JP5150547B2 - Station design support apparatus and computer program - Google Patents

Description

  The present invention relates to a station location design support apparatus and a computer program.

  Conventionally, in a cellular mobile communication system in which a plurality of base stations are arranged and a continuous communication service area is constructed by the communication area (cell) of each base station, as a technique for supporting base station station design, for example, Patent Documents 1 and 2 and Non-Patent Document 1 are known.

JP 2001-285923 A JP-T-2004-513537

Ericsson, “Planet EV”, [March 24, 2009 search], Internet <URL: http://www.ericsson.com/solutions/tems/network_plan/planetev.shtml> J. et al. Horomkovich, translated by Koichi Wada, translated by Toshimitsu Masuzawa, translated by Mitsuo Motoki, “Algorithm theory for difficult computation problems”, Springer Japan

  In the conventional technology described above, when adding a repeater device that relays radio waves to a place where the radio wave environment is locally poor, based on the simulation results performed under certain station design conditions, the original station design conditions The same simulation calculation is performed again by adding the installation conditions of the repeater device. However, when the simulation is performed by applying the unit of area division applied to the communication area of a general base station to the communication area of the repeater device, the area size to be analyzed is different, so the communication area of the repeater device It is difficult to obtain sufficient simulation accuracy for local analysis. For this reason, it is conceivable that the simulation is performed in a unit in which the communication area of the base station is divided into smaller than usual according to the communication area of the repeater device to be analyzed locally. The amount will increase.

  A similar problem occurs when a base station having a relatively small communication area is introduced for local countermeasures. For example, in a communication service area formed by a base station that provides a macro cell, a base station that provides a micro cell or a pico cell may be installed for local measures.

  The present invention has been made in consideration of such circumstances, and its purpose is to improve the ability to support local analysis when a wireless device for local countermeasures such as a repeater device is added in a cellular mobile communication system. At the same time, it is an object of the present invention to provide a station placement design support apparatus and a computer program that can suppress an increase in the amount of simulation calculations.

  In order to solve the above-described problems, a station placement design support apparatus according to the present invention includes a base station arrangement and a radio wave propagation environment of each base station, a radio equipment arrangement for local countermeasures, and each local countermeasure in a station design target area. The input unit for inputting the station design conditions for designating the radio wave propagation environment of the radio apparatus for the radio, the simulation unit and the required radio characteristics to be satisfied in each simulation unit, and the station design target area are specified by the station placement design conditions. A simulation model generation unit that divides a plurality of types of simulation units into sections, a radio characteristic calculation unit that calculates an assumed radio characteristic for each of the sections based on the station placement design conditions, and based on the station placement design conditions An optimization unit that performs an optimization process that maximizes the number of partitions satisfying the required radio characteristics, and a base station of each base station that is obtained as a result of the optimization process. An output unit for outputting an optimum value of the local measures for wireless device parameters optimum values and the local measures radio device station parameters, characterized by comprising a.

  In the station location design support apparatus according to the present invention, as the section, a first section in a basic simulation unit and a second section in a simulation unit in a range in which a local countermeasure is applied by installing a local countermeasure wireless device And a third section of a simulation unit in a range affected by the radio wave environment due to the installation of the local countermeasure wireless device, and each size of the second section and the third section is the first section It is characterized by being smaller than the size of the compartment.

  In the station location design support apparatus according to the present invention, the optimization unit performs weighting on the assumed radio characteristics for each section of the plurality of types of simulation units.

  In the station location design support apparatus according to the present invention, an evaluation function that comprehensively evaluates the assumed radio characteristics of the section in the station design target area is provided, and the evaluation function is a weighting factor for each section type. It is characterized by having.

  In the station placement design support apparatus according to the present invention, the optimization unit can take a range of base station parameters of each base station and a local countermeasure radio apparatus parameter of each local countermeasure radio apparatus by annealing. In an executable solution space composed of ranges, the optimum value of the base station parameter of each base station and the optimum value of the local countermeasure radio apparatus parameter of each local countermeasure radio apparatus are calculated.

The computer program according to the present invention includes a base station arrangement and a radio wave propagation environment of each base station, a radio equipment environment for local countermeasures, a radio wave propagation environment of each radio equipment for local countermeasures, and a simulation unit in the station design target area And a step of inputting a station design condition for designating required radio characteristics to be satisfied in each simulation unit, and a step of dividing the station design target area into a plurality of types of simulation unit sections designated by the station design condition; A step of calculating an assumed radio characteristic for each of the sections based on the station location design conditions, and an optimization process for maximizing the number of the sections satisfying the required radio characteristics based on the station position design conditions. And the optimum value of the base station parameter of each base station obtained as a result of the optimization process and Characterized in that it is a computer program for executing the steps, to a computer that outputs the optimum value of the measures radio device parameter place.
Thereby, the above-described station location design support apparatus can be realized using a computer.

