KR20230047096A - 사용자 장비의 포지셔닝을 위한 신경망 함수 - Google Patents
사용자 장비의 포지셔닝을 위한 신경망 함수 Download PDFInfo
- Publication number
- KR20230047096A KR20230047096A KR1020237003499A KR20237003499A KR20230047096A KR 20230047096 A KR20230047096 A KR 20230047096A KR 1020237003499 A KR1020237003499 A KR 1020237003499A KR 20237003499 A KR20237003499 A KR 20237003499A KR 20230047096 A KR20230047096 A KR 20230047096A
- Authority
- KR
- South Korea
- Prior art keywords
- neural network
- network function
- positioning
- base station
- positioning measurement
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
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Classifications
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- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/0009—Transmission of position information to remote stations
- G01S5/0018—Transmission from mobile station to base station
- G01S5/0027—Transmission from mobile station to base station of actual mobile position, i.e. position determined on mobile
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0205—Details
- G01S5/0236—Assistance data, e.g. base station almanac
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
- G01S5/0278—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves involving statistical or probabilistic considerations
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/04—Generating or distributing clock signals or signals derived directly therefrom
- G06F1/12—Synchronisation of different clock signals provided by a plurality of clock generators
-
- 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
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
- G06F18/24133—Distances to prototypes
-
- 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
- G06N3/0499—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
- G06N3/09—Supervised learning
-
- 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
- H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
- H04W88/02—Terminal devices
- H04W88/06—Terminal devices adapted for operation in multiple networks or having at least two operational modes, e.g. multi-mode terminals
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Computational Linguistics (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Health & Medical Sciences (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Probability & Statistics with Applications (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
- Mobile Radio Communication Systems (AREA)
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202063060998P | 2020-08-04 | 2020-08-04 | |
| US63/060,998 | 2020-08-04 | ||
| US17/391,347 US20220044091A1 (en) | 2020-08-04 | 2021-08-02 | Neural network functions for positioning of a user equipment |
| US17/391,347 | 2021-08-02 | ||
| PCT/US2021/044289 WO2022031661A1 (en) | 2020-08-04 | 2021-08-03 | Neural network functions for positioning of a user equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20230047096A true KR20230047096A (ko) | 2023-04-06 |
Family
ID=80113864
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020237003499A Pending KR20230047096A (ko) | 2020-08-04 | 2021-08-03 | 사용자 장비의 포지셔닝을 위한 신경망 함수 |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US20220044091A1 (https=) |
| EP (1) | EP4193163B1 (https=) |
| JP (1) | JP7797475B2 (https=) |
| KR (1) | KR20230047096A (https=) |
| CN (1) | CN116057401A (https=) |
| BR (1) | BR112023001173A2 (https=) |
| WO (1) | WO2022031661A1 (https=) |
Families Citing this family (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12058586B2 (en) | 2020-08-04 | 2024-08-06 | Qualcomm Incorporated | Selective triggering of neural network functions for positioning of a user equipment |
