication system in a wireless communication system according to an embodiment of the present invention includes a receiving unit for receiving log information about an event occurring in a wireless network, and analyzing and analyzing the received log information. And a control unit that generates a result, and a transmitter that transmits the analysis result to an administrator, and the analysis result is generated by combining a wireless network event, a wireless node event, and an event occurring during a service.

A method for managing a communication system in a wireless communication system according to an embodiment of the present invention includes a process of receiving log information about an event occurring in a wireless network, and analyzing and analyzing the received log information. A process of generating a result and a process of transmitting the analysis result to an administrator, wherein the analysis result is generated by combining a wireless network event, a wireless node event, and an event occurring during a wireless communication service.

The network quality measurement technology according to an embodiment of the present invention can provide an effect of easily determining a problem occurring in a network by providing detailed network quality by analyzing a log.

1 shows an example of a method for measuring a network in a wireless local area network (WLAN) network.
2 shows an example of a configuration for measuring network quality according to an embodiment of the present invention.
3 shows an example of a wireless network log storage format according to an embodiment of the present invention.
4 shows an example of a VoIP Quality Reporting (VQR) log storage format according to an embodiment of the present invention.
5 shows an example of a terminal information log storage format according to an embodiment of the present invention.
6 shows an example of an AP information log storage format according to an embodiment of the present invention.
7 shows an example of an operation of a wireless network log preprocessor according to an embodiment of the present invention.
8 shows an example of an operation of a VQR log preprocessor according to an embodiment of the present invention.
9 shows an example of an operation of a log analysis engine according to an embodiment of the present invention.
10 shows an example of a wireless network event analysis process within a call time according to an embodiment of the present invention.
11 shows an example of a wireless network event extraction process according to an embodiment of the present invention.
12 shows an example of a wireless network event analysis process according to an embodiment of the present invention.
13 illustrates an example of wireless network event analysis using AP location information according to an embodiment of the present invention.
14 illustrates an example of types of analyzed result data according to an embodiment of the present invention.
15 shows an example of a process for providing an analysis result according to an embodiment of the present invention.
16 illustrates an example of a Web GUI of selecting a sound quality index criterion and analyzing problem item analysis statistics for each category according to the selected criterion according to an embodiment of the present invention.
17 illustrates an embodiment of a Web GUI for providing statistics on the number of calls in a VoIP category and sound quality according to an embodiment of the present invention.
18 illustrates an embodiment of a Web GUI providing detailed analysis results of sound quality status of a VoIP category according to an embodiment of the present invention.
19 illustrates an embodiment of a Web GUI showing statistics and analysis results of wireless network events within a wireless network event category according to an embodiment of the present invention.
20 illustrates an embodiment of a detailed analysis result according to an AP location within a wireless network event category according to an embodiment of the present invention.
21 shows an embodiment of a terminal information category analysis result according to an embodiment of the present invention.
22A to 22E illustrate an example of a visualization of a VoIP sound quality degradation relationship in a wireless network event according to an embodiment of the present invention.
23 illustrates an example of displaying a sound quality deterioration position for each AP according to an embodiment of the present invention.
24 shows an example of a procedure for managing a communication system according to an embodiment of the present invention.
25 is a block diagram of an apparatus for measuring network quality according to an embodiment of the present invention.

Hereinafter, the operating principle of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, when it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted. In addition, terms to be described later are terms defined in consideration of functions in the present invention, which may vary depending on the intention or custom of users or operators. Therefore, the definition should be made based on the contents throughout this specification.

Hereinafter, the present invention describes a technique for measuring network quality in a wireless communication system.

1 shows an example of a network measurement method in a WLAN network.

Referring to FIG. 1, an APC (AP Controller) (hereinafter referred to as a wireless node management unit) 110 is a central control means, and a terminal (STA) 120 is an AP (Access Point) (hereinafter referred to as a wireless node) ( 130), roaming to another wireless node, or disconnection, etc., collects and stores messages for all events occurring in the wireless network. The wireless node management unit 110 analyzes the stored log so that the network administrator can easily check the network status, in the form of a web GUI (Graphic User Interface), the number of times the terminal accesses the network, the number of roaming, Network statistics such as the number of connection failures can be provided, an alarm can be provided in case of connection failure, or the cause of the connection failure can be analyzed and provided.

