KR102042651B1 - Apparatus and method for transmitting and receiving information using sparse vector coding - Google Patents

Abstract

According to the present invention, an operation method of a transmission apparatus in a wireless communication system comprises the steps of: quantizing information to calculate quantized information and quantization error information; using the quantized information and the quantization error information to perform sparse coding to have a sparsity where the number of nonzero symbols is K; multi-code spreading the coded information using a spreading codebook; and transmitting a channel by overlapping the spread information. Accordingly, by additionally transmitting the quantization error information using sparse coding in the process of transmitting the quantized information, the reliability of the information is increased, the number of resources required can be reduced, and thus the reconstruction performance is improved.

Description

Method and apparatus for transmitting and receiving information using sparse vector coding {APPARATUS AND METHOD FOR TRANSMITTING AND RECEIVING INFORMATION USING SPARSE VECTOR CODING}

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to information transmission and reception techniques, and in particular, sparse vector coding and sparse information for simultaneously transmitting quantized information and analog information in a feedback channel in ultra-reliable and low latency communication (URLLC). A device and method using a multi-code spreading and compressed sensing receiver.

Recently, high-reliability low-delay communications as a future technology is increasing its interest to utilize in real time, virtual reality, unmanned facilities, factory automation facilities. This URLLC technology should transmit with minimal transmission delay while transmitting so that transmission failure rarely occurs.

However, existing data channel transmission methods rely on complex channel coding and channel decoding methods to prevent transmission failure. Thus, low latency is difficult to achieve with complex signal processing. In addition, information is transmitted through insensitive quantization of noise. In this case, there is an error in the quantization process, which causes a problem of inaccurate information. For this purpose, analog information can be directly transmitted. In this case, a large amount of resources are consumed compared to using quantization due to an estimation error.

The present invention provides an apparatus for coding quantized information, an apparatus for coding analog information, and a plurality of codes by using a plurality of codes. An apparatus for spreading transmission, and an apparatus and method for recovering a rare signal using the same, are provided.

In order to achieve the above object, according to an aspect of the present invention, in a method of operating a transmitting device in a wireless communication system, quantizing information to calculate quantized information and quantization error information, the quantized information and quantization error Using the information, performing sparse coding to have a sparsity of which the number of non-zero symbols is K, multi-code spreading the coded information using a spreading codebook, and the spreaded Transmitting the channel by overlapping the information.

According to an embodiment of the present invention, performing the sparse coding may include determining positions of K nonzero symbols according to the quantized information, and using the non-zero symbols using the quantization error information. Determining the size of may include.

According to an embodiment of the present disclosure, the multiple code spreading of the coded information includes non-orthogonal multiple code spreading of the coded information using K codes in the spreading codebook. The K codes may be determined by the location of K nonzero symbols according to the quantized information.

According to an embodiment of the present invention, the method may further include receiving the spread codebook generated for each user or channel.

According to an embodiment of the present invention, the quantization error information may include a magnitude of a voltage, a magnitude of a current, a magnitude of a voltage of a capacitor, a magnitude of power between resistors, a magnitude of power, or a processing bit of a DSP included in a sensor note. It can be indicated by any of the quantized values as levels.

According to an embodiment of the present invention, the information is feedback information, and the step of transmitting the channel by overlapping the spread information includes allocating the spread information to time, frequency, or spatial resources, and assigning the allocation. And transmitting a feedback channel through the allocated resource.

According to another aspect of the present invention, in a method of operating a receiving apparatus in a wireless communication system, receiving a rare signal having a sparse degree of which the number of nonzero symbols is K, the received rare signal using a spreading codebook Calculating quantized information through sparse decoding from; determining whether noise is less than a reference value; and reconstructing original information based on the quantized information according to the determination result.

According to an embodiment of the present disclosure, the calculating of the quantized information through sparse decoding may include identifying K codes used for spreading the received rare signal by the transmitting apparatus using the spreading codebook, And based on the K codes, detecting a position of a non-zero symbol from the received sparse signal using a compressed sensing technique, and recovering the quantized information.

