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WO2018189905A1 - Station de base, terminal, programme d'émission, programme de réception, procédé d'émission et procédé de réception - Google Patents

Station de base, terminal, programme d'émission, programme de réception, procédé d'émission et procédé de réception Download PDF

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Publication number
WO2018189905A1
WO2018189905A1 PCT/JP2017/015374 JP2017015374W WO2018189905A1 WO 2018189905 A1 WO2018189905 A1 WO 2018189905A1 JP 2017015374 W JP2017015374 W JP 2017015374W WO 2018189905 A1 WO2018189905 A1 WO 2018189905A1
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Prior art keywords
signals
signal
radio resource
bandwidth
transmission
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PCT/JP2017/015374
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English (en)
Japanese (ja)
Inventor
ジヤンミン ウー
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富士通株式会社
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Priority to PCT/JP2017/015374 priority Critical patent/WO2018189905A1/fr
Publication of WO2018189905A1 publication Critical patent/WO2018189905A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L27/00—Modulated-carrier systems
    • H04L27/26—Systems using multi-frequency codes

Definitions

  • the present invention relates to a base station, a terminal, a transmission program, a reception program, a transmission method, and a reception method.
  • CSI is an abbreviation for Channel State Information.
  • a technique for generating a channel for a multi-antenna using wavelet transform is known (see, for example, Patent Documents 1 to 3 below).
  • an object of the present invention is to provide a base station, a terminal, a transmission program, a reception program, a transmission method, and a reception method that can improve transmission quality without feedback of channel state information. To do.
  • the product of the time length and the bandwidth in the radio resource unit to which data is allocated is the same, and the time length and the bandwidth in the radio resource unit A base station, a transmission program, and a transmission comprising: a generation unit that generates a plurality of signals with different combinations of widths by inverse wavelet transform; and a plurality of antennas that respectively transmit the plurality of signals generated by the generation unit A method is proposed.
  • the product of the time length and the bandwidth in the radio resource unit to which the data is allocated is the same, and the combination of the time length and the bandwidth in the radio resource unit is different from each other.
  • a receiving unit that generates a signal by inverse wavelet transform, receives the plurality of signals from a base station that transmits the generated plurality of signals by a plurality of antennas, and a decoding unit that decodes the signals received by the receiving unit A terminal, a receiving program, and a receiving method are proposed.
  • the present invention has an effect that transmission quality can be improved without feedback of channel state information.
  • FIG. 1 is a diagram illustrating an example of a communication system according to an embodiment.
  • FIG. 2 is a diagram illustrating an example of a subcarrier, a transmission slice, and a transmission block according to the embodiment.
  • FIG. 3 is a diagram illustrating an example of noise received by the receiving apparatus according to the embodiment.
  • FIG. 6 is a diagram illustrating an example of the transmitter of the transmission apparatus according to the embodiment.
  • FIG. 7 is a diagram illustrating an example of a receiver of the receiving apparatus according to the embodiment.
  • FIG. 8 is a diagram illustrating an example of a relationship between the SNR and the symbol error rate according to the embodiment.
  • FIG. 9 is a diagram illustrating another example of the relationship between the SNR and the symbol error rate according to the embodiment.
  • FIG. 10 is a diagram illustrating still another example of the relationship between the SNR and the symbol error rate according to the embodiment.
  • FIG. 1 is a diagram illustrating an example of a communication system according to an embodiment.
  • the communication system according to the embodiment includes, for example, a transmission device 100 and a reception device 10.
  • Transmitting apparatus 100 is a base station such as eNB (evolved Node B), for example.
  • the receiving device 10 is a terminal such as a UE (User Equipment).
  • the communication system according to the embodiment shown in FIG. 1 is an M ⁇ 1 MISO communication system in which the transmission apparatus 100 includes M transmission antennas 121 to 12M and the reception apparatus 10 includes one reception antenna 11. is there.
  • M is a natural number of 2 or more.
