KR102442461B1 - Method and apparatus for analyzing a communication environment and designing a network considering trees - Google Patents

Abstract

The present disclosure relates to a communication technique that converges a 5G communication system for supporting a higher data rate after a 4G system with IoT technology, and a system thereof. The present disclosure provides intelligent services (eg, smart home, smart building, smart city, smart car or connected car, healthcare, digital education, retail business, security and safety related services, etc.) based on 5G communication technology and IoT-related technology. ) can be applied to A method of checking a wireless signal transmission characteristic in a wireless communication system according to an embodiment of the present specification includes: checking a signal transmission location; checking a signal reception location; identifying an area in which a tree located between the signal transmission position and the signal reception position is located; confirming characteristics of a leaf part of the tree and a characteristic of a trunk part of the tree; and confirming transmission characteristics of a radio signal transmitted from the signal transmission position to the signal reception position based on the identified characteristics of the leaf part and the characteristics of the body part.

Description

Method and apparatus for analyzing a communication environment and designing a network considering trees}

An embodiment of the present specification relates to a method for operating a network based on modeling a radio communication environment for operating a wireless communication system, and an invention related to an apparatus using the same. More specifically, the embodiment of the present specification is an invention for providing a method for modeling a communication environment based on this in consideration of the location and characteristics of trees in a wireless communication environment using mmWave, and a method for network operation and an apparatus using the same.

Efforts are being made to develop an improved 5G communication system or pre-5G communication system in order to meet the increasing demand for wireless data traffic after commercialization of the 4G communication system. For this reason, the 5G communication system or the pre-5G communication system is called a system after the 4G network (Beyond 4G Network) communication system or the LTE system after (Post LTE). In order to achieve a high data rate, the 5G communication system is being considered for implementation in a very high frequency (mmWave) band (eg, such as a 60 gigabyte (60 GHz) band). In order to alleviate the path loss of radio waves and increase the propagation distance of radio waves in the very high frequency band, in the 5G communication system, beamforming, massive MIMO, and Full Dimensional MIMO (FD-MIMO) are used. ), array antenna, analog beam-forming, and large scale antenna technologies are being discussed. In addition, for network improvement of the system, in the 5G communication system, an evolved small cell, an advanced small cell, a cloud radio access network (cloud radio access network: cloud RAN), an ultra-dense network (ultra-dense network) , Device to Device communication (D2D), wireless backhaul, moving network, cooperative communication, Coordinated Multi-Points (CoMP), and interference cancellation Technology development is underway. In addition, in the 5G system, the advanced coding modulation (ACM) methods FQAM (Hybrid FSK and QAM Modulation) and SWSC (Sliding Window Superposition Coding), and advanced access technologies FBMC (Filter Bank Multi Carrier), NOMA (non orthogonal multiple access), and sparse code multiple access (SCMA) are being developed.

On the other hand, the Internet is evolving from a human-centered connection network where humans create and consume information to an Internet of Things (IoT) network that exchanges and processes information between distributed components such as objects. Internet of Everything (IoE) technology, which combines big data processing technology through connection with cloud servers, etc. with IoT technology, is also emerging. In order to implement IoT, technology elements such as sensing technology, wired and wireless communication and network infrastructure, service interface technology, and security technology are required. , M2M), and MTC (Machine Type Communication) are being studied. In the IoT environment, an intelligent IT (Internet Technology) service that collects and analyzes data generated from connected objects and creates new values in human life can be provided. IoT is a field of smart home, smart building, smart city, smart car or connected car, smart grid, health care, smart home appliance, advanced medical service, etc. can be applied to

Accordingly, various attempts are being made to apply the 5G communication system to the IoT network. For example, technologies such as sensor network, machine to machine (M2M), and MTC (Machine Type Communication) are implemented by 5G communication technologies such as beamforming, MIMO, and array antenna. will be. The application of a cloud radio access network (cloud RAN) as the big data processing technology described above is an example of the convergence of 5G technology and IoT technology.

As such a recent communication system uses a relatively high-frequency communication signal, it is necessary to analyze the wireless communication environment in consideration of trees, configure a network based on this, and operate the installed network.

An embodiment of the present specification is proposed to solve the above-described problems, and it is an object of modeling a radio communication environment for operation of a wireless communication system in consideration of trees, and providing a method and an apparatus using the same for operation through this. In addition, the purpose of providing a method and apparatus for network design and operation based on simulation by analyzing radio signal propagation characteristics by modeling the characteristics of radio signals and trees transmitted from transmitters in a communication system using radio signals. do.

In order to achieve the above object, a method for checking a wireless signal transmission characteristic in a wireless communication system according to an embodiment of the present specification includes: checking a signal transmission position; checking a signal reception location; identifying an area in which a tree located between the signal transmission position and the signal reception position is located; confirming characteristics of a leaf part of the tree and a characteristic of a trunk part of the tree; and confirming transmission characteristics of a radio signal transmitted from the signal transmission position to the signal reception position based on the identified characteristics of the leaf part and the characteristics of the body part.