  According to the present invention, in the cellular mobile communication system, it is possible to improve the support capability for local analysis when a repeater device is added, and to suppress an increase in the amount of simulation calculation.

It is a block diagram which shows the structure of the station location design assistance apparatus 1 which concerns on one Embodiment of this invention. It is a flowchart which shows the process sequence of the station location design assistance apparatus 1 shown in FIG. It is an example of the division of the station location design object area which concerns on one Embodiment of this invention. It is a block diagram which shows the structure of the optimization part 8 shown in FIG. It is a flowchart which shows the procedure of the optimization process which concerns on one Embodiment of this invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a block diagram showing a configuration of a station placement design support apparatus 1 according to an embodiment of the present invention. In FIG. 1, the station location design support apparatus 1 includes an input unit 2, an output unit 3, a database unit 4, a simulation model generation unit 5, a wireless characteristic calculation unit 6, a simulation data storage unit 7, and an optimization unit 8. The database unit 4 includes a map database 21 and a building database 22.

  FIG. 2 is a flowchart showing a processing procedure of the station placement design support apparatus 1 shown in FIG. In FIG. 2, first, the station location design support apparatus 1 performs initial settings such as input of station location design conditions and generation of a simulation model (step S1). Next, the station location design support device 1 performs simulation optimization processing (step S2). Next, the station placement design support apparatus 1 performs an output process of the optimization process result (step S3).

  Hereinafter, the station location design support apparatus 1 shown in FIG. 1 will be described in detail.

[Map database, building database]
The map database 21 stores map data of the service area of the cellular mobile communication system. The building database 22 stores information on buildings in the service area of the cellular mobile communication system.
Note that the map database 21 and the building database 22 are not necessary when the necessary map data and building information are included in the station location design conditions and input from the input unit 2 described later.

[Input section]
The input unit 2 inputs station location design conditions. The station design conditions include the base station arrangement and the radio wave propagation environment of each base station in the station design target area, the radio equipment environment for local countermeasures and the radio wave propagation environment of each local countermeasure radio apparatus, and the simulation unit and each The required radio characteristics to be satisfied in simulation units are specified. Examples of the local countermeasure wireless device include a repeater device that relays radio waves and a base station having a relatively small communication area. The base station having a relatively small communication area corresponds to, for example, a base station that provides a micro cell or a pico cell in a communication service area formed by a base station that provides a macro cell.

  As the station design target area, an area that is a target for station design is selected in map data of a service area of the cellular mobile communication system (hereinafter simply referred to as map data). As the base station arrangement, a place where the base station is installed is selected in the map data of the service area of the cellular mobile communication system. Similarly, the location of the local countermeasure radio apparatus is selected in the map data of the service area of the cellular mobile communication system as the local countermeasure radio apparatus arrangement.

  The radio wave propagation environment of the base station represents the propagation state of radio waves transmitted from the base station. Base station radio wave propagation environment input data includes base station parameters such as the number of antennas of the base station, antenna height, directivity pattern, tilt angle and transmission power range, information such as building arrangement and building height, path loss model and The parameter etc. are mentioned. Similarly, the radio wave propagation environment of the local countermeasure radio apparatus represents the propagation state of the radio wave transmitted by the local countermeasure radio apparatus. As the input data of the radio wave propagation environment of the local countermeasure radio apparatus, the local countermeasure radio apparatus parameters such as the number of antennas, antenna height, directivity pattern, tilt angle and transmission power range of the local countermeasure radio apparatus, the arrangement of the building, Information such as building height, path loss model and its parameters.

[Simulation data storage unit]
The simulation data storage unit 7 stores data of the simulation model generation unit 5, the wireless characteristic calculation unit 6, and the optimization unit 8. The simulation data storage unit 7 appropriately reads data from the simulation model generation unit 5, the wireless characteristic calculation unit 6, the optimization unit 8, and the output unit 3.

[Simulation model generator]
The simulation model generation unit 5 includes the base station arrangement and the radio wave propagation environment of each base station, the radio equipment for local countermeasures, and the radio equipment for local countermeasures specified within the station design target area specified by the station placement design conditions. Simulation model data is generated based on the radio wave propagation environment and the simulation unit.

