KR20220006943A - Method and apparatus for modeling a virtual 3d object based on network status of a user - Google Patents

Abstract

The present invention relates to a method for modeling a virtual three-dimensional (3D) object based on a network status of a user through an edge cloud server, which includes the steps of: receiving channel state information from a first user terminal; measuring a data rate of the first user terminal based on the channel state information; receiving request information for a specific virtual 3D object from the first user terminal; and transmitting information on the specific virtual 3D object to the first user terminal based on the data rate, wherein the information on the specific virtual 3D object includes information on N separated parts obtained by dividing the specific virtual 3D object into N pieces, wherein N is a natural number of 2 or more, a resolution of a first separation part among the N separation parts is different from a resolution of a second separation part different from the first separation part, and each resolution of the N separated parts is determined based on the data rate. Therefore, low-latency AR service is provided, and the visual quality of the provided 3D object is improved.

Description

Method and device for modeling a virtual 3D object based on the user's network status

The present invention relates to a method and an apparatus for modeling a virtual 3D object based on a user's network state, and more particularly, to a virtual 3D object by dividing it into a plurality of separate parts for modeling, and separation of different resolutions according to a network state A method and apparatus for efficiently transmitting information on a virtual 3D object by providing parts.

Recently, AR (Augmented Reality) and VR (Virtual Reality) are attracting attention in academia and industry, and in particular, AR is drawing much attention as it improves the reality experienced by the user by rendering a virtual overlay on the user's field of view.

However, in AR, the user's immersion can be maintained only when the object is quickly rendered in the user's field of view. In addition, if the visual quality of the rendered object is also low, it may interfere with the user's immersion, and thus, a lot of research is being conducted on a method for providing a low-delay and high-quality or appropriate quality.

An object of the present invention for solving the above problems is to provide a method of modeling a virtual 3D object based on a user's network state.

Another object of the present invention to solve the above problems is to provide an edge cloud server that models a virtual 3D object based on a user's network state.

Another object of the present invention to solve the above problems is to provide an apparatus for modeling a virtual 3D object based on a user's network state.

A method for modeling a virtual 3D object based on a network state of a user by an edge cloud server according to an embodiment of the present invention for achieving the above object includes receiving channel state information from a first user terminal, the channel Measuring a data rate of the first user terminal based on the state information, receiving request information for a specific virtual 3D object from the first user terminal, and based on the data rate for the specific virtual 3D object and transmitting information to the first user terminal, wherein the information on the specific virtual 3D object includes information on N separate parts obtained by dividing the specific virtual 3D object into N pieces, , wherein N is a natural number greater than or equal to 2, a resolution of a first separation part among the N separation parts is different from a resolution of a second separation part different from the first separation part, and a resolution of each of the N separation parts is the It may be determined based on the data rate.

The edge cloud server for modeling a virtual 3D object based on a user's network state according to an embodiment of the present invention for achieving the other object is a processor and at least one instruction executed through the processor is stored. a memory, wherein the at least one instruction may be executed to receive channel state information from a first user terminal, and to measure a data rate of the first user terminal based on the channel state information and receive request information for a specific virtual 3D object from the first user terminal, and transmit information on the specific virtual 3D object to the first user terminal based on the data rate, The information on the specific virtual 3D object includes information on N divided parts obtained by dividing the specific virtual 3D object into N, where N is a natural number equal to or greater than 2, and a second of the N divided parts. A resolution of one divided part is different from a resolution of a second divided part different from the first divided part, and a resolution of each of the N divided parts is determined based on the data rate.

According to the present invention, it is possible to provide a low-latency AR service to the user by effectively utilizing the computation and storage resources of the mobile edge cloud, and it is also possible to improve the visual quality of the 3D object provided.

1 is a conceptual diagram illustrating a virtual 3D object modeling method according to an embodiment of the present invention.
2 is a diagram illustrating a format of description information for a virtual 3D object according to an embodiment of the present invention.
3 is a first flowchart of a virtual 3D object modeling method according to an embodiment of the present invention.
4 is a second flowchart of a virtual 3D object modeling method according to an embodiment of the present invention.
5 is a block diagram of a virtual 3D object modeling apparatus according to an embodiment of the present invention.
6 is a diagram for explaining location information and quality information on a virtual 3D object according to an embodiment of the present invention.
7A and 7B are graphs for verifying accuracy of a measurement model according to an embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and it should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention. In describing each figure, like reference numerals have been used for like elements.

