JPWO2021173578A5 - - Google Patents
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- JPWO2021173578A5 JPWO2021173578A5 JP2022549990A JP2022549990A JPWO2021173578A5 JP WO2021173578 A5 JPWO2021173578 A5 JP WO2021173578A5 JP 2022549990 A JP2022549990 A JP 2022549990A JP 2022549990 A JP2022549990 A JP 2022549990A JP WO2021173578 A5 JPWO2021173578 A5 JP WO2021173578A5
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- neural network
- encoder
- encoder neural
- channel
- pilot signal
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- 238000013528 artificial neural network Methods 0.000 claims 22
- 238000000034 method Methods 0.000 claims 17
- 238000004891 communication Methods 0.000 claims 4
- 230000001131 transforming effect Effects 0.000 claims 3
- 238000004590 computer program Methods 0.000 claims 2
- 238000012549 training Methods 0.000 claims 2
- 238000013507 mapping Methods 0.000 claims 1
- 238000005259 measurement Methods 0.000 claims 1
Claims (15)
エンコーダニューラルネットワークおよびデコーダニューラルネットワークを生成するステップと、
受信デバイスに前記デコーダニューラルネットワークを送信するステップと、
非線形性に関して電力増幅器(PA)の動作を制御するために、前記エンコーダニューラルネットワークによって送信波形を変換するステップと、
伝播チャネル上で、前記変換された送信波形を送信するステップと
を含む方法。 A method of wireless communication by a transmitting device, the method comprising:
generating an encoder neural network and a decoder neural network;
transmitting the decoder neural network to a receiving device;
transforming the transmitted waveform by the encoder neural network to control the operation of a power amplifier (PA) with respect to nonlinearity;
transmitting the transformed transmit waveform on a propagation channel.
前記PAが飽和領域の近くで動作することを保証するために、前記送信波形を変換するステップをさらに含む、請求項1に記載の方法。 further comprising transforming the transmitted waveform to ensure that the PA operates in a linear region, or
2. The method of claim 1, further comprising transforming the transmit waveform to ensure that the PA operates near a saturation region.
前記エンコーダニューラルネットワークの損失関数が、前記送信波形のピーク対平均電力比(PAPR)に基づく、請求項1に記載の方法。 further comprising mapping the output of the encoder neural network to orthogonal frequency division multiplexing (OFDM) symbols corresponding to input data, or
2. The method of claim 1, wherein the encoder neural network loss function is based on a peak-to-average power ratio (PAPR) of the transmitted waveform.
前記パイロット信号が、前記符号化の前に挿入され、前記パイロット信号が、前記エンコーダニューラルネットワークによる符号化の前に、データシンボルとともに時分割多重化され、前記エンコーダニューラルネットワークが、サイド情報として、プリコーダ重みまたはプリコーダインデックスを受信する、請求項6に記載の方法。 the pilot signal is precoded and inserted after the encoding, and the precoded pilot signal is time division multiplexed with the output from the encoder neural network, or
The pilot signal is inserted before the encoding, the pilot signal is time-division multiplexed with data symbols before encoding by the encoder neural network, and the encoder neural network includes a precoder as side information. 7. The method of claim 6, receiving weights or precoder indices.
エンコーダニューラルネットワークおよびデコーダニューラルネットワークを生成するステップと、
送信デバイスに前記エンコーダニューラルネットワークを送信するステップと、
前記エンコーダニューラルネットワークによって変換された波形を受信するステップと、
前記デコーダニューラルネットワークを用いて、前記受信された波形からエンコーダ入力シンボルを復元するステップと
を含む方法。 A method of wireless communication by a receiving device, the method comprising:
generating an encoder neural network and a decoder neural network;
transmitting the encoder neural network to a transmitting device;
receiving a waveform transformed by the encoder neural network;
using the decoder neural network to recover encoder input symbols from the received waveform.