2 shows an example of a configuration for measuring network quality according to an embodiment of the present invention.

Referring to FIG. 2, a network according to an exemplary embodiment of the present invention includes a log collection unit 210, a log preprocessor 220, a log analysis unit 230, and a report generation unit 240.

The log collection unit 210 collects various logs and data. The log collection unit collects log files from a wireless network log storage unit (Sys log storage) and a VQR log storage unit (VQR log storage) at a predefined location in the APC. In addition, the log collection unit collects a log file from an AP log storage unit at a predefined location in the AP and a CM log from a call manager (CM) storage unit.

The log preprocessing unit 220 extracts or combines log types in a form that is easy to analyze and meaningful. The log preprocessor 220 extracts or combines necessary information after receiving APC/AP installation configuration information, VQR log, and terminal information collected by the log collection unit 210.

The log analysis unit 230 analyzes the log. The log analysis unit 230 analyzes an event generated by using necessary information previously extracted from the log preprocessor 220 to determine the connection status of the wireless network. In addition, the log analysis unit 230 may also analyze terminal type, communication company, and OS version information from the terminal information.

The report generation unit 240 provides a result after all analysis of the log analysis unit 230 is completed. For example, the report generation unit 240 provides call statistics of all VoIP, sound quality statistics, analysis results of the cause of sound quality degradation calls, wireless network disconnection statistics by AP location, and sound quality degradation status of each individual call. Specifically, the report generation unit 240 provides statistics on problem status for each category of result data such as sound quality degradation statistics and trend analysis for each wireless node location, terminal model, terminal OS, communication company, and IP. Can be provided through the display unit.

3 shows an example of a wireless network log storage format according to an embodiment of the present invention.

Referring to FIG. 3, the wireless network log file includes information such as a Wi-Fi event occurrence time, corresponding event information, terminal MAC (Media Access Control) information, and BSSID (Basic Service Set Identifier) of an accessed AP. do. In FIG. 3, wifi_mac 310 is the MAC address of the terminal, wifi_time 320 is a Wifi event log occurrence time, wifi_event 330 is a message related to a wifi event, and wifi_event_type 332 is a type of wifi event (for example, access ( association), reconnection (reassociation), authentication (authentication), release (diassociation), deauthentication (deauthentication) connection information, and IP allocation information through DHCP (Dynamic Host Configuration Protocol)), wifi_bssid (334) is wifi It means the AP MAC address where the event occurred.

4 shows an example of a VoIP Quality Reporting (VQR) log storage format according to an embodiment of the present invention.

Referring to FIG. 4, the field value of the VQR log is stored in the VQR log storage in the form of a file by calculating a section MOS for each preset period and mean opinion score (MOS) period in the wireless node management unit. 4, vqr_start_time (410) is a call start time, vqr_caller_number (420) is a calling number, vqr_callee_number (422) is a called number, vqr_caller_ip (430) is a caller's IP, vqr_callee_ip (432) is a called party's IP, vqr_avg_mos (440). ) Is the average MOS, vqr_call_duration (450) is the talk time, vqr_mos_1 (460), vqr_mos_2 (462), vqr_mos_3 (464) are the first, second, and third intervals, respectively, and vqr_mos_N is the threshold for which the N-th interval MOS is preset. In the case of less than the interval MOS measurement time and value, vqr_mos_time_1(470) is the first, vqr_mos_time_N is the measurement time of the Nth lower MOS, vqr_mos_value_1(480) is the first, and vqr_mos_value_N is the Nth lower MOS value.

5 shows an example of a terminal information log storage format according to an embodiment of the present invention. According to an embodiment of the present invention, when a CM, which is a VoIP system through which a caller and a receiver connect to a phone, transmits a registration message informing the CM that the VoIP client is in a callable state, the corresponding information is included and delivered. client_call_number (510) is the VoIP number, client_ip (520) is the IP address of the VoIp client, client_ver (530) is the VoIP client version, client_device_model (540) is the terminal model name of the VoIP client, and client_os_ver (550) is the VoIP client terminal. The OS version of, client_firmware 560 denotes a VoIP client terminal firmware, and client_telco 570 denotes a 3G or 4G telephone carrier of the VoIP client terminal.

