KR20050071285A - Method for optimizing antenna configuration of base station in mobile network - Google Patents

Abstract

The present invention relates to a method for optimizing a base station antenna of a mobile communication network, and to analyze the radio wave attenuation effect and call volume distribution of an area covered by a base station of a mobile communication network, By automatically calculating and installing the azimuth, tilt angle, and output, it is possible not only to minimize repetitive work in the field by manpower but also to simultaneously perform optimization of several base station antennas.

Description

METHOD FOR OPTIMIZING ANTENNA CONFIGURATION OF BASE STATION IN MOBILE NETWORK}

The present invention relates to a method for optimizing a base station antenna of a mobile communication network, and more particularly, in order to optimize a radio wave environment of an area covered by a base station of a mobile communication network, analyzing a radio wave attenuation effect and a call volume distribution of the corresponding base station. Optimization method of base station antenna of mobile communication network that can automatically calculate and install the optimum azimuth, tilt angle, and output of antenna to minimize the repetitive work in the field by manpower and to simultaneously perform optimization of several base station antennas It is about.

In general, in order to optimize the mobile communication network by PCS (Personal Communication Service) or CDMA (Code Division Multiple Access) system, base station basic test, coverage optimization, system capacity optimization, exchange hard handoff optimization, call quality optimization and location registration success rate The optimization is done through optimization steps.

At this time, in order to optimize the coverage and increase the radio wave environment, the antenna was installed to adjust the azimuth, tilt angle, and output of the antenna to optimize the coverage area.

However, in order to optimize such values, it is possible to adjust the output strength of the pilot by simply using the radio wave attenuation index while repeating the process of adjusting and measuring by the operator's experience and rough judgment in the field, and also according to the height of the center of the base station. When the coverage was not adjusted by the output of the base station, the coverage was adjusted by adjusting the tilt angle of the antenna.

In addition, when the overall coverage is large and the handoff area between neighboring base stations is so large that mutual interference is severe, measures are taken to reduce the interference by adjusting the azimuth angle of the antenna from about 3 degrees to 5 degrees. In addition, in order to increase the reception strength of the terminal or the success rate of handoff, the coverage is optimized by changing the main direction of the antenna itself so that the terminal of the main road is serviced.

In order to optimize the base station antennas, the number of base stations that can be optimized at a time is limited as well as the huge manpower to optimize the base station antennas by optimizing the base station antennas according to the operator's experience and approximate judgment. And time-consuming problems.

The present invention was created to solve the above problems, and an object of the present invention is to analyze the radio wave attenuation effect and the call volume distribution of the area to optimize the radio wave environment of the area covered by the base station of the mobile communication network. Optimization method of base station antenna of mobile communication network that can calculate and install azimuth, tilt angle, and output which are optimal antenna antennas automatically, minimizes repetitive work in the field by manpower, and can simultaneously optimize several base station antennas In providing.

The present invention for realizing the above object is to set an analysis area and analyze the radio wave attenuation of the analysis area based on the information of the region and the base station to be analyzed for optimization, and the radio wave attenuation centering around the base station Dividing the cell by allocating the analysis areas to the adjacent sites through the pseudo distance function, and subdividing the cell by dividing the cell and reflecting the balance index according to the distribution of call volume between adjacent base stations in the pseudo distance function; After subdividing, setting the azimuth angle of each sector with evenly distributed call volume and low softener handoff at the boundary of neighboring sector areas, and setting the azimuth angle of each sector, Find the call density in each sector with respect to the distance, and then move the main beam toward the center of gravity of the call density. Setting the angle of inclination of each sector, and setting the angle of inclination of each sector, and setting the transmission power of each sector so that the analysis area having a good pilot Ec / Io in the sector for each sector is above a certain ratio. And an optimization improvement step of repeating the step of setting the azimuth, tilt angle, and transmission power of each sector after newly dividing the cell by setting the transmission power for each sector and reflecting the actual traffic to the pseudo distance function. It is done.

