WO2024161515A1 - 無線通信システム、無線通信装置、無線通信方法及び信号補償プログラム - Google Patents

無線通信システム、無線通信装置、無線通信方法及び信号補償プログラム Download PDF

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Publication number
WO2024161515A1
WO2024161515A1 PCT/JP2023/003091 JP2023003091W WO2024161515A1 WO 2024161515 A1 WO2024161515 A1 WO 2024161515A1 JP 2023003091 W JP2023003091 W JP 2023003091W WO 2024161515 A1 WO2024161515 A1 WO 2024161515A1
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Prior art keywords
compensation
wireless communication
analog processing
unit
factors
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English (en)
French (fr)
Japanese (ja)
Inventor
圭太 栗山
仁 長谷川
利文 宮城
聡 須山
貴之 山田
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NTT Docomo Inc
NTT Inc
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NTT Docomo Inc
Nippon Telegraph and Telephone Corp
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Priority to JP2024574115A priority Critical patent/JP7787337B2/ja
Priority to PCT/JP2023/003091 priority patent/WO2024161515A1/ja
Publication of WO2024161515A1 publication Critical patent/WO2024161515A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/005Control of transmission; Equalising

Definitions

  • the present invention relates to a wireless communication system, a wireless communication device, a wireless communication method, and a signal compensation program.
  • the received quadrature components I and Q may be affected by different interferences, resulting in signals with different attenuation and phase rotation (IQ imbalance).
  • IQ imbalance occurs, the quality of wireless communications deteriorates, so technology is needed to estimate and compensate for the phenomenon.
  • Non-Patent Document 1 In addition to IQ imbalance, other technologies have been proposed for wireless communication that compensate for analog-processed signals that are transmitted by a transmitter using radio waves and received by a receiver, such as nonlinear distortion of an amplifier, carrier frequency offset, and phase noise (see, for example, Non-Patent Document 1).
  • the present invention has been made in consideration of the above-mentioned problems, and aims to provide a wireless communication system, wireless communication device, wireless communication method, and signal compensation program that can accurately compensate for a processed signal that is analog-processed in the process of receiving a signal transmitted by a transmitting device using radio waves, even if multiple device failures occur in the processed signal.
  • a wireless communication system performs wireless communication by compensating for a processed signal that is analog-processed in the process of receiving a signal transmitted by a transmitting device using radio waves
  • the transmitting device has a first calculation unit that estimates each of a plurality of factors that reduce the accuracy of analog processing of the processed signal using a function model and calculates the weight that each of the plurality of factors accounts for in the reduction in the accuracy of the analog processing, and a transmitting analog processing unit that performs processing to transmit each of the function models and weights estimated by the first calculation unit
  • the receiving device has a receiving analog processing unit that receives each of the function models and weights transmitted by the transmitting analog processing unit, and a transmitting analog processing unit that receives each of the function models and weights transmitted by the transmitting analog processing unit
  • the system is characterized by having a second calculation unit that estimates each of a plurality of factors that reduce the accuracy of analog processing of a signal using a function model and calculates the weight that each of the plurality of factors accounts for in
  • a wireless communication device is a wireless communication device that performs wireless communication by compensating a processed signal that is analog-processed in the process of transmitting and receiving using radio waves
  • the wireless communication device is characterized in that it has a receiving analog processing unit that receives a plurality of function models corresponding to a plurality of factors that reduce the accuracy of analog processing of the processed signal estimated by a first calculation unit provided in another wireless communication device, and the weights that each of the plurality of factors accounts for the reduction in the accuracy of the analog processing, a second calculation unit that estimates each of a plurality of factors that reduce the accuracy of analog processing of the processed signal using a function model and calculates the weights that each of the plurality of factors accounts for the reduction in the accuracy of the analog processing, a second compensation unit that compensates the processed signal using each of the function models based on each of the function models and weights received by the receiving analog processing unit and the weights calculated by the second calculation unit, a third calculation unit that calculates the weights that each
  • a wireless communication method is a wireless communication method for performing wireless communication by compensating a processed signal that is analog-processed in the process of receiving a signal transmitted by a transmitting device using radio waves, the processed signal being received by a receiving device, the method comprising: a first calculation step in which the transmitting device estimates, using a function model, each of a plurality of factors that reduce the accuracy of analog processing of the processed signal, and calculates the weight that each of the plurality of factors accounts for in the reduction in the accuracy of analog processing; and a transmission analog processing step in which the transmitting device transmits each of the function models and weights estimated by the first calculation step; a receiving analog processing step in which the receiving device receives each of the function models and weights transmitted by the transmission analog processing step;