According to an embodiment of the present disclosure, when the noise is smaller than a reference value, the method may further include calculating quantization error information by estimating a value of power used in the transmitted code.

According to an embodiment of the present disclosure, the restoring of the original information may include restoring the original information by combining the quantized information and the quantization error information when the noise is smaller than a reference value, and the noise is a reference. If larger than the value, the method may include restoring the original information using only the quantized information.

According to another aspect of the present invention, in a transmitting apparatus in a wireless communication system, quantized information to calculate quantized information and quantization error information, and using the quantized information and quantization error information, the number of nonzero symbols At least one processor for performing sparse coding such that sparse is K, and spreading the coded information using a spreading codebook, and a transceiver for transmitting a channel by superimposing the spreaded information. It includes.

According to an embodiment of the present disclosure, the at least one processor may determine positions of K nonzero symbols according to the quantized information and determine the size of the nonzero symbols using the quantization error information. Can be.

According to one embodiment of the invention, the at least one processor, non-orthogonal multiple code spreading the coded information using the K code in the spreading codebook, the K code, the quantized information It can be determined by the position of the K non-zero symbols along.

According to an embodiment of the present disclosure, the transceiver may receive the spread codebook generated for each user or for each channel.

According to an embodiment of the present invention, the information is feedback information, and the at least one processor allocates the spread information to time, frequency, or spatial resources, and transmits a feedback channel through the allocated resources. Can be controlled.

According to another aspect of the present invention, in a receiving apparatus in a wireless communication system, a transceiver for receiving a sparse signal having a sparity of which the number of nonzero symbols is K, and the received sparse using a spreading codebook And at least one processor for calculating quantized information through sparse decoding from the signal, determining whether noise is less than a reference value, and reconstructing original information based on the quantized information according to the determination result.

According to an embodiment of the present disclosure, the at least one processor identifies the K codes used for spreading the received rare signal in the transmitting apparatus using the spreading codebook, and based on the K codes, Compressed sensing techniques may be used to detect the location of a non-zero symbol from the received sparse signal and to recover the quantized information.

According to an embodiment of the present disclosure, when the noise is smaller than a reference value, the at least one processor may calculate quantization error information by estimating a value of power used in a transmitted code.

According to an embodiment of the present disclosure, when the noise is less than a reference value, the at least one processor may restore the original information by combining the quantized information and the quantization error information, and the noise may be greater than the reference value. If large, the original information may be restored using only the quantized information.

The method and apparatus proposed by the present invention can greatly reduce the number of resources required while increasing the reliability of the information by transmitting analog information in addition to the process of transmitting the quantized information. In addition, even when the noise of the signal is increased and the accuracy of the analog information is lost, quantization information can be obtained, so that very high reliability can be maintained. The benefit of miniaturization is that the complexity of the transmitter and receiver is very low.

In addition, the method and apparatus proposed by the present invention maps and transmits each quantized information for each non-zero symbol position among the symbols, and transmits analog information to the size of the transmitted symbol, thereby achieving higher reception performance. The advantage is that it is possible to transmit more reliable than before.

The effects obtained in the present invention are not limited to the above-mentioned effects, and other effects not mentioned above may be clearly understood by those skilled in the art from the following description. will be.

1 illustrates a conventional feedback channel transmission process.
2 illustrates a feedback channel transmission process according to an embodiment of the present invention.
3 illustrates a sparse vector coding method according to an embodiment of the present invention.
4 illustrates a non-orthogonal code spreading method according to an embodiment of the present invention.
FIG. 5 is a graph illustrating a block error ratio (BLER) performance comparison of a feedback channel according to an embodiment of the present invention. FIG.
6 is a graph illustrating a mean squared error (MSE) performance comparison of reconstructed information of a feedback channel according to an embodiment of the present invention.
7 is a graph illustrating an effective throughput performance of a feedback channel according to an embodiment of the present invention.
8 is a flowchart illustrating a transmission process in a transmission apparatus according to an embodiment of the present invention.
9 is a flowchart illustrating a receiving process in a receiving apparatus according to an embodiment of the present invention.
10 illustrates a signal processing flow of a transmitter and a transmitter according to an embodiment of the present invention.
11 illustrates a signal processing flow of a receiving apparatus and a receiving apparatus according to an embodiment of the present invention.