Terms such as first, second, A, and B may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. The term “and/or” includes a combination of a plurality of related listed items or any of a plurality of related listed items.

When an element is referred to as being “connected” or “connected” to another element, it is understood that it may be directly connected or connected to the other element, but other elements may exist in between. it should be On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. In describing the present invention, in order to facilitate the overall understanding, the same reference numerals are used for the same components in the drawings, and duplicate descriptions of the same components are omitted.

1 is a conceptual diagram illustrating a virtual 3D object modeling method according to an embodiment of the present invention.

According to an embodiment of the present invention, after modeling a virtual 3D object in an augmented reality (AR) cloud, that is, an edge cloud server between an AR cloud server and a user terminal, information on the virtual 3D object is provided to the user terminal. By providing a low-latency AR service to users, it can also provide 3D objects with improved visual quality. This can be provided by effectively utilizing the computing and storage resources of the edge cloud server. Here, the edge cloud server may be referred to as a mobile edge cloud (MEC).

Referring to FIG. 1 , an embodiment of the present invention is to be performed through transmission and reception of information between mobile terminals, that is, user terminals equipped with AR cloud, MEC, and dual network interfaces (eg, cellular network and D2D network). can Here, transmission/reception of information may be performed between the AR cloud and the MEC through the Internet through a wired network, and transmission/reception of information may be performed between the MEC and a user terminal through a cellular network using a RU (Radio Unit) connected to the MEC. and information may be transmitted/received between user terminals through a D2D network. Here, the D2D network may represent a technology capable of directly communicating between mobile devices located in a short distance, and may use Wi-Fi or Bluetooth. Hereinafter, each subject will be described in more detail.

The AR cloud may store information on a plurality of virtual 3D objects, and may be equipped with an Ethernet interface. The AR cloud may include a plurality of virtual 3D object information in the virtual object storage. Here, the virtual 3D object information may include high-quality or high-definition image information on the virtual 3D object. Also, the AR cloud may include description information for a plurality of virtual 3D objects. Here, the description information on the virtual 3D object may be referred to as an extended object description file or information.

2 is a diagram illustrating a format of description information for a virtual 3D object according to an embodiment of the present invention.

That is, for example, the description information on the virtual 3D object may have the format shown in FIG. 2 , and the description information on the virtual 3D object may include information on additional properties of the virtual 3D object. Here, the information on the additional properties may include size information of each part according to a quality level or a resolution level, distortion information, and relative priority information of each part in the virtual 3D object.

Referring back to FIG. 1 , the MEC may include a virtual object modeling engine and a separate part control unit, and may further include an Ethernet interface and a wireless network monitoring unit. In addition, the MEC may further include a storage for storing separated parts and a storage for storing device information.

Here, the virtual object modeling engine may include a mesh slicer, a mesh simplifier, and a virtual object description file parser. The virtual object description file parser may parse the virtual 3D object description information, that is, the extended object description file, and the mesh slicer divides the virtual 3D object into a plurality of separate parts based on the parsed virtual 3D object setting information. can be separated into That is, the virtual 3D object information may be separated based on the description information of the virtual 3D object, and the virtual 3D object information and the description information of the virtual 3D object may be received from the AR cloud. Also, the mesh simplifier may transform or generate candidates of separated parts having various qualities or different resolutions for each of the separated separated parts. This may be for selecting and providing one of the candidates according to the user's network state or condition. In other words, the simulated object modeling engine may divide the virtual 3D object into a plurality of separated parts, and may generate a plurality of candidates having different qualities for each separated part. The mesh simplifier according to an embodiment can effectively simplify a 3D mesh by using a mesh simplification technique based on vertex clustering using a decimate modifier, and vividly preserve geometric features. .

When the MEC receives the request information for the virtual 3D object from the user terminal, the separated part control unit may dynamically determine the quality of each separated part based on the network state of the user terminal. Alternatively, the separated part control unit may dynamically determine the quality of each separated part in consideration of end-to-end latency and perceived Quality of Experience (QoE) by the user. Alternatively, when the user terminal downloads information about the virtual 3D object requested from another terminal nearby, the MEC may transmit information about the corresponding terminal to the user terminal.

