KR20240059334A - Method and device for modeling of transmit-array antenna - Google Patents

Abstract

A transmission antenna modeling method that can optimize the phase shift of an intelligent transmission surface-based transmission antenna is provided. The transmission antenna modeling method calculates the optimal phase shift value for the transmission antenna and adjusts the signal output phase for the intelligent transmission surface of the transmission antenna through this, so that the transmission antenna can be modeled to have an optimal phase shift. .

Description

Transmission antenna modeling method and modeling device for the same {Method and device for modeling of transmit-array antenna}

The present invention relates to a transmission antenna modeling method that can optimize the phase shift of an intelligent transmitting surface (ITS)-based transmission antenna and a modeling device therefor.

This invention was carried out as part of the Future Combat System Network Technology Specialized Research Center project (UD190033ED) supported by the Defense Acquisition Program Administration and the Agency for Defense Development.

Millimeter wave communication is a communication method that uses the gigahertz (GHz) band. In the millimeter wave communication system, antennas can be miniaturized, and by placing multiple antennas at the base station, more power is provided to the receiver that receives the signal from the base station. It can provide high data rates and reliability. This millimeter wave communication system is capable of broadband transmission and is used in various fields such as satellite communication, mobile communication, radio navigation, earth exploration, and radio astronomy.

Millimeter wave communication systems use array antennas using low-power antenna technology such as lens array antennas or phased array antennas.

A lens array antenna includes an array consisting of an electromagnetic lens and a plurality of active antennas disposed in a focal area of the lens. These lens array antennas can receive signals by focusing them on different antennas through lenses, and can radiate them to the outside by focusing signals on different antennas through lenses. However, the lens array antenna still uses a large number of active antennas to increase signal transmission/reception efficiency, so there is no cost reduction effect and there is a problem that a complicated process is required to realize the curved surface of the lens.

A phased array antenna can adjust the phases of signals radiated from a plurality of antennas through a plurality of phase converters. These phased array antennas can generate high-quality beam patterns by changing the direction of the beam pattern through phase control of the signal without rearranging a plurality of antennas. However, the phased array antenna has a complicated feed network consisting of a plurality of phase converters, which increases the overall size, and still requires a large number of active antennas, which has the problem of low cost reduction effect.

To overcome these shortcomings of array antennas, intelligent surface technology consisting of a plurality of passive elements, for example, passive antenna elements, has recently been applied to antennas of millimeter wave communication systems.

The intelligent surface is placed between the transmitting end, that is, the base station and the receiver, and acts as an intermediate end to transmit or receive signals. The intelligent surface is connected to the base station through a wireless channel to generate beam forming gain and has the advantage of low power consumption as it does not require any additional power consumption other than phase-shifting and outputting the incident signal. These intelligent surfaces can be divided into types of intelligent reflecting surface (IRS) and intelligent transmitting surface (ITS) depending on the reflection or transmission characteristics of a plurality of passive elements.

However, since the intelligent reflective surface reflects incident signals, there are restrictions on the installation location where it must be installed in a specific area, such as the exterior wall or rooftop of a building. In addition, since the intelligent reflective surface reflects and transmits the signal transmitted from the base station toward the receiver, signal loss occurs due to the additional wireless channel created between the base station and the receiver.

Korean Patent Publication No. 10-2017-0031527 (2017.03.21.)

The purpose of the present invention is to provide a transmission antenna modeling method and a modeling device for optimizing the phase shift of an intelligent transmission surface-based transmission antenna.

The transmission antenna modeling method according to an embodiment of the present invention is a method of modeling a transmission antenna including an active antenna and an intelligent transmission surface. This modeling method includes modeling a first wireless channel between the active antenna and the intelligent transmission surface and calculating a first channel estimate for the modeled first wireless channel; modeling a second wireless channel between the intelligent transmission surface and a user terminal and calculating a second channel estimate for the modeled second wireless channel; and calculating an optimal phase shift value that optimizes the phase shift of the transmission antenna based on the first channel estimate value and the second channel estimate value.