Advantages and features of the present invention, and methods for achieving them will be 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 can be implemented in various forms. It is provided to fully convey the scope of the invention to those skilled in the art, and the present invention is defined only by the scope of the claims. Like reference numerals refer to like elements throughout.

In describing the embodiments of the present disclosure, when it is determined that a detailed description of a known function or configuration may unnecessarily obscure the subject matter of the present disclosure, the detailed description thereof will be omitted, and the following terms are used in the embodiments of the present disclosure. Terms are defined in consideration of the function of the may vary depending on the user or operator's intention or custom. Therefore, the definition should be made based on the contents throughout the specification.

Combinations of each block of the block diagrams and respective steps of the flowcharts may be performed by computer program instructions (executable engines), which may be executed on a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment. As such, instructions executed through a processor of a computer or other programmable data processing equipment create means for performing the functions described in each block of the block diagram or in each step of the flowchart.

These computer program instructions may also be stored in a computer usable or computer readable memory that can be directed to a computer or other programmable data processing equipment to implement functionality in a particular manner, and thus the computer usable or computer readable memory. The instructions stored therein may also produce an article of manufacture containing instruction means for performing the functions described in each block of the block diagram or in each step of the flowchart.

And computer program instructions can also be mounted on a computer or other programmable data processing equipment, such that a series of operating steps can be performed on the computer or other programmable data processing equipment to create a computer-implemented process that can be executed by the computer or other programmable data. Instructions for performing data processing equipment may also provide steps for performing the functions described in each block of the block diagram and in each step of the flowchart.

In addition, each block or step may represent a portion of a module, segment or code that includes one or more executable instructions for executing specific logical functions, and in some alternative embodiments referred to in blocks or steps It should be noted that the functions may occur out of order. For example, the two blocks or steps shown in succession may, in fact, be performed substantially concurrently, or the blocks or steps may be performed in the reverse order of the corresponding function, as required.

Hereinafter, an embodiment of a transmitter and a receiver for transmitting and receiving a feedback channel using sparse coding in a wireless communication system will be described in detail with reference to the accompanying drawings. In the present specification, a transmitting end (transmitting device) describes a terminal, and a receiving end (receiving device) describes a base station as an example. However, embodiments of the present invention illustrated in the following may be modified in many different forms, the scope of the present invention is not limited to the embodiments described in the following. In addition, the present invention describes a control channel transmission as an embodiment, but is not necessarily limited thereto, and may be generally applied to a channel configuration having a small size of information to be transmitted. Embodiments of the present invention are provided to more fully describe the present invention to those skilled in the art.

1 illustrates a conventional feedback channel transmission process.

Referring to FIG. 1, a process of transmitting feedback information or feedback information through a feedback channel according to the related art is illustrated. First, information 101 to be transmitted is quantized 103 through a quantizer. In this case, the feedback information 101 to be transmitted includes a small amount of information such as temperature, temperature, speed, and motion, and multidimensional information such as a vector and a matrix. The quantized information is modulated 105 into a signal suitable for communication via a modulator, and the modulated signal is transmitted through a resource allocator to a time, frequency, or spatial resource through a resource allocator. Resource mapping (mapping) 107. Thereafter, the signal is converted into a radio signal through a transmission circuit of the transmitter and transmitted 109.

The converted and transmitted wireless signal is received by the receiver 111 through a wireless channel. The receiver restores the received signal to the baseband signal through the resource role 113 based on predetermined resource position information or information indicated by the transmitter. The baseband signal is converted into quantized information 117 through demodulation 115, through which transmission of feedback information is completed.