The pseudo function to repartition the cell above It is characterized by that.

only, - Is the pseudorange function due to radio attenuation,

- Is a parameter for call balance

At this time Is calculated by the following equation to balance the call volume between adjacent base stations.

However,-T (S): call volume in the analysis area,

- : Average call volume of adjacent base stations

-K: Currency Balance Index (> 0)

-F: correction factor (> 0)

In addition, after the step of subdividing the cell, the minimum coverage radius and the maximum coverage radius are set for each site, so that the analysis area within the minimum coverage radius is always assigned to the cell of the corresponding site, and the analysis area outside the maximum coverage radius is stored in the cell of the site. Characterized in that it further comprises the step of excluding.

In the step of setting the azimuth angle of each sector, it is characterized by being obtained by the following equation to set the azimuth angle.

only, - : Each sector

- : Currency variation by sector

- : Total call volume in the sector-to-sector softener handoff zone.

- : Currency volume in each sector

In the step of setting the azimuth angle of each sector, the azimuth angle of each sector is sequentially set so as to be repeatedly set to a minimum value.

The call volume density for setting the inclination angle from the above is characterized by the following equation.

only. - Is the azimuth range of the sector

r: distance from the base station

-T: call volume

In addition, the center of gravity of the currency distribution is characterized by the following equation.

In the step of setting the transmission power for each sector, after setting the transmission power for each sector, the transmission power for each sector is repeatedly set until there is no change of the pilot Ec / Io due to the interference for each sector.

At this time, the transmission power for each sector is characterized in that it is repeatedly obtained by the following equation.

_-When (Ec / Io) _tgt ≤ (Ec / Io) _μ

new Power = old Power + (Ec / Io) _tgt- (Ec / Io) _μ

_-When (Ec / Io) _tgt > (Ec / Io) _μ

new Power = old Power + α ((Ec / Io) _tgt- (Ec / Io) _μ )

-(Ec / Io) _μ = 100- (good pilot Ec / Io ratio; (Ec / Io) _tgt )

-a constant less than or equal to 1

In the optimization improvement step above, the actual traffic is characterized by the sum of the call volumes of the analysis region having a good pilot Ec / Io.

At this time, the pseudo distance function for newly dividing the cell is characterized by the following equation.

only. -

- : Average call volume by good pilot Ec / Io between adjacent base stations

-K _G : Constant for controlling the effect of cell division

In the step of newly dividing the cell and repeating, the cell is repeated until there is no change in azimuth, inclination, and transmission power.

The base station is characterized in that the three sector base station.

On the other hand, when the base station is 1 sector or 2 sectors, it is calculated by adding the horizontal gain and the vertical gain of the antenna to the pseudo distance function due to the attenuation.

In the case where the base station is 1 sector or 2 sectors, the pseudo distance function is obtained by the following equation.

However,-K _h , K _v : constant for cell division

-θ, φ: horizontal and vertical angle formed by the antenna main beam and sector tb in sector t

- ,: Horizontal and vertical gain of the antenna of sector t

In addition, when the base station is composed of 1 sector or 2 sectors, it is characterized by optimizing only the inclination angle or the transmission power.

Hereinafter, exemplary embodiments of the present invention will be described with reference to the accompanying drawings. In addition, this embodiment is not intended to limit the scope of the present invention, but is presented by way of example only.

1 is a flowchart sequentially illustrating a method for optimizing a base station antenna of a mobile communication network according to the present invention.

First, in order to optimize the mobile network configuration in a given area, an optimization scenario is constructed using the information of the region to be analyzed and the base station. To do this, set an area of analysis and place a set of sites on it.

At this time, the analysis area inputs geographic information such as altitude information, terrain characteristics (mountains, rivers, etc.), building and road information, and residential characteristics (population cities, parks, etc.) and information such as distribution of call volume per analysis unit area. .