In addition, the step of calculating the first channel estimate includes calculating first spherical coordinates for the position of the intelligent transmission surface with respect to the active antenna, and calculating first spherical coordinates for the position of the active antenna with respect to the intelligent transmission surface. Calculating 2-spherical coordinates; estimating the first wireless channel based on the first spherical coordinates and the second spherical coordinates, and calculating a first channel matrix for the estimated first wireless channel; and calculating the first channel estimate value from the first channel matrix based on a pre-set coding matrix for the baseband.

Here, the first channel estimate value is calculated as a product of the first channel matrix, the preceding coding matrix for the baseband, and the phase shift value.

Additionally, calculating the first channel estimate further includes approximating the first channel matrix based on the received power of the intelligent transmission surface.

Additionally, calculating the second channel estimate includes calculating the second channel estimate including one or more scattering channel paths between the intelligent transmission surface and the user terminal.

In addition, the step of calculating the optimal phase shift value is a step of calculating the optimal phase shift value such that the product of the first channel estimate value and the second channel estimate value becomes a maximum value.

In addition, calculating the optimal phase shift value may include extracting a plurality of channel observation values for the second wireless channel; calculating a phase shift estimate of the transmission antenna based on the plurality of channel observations; calculating a moving average value of each slope and square slope from the estimated phase shift value; and calculating the optimal phase shift value for the transmission antenna based on the moving average values of each of the slope and square slope.

Additionally, the modeling method further includes adjusting the phase shift for each of the plurality of elements of the intelligent transmission surface based on the optimal phase shift value.

The transmission antenna modeling device according to an embodiment of the present invention is a device for modeling a transmission antenna including an active antenna and an intelligent transmission surface. This modeling device includes a first channel modeling unit that models a first wireless channel between the active antenna and the intelligent transmission surface and calculates a first channel estimate value for the modeled first wireless channel; a second channel modeling unit that models a second wireless channel between the intelligent transmission surface and a user terminal and calculates a first channel estimate value for the modeled first wireless channel; and a phase shift optimization unit that calculates an optimal phase shift value for optimizing the phase shift of the transmission antenna based on the first channel estimate value and the second channel estimate value.

The first channel modeling unit calculates first spherical coordinates for the position of the intelligent transmission surface with respect to the active antenna, and calculates second spherical coordinates for the position of the active antenna with respect to the intelligent transmission surface, , Calculate a first channel matrix based on the first spherical coordinates and the second spherical coordinates, and calculate the first channel matrix for the first wireless channel from the first channel matrix based on a pre-set coding matrix for the baseband. Calculate 1 channel estimate.

Here, the first channel estimate value is calculated as a product of the first channel matrix, the preceding coding matrix for the baseband, and the phase shift value.

The second channel modeling unit calculates the second channel estimate value including one or more scattering channel paths between the intelligent transmission surface and the user terminal.

The phase shift optimization unit extracts a plurality of channel observation values for the second wireless channel, calculates a phase shift estimate of the transmission antenna based on the plurality of channel observations, and calculates a slope and square from the phase shift estimate. A moving average value of each slope is calculated, and the optimal phase shift value is calculated based on the moving average value of each slope and square slope.

In addition, the modeling device further includes a phase shift adjustment unit that adjusts the phase shift for each of the plurality of elements of the intelligent transmission surface based on the optimal phase shift value.

The transmission antenna modeling method according to the present invention calculates the optimal phase shift value for the transmission antenna and adjusts the signal output phase for the intelligent transmission surface of the transmission antenna through this, so that the transmission antenna has an optimal phase shift. It can be modeled.

Accordingly, the modeled transmission antenna according to the present invention can increase the signal transmission rate to the user terminal regardless of the size of the signal transmission power.

In addition, the modeled transmission antenna according to the present invention can increase the signal transmission rate to the user terminal even if a plurality of scattering channel paths exist in the wireless channel transmitting the signal to the user terminal, and transmit the signal when the user terminal is located at a long distance. Even if power is lowered, the signal transmission rate to the user terminal can be increased.