A computing device for checking signal transmission characteristics in a wireless communication system according to another embodiment of the present specification includes a transceiver capable of transmitting and receiving information; and connected to the transceiver, confirming a signal transmission position, confirming a signal receiving position, determining an area in which a tree located between the signal transmitting position and the signal receiving position is located, and the leaf portion of the tree. Characteristics and characteristics of the trunk part of the tree are confirmed, and the transmission characteristics of the radio signal transmitted from the signal transmission position to the signal reception position based on the identified characteristics of the leaf part and the characteristics of the trunk part It includes a control unit for checking.

According to an embodiment of the present specification, it is possible to determine the radio wave transmission characteristics of a wireless signal in a wireless communication system, and more accurately design a system and operate a network based on this.

1 is a diagram for explaining a network design using a mathematical modeling technique.
2 is a view for explaining a ray tracing simulation method according to an embodiment of the present specification.
3 is a diagram for explaining a wireless signal propagation environment according to a transmitter and a receiver according to an embodiment of the present specification.
4 is a diagram for explaining a method for considering a tree on a map according to an embodiment of the present specification.
5 is a view for explaining the radio signal propagation characteristics for each part of the tree according to an embodiment of the present specification.
6 is a diagram for modeling a tree according to an embodiment of the present specification, and for explaining a radio signal propagation characteristic in the modeled tree.
7 is a diagram illustrating an example of modeling the shape of a leaf part according to an embodiment of the present specification.
8 is a diagram illustrating a method for modeling a tree according to an embodiment of the present specification.
9 is a diagram illustrating a signal transmission aspect according to scattering of a radio signal according to a material and a size.
10 is a diagram for explaining a propagation path according to reflection and scattering.
11 is a diagram for explaining a method of simulating a radio signal propagation mode in consideration of the characteristics of a tree according to an embodiment of the present specification.
12 is a view for explaining a method for modeling a tree shape according to an embodiment of the present specification.
13 is a view for explaining a method for simulating a radio signal propagation aspect in consideration of tree characteristics according to an embodiment of the present specification.
14 is a diagram for explaining an arithmetic device according to an embodiment of the present specification.

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

In describing the embodiments, descriptions of technical contents that are well known in the technical field to which the present invention pertains and are not directly related to the present invention will be omitted. This is to more clearly convey the gist of the present invention by omitting unnecessary description.

For the same reason, some components are exaggerated, omitted, or schematically illustrated in the accompanying drawings. In addition, the size of each component does not fully reflect the actual size. In each figure, the same or corresponding elements are assigned the same reference numerals.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the art to which the present invention pertains. It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout.

At this time, it will be understood that each block of the flowchart diagrams and combinations of the flowchart diagrams may be performed by computer program instructions. These computer program instructions may be embodied in a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, such that the instructions performed by the processor of the computer or other programmable data processing equipment are not described in the flowchart block(s). It creates a means to perform functions. These computer program instructions may also be stored in a computer-usable or computer-readable memory that may direct a computer or other programmable data processing equipment to implement a function in a particular manner, and thus the computer-usable or computer-readable memory. It is also possible for the instructions stored in the flowchart block(s) to produce an article of manufacture containing instruction means for performing the function described in the flowchart block(s). The computer program instructions may also be mounted on a computer or other programmable data processing equipment, such that a series of operational steps are performed on the computer or other programmable data processing equipment to create a computer-executed process to create a computer or other programmable data processing equipment. It is also possible that instructions for performing the processing equipment provide steps for performing the functions described in the flowchart block(s).

Additionally, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). It should also be noted that in some alternative implementations it is also possible for the functions recited in the blocks to occur out of order. For example, it is possible that two blocks shown in succession are actually performed substantially simultaneously, or that the blocks are sometimes performed in the reverse order according to the corresponding function.

At this time, the term '~ unit' used in this embodiment means software or hardware components such as FPGA or ASIC, and '~ unit' performs certain roles. However, '-part' is not limited to software or hardware. '~unit' may be configured to reside on an addressable storage medium or may be configured to refresh one or more processors. Thus, as an example, '~' denotes components such as software components, object-oriented software components, class components, and task components, and processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. The functions provided in the components and '~ units' may be combined into a smaller number of components and '~ units' or further separated into additional components and '~ units'. In addition, components and '~ units' may be implemented to play one or more CPUs in a device or secure multimedia card.

In addition, in the drawings for explaining the method in the embodiment, the order of description does not necessarily correspond to the order of execution, and the precedence relationship may be changed or may be executed in parallel. In addition, it is apparent that steps not mentioned as essential in the embodiment may be selectively performed.

1 is a diagram for explaining a network design using a mathematical modeling technique.

