TWI891712B - 使用峰值降低音調的基於機器學習的接收器效能改善 - Google Patents

使用峰值降低音調的基於機器學習的接收器效能改善

Info

Publication number
TWI891712B
TWI891712B TW110102471A TW110102471A TWI891712B TW I891712 B TWI891712 B TW I891712B TW 110102471 A TW110102471 A TW 110102471A TW 110102471 A TW110102471 A TW 110102471A TW I891712 B TWI891712 B TW I891712B
Authority
TW
Taiwan
Prior art keywords
neural network
receiver
prt
transmitter
wireless communication
Prior art date
Application number
TW110102471A
Other languages
English (en)
Chinese (zh)
Other versions
TW202135510A (zh
Inventor
南宮俊
克瑞許納奇藍 穆卡維利
泰尚 柳
納嘉 布桑
季庭方
帕樊庫馬爾 維泰拉德芙尼
傑庫馬 桑達拉拉貞
Original Assignee
美商高通公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 美商高通公司 filed Critical 美商高通公司
Publication of TW202135510A publication Critical patent/TW202135510A/zh
Application granted granted Critical
Publication of TWI891712B publication Critical patent/TWI891712B/zh

Links

Classifications

    • 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
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2614—Peak power aspects
    • H04L27/2618—Reduction thereof using auxiliary subcarriers
    • 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
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2614—Peak power aspects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B3/00—Line transmission systems
    • H04B3/02—Details
    • H04B3/04—Control of transmission; Equalising
    • H04B3/06—Control of transmission; Equalising by the transmitted signal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B3/00—Line transmission systems
    • H04B3/02—Details
    • H04B3/20—Reducing echo effects or singing; Opening or closing transmitting path; Conditioning for transmission in one direction or the other
    • H04B3/23—Reducing echo effects or singing; Opening or closing transmitting path; Conditioning for transmission in one direction or the other using a replica of transmitted signal in the time domain, e.g. echo cancellers
    • H04B3/238—Reducing echo effects or singing; Opening or closing transmitting path; Conditioning for transmission in one direction or the other using a replica of transmitted signal in the time domain, e.g. echo cancellers using initial training sequence
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B3/00—Line transmission systems
    • H04B3/02—Details
    • H04B3/46—Monitoring; Testing
    • 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
    • H04L27/2601—Multicarrier modulation systems
    • H04L27/2614—Peak power aspects
    • H04L27/2615—Reduction thereof using coding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0048—Allocation of pilot signals, i.e. of signals known to the receiver
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Biology (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Transceivers (AREA)
  • Dc Digital Transmission (AREA)
TW110102471A 2020-02-24 2021-01-22 使用峰值降低音調的基於機器學習的接收器效能改善 TWI891712B (zh)

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US202062980776P 2020-02-24 2020-02-24
US62/980,776 2020-02-24
US202063009369P 2020-04-13 2020-04-13
US63/009,369 2020-04-13
US17/154,215 US11804998B2 (en) 2020-02-24 2021-01-21 Machine learning based receiver performance improvement using peak reduction tones
US17/154,215 2021-01-21

Publications (2)

Publication Number Publication Date
TW202135510A TW202135510A (zh) 2021-09-16
TWI891712B true TWI891712B (zh) 2025-08-01

Family

ID=77366362

Family Applications (1)

Application Number Title Priority Date Filing Date
TW110102471A TWI891712B (zh) 2020-02-24 2021-01-22 使用峰值降低音調的基於機器學習的接收器效能改善

Country Status (9)

Country Link
US (2) US11677605B2 (https=)
EP (2) EP4111655A1 (https=)
JP (1) JP7665642B2 (https=)
KR (1) KR20220139893A (https=)
CN (2) CN115104292B (https=)
BR (1) BR112022015851A2 (https=)
PH (1) PH12022551801A1 (https=)
TW (1) TWI891712B (https=)
WO (2) WO2021173272A1 (https=)

