KR100641330B1 - Method for simulating performance analysis of wireless network - Google Patents

Abstract

1. TECHNICAL FIELD OF THE INVENTION

The present invention relates to a simulation method for analyzing the performance of a wireless network and a computer-readable recording medium recording a program for realizing the same.

2. The technical problem to be solved by the invention

The present invention simulates a real wireless network environment on a computer by generating and moving each call on a geographic information system of a wireless communication system, thereby simulating a simulation method for predicting a wireless environment and optimizing system parameters, and for realizing the same. To provide a computer-readable recording medium that records the program.

3. Summary of Solution to Invention

In the simulation test method for performance analysis of a wireless network in a wireless communication system, in order to simulate the actual service target area, all areas in the service target area modeled by modeling the base station environment of the service target area are modeled. A modeling step of dividing the pixel into a predetermined size and arranging the predicted result value for each pixel in a vector form; A simulation test condition setting step of setting the simulation test conditions by determining the environmental variables and the generating conditions actually used in the simulation test base station of the service target area; And a simulation step of simulating service quality for each arc inside the simulation target base station and the simulation target base station of the entire service target area through the arrangement of the vector form according to the set simulation conditions. box.

4. Important uses of the invention

The present invention is used for wireless network performance analysis.

Simulation, Radio Prediction, Fading, Vector, Pixel

Description

Simulation method for wireless network performance analysis {METHOD FOR SIMULATING PERFORMANCE ANALYSIS OF WIRELESS NETWORK}             

1 is an explanatory diagram showing a configuration method of a base station for a conventional simulation.

2 is an exemplary configuration diagram of a hardware system to which the present invention is applied.

Figure 3 is an embodiment full flow diagram for the simulation method according to the invention.

Figure 4 is a detailed flowchart of one embodiment of a simulation pretreatment process according to the present invention.

5 is an explanatory diagram showing processing results when performing a pretreatment process according to an embodiment of the present invention.

6 is a flowchart illustrating one embodiment of a call generation process according to the present invention;

7 is an explanatory diagram showing an example of an amplitude vector after fading when a fading process is performed according to an embodiment of the present invention.

* Explanation of symbols for the main parts of the drawings

21: simulator 22: common memory

23: high speed DSP forward processing module 24: high speed DSP reverse processing module

25: wireless environment predictor

The present invention relates to a simulation test method for analyzing the performance of a wireless network and optimizing system parameters in a wireless communication system. Particularly, various system variables and systems for analyzing a performance of a mobile communication system and constituting a wireless environment in a mobile communication environment are provided. Simulation method for optimizing the configuration and modeling the actual mobile communication environment as close as possible to simulate and solve problems in the real system, and a computer-readable recording medium recording a program for realizing the problem .

Conventional radio environment prediction has been implemented and used by dividing into a radio environment predictor (Planning tool) and a simulator (Simulator). That is, the conventional radio environment prediction and the simulator have been implemented in a separate shape for each different purpose.

First, the wireless environment predictor analyzes the received signal strength of the surrounding area when the base station is located at a specific point based on Geographic Information System (GIS) which has the geographic information of the desired area. Was used to determine. In this case, the received signal strength is generally calculated by the signal attenuation to each point on the map through the various propagation prediction models according to the transmission signal and the shape of the terrain, through which the signal strength with the neighboring base stations are calculated The service area and the handoff area are predicted.

As such, the purpose of the wireless environment predictor is to determine the optimal base station location and transmission power in the area to be serviced. This is done on a computer with geographic information system or digital map data that contains geographic information and location information of the area.

In order to determine an optimal base station location and transmission power in a region to be serviced through a radio environment predictor, first, a base station is assumed in an arbitrary region of a predetermined region, and information such as transmission power is determined. Subsequently, when the base station and the transmission power, etc. are determined, the area is subdivided into pixels of a certain size, where each pixel can calculate the size of the received signal according to the distance from the assumed base station and the terrain environment. have. In this case, the equation of the received signal attenuation used is a formula generated through various propagation prediction models.

Next, when the forward signal attenuation value of each pixel and all of the base stations around it is calculated, the service radius and the handoff area between the base stations are calculated when the base stations are located at any place in the region. . Also, the signal attenuation in the reverse direction is calculated with the same assumptions as the forward direction.

As such, the radio environment predictor is mainly used to determine the location of the base station and transmit power in a specific area.

On the other hand, as shown in Figure 1, the simulator sets the actual base station structure, not the actual environment, and then model the actual call processing by modeling the operation of the terminal in each base station.