6 shows an example of a format for storing a log of information on a wireless node according to an embodiment of the present invention. 6, ap_time 610 is the event occurrence time, ap_id 620 is the ID of the wireless node, ap_sta_mac 630 is the MAC of the terminal accessing the AP, and ap_event 640 is the content of the wireless event, ap_rssi Reference numeral 650 denotes RSSI (Received Signal Strength Indication) sensitivity from the terminal to the wireless node when a wireless event occurs.

7 shows an example of an operation of a wireless network log preprocessor according to an embodiment of the present invention. According to an embodiment of the present invention, the wireless network preprocessing unit analyzes the wireless network log collected by the log collection unit, the installation setting information of the wireless node management unit or the wireless node, VQR log, and terminal information, and extracts it in an easy and meaningful form. Or combine. The wireless log preprocessor classifies the wireless network log 710 for each wireless node manager into a log 720 for each terminal. In addition, a DHCP event is parsed among wifi events to generate a MAC-IP mapping table between IP addresses allocated for each MAC of the terminal. In the description of the present invention, it is assumed that the wireless node management unit leaves a wireless network log and only receives a unique IP for each MAC while the log analysis engine performs the analysis, but is not limited thereto, and time information even if the IP is changed according to the time of the MAC. Mapping is possible using.

8 shows an example of an operation of a VQR log preprocessor according to an embodiment of the present invention. Referring to FIG. 8, vqr_key_N 810 denotes a unique key value, and the unique key value includes VQR log information according to each item of VQR. The key value can be uniquely generated by a combination of a start time, a calling number, and a called number.

9 shows an example of an operation of a log analysis engine according to an embodiment of the present invention.

Referring to FIG. 9, the log analysis unit performs analysis while rotating a loop as many as the number of calls, that is, the number of vqr_logs (vqr_key_i) 910.

The wireless node management unit according to the present invention checks whether there is a VoIP call to be analyzed in step 910. If there is no VoIP call to be analyzed in step 910, the process proceeds to step 912, the result is reported to the report generator and the result is stored.

If there is VoIP to be analyzed, the wireless node management unit proceeds to step 920 and collects log information of VQR. After collecting the log information, the wireless node management unit proceeds to step 930 and searches for a MAC of the terminal using a mapping table of MAC and IP. As a result of searching the MAC of the terminal, if there is a wireless network log (sys log) at a predefined location in the wireless node management unit, the wireless node management unit proceeds to step 960 to analyze the wireless network log (sys log). After analyzing the wireless network log (sys log), the wireless node management unit proceeds to step 960 and checks whether there is a wireless node log for the wifi MAC. If the AP log does not exist as a result of the check, the wireless node management unit proceeds to step 980 to search for terminal information. In step 980, the wireless node management unit searches the terminal information by comparing the IP of the terminal. After searching for the terminal information, the wireless node manager proceeds to step 990 and analyzes the log using vqr log, terminal information, and wifi event sequence.

If there is a wireless node log for the wifi MAC in step 960, after analyzing the wireless node log in step 970, comparing the IP of the terminal in step 982 to search for terminal information, and in step 992, vqr log information, Logs are analyzed using terminal information, wifi event sequence, and RSSI information.

If the wireless network log (sys log) exists, proceed to step 962 to check whether there is a wireless node log for the wifi MAC, analyze the AP log in step 972, and compare the IP of the terminal in step 986. After searching for information on the terminal, the log is analyzed using vqr log information, terminal information, and RSSI information in step 994.

If there is a wireless node log for the wifi MAC in step 962, the IP of the terminal is compared in step 988 to search for the terminal information, and then in step 996, the log is analyzed using vqr log information and the terminal information. do.

10 shows an example of a wireless network event analysis process within a call time according to an embodiment of the present invention.

Referring to FIG. 10, the extracted wireless network event 1010 includes Roaming, Disconnect, and Connect, and the event is determined through the wifi_mac log 1020 and vqr_log 1030, and the criteria for determining the event are shown in the following table. It is classified according to.