Since the information 101 passes through the quantization 103 in the conventional method, it is assumed that the information transmitted and the received information are the same, and that the quantized information through the quantization 103 is the same as the received quantized information 117. Proceeds under. However, a quantization error always occurs during the quantization 103, and a quantizer having a very high resolution is required to minimize such an error. Such quantizers are expensive and are difficult to use in low-cost, low-power sensor environments such as Internet of things (IoT) terminals. Accordingly, the present invention proposes a feedback transmission method having a very small quantization error even when a quantizer having a low resolution is used.

That is, the present invention proposes a method of obtaining similar or higher performance than that of using a high resolution quantizer by simultaneously transmitting quantized information and quantization error and reconstructing them very effectively. Hereinafter, a method of transmitting and restoring a feedback channel according to an embodiment proposed by the present invention is illustrated in FIGS. 2 to 4.

2 illustrates a feedback channel transmission process according to an embodiment of the present invention.

Referring to FIG. 2, first, information 201 to be transmitted is quantized at low resolution through a quantizer. In the process of quantization 203, two pieces of information, quantized information and quantization error information, may be obtained. The quantized information is displayed as binary bits and output, and the quantization error information is output as analog information. For example, analog information may be a quantized value such as the magnitude of a voltage, the magnitude of a current, the magnitude of a voltage of a capacitor, the magnitude of power between resistors, the magnitude of power, or the processing bit level of the DSP included in the sensor note. And the like, and recorded in the memory.

The quantized information of the two pieces of information obtained in the quantization process 203 serves to designate a non-zero position of the vector for sparse vector coding in the sparse allocation process 205. In other words, the code actually used for transmission is selected from the non-orthogonal spreading codes according to the quantized information.

Analog information of the two pieces of information obtained in the quantization process is used for power allocation 204. According to an embodiment of the present invention, when K spreading codes are selected and the analog information is a (a is a normalized value between 0 and 1), the power distribution 204 method may include: 1) K amount of power 2) Allocating the same power to K-1 and allocating one power differently, that is, 1 / (K-1 + a) for K-1 And assign a / (K-1 + a) to the other one, 3) assign 1 / (K-n + na) to Kn and a / (K-n + na) to the remaining n Allocation method. That is, the power distribution 204 of the power splitter may be determined based on the analog information.

For non-orthogonal spreading, the spreading codebook may be configured per user, per transmission resource location, or transmission time location using a user index or a predetermined rule. The spreading codebook has a non-orthogonal spreading (diffusion) code of N, and an optional non-orthogonal multiple code spreading 207 may be used which selects one or more spreading codes from the codebook through sparse coding and simultaneously sends them to the same resource. The signal spread by non-orthogonal multiple code spreading 207 is allocated to time, frequency, or spatial resources via resource allocation 209 and transmitted 211 through a transmitter.

The transmitted wireless signal is received 213 through a receiver over a wireless channel. The receiver restores the received signal to the baseband signal through the resource role 215 based on predetermined resource position information or information indicated by the transmitter. The quantized information 219 may be obtained from the baseband signal through the support sensing 217 by the compression sensing technique, and the analog information 220 may be obtained by the estimation 218. The original information reconstruction 221 may be performed by combining the quantized information 219 and the analog information 220, thereby reconstructing the original information 223.

3 illustrates a sparse vector coding method according to an embodiment of the present invention. According to one embodiment of the invention, as shown in FIG. 2, a specific method of sparse vector coding of the sparse allocation process 205 is shown.

Referring to FIG. 3, the quantized information 301, that is, the quantized feedback information z 304, may be represented as an integer. For example, 00, 01, 10, 11 may be represented by 0, 1, 2, Can be expressed as 3. In the case of sparse coding, when N is 4 and the number of non-zero elements (sparse) K is 2, five possible types are 0011, 0110, 1001, 1010, and 1100, which are integers. 3, 6, 9, 10, 12 can be represented. Therefore, sparse coding can be expressed as a process of mapping integers between z and x. That is, sparse locations 302 of nonzero elements in sparse vector x 305 may be determined according to quantized information z 304. When the analog information is added thereto, if one analog information is transmitted, the above-described sparse vectors 0011, 0110, 1001, 1010, and 1100 may be changed to 00aa, 0aa0, a00a, a0a0, and aa00. If more than one analog information is transmitted, the analog information may be mapped to the magnitude of the sparse vector such as 00ab, 0ab0, a00b, a0b0, or 00ba, 0ba0, b00a, b0a0, as shown in the x vector 306 of FIG. Can be. In other words, the position of the nonzero symbol of the sparse vector coding symbol 303 may be determined by the quantized information, and the magnitude of the sparse vector may be determined by the analog information.

