KR100464475B1 - Method for self monitoring using spectrum analysis in a base station test unit - Google Patents

Abstract

The present invention relates to a self-monitoring method in a base station monitoring apparatus using spectrum analysis. The self-monitoring method in the base station monitoring apparatus according to the present invention comprises the steps of setting in advance the spectral waveform and the tolerance range for the ideal signal, detecting the spectral waveform for the actual signal, and the actual signal Obtaining an output error with respect to the spectral waveform of and the spectral waveform of the predetermined abnormal signal, and outputting a failure signal when the output error exceeds a preset tolerance range.

According to the present invention, by detecting a failure in the base station using only simple spectrum analysis, and transmitting it to the administrator remotely, it is possible to monitor the base station at a constant and fast time interval.

Description

Self-monitoring method using spectrum analysis in base station monitoring device {METHOD FOR SELF MONITORING USING SPECTRUM ANALYSIS IN A BASE STATION TEST UNIT}

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a base station test unit (BTU) for a base station in a mobile communication system. More particularly, the present invention relates to a self-diagnosis of a base station through spectrum signal analysis. The present invention relates to a base station monitoring apparatus and a method for transmitting remotely.

In general, as shown in FIG. 1, a mobile communication system includes a mobile station 100 receiving a mobile communication service, a base station 110 providing a service to the mobile terminal, and a plurality of mobile communication terminals. It consists of a central monitoring device, such as a Moblie Switching Center (120) that connects the base station to a public switched telephone network (PSTN).

2 is a block diagram schematically illustrating an internal configuration of a general base station. The base station 110 includes a base station controller 250 and a base transceiver station 260, and further includes a base station monitoring apparatus 300 for monitoring the base station.

The base station controller 250 is a device for coordinating wireless communication means such as a base transceiver station for specific cells in a wireless communication network. Meanwhile, the base transceiver station 260 includes an antenna 200, a radio frequency (RF) transceiver 210, a transceiver interface 220, a channel controller 230, and a base transceiver station 240. The above-described base station controller and the base transceiver station are general techniques well known to those skilled in the art, and further description thereof will be omitted.

Initially, in order to determine whether there is an abnormality with respect to the base station, a management agent mobilized various specialized equipment and tested while moving to the base station. Since this method is the most reliable method of collecting necessary information up to now and a method of immediately repairing a failed base station, it is still used indispensably for the final failure determination and failure coping.

However, there are practically too many problems to manage a large number of base stations by the above-described method. That is, in the above-described method, since the management personnel must visit all the base stations directly, not only it takes too much time, but also because the location of the base station is not easy for the management personnel to access the base station. In addition, since the inspection equipment must always be moved to the base station, the expensive inspection equipment may be damaged during the movement.

In order to solve the above problems, a base station monitoring apparatus (BTU: 300 of FIG. 2) capable of remotely determining a possibility of failure of a base station has been proposed and widely used.

The base station monitoring apparatus is constructed inside a base station in a wireless communication network system such as a digital cellular system or a personal portable communication system, receives an input signal for testing from a base station, and processes an input signal serving as a signal source in various forms. Analysis data is transmitted to central monitoring device through TCP / IP or network. As such, the central monitoring station receiving various types of analysis data from the base station monitoring apparatus determines whether the base station is in a normal state or a failure state by examining the analysis data.

As shown in FIG. 3, the base station monitoring apparatus 300 according to the related art includes a base station connection unit 310, a power detection unit 320, a test terminal 330, and a control unit 340 for controlling them. Hereinafter, the functions of each component of the base station monitoring apparatus will be described schematically.

First, the base station connection unit 310 connects the transmission and reception paths of the base station to the test terminal and the power detector, so that the test terminal and the power detector can receive a radio frequency (RF) signal of the base station.

Next, the power detector measures a signal input from the base station connector. The power detector detects and measures the strength of the signal by tuning to the frequency of the signal to be measured.

The test terminal performs call processing with the base station, and also transmits information collected by the test terminal to the base station controller or changes the parameters of the terminal.

The base station monitoring apparatus having the above-described configuration checks the transmission / reception path of the base station by measuring the transmission output of the base station and measuring the voltage standing wave ratio (VSWR) of the transmission / reception antenna.