Then, the site set that inputs the information about the base station, the base station location, the height of the antenna tower, the antenna information, etc. is placed on the analysis area set above.

At this time, the size of the analysis area is a polygon, such as square or triangle, and has the analysis results such as call volume, radio wave attenuation, and pilot Ec / Io as the value. Since it takes a long time to perform the optimization and optimization, set the size in consideration of this.

Then, each analysis region will be referred to as a bin.

The propagation loss model of the bin is set and the system and network environment related parameters are set. In this way, the propagation attenuation analysis is performed on the bins based on various input information and the set items in the bin (S10).

After setting the bin as an analysis area and analyzing the radio wave attenuation, the cells are divided by assigning the bins to the nearest site through the pseudo distance function by the radio wave attenuation around the site (S20).

That is, a pseudo distance function is constructed and given bins are divided into cells according to the distance function to set virtual coverage for each site.

At this time, as shown in Figure 1 pseudo-distance function between the site (s) and the bin (b) is Where pathloss (s, b) is a function of the propagation damping model between site (s) and bin (b) Is a different value for each site, which is determined by considering the distribution of call volume around the site and the distribution of terrain (altitude, height of a building). Is set to 1 Set to 0 to split the cell without considering the distribution of the traffic volume or geographical characteristics.

At this time, most base stations have three sectors, but base stations having one sector or two sectors may be actually arranged.

Thus, for such 1-sector or 2-sector base stations, when S is called a 1-sector or 2-sector base station and t is a sector of S, the pseudo-distance function m _s between sector t and each empty b first. (b) is defined as follows.

Here, K _h = 3/4 and K _v = 1 are constants selected for proper cell division, and θ and φ are the magnitudes of the horizontal and vertical angles formed by the antenna main beam of the sector t and the vertical tb. Wow Is the horizontal and vertical gain of the antenna of sector t. In addition, the function f is a function as shown in FIG. 2 defined in the interval [0, 360], and is defined as '0' at the direction angle toward which the antenna main beam of t is directed, and is defined as '1' at the other direction angle. It is determined whether or not the gain is reflected, and the distance is set far in the area where the main beam of the antenna does not reach.

Thus, even in the case of a 1-sector or a 2-sector base station, the distance function between each sector and the bin of the site S can be set.

For each bin, the distances to the surrounding sites are calculated using the pseudorange functions above, and the bin is assigned to the site that has the smallest value among the distances obtained. This is mathematically It is expressed as

In this way, each bin belongs to a site around it, and the given analysis area is divided into cells centered at the site.

This division of the region is generally called a Voronoi diagram and is configured as shown in FIG. 3.

In this way, after splitting a cell through only radio attenuation, a site with a large amount of call compared to a neighboring site in consideration of the call volume balance between adjacent sites reduces the size of the cell, thereby dividing the cell more efficiently and reasonably (S30). .

Specifically, the pseudorange function for subdividing cells Determine by reflecting the distribution of the call volume of the surrounding site.

Where is the pseudo distance function of site S, Is a parameter for improving the currency balance. In other words, the pseudo distance function of the site with more call volume If you set a large value for Set the value of to small.

Where each site s Finds an appropriate value by repeating the following method. This process is called cell leveling.

First, the cell leveling maximum iteration number N, an adjustment factor F (> 0) and a traffic balance index K (> 0) are set. The smaller F, the finer the pseudorange function, the more precise leveling is possible, and the smaller the K, the stronger the call balance condition. Of course, these values are set in consideration of execution time and system capacity.

Second, without considering the distribution of the call volume, the cell division is performed by radio wave attenuation to obtain.

Third, call volume distribution for each site After all values of are set to 0, the following process is repeated N times.

① Find the call volume T (S) in the area that each site S is in charge of.

② Draw Adjacency graph showing the adjacency between the sites.

③ Average call volume of adjacent sites for each site S Obtain

④ New call volume distribution for each site S To

And each pseudo distance function Leave it as.