4 illustrates a non-orthogonal code spreading method according to an embodiment of the present invention.

In general, if the resource size of the transmission signal to be transmitted is m, the length of the spreading code is m, so the number of different binary codes that can be made to length m is 2 m powers (2 ^m ). One feedback channel may use a code of N. Of the N codes 404, the codes actually used for transmission are K codes according to the sparsity, which is configured according to the positions of non-zero elements in which quantized information is selected during encoding.

Referring to FIG. 4, the encoded signal x as shown in FIG. 3 includes elements 406 that are zero and elements 407 and 408 that are not zero, which are multiplied by a codebook C 403 configured differently for each channel. K codes are selected from the N codes. The selected code is nested in the resource of m. Therefore, when K is 2, two spreading codes are transmitted simultaneously. At this time, according to an embodiment of the present invention, the value of x may mean power used in the spreading code, and the value of the power is determined through non-zero elements 407 and 408 determined according to analog information. do.

FIG. 5 is a graph illustrating a block error ratio (BLER) performance comparison of a feedback channel according to an embodiment of the present invention. FIG. For example, according to the prior art, the BLER graph 501 in the case of transmitting 8-bit information in Repetition code 1/3, the BLER graph 505 in the case of transmitting 12-bit information in Repetition code 1/2 and the present invention The BLER graph 503 in the case of transmitting 9-bit information (transmitted with analog information) by a sparse vector coding method of Fig. 3 is shown.

Referring to FIG. 5, it can be seen that the technology proposed in the present invention has almost similar quantized information transfer performance compared to the case of using the same resource in an additive white Gaussian noise (AWGN) channel environment compared to the conventional technology. That is, as shown in Fig. 5, the sparse vector coding method of the present invention shows a BLER between 8 bits and 12 bits similarly to the prior art, and thus shows similar information transfer performance, in proportion to the amount of information transmitted. You can check it.

6 is a graph illustrating a mean squared error (MSE) performance comparison of reconstructed information of a feedback channel according to an embodiment of the present invention. For example, FIG. 6 illustrates an error MSE graph 601 between sensing information obtained by reconstructing analog information and quantized information in a feedback channel by the rare vector reconstruction method of the present invention. 603, 605, and 607).

Referring to FIG. 6, it is confirmed that the method proposed by the present invention can recover existing information with similar or better accuracy than the conventional method without going through a very high resolution quantizer. In particular, as shown in FIG. 6, when the signal to nose ratio (SNR) is about 3 dB or more, that is, when the environment is noisy, it can be confirmed that information can be restored with higher reliability than the conventional method.

7 is a graph illustrating an effective throughput performance of a feedback channel according to an embodiment of the present invention. For example, FIG. 7 illustrates a case in which 8 bit information is transmitted with a repetition code 1/3 according to the prior art by replacing the graph 701 in which the MSE performance of the feedback channel with the effective throughput by the sparse vector reconstruction method of the present invention. The effective throughput graph 703 is shown in comparison with the effective throughput graph 705 in the case of transmitting 12 bits of information by the Repetition code 1/2. In other words, it compares the performance of the technique proposed by the present invention in the case of using a high-performance quantizer.

Referring to FIG. 7, it can be seen that the technique proposed by the present invention exhibits higher performance than the conventional technique when the SNR is 3 dB or more. In other words, when the SNR is 3dB or more, it can be seen that even when a low resolution quantizer is used, the performance is similar to or higher than that of a high resolution quantizer. However, when the SNR is smaller than 3 dB, that is, when the amount of noise is very large, it can be seen that the performance decreases because the probability of an error occurs in the process of measuring the power amount from the code transmitted by the receiver increases. To prevent this, the receiver may be designed to use only quantized information without using analog information when the noise is large, thereby ensuring at least the same effective throughput performance as before.