Referring to FIG. 1 , transmitters 110 and 120 may form transmission beams 112 and 122 to transmit signals.

As described above, the mathematical modeling technique can predict RF information through a function explicitly expressed through a specific signal transmission/reception modeling technique by inputting the frequency and distance of the transmission signal, and the like. As shown in the figure, the transmitters 110 and 120 may form beams 112 and 122 in three directions, respectively, and accordingly, RF characteristics of the transmission signal may be applied through a modeling technique. As described above, through the mathematical modeling technique, RF information can be predicted with a smaller amount of calculation, but a method for accurate measurement at a higher frequency is required.

2 is a view for explaining a ray tracing simulation method according to an embodiment of the present specification.

Referring to FIG. 2 , it is assumed that signals are transmitted from one or more transmitters 212 , 214 , and 216 , and accordingly, the strength at which signals transmitted from each transmitter 212 , 214 , 216 are received is displayed as a contrast on the map. do. A darker color has a strong reception strength, and a lighter color has a weaker signal strength.

More specifically, assuming the position of the receiver 220, it is possible to determine the reception strength of the signal in the corresponding area. Also, it is possible to determine a transmission channel for each possible path from one transmitter 212 to the receiver 220 . There may be a signal 242 that is transmitted directly from the transmitter 212 to the receiver 220 , and there is a signal 232 that is received by being reflected by another object 230 . As such, when the simulation based on ray tracing is performed, information on the strength of a signal received from the transmitters 212 , 214 , and 216 in a specific region and information on a transmission path of the corresponding signal can be obtained. When determining the signal reception strength according to the signal transmission path, when at least one of the surface material and the external shape of the reflected object is taken into consideration, the receiver 220 may acquire more accurate signal reception information. Although referred to as a surface material in the embodiment, this does not mean only the outer surface of the object, and it is a concept that includes an internal material that can affect the reflection of radio waves, and more accurate characteristics of radio wave reflection are estimated through such information can do.

Also, an obstacle capable of transmitting radio waves may be located on a path through which a signal is directly transmitted. An example of the obstacle may be a tree, and in addition to the tree, an obstacle through which radio waves are transmitted and signal attenuation may occur may be considered during the ray tracing simulation. In this way, more accurate simulation results can be obtained by considering information on obstacles that can transmit radio waves. The tree is an example of an obstacle that is located on the communication path and causes signal attenuation during radio wave transmission, and may be other plants or installations installed on the communication path, and may include other objects that may cause signal attenuation.

By performing ray tracing in this way, it is possible to determine at least one of an optimal transmitter location and a receiver location on the map. Also, according to an embodiment, the ray tracing simulation may be performed in consideration of a plurality of transmitter position candidates and receiver position candidates, and at least one of a transmitter position and a receiver position may be determined according to a ray tracing result.

As such, the ray tracing simulation technique may determine a transmission channel for each path through which the RF signal passes, and predict RF signal information at the location of the receiver 220 based on this. In the embodiment, in the ray tracing simulation line technique, in the process of determining the channel environment according to the signal path, not only the distance through which the signal is transmitted, but also the environment of the path (e.g. the type of medium), 3D terrain, and reflection and diffraction by buildings By calculating at least one, more accurate RF signal information may be predicted. In addition, the channel estimation method through the above technique is not limited by the frequency of the RF signal, can accurately reflect the real environment, and can determine at least one of the optimal transmission position and the reception position based on the simulation result.

5G networks also use very high frequency signals of 28 - 60 GHz. Therefore, in order to find out the radio signal information from the 5G hesitation tool, the accuracy can be increased by using the ray tracing simulation technique rather than the mathematical modeling technique. In an example of ray tracing simulation, when predicting a path where radio waves collide with a building and are reflected, it is assumed that the surfaces of all buildings have the same RF properties and the reflection can be calculated. However, since the reflectivity of the RF signal varies depending on the surface material, external shape, and pattern of the reflective surface, this assumption does not guarantee accurate simulation results. In addition, in the case of trees or trees, if the frequency of the radio signal increases, it may actually affect the signal transmission, and accordingly, an analysis method considering this is required.

In the following embodiments, an object referred to as a tree or a tree may include herbaceous plants or woody plants that are positioned on a radio signal propagation path and may affect signal transmission. As such, trees may not be included in map information, unlike topography and buildings, and the location of trees may be determined through separate image analysis. In the case of such a tree, it may actually affect the transmission of high-frequency radio signals. More specifically, a signal may not transmit, and may reflect, scatter, and diffract, and even if transmitted, a loss rate may increase compared to a wireless signal propagated in the air. A more accurate result can be obtained by considering the effect of radio signal propagation by such trees.

3 is a diagram for explaining a wireless signal propagation environment according to a transmitter and a receiver according to an embodiment of the present specification.