1 is a block diagram showing a transmission antenna modeling device according to an embodiment of the present invention.
FIG. 2 is a diagram schematically showing the transmission antenna of FIG. 1.
Figure 3 is a flowchart showing a transmission antenna modeling method according to an embodiment of the present invention.
FIG. 4 is a flowchart specifically illustrating steps for optimizing the phase shift of the transmission antenna of FIG. 3.
Figures 5 to 7 are graphs showing the performance of the transmission antenna modeled by the present invention.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to be understood by those skilled in the art in the technical field to which the present invention pertains. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims.

In describing embodiments of the present invention, if a detailed description of a known function or configuration is judged to unnecessarily obscure the gist of the present invention, the detailed description will be omitted. The terms described below are defined in consideration of functions in the embodiments of the present invention, and may vary depending on the intention or custom of the user or operator. Therefore, the definition should be made based on the contents throughout this specification.

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

1 is a block diagram showing a transmission antenna modeling device according to an embodiment of the present invention.

Referring to FIG. 1, the modeling device 200 of this embodiment can model the transmission antenna 100 so that the transmission antenna 100 can have maximum transmission efficiency by optimal phase shift.

Here, the transmission antenna 100 can provide a downlink communication service that forms a link in the direction of the user terminal 300 in a millimeter wave communication environment. This transmitting antenna 100 may include an active antenna 110 and an intelligent transmitting surface 120 spaced a predetermined distance from the active antenna 110.

FIG. 2 is a diagram schematically showing the transmission antenna of FIG. 1.

Referring to FIG. 2, each of the active antenna 110 and the intelligent transmitting surface 120 of the transmitting antenna 100 of this embodiment may include one or more antenna elements, such as elements 115 and 125. Here, the elements 125 of the intelligent transmission surface 120 may include passive elements such as diodes and filters.

Additionally, the transmission antenna 100 can form two wireless channels. For example, the transmission antenna 100 has a first wireless channel 130 formed between the active antenna 110 and the intelligent transmission surface 120 and a second wireless channel formed between the intelligent transmission surface 120 and the user terminal 300. It may include (140).

Accordingly, the transmission antenna 100 provides the signal output from the active antenna 110 to the intelligent transmission surface 120 through the first wireless channel 130, and transmits the received signal through the intelligent transmission surface 120. It can be transmitted to the user terminal 300 through the second wireless channel 140. At this time, the signal transmitted from the active antenna 110 to the intelligent transmission surface 120 may have its phase shifted by one or more elements 125 of the intelligent transmission surface 120. Accordingly, the intelligent transmission surface 120 can transmit the phase-shifted signal to the user terminal 300.

In this way, the transmission antenna 100 transmits a phase-shifted signal to the user terminal 300 through two wireless channels, so in order to maximize signal transmission efficiency to the user terminal 300, the intelligent transmission surface 120 is used. An optimal phase shift for the signal may be required. Accordingly, the modeling device 200 of this embodiment can model the transmission antenna 100 so that the transmission antenna 100 has an optimal phase shift.

Accordingly, as shown in FIG. 1, the modeling device 200 of this embodiment includes a first channel modeling unit 210, a second channel modeling unit 220, a phase shift optimization unit 230, and a phase shift adjustment unit ( 240) may be included.

The first channel modeling unit 210 is configured to determine the first wireless channel 130 of the transmission antenna 100, that is, the first wireless channel 130 between the active antenna 110 of the transmission antenna 100 and the intelligent transmission surface 120. ) can be modeled. The first channel modeling unit 210 may calculate a first channel estimate value for the first wireless channel 130, for example, a first channel estimate matrix, according to the results of modeling the first wireless channel 130.

Here, the first channel modeling unit 210 calculates spherical coordinates based on the positions of the active antenna 110 and the intelligent transmission surface 120, and based on the calculated spherical coordinates, the first wireless channel 130 The first channel matrix can be calculated.