8 is a flowchart illustrating a transmission process in a transmission apparatus according to an embodiment of the present invention. For example, the transmitting device may be a terminal device.

 First, in step S801, the transmitting device receives a spread codebook generated for each user or for each feedback channel. According to an embodiment of the present invention, the base station may generate a spreading codebook for each user or for each feedback channel, and deliver the spread codebook to each terminal. The spreading codebook may be previously recorded in the storage device for each terminal, or it may be possible for the base station to deliver the spreading codebook by instructing signaling or delivering configuration information.

Next, in step S803, the transmitting device derives the quantized information and the analog information in the process of quantizing the information. For example, the transmission apparatus may calculate and store analog information, which is quantized feedback information and quantization error information, in the process of quantizing the feedback information.

Thereafter, in step S805, the transmitting apparatus performs sparse vector coding using the derived information. In other words, the transmitting apparatus performs sparse vector coding using the quantized information and the analog information derived in step S803. According to an embodiment of the present invention, the transmission apparatus may determine the non-zero position of the sparse vector using the quantized information, and determine the size of each element of the sparse vector using the analog information to perform sparse vector coding. have. In this case, sparse vector coding may be performed to have a sparity of which the number of non-zero symbols is K. FIG.

Next, in step S807, the transmitting apparatus performs multiple code spreading using the sparse coded information. For example, the transmitting apparatus may perform non-orthogonal multiple code spreading using the spreading codebook received in step S801 using the sparse vector coded symbol in step S805. For non-orthogonal spreading, the spreading codebook may be configured per user, per transmission resource location, or transmission time location using a user index or a predetermined rule.

Finally, in step S809, the transmitting device allocates a transmission resource and generates a transmission signal. For example, in step S807, the transmitting device may allocate the multi-code spread signal to time, frequency, or spatial resources and transmit the same through the transmitter.

9 is a flowchart illustrating a receiving process in a receiving apparatus according to an embodiment of the present invention. For example, the receiving device may be a base station device.

First, in step S901, the receiving device configures a spreading codebook. According to an embodiment of the present invention, the base station may configure a spreading codebook for each user or for each feedback channel, deliver the spreading codebook to each terminal, and use it to recover a signal transmitted from the terminal using the spreading codebook. The spreading codebook may be previously recorded in the storage device for each terminal, or the spreading codebook may be delivered by the base station instructing signaling or delivering configuration information.

Next, in step S903, the receiving apparatus detects the non-sparse position of the sparse vector from the received signal using the spreading codebook. In this case, the non-sparse position of the sparse vector means a position of a non-zero symbol in the sparse coding vector. In other words, the receiving apparatus may identify the spreading code transmitted from the feedback channel signal received from the transmitting apparatus by using the spreading codebook configured for each terminal or for each channel.

Thereafter, in step S905, the receiving device obtains quantized information through the determined code index. For example, the receiving apparatus may obtain sparse decoding corresponding to the reverse process of the sparse coding using the value or index of the spreading code identified in step S903 to obtain quantized information in the transmitting apparatus.

Next, in step S907, the receiving device determines whether the noise of the wireless environment is smaller than the reference. For example, the receiving device may determine noise based on whether a signal to noise ratio (SNR) of the received signal is greater than a preset reference, or calculate noise to determine whether the noise is smaller than a preset reference. . If the noise is smaller than the preset reference, step S909 is performed. If the noise is not smaller than the preset reference, step S909 is omitted and step S911 is performed. According to other embodiments, the order of performing the step S907 of determining the noise in the wireless environment is not limited and may be performed before the step S903 or before the step S905 and may be performed at any step if the original information is restored after the signal is received. .

If the noise is smaller than the preset reference, in step S909 the receiving device obtains analog information through sparse signal recovery. For example, the receiving device can obtain analog information by estimating the value of the power used in the transmitted code. The accuracy of power value estimation can reduce the reliability of information rather than in a noisy environment. Therefore, in the environment where noise is less than the reference, analog information and quantized information are combined to restore the original information, thereby increasing the reliability and accuracy of the information, and in the noisy environment, restoring the original information using only the quantized information. Can provide similar reliability.