The main use of such conventional simulators is to test the acceptable capacity of a wireless network. Therefore, the main results of the simulator are average values in the form of the number of users a base station can accommodate, Erlang capacity, capacity change according to power control accuracy, handoff call rate, and capacity depending on call blocking. Calculated in form

As such, the conventional simulator simulates each arc in a virtual space, not in the actual region, and evaluates the adequacy of the capacity or system variables of the wireless network. There was a problem that could not reflect.

For example, a conventional simulator does not consider topographic information and is acceptable at each base station when an arc occurs at each point in a normal base station form (i.e., in a hexagonal planar distribution or in a Manhattan-shaped street distribution). It was used to analyze the dose. Such a conventional simulator is for testing the adequacy and performance of a specific algorithm of a wireless network or a specification of a physical layer, and there is a problem in that it is impossible to derive a variable considering the environment of a service area. In addition, there is a problem that can not perform a wireless function for the abnormal operation of the wireless network.

In order to solve the problems described above, the present invention simulates the actual wireless network environment on a computer by generating and moving each call on the geographic information system of the wireless communication system, thereby predicting the wireless environment and calculating system variables. It is an object of the present invention to provide a computer-readable recording medium recording a simulation method for optimization and a program for realizing the same.

The present invention for achieving the above object, in the simulation test method for performance analysis of the wireless network in a wireless communication system, in order to simulate the actual service target area, the modeled service modeled by modeling the base station environment of the service target area A modeling step of dividing all regions in the target area into pixels having a predetermined size and arranging predicted results for each pixel in a vector form; A simulation test condition setting step of setting the simulation test conditions by determining the environmental variables and the generating conditions actually used in the simulation test base station of the service target area; And a simulation step of simulating service quality for each arc inside the simulation target base station and the simulation target base station of the entire service target area through the arrangement of the vector form according to the set simulation conditions. Characterized in that made.

On the other hand, the present invention, in order to simulate the actual service target area in the wireless communication system having a processor for the simulation test for wireless network performance analysis, the service target modeled by modeling the base station environment of the service target area Dividing all regions in the region into pixels of a predetermined size and arranging the predicted result values for each pixel in a vector form; A function of setting a simulation condition by determining an environment variable and a generating condition which are actually used by the simulation target base station of the service target area; And in accordance with the set simulation conditions, to implement a function of simulating service quality for each of the simulated base station and the inside of the simulated base station of the entire service target area through the arrangement of the vector form. A computer readable recording medium having recorded a program is provided.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

2 is an exemplary configuration diagram of a hardware system to which the present invention is applied.

The hardware system to which the present invention is applied implements the simulator 21 for analyzing the wireless network environment based on the actual environment. This simulates the actual mobile communication environment in the simulator 21 by generating and moving each call on the geographic information system, rather than the hexagonal base station model (see FIG. 1) as in the conventional simulator.

To this end, the base station is arranged in the geographic information system with the same configuration information as the actual environment, and the related variables are set to the same value. It also approximates the real environment by moving arcs generated at any location on the map at any speed and direction. At this time, each point on the map is decomposed into a certain size, and the signal attenuation between each point and the neighboring base stations is pre-tested before the simulation test in the simulator 21 using the wireless environment tool 25. It is calculated and stored in the common memory 22 in the form of an array. Thereafter, the simulator 21 evaluates the quality of each call based on the values stored in the array in the common memory 22 at each stage of the simulation and approximates an algorithm related to the wireless network.

The simulator 21 for simulating a wireless network simulates each arc on a map of the area where the actual service is being made. That is, the radio network is configured by modeling the base station environment of the target area in the same manner, and the radio wave environment of the target area is simulated by calculating the values measured by the radio environment predictor 25 in advance during the preprocessing. Therefore, the simulator 21 simulates the derivation of optimized system variables and system obstacles in consideration of the environment in the target area.

The common memory 22 is a storage device having information on the status and test results of each arc created in the area when the simulator 21 simulates a specific area. It is used to process and update it at (23,24).

The high speed DSP forward and reverse processing modules 23 and 24 perform high speed operations using respective high speed data signal processors (DSPs) according to the forward and reverse directions to process a large amount of computation of the simulator 21. do.