In addition, the first channel modeling unit 210 may calculate the first channel estimate value of the transmission antenna 100 from the first channel matrix based on a preset baseband value, for example, a precoding matrix for the baseband. there is.

At this time, the first channel estimate may include a phase shift value for the transmission antenna 100, and the first channel estimate may be calculated as the product of the first channel matrix, the baseband prior coding matrix, and the phase shift value. there is.

The second channel modeling unit 220 is a second wireless channel 140 of the transmission antenna 100, that is, the second wireless channel 140 between the intelligent transmission surface 120 of the transmission antenna 100 and the user terminal 300. ) can be modeled. The second channel modeling unit 220 may calculate a second channel estimate value for the second wireless channel 140, for example, a second channel estimate matrix, according to the modeling result.

Here, the second wireless channel 140 may include a plurality of scattering channel paths. Accordingly, the second channel modeling unit 220 may model the second wireless channel 140 based on at least one of the plurality of scattering channel paths and calculate a second channel estimate value accordingly.

The phase shift optimization unit 230 may calculate an optimal phase shift value for optimizing the phase shift of the transmission antenna 100 based on the first channel estimate value and the second channel estimate value.

As described above, the first channel estimate may include a phase shift value for the transmission antenna 100. Accordingly, the phase shift optimization unit 230 provides a system to ensure that the signal transmission rate from the transmission antenna 100 to the user terminal 300, for example, the signal transmission rate that can be expressed by the equation of the first channel estimate value and the second channel estimate value, becomes the maximum value. By determining the phase shift value of the 1-channel estimate value, the optimal phase shift value can be calculated.

Additionally, according to another embodiment of the present invention, the phase shift optimization unit 230 may calculate the optimal phase shift value using a stochastic gradient descent (SGD) algorithm.

The phase shift optimization unit 230 may extract a plurality of past values for the second wireless channel 140, for example, a plurality of channel observation values, based on the second channel estimate value. The phase shift optimization unit 230 may calculate an estimated phase shift value based on a plurality of extracted channel observation values and calculate a moving average value of the slope for this value. At this time, the phase shift optimization unit 230 may calculate a moving average value for the slope and squared slope of the estimated phase shift value, respectively. The phase shift optimization unit 230 may calculate the optimal phase shift value for the transmission antenna 100 based on the moving average value of the calculated slope.

The phase shift adjustment unit 240 may optimize the phase shift for signal transmission of the transmission antenna 100 based on the optimal phase shift value calculated by the phase shift optimization unit 230.

For example, the phase shift adjuster 240 adjusts the signal output phase of each of the plurality of elements 125 of the intelligent transmission surface 120 to vary based on the optimal phase shift value to optimize the phase shift of the transmission antenna 100. can do.

At this time, the optimal phase shift value may be calculated in the form of a matrix or vector, and may include a plurality of phase shift values corresponding to each of the plurality of elements 125 of the intelligent transmission surface 120.

In this way, the modeling device 200 of this embodiment calculates the optimal phase shift value for the transmission antenna 100 and adjusts the signal output phase on the intelligent transmission surface 120 of the transmission antenna 100 through this. , the transmission antenna 100 can be modeled to have an optimal phase shift. Accordingly, as shown in FIG. 5, the modeled transmission antenna 100 of this embodiment can increase the signal transmission rate from the transmission antenna 100 to the user terminal 300 regardless of the size of the signal transmission power.

In addition, the modeled transmission antenna 100 of this embodiment can be used to transmit the user from the transmission antenna 100 even if a plurality of scattering channel paths exist in the second wireless channel, that is, the wireless channel between the transmission antenna 100 and the user terminal 300. The signal transmission rate to the terminal 300 can be increased. In particular, as shown in FIG. 6, the modeled transmission antenna 100 of this embodiment can further increase the signal transmission rate by increasing the number of elements 125 of the intelligent transmission surface 120.