Finally, in step S911, the receiving device restores the original information. As described above, the receiving device may restore the original information by using the quantized information or the quantized information and the analog information according to the noise.

10 illustrates a signal processing flow of a transmitter and a transmitter according to an embodiment of the present invention. For example, the transmitting apparatus includes a quantizer 1002, a sparse coder 1003, a power divider 1004, a spreader 1005, a codebook generator 1006, a resource allocator 1008, and a layer mapper 1009. And an RF module 1010.

Referring to FIG. 10, the original information 1001 to be transmitted generates quantized information through the quantizer 1002, and analog information, which is quantization error information, is also obtained. The quantized information is converted into a sparse signal through the sparse coder 91003, and the analog information is converted into the magnitude of each sparse vector through the power distributor 1004. Thereafter, the converted signal is spread non-orthogonally multiple codes through the spreader 1005, and the codebook generated by the codebook generator 1006 using the user index 1007 including user information or channel information is used. Thereafter, the spread signal is mapped to time / frequency resources through the resource allocator 1008, and signal processing for multi-antenna transmission is performed through the layer mapper 1009. Finally, the processed signal is transmitted to the wireless channel through the RF module 1010.

For example, the transmitting device may include at least one processor, the quantizer 1002, the sparse coder 1003, the power splitter 1004, the spreader 1005, the codebook generator 1006, The function of the resource allocator 1008 may be performed by at least one processor. In addition, the transmitting apparatus may include a transceiver, and the functions of the layer mapper 1009 and the RF module 1010 may be performed by the transceiver.

11 illustrates a signal processing flow of a receiving apparatus and a receiving apparatus according to an embodiment of the present invention. For example, the receiving device may include an RF module 1101, a resource role drawer 1102, a compression sensing based detector 1103, a codebook generator 1104, a sparse decoder 1106, an estimator 1107, and the like. have.

Referring to FIG. 11, a receiving device (eg, a base station) receives a feedback channel signal through an RF device. The receiving device restores the received feedback channel signal to the baseband signal through the resource role assignor 1102 based on predetermined resource position information or information instructed by the transmitting device. Recognizes the code transmitted from the baseband signal reconstructed by the proposed compression sensing based receiver 1103, which is generated through the codebook generator 1104 from the user index 1105, which is a unique identifier of the user (terminal). Is performed using Compression sensing is a technique for reconstructing a transmitted signal based on a small number of measurements. For example, a compression sensing algorithm such as MMP-DF may be used. Thereafter, the inverse process of sparse coding is performed through the sparse decoder 1106 to recover quantized information from the identified information, and to obtain analog information through the estimator 1107. The reconstructed quantized information and analog information may be combined to obtain the original information 1108 delivered.

For example, the receiving device may include at least one processor, and includes a resource role processor 1102, a compression sensing based detector 1103, a codebook generator 1104, a sparse decoder 1106, and an estimator 1107. The function may be performed by at least one processor of the receiving device. In addition, the receiving apparatus may include a transceiver, and the function of the RF module 1101 may be performed by the transceiver.

Although described above with reference to the embodiments, those skilled in the art can be variously modified and changed within the scope of the present invention without departing from the spirit and scope of the invention described in the claims below. I can understand.

Claims (20)