  In the present embodiment, the station placement design target area is divided into three types of sections (hereinafter referred to as STP (Service Test Point)) on the map data. The first STP is a section of a basic simulation unit. The simulation when there is no local countermeasure wireless device is performed only by the first STP. The second STP is a section of a simulation unit in a range (hereinafter referred to as a countermeasure range) in which a local countermeasure is applied by installing the local countermeasure radio apparatus. The third STP is a section of simulation units in a range affected by the radio wave environment (hereinafter referred to as an affected range) due to the installation of the local countermeasure wireless device. The simulation in the case where there is a local countermeasure wireless device is performed in the first STP, the second STP, and the third STP. The sizes of the first STP, the second STP, and the third STP are included in the station location design conditions. Each size of the second STP and the third STP may be determined according to the required accuracy of local analysis. Each size of the second STP and the third STP is made smaller than the size of the first STP.

  FIG. 3 shows examples of the first STP, the second STP, and the third STP. In the first STP, the second STP, and the third STP, the station placement design target area 100 is divided on the map data. The sizes of the first STP, the second STP, and the third STP are included in the station location design conditions. Hereinafter, a method for generating simulation model data will be described in detail with reference to FIG.

  In FIG. 3, first, the entire range of the station placement design target area 100 is divided by the first STP. The countermeasure range is specified in units of the first STP as the station location design condition. Next, each first STP within the countermeasure range is divided into second STPs. In the example of FIG. 3, the first STP is equally divided into nine second STPs in the countermeasure range.

  Next, each first STP within the influence range is divided into third STPs. In the example of FIG. 3, the first STP is equally divided into four third STPs in the influence range. The influence range is specified in units of the first STP as the station placement design condition. Alternatively, the influence range may be calculated by the wireless characteristic calculation unit 6 based on the arrangement of the local countermeasure wireless devices and the radio wave propagation environment of each local countermeasure wireless device. As the influence range, for example, when it is assumed that the wireless device for local countermeasures transmits at the maximum transmission power, the range up to the limit assumption range where the standard received signal strength can be obtained is designated. In the example of FIG. 3, the influence range is specified so as to surround the countermeasure range.

  Next, based on the base station arrangement and the radio wave propagation environment of each base station, and the radio equipment environment for local countermeasures and the radio wave propagation environment of each local countermeasure radio apparatus, required radio characteristics to be satisfied by each STP, and each base station A range and initial value that can be taken by the base station parameter and a range and initial value that can be taken by the local countermeasure radio apparatus parameter of each local countermeasure radio apparatus are set. As the required radio characteristics, for example, a signal power to interference noise power ratio (SINR) and received signal strength are used.

  The simulation model generation unit 5 stores the generated simulation model data in the simulation data storage unit 7.

[Wireless characteristics calculator]
The radio characteristic calculator 6 calculates the assumed radio characteristic for each STP based on the station location design conditions. Examples of the assumed radio characteristics calculated here include carrier-to-interference and noise power ratio (CINR), SINR, received signal strength, and throughput.

  In the calculation of the throughput, the throughput is calculated based on the frequency bandwidth included in the station location design conditions. Further, the station design condition may include the density of active mobile stations, and the expected value of throughput obtained in each STP may be obtained in consideration of the distribution of mobile stations.

[Optimization section]
The optimization unit 8 uses the simulation model data generated by the simulation model generation unit 5 to perform optimization processing that maximizes the number of STPs that satisfy the required radio characteristics. The optimization unit 8 stores the optimum solution obtained as a result of the optimization process in the simulation data storage unit 7. The optimum solution has the optimum value of the base station parameter of each base station and the optimum value of the local countermeasure radio apparatus parameter of each local countermeasure radio apparatus. The base station parameters include the number of base station antennas, antenna height, directivity pattern, tilt angle, and transmission power range. The local countermeasure radio apparatus parameters include the number of antennas of the local countermeasure radio apparatus, antenna height, directivity pattern, tilt angle, and transmission power range. Details of the optimization unit 8 will be described later.

[Output section]
The output unit 3 outputs the optimal solution obtained by the optimization unit 8. The output unit 3 generates output data based on the data stored in the simulation data storage unit 7. Specifically, output data for presenting the optimum value of the base station parameter of each base station and the optimum value of the local countermeasure radio apparatus parameter of each local countermeasure radio apparatus is generated. Furthermore, output data for presenting assumed radio characteristics (CINR, SINR, received signal strength, throughput, etc.) in each STP may be generated. For example, output data for displaying such information on a map is generated. The CINR, SINR, received signal strength, and throughput may be expressed by color coding.