  • MISO is an abbreviation for Multi Input and Single Output (multiple input single output).
  • the transmission device 100 is a wireless transmission device including a transmitter 110 and M transmission antennas 121 to 12M.
  • the transmitter 110 is a generator (transmitter) that generates signals of M transmission slices 131 to 13M.
  • the transmitter 110 outputs the generated M signals to the transmission antennas 121 to 12M.
  • the transmission slices 131 to 13M will be described later (see, for example, FIG. 2).
  • the transmission antenna 121 wirelessly transmits the signal of the transmission slice 131 output from the transmitter 110.
  • the transmission antennas 122 to 12M wirelessly transmit the signals of the transmission slices 132 to 13M output from the transmitter 110, respectively.
  • the transmission antennas 121 to 12M are antennas arranged at equal intervals in an array.
  • the transmission antennas 121 and 122 are adjacent to each other, the transmission antennas 122 and 123 are adjacent to each other, and the transmission antennas 12 (M ⁇ 1) and 12M are adjacent to each other.
  • the receiving device 10 is a wireless receiving device including a receiving antenna 11 and a receiver 12.
  • the reception antenna 11 is a reception unit that receives each signal wirelessly transmitted from the transmission device 100. Then, the receiving antenna 11 outputs the received signal to the receiver 12.
  • the signal received by the receiving antenna 11 includes, for example, a transmission block 31 and noise 32.
  • the transmission block 31 is a combined signal of each signal of the transmission slices 131 to 13M, for example.
  • the noise 32 is noise generated by wireless transmission from the transmission device 100 to the reception device 10.
  • the receiver 12 is a decoding unit (receiver) that decodes each signal of the transmission slices 131 to 13M based on the signal output from the receiving antenna 11.
  • the receiver 12 performs decoding by MLD (Maximum Likelihood Detection).
  • MLD Maximum Likelihood Detection
  • decoding by the receiver 12 is not limited to MLD, and various decoding methods can be used.
  • the channel between the transmission device 100 and the reception device 10 is a channel with a slow fading and a flat frequency.
  • the channel responses of the transmitting antennas 121 to 12M can be simply expressed by complex-valued gain factors h 1 to h M , respectively.
  • the M ⁇ 1 MISO communication system in which the transmission apparatus 100 includes M transmission antennas 121 to 12M and the reception apparatus 10 includes one reception antenna 11 has been described.
  • the receiving device 10 may be configured to include a plurality of receiving antennas.
  • the transmission apparatus 100 is a base station such as eNB and the reception apparatus 10 is a terminal such as UE has been described, but the configuration is not limited thereto.
  • the transmission device 100 may be a terminal such as a UE.
  • the receiving device 10 may be a base station such as an eNB.
  • FIG. 2 is a diagram illustrating an example of a subcarrier, a transmission slice, and a transmission block according to the embodiment.
  • the horizontal direction indicates a time resource
  • the vertical direction indicates a frequency direction.
  • the minimum data transmission unit (radio resource unit) is a subcarrier.
  • transmission slice 131 includes 2 M ⁇ 1 subcarriers 201.
  • Data d 1,1 to d 1,2 ⁇ (M-1) are mapped to 2 M-1 subcarriers 201, respectively.
  • each of the 2 M-1 sub-carrier 201, one unit frequency resources, comprising 8 units frequency resources, is a rectangle of 1 ⁇ 8 in the time frequency plane in FIG.
  • the transmission slice 132 includes 2 M ⁇ 1 subcarriers 202.
  • the data d 2,1 to d 2,2 (M-1) are mapped to 2 M-1 subcarriers 202, respectively.
  • Each of the 2 M ⁇ 1 subcarriers 202 includes 2 units of frequency resources and 4 units of frequency resources, and is a 2 ⁇ 4 rectangle in the time-frequency plane of FIG.
  • the transmission slice 133 includes 2 M ⁇ 1 subcarriers 203.