Wireless network event Wifi event wifi MAC log 1.connect

Association
~
Authenticated 2013-12-31:22:55:18.725_17_0003fe5c INF [I:STA] Association -BSSID(f4:d9:fb:35:9a:04) STA(00:db:df:01:ef:dc)
(...)
2013-12-31:22:55:18.804_17_0003fe6e INF <security> STA(00:db:df:01:ef:dc)-
Authenticated . user=test1 vlan=2103 qos=0 acl=<none>url=<none> 2. roaming

Reassociation
~
Authenticated 2013-12-31:14:15:44.400_13_0003d3c0 INF [I:STA]
Reassociation -BSSID(f4:d9:fb:24:b4:0f)
STA(00:db:df:09:dd:14)
(...)
2013-12-31:22:55:18.804_17_0003fe6e INF <security>
STA(00:db:df:01:ef:dc)-
Authenticated . user=test1 vlan=2103 qos=0 acl=<none>url=<none> 3. disconnect


Association/
Reassociation
~
Disassociation 2013-12-31:22:55:18.725_17_0003fe5c INF [I:STA]
Association -BSSID(f4:d9:fb:24:83:91)
STA(00:db:df:01:ef:dc)
(...)
2014-01-06:09:05:51.616_15_00016c47 INF [I:STA]
Dissassociation Reason(8)- BSSID(f4:d9:fb:24:83:91)
STA(00:db:df:01:ef:dc)
Association/
Reassociation
~
De-authentication 2013-12-31:14:15:44.400_13_0003d3c0 INF [I:STA]
Reassociation -BSSID(f4:d9:fb:3c:f3:ef)
STA(00:db:df:09:dd:14)
(...)
2013-12-30:18:46:35.995_17_0000edb0 INF [I:STA]
Deauthentication Reason(1) BSSID(f4:d9:fb:3c:f3:ef)
STA(00:db:df:09:dd:14)
Association/
Reassociation
~
Association 2013-12-31:22:55:18.725_17_0003fe5c INF [I:STA]
Association -BSSID(f4:d9:fb:24:83:91)
STA(00:db:df:01:ef:dc)
(...)
2013-12-31:22:56:18.725_17_0003fe5c INF [I:STA]
Association -BSSID(f4:d9:fb:24:83:91)
STA(00:db:df:01:ef:dc)

Specifically, the event uses a method of analyzing an event in wifi_mac_log during a period from a call start time (vqr_start_time) to a call end time (vqr_start_time + vqr_call_duration). The wireless events that can be viewed in the wifi_mac log according to the VoIP client terminal behavior are shown in the table above. Looking at the table above, when Authenticated occurs after an association occurs in a wifi event (or wifi_mac log), the wireless node manager classifies it as a connect event. When Authenticated occurs after reassociation occurs in a wifi event (or wifi_mac log), the APC classifies it as a roaming event. And, if disassociation occurs after an association or reassociation occurs in a wifi event (or wifi_mac log), a de-authentication occurs after an association or reassociation occurs, or an association occurs after an association or reassociation occurs, the wireless node management unit Classified as discoonect.

11 shows an example of a wireless network Event extraction process according to an embodiment of the present invention.

Referring to FIG. 11, from vqr_mos of vqr_log (1020), a point in time when the interval MOS value is smaller than the set reference MOS value can be seen, and the wireless node management unit affects the MOS by a wireless network event 1010 occurring at that point in time. It is determined that it is a sub-cause and related statistics can be saved. For example, in FIG. 10, it can be seen that the terminal has roamed at the time of deterioration of sound quality recorded as vqr_mos_1, and it can be seen that the terminal connection is disconnected at the time of deterioration of sound quality recorded as vqr_mos_2 and vqr_mos_3.

12 shows an example of a wireless network Event analysis process according to an embodiment of the present invention.

Referring to FIG. 12, after collecting log information of a time when the MOS is deteriorated 1210, a time when a wireless network event occurs (1220), and a time when a wireless node event occurs (1230), the collected log is used. Analyze the cause of the deterioration of MOS sound quality. For example, the first MOS deterioration point is due to the occurrence of roaming to the radio node 1 and radio node 2, the second MOS deterioration point is due to the occurrence of a packet loss event, and the third MOS deterioration point is due to the radio disconnection. It can be seen that it occurred.