  Next, the optimization unit 8 according to the present embodiment will be described in detail.

  In this embodiment, an annealing method is used as an optimization method. The annealing method is one of heuristic optimization methods, and is an optimization method that enables escape from local optimization by random numbers. The annealing method is disclosed in Non-Patent Document 2, for example.

  FIG. 4 is a block diagram showing a configuration of the optimization unit 8 shown in FIG. In FIG. 4, the optimization unit 8 includes an initial parameter input unit 31, a neighborhood solution calculation unit 32, an evaluation function calculation unit 33, an evaluation function output result comparison unit 34, a parameter change unit 35, an end condition confirmation unit 36, and an output unit 37. Have

FIG. 5 is a flowchart showing a procedure of optimization processing according to the present embodiment. The operation of the optimization unit 8 shown in FIG. 4 will be described below with reference to FIG.
Step S11: The initial parameter input unit 31 reads the simulation model data from the simulation data storage unit 7, and sets an initial parameter (initial value of executable solution) α. Also, the number of repetitions I is set to zero.

  The initial parameter α is an initial value of a base station parameter of each base station and an initial value of a local countermeasure radio apparatus parameter of each local countermeasure radio apparatus. Here, the space M of the feasible solution is configured by a range that can be taken by the base station parameters of each base station and a range that can be taken by the local countermeasure wireless device parameters of each local countermeasure wireless device.

  Step S12: The neighborhood solution calculation unit 32 generates a solution (neighbor solution) β near the initial parameter α in the space M of the executable solution. Here, the vicinity of the feasible solution α is defined as a space within a distance d from α. At this time, each parameter is regarded as independent, and a solution β in the vicinity of α is generated according to an arbitrary distribution from the range within the distance d. The distance d that defines the neighborhood can be set for each parameter. Further, it is assumed that probability distributions to be followed in the selection of neighboring parameters are set for each variable parameter.

  Step S13: The evaluation function calculator 33 calculates an evaluation function value eval (α) related to the initial parameter α and an evaluation function value eval (β) related to the neighborhood solution β.

Here, a method of calculating the evaluation function value will be described.
First, the radio characteristic calculation unit 6 calculates SINR (STP) in each STP. SINR (STP) is SINR from a base station or a wireless device for local countermeasures that provides a communication service for the STP. The evaluation function calculation unit 33 uses the SINR (STP) of each STP to calculate the SINR evaluation value μ (STP) by the following equation.

  The required SINR is set in the simulation model data as the required radio characteristics. The SINR evaluation value μ (STP) becomes 1 when the SINR (STP) satisfies the required SINR, and becomes 0 when the SINR (STP) does not satisfy the required SINR.

  Note that a base station or a local countermeasure radio apparatus that provides a communication service for a certain STP selects a base station or a local countermeasure radio apparatus with the best radio characteristics for the STP. Further, during execution of the optimization process, the base station or the wireless device for local countermeasures that provides the communication service to each STP can be changed by changing the parameters. Therefore, the STP that satisfies the required SINR is updated each time the variable parameter is changed by the optimization process.

  Next, the wireless characteristic calculator 6 calculates the received signal strength P (STP) at each STP. The received signal strength P (STP) is a received signal strength from a base station or a local countermeasure wireless device that provides a communication service to the STP. The evaluation function calculation unit 33 calculates the received signal strength evaluation value ρ (STP) using the received signal strength P (STP) of each STP by the following equation.

  The required received signal strength is set in the simulation model data as required radio characteristics. The received signal strength evaluation value ρ (STP) becomes 1 when the received signal strength P (STP) satisfies the required received signal strength, and becomes 0 when the received signal strength P (STP) does not satisfy the required received signal strength. .

  During the optimization process, the base station or the wireless device for local countermeasures that provides the communication service to each STP can be changed by changing the parameter. Accordingly, the STP that satisfies the required received signal strength is updated each time the variable parameter is changed by the optimization process.

  Next, the evaluation function calculator 33 calculates the value of the objective function F by the following equation.

  However, w (STP) is a weight for each STP. In the example of FIG. 3, the weight of the first STP is set to 1, the weight of the second STP (the STP of the countermeasure range and the first STP is divided into nine) is set to 1/9, and the third STP ( The STP of the influence range, and the weight of the first STP is divided into four (1/4).