The user terminal may be equipped with an NR (or 5G) interface and a Wi-Fi interface, and may transmit/receive data to/from the MEC and other user terminals in a short distance using the NR interface and the Wi-Fi interface at the same time. Accordingly, the user terminal may receive information on the virtual 3D object from the MEC and/or other user terminals, and when receiving all or part of the information on the virtual 3D object from the other user terminal, the other user from the MEC Information about the terminal may be received. For example, the user terminal may parse a control message received from the MEC through the MEC command parser, and may search for another user terminal located within a certain distance through a proximity-aware D2D module. In addition, a request can be made to another user terminal that has searched for a virtual 3D object through D2D communication.

The user terminal may include the aforementioned NR interface, Wi-Fi interface, and web browser, and the web browser may include the aforementioned MEC command parser, proximity recognition D2D module, WebGL and WebSocket. Here, WebGL may indicate a web-based graphic library, and WebSocket may indicate a communication protocol used in a user terminal.

Hereinafter, operations in each device or terminal will be described in the order in which they are performed. However, since the order in which each operation is performed is not necessarily limited to the order to be described later, the order in which each operation is performed may vary depending on implementation. Also, FIGS. 3 and 4, which will be described later, may be flow charts for explaining a series of operations.

3 is a first flowchart of a virtual 3D object modeling method according to an embodiment of the present invention.

Referring to FIG. 3 , the MEC may receive virtual object information and description information about the virtual object from the AR cloud ( S310 ). Here, the virtual object may represent a virtual 3D object. Also, the virtual object information may be information about a high-quality image of the virtual object, and the description information about the virtual object may include the above-described extended object description file.

The MEC may collect virtual object information and descriptive information about the virtual object received from the AR cloud based on location or locality (S320), and may model the virtual object based on the descriptive information (S330) . That is, the virtual object information may be divided into a plurality of separated parts based on the description information of the virtual object, and a plurality of candidates (candidates of the separated part) having different qualities may be generated for each separated part.

Through the above-described processes, the MEC may include information on various virtual objects, and the information on the virtual objects may include virtual object information and description information about the virtual object, respectively.

In addition, the first terminal (eg, the user terminal) may periodically report the channel state based on the CSI to the MEC (S340). That is, the first terminal may periodically transmit CSI (Channel State Information) to the MEC, and the MEC may measure a data rate for the cell network based on the received CSI (S350). In other words, the MEC may periodically receive channel state information from the first terminal, and may periodically measure the data rate of the first terminal. Here, the measurement may refer to a measurement of the downlink data rate.

Thereafter, when a user using the first terminal needs a virtual object, the user may request a virtual object to the MEC through the first terminal (S360), and the MEC is the first terminal to the MEC or a second terminal close to the first terminal. It may be determined whether information on the requested virtual object exists (S370). That is, the MEC may determine whether information on the virtual object requested by the first terminal exists among the information about the virtual object received and collected from the AR cloud, and the first terminal is provided to the second terminal located within a certain distance from the first terminal. It may be determined whether information on the virtual object requested by the terminal exists.

4 is a second flowchart of a virtual 3D object modeling method according to an embodiment of the present invention.

4, when the MEC determines that the information on the virtual object requested by the first terminal exists in the MEC or the second terminal, selecting a separation part from among the candidates of a plurality of separation parts from which the virtual object is separated The algorithm may be executed (S410). In other words, since the virtual object may be divided into a plurality of separated parts, and a plurality of candidates having different qualities corresponding to each separated part may be generated and exist, one of the plurality of candidates is selected for each separated part algorithm can be executed. Here, the algorithm may be performed based on the channel state information of the first terminal described as shown in FIG. 3 .

When a specific candidate is selected for each split part, the MEC may transmit the selected candidates corresponding to each split part to the first terminal as each split part (S420). Here, the transmitted plurality of separated parts may include a relatively high-quality or high-resolution separated part and a relatively low-quality or low-resolution separated part. That is, for example, when the virtual object is divided into a first separated part and a second separated part, a high-quality candidate may be selected and transmitted from among a plurality of candidates for the first separated part, and a plurality of candidates for the second separated part A low-quality candidate may be selected and transmitted among the candidates of . In other words, the MEC may determine and transmit an optimal combination between candidates of each separation part in consideration of a network state and QoE recognized by a user.