  • the 2 M-1 sub-carrier 203, each of the data d 3,1 ⁇ d 3,2 ⁇ (M -1) is mapped.
  • Each of the 2 M-1 subcarriers 203 includes 4 units of frequency resources and 2 units of frequency resources, and is a 4 ⁇ 2 rectangle in the time-frequency plane of FIG.
  • transmission slice 13M includes 2 M-1 subcarriers 20M.
  • Data d M, 1 to d M, 2 ⁇ (M ⁇ 1) are mapped to 2 M ⁇ 1 subcarriers 20M, respectively.
  • Each of the 2 M-1 subcarriers 20M includes 8 units of frequency resources and 1 unit of frequency resources, and is an 8 ⁇ 1 rectangle in the time-frequency plane of FIG.
  • transmission slices 131 to 13M each include the same number (2 M-1 ) of subcarriers 201 to 20M. Further, the subcarriers 201 to 20M of the transmission slices 131 to 13M can have different rectangles on the time frequency plane in FIG. 2, but have the same area (time ⁇ frequency). Thereby, the data transmission performance of each subcarrier becomes the same.
  • the mth signal (1 ⁇ m ⁇ M) of the 1st to Mth signals has the time length in subcarrier m of the first signal. 2 m-1 times. Also, the m-th signal (1 ⁇ m ⁇ M) of the first to M-th signals has a bandwidth (frequency bandwidth) in the subcarrier that is 1/2 m ⁇ 1 of that of the first signal.
  • the transmission slices 131 to 13M are mapped to the transmission antennas 121 to 12M of the transmission apparatus 100 and simultaneously transmitted by radio as shown in FIG.
  • the channel between the transmission device 100 and the reception device 10 is a channel with a slow fading and a flat frequency.
  • each channel response in the time domain from time t 1 to time t 2 ⁇ (M-1) and each channel response in the frequency domain from frequency f 1 to frequency f 2 ⁇ (M-1) are the same. is there.
  • the channel response at the j th antenna at time t k and frequency f i can be simply represented by a complex gain factor h j (eg, h 1 to h M shown in FIG. 1).
  • LTE Long Term Evolution
  • OFDM Orthogonal Frequency Division Multiplexing (orthogonal frequency division multiplexing).
  • the OFDM subcarrier is a special conversion of wavelet conversion. That is, the waveform of the OFDM multicarrier is included in the multicarrier based on the wavelet.
  • FIG. 3 is a diagram illustrating an example of noise received by the receiving apparatus according to the embodiment.
  • the noise 32 that interferes with the transmission block 31 shown in FIG. 1 includes, for example, noise corresponding to each combination of time t 1 to t 2 ⁇ (M-1) and frequency f 1 to f 2 ⁇ (M-1). component ⁇ 1,1 ⁇ ⁇ 2 ⁇ (M -1), 2 ⁇ (M-1) are included.
  • the noise component ⁇ k, i at time t k and frequency f i satisfies, for example, the following expression (1).
  • k 1,2, ..., 2 (M-1)
  • i 1,2, ..., a 2 (M-1).
  • ⁇ 2 in the following equation (1) is noise energy received by each subcarrier.
  • the transmission apparatus 100 includes two transmission antennas 121 and 122, and wirelessly transmits the signals of the transmission slices 131 and 132 from the transmission antennas 121 and 122, respectively.
  • each data d 1, 1 is the transmission slice 131 includes two sub-carriers d 1, 2 is mapped.
  • the transmission slice 132 includes two subcarriers to which data d 2,1 and d 2,2 are mapped, respectively.
  • the reception signals received by the reception device 10 include, for example, reception signals r 1 to r 4 .
  • the received signal r 1 is a received component at time t 1 and frequencies f 1 and f 2 .
  • the received signal r 1, and the time t 1 and the frequency f 1, f 2 of the signal component 411, the time t 1 and the frequency f 1, f 2 of the noise 421, include.