The wireless communication network system can reduce unnecessary movement between unnecessary base stations of the management personnel by primarily determining whether the base station is monitored and abnormally remotely from the central monitoring device, which is the network management system above the base station, using the base station monitoring device described above. It became.

In addition, various methods for monitoring a base station have been proposed. As an example, there is a patent application No. 2000-6051 entitled "Remote monitoring system of mobile communication terminal base station". This patent application discloses a remote monitoring system of a mobile communication terminal base station to analyze the spectrum of the signal transmitted and received at the mobile communication terminal base station at a remote location so as to know whether there is an abnormality of the base station.

Another example is patent application No. 2000-60980 entitled "Transmitter Remote Monitoring Apparatus and Method of a Wireless Base Station". This patent application discloses a system for controlling radio frequency output power of a base station in a wireless communication system.

By the way, as described above, all of the proposed methods are to monitor the base stations remotely, and in practice, the number of base stations to be managed in the central network management system reaches hundreds, and each of them is accessed remotely. Management is very inefficient. Because the network management system of the central monitoring unit must monitor each base station in sequence, and as a result, it takes quite a lot of time to inspect all of the hundreds of base stations. In some cases, certain base stations have the problem of being able to detect a failure after quite a long time after the failure actually occurs.

An object of the present invention for solving the above-mentioned problems is to provide a self-monitoring method in the base station monitoring apparatus that can check whether the base station failure occurs in the base station monitoring apparatus.

In addition, another object of the present invention is to provide a self-monitoring method in a base station monitoring apparatus capable of quickly responding to a failed base station.

1 is a system block diagram schematically illustrating a typical wireless network.

Figure 2 is a block diagram schematically showing the configuration of a typical base station.

3 is a block diagram schematically illustrating a general base station monitoring apparatus.

4 is a flowchart showing the overall operation of the apparatus for monitoring a base station using spectrum analysis according to the present invention.

5 is a flowchart sequentially illustrating a power test method in a base station monitoring apparatus according to the present invention;

6 is a flowchart sequentially showing a method for checking a spectrum waveform in a base station monitoring apparatus according to the present invention;

Fig. 7 is a waveform diagram showing division of spectral waveforms in one embodiment of a spectrum inspection method according to the present invention;

8 is a flowchart for explaining a spectrum inspection method according to the embodiment of FIG. 7.

<Explanation of symbols for the main parts of the drawings>

100: mobile terminal

110: base station

120: central monitoring unit

300: base station monitoring device

310; Base station connection

320: power detector

330: test terminal

340: control unit

A feature of the self-monitoring method in the base station monitoring apparatus according to the present invention for achieving the above object is the step of setting the spectral waveform for the abnormal signal in advance, detecting the spectral waveform for the measured actual signal and from each Detecting an indexed level value for a frequency, detecting an indexed level value for each frequency from a predetermined spectral waveform for the abnormal signal, and for each frequency a spectral level value for the actual signal and Calculating difference values of the spectral level values with respect to the abnormal signal, inspecting the output of the signal using the difference values, inspecting the spectral waveforms, and determining that a failure has occurred in the base station. And outputting a fault occurrence signal.

In this case, the step of inspecting the output of the signal using the difference value, comparing the calculated difference value with the tolerance range preset by the administrator, if the difference value exceeds the tolerance range Preferably, the base station outputs a failure occurrence signal indicating that a failure has occurred.

In addition, the step of inspecting the spectral waveform using the difference value, the step of dividing the spectral waveform into a predetermined number of sections, summing the difference values for each section to obtain the error area for each section, and for each section Setting a tolerance range in advance, and comparing the error area for each section with a preset tolerance range for the corresponding section, when the error area for each section exceeds the preset tolerance range in any one section. And outputting a failure occurrence signal indicating that a failure has occurred in the corresponding section.

Hereinafter, a self-monitoring method in a base station monitoring apparatus according to the present invention will be described in detail with reference to the accompanying drawings.

Prior to describing the base station monitoring apparatus according to the present invention, the technical principle of the self-monitoring method in the base station monitoring apparatus according to the present invention will be described first.

In general, there are several standard test items for a base station, which are usually independent of each other. Therefore, in order to determine the failure of the base station, each test item is sequentially examined. Since all the test items need to be checked sequentially, the test time is very time-consuming and also places a considerable load on the system.