Referring to FIG. 3 , the transmitter 310 may transmit a signal, and receivers 1 to 15 may be located on the map. Points marked on each receiver indicate how much more the signal is attenuated compared to the attenuation rate of the radio signal transmitted from the receiver when there are no obstacles.

At this time, when an obstacle is located on the path transmitted from the transmitter 310 to each receiver, signal attenuation may increase, and this effect becomes even greater when the frequency of the radio signal transmitted from the transmitter 310 increases. .

Identification number 315 indicates an image viewed in the direction indicated by the transmitter 310 . In this case, located trees can act as obstacles.

Identification number 320 is a screen viewed from the 8th receiver looking at the transmitter 310, and referring to the drawings, the tree is located on the line of the 8th receiver looking at the transmitter 310, but in this case, through the trunk part of the tree The transmitter 310 is visible, and in this case, the attenuation of the signal is not large.

Identification number 325 is a screen viewed from the receiver 310 looking at the transmitter 310, and referring to the drawing, the tree is located on the line of sight looking at the transmitter 310 from the receiver No. 14, and the leaf part of the tree is on the line of sight. , the attenuation of the signal is large. However, even when the leaf part of a tree is located as described above, when the density of the leaf is low, the wireless signal can be transmitted substantially, so it is necessary to consider such a characteristic.

In this way, when a tree is located on the wireless signal transmission path, there may be attenuation of the signal, and more specifically, whether a certain part of the tree is located in the line of sight can directly determine the attenuation of the transmitted signal. . Accordingly, there is a need to model the characteristics of such a tree in order to understand the radio signal propagation pattern more accurately, and to analyze the radio signal propagation pattern accordingly.

4 is a diagram for explaining a method for considering a tree on a map according to an embodiment of the present specification.

Referring to FIG. 4 , a transmitter 410 may transmit a radio signal and analyze a radio signal propagation pattern at each location on the map. In an embodiment, a building 415 may be located, and in the case of the building, at least one of location and height information may be displayed on the map information, and most of the building is composed of a material that is difficult to transmit radio waves. patterns can be analyzed.

Also, trees 420 and 425 may be located on the map, and the trees 420 and 425 may be classified into a dense tree 420 and a sparse tree 425 according to a density value in consideration of the number of leaves per unit volume. can As such, the effect on radio signal propagation may be different depending on the leaf distribution, and the radio signal propagation pattern can be analyzed in consideration of this.

Also, in an embodiment, the trees 420 and 425 may analyze the effect on radio signal propagation by distinguishing the trunk and leaf parts. By distinguishing and modeling the body and leaf parts in this way, it is possible to analyze the radio signal propagation pattern more accurately.

In an embodiment, such tree information may be obtained through aerial images, tree distribution data, and the like, and its characteristics may be determined in consideration of the average distribution of trees located in a corresponding area. In an embodiment, image information may be obtained through aerial photography, street photography, and the like, and an area in which a tree is located may be determined based on the obtained image information.

In the embodiment of the present specification, it is possible to more accurately analyze a radio signal propagation pattern by modeling the characteristics of each tree in a region where such trees are distributed.

5 is a view for explaining the radio signal propagation characteristics for each part of the tree according to an embodiment of the present specification.

Referring to FIG. 5 , a method for analyzing radio signal propagation characteristics considering trees is illustrated.

For the top image on the drawing. It can be acquired through an image taken from the sky, such as an aerial view. A wireless signal may be transmitted from the left side of the drawing. At this time, in the case of an area 510 in which leaves are dense depending on the density of leaves among the entire area 515 in which the tree is located, the wireless signal is not transmitted, so that the corresponding area may serve to block the signal. At this time, such an area may be displayed as the identification number 520 . Usually, such an area may be located in an area of 60 to 90% of the area occupied by the entire tree. The number is only an example, and is not limited to the disclosed range, and the number may vary depending on the type of tree.

According to an embodiment, the size of the area occupied by the entire tree is obtained, and an area having a size of 60 to 90% in a shape proportional to the entire tree area at the center of the corresponding area may be identified as an area in which signal transmission is impossible as described above. The size of such an area may be determined based on the obtained image and the distribution of trees in the area where the trees are located. More specifically, when dense trees on the image are located, the size of such an area can be increased, and an area with many types of trees with dense leaf arrangement can also have a larger size of this area.

In addition, in the case of the embodiment, it is necessary to distinguish the vertical area occupied by the leaf and the trunk. In the drawing, the area 530 occupied by the leaf and the area occupied by the trunk 535 may be distinguished as shown in the drawing, and such a distinction may be analyzed based on image information such as street view, and trees located in the area. The height can be determined based on the general nature of In this way, by distinguishing the area occupied by the leaf 530 and the area occupied by the trunk 535 , different influences on wireless signal transmission can be analyzed.