Here, the MEC may determine whether a selected candidate corresponding to each separation part exists in itself or in the second terminal, and if present in itself, transmits the candidate to the first terminal and exists in the second terminal In this case, information on the second terminal may be transmitted to the first terminal. Here, the MEC or the second terminal may be indicated as a transmission source.

In addition, when the MEC transmits the separated parts to the first terminal, the location pointer of each separated part may be transmitted together with the separated parts, and the location pointer indicates that the separated part exists in the MEC and the MEC provides information on the separated part. It may indicate whether to transmit or whether a corresponding separation part exists in the second terminal to transmit information on the second terminal, and may be referred to as location information.

The first terminal may receive the separated parts of the virtual object and the location pointer from the MEC (S430), and may render the virtual object based on all the separated parts (S440). Here, the first terminal may use only the separated parts received from the MEC based on the location pointer, or may request at least some separation parts from the second terminal to further use the separated parts received from the second terminal. Also, it is possible to receive all the separate parts from the second terminal.

Thereafter, the MEC may select a candidate having the highest quality among candidates of each separated part and transmit it back to the first terminal as each separated part (S450), and the first terminal based on this, the previously rendered virtual object may be updated to the highest quality (S460). Since this procedure transmits the highest quality, it may take relatively more time than the previous procedures. Therefore, after providing a virtual object of appropriate or low quality within a short time, the quality of the provided virtual object is updated to high It can provide delay effect and high quality together.

However, when the virtual object requested from the first terminal does not exist in either the MEC or the second terminal, the MEC may request information about the virtual object requested from the first terminal to the AR cloud, and receive it from the AR cloud. Information on the virtual object may be provided to the first terminal through one procedure. Alternatively, in this case, the AR cloud may directly transmit information on the virtual object to the first terminal.

5 is a block diagram of a virtual 3D object modeling apparatus according to an embodiment of the present invention.

Referring to FIG. 5 , the virtual 3D object modeling apparatus 500 according to an embodiment of the present invention may include at least one processor 510 , a memory 520 , and a storage device 530 . Here, the virtual 3D object modeling apparatus may be mounted on the edge cloud server, and the edge cloud server may perform a function of the virtual 3D object modeling apparatus.

The processor 510 may execute a program command stored in the memory 520 and/or the storage device 530 . The processor 510 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to the present invention are performed. The memory 520 and the storage device 530 may be configured of a volatile storage medium and/or a non-volatile storage medium. For example, the memory 520 may be configured as a read only memory (ROM) and/or a random access memory (RAM).

The memory 520 may store at least one instruction executed by the processor 510 . The at least one command includes a command for receiving channel state information from the first user terminal, a command for measuring a data rate of the first user terminal based on the channel state information, and a command for a specific virtual 3D object from the first user terminal. and a command for receiving request information and a command for transmitting information on the specific virtual 3D object to the first user terminal based on the data rate, wherein the information on the specific virtual 3D object is the specific virtual 3D object may include information on N separated parts obtained by dividing an object into N pieces, wherein N may be a natural number equal to or greater than 2, and the resolution of a first separated part among the N separated parts is the first The resolution of the second separated part may be different from that of the second separated part, and the resolution of each of the N separated parts may be determined based on the data rate.

For example, the first separation part may be determined as one of M candidates of the first separation part having different resolutions, and M may be a natural number equal to or greater than 2 . In addition, the at least one command may further include a command for transmitting update information on the specific virtual 3D object to the first user terminal, in which case the update information on the specific virtual 3D object has the highest resolution. It may include information on N separate parts.

Or, for example, the information on the N separated parts may include location information and quality information on each of the N separated parts. Here, the location information may include information indicating a second user terminal located within a predetermined distance from the edge cloud server or the first user terminal, and the quality information indicates one of M candidates having different resolutions. information may be included, and M may be a natural number of 2 or more.

Or, for example, the at least one command includes at least one virtual 3D object information and descriptive information about the at least one virtual 3D object from an Augmented Reality (AR) cloud server and the at least one virtual 3D object The command may further include a command for modeling the at least one virtual 3D object based on description information on is a command for dividing the at least one virtual 3D object into a plurality of separate parts based on the description information on the at least one virtual 3D object and the plurality of pieces of information based on the description information on the at least one virtual 3D object It may include an instruction for generating candidates having a plurality of different resolutions for each of the separated parts.