13 illustrates an example of wireless network event analysis using AP location information according to an embodiment of the present invention.

13 shows an example of a wireless network Event extraction process according to an embodiment of the present invention. Referring to FIG. 13, the present invention provides an additional cause analysis related to a wireless network event. For example, when extracting a wireless network event from the wifi_mac log (1310), in the case of a Roaming event, Roaming Latency = Authenticated Time-Reassociation time can be calculated. If roaming latency is large, it can be classified as the cause of VoIP sound quality deterioration and provide more detailed sound quality deterioration to the user. In this way, the BSSID of the wireless node 1320 to which the terminal is connected/roamed may be extracted with information additionally available from the wifi_mac log. If the administrator of the Controlled Network environment knows the settings for the network configuration, such as the installation location information of the AP, it can distinguish the connected wireless node from the BSSID extracted from the log, so the wireless network such as the wireless node roaming path (1330) and wireless network disconnection. You can identify the wireless node where the problem occurs

14 illustrates an example of types of analyzed result data according to an embodiment of the present invention.

Referring to FIG. 14, a VoIP statistics 1410 includes a VoIP call 1420, and the VoIP call 1420 includes VQR information 1430, wireless network event statistics 1440, wireless node information 1450, and It includes terminal information 1460. The VQR information 1430 includes basic VQR information, a section sound quality index, an average sound quality index, and the like, and the section sound quality index includes information such as a type of a wireless network event and a location of a wireless network event (location of a wireless node). do. The wireless network event statistics 1440 includes information such as roaming, access, and disconnection, and the roaming information includes information such as a roaming delay rate and a roaming path, and the access release information is information on the cause of the disconnection. Includes. The radio node information 1450 includes radio event information and RSSI information, and the radio event information includes packet loss information from the terminal to the radio node and packet loss information from the radio node to the terminal, and the RSSI information Includes RSSI information for each wireless node, RSSI information for each terminal, and RSSI information for each location. The terminal information 1460 includes information such as a terminal model, a VoIP version, and a terminal OS version.

15 shows an example of a process for providing an analysis result according to an embodiment of the present invention.

Referring to FIG. 15, the node manager performs a log analysis engine in step 1510. The log analysis engine collects logs, analyzes the logs, and reports the analysis results. After performing the log analysis engine, the wireless node management unit stores the analysis data in step 1520. After storing the analysis data, the APC displays the analysis data stored in step 1530. When the user requests the analysis result, the wireless node management unit may display the stored analysis data through a web GUI or the like. Through the displayed analysis data, the user selects a sound quality index criterion in step 1540, and in step 1550, the wireless node manager classifies the problem items according to the selected sound quality index criterion.

The sound quality index criterion may be a call rate with a low average MOS, a call rate with wireless disconnection, a call rate with a section MOS drop, and a wireless node with a low RSSI. The sound quality index criterion is not limited to the above, and various indicators such as average MOS and number of occurrences of wireless disconnection during a call may be used. If the ratio of calls in which section MOS deterioration occurs for the category for the terminal OS (Operating System) is used as the sound quality index as an example, the number of calls with section MOS sound quality degradation is divided by the total number of calls. If is the ratio of calls that occurred, all calls are N, and the number of calls with segment MOS sound quality deterioration is M, then the sound quality index criterion (Qos_thr) based on all calls is the value obtained by dividing the number of calls with segment MOS sound quality degradation by all calls. do. That is, M/N = Qos_thr. Meanwhile, the sound quality index based on the number of calls for each OS is a value obtained by dividing the number of calls in which MOS sound quality deteriorates during a call of a terminal using a specific OS by the number of all calls of a terminal using a specific OS. That is, if the number of calls in which the MOS sound quality deterioration occurs during a call of the terminal using the specific OS is M_OS, and the number of calls of the terminal using the specific OS is N_OS, the sound quality index based on the number of calls per OS (QOS_OS) is M_OS. /N_OS = Qos_OS. If the sound quality index based on the number of calls by OS is larger by comparing the sound quality index based on the number of calls for each OS, it is determined that the corresponding OS has a problem. That is, when QOS_OS> QOS_THR, the wireless node manager determines that the corresponding OS has a problem.