Therefore, the present invention does not use the method of sequentially checking all the standard test items, and analyzes the spectral waveform to obtain the shape and area of the figure of the spectral waveform, and the spectral waveform of the ideal signal preset therein. After comparing with the shape and area of the figure, if the error exceeds the preset error tolerance, it is regarded as a failure and transmits a signal to inform the manager that a failure has occurred. The administrator of the central monitoring apparatus that has received the failure occurrence signal from the base station monitoring apparatus in the base station reconsiders the corresponding base station remotely to determine in detail which item has failed. In this case, the ideal signal refers to a signal that is expected to be output when the base station operates normally, and is generally set by an administrator.

Therefore, the present invention accurately determines whether a failure occurs in the base station without placing a large load on the system, and once a failure occurs, it is possible to quickly take action by notifying the administrator.

Hereinafter, a self-monitoring method in the base station monitoring apparatus according to the present invention will be described in detail.

Figure 4 is a flow chart showing the entire self-monitoring method in the base station monitoring apparatus according to the present invention.

Referring to FIG. 4, first, the manager presets a spectral waveform for an ideal signal and a tolerance range for a spectrum level value (step 400). At this time, it is preferable to detect the indexed level value for each frequency from the figure of the spectral waveform for the ideal signal, and to form and store a table having coordinate values consisting of (frequency, level values).

Next, an indexed level value for each frequency is detected from the figure of the spectral waveform for the actually measured signal to form a table having coordinate values consisting of (frequency, level values) (step 410). In this case, in consideration of changing from time to time according to the sampling time of the actually input level value, it is desirable to increase the reliability of the detected data by repeating the sampling several times to several times during a predetermined time interval and using the average value thereof.

Next, an error value for each frequency is calculated by comparing the spectrum table for the preset abnormal signal with the spectrum table for the actual signal (step 420).

Next, using the error values for each frequency calculated in the above step, a spectral waveform test (step 440) and a power test (step 430) are performed respectively. A detailed description of the spectral waveform test method and the power test method will be described later. If it is determined that a failure has occurred during the spectrum waveform test or the power test process, the base station monitoring apparatus outputs a failure signal indicating that a failure has occurred in the base station, thereby informing the manager in the central monitoring unit that the base station has failed remotely (step). 450).

In addition, the administrator receiving the failure occurrence signal remotely examines the corresponding base station to identify the exact failure occurrence item and promptly take appropriate measures according to the result.

Hereinafter, the power test method (step 430) described above will be described in detail with reference to FIG. 5.

FIG. 5 is a flowchart sequentially illustrating a power test method among self-test methods in the base station monitoring apparatus according to the present invention of FIG. 4.

First, a total value is obtained by summing all error values for each frequency calculated in step 420 of FIG. 4 (step 500). At this time, the sum value represents an error value of the spectral area of the actual waveform with respect to the spectral area of the abnormal waveform.

Next, the calculated total value is compared with the tolerance range preset by the administrator (step 510). If the total value exceeds the tolerance range, it is determined that a failure occurs in the corresponding base station (step 520). The signal is output (step 530).

Such a power test method utilizes a property in which the area of a spectral waveform means an output at a frequency allocation indicated by the spectrum. Therefore, by comparing the spectral area for the abnormal waveform with the area of the spectrum for the actual waveform, it is possible to determine how far the output is from the expected value.

Another embodiment of the power test according to the present invention is obtained by comparing the sum of the calculated errors and the allowable error range. In this case, the allowable error range may be obtained through (1) ± (output × allowable error rate), (2) output × (+ allowable error rate), or (3) output × (− allowable error rate).

If the sum of the calculated errors exceeds the allowable error range, it is considered that a failure occurs in the corresponding base station, and a failure occurrence signal is transmitted to the administrator.

Next, referring to FIG. 6, a method for inspecting spectrum waveforms (step 440 of FIG. 4) in the self-monitoring method of the base station monitoring apparatus of FIG. 4 will be described in detail.

First, the spectral waveform inspection method will be briefly described. First, the administrator divides the spectral waveform for the abnormal waveform into a predetermined number of sections, and then sets a tolerance range for each section. In this way, the divided information of each section and the allowable error range for each section of the spectrum waveform set by the administrator in the central monitoring apparatus are transmitted to the base station monitoring apparatus in the base station.