⑤ If there is a value changed in ④, cell division is applied again by applying it, and if there is no changed value, cell leveling is stopped.

As the cell divided through the cell leveling is divided again, the amount of calls is equally distributed in each bin as shown in FIG. 4. Therefore, the call volume of each site is proportional to the size of the cell, and the larger the cell size, the better the call balance.

At this time, considering the balance of the call volume with the adjacent site, cell leveling is performed by comparing the call volume with the neighboring site using 3 times the call amount in the 1-sector and 3/2 times the call amount in the 2-sector. .

As a result of proceeding the cell leveling to N = 30, F = 1, K = 0.5 as shown in Fig. 2 it can be seen that the cell leveling effect is large in the portion indicated by ○.

After cell repartitioning, the minimum coverage radius and the maximum coverage radius are set for each site so that the area within the minimum coverage radius is always included in the cell area of the site, and the area outside the maximum coverage radius is unconditional. By excluding it, the non-uniform bins are forcibly controlled by geographic features.

After subdividing the cells in this way, the azimuth angles of the sectors where the call volume is evenly distributed to each sector area of the site and the softer handoff is less at the boundary between neighboring sector areas are set (S40).

In other words, when setting the direction angle of the antenna, it is important to consider the amount of call balance and softer handoff so that the call volume is evenly distributed so that no call volume is concentrated in only one sector. Try to avoid a lot of handoffs.

One site generally assumes three sectors and sets the direction angle.

If the site is composed of one or two sectors, the direction angle may be determined according to the intention of the operator. Therefore, the direction angle is not optimized, but only the inclination angle or the transmission power optimization is performed through the predetermined direction angle.

Thus, three sectors each Currency deviations by sector The total amount of calls in the sector-to-sector softoff area Write here Represents the amount of currency in each sector, Denotes the amount of softener handoff present between the two sectors.

As mentioned earlier, if the volume of calls is distributed evenly so that no volume is concentrated in only one sector, and there is not much soft handoff at the boundary of neighboring sectors. Wow Should be the minimum.

However, this problem can be seen as an optimization problem with multiple objective functions, which minimizes both functions simultaneously. Since may not exist, it can be composed of the following objective functions.

Here, the superscript w of M has a value between 0 and 1, and the subscript op means optimal, which is used to distinguish it from the suboptimal concept that follows. Indicates the direction of the three antennas.

Assuming there are three sectors, the minimum unit of angle is 1 degree when the three antenna directions need to be determined. The number of is 360 × 360 × 360 = 46,656,000 branches. Multiply by the number of sites in the analysis area given here to obtain a larger number. Therefore, it is very inefficient to calculate the value of the objective function in all of these cases because the amount of currency in the sector must be calculated each time one objective function is calculated.

Thus, the direction angle of the sub-optimal antenna is set in two steps as follows.

First, the antenna direction is determined first. That is, the area of the site to be sectorized is called Ω, and each of the three sectors is The area of the sector S _α is the antenna main beam direction in Ω. It is called a fan-shaped shape that stretches by C / 2 from side to side. In this case, C is a value of about 140 to 160 degrees depending on the width of the antenna beam.

Similar to other sectors It is similarly defined for.

Then, the main beam direction of each sector Assuming 120 degrees to each other, and the total amount of calls in each sector Call volume in each handoff area Assume that

This may be represented as shown in FIG. 5.

Then, the inter-sector call volume imbalance V and the total call amount H in the handoff area can be defined as follows.

However, if only one antenna main beam direction is determined, the antenna main beam directions of the other sectors are automatically determined. Therefore, V and H are the antenna main beam directions of the sector S _α . It can be regarded as a function of).

Therefore, the optimization objective function is Can be expressed.

Where subscript is the abbreviation for sub-optimal Since we may not be able to minimize θ by Speaking of each antenna main beam direction Becomes

That is always To minimize Is a sub-optimal solution.