In addition, as shown in FIG. 7, the modeled transmission antenna 100 of this embodiment is capable of transmitting from the transmission antenna 100 to the user terminal 300 even if the signal transmission power is low due to the user terminal 300 being located at a long distance. The signal transmission rate can be increased.

Figure 3 is a flowchart showing a transmission antenna modeling method according to an embodiment of the present invention.

Referring to FIG. 3, the first channel modeling unit 210 of the modeling device 200 models the first wireless channel 130 inside the transmission antenna 100 and creates the first wireless channel 130 for the first wireless channel 130. A channel estimate value can be calculated (S10).

As described with reference to FIG. 2, the transmitting antenna 100 may include an active antenna 110 and an intelligent transmitting surface 120 arranged at a predetermined distance apart. Accordingly, the first channel modeling unit 210 models the first wireless channel 130 between the active antenna 110 and the intelligent transmission surface 120, and sets the first channel for the modeled first wireless channel 130. An estimate can be calculated.

The step (S10) in which the first channel modeling unit 210 calculates the first channel estimate value will be described in detail as follows.

First, the first channel modeling unit 210 calculates the first spherical coordinates for the position of the intelligent transmission surface 120 based on the active antenna 110, and the active antenna 110 based on the intelligent transmission surface 120. ) can be calculated as the second spherical coordinates for the location.

Here, the first channel modeling unit 210 configures the positions of the plurality of elements 125 of the intelligent transmission surface 120 in spherical coordinates based on one of the plurality of elements 115 of the active antenna 110. 1 Spherical coordinates can be calculated. In addition, the first channel modeling unit 210 configures the positions of the plurality of elements 115 of the active antenna 110 in spherical coordinates based on one of the plurality of elements 125 of the intelligent transmission surface 120. Two-spherical coordinates can be calculated.

Next, the first channel modeling unit 210 estimates the first wireless channel 130 based on the calculated first spherical coordinates and second spherical coordinates, and the estimated first wireless channel 130 is calculated as follows [mathematics] The first channel matrix (Γ) can be calculated as shown in Equation 1.

[Equation 1]

where λ is the wavelength at a specific frequency, e.g. 28 GHz, r _avg is the average distance between the active antenna and the intelligent transmission surface, r _u,v is the distance between the active antenna and the intelligent transmission surface, and p _ITS is the intelligent transmission surface. is the power efficiency of the surface, θ is the elevation angle of the intelligent transmitting surface with respect to the active antenna, G() is the antenna gain of the active antenna and the intelligent transmitting surface, and is the relative coordinate of the active antenna with respect to the intelligent transmission surface, and may be the relative coordinates of the intelligent transmission surface on the active antenna.

At this time, the first channel modeling unit 210 uses [Equation 2] below based on the signal transmission power transmitted from the active antenna 110 to the intelligent transmission surface 120, that is, the reception power of the intelligent transmission surface 120. Likewise, the first channel matrix (Γ) can be approximated.

[Equation 2]

Subsequently, the first channel modeling unit 210 calculates the first wireless channel 130 from the first channel matrix (Γ) according to [Equation 3] below based on the preceding coding matrix (W) for the preset baseband. The first channel estimate value (F) for can be calculated.

[Equation 3]

Here, Ф _ITS may be the phase shift value of the intelligent transmission surface of the transmission antenna.

That is, the first channel modeling unit 210 calculates the first channel matrix Γ based on two spherical coordinates according to the position between the active antenna 110 of the transmission antenna 100 and the intelligent transmission surface 120, , the first channel estimate value (F) for the first wireless channel 130 can be calculated based on the baseband coding matrix (W). At this time, the first channel estimate value (F) can be calculated as the product of the first channel matrix (Γ), the preceding coding matrix (W), and the phase shift value (Ф _ITS ).

Next, the second channel modeling unit 220 of the modeling device 200 models the second wireless channel 140 between the transmission antenna 100 and the user terminal 300, and the modeled second wireless channel 140 ) can be calculated (S20).