When a signal is incident on the side image in the drawing, scattering may occur in the leaf portion 540 , and transmission and reflection by the ground 550 may occur in the trunk portion 545 . In addition, although not shown in the drawing, some transmission may occur in the leaf portion 540, and diffraction may also occur. Also in the trunk portion 540 , scattering, transmission, and diffraction may affect signal transmission. More specifically, transmission of a signal may occur in the region of identification number 520, and in this case, it may be considered that the signal attenuation occurs in proportion to the length of the transmission path. In consideration of such attenuation, it may also be considered that the transmitted signal component is transmitted to the receiver.

6 is a diagram for modeling a tree according to an embodiment of the present specification, and for explaining a radio signal propagation characteristic in the modeled tree.

Referring to FIG. 6 , a tree may be modeled in a shape corresponding to an area affecting wireless signal transmission in an area where leaves and trunks of the tree are located. Although the leaf part 610 and the trunk part 615 are each modeled as a rectangular pole for explanation in the embodiment, it may be modeled as a different pole according to the shape of an actual tree. Also, the area occupied by the quadrangular pole may be determined by the method described in the previous embodiment.

As shown in the side image, it may be considered that diffraction occurs at each corner of the leaf portion 620 and the trunk portion 625 in order to analyze the radio signal propagation pattern. In the case of the ground 630, the characteristics of reflection may be considered as in the embodiment. In addition, although not shown in the drawing, the effects of reflection, transmission, and scattering can also be considered in the corresponding part, and in the case of diffraction, a method for considering such a characteristic can also occur in parts other than the corners will be described in a later embodiment. .

7 is a diagram illustrating an example of modeling the shape of a leaf part according to an embodiment of the present specification.

Referring to FIG. 7 , a leaf portion and a trunk portion of a tree may be modeled in the same shape as the identification numbers 710 to 740 . By modeling in this way and mapping the physical values for the modeled part, there is an advantage in that a result similar to the actual radio signal propagation situation can be obtained with less computation by selecting a model corresponding to the tree and applying it to the simulation. In the case of such a shape, it can be modeled as a shape having a similar shape based on tree information obtained through image information.

Also, depending on the implementation, the tree may be modeled in the form of a prism or horn having such a shape. The number of such shapes may vary depending on the embodiment, and the modeling method may be determined based on the distribution of tree types in the region where the simulation is performed. In addition, when modeling in the embodiment, the tree may be modeled in the form of a cylinder.

8 is a diagram illustrating a method for modeling a tree according to an embodiment of the present specification.

Referring to FIG. 8 , a tree may be modeled as a pentagonal pole as shown in identification number 810 . At this time, only the mouth part can be modeled as a pentagonal column, and the trunk part can also be modeled as a pentagonal column. In addition, according to an embodiment, it may be modeled as N (N is a natural number) each column close to the actual shape of the tree.

In addition, if there are adjacent trees as in identification numbers 820 and 830, the entire mouth can be modeled as an N-shaped column, and the trunk can be modeled in proportion to the number of trees. In an embodiment, when there are many adjacent trees, it may be difficult to determine the number of trunks through image information. In this case, the number of trunks may be determined in proportion to the size of an area occupied by leaves of all trees. In this case, it can be assumed that the trunk is arranged in the same area with a uniform density, and it can be assumed that the trunk is arranged more densely as it comes to the outside of the region where the leaves are located.

In this way, more accurate simulation results can be obtained by simulating the radio signal propagation pattern by modeling the leaf and trunk.

9 is a diagram illustrating a signal transmission aspect according to scattering of a radio signal according to a material and a size.

Referring to FIG. 9 , when a signal is transmitted to an object having a specific thickness, the signal component is scattered in all directions from the object, and at this time, the scattering loss varies according to the thickness and material of the object.

Referring to (a) of FIG. 9 , when a signal is transmitted in the same direction as the identification number 411 to the object 920 having a specific thickness, a signal component to which a certain loss is applied from the signal transmitted by the scattering effect is received in the vicinity 930. In order to analyze the radio signal propagation pattern, it is necessary to consider this effect.

Referring to FIG. 9B , scattering loss according to the diameter of the object is shown as identification numbers 950 and 955 . More specifically, when the diameter is small, the loss in the signal scattered around increases, and as the diameter increases, the magnitude of the signal component received from the surroundings by scattering increases. In addition, the difference between the scattering loss according to the modeling and the actual measured scattering loss is shown in identification number 955.

Referring to FIG. 9C , scattering loss according to the material of an object having a specific thickness, such as identification numbers 960 and 965, is shown. More specifically, loss values applied during omnidirectional scattering are shown when objects having a specific thickness are perfect conductors (PEC), concrete, and wood. In this case, in the case of a perfect conductor, the scattering loss is the smallest, and the scattering loss value increases in the order of concrete and wood. In the embodiment, the leaf portion has a scattering loss characteristic similar to that of a complete conductor, and a simulation may be performed by applying it. In addition, in the case of identification number 965, a scattering loss difference value for each material is shown.