The control unit of the base station monitoring apparatus that has received the corresponding data by the manager stores and manages the divided information of each transmitted section and data about an allowable error range for each section. Next, the spectrum of the actual waveform is divided into a predetermined number according to the predetermined section division information. Next, the sum of the error values of the spectrum of the actual waveform is calculated for each of the divided sections. Next, the total value for the error value calculated for each section is compared with the allowable error range for the corresponding preset section. If the allowable error range is exceeded, it is determined that a failure occurs in the corresponding base station and a failure occurrence signal is transmitted to the manager.

Hereinafter, each step of forming the aforementioned spectral waveform inspection method will be described in more detail with reference to FIG. 6.

First, in step 600, the manager divides a spectral waveform for an ideal signal into a predetermined number of sections. At this time, if the number of sections to be divided is set too much, the load of the system is increased, while if the number of sections is set too small, the accuracy of the alarm function is reduced. Therefore, the number of sections is appropriately set in consideration of the load and accuracy of the system. It is most preferable to divide the sections into four sections. In addition, it is preferable that the administrator appropriately classifies each section on the spectrum of the abnormal waveform in consideration of the performance of the base station monitoring apparatus, the operation currently performed in the background, and the accuracy of the alarm function.

In addition, since the allowable error is different for each section, the manager sets an allowable error range for each divided section in order to ensure the minimum accuracy. Meanwhile, the base station monitoring apparatus may remotely receive section division information on how to divide into several sections and information on a preset tolerance range for each section from a manager in the central monitoring apparatus or may be transmitted from a base station. The stored data is stored and managed.

Next, the base station monitoring apparatus obtains the error value calculated in FIG. 4 with respect to the spectrum of the actual waveform (step 600). The spectrum of the actual waveform is divided into a predetermined number according to the section division information, and the error area for each section is calculated by summing the error values for each section (step 630).

Next, the calculated error area for each section is compared with a preset tolerance range for the corresponding section (step 640), and it is determined whether the error area for each section exceeds a preset tolerance range (step 650). If it is determined that the tolerance range is exceeded, it is determined that a failure has occurred in the base station, and a failure occurrence signal indicating that a failure has occurred in the base station is output and transmitted to the manager (step 660).

The above-described spectral waveform inspection method utilizes the property that the shape of the spectral waveform implicitly contains frequency occupancy, spurious, and many other state information. That is, if it is possible to confirm that the waveform of the spectrum having various types of state information has an abnormal shape or an abnormal position state, it is possible to easily determine that the abnormal state without checking all the test items for the base station.

The difference between the spectral waveform and the abnormal waveform with respect to the actual waveform can be expressed as the difference in the area when the actual waveform and the abnormal waveform are superimposed, and this waveform error is represented by Equation 1 below. .

If the waveform error exceeds a preset tolerance range, the base station may be said to have a failure. On the other hand, since the spectrum is not uniformly spread in all areas, it is determined whether or not a failure in consideration of the characteristics of each section.

EMBODIMENT OF THE INVENTION Hereinafter, the form which actually implements the above-mentioned spectral waveform test | inspection method is concretely demonstrated with reference to drawings.

7 is a waveform diagram schematically illustrating a CDMA spectral waveform divided into four sections according to the present invention, and FIG. 8 is a flowchart illustrating a method of inspecting a spectral waveform for each of four divided sections.

First, referring to FIG. 7, the spectral waveform has a form symmetrical about a center frequency (CenterFrequency). As a result, each section is symmetrically divided based on the center frequency. In this embodiment, the spectral waveform is divided into four sections.

As shown in FIG. 7, for a signal having a bandwidth of 1.2288 MHz, the first section is a section in which a main signal is input and is formed in a predetermined region based on a center frequency. In addition, the third section is a section in which generally generated noise is input, and mainly includes noise generated while the main signal passes through the nonlinear element and noise generated by the measuring instrument itself. Meanwhile, the second section is a section connecting the first section into which the signal is input and the third section into which the noise is input, and the fourth section is a section in which no signal is input, and all of the visible signals are determined as noise.

Since the first section is a section to which a signal is input, the power level should not be too low or too high above the reference value and should be within an appropriate tolerance range. On the other hand, the second, third, and fourth sections are noise sections, and if the level value is higher than the reference value, all of them are more likely to be noise.