In the method of operating the transmitting apparatus in a wireless communication system,
Quantizing the information to calculate quantized information and quantization error information;
Using the quantized information and the quantization error information, performing sparse coding to have a sparity of which the number of nonzero symbols is K;
Multiple code spreading the coded information using a spreading codebook; And
Transmitting the channel by overlapping the spread information;
Performing the sparse coding may include:
Determining positions of K nonzero symbols according to the quantized information; And
And determining the size of the non-zero symbol using the quantization error information. delete The method of claim 1,
Multiple code spreading the coded information,
Non-orthogonal multiple code spreading of the coded information using K codes in the spreading codebook,
And the K codes are determined by the location of K nonzero symbols according to the quantized information. The method of claim 1,
And receiving the spreading codebook generated for each user or for each channel. The method of claim 1,
The quantization error information may be indicated by any one of a magnitude of a voltage, a magnitude of a current, a magnitude of a voltage of a capacitor, a magnitude of power between resistors, a magnitude of power, or a quantized value of a processing bit level of a DSP included in a sensor note. The operation method of a transmitter. The method of claim 1,
The information is feedback information,
Transmitting the channel by overlapping the spread information,
Allocating the spread information to time, frequency, or spatial resources, and transmitting a feedback channel through the allocated resources. In the method of operation of the receiving device in a wireless communication system,
Receiving a sparse signal having a sparity of which the number of non-zero symbols is K;
Calculating quantized information through sparse decoding from the received sparse signal using a spreading codebook;
Determining whether noise is less than a reference value; And
Restoring original information based on the quantized information according to the determination result;
Wherein the sparse signal, the position of the K non-zero symbols are determined according to the quantized information, the size of the non-zero symbol is determined using the quantization error information is sparse coded. The method of claim 7, wherein
Computing the quantized information through the sparse decoding,
Identifying K codes used for spreading the received sparse signal in a transmitting apparatus using the spreading codebook; And
Based on the K codes, detecting a position of a non-zero symbol from the received sparse signal by using a compressed sensing technique, and restoring the quantized information. How it works. The method of claim 7, wherein
And calculating the quantization error information by estimating a value of power used in a transmitted code when the noise is smaller than a reference value. The method of claim 9,
Restoring the original information,
If the noise is smaller than a reference value, the original information is restored by combining the quantized information and the quantization error information.
Restoring the original information using only the quantized information when the noise is greater than a reference value. A transmitting device in a wireless communication system,
Quantize the information to yield quantized information and quantization error information, and use the quantized information and the quantization error information to perform sparse coding so as to have a sparity of which the number of nonzero symbols is K, and spread. At least one processor for multiple code spreading the coded information using a codebook; And
And a transceiver configured to transmit the channel by overlapping the spread information.
The at least one processor,
And determine the positions of the K non-zero symbols according to the quantized information, and determine the size of the non-zero symbols by using the quantization error information. delete The method of claim 11,
The at least one processor,
Non-orthogonal multiple code spreading of the coded information using K codes in the spread codebook,
And the K codes are determined by positions of K nonzero symbols according to the quantized information. The method of claim 11,
The transceiver,
And a transmission codebook generated for each user or for each channel. The method of claim 11,
The quantization error information may be indicated by any one of a magnitude of a voltage, a magnitude of a current, a magnitude of a voltage of a capacitor, a magnitude of power between resistors, a magnitude of power, or a quantized value of a processing bit level of a DSP included in a sensor note. Transmission device. The method of claim 11,
The information is feedback information,
And the at least one processor is configured to assign the spread information to time, frequency, or spatial resources, and to transmit a feedback channel through the allocated resources. A receiving device in a wireless communication system,
A transceiver for receiving a sparse signal having a sparity of which the number of non-zero symbols is K; And
At least for calculating quantized information through sparse decoding from the received sparse signal using a spread codebook, determining whether noise is less than a reference value, and restoring original information based on the quantized information according to the determination result One processor;
The sparse signal is rarely coded according to the quantized information, the location of the K non-zero symbols, the size of the non-zero symbol is determined using the quantization error information is sparse coded. The method of claim 17,
The at least one processor,
The spreading codebook is used to identify K codes used for spreading the received rare signal in the transmitting apparatus, and based on the K codes, from the received rare signal using a compressed sensing technique. And detecting the position of a non-zero symbol and recovering the quantized information. The method of claim 17,
The at least one processor,
And calculating the quantization error information by estimating a value of power used in a transmitted code when the noise is smaller than a reference value. The method of claim 19,
The at least one processor,
If the noise is smaller than a reference value, the original information is restored by combining the quantized information and the quantization error information.
And restore the original information using only the quantized information when the noise is larger than a reference value.

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