  • the received signal r 2 is a received component at time t 2 and frequencies f 1 and f 2 .
  • Received signal r 3 is a received component at times t 1 and t 2 and frequency f 1 .
  • the received signal r 3, the time t 1, t 2 and the frequency f 1 of the signal component 413, the time t 1, t 2 and the frequency f 1 of the noise 423, include.
  • Received signal r 4 is a received component at times t 1 and t 2 and frequency f 2 .
  • the received signal r 4, and the time t 1, t 2 and the signal components 414 of the frequency f 2, and noise 424 of time t 1, t 2 and a frequency f 2, contains.
  • the received signals r 1 to r 4 can be expressed by the following equation (2), for example.
  • noise components eta k, i at time t k and the frequency f i satisfies, for example the following equation (3).
  • the receiving device 10 performs decoding using, for example, MLD.
  • the likelihood function in the AWGN channel can be expressed by, for example, the following equation (4) by minimizing the Euclidean distance.
  • AWGN is an abbreviation for Additive White Gaussian Noise (Additive White Gaussian Noise).
  • the receiving apparatus 10 decodes the data d 1,1 , d 1,2 , d 2,1 , d 2,2 by MLD based on, for example, h 1 and h 2 and the received signals r 1 to r 4. .
  • h 1, h 2 can be for example the reception apparatus 10 obtained by performing channel estimation based on the pilot signal from the transmitter 100.
  • the reception signals r 1 to r 4 can be obtained by filtering the data signal received by the reception device 10 from the transmission device 100 by time and frequency.
  • transmission apparatus 100 includes three transmission antennas 121 to 123, and wirelessly transmits signals of transmission slices 131 to 133 from transmission antennas 121 to 123, respectively. Therefore, the signal received by the receiving apparatus 10 includes the transmission block 31 in which the transmission slices 131 to 133 are synthesized and the noise 32.
  • the transmission slice 131 includes four subcarrier data d 1,1 ⁇ d 1,4 is mapped respectively.
  • Transmission slice 132 includes four subcarriers each mapped with data d 2,1 to d 2,4 .
  • Transmission slice 133 includes four subcarriers each mapped with data d 3,1 to d 3,4 .
  • the receiving apparatus 10 uses the data L 1,1 to d 1,4 , d 2,1 to d 2,4 , d 3,1 to d by MLD based on h 1 to h 3 and each received signal.
  • Decrypt 3,4 . h 1 to h 3 can be obtained, for example, when the receiving apparatus 10 performs channel estimation based on a pilot signal from the transmitting apparatus 100.
  • Each received signal can be obtained by filtering the data signal received from the transmitting apparatus 100 by the receiving apparatus 10 by time and frequency.
  • FIG. 6 is a diagram illustrating an example of the transmitter of the transmission apparatus according to the embodiment.
  • the transmitter 110 includes modulation channel encoding units 611 to 61M, inverse wavelet packet conversion units 621 to 62M (IWPT), and digital / analog conversion. And 631 to 63M (D / A).
  • IWPT is an abbreviation for inverse wavelet packet transform (inverse wavelet packet transform).
  • the modulation channel encoding units 611 to 61M and the inverse wavelet packet conversion units 621 to 62M can be realized by a digital processor such as an FPGA, DSP, or CPU, for example.
  • FPGA is an abbreviation for Field Programmable Gate Array.
  • DSP is an abbreviation for Digital Signal Processor.
  • CPU is an abbreviation for Central Processing Unit (Central Processing Unit).
  • the first data (DATA-1) is input to the modulation channel encoding unit 611.
  • Modulation channel coding section 611 performs channel coding of the input first data, and outputs a signal obtained by channel coding to inverse wavelet packet transform section 621.
  • the signal output from the modulation channel encoding unit 611 to the inverse wavelet packet conversion unit 621 is, for example, 2 M ⁇ 1 signals corresponding to the 2 M ⁇ 1 subcarriers 201 illustrated in FIG.