Families Citing this family (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11677605B2 (en) 2020-02-24 2023-06-13 Qualcomm Incorporated Machine learning based uplink coverage enhancement using peak reduction tones
US20210314270A1 (en) 2020-04-01 2021-10-07 Qualcomm Incorporated Dynamic packet buffering duration
US11743086B2 (en) * 2020-05-04 2023-08-29 Qualcomm Incorporated Tone reservation for peak to average power ratio reduction
US11817986B2 (en) * 2020-07-09 2023-11-14 Qualcomm Incorporated Carrier aggregation peak to average power ratio reduction using peak reduction tones
US11996968B2 (en) 2020-08-25 2024-05-28 Qualcomm Incorporated Neural augmentation for device nonlinearity mitigation in x-node machine learning
KR102947796B1 (ko) * 2021-03-26 2026-04-02 지티이 코포레이션 톤 예약을 위한 구성 방법
US12218781B2 (en) 2021-04-13 2025-02-04 Samsung Electronics Co., Ltd Enhancement of channel estimation in wireless communication based on supervised learning
KR20230164188A (ko) * 2021-04-13 2023-12-01 구글 엘엘씨 데이터 스트리밍을 위한 엔드-투-엔드 신경망 구성을 적용한 무선 시스템
US11658708B2 (en) * 2021-07-02 2023-05-23 Qualcomm Incorporated Codebook embedding generation and processing
US20250047568A1 (en) * 2021-12-14 2025-02-06 Sony Group Corporation Transmission device, reception device, transmission method, and reception method
US11595237B1 (en) * 2022-05-03 2023-02-28 Qualcomm Incorporated Peak reduction tone allocation
CN114884793A (zh) * 2022-07-08 2022-08-09 清华四川能源互联网研究院 基于凸优化的ofdm信号峰均比抑制算法、系统、设备及介质
US12517159B2 (en) 2022-08-04 2026-01-06 Viasat, Inc. Machine learning based tuning of radio frequency apparatuses
KR102879796B1 (ko) * 2022-12-08 2025-11-03 한국전자기술연구원 강화학습 기반 sc-fdma 시스템의 papr 감소 장치
CN116189427B (zh) * 2023-01-12 2024-05-28 东风悦享科技有限公司 一种基于prt的可移动式站点换乘方法及系统
CN116975032B (zh) * 2023-07-14 2024-04-12 南京领行科技股份有限公司 数据对齐方法、系统和电子设备及存储介质
US12231277B1 (en) * 2023-08-16 2025-02-18 Qualcomm Incorporated Tone reservation techniques in full-duplex networks
WO2025099839A1 (ja) * 2023-11-07 2025-05-15 株式会社Ｎｔｔドコモ 端末、無線通信方法及び基地局

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109600335A (zh) * 2019-01-17 2019-04-09 山东建筑大学 基于神经网络的aco-ofdm系统综合papr抑制方法及系统

Family Cites Families (32)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2161826C2 (ru) * 1998-08-17 2001-01-10 Пензенский научно-исследовательский электротехнический институт Способ автоматической идентификации личности
US6721673B2 (en) * 2001-06-12 2004-04-13 National Instruments Corporation Estimating a plurality of tones in an input signal
JP4073753B2 (ja) * 2002-10-24 2008-04-09 正哉 太田 マルチキャリア通信方法及びマルチキャリア通信装置
KR100754617B1 (ko) * 2004-10-11 2007-09-05 삼성전자주식회사 직교 주파수 분할 다중화 통신 시스템에서 피크대 평균전력비를 최소화시키기 위한 장치 및 방법
CN101512945A (zh) * 2006-09-15 2009-08-19 富士通株式会社 用于通过多载波方式发送信号的装置及方法
WO2008060202A1 (en) * 2006-11-13 2008-05-22 Telefonaktiebolaget Lm Ericsson (Publ) A method for limiting local bandwidth impairment using tone reservation
JP4264841B2 (ja) * 2006-12-01 2009-05-20 ソニー株式会社 音声認識装置および音声認識方法、並びに、プログラム
KR101314254B1 (ko) * 2007-02-16 2013-10-02 삼성전자주식회사 Ｏｆｄｍ 송수신 시스템 및 그 방법
CN101689955B (zh) * 2007-06-29 2013-03-20 日本电气株式会社 发送信号生成装置、方法
US20090080556A1 (en) * 2007-09-25 2009-03-26 Chunjie Duan Reducing Peak-to-Average-Power-Ratio in OFDM/OFDMA Signals by Deliberate Error Injection
US8243844B2 (en) 2007-11-30 2012-08-14 Futurewei Technologies, Inc. Power reduction for digital subscriber line
WO2009152038A1 (en) * 2008-06-13 2009-12-17 Conexant Systems, Inc. Systems and methods for positioning and messaging of reserved tones for peak-to-average ratio (par) reduction in dsl systems
US8213536B2 (en) * 2008-06-13 2012-07-03 Ikanos Communications, Inc. Low complexity systems and methods for peak-to-average ratio (PAR) reduction using reserved tones
WO2012030319A2 (en) * 2009-06-26 2012-03-08 Hypres, Inc. System and method for controlling combined radio signals
US8917784B2 (en) 2009-07-17 2014-12-23 Qualcomm Incorporated Method and apparatus for constructing very high throughput long training field sequences
US8676574B2 (en) * 2010-11-10 2014-03-18 Sony Computer Entertainment Inc. Method for tone/intonation recognition using auditory attention cues
EP2796166A1 (en) * 2013-04-23 2014-10-29 Lighten Aps Personalised lighting control
US8804862B2 (en) 2012-01-09 2014-08-12 King Fahd University Of Petroleum And Minerals Method of performing peak reduction and clipping mitigation
CN105814856B (zh) * 2013-11-26 2019-02-12 普鲁斯恩公司 控制组合波形的方法、设备和系统、组合多个信号的设备
US20150268686A1 (en) * 2014-03-19 2015-09-24 University Of Florida Research Foundation, Inc. Social networking reducing peak power consumption in smart grid
EP3225004A4 (en) * 2014-11-24 2018-06-20 Telefonaktiebolaget LM Ericsson (publ) Using a precoded multi-carrier modulation scheme in a wireless communication network
WO2016200186A1 (en) 2015-06-09 2016-12-15 Samsung Electronics Co., Ltd. Method for determining reserved tones and transmitter for performing papr reduction using tone reservation
KR101833041B1 (ko) 2015-06-09 2018-02-27 삼성전자주식회사 예약 톤 설계 방법 및 톤 예약 방식을 이용하여 papr 저감을 수행하는 송신기
US9929890B2 (en) 2015-06-09 2018-03-27 Samsung Electronics Co., Ltd. Method for determining reserved tones and transmitter for performing PAPR reduction using tone reservation
KR102597582B1 (ko) 2015-06-09 2023-11-03 삼성전자주식회사 예약 톤 설계 방법 및 톤 예약 방식을 이용하여 papr 저감을 수행하는 송신기
US10084632B2 (en) 2016-09-22 2018-09-25 Apple Inc. System and method for peak-to-average power ratio reduction of OFDM signals via weighted gradient-based adaptive peak cancellation
KR102530000B1 (ko) 2017-06-19 2023-05-08 버지니아 테크 인터렉추얼 프라퍼티스, 인크. 다중 안테나 송수신기를 이용한 무선 송신을 위한 정보의 인코딩 및 디코딩
US10469310B2 (en) 2017-08-07 2019-11-05 Futurewei Technologies, Inc. System and method for transmit power control
EP3759654A4 (en) * 2018-03-02 2021-09-08 Deepsig Inc. LEARNING COMMUNICATION SYSTEMS USING CHANNEL PROXIMITY
CN108833071B (zh) 2018-03-19 2020-11-10 中国科学院电子学研究所 一种相位同步方法和装置
WO2020226386A1 (ko) * 2019-05-03 2020-11-12 엘지전자 주식회사 무선통신시스템에서 사이드링크 신호를 송신하는 방법
US11677605B2 (en) 2020-02-24 2023-06-13 Qualcomm Incorporated Machine learning based uplink coverage enhancement using peak reduction tones