As described above, the hardware system to which the present invention is applied varies depending on the size of the target area or the number of codes to be performed, but since the simulator 21 requires a large amount of calculation, a high-speed DSP chip dedicated to calculation rather than a general computer environment is used. Use In addition, the forward and reverse directions are calculated in separate hardware 23 and 24, and each hardware 23 and 24 may be implemented by referring to and updating test information and results in the common memory 22. .

Now, a process of obtaining a general reception signal strength P _rx during a simulation process in the simulator 21 for predicting a wireless environment and optimizing system parameters in a mobile communication environment will be described in more detail.

When a signal transmitted from a transmitter arrives at a receiver in a mobile communication environment, the strength P _rx of the received signal is expressed by Equation 1 below.

Referring to Equation 1, "P _tx " denotes a transmission signal strength of a transmitter and "G" denotes an antenna gain. And, "L _path " means a simple path attenuation by the distance difference between the two points, "L _long " means the Long Term Fading generated according to the shape of the terrain where the receiver is located, "CF" Denotes a value that is corrected by subdividing each terrain. In addition, "L _short " means a short term fading caused by the movement of the receiver or the surrounding environment.

Finally, the received signal strength P _rx refers to the strength component of the received signal.

In general, the radio environment predictor 25 calculates a component "L _path " by a distance difference between a base station and an arbitrary point on the figure and an "L _long " component according to a feature of a terrain of an arbitrary point by a propagation prediction model. . In addition, by calculating the received signal strength of any point by the transmit and receive antenna gain "G" and the terrain correction index "CF", the propagation environment of the point is predicted.

Here, in the prediction of the radio wave environment, the received signal strength at the geographical point is calculated through the remaining elements except for the "L _short " item. However, the range of "L _short " varies slightly depending on the speed of the moving object, but fluctuates in the range of about 10 to 20 dB, which has a decisive effect on the received signal quality. In other words, the terminal near the base station is relatively less affected by the "L _short ", but the terminal located outside the service area is very severe degradation of the reception quality by "L _short ". Since the average value of "L _short " is close to 0, it can be ignored when calculating the service area by calculating the average reception quality.

However, the environment in which the terminal is performed cannot be accurately predicted by simply calculating the average value. Accordingly, the radio environment predictor 25 may calculate a more accurate service radius when modeling a call at a corresponding point in consideration of components by instant fading, rather than simply analyzing the average received signal strength of a specific point.

Existing simulators simulate the number of terminals and other variables that one base station can accept while maintaining the quality of a certain terminal in a virtual base station distribution environment.

The terminal of each base station of FIG. 1 is generated at an arbitrary position to calculate signal quality. Basically, the received signal strength uses the equation used in the propagation environment predictor. However, it does not have terrain information, and calculates the path attenuation component "L _path " by the distance between transmitter and receiver, and "L _long " and "L _short " calculate the received signal strength using probability distribution.

The output of the existing simulator is called call drop rate, call blocking rate, handoff rate according to capacity or handoff variable, capacity change according to power control error, signal-to-interference ratio of call channel ( Simulate Eb / Nt). This process allows the user to get adequate capacity and handoff parameters that the system can accommodate. The calculated system variables are used with the same value in the whole system.

However, the environment in which the actual system is operated varies from base station to base station, and these processes must be closely performed at each base station. Therefore, the received signal strength is calculated in consideration of the topographic information of the area that is actually serviced through the wireless environment predictor 25, and based on it, the simulation tester 21 performs the simulation test, and the actual service radius of the base station and its System variables to be used at the base station can be determined. This embodiment is performed for this purpose.

Figure 3 is an embodiment full flow diagram for the simulation method according to the present invention.

The present invention is to implement a simulator 21 for analyzing the wireless network environment based on the actual environment. In other words, each call is generated on a geographic information system rather than the hexagonal base station model (refer to FIG. 1), as in the conventional simulator 21, and simulated by the computer. The base station is arranged with the same configuration information as the real environment in the geographic information system, and the related variables are set to the same value. It also approximates the actual environment by moving arcs originating from any area on the map at any speed and direction. In addition, each point on the map is decomposed into a predetermined size, and signal attenuation between each point and neighboring base stations is calculated in advance before simulation using the wireless environment predictor 25 and stored in an array form. Thereafter, at each stage of the simulation, the quality of each call is evaluated through this arrangement and the algorithm related to the wireless network is approximated.

The terms used in the present invention are defined as follows.

Array Vector is an array which has the propagation loss value of neighboring base stations in every pixel of the region to be analyzed, and then it is generated in the pixel based on this value in the simulator 21. Determine the quality of the call.