  • second to Mth data (DATA-2 to DATA-M) are input to modulation channel encoding sections 612 to 61M, respectively.
  • Modulation channel coding sections 612 to 61M perform channel coding of the input second to Mth data, respectively, and output signals obtained by channel coding to inverse wavelet packet transform sections 622 to 62M, respectively.
  • Inverse wavelet packet converters 621 to 62M perform inverse wavelet packet conversion based on different wavelet packets (WP-1 to WP-M) for the signals output from modulation channel encoders 611 to 61M, respectively. .
  • Signals of transmission slices 131 to 13M are obtained by inverse wavelet packet conversion by the inverse wavelet packet converters 621 to 62M, respectively.
  • the inverse wavelet packet transform units 621 to 62M perform inverse wavelet transform by repeating the operation of the orthogonal mirror filter a different number of times.
  • the inverse wavelet packet transform units 621 to 62M perform inverse wavelet transform by repeating the operation of the orthogonal mirror filter once to M times, respectively.
  • the signals of transmission slices 131 to 133 shown in FIG. 2 can be obtained.
  • the inverse wavelet packet converters 621 to 62M output the signals of the transmission slices 131 to 133 to the digital / analog converters 631 to 63M, respectively.
  • the digital / analog converter 631 converts the signal output from the inverse wavelet packet conversion unit 621 from a digital signal to an analog signal, and outputs the converted signal to the transmission antenna 121.
  • the digital / analog converters 632 to 63M convert the signals output from the inverse wavelet packet converters 622 to 62M from digital signals to analog signals, respectively, and output the converted signals to the transmission antennas 122 to 12M, respectively.
  • the signals output from the digital / analog converters 631 to 63M to the transmission antennas 121 to 12M are modulated and wirelessly transmitted from the transmission antennas 121 to 12M.
  • the transmission signal in the discrete domain is composed of continuous modulation symbols that are the sum of 2 M-1 waveforms after channel coding and by inverse wavelet packet transformation based on different wavelet packets. Is done. That is, the kth data (DATA-k) is manipulated by the IWPT based on the kth wavelet packet.
  • FIG. 7 is a diagram illustrating an example of a receiver of the receiving apparatus according to the embodiment.
  • the receiver 12 includes an analog / digital converter 710 (A / D), wavelet packet converters 721 to 72M (WPT), and an MLD decoder. 730.
  • WPT is an abbreviation for Wavelet Packet Transform.
  • the wavelet packet conversion units 721 to 72M and the MLD decoding unit 730 can be realized by a digital processor such as an FPGA, a DSP, or a CPU.
  • Analog / digital converter 710 converts the signal output from reception antenna 11 from an analog signal to a digital signal, and outputs the converted signal to wavelet packet conversion units 721 to 72M.
  • the signal output from the analog / digital converter 710 to the wavelet packet converters 721 to 72M includes the transmission block 31 and noise 32 (for example, AWGN noise).
  • the wavelet packet conversion units 721 to 72M perform wavelet packet conversion (WPT) based on different wavelet packets (WP-1 to WP-M) on the signal output from the analog / digital converter 710.
  • the wavelet packets (WP-1 to WP-M) used by the wavelet packet conversion units 721 to 72M are wavelet packets corresponding to the wavelet packets used by the inverse wavelet packet conversion units 621 to 62M (see FIG. 6), respectively.
  • Each of the wavelet packet conversion units 721 to 72M outputs a signal (subcarrier waveform) obtained by the wavelet packet conversion to the MLD decoding unit 730.
  • the MLD decoding unit 730 obtains the decoding results DATA-1 ′ to DATA-M ′ of the first to Mth data by MLD based on the signals output from the wavelet packet conversion units 721 to 72M. Further, the MLD decoding unit 730 outputs the obtained decoding results DATA-1 ′ to DATA-M ′.
  • Wavelet packet The wavelet packet will be described.