  Next, the evaluation function calculation unit 33 calculates the value of the evaluation function using the value of the objective function F. As a formula for calculating the evaluation function, for example, [Formula 4] or [Formula 5] may be mentioned. Whether to use [Equation 4] or [Equation 5] may be determined by a design policy or the like. In [Expression 4] and [Expression 5], α is used as an argument of the evaluation function for convenience.

However, the omega _Area1 weighting factor for the first STP, omega _Area2 weighting factor for the second STP (STP measures range), omega _Area3 is a weighting factor for the third STP (STP range of influence). The weighting coefficients ω _Area1 , ω _Area2 , and ω _Area3 are all values from 0 to 1. Each weighting factor ω _Area1 , ω _Area2 , ω _Area3 can give priority to each type of STP.

  Note that, when it is not necessary to provide a priority for each type of STP, “evaluation function value = F” may be used.

  The above is the calculation method of the evaluation function value. Thereby, the evaluation function value eval (α) related to the initial parameter α and the evaluation function value eval (β) related to the neighborhood solution β are calculated.

Next, the evaluation function output result comparison unit 34 uses the evaluation function value eval (α) and the evaluation function value eval (β) to determine whether or not to change the state. First, the following equation is determined.
eval (β) ≦ eval (α)
If this result is true, the process proceeds to step S14, and if it is false, the random number r is uniformly generated with a value from 0 to 1, and the following equation is determined.

  However, T is a predetermined control parameter. If this result is true, the process proceeds to step S14, and if false, the process proceeds to step S15.

  Step S14: The parameter changing unit 35 changes the parameter using the neighborhood solution β as a new initial parameter α.

  Step S15: The end condition confirmation unit 36 determines the number of repetitions I from the above steps S12 to S14. If the number of repetitions I has reached the cooling condition value, the process proceeds to step S16. On the other hand, if the number of repetitions I has not yet reached the cooling condition value, 1 is added to the number of repetitions I and the process returns to step S12.

Step S16: The end condition confirmation unit 36 updates the control parameter T by the following equation using the value of the predetermined cooling function f (T, I).
T = f (T, I)

  Step S17: The end condition confirmation unit 36 determines a stop condition. If the stop condition is satisfied, the process proceeds to step S18. On the other hand, if the stop condition is not satisfied, the process returns to step S12. As an example of the stop condition, a parameter Term is provided, and the process ends when “T ≦ Term” is satisfied. Or it is good also as completion | finish, when an evaluation function value does not change for a certain period.

  Step S18: The output unit 37 outputs an optimal solution. The optimal solution is the neighborhood solution β when the stop condition is satisfied in step S17. This optimal solution has the optimal value of the base station parameter of each base station and the optimal value of the local countermeasure radio apparatus parameter of each local countermeasure radio apparatus.

  According to this embodiment, in a cellular mobile communication system, data effective for local analysis of a countermeasure range and an influence range when a local countermeasure radio apparatus such as a repeater apparatus is added can be output. Furthermore, since the simulation unit is subdivided only for the range to be locally analyzed, an increase in the amount of simulation calculation can be suppressed to the minimum necessary. As a result, in the cellular mobile communication system, it is possible to improve the support capability for local analysis when a local countermeasure wireless device such as a repeater device is added, and to suppress an increase in the amount of simulation calculation. .

In the optimization process, by making it possible to set a weighting factor for each type of STP, weighting according to the type of STP can be performed, and the usability of optimization is improved.
Further, by making it possible to individually set the evaluation function in the optimization process, it is possible to reflect a specific requirement condition for the local countermeasure radio apparatus such as a repeater apparatus.

  Note that the station placement design support apparatus 1 according to the present embodiment may be realized by dedicated hardware, or is configured by a computer system such as a personal computer, and is shown in FIG. You may implement | achieve the function by running the program for implement | achieving the function of each part of the apparatus 1. FIG.

In addition, it is assumed that an input device, an output device, and the like (both not shown) are connected to the station location design support device 1 as peripheral devices. Here, the input device refers to an input device such as a keyboard and a mouse, a reading device that reads data from a recording medium, and the like. Examples of the output device include a display device such as a CRT (Cathode Ray Tube) and a liquid crystal display device, a recording device for a recording medium, and a printing device.
The peripheral device may be connected directly to the station location design support apparatus 1 or may be connected via a communication line.