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109600335A (zh) * 2019-01-17 2019-04-09 山东建筑大学 基于神经网络的aco-ofdm系统综合papr抑制方法及系统

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
網路文獻 L. Li, C. Tellambura and X. Tang Improved Tone Reservation Method Based on Deep Learning for PAPR Reduction in OFDM System 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP) 2019/12/31 https://www.ece.ualberta.ca/~chintha/resources/papers/2019/LI_2.pdf *

Also Published As

Publication number Publication date
CN115152190B (zh) 2024-03-22
JP7665642B2 (ja) 2025-04-21
TW202135510A (zh) 2021-09-16
JP2023515453A (ja) 2023-04-13
EP4111656A1 (en) 2023-01-04
WO2021173267A1 (en) 2021-09-02
CN115152190A (zh) 2022-10-04
WO2021173272A1 (en) 2021-09-02
KR20220139893A (ko) 2022-10-17
US11804998B2 (en) 2023-10-31
CN115104292A (zh) 2022-09-23
EP4111655A1 (en) 2023-01-04
US20210266210A1 (en) 2021-08-26
US11677605B2 (en) 2023-06-13
PH12022551801A1 (en) 2024-02-12
CN115104292B (zh) 2024-06-25
US20210266036A1 (en) 2021-08-26
BR112022015851A2 (pt) 2022-10-04

Similar Documents

Publication Publication Date Title
TWI891712B (zh) 使用峰值降低音調的基於機器學習的接收器效能改善
US12047216B2 (en) Machine learning based nonlinearity mitigation using peak reduction tones
TWI871356B (zh) ４ｇ和５ｇ網路中的上行鏈路及下行鏈路串流位元率輔助
US11690022B2 (en) Managing transmit power control
WO2021022391A1 (en) Inter-numerologies interference avoidance for long term evolution (lte) and 5g new radio (nr) spectrum sharing
JP7721547B2 (ja) Ｔｘ波形歪みを受信機に伝達するための方法
CN116325882B (zh) 具有pdcp重传的mrb架构
TWI861366B (zh) 管理用於無線通訊的資訊傳輸
CN114450987B (zh) 5g/4g系统中的用户平面完整性保护（up ip）能力信令
WO2021197474A1 (en) Managing downlink signal reception
US20210360679A1 (en) Cross-Carrier Scheduling In The Presence Of Multi-Downlink Control Information (DCI)(Multi-DCI) Based Multi-Transmit-Receive Point (MTRP)
WO2021147690A1 (en) Systems and methods for responding to a maximum permissible exposure condition
CN115956246B (zh) 通过使用神经网络的基于峰值降低音调的papr降低方法、设备和介质
US11330665B2 (en) Increasing throughput efficiency in a PDCP channel with ROHC TCP profile
TW202502080A (zh) 管理與網路的通訊鏈路
HK40069788A (en) User plane integrity protection (up ip) capability signaling in 5g/4g systems
HK40069788B (zh) 5g/4g系统中的用户平面完整性保护(up ip)能力信令