  • discrete wavelet packet conversion can be used for wavelet conversion in the above-described inverse wavelet packet conversion units 621 to 62M and wavelet packet conversion units 721 to 72M.
  • a pair of wavelet filters h [n] and g [n] belong to a high-pass filter and a low-pass filter each having a quadrature mirror filter characteristic.
  • the relationship between h [n] and g [n] is expressed by the following equation (5), for example.
  • DWPT discrete wavelet packet transform
  • a signal is constructed as the sum of 2 j waveforms. These waveforms can be constructed by j successive iterations, each consisting of filtering and upsampling. Accordingly, the discrete wavelet packet transform can be defined as a set of recursive functions, for example, as shown in the following equation (6).
  • FIG. 8 is a diagram illustrating an example of a relationship between the SNR and the symbol error rate according to the embodiment.
  • the horizontal axis indicates the SNR
  • the vertical axis indicates the symbol error rate.
  • SNR is an abbreviation for Signal to Noise Ratio (signal to noise ratio).
  • FIG. 8 shows an example in which QPSK modulation is used as the modulation method.
  • QPSK is an abbreviation for Quadrature Phase Shift Keying.
  • the SNR symbol error rate characteristic 801 indicates the characteristic of the symbol error rate with respect to the SNR in the 2 ⁇ 1 MISO communication system (for example, see FIG. 4) according to the embodiment.
  • the SNR symbol error rate characteristic 802 shows the symbol error rate characteristic with respect to the SNR in a 2 ⁇ 1 MISO communication system that performs precoding by feeding back CSI.
  • An SNR symbol error rate characteristic 803 indicates a symbol error rate characteristic with respect to an SNR in a 1 ⁇ 1 SISO communication system that performs precoding by feeding back CSI.
  • SISO is an abbreviation for Single Input and Single Output (single input single output).
  • FIG. 9 is a diagram illustrating another example of the relationship between the SNR and the symbol error rate according to the embodiment.
  • the horizontal axis indicates the SNR
  • the vertical axis indicates the symbol error rate.
  • FIG. 9 shows an example in which 16QAM modulation is used as the modulation method.
  • QAM is an abbreviation for Quadrature Amplitude Modulation.
  • the SNR symbol error rate characteristic 901 indicates the symbol error rate characteristic with respect to the SNR in the 2 ⁇ 1 MISO communication system (see FIG. 4 for example) according to the embodiment.
  • An SNR symbol error rate characteristic 902 shows a symbol error rate characteristic with respect to SNR in a 2 ⁇ 1 MISO communication system that performs precoding by feeding back CSI.
  • An SNR symbol error rate characteristic 903 indicates a symbol error rate characteristic with respect to an SNR in a 1 ⁇ 1 SISO communication system that performs precoding by feeding back CSI.
  • FIG. 10 is a diagram illustrating still another example of the relationship between the SNR and the symbol error rate according to the embodiment.
  • the horizontal axis indicates the SNR
  • the vertical axis indicates the symbol error rate.
  • FIG. 10 shows an example in which QPSK modulation is used as the modulation method.
  • the SNR symbol error rate characteristic 1001 indicates the characteristic of the symbol error rate with respect to the SNR in the 3 ⁇ 1 MISO communication system (see, for example, FIG. 5) according to the embodiment.
  • An SNR symbol error rate characteristic 1002 shows a symbol error rate characteristic with respect to an SNR in a 3 ⁇ 1 MISO communication system that performs precoding by feeding back CSI.
  • An SNR symbol error rate characteristic 1003 shows a symbol error rate characteristic with respect to an SNR in a 1 ⁇ 1 SISO communication system that performs precoding by feeding back CSI.
  • the MISO communication system according to the embodiment can achieve performance close to the best case of the 1 ⁇ 1 SISO communication system, for example, when the transmission power from each transmission antenna is the same. . Therefore, the MISO communication system according to the embodiment can achieve the same capacity as MISO that performs feedback such as CSI without performing feedback such as CSI.