In addition, in the second section, if the sum of the error values is higher than the reference value, (1) the noise in the third section is excessive and the boundary between the second section and the third section is invaded, or (2) the rising angle of the level. Is a gentle case. In both cases, they are abnormal, indicating that a failure has occurred when the tolerance is exceeded.

On the other hand, since the third section includes noise of the measuring instrument itself, the allowable error range can be given relatively wider than the second section or the fourth section.

8 is a flowchart illustrating a spectral waveform inspection method using the same after dividing the spectral waveform into four sections as described above.

First, in step 800, an error value for a spectral level value for each frequency is obtained. Next, in step 810, the spectral waveform is divided into four sections according to the section division information preset by the manager, and the error value range corresponding to the four sections is determined as in step 820.

Next, in step 830, the sum of the error values for each section is obtained. In operation 840, a sum value obtained by adding up error values for each section is displayed.

Next, in step 850, the sum value calculated for each section is compared with a preset tolerance range for each section, and if any of the sections fall outside the tolerance range, a failure occurrence signal indicating that a failure has occurred is output.

According to the present invention, since the base station management personnel does not need to remotely access and monitor the base station monitoring apparatus, it is possible to reduce the waste of manpower and time required for base station monitoring. In addition, it is possible to reduce the load on the system by determining whether a failure occurs with a single inspection through spectrum analysis without having to inspect all kinds of monitoring test items. In addition, all base stations can be monitored continuously and at short time intervals, and there is no major problem in performing other applications.

On the other hand, since the present invention does not require any additional hardware upgrades, it is possible to execute the method according to the present invention without the added cost.

Claims (7)

delete A self-monitoring method executed in a base station monitoring apparatus having a spectrum display function installed in a base station, Presetting a spectral waveform for an ideal signal; Detecting the spectral waveform from the measured actual signal and detecting the indexed level value for each frequency therefrom; Detecting an indexed level value for each frequency from the spectral waveform for the preset abnormal signal; Calculating, for each frequency, differences between the spectral level value for the actual signal and the spectral level value for the abnormal signal; Calculating a total value by summing all the calculated difference values; Comparing the total value with a tolerance range preset by an administrator; And outputting a failure occurrence signal indicating that a failure has occurred in the base station when the total value exceeds the tolerance range. A self-monitoring method executed in a base station monitoring apparatus having a spectrum display function installed in a base station, Presetting a spectral waveform for an ideal signal; Detecting the spectral waveform from the measured actual signal and detecting the indexed level value for each frequency therefrom; Detecting an indexed level value for each frequency from the spectral waveform for the preset abnormal signal; Calculating, for each frequency, differences between the spectral level value for the actual signal and the spectral level value for the abnormal signal; Dividing the difference values into a predetermined number of sections; Calculating an error area for each section by summing the difference values for each divided section; Presetting a tolerance range for each section by using the abnormal signal; Comparing the error area for each section with the preset tolerance range for the section; And outputting a failure occurrence signal indicating that a failure has occurred for the corresponding base station when the error area for each section exceeds the preset allowable error range in any one section. Self-monitoring method using analytics. delete delete A self-monitoring method installed in a base station and executed in a base station monitoring apparatus having a spectrum display function, Setting a spectral waveform for an ideal signal in advance, dividing the spectral waveform into four sections, and setting an allowable error range for each divided section; Detecting a spectral waveform from the measured actual signal and dividing the detected spectral waveform into the four sections; Detecting an indexed level value for each frequency from the spectral waveform for the actual signal; Detecting an indexed level value for each frequency from the spectral waveform for the preset abnormal signal; Calculating difference values between the spectral level value for the real signal and the spectral level value for the abnormal signal for each frequency; Calculating an error area for each section by summing the difference values for each divided section; The error area for each section is compared with a preset tolerance range for the corresponding section. If the error area for each section exceeds the preset tolerance range in any of the sections, a failure indicating that a failure occurs for the corresponding base station. Self-monitoring method using the spectrum analysis in the base station monitoring apparatus comprising the step of outputting the generated signal. 7. The self-monitoring method using spectrum analysis in a base station monitoring apparatus according to claim 6, wherein the allowable error range for each divided section is set differently according to the characteristics of each section.