In this way, when a wireless signal is transmitted, omnidirectional scattering can be performed with a specific loss value depending on the thickness and material of an object located on the transmission path. can be done

10 is a diagram for explaining a propagation path according to reflection and scattering.

Referring to FIG. 10 , at least one or more paths through which a wireless signal is transmitted from a transmitter 1010 to a receiver 1015 are illustrated. More specifically, the signal transmission path that the building 1020 and the pillar 1030 affect is shown.

First, a radio signal transmitted in a path on the line of sight of the pillar 1030 may be scattered by the pillar 1030 and received by the receiver 1015 . In this case, in consideration of the distance from the transmitter 1010 to the pole 1030, the intensity of the signal received by the pole 1030 is considered, and here the scattering signal component determined based on the thickness and material of the pole 1030 characteristics can be considered.

In addition, a signal reflected by the building 1020 from the transmitter 1010 may be scattered by the pole 1030 and received by the receiver 1015 . In this case, in consideration of at least one of the distance from the transmitter 1010 to the building 1020, the distance from the building 1020 to the pillar 1030, the angle of the signal incident on the building, and the material of the building, the The strength of the received signal may be considered, and the characteristics of the scattered signal component determined based on the thickness and material of the pillar 1030 may be considered.

As described above, by analyzing the characteristics of the scattering component in consideration of the transmission path on the line of sight and the reflected transmission path, more accurate radio signal propagation pattern simulation is possible.

11 is a diagram for explaining a method of simulating a radio signal propagation mode in consideration of the characteristics of a tree according to an embodiment of the present specification.

Referring to FIG. 11 , the computing device may obtain information related to signal transmission, obtain map information and tree information on the corresponding map, and simulate a radio signal propagation pattern based thereon.

In operation 1105, the computing device may acquire map information. More specifically, the computing device may obtain at least one of 2D and 3D map information. Such map information may include at least one of topographic information and building-related information, and may include information related to characteristics of a corresponding area according to an embodiment. More specifically, the characteristic information may include the use of the corresponding area, and may also include information related to whether the area is an area in which a tree can be located. In addition, according to an embodiment, information related to the use of areas such as roads and sidewalks may also be included.

In operation 1110, the computing device may acquire tree information on the map. Such tree information may include acquiring a location of a tree and a size of an area occupied by the tree based on image information such as an aerial view and a street view. It may also include obtaining information about the location and characteristics of trees through an external database. In an embodiment, when tree information is acquired through image information, the location of the tree may be mapped on a map based on the acquired information.

In operation 1115, the computing device may acquire the acquired tree characteristic information. More specifically, based on the area where the leaf is located, an area that can substantially affect wireless signal transmission may be identified. You can also check the trunk information. More specifically, location information of the trunk may be checked in correspondence to the area where the leaf is located. In addition, according to an embodiment, the tree characteristic information may include a dense degree of leaves and may include a thickness of a trunk. In addition, height information of each of the leaf part and the trunk part may be included.

In operation 1120, the computing device may model the leaf and the trunk in a corresponding form based on the obtained information. In the case of the modeled shape, it may be an N-shaped maneuver corresponding to the area occupied by the actual leaf and trunk. In addition, according to an embodiment, modeling may be performed in the form of a horn, and the modeling shape may be arranged on a map. In addition, it is possible to map related physical property information corresponding to the modeled leaf and trunk. Such characteristic information may include information such as reflectance and transmittance, and may also include information related to diffraction corresponding to a modeled shape.

In operation 1125, the computing device may simulate a propagation pattern of a radio signal transmitted from the transmitter to the receiver based on the information obtained in the above operation. According to such a simulation, a radio signal propagation pattern can be analyzed in more detail.

12 is a view for explaining a method for modeling a tree shape according to an embodiment of the present specification.

Referring to FIG. 12 , the computing device may check information for tree shape modeling and perform modeling accordingly.

In operation 1205, the computing device may check the entire tree area. In an embodiment, the computing device may identify an area in which a tree is located based on image information or an external database.

In operation 1210, the computing device may identify an area in which leaves and trunks are located in the tree area. More specifically, the entire area where the leaf is located and the entire area where the trunk is located can be confirmed. Such region identification may be performed based on image information, and may also be determined based on representative information about trees mainly distributed in a corresponding region.

In operation 1215, the computing device may determine a region affecting signal transmission based on at least one of a leaf shape and a leaf density per unit space among the acquired leaf regions. More specifically, in the case of the area outside the entire area where the leaf is located, the leaf is located but has little effect on signal transmission, so it is possible to confirm the area that can actually affect the signal transmission. This can be done through image analysis, and 60 to 90% of the entire area where the leaf is located can be selected based on the central point.

