TW202329642A - 機器學習輔助的自我調整天線調諧 - Google Patents

機器學習輔助的自我調整天線調諧 Download PDF

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Publication number
TW202329642A
TW202329642A TW111132037A TW111132037A TW202329642A TW 202329642 A TW202329642 A TW 202329642A TW 111132037 A TW111132037 A TW 111132037A TW 111132037 A TW111132037 A TW 111132037A TW 202329642 A TW202329642 A TW 202329642A
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TW
Taiwan
Prior art keywords
wireless data
data transmission
transmission system
system configuration
antenna
Prior art date
Application number
TW111132037A
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English (en)
Chinese (zh)
Inventor
迪亞哥 卡爾佐拉里
大衛樓維斯 溫斯婁
吉赫米 赫佛
約翰 波蘿
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 TW202329642A publication Critical patent/TW202329642A/zh

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/10—Monitoring; Testing of transmitters
    • H04B17/11—Monitoring; Testing of transmitters for calibration
    • H04B17/12—Monitoring; Testing of transmitters for calibration of transmit antennas, e.g. of the amplitude or phase
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/38—Transceivers, i.e. devices in which transmitter and receiver form a structural unit and in which at least one part is used for functions of transmitting and receiving
    • 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
    • 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
    • G06N3/08—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
    • G06N3/092—Reinforcement learning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/02—Transmitters
    • H04B1/04—Circuits
    • H04B1/0458—Arrangements for matching and coupling between power amplifier and antenna or between amplifying stages
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
    • H04B1/06—Receivers
    • H04B1/16—Circuits
    • H04B1/18—Input circuits, e.g. for coupling to an antenna or a transmission line
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/318—Received signal strength
    • H04B17/328—Reference signal received power [RSRP]; Reference signal received quality [RSRQ]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • H04B17/336—Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W8/00—Network data management
    • H04W8/22—Processing or transfer of terminal data, e.g. status or physical capabilities
    • H04W8/24—Transfer of terminal data

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Electromagnetism (AREA)
  • Quality & Reliability (AREA)
  • Databases & Information Systems (AREA)
  • Transmitters (AREA)
  • Details Of Aerials (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Radio Transmission System (AREA)
TW111132037A 2021-08-31 2022-08-25 機器學習輔助的自我調整天線調諧 TW202329642A (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US17/463,290 US11916606B2 (en) 2021-08-31 2021-08-31 Machine learning-assisted adaptive antenna tuning
US17/463,290 2021-08-31

Publications (1)

Publication Number Publication Date
TW202329642A true TW202329642A (zh) 2023-07-16

Family

ID=83283199

Family Applications (1)

Application Number Title Priority Date Filing Date
TW111132037A TW202329642A (zh) 2021-08-31 2022-08-25 機器學習輔助的自我調整天線調諧

Country Status (7)

Country Link
US (2) US11916606B2 (https=)
EP (1) EP4396948A1 (https=)
JP (1) JP2024532235A (https=)
KR (1) KR20240051118A (https=)
CN (1) CN117917013A (https=)
TW (1) TW202329642A (https=)
WO (1) WO2023034706A1 (https=)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11916606B2 (en) 2021-08-31 2024-02-27 Qualcomm Incorporated Machine learning-assisted adaptive antenna tuning
US20240080055A1 (en) * 2022-09-02 2024-03-07 Samsung Electronics Co., Ltd. Antenna impedance and frequency tuning using physical-interaction detection aided by machine learning
US20240204813A1 (en) * 2022-12-14 2024-06-20 Meta Platforms Technologies, Llc Apparatus, system, and method for dynamically tuning radios based on detectable use-case scenarios
US20260010621A1 (en) * 2024-07-08 2026-01-08 Bank Of America Corporation Artificial intelligence-based determination of data security techniques to be implemented for electronic data transmissions

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170272108A1 (en) * 2016-03-21 2017-09-21 Qualcomm Incorporated Modem adaptive antenna tuning (maat)
US11533640B2 (en) 2019-11-01 2022-12-20 Qualcomm Incorporated Machine learning-assisted use case classification and adaptive antenna tuning
US11463138B2 (en) 2019-12-20 2022-10-04 Qualcomm Incorporated Neural network and antenna configuration indication
KR102710819B1 (ko) * 2020-03-19 2024-09-26 엘지전자 주식회사 Ai를 이용한 이동통신 방법
US11916606B2 (en) 2021-08-31 2024-02-27 Qualcomm Incorporated Machine learning-assisted adaptive antenna tuning

Also Published As

Publication number Publication date
US20230061864A1 (en) 2023-03-02
JP2024532235A (ja) 2024-09-05
KR20240051118A (ko) 2024-04-19
CN117917013A (zh) 2024-04-19
WO2023034706A1 (en) 2023-03-09
EP4396948A1 (en) 2024-07-10
US20240223286A1 (en) 2024-07-04
US12328151B2 (en) 2025-06-10
US11916606B2 (en) 2024-02-27

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