The second channel modeling unit 220 may calculate the second channel estimate value (H) as shown in [Equation 4] below based on the plurality of scattering channel paths of the second wireless channel 140.

[Equation 4]

Here, L _path is the number of channel paths, a ₁ is the channel constant of the lth channel path, is the steering vector for the receiving antenna of the user terminal, may be the steering vector of the intelligent transmit surface.

Subsequently, the phase shift optimization unit 230 of the modeling device 200 may optimize the phase shift of the transmission antenna 100 based on the first channel estimate value (F) and the second channel estimate value (H) (S30) ).

For example, the phase shift optimization unit 230 can calculate a phase shift value such that the result of multiplying the previously calculated first channel estimate value (F) and the second channel estimate value (H) is maximum, that is, the optimal phase shift value. there is.

Here, the product of the first channel estimate value (F) and the second channel estimate value (H) may represent the signal transmission efficiency of the transmission antenna 100, for example, the average transmission rate of the user terminal 300. Accordingly, the phase shift optimization unit 230 extracts the maximum value of signal transmission efficiency while changing the size of the phase shift value (Ф _ITS ) of the first channel estimate value (F), and corresponds to the maximum value of the extracted signal transmission efficiency. The phase shift value (Ф _ITS ) can be calculated as the optimal phase shift value.

Additionally, the phase shift optimization unit 230 may calculate the optimal phase shift value using a stochastic gradient descent algorithm. Accordingly, a method of calculating the optimal phase shift value of the phase shift optimization unit 230 will be described in detail with reference to FIG. 4.

FIG. 4 is a flowchart specifically illustrating steps for optimizing the phase shift of the transmission antenna of FIG. 3.

Referring to FIG. 4, the phase shift optimization unit 230 extracts a plurality of past values, for example, a plurality of channel observation values for the second wireless channel 140 based on the previously calculated second channel estimate value (H). (S110).

Next, the phase shift optimization unit 230 may calculate a phase shift estimate for the transmission antenna 100 as shown in [Equation 5] below based on the extracted plurality of channel observation values (S120).

[Equation 5]

Here, K is the number of channel observations, P _BS is the transmission power of the active antenna, σ ² is the power of the additive white Gaussian nod, and H _i,k may be the kth channel observation value.

Meanwhile, although not shown in the drawing, the phase shift optimization unit 230 divides the number of channel observations based on a preset division value, and accordingly creates one or more data groups each having at least one channel observation value. can be created.

Additionally, the phase shift optimization unit 230 may calculate an estimated phase shift value in each data group according to the above-described [Equation 5].

Next, the phase shift optimization unit 230 differentiates the estimated phase shift value as in [Equation 6], and calculates the moving average values (m, v) of the slope and squared slope for the estimated phase shift value as in [Equation 7], respectively. can be calculated (S130).

[Equation 6]

here, may be an expression within the sum symbol of [Equation 5].

[Equation 7]

Here, m is the moving average value of the slope, v is the moving average value of the squared slope, and δ ₁ and δ ₂ may be decay rate parameters.

Next, the phase shift optimization unit 230 calculates the optimal phase shift value of the transmission antenna 100 as shown in [Equation 8] based on the calculated moving average value (m) of the slope and the moving average value (v) of the squared slope. You can do it (S140).

[Equation 8]

Here, τ is the learning rate, and ε may be a constant value.

Referring again to FIG. 3, the phase shift adjustment unit 240 of the modeling device 200 adjusts each of the plurality of elements 125 included in the intelligent transmission surface 120 of the transmission antenna 100 based on the optimal phase shift value. The phase shift of the transmission antenna 100 can be optimized by adjusting the signal output phase to vary (S40).

As described above, the transmission antenna modeling method of this embodiment calculates the optimal phase shift value for the transmission antenna 100, and thereby determines the signal output phase for the intelligent transmission surface 120 of the transmission antenna 100. By adjusting, the transmission antenna 100 can be modeled to have an optimal phase shift.