Thus, the original objective function There is a possibility that there will be a solution to make.

After determining the main beam directions of the three antennas at 120-degree intervals, the antenna main beam direction is changed little by little within the given range, and the result is repeated so that a smaller value is obtained than the minimum value obtained in the previous step.

When the allowable change in the direction angle of the antenna is -N≤λ≤N, the direction angle is set by the following procedure.

① the antenna direction of the first sector is λ = -N,... , -1.0.1.… Find the direction angle of the antenna by changing N in turn, and making the value smaller than the existing value.

A. λ = -N,... , -1.0.1.… , N Let this be the minimum Find it.

B. Back side Convert to,

C. Otherwise Leave the value of.

② the antenna direction of the second sector is λ = -N,... , -1.0.1.… Find the antenna direction angle that changes by, N in order to have a smaller value than the existing value.

A. λ = -N,... , -1.0.1.… , N Let this be the minimum Find it.

B. Back side Convert to,

C. Otherwise Leave the value of.

③ the antenna direction of the third sector is λ = -N,... , -1.0.1.… Find the antenna direction angle that changes by, N in order to have a smaller value than the existing value.

A.λ = -N,... , -1.0.1.… , N Let this be the minimum Find it.

B. Back side Convert to,

C. Otherwise Leave the value of.

④ again Return to and change the angle within the given range to see if it is smaller than the function value in step ③. Repeat the same process for.

⑤ After repeating one cycle, if it doesn't get smaller than 2 times consecutively, stop.

As described above, the direction angle of the antenna is set such that the amount of variation in the amount of call per sector and the total amount of call in the sector-to-sector soft handoff area are minimized while the direction angle is repeatedly changed for each sector.

After setting the direction angles of the antennas, the call volume density in each sector with respect to the distance from the site is obtained, and then the inclination angles of the sectors are set so that the main beam is directed toward the center of the call density.

Monetary Density in Sectors ( )of The density function is a one-variable function of the distance r at the site. here Is the range of sectors determined in the previous step.

Therefore, the center of gravity of the call volume distribution is determined as shown in FIG.

Obtained by

Once the center of call volume in the sector is obtained, the distance from the center of call volume in the sector when h is the height of the antenna (considering the topography) as shown in FIG. Tilt angle t ₀ by Obtained by

After setting the inclination angle of each sector as described above, the transmission power of each sector is set so that the coverage area having the good pilot Ec / Io in the entire coverage area of the sector for each sector is equal to or greater than a predetermined ratio (S60).

The power of the antenna is the sum of the power occupied by each channel, and the power of the overhead channel has a significant effect on the coverage.As the power increases, the area of the antenna obviously increases, but it acts as an interference to adjacent sectors and other cells. Since it cannot be set unconditionally high, the power transmission power is optimized.

That is, in the transmission power optimization as shown in FIG. 8, the virtual coverage for each sector obtained by the cell division and the optimization of the antenna azimuth angle is set so that the corresponding sector is appropriately covered.

First, the reference value (Ec / Io) _tgt of good pilot Ec / Io is set. In this case, generally, a good Ec / Io value is -10 to -11 dB. The target ratio of the area having the pilot Ec / Io value above the reference value is set to Cov _tgt (%) in consideration of the call volume and the radio wave reduction of the virtual coverage area for each sector, and is set to μ = 100-Cov _tgt .

① Ec / Io is measured for each bin in the sector and Ec / Io distribution is calculated for each sector by applying the optimized direction angle, tilt angle and initial power value to all sectors.

Find the Ec / Io, ie, (Ec / Io) _μ , that corresponds to the lower μ% in the sector's virtual coverage by sector.

③ Find new transmission power for each sector as follows.