  • the method includes a second calculation step of estimating each of a plurality of factors that reduce the accuracy of log processing using a function model and calculating the weight each of the plurality of factors has on the reduction in accuracy of analog processing, a second compensation step
  • the processed signal can be compensated for with high accuracy.
  • FIG. 1 is a diagram showing an outline of the configuration of a wireless communication system.
  • FIG. 10 is a diagram illustrating a schematic configuration including a compensation model of a wireless communication system that compensates for multiple device failures as a comparative example.
  • FIG. 1 is a diagram illustrating a schematic configuration including a compensation model of a wireless communication system that compensates for multiple device failures according to an embodiment.
  • 1 is a flowchart illustrating an example of an operation of a wireless communication system according to an embodiment.
  • FIG. 13 is a diagram showing a schematic configuration of another form of a wireless communication system according to an embodiment.
  • FIG. 13 is a diagram illustrating a schematic configuration including a compensation model of a regenerative repeater station.
  • FIG. 1 is a diagram illustrating a schematic configuration including a compensation model of a receiving device.
  • FIG. 2 is a diagram illustrating an example of a hardware configuration of a receiving device according to an embodiment.
  • Figure 1 shows an overview of the configuration of a wireless communication system.
  • the wireless communication system is configured such that, for example, radio waves transmitted by a transmitting device (transmitting station) 1 are received by a receiving device (receiving station) 2.
  • the wireless communication system performs wireless communication by compensating the processed signal that is analog-processed in the process of receiving the signal transmitted by the transmitting device 1 using radio waves at the receiving device 2.
  • the transmitting device 1 has a transmission digital processing unit 10, a transmission analog processing unit 12, and an antenna 14.
  • the transmission digital processing unit 10 performs digital processing for transmitting a signal.
  • the transmission analog processing unit 12 performs analog processing for transmitting a signal, and transmits the signal via the antenna 14.
  • the transmission analog processing unit 12 has, for example, a quadrature modulation circuit 30, a frequency conversion circuit 32, and a power amplification circuit 34.
  • a device failure due to IQ imbalance may occur.
  • a device failure due to phase noise may occur.
  • a device failure due to nonlinear distortion may occur.
  • the receiving device 2 has an antenna 20, a receiving analog processing unit 22, and a receiving digital processing unit 24.
  • the receiving analog processing unit 22 receives a signal via the antenna 20, and performs analog processing, for example, to make the signal demodulatable.
  • the receiving digital processing unit 24 performs digital processing on the signal received by the receiving analog processing unit 22.
  • the receiving analog processing unit 22 has, for example, a frequency conversion circuit 40 and an orthogonal demodulation circuit 42.
  • a device failure due to phase noise may occur.
  • the orthogonal demodulation circuit 42 a device failure due to IQ imbalance may occur.
  • a fading channel exists. Furthermore, a carrier frequency offset may occur between the frequency conversion circuit 32 and the frequency conversion circuit 40.
  • At least one of the transmission digital processing unit 10 and the reception digital processing unit 24 estimates each device failure for each event and performs compensation for device failures that may occur decoded.
  • G is a functional model representation of the device impairments of the analog devices.
  • H100 is the transfer function of the fading channel in the transmitter 1 and the receiver 2.
  • the receiving digital processing unit 24 has a first calculation unit 70 and a first compensation unit 72.
  • the first calculation unit 70 estimates multiple factors that reduce the accuracy of analog processing of the processed signal using function models (function model 50, function model 52, H100, function model 60, function model 62), and calculates the weight (compensation weight) that each of the multiple factors accounts for in the reduction in accuracy of analog processing.
  • the first compensation unit 72 compensates the processed signal that is analog-processed using each of the function models (function model 50, function model 52, H100, function model 60, function model 62) based on the weights calculated by the first calculation unit 70.
  • FIG. 3 is a diagram illustrating a schematic configuration including a compensation model of a wireless communication system that compensates for multiple device failures according to one embodiment.
  • the reception digital processing unit 24 has a second calculation unit 74 and a second compensation unit 76 in addition to the first calculation unit 70 and first compensation unit 72 described above.
  • the second calculation unit 74 calculates the weights (compensation weights) that each of the multiple factors accounts for in the residual error remaining in the signal compensated by the first compensation unit 72.