  • the MISO communication system according to the embodiment can obtain particularly high performance when QPSK modulation is used as a modulation method.
  • the time and frequency size associated with modulation increase, and thus the gain increases.
  • a plurality of signals having the same product of time length and bandwidth and different combinations of time length and bandwidth in the radio resource unit (subcarrier) to which data is allocated are reversed. It can be generated by wavelet transform. A plurality of generated signals can be transmitted from a plurality of antennas. Thereby, transmission quality (for example, error rate) can be improved without transmitting a feedback signal such as CSI from the receiving apparatus 10 to the transmitting apparatus 100, for example.
  • transmission quality for example, error rate
  • transmission quality can be improved without feedback of channel state information.
  • MIMO multiple Input Multiple Output
  • IEEE is an abbreviation for the Institute of Electrical and Electronics Engineers.
  • the linear precoding MIMO scheme is implemented by, for example, ZF, MMSE or SVD when there is sufficient fieldback due to CSI.
  • ZF is an abbreviation for Zero Forcing.
  • MMSE is an abbreviation for Minimum Mean Square Error (least square error method).
  • SVD is an abbreviation for Single Value Decomposition.
  • high capacity gain can be realized without performing CSI feedback by efficient transmission considering frequency and time modulation transmission based on wavelet space.
  • the transmission method and the reception method described in this embodiment can be realized by executing a program prepared in advance on a computer of a communication apparatus.
  • This program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, and a DVD, and is executed by being read from the recording medium by the computer.
  • CD-ROM is an abbreviation for Compact Disc-Read Only Memory.
  • DVD is an abbreviation for Digital Versatile Disc.
  • the program may be a transmission medium that can be distributed via a network such as the Internet.

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Abstract

L'invention concerne un appareil d'émission (100) comprenant un émetteur (110) et des antennes d'émission (121-12M). L'émetteur (110) génère, au moyen d'une transformation en ondelettes inverse, une pluralité de signaux présentant chacun le même produit de la longueur de temps et la largeur de bande dans une unité de ressource radioélectrique, auxquels des données sont attribuées, et présentant également une combinaison différente respective de la longueur de temps et de la largeur de bande dans l'unité de ressource radioélectrique. Les antennes d'émission (121-12M) émettent les signaux respectifs de la pluralité de signaux générés par l'émetteur (110).
PCT/JP2017/015374 2017-04-14 2017-04-14 Station de base, terminal, programme d'émission, programme de réception, procédé d'émission et procédé de réception WO2018189905A1 (fr)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08214308A (ja) * 1995-02-06 1996-08-20 Matsushita Graphic Commun Syst Inc 画像圧縮符号化装置及び画像伸長復号化装置
JPH11252031A (ja) * 1998-03-05 1999-09-17 Toyota Central Res & Dev Lab Inc 受信機
JP2013232915A (ja) * 2010-01-08 2013-11-14 Panasonic Corp Ｏｆｄｍ送信装置、ｏｆｄｍ送信方法、ｏｆｄｍ受信装置及びｏｆｄｍ受信方法
WO2017056796A1 (fr) * 2015-10-01 2017-04-06 ソニー株式会社 Dispositif, procédé et programme

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08214308A (ja) * 1995-02-06 1996-08-20 Matsushita Graphic Commun Syst Inc 画像圧縮符号化装置及び画像伸長復号化装置
JPH11252031A (ja) * 1998-03-05 1999-09-17 Toyota Central Res & Dev Lab Inc 受信機
JP2013232915A (ja) * 2010-01-08 2013-11-14 Panasonic Corp Ｏｆｄｍ送信装置、ｏｆｄｍ送信方法、ｏｆｄｍ受信装置及びｏｆｄｍ受信方法
WO2017056796A1 (fr) * 2015-10-01 2017-04-06 ソニー株式会社 Dispositif, procédé et programme

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