Further, a program for realizing each step performed by the station placement design support apparatus 1 shown in FIG. 1 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into a computer system and executed. By doing so, station placement design support processing may be performed. Here, the “computer system” may include an OS and hardware such as peripheral devices.
Further, the “computer system” includes a homepage providing environment (or display environment) if a WWW system is used.
“Computer-readable recording medium” refers to a flexible disk, a magneto-optical disk, a ROM, a writable nonvolatile memory such as a flash memory, a portable medium such as a DVD (Digital Versatile Disk), and a built-in computer system. A storage device such as a hard disk.

Further, the “computer-readable recording medium” means a volatile memory (for example, DRAM (Dynamic DRAM) in a computer system that becomes a server or a client when a program is transmitted through a network such as the Internet or a communication line such as a telephone line. Random Access Memory)), etc., which hold programs for a certain period of time.
The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the “transmission medium” for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line.
The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, and what is called a difference file (difference program) may be sufficient.

  As mentioned above, although embodiment of this invention was explained in full detail with reference to drawings, the specific structure is not restricted to this embodiment, The design change etc. of the range which does not deviate from the summary of this invention are included.

DESCRIPTION OF SYMBOLS 1 ... Station location design support apparatus, 2 ... Input part, 3 ... Output part, 4 ... Database part, 5 ... Simulation model production | generation part, 6 ... Radio | wireless characteristic calculation part, 7 ... Simulation data storage part, 8 ... Optimization part, DESCRIPTION OF SYMBOLS 21 ... Map database, 22 ... Building database, 31 ... Initial parameter input part, 32 ... Neighborhood solution calculation part, 33 ... Evaluation function calculation part, 34 ... Evaluation function output result comparison part, 35 ... Parameter change part, 36 ... End condition Confirmation part, 37 ... output part

Claims (6)

Base station arrangement and radio propagation environment of each base station, radio equipment environment for local countermeasures and radio propagation environment of each radio equipment for local countermeasures, and requirements to be satisfied by simulation unit and each simulation unit An input unit for inputting station location design conditions for specifying radio characteristics;
A simulation model generation unit that divides the in-station design target area into sections of a plurality of types of simulation units specified by the in-station design conditions;
Based on the station design conditions, a radio characteristic calculation unit that calculates an assumed radio characteristic for each section,
An optimization unit that performs an optimization process for maximizing the number of sections satisfying the required radio characteristics based on the station placement design condition;
An output unit that outputs the optimum value of the base station parameter of each base station and the optimum value of the local countermeasure radio apparatus parameter of each local countermeasure radio apparatus obtained as a result of the optimization process;
A placement design support apparatus characterized by comprising: As the section, the first section of the basic simulation unit, the second section of the simulation unit in the range where the local countermeasure is applied by the installation of the local countermeasure radio apparatus, and the radio wave environment by the installation of the local countermeasure radio apparatus A third section of simulation units in a range affected by
The station placement design support apparatus according to claim 1, wherein each size of the second section and the third section is smaller than a size of the first section.   The station placement design support apparatus according to claim 1, wherein the optimization unit performs weighting on the assumed radio characteristics for each of the sections of the plurality of types of simulation units. An evaluation function for comprehensively evaluating the assumed radio characteristics of the section in the station design target area is provided,
The station evaluation design apparatus according to any one of claims 1 to 3, wherein the evaluation function has a weighting factor for each type of the section.   In the space of the feasible solution composed of the range that can be taken by the base station parameter of each base station and the range that can be taken by the local countermeasure radio device parameter of each local countermeasure radio device by the annealing method, 5. The station according to claim 1, wherein an optimum value of a base station parameter of each base station and an optimum value of a local countermeasure radio apparatus parameter of each local countermeasure radio apparatus are calculated. Design support device. Base station arrangement and radio propagation environment of each base station, radio equipment environment for local countermeasures and radio propagation environment of each radio equipment for local countermeasures, and requirements to be satisfied by simulation unit and each simulation unit A step of inputting station location design conditions for specifying radio characteristics;
Dividing the in-station design target area into a plurality of types of simulation unit sections specified by the in-station design conditions;
Calculating an assumed wireless characteristic for each of the sections based on the station location design conditions;
Performing an optimization process for maximizing the number of sections satisfying the required radio characteristics based on the station location design conditions;
Outputting the optimum value of the base station parameter of each base station and the optimum value of the local countermeasure radio apparatus parameter of each local countermeasure radio apparatus obtained as a result of the optimization process;
A computer program for causing a computer to execute.

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