Applications Claiming Priority (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US202062980924P | 2020-02-24 | 2020-02-24 | |
US62/980,924 | 2020-02-24 | ||
US17/181,927 US20210266875A1 (en) | 2020-02-24 | 2021-02-22 | MACHINE LEARNING FOR ADDRESSING TRANSMIT (Tx) NON-LINEARITY |
US17/181,927 | 2021-02-22 | ||
PCT/US2021/019277 WO2021173578A1 (en) | 2020-02-24 | 2021-02-23 | MACHINE LEARNING FOR ADDRESSING TRANSMIT (Tx) NON-LINEARITY |
Publications (2)
Publication Number | Publication Date |
---|---|
JP2023514706A JP2023514706A (en) | 2023-04-07 |
JPWO2021173578A5 true JPWO2021173578A5 (en) | 2024-02-22 |
Family
ID=77366822
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2022549990A Pending JP2023514706A (en) | 2020-02-24 | 2021-02-23 | Machine Learning to Address Transmit (Tx) Nonlinearities |
Country Status (8)
Country | Link |
---|---|
US (1) | US20210266875A1 (en) |
EP (1) | EP4111658A1 (en) |
JP (1) | JP2023514706A (en) |
KR (1) | KR20220145827A (en) |
CN (1) | CN115136553B (en) |
BR (1) | BR112022016086A2 (en) |
TW (1) | TW202139660A (en) |
WO (1) | WO2021173578A1 (en) |
Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11570030B2 (en) * | 2019-10-11 | 2023-01-31 | University Of South Carolina | Method for non-linear distortion immune end-to-end learning with autoencoder—OFDM |
US11361223B2 (en) * | 2020-07-24 | 2022-06-14 | Huawei Technologies Co., Ltd. | Hybrid message-passing-algorithm-based deep learning neural network for a massive beam-forming system |
US11765011B2 (en) * | 2021-07-06 | 2023-09-19 | Huawei Technologies Co., Ltd. | Method and apparatus for transmitting and receiving data |
CN115310585A (en) * | 2022-07-04 | 2022-11-08 | 浙江大学 | High-dimensional neural signal dimension reduction method based on self-encoder and application |
CN118091331A (en) * | 2024-04-26 | 2024-05-28 | 国网辽宁省电力有限公司抚顺供电公司 | Cable fault sensing method and system |
Family Cites Families (19)
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US5701398A (en) * | 1994-07-01 | 1997-12-23 | Nestor, Inc. | Adaptive classifier having multiple subnetworks |
JP2001274768A (en) * | 2000-03-27 | 2001-10-05 | Matsushita Electric Ind Co Ltd | Communication system and communication method |
US7230991B2 (en) * | 2003-12-10 | 2007-06-12 | Nec Laboratories America, Inc. | Scheduling method with tunable throughput maximization and fairness guarantees in resource allocation |
KR101221706B1 (en) * | 2006-01-25 | 2013-01-11 | 삼성전자주식회사 | Transmitting/receiving apparatus and method for supporting multiple input multiple output technology in a forward link of a high rate packet data system |
CN101072220A (en) * | 2006-05-08 | 2007-11-14 | 中兴通讯股份有限公司 | Radical basis function neural network predistortion method for adaptive power amplifier |
EP2538553A1 (en) * | 2011-06-21 | 2012-12-26 | Alcatel Lucent | Apparatus and method for mitigating impairments of a transmit signal |
US8811532B2 (en) * | 2012-03-16 | 2014-08-19 | Telefonaktiebolaget L M Ericsson (Publ) | Architecture and the training method of a PA DPD system with space mapping applied in the predistorter |
CN103001591A (en) * | 2012-07-16 | 2013-03-27 | 北京邮电大学 | Method for eliminating nonlinear distortion |
US10374863B2 (en) * | 2012-12-05 | 2019-08-06 | Origin Wireless, Inc. | Apparatus, systems and methods for event recognition based on a wireless signal |
US9917712B2 (en) * | 2016-03-14 | 2018-03-13 | Mitsubishi Electric Research Laboratories, Inc. | Frequency domain equalizer for optical communications |
US10621494B2 (en) * | 2017-11-08 | 2020-04-14 | Samsung Electronics Co., Ltd. | System and method for circuit simulation based on recurrent neural networks |
US11556799B2 (en) * | 2018-01-02 | 2023-01-17 | Nokia Technologies Oy | Channel modelling in a data transmission system |
US10985951B2 (en) * | 2019-03-15 | 2021-04-20 | The Research Foundation for the State University | Integrating Volterra series model and deep neural networks to equalize nonlinear power amplifiers |
WO2021041551A2 (en) * | 2019-08-26 | 2021-03-04 | Board Of Regents, The University Of Texas System | Autoencoder-based error correction coding for low-resolution communication |
CA3154698A1 (en) * | 2019-09-25 | 2021-04-01 | Deepmind Technologies Limited | High fidelity speech synthesis with adversarial networks |
US11570030B2 (en) * | 2019-10-11 | 2023-01-31 | University Of South Carolina | Method for non-linear distortion immune end-to-end learning with autoencoder—OFDM |
KR20210050961A (en) * | 2019-10-29 | 2021-05-10 | 삼성전자주식회사 | Electronic device and operating method for processing an input signal of power amplifier |
WO2021133396A1 (en) * | 2019-12-26 | 2021-07-01 | Shilpa Talwar | Equalization and estimation processing in wireless devices |
CN113269216A (en) * | 2020-02-17 | 2021-08-17 | 富士通株式会社 | Apparatus and method for detecting sound event and storage medium |
-
2021
- 2021-02-22 US US17/181,927 patent/US20210266875A1/en active Pending
- 2021-02-23 BR BR112022016086A patent/BR112022016086A2/en unknown
- 2021-02-23 WO PCT/US2021/019277 patent/WO2021173578A1/en unknown
- 2021-02-23 KR KR1020227028481A patent/KR20220145827A/en unknown
- 2021-02-23 JP JP2022549990A patent/JP2023514706A/en active Pending
- 2021-02-23 CN CN202180015103.3A patent/CN115136553B/en active Active
- 2021-02-23 EP EP21712369.4A patent/EP4111658A1/en active Pending
- 2021-02-24 TW TW110106394A patent/TW202139660A/en unknown
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