In step 1220, the computing device may determine the size to be modeled according to the size of the trunk, which may include checking the size of the trunk through image analysis, and the trunk length may be determined according to the size of the leaf distribution without additional confirmation. You can determine the size of the trunk. In this case, the characteristics of trees located in the area may be considered.

In operation 1225, the computing device may perform modeling on the leaf region and the trunk region, respectively, based on the determined size to be modeled. Signal transmission characteristics can be determined based on the leaf and trunk modeled in this way.

13 is a view for explaining a method for simulating a radio signal propagation aspect in consideration of tree characteristics according to an embodiment of the present specification.

Referring to FIG. 13 , the computing device may analyze a radio signal propagation pattern based on modeled tree information.

In step 1305, the computing device may check the transmission location. In addition, the computing device may acquire information related to the characteristics of the wireless signal transmitted at the transmission location. In more detail, at least one of frequency information of a transmitted signal and beamforming related information may be acquired. Thereafter, the computing device may perform a simulation in consideration of this.

In operation 1310, the computing device may analyze the propagation pattern of the wireless signal based on the map information and the tree information modeled on the map. More specifically, a signal propagation pattern may be analyzed by considering at least one of reflection, diffraction, scattering, and transmission in consideration of map information and modeled tree information.

In operation 1315, the computing device may simulate a signal information measurement value received at a reception location based on the analyzed signal propagation pattern. In this way, by analyzing the radio signal propagation pattern in consideration of the map information and the modeled tree information, it is possible to obtain a measurement result similar to the real one with a smaller amount of computation.

14 is a diagram for explaining an arithmetic device according to an embodiment of the present specification.

14 is a diagram illustrating an arithmetic device according to an embodiment of the present specification.

Referring to FIG. 14 , the computing device 1400 according to the embodiment includes an input unit 1410 , a storage unit 1415 , and a control unit 1420 .

The transceiver 1410 may transmit/receive a signal to/from an external device of the arithmetic unit 1400 . More specifically, data may be transmitted/received to and from an external device, and may include an interface unit for this purpose.

The storage unit 1415 may store at least one of information related to the arithmetic unit 1400 and information transmitted/received through the transceiver 1410 . In addition, the information according to the simulation result, information about the object surface material and external shape according to image analysis, 3D map information, information about the object surface material and external shape mapped thereto, and modeled tree information, such as the information according to the embodiment of the present specification All information required for simulation can be stored in . Also, according to an embodiment, characteristics of trees located on a map and information for modeling them may be stored. Also, information stored in the storage unit 1415 may be added, deleted, and updated based on at least one of a simulation result and a comparison result.

The controller 1420 may control the operation of the arithmetic unit 1400, and may control the overall arithmetic unit to perform the operation related to the arithmetic unit described in the above embodiment. The controller 1420 may include at least one processor. In addition, the processor may be controlled by a program including instructions for executing the method described in the embodiment of the present specification. Also, the program may be stored in a storage medium, and the storage medium may include a volatile or non-volatile memory. The memory may be a medium capable of storing data, and there is no restriction in its form if it can store the instructions.

On the other hand, in the present specification and drawings, preferred embodiments of the present invention have been disclosed, and although specific terms are used, these are only used in a general sense to easily explain the technical content of the present invention and help the understanding of the present invention, It is not intended to limit the scope of the invention. It will be apparent to those of ordinary skill in the art to which the present invention pertains that other modifications based on the technical spirit of the present invention can be implemented in addition to the embodiments disclosed herein.

Claims (20)