Or, for example, the at least one command indicates that when the information on the specific virtual 3D object does not exist in the edge cloud server or the second user terminal located within a predetermined distance from the first user terminal, the specific virtual 3D object It may further include a command for transmitting the request information for AR (Augmented Reality) cloud server.

6 is a diagram for explaining location information and quality information on a virtual 3D object according to an embodiment of the present invention.

Hereinafter, a method of selecting one of a plurality of candidates having different qualities for each separated part will be described in more detail.

First, the above-described location pointer can be expressed as in Equation (1).

Here, N _i ^split is the i th (i _th ) It may represent the number of separated parts of the virtual 3D object, and x _i,j may represent position information of the j-th separated part of the _{i th virtual 3D object.}

For example, if the first terminal that is, the user is transmitted from the i _th virtual When requesting a 3D object, i _th virtual 3D object j _th separation part (j-th separate parts) the MEC, x _{i, j} is 1, may be set to , otherwise, it may be set to 0. Alternatively, when transmitted from the second terminal, it may be set to 0.

Also, the quality selector of the separated part may be expressed as in Equation (2). Here, the quality selector may be referred to as quality information.

Here, q _i,j may represent the quality level of the j-th separated part of _{the i th} virtual 3D object transmitted to the first terminal. Also, the lowest quality level and the highest quality level of each separated part of the _{i th} virtual 3D object may be defined as _{1 and q i} ^{max , respectively.}

For example, referring to FIG. 6 , both the first virtual 3D object and the second virtual 3D object may be divided into three separate parts, and the location pointer of the first virtual 3D object is (1, 1, 0). The first separation part and the second separation part may indicate transmission from the MEC, and the third separation part may indicate transmission from the second terminal. In addition, the quality selector of the first virtual 3D object is (5, 3, 3), and when 5 is the maximum value of quality, the first separated part may represent the highest quality, the second separated part and the third separated part can represent a quality of about 3. The location pointer of the second virtual 3D object is (0, 1, 0), which may indicate that the first separated part and the third separated part are transmitted from the MEC, and the second separated part is transmitted from the second terminal. In addition, the quality selector of the second virtual 3D object is (1, 5, 4), and when 5 is the maximum quality of the quality, the first separated part may represent a quality of about 1, and the second separated part has the highest quality. may represent, and the third separated part may represent a quality of about 4.

According to an embodiment, in order to determine an optimal combination of the virtual 3D object between the separated parts, the visual quality perceived by the user may be quantitatively measured. However, the peak-signal-to-noise-ratio (PSNR) cannot be used because the number of meshes between the existing virtual 3D object and the simplified 3D object is different. is available. Here, the Hausdorff distance may represent a matrix-based geometric distance used to find a geometric error between a pair of 3D mesh models. Accordingly, when the quality of the separated parts in the virtual 3D object is selected, the Hausdorf distance value h(q _i,j ) can be obtained by calculating before and after the simplification procedure of each separated part.

에 대하여 수학식 3에 따라

및

를 결정할 수 있다. 여기서, N_obj는 제1 단말에 의해 요청된 가상 3D 객체들의 개수일 수 있다.For example, in one embodiment, a weighted sum of distortion in a virtual 3D object received from the MEC or the second terminal is minimized.

According to Equation 3 for

and

can be decided Here, N _obj may be the number of virtual 3D objects requested by the first terminal.

Here, b _wireless may represent an estimated throughput value between the MEC and the first terminal, and T _max may represent tolerable maximum latency in the wireless network. In addition, D _max may represent the maximum allowable Hausdorff distance value to avoid the user-recognized degradation of QoE, s _model ( ) may represent the size of the separated part according to the selected quality, w _{i, j} may represent the relative importance of each separated part in the i-th virtual 3D object. Here, the total sum of relative importance for each separated part may be 1.

Thereafter, when the MEC sets x _i,j to 0, the j-th separation part of the i-th virtual 3D object may be directly received by the first terminal from the second terminal located adjacent to the first terminal. Alternatively, when the MEC sets x _i,j to 1, the j-th separation part may be received by the first terminal from the MEC or AR cloud.