The wireless node management unit analyzes the remaining items except for the problem item or the specific category item in step 1560. For example, if there is a problem with a specific OS, the wireless node management unit may exclude a specific OS category. As another example, if there is a problem with a specific terminal model, the wireless node management unit may exclude the specific terminal model. A problem item or a specific category item may be excluded in order to solve a problem item or a problem of a specific category, and to perform a more detailed analysis of the network by excluding an exceptional problem item or a specific category item. After analyzing a problem item or a specific category item, the wireless node management unit transmits the selected problem item and data filtered by a specific category to the log analysis engine to perform analysis.

In step 1570, the wireless node management unit provides a detailed VoIP list for problem items. The wireless node management unit provides a more detailed VoIP list of data classified problem items according to the sound quality index criterion selected in step 1550.

The wireless node management unit displays detailed VoIP in step 1580. The wireless node management unit displays the status or detailed status of VoIP items desired by the user.

16 illustrates an example of a Web GUI of selecting a sound quality index criterion and analyzing problem item analysis statistics for each category according to the selected criterion according to an embodiment of the present invention.

Referring to FIG. 16, the wireless node management unit may select a sound quality index criterion. The example of the sound quality index criterion according to FIG. 16 may display a problem item for each category on the Web GUI according to the section MOS occurrence call ratio, the wireless disconnection occurrence call ratio, and the selected sound quality index criterion.

17 illustrates an embodiment of a Web GUI for providing statistics on the number of calls in a VoIP category and sound quality according to an embodiment of the present invention.

Referring to FIG. 17, the wireless node manager may display the number of VoIP calls and sound quality status. The number of VoIP calls and sound quality statistics may be displayed as an average MOS standard or a section MOS standard, etc. of the number of calls with poor sound quality.

18 illustrates an embodiment of a Web GUI for providing detailed analysis results of sound quality status of a VoIP category according to an embodiment of the present invention.

Referring to FIG. 18, the wireless node management unit can display events such as roaming, disconnection, and access, and when the section MOS is lower than the sound quality index criterion, the location of the call, the call time, VoIP, and the wireless network analysis. The result, the terminal information summary, the name of the wireless node where the disconnection occurred can be visualized and displayed.

19 illustrates an embodiment of a Web GUI showing statistics and analysis results of wireless network events within a wireless network event category according to an embodiment of the present invention.

Referring to FIG. 19, the wireless node management unit may display statistics such as a call with roaming during a call, a roaming failure rate, and the number of calls with wifi disconnection through a Web-GUI.

20 illustrates an embodiment of a detailed analysis result according to a location of a wireless node in a wireless network event category according to an embodiment of the present invention.

Referring to FIG. 20, the wireless node management unit includes a location of a wireless node where a wireless network event has occurred, a location of a wireless node where a section MOS degradation has occurred, a location of a wireless node where a connection has been released, a path where a connection release event has occurred, and the corresponding call You can display a list of time and value of section MOS occurrence, VoIP call information, and a list of VoIP calls that occurred at the corresponding location.

21 shows an embodiment of a terminal information category analysis result according to an embodiment of the present invention.

Referring to FIG. 21, the wireless node manager may display statistics of wireless network events for each terminal model and wireless network events for each OS. For example, the wireless node management unit may display the total event, the number of disconnections, and the disconnection rate for each specific terminal model. In addition, the wireless node management unit may display wireless network event statistics according to a specific OS or a specific OS version.

22A to 22E illustrate an example of a visualization of a VoIP sound quality degradation relationship in a wireless network event according to an embodiment of the present invention.

22A to 22E, the wireless node management unit may display a visualization of a sound quality deterioration scenario for each sound quality deterioration cause. The horizontal axis of the graph indicates the time axis and the vertical axis indicates the MOS value. The wireless node management unit may display visualizations according to the cause of sound quality deterioration, respectively, normal, wifi disconnection, 2.4G connection, roaming, and other cases. Each event may be displayed differently for each color. When a specific event occurs, it is displayed on the graph, and the MOS value at the time the event occurs may be displayed. Therefore, the administrator can grasp the current state of the network and the cause of the network problem through the displayed screen.