Amplitude vector is an array used to predict the fast fading generated according to the moving speed of each arc generated and analyzed in the simulator 21.

In a mobile communication environment, instantaneous fading occurs due to the movement of a moving object, and a change in amplitude or phase of a received signal value is modeled by a random variable according to the frequency and speed of the moving object. Therefore, the amplitude change of the received signal modeled by this random variable is made into an array form, and the instantaneous fading at a specific point in the simulator 21 is extracted and used at an arbitrary point in the array.

As shown in FIG. 3, the simulation test method for performance analysis of the wireless network according to the present invention, if a specific region for performing the simulation test is determined first, before performing the simulation test in the simulator 21 The radio wave environment of the area should be predicted using the topographic information of the area to be desired and the configuration information such as the location, shape, and output of the existing base station (simulation preprocessing process) (301). This simulation preprocessing process results in dividing all regions in the area into pixels of constant size, with the predicted results of each pixel in an array of vectors. This will be described in more detail with reference to FIG. 4.

As shown in Figure 4, the process of predicting the propagation environment of the area with the topographic information of the area to be analyzed before the simulation and the configuration information such as the location, shape, output of the existing base station (that is, the simulation preprocessing process) 301 first selects a region to be simulated (401).

In general, the range of the target area includes all of the peripheral base stations that may affect the performance of one base station, and generally includes surrounding base stations.

Then, when the target area is determined (401), the base station is located on the map based on the base station environment configuration currently installed, and the output, antenna type, direction, etc. of the base station are configured to the same value as the actual environment (402). ).

Next, the target area is divided into pixels of a specific size (403). At this time, the size of the divided pixel is determined according to the accuracy of the simulation test, which is about 5x5m or 10x10m.

Then, for all the pixels in the target area (404), the received signal strengths from neighboring base stations are calculated (Equation 1) (405) and the result is stored in an array vector of each pixel ( 406). At this time, in (Equation 1) "L _short" portion are excluded, this _"short L" portion is calculated in each of the fading value calculation unit 309 when performing simulation.

Finally, once the array vector is calculated (406) for all the pixels (406), an amplitude vector is calculated to predict the fast fading that occurs according to the movement speed of each arc ( 407). Here, the amplification vector is a model of instantaneous fading, and the received signal strength received by the instantaneous fading is calculated through probability distribution according to the speed of the terminal and the visible distance from the base station. This amplification vector is used as an "L _short " item when calculating (Equation 1) for the arc located in each pixel in the fading value calculation process 309 of each arc during the simulation. That is, in the fading value calculation process 309 of each call, the received signal of each pixel is calculated by the sum of the value calculated by the array vector and the value determined by the amplification vector according to whether the pixel is visible to each base station and its speed. do.

The results of the simulation pretreatment process 301 are expressed as an Amplitude Vector modeling an array or instant fading as shown in FIG. 5.

As shown in FIG. 5, the array vector includes a signal attenuation component term (position_data [cell] .constant_loss) with base stations adjacent to each pixel of the simulation target region, and a position_data position term for each position. [cell] .los_nlos) and the base station name (position_data [cell] .bs_name).

On the other hand, looking at the Amplitude Vector modeling the instant fading, "Ray_5km [m]" is not the visible distance between the pixel and the base station, it is an array of instant fading components applied when the movement speed of the arc is 5km. In addition, "Rac_5km [m]" is a visible distance between the pixel and the base station, and is an array of instantaneous fading components applied when the movement speed of the call is 5 km.

On the other hand, after the pre-treatment of the simulation test 301, the environmental variables actually used in the target base station are set, the purpose of the test is defined, and the conditions of call generation (ie random area generation, specific area generation, The number of test calls, etc.) (302). After that, it is analyzed whether the set simulation condition is satisfied (303).

As a result of the analysis, if the set simulation conditions are not satisfied, the test is continued for all calls (ie, calls within the target base station and the base station) in the entire target area (305 to 312). That is, first, each base station (304) performs in-base call generation, capacity analysis, service area analysis (305 to 307), and next, each call in the base station (308) fading processing, call quality, The quality of each call is evaluated by analyzing handoff, power control, call loss processing, and position movement (309 to 312). Here, one test loop (305 to 312) is a power control cycle unit which is the minimum unit of quality determination, and is 1.25 msec in the case of the CDMA system. Looking at this in more detail as follows.

First, the process of the generation, capacity analysis, service area analysis (304 to 307) in the base station for each base station is as follows.