7A and 7B are graphs for verifying accuracy of a measurement model according to an embodiment of the present invention.

및

을 수학식 4와 같이 도출할 수 있다.In Equation 3, h( ) and s _model ( ) may be defined in order to measure the size of each separated part depending on QoE degradation and quality selection, respectively. According to an embodiment, since it is difficult to express h() and s _model () in a closed form, an estimation model empirically using a curve fitting method

and

can be derived as in Equation 4.

,

, c₁ 및 c₂는 모델 파리미터들일 수 있다. here,

,

, c ₁ and c ₂ may be model parameters.

In addition, when the quality value (q _i,j ) has a range from level 1 to 20, the accuracy of the estimation model may be confirmed as shown in FIGS. 7A and 7B . That is, the resulting R ² value may be greater than 0.95 in all cases, and as a result, it may be determined that the estimation model fits the observed data.

Since the Hausdorff distance function in Equation 4 is a monotonically non-increasing convex function, the objective function such as the weighted sum of virtual 3D object qualities in Equation 3 may also be a convex function. This can be convex optimization theory, which is the optimal solution obtained by the water-filling method when the objective function is a non-reducing concave function and the constraint set is convex. have. Based on the concept of the water-filling method, an embodiment may design an overall decision procedure for control parameters. The basic concept may be to improve the quality level of the separated part.

계산 반복(iteration)을 구성할 수 있다.For example, in detail, as shown in Table 1 below

Computational iterations are configurable.

에 대한

및

를 결정하기 위한 위치 포인터 및 품질 결정 알고리즘은 다음과 같이 수행될 수 있다.For each iteration, the quality level for the separated part with the highest rate of increase may be increased. For example, Table 1 may require computational complexity _{of O(N obj} , N _i ^{split ),}

for

and

A location pointer and quality determination algorithm for determining .

The first step may be an initialization step. In this step, first, the number of iterations n may be set to 1, and the initial cost function value Q ₀ may be set to an infinite value. Here, when the first terminal receives the j-th separated part of the i-th virtual 3D object from the adjacent second terminal, x _i,j may be set to 0, otherwise, x _i,j is set to 1. may be, and then the third step may proceed.

가 0이 되며, j번째 분리 파트의 현재 품질 셀렉터

가

가 되지 않도록 분리 파트들 중

의 가장 높은 값을 가지는 분리 파트를 선택할 수 있다. 이후, 해당

를 1로 업데이트할 수 있다. The second step may be a step of updating the location pointer of the separated part. In this step, first, for every i, the pointer of the current position of the j-th separation part

becomes 0, the current quality selector of the jth separation part

go

of the separated parts so as not to become

It is possible to select the separated part having the highest value of . After that, the

can be updated to 1.

및 분리 파트들의 현재 품질 셀렉터

가 수학식 3에 위반되는 경우, 상술한 제2 단계에서 선택된

를 0으로 설정할 수 있고, 제3 단계가 진행될 수 있다.If for all i, the current position pointer of the separated parts

and the current quality selector of the separate parts

violates Equation 3, selected in the second step

may be set to 0, and the third step may be performed.

를 결정할 수 있다.The third step may be updating the quality selector of the separated part. In this step, using the separation part quality determination algorithm based on the water-filling method, according to Equation 5 for all i

can be decided

및

를 가지는 비용 함수 값 Q_n이 계산될 수 있다. 만약 Q_n에서 Q_n-1을 뺀 값이 0에 근사하는 경우,

및

는 각각

및

로 설정되며, 전반적인 절차가 종료될 수 있고, 그렇지 않은 경우 n을 1씩 증가시킨 후 제2 단계가 진행할 수 있다.The fourth step may be a step that is repeated until the termination criterion is met. In this step, for all i

and

A cost function value Q _n with If the value obtained by subtracting the Q _n Q _n-1 in the approximate to zero,

and

is each

and

, and the overall procedure may be terminated, otherwise n may be incremented by 1 and then the second step may proceed.

The operation according to the embodiment of the present invention can be implemented as a computer-readable program or code on a computer-readable recording medium. The computer-readable recording medium includes all types of recording devices in which data that can be read by a computer system is stored. In addition, the computer-readable recording medium may be distributed in a network-connected computer system to store and execute computer-readable programs or codes in a distributed manner.