  • the second compensation unit 76 performs compensation involving machine learning on the processed signal compensated for by the first compensation unit 72 based on the weights calculated by the second calculation unit 74 and the known signal. For example, the second compensation unit 76 performs compensation involving machine learning on the processed signal by at least one of linear compensation, compensation by a neural network, and nonlinear compensation using a nonlinear activation function. Note that the algorithm of nonlinear compensation executed by the second compensation unit 76 is arbitrary.
  • Figure 4 is a flowchart showing an example of the operation of the wireless communication system according to one embodiment.
  • step 100 the wireless communication system calculates the weights of the function model.
  • step 102 the wireless communication system performs compensation using a function model.
  • step 104 the wireless communication system calculates the weights for nonlinear compensation. For example, the wireless communication system learns the nonlinear compensation weights so as to minimize the residual error based on the compensation results using the function model, the estimated values of the function model, and the known signal.
  • step 106 the wireless communication system performs nonlinear compensation of the residual error.
  • the wireless communication system performs residual error compensation based on the compensation result using the function model and the nonlinear compensation weight.
  • step 108 the wireless communication system performs digital processing such as demodulation.
  • FIG. 5 is a diagram showing the outline of the configuration of another form of wireless communication system according to one embodiment.
  • a single stage of regenerative relay station (relay station) 3a relays radio waves transmitted by a transmitting device (transmitting station) 1a so that the receiving device (receiving station) 2a receives the radio waves.
  • the wireless communication system performs wireless communication by compensating the processed signal that is analog-processed in the process of receiving the signal transmitted by the transmitting device 1a using radio waves at the receiving device 2a.
  • the regenerative relay station 3a has the functions of both a transmitting device and a receiving device, and relays the signal transmitted by the transmitting device 1a to the receiving device 2a.
  • the wireless communication system transmits the device impairment model and channel transfer function estimated by the transmitting device 1a or regenerative repeater station 3a as auxiliary information (sub-information) to the downstream regenerative repeater station 3a or receiving device 2a.
  • the downstream regenerative repeater station 3a or receiving device 2a is then configured to perform nonlinear compensation using the transmitted device impairment model and channel transfer function.
  • the transmitting device 1a or regenerative repeater station 3a may be configured to receive feedback of the auxiliary information when performing pre-compensation before transmitting a signal.
  • FIG. 6 is a diagram illustrating a schematic configuration including a compensation model of a regenerative relay station 3a.
  • the regenerative relay station 3a illustrated in FIG. 6 has a receiving analog processing unit 22a, a digital processing unit 24a, and a transmitting analog processing unit 26a.
  • the reception analog processing unit 22a receives a signal transmitted by, for example, the transmitting device 1a, and performs analog processing, for example, to make the signal demodulatable.
  • the digital processing unit 24a performs digital processing on the signal received by the reception analog processing unit 22a.
  • the transmission analog processing unit 26a performs analog processing so that the signal digitally processed by the reception analog processing unit 22a is transmitted to, for example, the receiving device 2a.
  • the transmission analog processing unit 26a performs processing to transmit each of the function models and weights estimated by the first calculation unit 70.
  • the receiving analog processing unit 22a provided in the regenerative relay station 3a receives, for example, each of the function models and weights transmitted by the transmitting device 1a.
  • the digital processing unit 24a has, for example, a first calculation unit 70, a first compensation unit 72, a demodulation and decoding unit 77, an addition unit 78, and a modulation and coding unit 79.
  • the demodulation/decoding unit 77 demodulates and decodes the signal compensated by the first compensation unit 72.
  • the addition unit 78 adds the function models (function model 50, function model 52, H100, function model 60, function model 62) estimated by the first calculation unit 70 and weights (compensation weights) to the signal demodulated and decoded by the demodulation/decoding unit 77 and outputs the signal.
  • the modulation/encoding unit 79 modulates and encodes the signal output by the addition unit 78.
  • FIG. 7 is a diagram illustrating a schematic configuration including a compensation model of a receiving device 2a.
  • the receiving device 2a illustrated in FIG. 7 has a receiving analog processing unit 22a and a receiving digital processing unit 24b.
  • the receiving digital processing unit 24b has a second calculation unit 80, a second compensation unit 82, an extraction unit 83, a third calculation unit 84, and a third compensation unit 85.
  • the second calculation unit 80 uses a function model to estimate each of the multiple factors that reduce the accuracy of analog processing of the processed signal, and calculates and outputs the weight that each of the multiple factors occupies in the reduction in accuracy of analog processing.