In a method for confirming a wireless signal transmission characteristic in a wireless communication system,
confirming a signal transmission position;
determining a signal reception location;
identifying an area in which a tree located between the signal transmission position and the signal reception position is located;
confirming characteristics of a leaf part of the tree and a characteristic of a trunk part of the tree;
identifying an area having a size proportional to the density of the leaf portion from the center of the leaf portion as an area affecting signal transmission;
determining a modeling shape of the leaf part and a modeling shape of the body part based on the characteristics of the leaf part and the characteristics of the body part; and
Transmitted from the signal transmitting position to the signal receiving position based on the characteristics of the leaf part, the characteristics of the body part, the modeling shape of the leaf part, the modeling shape of the body part, and the region affecting the signal transmission A wireless signal transmission characteristic checking method comprising the step of checking the transmission characteristic of a wireless signal. According to claim 1,
The step of confirming the characteristics of the leaf part and the trunk part of the tree
checking the size of the first region in which the leaf is located; and
Further comprising the step of confirming the size of the second area that can affect the radio signal propagation within the first area,
The wireless signal transmission characteristic checking method, characterized in that the transmission characteristic of the radio signal is confirmed based on the characteristic of the second area. According to claim 1,
The characteristic of the body part is determined based on an area in which the leaf part of the tree is located. According to claim 1,
Further comprising the step of confirming the position of at least one pole (pole) located between the signal transmission position and the signal reception position,
The step of confirming the transmission characteristic of the radio signal includes the step of confirming the transmission characteristics of the radio signal transmitted to the receiving position in consideration of at least one effect of reflection, diffraction, and scattering occurring in the expression of the pillar,
The material of the pillar is a wireless signal transmission characteristic checking method, characterized in that it comprises at least one of metal, concrete, and wood. 5. The method of claim 4,
The wireless signal transmission characteristic is confirmed in consideration of the signal propagation effect that is generated by passing through the pillar or being reflected or diffracted from the surface of the pillar. According to claim 1,
The characteristic of the leaf part is confirmed based on the material characteristic of the leaf, and the characteristic of the trunk of the tree is confirmed based on the material characteristic of the trunk of the tree. According to claim 1,
The characteristic of the leaf part of the tree includes a first thickness of the leaf part based on a signal transmission direction, and the characteristic of the tree trunk part includes a second thickness of the body part based on the signal transmission direction. including,
The wireless signal transmission characteristic checking method, characterized in that the confirmation based on the scattering characteristic determined based on at least one of the first thickness and the second thickness. 8. The method of claim 7,
The scattering characteristic is confirmed based on a first signal component directly transmitted from the transmission position and a second signal component received through at least one of reflection, transmission and diffraction according to at least one object. How to check characteristics. According to claim 1,
identifying a model corresponding to the shape of at least one tree; and
Selecting a corresponding model based on the characteristic of the leaf part and the characteristic of the body part,
The wireless signal transmission characteristic checking method, characterized in that the confirmation based on the corresponding model. According to claim 1,
The characteristic of the leaf part and the characteristic of the trunk of the tree are confirmed based on the average characteristic of a tree located in an area including the transmission position and the reception position. A computing device for checking signal transmission characteristics in a wireless communication system, comprising:
a transceiver capable of transmitting and receiving information; and
It is connected to the transceiver, confirms a signal transmission position, confirms a signal reception position, identifies an area in which a tree located between the signal transmission position and the signal reception position is located, and characteristics of a leaf part of the tree and confirming the characteristics of the trunk part of the tree, and identifying a region having a size proportional to the density of the leaf part from the center of the leaf part as a region affecting signal transmission, and the characteristics of the leaf part and determining the modeling shape of the leaf part and the modeling shape of the body part based on the characteristics of the body part, and determining the characteristics of the leaf part, the characteristics of the body part, the modeling shape of the leaf part, and modeling the body part. A computing device comprising: a control unit configured to confirm a transmission characteristic of a radio signal transmitted from the signal transmission position to the signal reception position based on a shape and an area affecting the signal transmission. 12. The method of claim 11,
The control unit confirms the size of the first area in which the leaf is located, and confirms the size of the second area that can affect radio signal propagation in the first area,
The computing device, characterized in that the transmission characteristic of the radio signal is confirmed based on the characteristic of the second area. 12. The method of claim 11,
The computing device, characterized in that the characteristic of the trunk portion is determined based on an area in which the leaf portion of the tree is located. 12. The method of claim 11,
The control unit confirms the position of at least one pole positioned between the signal transmission position and the signal reception position, and considers the effect of at least one of reflection, diffraction and scattering occurring in the expression of the pole. Check the transmission characteristics of the wireless signal transmitted to the receiving location,
The material of the pillar is a computing device, characterized in that it includes at least one of metal, concrete, and wood. 15. The method of claim 14,
The transmission characteristic of the radio signal is checked in consideration of the signal propagation effect that is generated by passing through the pillar or being reflected or diffracted from the surface of the pillar. 12. The method of claim 11,
The characteristic of the leaf part is confirmed based on the material characteristic of the leaf, and the characteristic of the trunk part of the tree is confirmed based on the material characteristic of the trunk of the tree. 12. The method of claim 11,
The characteristic of the leaf part of the tree includes a first thickness of the leaf part based on a signal transmission direction, and the characteristic of the tree trunk part includes a second thickness of the body part based on the signal transmission direction. including,
The transmission characteristic of the wireless signal is an operation device, characterized in that it is confirmed based on a scattering characteristic determined based on at least one of the first thickness and the second thickness. 18. The method of claim 17,
The scattering characteristic is confirmed based on a first signal component directly transmitted from the transmission position and a second signal component received through at least one of reflection, transmission and diffraction according to at least one object. 12. The method of claim 11,
the control unit
identifying a model corresponding to the shape of at least one tree, and selecting a corresponding model based on the characteristic of the leaf part and the characteristic of the trunk part;
The computing device, characterized in that the transmission characteristic of the radio signal is confirmed based on the corresponding model. 12. The method of claim 11,
and the characteristic of the leaf part and the characteristic of the trunk of the tree are confirmed based on the average characteristic of a tree located in an area including the transmission position and the reception position.

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