In addition, the computer-readable recording medium may include a hardware device specially configured to store and execute program instructions, such as ROM, RAM, and flash memory. The program instructions may include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

Although some aspects of the invention have been described in the context of an apparatus, it may also represent a description according to a corresponding method, wherein a block or apparatus corresponds to a method step or feature of a method step. Similarly, aspects described in the context of a method may also represent a corresponding block or item or a corresponding device feature. Some or all of the method steps may be performed by (or using) a hardware device such as, for example, a microprocessor, programmable computer or electronic circuit. In some embodiments, one or more of the most important method steps may be performed by such an apparatus.

In embodiments, a programmable logic device (eg, a field programmable gate array) may be used to perform some or all of the functions of the methods described herein. In embodiments, the field programmable gate array may operate in conjunction with a microprocessor to perform one of the methods described herein. In general, the methods are preferably performed by some hardware device.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art can variously modify and change the present invention within the scope without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that it can be done.

Claims (9)

A method of modeling a virtual 3D object based on a user's network state by an edge cloud server, comprising:
Receiving channel state information from a first user terminal;
measuring a data rate of the first user terminal based on the channel state information;
receiving request information for a specific virtual 3D object from the first user terminal; and
Transmitting information on the specific virtual 3D object to the first user terminal based on the data rate,
The information on the specific virtual 3D object includes information on N separate parts obtained by dividing the specific virtual 3D object into N, wherein N is a natural number of 2 or more,
A resolution of a first separation part among the N separation parts is different from a resolution of a second separation part different from the first separation part;
The resolution of each of the N separated parts is determined based on the data rate,
How to model a virtual 3D object. The method according to claim 1,
The first separation part,
It is determined as one of the candidates of M first separated parts having different resolutions, wherein M is a natural number of 2 or more,
How to model a virtual 3D object. 3. The method according to claim 2,
The method further comprising the step of transmitting update information on the specific virtual 3D object to the first user terminal,
The update information for the specific virtual 3D object includes information on N separated parts having the highest resolution,
How to model a virtual 3D object. The method according to claim 1,
Information on the N separate parts,
including location information and quality information for each of the N separated parts,
How to model a virtual 3D object. 5. The method according to claim 4,
The location information is
and information indicating a second user terminal located within a predetermined distance from the edge cloud server or the first user terminal,
The quality information is
It contains information indicating one of M candidates having different resolutions, wherein M is a natural number of 2 or more,
How to model a virtual 3D object. The method according to claim 1,
including at least one virtual 3D object information and descriptive information about the at least one virtual 3D object from an AR (Augmented Reality) cloud server; and
The method further comprising: modeling the at least one virtual 3D object based on description information about the at least one virtual 3D object;
How to model a virtual 3D object. 7. The method of claim 6,
The step of modeling the at least one virtual 3D object based on the description information about the at least one virtual 3D object includes:
dividing the at least one virtual 3D object into a plurality of separate parts based on description information about the at least one virtual 3D object; and
generating candidates having a plurality of different resolutions for each of the plurality of separated parts based on the description information on the at least one virtual 3D object;
How to model a virtual 3D object. The method according to claim 1,
When the information on the specific virtual 3D object does not exist in the edge cloud server or the second user terminal located within a predetermined distance from the first user terminal, request information for the specific virtual 3D object is transferred to the AR (Augmented Reality) cloud Further comprising the step of sending to the server,
How to model a virtual 3D object. As an edge cloud server that models virtual 3D objects based on the user's network status,
processor; and
At least one instruction to be executed through the processor comprises a stored memory (memory),
The at least one command is
is executed to receive channel state information from the first user terminal,
is executed to measure the data rate of the first user terminal based on the channel state information,
is executed to receive request information for a specific virtual 3D object from the first user terminal,
and transmit information on the specific virtual 3D object to the first user terminal based on the data rate,
The information on the specific virtual 3D object includes information on N separate parts obtained by dividing the specific virtual 3D object into N, wherein N is a natural number of 2 or more,
A resolution of a first separation part among the N separation parts is different from a resolution of a second separation part different from the first separation part;
The resolution of each of the N separated parts is determined based on the data rate,
Edge Cloud Server.

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