23 illustrates an example of displaying a sound quality deterioration position for each wireless node according to an embodiment of the present invention.

Referring to FIG. 23, the wireless node management unit may display a sound quality deterioration position and RSSI signal strength for each wireless node through a Web GUI.

24 shows an example of a procedure for managing a communication system according to an embodiment of the present invention.

In step 2410, the wireless node management unit receives log information. The log information may be received from a wireless node and a wireless network. The log information includes event information that occurs.

After receiving the log information, the wireless node management unit analyzes the log information in step 2420. The process of analyzing the log information includes a process of classifying received logs by category, and a process of analyzing what event occurred at a specific time by matching the time of information of the received logs.

In step 2430, the wireless node management unit transmits the analysis result of the log analyzed in step 2420 to the manager. The analysis result is generated by combining a wireless network event, a wireless node event, and an event occurring during a wireless communication service.

25 is a block diagram of an apparatus for measuring network quality according to an embodiment of the present invention.

Referring to FIG. 25, the device includes a communication unit 2510, a storage unit 2520, and a control unit 2530.

The communication unit 2510 performs a function for transmitting and receiving signals. That is, the communication unit 2410 transmits and receives signals provided from the control unit 2530 and the storage unit 2520.

The storage unit 2520 stores data such as a basic program, an application program, and setting information for the operation of a device for checking an operation state of a communication system in the wireless communication system. In particular, the storage unit 2520 may store log information. In addition, the storage unit 2520 provides stored data according to the request of the control unit 2530.

The controller 2530 controls overall operations of a device for checking an operating state of a communication system in a wireless communication system. For example, the controller 2530 transmits a signal through the communication unit 2510 to access a wireless network. For example, the controller controls the apparatus for checking the operating state of the communication system to perform the procedures shown in FIGS. 9, 15, and 24. The operation of the controller 2530 according to an embodiment of the present invention is as follows.

The controller 2530 collects various logs and data, extracts or combines meaningful data from the collected logs and data, and analyzes the log. The analyzed log is output on the Web GUI screen, and when the user selects the sound quality index criterion, problem items are classified according to the selected sound quality index criterion, and the network state can be analyzed excluding the problem item or a specific category item.

The methods according to the embodiments described in the claims or specification of the present invention may be implemented in the form of hardware, software, or a combination of hardware and software.

When implemented in software, a computer-readable storage medium storing one or more programs (software modules) may be provided. One or more programs stored in a computer-readable storage medium are configured to be executable by one or more processors in an electronic device (device). The one or more programs include instructions that cause the electronic device to execute methods according to embodiments described in the claims or specification of the present invention.

These programs (software modules, software) include random access memory, non-volatile memory including flash memory, read only memory (ROM), and electrically erasable programmable ROM. (EEPROM: Electrically Erasable Programmable Read Only Memory), magnetic disc storage device, Compact Disc-ROM (CD-ROM), Digital Versatile Discs (DVDs), or other types of It may be stored in an optical storage device or a magnetic cassette. Alternatively, it may be stored in a memory composed of a combination of some or all of them. In addition, a plurality of configuration memories may be included.

In addition, the program is through a communication network composed of a communication network such as Internet, Intranet, Local Area Network (LAN), Wide LAN (WLAN), or Storage Area Network (SAN), or a combination thereof. It may be stored in an attachable storage device that can be accessed. Such a storage device may be connected to a device performing an embodiment of the present invention through an external port. In addition, a separate storage device on the communication network may access a device performing an embodiment of the present invention.

In the specific embodiments of the present invention described above, the constituent elements included in the invention are expressed in the singular or plural according to the presented specific embodiment. However, the singular or plural expression is selected appropriately for the situation presented for convenience of description, and the present invention is not limited to the singular or plural constituent elements, and even constituent elements expressed in plural are composed of singular or singular. Even the expressed constituent elements may be composed of pluralities.

Meanwhile, although specific embodiments have been described in the detailed description of the present invention, various modifications may be made without departing from the scope of the present invention. Therefore, the scope of the present invention is limited to the described embodiments and should not be determined, and should be determined by the scope of the claims and equivalents as well as the scope of the claims to be described later.

