CN115023918B - 用于波束故障检测的方法和装置 - Google Patents

用于波束故障检测的方法和装置 Download PDF

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Publication number
CN115023918B
CN115023918B CN202180010871.XA CN202180010871A CN115023918B CN 115023918 B CN115023918 B CN 115023918B CN 202180010871 A CN202180010871 A CN 202180010871A CN 115023918 B CN115023918 B CN 115023918B
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frequency band
radio frequency
rss
measurements
bfd
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Chinese (zh)
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CN115023918A (zh
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H·佩泽什基
A·钱达马拉卡纳
骆涛
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Qualcomm Inc
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Qualcomm Inc
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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
    • H04B7/0686—Hybrid systems, i.e. switching and simultaneous transmission
    • H04B7/0695—Hybrid systems, i.e. switching and simultaneous transmission using beam selection
    • H04B7/06952—Selecting one or more beams from a plurality of beams, e.g. beam training, management or sweeping
    • H04B7/06964—Re-selection of one or more beams after beam failure
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • 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
    • H04B17/00—Monitoring; Testing
    • H04B17/30—Monitoring; Testing of propagation channels
    • H04B17/309—Measuring or estimating channel quality parameters
    • 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
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
    • H04L41/0668—Management of faults, events, alarms or notifications using network fault recovery by dynamic selection of recovery network elements, e.g. replacement by the most appropriate element after failure
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/16—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
    • 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
    • H04L5/0001—Arrangements for dividing the transmission path
    • H04L5/0014—Three-dimensional division
    • H04L5/0023—Time-frequency-space
    • 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
    • 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
    • H04L5/0078—Timing of allocation
    • H04L5/0085—Timing of allocation when channel conditions change
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/20—Control channels or signalling for resource management
    • H04W72/21—Control channels or signalling for resource management in the uplink direction of a wireless link, i.e. towards the network
    • 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
    • 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

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Quality & Reliability (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Monitoring And Testing Of Transmission In General (AREA)
  • Environmental & Geological Engineering (AREA)
  • Measurement Of Radiation (AREA)
  • Radiation-Therapy Devices (AREA)
  • Particle Accelerators (AREA)
  • Radar Systems Or Details Thereof (AREA)
CN202180010871.XA 2020-01-31 2021-01-27 用于波束故障检测的方法和装置 Active CN115023918B (zh)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US202062968668P 2020-01-31 2020-01-31
US62/968,668 2020-01-31
US17/158,656 2021-01-26
US17/158,656 US11606243B2 (en) 2020-01-31 2021-01-26 Beam failure detection in a second band based on measurements in a first band
PCT/US2021/015283 WO2021154847A1 (en) 2020-01-31 2021-01-27 Beam failure detection in a second band based on measurements in a first band

Publications (2)

Publication Number Publication Date
CN115023918A CN115023918A (zh) 2022-09-06
CN115023918B true CN115023918B (zh) 2025-06-27

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US (1) US11606243B2 (https=)
EP (1) EP4097901A1 (https=)
JP (1) JP7761568B2 (https=)
KR (1) KR20220132539A (https=)
CN (1) CN115023918B (https=)
BR (1) BR112022014413A2 (https=)
WO (1) WO2021154847A1 (https=)

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US11838782B2 (en) * 2020-01-31 2023-12-05 Qualcomm Incorporated Measurements on a first band applicable to procedures on a second band
US20230115368A1 (en) * 2020-04-23 2023-04-13 Telefonaktiebolaget Lm Ericsson (Publ) Improving Random Access Based on Artificial Intelligence / Machine Learning (AI/ML)
CN116250195A (zh) * 2020-09-29 2023-06-09 华为技术有限公司 干扰上报的方法与装置
WO2023148699A1 (en) * 2022-02-04 2023-08-10 Lenovo (Singapore) Pte. Ltd. Ai-enabled beam failure detection and recovery
CN118696583A (zh) * 2022-02-18 2024-09-24 高通股份有限公司 用于跨频率范围预测性波束故障检测的技术
US12418812B2 (en) * 2022-03-04 2025-09-16 Qualcomm Incorporated Enhanced signaling for beam failure detection reference signal with UE predicted beam failure
WO2023184344A1 (en) * 2022-03-31 2023-10-05 Qualcomm Incorporated Metrics and report quantities for cross frequency range predictive beam management
WO2023193171A1 (en) * 2022-04-07 2023-10-12 Qualcomm Incorporated Cross-frequency channel state information
WO2023208425A1 (en) * 2022-04-28 2023-11-02 Nokia Technologies Oy Enhanced reference signal prediction in telecommunication systems
US12231183B2 (en) * 2022-04-29 2025-02-18 Qualcomm Incorporated Machine learning for beam predictions with confidence indications
CN117479209A (zh) * 2022-07-21 2024-01-30 华为技术有限公司 通信方法及装置
WO2025074524A1 (ja) * 2023-10-03 2025-04-10 株式会社Ｎｔｔドコモ 端末、無線通信方法及び基地局
WO2025074525A1 (ja) * 2023-10-03 2025-04-10 株式会社Ｎｔｔドコモ 端末、無線通信方法及び基地局
WO2025211279A1 (ja) * 2024-04-04 2025-10-09 京セラ株式会社 通信方法、ユーザ装置、及びネットワークノード
WO2025227296A1 (en) * 2024-04-28 2025-11-06 Shenzhen Tcl New Technology Co., Ltd Wireless communication methods of ai/ml based beam management, ue, and base station

Citations (1)

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WO2019177272A1 (ko) * 2018-03-12 2019-09-19 한국전자통신연구원 통신 시스템에서 빔 실패 복구를 위한 방법 및 장치

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KR102675969B1 (ko) 2016-11-04 2024-06-17 삼성전자주식회사 멀티-빔 시스템 빔 매니지먼트
US10680700B2 (en) * 2017-07-24 2020-06-09 Qualcomm Incorporated Parameter adjustment for radio link failure (RLF) procedure enhanced by aperiodic beam failure recovery (BFR) triggers
US10892811B2 (en) 2017-09-11 2021-01-12 Qualcomm Incorporated Beam recovery procedure using a second component carrier
US10784944B2 (en) * 2018-01-09 2020-09-22 Ofinno, Llc Timing advance in beam failure recovery request transmission
CA3043992A1 (en) * 2018-05-21 2019-11-21 Comcast Cable Communications, Llc Failure detection and recovery for multiple active resources
WO2020031351A1 (ja) * 2018-08-09 2020-02-13 株式会社Ｎｔｔドコモ ユーザ端末及び無線通信方法
EP3836741B1 (en) * 2018-08-09 2024-11-27 NTT DoCoMo, Inc. User equipment and radio communication method
EP3991471B1 (en) * 2019-06-28 2024-03-06 InterDigital Patent Holdings, Inc. Apparatus, system, method and computer-readable medium for performing beam failure recovery
SG10201907430SA (en) * 2019-08-13 2021-03-30 Panasonic Ip Corp America Group-based scell beam failure recovery

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Publication number Publication date
JP7761568B2 (ja) 2025-10-28
EP4097901A1 (en) 2022-12-07
CN115023918A (zh) 2022-09-06
WO2021154847A1 (en) 2021-08-05
JP2023512992A (ja) 2023-03-30
US11606243B2 (en) 2023-03-14
US20210243073A1 (en) 2021-08-05
KR20220132539A (ko) 2022-09-30
BR112022014413A2 (pt) 2022-09-13

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