Accordingly, the transmission antenna 100 modeled by the modeling method of this embodiment can increase the signal transmission rate from the transmission antenna 100 to the user terminal 300 regardless of the size of the signal transmission power. In addition, the modeled transmission antenna 100 of the present embodiment transmits the signal from the transmission antenna 100 to the user terminal 300 even if a plurality of scattering channel paths exist in the wireless channel transmitting the signal to the outside, that is, to the user terminal 300. The transmission rate can be increased, and the signal transmission rate from the transmission antenna 100 to the user terminal 300 can be increased even if the signal transmission power is low because the user terminal 300 is located at a long distance.

Combinations of each block of the block diagram of the present invention and each step of the flowchart described above may be performed by computer program instructions. Since these computer program instructions can be mounted on the encoding processor of a general-purpose computer, special-purpose computer, or other programmable data processing equipment, the instructions performed through the encoding processor of the computer or other programmable data processing equipment are included in each block or block of the block diagram. Each step of the flowchart creates a means to perform the functions described. These computer program instructions may also be stored in computer-usable or computer-readable memory that can be directed to a computer or other programmable data processing equipment to implement a function in a particular way, so that the computer-usable or computer-readable memory The instructions stored in can also produce manufactured items containing instruction means that perform the functions described in each block of the block diagram or each step of the flow chart. Computer program instructions can also be mounted on a computer or other programmable data processing equipment, so that a series of operational steps are performed on the computer or other programmable data processing equipment to create a process that is executed by the computer, thereby generating a process that is executed by the computer or other programmable data processing equipment. Instructions that perform processing equipment may also provide steps for executing functions described in each block of the block diagram and each step of the flowchart.

Additionally, each block or each step may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). Additionally, it should be noted that in some alternative embodiments it is possible for the functions mentioned in the blocks or steps to occur out of order. For example, two blocks or steps shown in succession may in fact be performed substantially simultaneously, or the blocks or steps may sometimes be performed in reverse order depending on the corresponding function.

The above description is merely an illustrative explanation of the technical idea of the present invention, and those skilled in the art will be able to make various modifications and variations without departing from the essential quality of the present invention. Accordingly, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention, but are for illustrative purposes, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention shall be interpreted in accordance with the claims below, and all technical ideas within the scope equivalent thereto shall be construed as being included in the scope of rights of the present invention.

100: Transmitting antenna
110: Active antenna
120: Intelligent transmission surface
200: modeling device
210: First channel modeling unit
220: Second channel modeling unit
230: Phase shift optimization unit
240: Phase shift control unit
300: User terminal

Claims (16)