In step 304, it is determined whether a test for all base stations belonging to the current test loop is performed (304).

As a result of determination, if all the base stations are tested, it is again analyzed whether the simulation conditions are satisfied (303) to determine whether the test is continued.

As a result of the determination, if all the base stations have not been tested, a new call in the base station is attempted for each base station (305). This will be described in more detail with reference to FIG. 6.

As shown in FIG. 6, the process of generating a new call 305 within the base station for each base station first determines whether a call generation condition is satisfied (601), and generates a new call if the call generation condition is not satisfied. (602), the initial position of each arc is determined (603). Thereafter, the initial mortgage station is determined according to the array vector of pixels at the initial position (604), and it is checked whether call generation is possible according to the determined capacity of the current mortgage station (605). At this time, if the reproducibility is possible according to the test result, a related database (DB) is generated (606), otherwise the reproducibility is blocked (607).

On the other hand, after performing a new call generation process 305 of the corresponding base station for each base station, the current capacity of each base station is analyzed (306). That is, the capacity is analyzed based on the transmission power of the base station, the number of reception calls, and the like. Thereafter, the service area of each base station is analyzed (307). That is, the determination of the base station and the handoff area based on the received signal strength of each pixel are analyzed.

Meanwhile, when the current generation, capacity analysis, and service area analysis processes 305 to 307 for the base station are performed, quality evaluation processes 308 to 312 for all calls in the base station are performed.

In step 308, a test is performed on all calls in the base station in the current test loop (308).

As a result of the test, if all the calls in the base station are tested, it is determined whether the test is performed on other base stations in the current test loop (304).

As a result of the test, if all the calls in the base station have not been tested, the fading value of each call is calculated according to Equation 1 (309). In this case, the received signal of each pixel in the fading process is calculated by the sum of the value calculated by the array vector and the value determined by the amplification vector according to whether the pixel is visible from each base station and its speed. That is, according to the pixel where each arc is located, the remaining parts except for "L _short " can be known through an array vector, and the "L _short " part is an amplification vector which is determined by the visibility of the pixel and each base station and the speed of the arc. This is the value of the current index of.

Of the current _"short L" value of the test loop and the following test loop as shown in the example of the fading amplification (Amplitude) vector after the treatment shown in Figure 7 was _"short L" value.

Referring to FIG. 7, multiple amplification vectors can be created depending on the speed and visibility of the moving object, and an arbitrary index value is determined according to the initial occurrence of each arc, and the next loop is used by increasing the index of the current loop. do. Here, the time interval of the index is the same as the power control period which is a time unit of the loop.

The following structure is determined as a result of the fading process.

struct {

       char serving_handoff;

       char channel_model;

       long index_array;

       char short_fading;

       char overhead;

       char self_traffic;

       char total_traffic;

} fading_results [cell]

Here, each call is represented by seven structure fields and all neighboring cells in the pixel position of the current test loop.

As a result of fading processing, the "serving_handoff" field indicates whether this base station is a mortgage station or a neighbor base station, and the "channel_model" field indicates which amplification vector is used to calculate the "L _short " value with this base station. The "index_array" field indicates the position of the current index in the amplification vector with this base station, and the "short_fading" field represents the value of the amplification vector in the current index and this value is "L _short ". In addition, as a result of fading processing, the received signal strength field (overhead) of the pilot signal with each base station at the location of the current call, its own communication channel received signal strength field (self_traffic), and the rest of the talk channel except itself Signal strength field (total_traffic). Here, the "self_traffic" field may not be expressed unless the current call is connected with the corresponding base station.

On the other hand, after the fading value calculation process 309 of each call, the signal-to-interference ratio (Ec / It) of the overhead channel of the current call, the signal-to-interference ratio (Eb / Nt) of the call channel, and the estimated frame based on the result of the fading process. An error rate (Estimated FER), an estimated bit error rate (Estimated BER), etc. are calculated (310). At this time, the process of measuring the call quality based on the fading value is only a known technique for measuring the call quality of the radio section in the CDMA mobile communication system, etc., and thus, the detailed description thereof will be omitted.

Next, a soft handoff of each call is determined based on the signal-to-interference ratio of the overhead channel (311), and power control, call loss processing, and position shifting are performed for each call (312).

The purpose of simulating the wireless network according to the present invention as described above is to model the actual system as much as possible. In this case, by approximating and modeling various algorithms used in the wireless network, individual calls perform functions similar to those in the actual system, and the system variables of the base station also operate similarly to the actual system, thereby enabling various system variables in the mobile communication environment. Can be optimized for the base station and the wireless network can be optimized by predicting the wireless environment considering the characteristics of each region.