Claims (30)

In the apparatus for communication system management in a wireless communication system,
A log collection unit that collects log information on at least one event occurring in a wireless network,
In the log information, it is determined whether the mean opinion score (MOS) value of at least one section of the call is less than the reference MOS value,
When the MOS value of the at least one section is less than the reference MOS value, an analysis result is generated as the cause of the deterioration of the sound quality of the call in the at least one section due to the event occurring in the at least one section among the at least one event Log analysis unit,
Based on the analysis result, a report generation unit that provides analysis result data of sound quality degradation statistics for each terminal,
And a display unit for displaying the analysis result data,
The at least one event includes at least one of a wireless network event, a wireless node event, and an event occurring during a voice over internet protocol (VoIP) service.
The method according to claim 1,
The apparatus further comprises a log preprocessor for extracting log information for each media access control (MAC) of the terminal from the log information and storing the at least one event in the order of occurrence.
The method according to claim 1,
Further comprising a log preprocessing unit for extracting log information for each call from the log information, and storing a key value assigned to the log information for each call, wherein the key value is a start time for each call, a calling number, and a called number. A device created in combination.
The method according to claim 1,
The log collection unit is an apparatus for collecting the log information from at least one of the terminal, a wireless node, and the wireless network.
The method according to claim 1,
The wireless network event includes at least one of roaming, disconnection, and connect information.
The method according to claim 1,
The log information includes information related to VoIP,
The VoIP related information includes any of the call start time, the calling number, the called number, the calling party IP, the called party IP, the average MOS value, the call time, and the measurement time information when the MOS value of a specific section during a call is lower than the reference MOS value. Device containing one.
The method according to claim 1,
The MOS value of the at least one section indicates a value of a voice call quality.
The method according to claim 1,
The log analysis unit analyzes a network operation state by using the event, the MOS value of the at least one section of the VoIP, and information of the terminal.
The method according to claim 1,
The display unit displays the analysis result on a web GUI (graphic user interface) according to the selected sound quality index,
The selected sound quality index criterion includes at least one of a call rate with a low average MOS value, a call rate with wireless disconnection, and a call rate with a decrease in MOS value in the at least one section.
In a method for managing a communication system in a wireless communication system,
A process of collecting log information for at least one event occurring in a wireless network,
In the log information, it is determined whether the mean opinion score (MOS) value of at least one section of the call is less than the reference MOS value,
When the MOS value of the at least one section is smaller than the reference MOS value, the process of generating an analysis result as the cause of the deterioration of the sound quality of the call of the section by an event occurring in the at least one section among the at least one event,
Providing analysis result data of sound quality degradation statistics for each terminal based on the analysis result,
Including the process of displaying the analysis result data,
The at least one event includes at least one of a wireless network event, a wireless node event, and a voice over internet protocol (VoIP) service.
The method of claim 10,
The method further comprising the step of extracting log information for each media access control (MAC) of the terminal from the log information and storing the at least one event in the order of occurrence.
The method of claim 10,
Extracting log information for each call from the log information, and storing a key value assigned to the log information for each call, wherein the key value is a combination of a start time for each call, a calling number, and a called number How it is created.
The method of claim 10,
The process of collecting the log information,
A method of collecting the log information from at least one of the terminal, the wireless node, and the wireless network.
The method of claim 10,
The wireless network event includes any one of roaming, disconnection, and connect information.
The method of claim 10,
The log information includes information related to VoIP,
The VoIP related information includes any of the call start time, the calling number, the called number, the calling party IP, the called party IP, the average MOS value, the call time, and the measurement time information when the MOS value of a specific section during a call is lower than the reference MOS value. How to include one.
The method of claim 10,
The MOS value of the at least one section represents a value of a voice call quality.
The method of claim 10,
The process of generating the analysis result,
And analyzing a network operation state using the event, the MOS value of the at least one section of the VoIP, and information of the terminal.
The method of claim 10,
In the process of displaying the analysis result data, the analysis result is displayed on a web GUI (graphic user interface) according to the selected sound quality index,
The selected sound quality index criterion includes at least one of a call rate with a low average MOS value, a call rate with wireless disconnection, and a call rate with a decrease in MOS value in the at least one section.


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