A modeling method of a transmitting antenna including an active antenna and an intelligent transmitting surface (ITS),
modeling a first wireless channel between the active antenna and the intelligent transmission surface and calculating a first channel estimate for the modeled first wireless channel;
modeling a second wireless channel between the intelligent transmission surface and a user terminal and calculating a second channel estimate for the modeled second wireless channel; and
A transmission antenna modeling method comprising calculating an optimal phase shift value that optimizes the phase shift of the transmission antenna based on the first channel estimate value and the second channel estimate value.
According to paragraph 1,
The step of calculating the first channel estimate value is,
Calculating first spherical coordinates for the position of the intelligent transmission surface with respect to the active antenna, and calculating second spherical coordinates for the position of the active antenna with respect to the intelligent transmission surface;
estimating the first wireless channel based on the first spherical coordinates and the second spherical coordinates, and calculating a first channel matrix for the estimated first wireless channel; and
A transmission antenna modeling method comprising calculating the first channel estimate value from the first channel matrix based on a precoding matrix for a preset baseband.
According to paragraph 2,
The first channel estimate value is,
A transmission antenna modeling method calculated as a product of the first channel matrix, the preceding coding matrix for the baseband, and the phase shift value.
According to paragraph 2,
The step of calculating the first channel estimate value is,
A transmission antenna modeling method further comprising approximating the first channel matrix based on the received power of the intelligent transmission surface.
According to paragraph 1,
The step of calculating the second channel estimate value is,
A transmission antenna modeling method comprising calculating the second channel estimate including one or more scattering channel paths between the intelligent transmission surface and the user terminal.
According to paragraph 1,
The step of calculating the optimal phase shift value is,
A transmission antenna modeling method comprising calculating the optimal phase shift value such that the product of the first channel estimate value and the second channel estimate value becomes a maximum value.
According to paragraph 1,
The step of calculating the optimal phase shift value is,
extracting a plurality of channel observations for the second wireless channel;
calculating a phase shift estimate of the transmission antenna based on the plurality of channel observations;
calculating a moving average value of each slope and square slope from the estimated phase shift value; and
A transmission antenna modeling method comprising calculating the optimal phase shift value for the transmission antenna based on moving average values of each of the slope and square slope.
According to paragraph 1,
A transmission antenna modeling method further comprising adjusting the phase shift for each of a plurality of elements of the intelligent transmission surface based on the optimal phase shift value.
A modeling device that models transmitting antennas including active antennas and intelligent transmitting surfaces.
a first channel modeling unit that models a first wireless channel between the active antenna and the intelligent transmission surface and calculates a first channel estimate value for the modeled first wireless channel;
a second channel modeling unit that models a second wireless channel between the intelligent transmission surface and the user terminal and calculates a second channel estimate value for the modeled second wireless channel; and
A transmission antenna modeling device including a phase shift optimization unit that calculates an optimal phase shift value for optimizing the phase shift of the transmission antenna based on the first channel estimate value and the second channel estimate value.
According to clause 9,
The first channel modeling unit,
Calculate first spherical coordinates for the position of the intelligent transmission surface based on the active antenna, calculate second spherical coordinates for the position of the active antenna with respect to the intelligent transmission surface, and calculate the first spherical coordinates and Transmission for calculating a first channel matrix based on the second spherical coordinates and calculating the first channel estimate for the first wireless channel from the first channel matrix based on a pre-set coding matrix for the baseband Antenna modeling device.
According to clause 10,
The first channel estimate value is,
A transmission antenna modeling device calculated as a product of the first channel matrix, the preceding coding matrix for the baseband, and the phase shift value.
According to clause 9,
The second channel modeling unit,
A transmission antenna modeling device for calculating the second channel estimate including one or more scattering channel paths between the intelligent transmission surface and the user terminal.
According to clause 9,
The phase shift optimization unit,
Extract a plurality of channel observation values for the second wireless channel, calculate an estimated phase shift value of the transmission antenna based on the plurality of channel observation values, and calculate moving average values of each slope and square slope from the estimated phase shift value. A transmission antenna modeling device that calculates the optimal phase shift value based on moving average values of each of the slope and square slope.
According to clause 9,
A transmission antenna modeling device further comprising a phase shift adjuster that adjusts the phase shift for each of the plurality of elements of the intelligent transmission surface based on the optimal phase shift value.
A computer-readable recording medium storing a computer program,
The computer program is,
modeling a first wireless channel between the active antenna of the transmitting antenna and the intelligent transmission surface, and calculating a first channel estimate for the modeled first wireless channel;
modeling a second wireless channel between the intelligent transmission surface and a user terminal and calculating a second channel estimate for the modeled second wireless channel; and
A computer-readable record containing instructions for performing a transmission antenna modeling method including calculating an optimal phase shift value for optimizing the phase shift of the transmission antenna based on the first channel estimate value and the second channel estimate value. media.
A computer program stored on a computer-readable recording medium,
The computer program is,
modeling a first wireless channel between the active antenna of the transmitting antenna and the intelligent transmission surface, and calculating a first channel estimate for the modeled first wireless channel;
modeling a second wireless channel between the intelligent transmission surface and a user terminal and calculating a second channel estimate for the modeled second wireless channel; and
A computer program including instructions for performing a transmission antenna modeling method, including calculating an optimal phase shift value that optimizes the phase shift of the transmission antenna based on the first channel estimate value and the second channel estimate value.