_-When (Ec / Io) _tgt ≤ (Ec / Io) _μ

new Power = old Power + (Ec / Io) _tgt- (Ec / Io) _μ

_-When (Ec / Io) _tgt > (Ec / Io) _μ

new Power = old Power + α ((Ec / Io) _tgt- (Ec / Io) _μ )

In this case, the unit of power output is dBm and the unit of Ec / Io is dB, and the constant α is a constant less than or equal to 1, and is appropriately selected to suppress excessive power increase, and may be repeatedly performed several times to optimize the power output. You can apply α differently in the iteration process.

In this way, after setting the transmission power for each sector, verifying that the azimuth, tilt angle, and transmission power of each sector have been changed from the previously set value, and having an optimal pilot Ec / Io which is actual traffic when the optimum value is improved. After the cell is newly divided by reflecting the sum of call amounts in the analysis area in the pseudo distance function, the optimization process for setting the azimuth, tilt angle, and transmission power of each sector is repeated to improve the optimization (S70) (S80).

However, if the azimuth, tilt angle and transmission power of each sector do not change from the previously set values, it is determined that the optimization is completed and ends.

As described above, the optimum values for the azimuth, the tilt angle, and the transmission power of each sector are first calculated, and the optimization results are verified and repeated in the next optimization to improve the optimization performance.

Therefore, each time the first optimization ends, the actual traffic is calculated for each sector. In this case, the actual traffic can be obtained by various criteria, but in the present invention, the value of the pilot Ec / Io is set to the sum of calls in bins in which the value of the pilot Ec / Io is larger than the coverage criterion. The cell split is refreshed using the previous cell split and the actual currency distribution.

In detail, the distance function for site S used in the previous cell division In the first pseudo distance function, the distance function using only attenuation The pseudo distance function would. At this time, the traffic at Site S is calculated as the sum of the traffics of the corresponding sectors. It is called. Then, using the Adjacency Graph from the previous cell division, the average value of the call volume of the sites adjacent to Site S is obtained. Is the new distance function at site S To Set to.

However, new call volume Where the constant K _G = 3 is a value that is appropriately chosen to control the effect of changes in cell division.

Distance function set for each site like this New cell division is performed using.

As described above, after updating the cell division, the optimization process is repeated until the cell azimuth, tilt angle, and transmission power are not changed, thereby improving the optimization.

As described above, the present invention analyzes the radio wave attenuation effect and the call volume distribution in the area covered by the base station of the mobile communication network, and automatically calculates the azimuth, tilt angle, and output which are the antenna optimal values of the base station. By enabling calculation and installation, it is possible not only to minimize repetitive work in the field by manpower, but also to simultaneously perform optimization of several base station antennas.

1 is a flowchart illustrating a base station antenna optimization method of a mobile communication network according to the present invention.

Figure 2 is a view showing the pseudo-distance between the site and the bin in accordance with the present invention.

3 is a function graph showing the direction angle of the 1-sector base station according to the present invention.

4 is a Voronoi diagram of cell division according to the present invention.

5 is a Voronoi diagram illustrating cell leveling after cell division according to the present invention.

6 illustrates a sector area and an intersector handoff area according to the present invention.

7 is a diagram illustrating a currency center of a sector according to the present invention.

8 is a diagram illustrating an inclination angle of an antenna according to the present invention.

9 illustrates virtual coverage of a sector according to the present invention.

Claims (17)