The present invention described above is capable of various substitutions, modifications, and changes without departing from the spirit of the present invention for those skilled in the art to which the present invention pertains, and the above-described embodiments and accompanying It is not limited to drawings.

As described above, the present invention optimizes various system variables that can be differently applied to each base station through a simulation test to the base station, and simulates a call in a target area, thereby realizing a service area and a handoff area of the base station. Can be tested. In addition, it is possible to comprehensively analyze the impact of changing a specific system variable, thereby reducing the effort of measuring the target area after changing the variable as in the conventional method, and analyzing the effect by modifying various variables. Through this, it is possible to optimize the wireless network in consideration of the characteristics of each region in the mobile communication system.

Claims (7)

In the simulation test method for performance analysis of wireless network in wireless communication system, In order to simulate the actual service target area, modeling is performed by modeling the base station environment of the service target area and dividing all regions in the modeled service target area into pixels having a predetermined size and arranging the predicted result values for each pixel in a vector form. step; A simulation test condition setting step of setting the simulation test conditions by determining the environmental variables and the generating conditions actually used in the simulation test base station of the service target area; And A simulation test step of simulating the quality of service for each arc inside the simulation target base station and the simulation target base station of the entire service target area through the arrangement of the vector form according to the set simulation conditions. Simulation method for wireless network performance analysis comprising a. The method of claim 1, The modeling step, Determining the service target area; Placing the simulated base station in the service target area on a map based on the configuration of the base station environment currently installed, and configuring the output, antenna type, and direction of the simulated base station to the same value as the actual environment; ; Dividing all regions within the service target area into pixels of the predetermined size; Calculating received signal strengths from neighboring base stations for all the pixels in the service area, excluding the instant fading component, and storing the result in an array vector of each pixel; And Computing an Amplitude Vector to Predict Fast Fading Occurred According to the Movement Speed of Each Arc Simulation method for wireless network performance analysis comprising a. The method according to claim 1 or 2, The simulation step, A call generation step of generating a new call for each base station in the simulation target base station according to the set simulation condition; Analyzing a capacity based on the transmission power of each base station or the number of reception calls; Analyzing a service area of each base station; A fading value calculating step of calculating a fading value for all calls in the simulation target base station; Based on the fading value, the signal-to-interference ratio (Ec / It) of the overhead channel of the current call, the signal-to-interference ratio (Eb / Nt) of the call channel, the estimated frame error rate (Estimated FER), and the estimated bit error rate (Estimated BER) are calculated. Doing; And Determining the soft handoff of each call based on the signal-to-interference ratio of the overhead channel, and performing the power control, call loss processing, and position movement for each call to evaluate the quality of service of each call. Simulation method for wireless network performance analysis comprising a. The method of claim 3, wherein The call generation step, Creating a new arc and determining an initial position of each arc according to the call generation condition; Determining an initial mortgage station according to the array vector of pixels of the determined initial position, and checking whether call generation is possible in accordance with the determined capacity state of the current mortgage station; And As a result of the inspection, if the reproducibility is possible, creating a related database (DB), otherwise blocking the regeneration Simulation method for wireless network performance analysis comprising a. The method of claim 3, wherein The fading value calculating step, For all calls in the base station to be tested, the portion of the call except for the instant fading component is obtained through the array vector, and from the current index of the amplification vector determined according to the visibility of the pixel and each base station and the speed of the call. Simulation method for wireless network performance analysis, characterized in that the instantaneous fading component is extracted. The method of claim 4, wherein The pixel of the predetermined size, The simulation method for the wireless network performance analysis, which is determined according to the accuracy of the simulation test, which is "5x5m" or "10x10m". In the wireless communication system equipped with a processor for the simulation test for the performance analysis of the wireless network, In order to simulate the actual service target area, the base station environment of the service target area is modeled, and all regions in the modeled service target area are divided into pixels having a predetermined size, and the resultant values for each pixel are arranged in a vector form. ; A function of setting a simulation condition by determining an environment variable and a generating condition which are actually used by the simulation target base station of the service target area; And A function of simulating service quality for each of the simulated base station and the inside of the simulated base station of the entire service target area through the arrangement of the vector form according to the set simulation conditions. A computer-readable recording medium having recorded thereon a program for realizing this.

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