  • the second compensation unit 82 compensates and outputs the processed signal using each of the function models based on the function models and weights received by the receiving analog processing unit 22a and the weights calculated by the second calculation unit 80.
  • the extraction unit 83 extracts the above-mentioned auxiliary information from the signal output by the second compensation unit 82, and outputs it to the third calculation unit 84 and the third compensation unit 85.
  • the third calculation unit 84 uses, for example, the information output by the second calculation unit 80 and the extraction unit 83 to calculate the weight that each of the multiple factors has on the residual error remaining in the signal compensated by the second compensation unit 82.
  • the third compensation unit 85 performs compensation involving machine learning on the processed signal compensated for by the second compensation unit 82 based on the weight calculated by the third calculation unit 84.
  • the third compensation unit 85 performs compensation involving machine learning on the processed signal by at least one of linear compensation, compensation by a neural network, and nonlinear compensation using a nonlinear activation function.
  • the wireless communication system estimates and compensates for device failures using multiple function models.
  • the wireless communication system may be configured to use any number of function models, or to use any function models.
  • the configuration of the wireless communication system in one embodiment is not limited in form, such as the number of systems (e.g., one-to-one communication, one-to-many communication, many-to-many communication, multi-hop communication via relay stations (including regenerative relay/non-regenerative relay)), antenna configurations (e.g., SIMO/MIMO), and signal properties (e.g., single carrier/multi-carrier transmission).
  • systems e.g., one-to-one communication, one-to-many communication, many-to-many communication, multi-hop communication via relay stations (including regenerative relay/non-regenerative relay)
  • antenna configurations e.g., SIMO/MIMO
  • signal properties e.g., single carrier/multi-carrier transmission.
  • the nonlinear compensation process may be performed by any wireless communication device, such as a transmitting station, a receiving station, or a relay station, and the number of wireless communication devices is not limited.
  • the form of transmission of the sub-information is not limited to the method, and may be a subcarrier, an occupied packet/slot, power multiplexing, MIMO multiplexing, or frequency multiplexing.
  • the wireless communication system performs compensation using machine learning even for residual errors remaining in the compensated signal, so that even if a complex device failure occurs in the processed signal that is analog-processed in the process of receiving the signal transmitted by the transmitting device using radio waves and received by the receiving device, the processed signal can be compensated with high accuracy.
  • each function possessed by the transmitting device 1 and the receiving devices 2, 2a may be configured in part or in whole by hardware such as a PLD (Programmable Logic Device) or an FPGA (Field Programmable Gate Array), or may be configured as a program executed by a processor such as a CPU.
  • a PLD Programmable Logic Device
  • FPGA Field Programmable Gate Array
  • the receiving device 2, 2a can be realized using a computer and a program, and the program can be recorded on a storage medium or provided via a network.
  • FIG. 8 is a diagram showing an example of the hardware configuration of a receiving device 2a according to one embodiment.
  • the receiving device 2a has an input unit 90, an output unit 91, a communication unit 92, a CPU 93, a memory 94, and a HDD 95 connected via a bus 96, and has the functions of a computer.
  • the receiving device 2a is also capable of inputting and outputting data to and from a computer-readable storage medium 97.
  • the input unit 90 is, for example, a keyboard and a mouse.
  • the output unit 91 is, for example, a display device such as a display.
  • the communication unit 92 is a communication interface that performs wireless communication.
  • the CPU 93 controls each component of the receiving device 2a and performs predetermined processing.
  • the memory 94 and HDD 95 are storage devices that store data, etc.
  • the storage medium 97 is capable of storing programs and the like that cause the receiving device 2a to execute the functions of the receiving device 2a. Note that the architecture that constitutes the receiving device 2a is not limited to the example shown in FIG. 5.
  • Quadrature demodulation circuit 50, 52, 60, 62: Function model, 70: First calculation unit, 72: First compensation unit, 74: Second calculation unit, 76: Second compensation unit, 77: Demodulation and decoding unit, 78: Addition unit, 79: Modulation and coding unit, 80: Second calculation unit, 82: Second compensation unit, 83: Extraction unit, 84: Third calculation unit, 85: Third compensation unit, 90: Input unit, 91: Output unit, 92: Communication unit, 93: CPU, 94: Memory, 95: HDD, 96: Bus, 97: Storage medium, 100: H (transfer function)

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PCT/JP2023/003091 2023-01-31 2023-01-31 無線通信システム、無線通信装置、無線通信方法及び信号補償プログラム Ceased WO2024161515A1 (ja)

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PCT/JP2023/003091 WO2024161515A1 (ja) 2023-01-31 2023-01-31 無線通信システム、無線通信装置、無線通信方法及び信号補償プログラム

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WO2020175279A1 (ja) * 2019-02-26 2020-09-03 日本電信電話株式会社 無線通信システム、無線通信方法、送信局装置および受信局装置
WO2021111557A1 (ja) * 2019-12-04 2021-06-10 三菱電機株式会社 送信装置、送信方法および記憶媒体

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JP2021158442A (ja) 2020-03-25 2021-10-07 地方独立行政法人神奈川県立産業技術総合研究所 歪み補償器、歪み補償方法、受信機および送受信機
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