Setting an analysis area and analyzing radio wave attenuation for the analysis area based on the information of the region to be analyzed and the corresponding base station for optimization; Dividing a cell by assigning analysis regions to adjacent sites through a pseudo distance function based on radio attenuation around the base station; Dividing the cell and subdividing the cell by reflecting the balance index according to the distribution of call volume between adjacent base stations in the pseudo distance function; Setting the azimuth angles of the sectors each having a small amount of soft handoff at the boundary of neighboring sector areas after the cell repartitioning, in which the call volume is evenly distributed to each sector area of the base station; Setting the azimuth angle of each sector in the sector, and calculating the call density in each sector with respect to the distance around the base station, and then setting the inclination angle of each sector so that the main beam is directed toward the center of gravity of the call density; Setting the inclination angle of each sector in the sector and setting the output power of each sector such that the analysis area having a good pilot Ec / Io in the analysis area in each sector is equal to or greater than a predetermined ratio; Optimized improvement step of repeating the step of setting the azimuth, inclination angle, transmission power of each sector after newly partitioning the cell by setting the transmission power for each sector, reflecting the actual traffic to the pseudo distance function A base station antenna optimization method of a mobile communication network, characterized in that consisting of. The method of claim 1, wherein the pseudo-function for subdividing the cell is A base station antenna optimization method of a mobile communication network, characterized in that. only, - Is the pseudorange function due to radio attenuation, - Is a parameter for call balance The base station antenna optimization method of claim 2, wherein is calculated by the following equation to balance call volume between adjacent base stations. However,-T (S): call volume in the analysis area - : Average call volume of adjacent base stations -K: Currency Balance Index (> 0) -F: correction factor (> 0) The method according to claim 1, wherein after the subdivision of the cell, the minimum coverage radius and the maximum coverage radius are set for each of the sites. Steps to Exclude Zones from Cells at Your Site The base station antenna optimization method of a mobile communication network, characterized in that further comprises. The base station antenna optimization method of claim 1, wherein in the step of setting the azimuth angle of each sector, the azimuth angle is set by the following equation. only, - : Each sector - : Currency variation by sector - : Total call volume in the sector-to-sector softener handoff zone. - : Currency volume in each sector The method of claim 1, wherein in setting the azimuth angle of each sector, the azimuth angle of each sector is sequentially set to be the minimum value while being sequentially changed. The method of claim 1, wherein the call density for setting the inclination angle is obtained by the following equation. only. - Is the azimuth range of the sector r: distance from the base station -T: call volume The method of claim 1 or 7, wherein the center of gravity of the call distribution is calculated by the following equation. The method of claim 1, wherein in the setting of the transmission power for each sector, the transmission power is set for each sector, and then the transmission power for each sector is repeatedly set until there is no change in the pilot Ec / Io due to the interference for each sector. A base station antenna optimization method of a mobile communication network, characterized in that. 10. The method of claim 9, wherein the transmission power for each sector is repeatedly obtained by the following equation. _-When (Ec / Io) _tgt ≤ (Ec / Io) _μ new Power = old Power + (Ec / Io) _tgt- (Ec / Io) _{μ -When} (Ec / Io) _tgt > (Ec / Io) _μ new Power = old Power + α ((Ec / Io) _tgt- (Ec / Io) _μ ) -(Ec / Io) _μ = 100- (good pilot Ec / Io ratio; (Ec / Io) _tgt ) -a constant less than or equal to 1 The method of claim 1, wherein the actual traffic in the optimization enhancement step is a sum of call volumes of an analysis area having a good pilot Ec / Io. The base station antenna optimization method of claim 1, wherein the pseudo distance function for newly dividing a cell is represented by the following equation. only. - - : Average call volume by good pilot Ec / Io between adjacent base stations -K _G : Constant for controlling the effect of cell division The base station antenna optimization method of claim 1, wherein the cell is newly divided and repeated until there is no change in azimuth, tilt angle, and transmission power. The method of claim 1, wherein the base station is a three sector base station. The method of claim 1, wherein when the base station is one sector or two sectors, a horizontal gain and a vertical gain of the antenna are added to a pseudo distance function due to radio wave attenuation. 16. The method of claim 15, wherein the pseudo distance function is obtained by the following equation. However,-K _h , K _v : constant for cell division -θ, φ: horizontal and vertical angle formed by the antenna main beam and sector tb in sector t - ,: Horizontal and vertical gain of the antenna of sector t The base station antenna optimization method of claim 1, wherein the base station is optimized for an inclination angle and transmission power only when the base station is composed of 1 sector or 2 sectors.