| KR20230146001A (ko) * | 2021-02-22 | 2023-10-18 | 엘지전자 주식회사 | 뉴럴 네트워크 기반 하향링크 제어 채널 송수신 방법 |
| EP4309383A1 (en) * | 2021-03-15 | 2024-01-24 | Sony Group Corporation | Method for generating location information in a wireless network |
| US11832314B2 (en) * | 2021-12-14 | 2023-11-28 | Korea University Research And Business Foundation | Deep reinforcement learning-based random access method for low earth orbit satellite network and terminal for the operation |
| EP4487534A4 (en) * | 2022-03-04 | 2026-02-25 | Hawkeye 360 Inc | GE-ASSISTED SINGLE SIGNAL RECOGNITION |
| JP7732108B2 (ja) * | 2022-04-28 | 2025-09-01 | 楽天モバイル株式会社 | デバイス間協調による測位精度のためのシステム、方法、デバイス、およびプログラム |
| EP4515278A2 (en) * | 2022-04-29 | 2025-03-05 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Enhanced positioning framework including support to ai/ml |
| US20260019982A1 (en) * | 2022-07-19 | 2026-01-15 | Interdigital Patent Holdings, Inc. | Positioning with estimated measurements |
| US20240179663A1 (en) * | 2022-11-25 | 2024-05-30 | Qualcomm Incorporated | Radio frequency fingerprint positioning of transmission-reception point |
| CN118138088A (zh) * | 2022-12-01 | 2024-06-04 | 华为技术有限公司 | 获取训练数据的方法和通信装置 |
| WO2024141153A1 (en) * | 2022-12-27 | 2024-07-04 | Telefonaktiebolaget Lm Ericsson (Publ) | User equipment positioning |
| EP4414735A1 (en) * | 2023-02-09 | 2024-08-14 | Nokia Technologies Oy | Robust sample aggregation for ml positioning |
| EP4690565A1 (en) * | 2023-04-07 | 2026-02-11 | Telefonaktiebolaget LM Ericsson (publ) | Delay profile based model input for ai/ml |
| WO2024229708A1 (en) * | 2023-05-09 | 2024-11-14 | Nokia Shanghai Bell Co., Ltd. | Mechanism for model monitoring |
| US20250119834A1 (en) * | 2023-10-09 | 2025-04-10 | Qualcomm Incorporated | Opportunistic position location determination and reporting for asset tracking and monitoring |
| WO2025086229A1 (zh) * | 2023-10-26 | 2025-05-01 | 北京小米移动软件有限公司 | 定位方法、装置及存储介质 |
| CN119343976A (zh) * | 2024-09-09 | 2025-01-21 | 上海移远通信技术股份有限公司 | 用于无线通信的节点中的方法和装置 |
Family Cites Families (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3165391B2 (ja) * | 1996-03-22 | 2001-05-14 | 松下電器産業株式会社 | 移動体無線通信システムとその移動局の位置検出方法 |
| US8700054B2 (en) | 2011-06-10 | 2014-04-15 | Google Inc. | Prediction of indoor level and location using a three stage process |
| US8532676B1 (en) * | 2012-05-22 | 2013-09-10 | Polaris Wireless, Inc. | Estimating whether a wireless terminal is indoors versus outdoors using probabilities and classifications |
| JP6624780B2 (ja) | 2014-12-10 | 2019-12-25 | PicoCELA株式会社 | 測位方法、サーバ及びプログラム |
| JP6603253B2 (ja) | 2017-03-02 | 2019-11-06 | 本田技研工業株式会社 | 移動体制御システム、および移動体制御方法 |
| JP6486982B2 (ja) | 2017-03-06 | 2019-03-20 | ソフトバンク株式会社 | モデル生成装置、位置推定装置及びプログラム |
| US20180279250A1 (en) * | 2017-03-27 | 2018-09-27 | Qualcomm Incorporated | Method and/or system for positioning from a reference signal |
| CN110022523B (zh) | 2018-01-05 | 2022-04-12 | 华为技术有限公司 | 用于终端设备定位的方法、装置及系统 |
| WO2019240771A1 (en) * | 2018-06-12 | 2019-12-19 | Nokia Technologies Oy | User device positioning |
| US11646921B2 (en) * | 2018-08-09 | 2023-05-09 | Qualcomm Incorporated | Using physical channels for positioning measurement signals |
| US10379215B1 (en) | 2018-09-01 | 2019-08-13 | Nxp B.V. | Localization of wireless nodes |
| US10498467B1 (en) | 2019-01-24 | 2019-12-03 | Cognitive Systems Corp. | Classifying static leaf nodes in a motion detection system |
| US11537896B2 (en) | 2019-03-15 | 2022-12-27 | Intel Corporation | Machine learning techniques for precise position determination |
| US10980030B2 (en) * | 2019-03-29 | 2021-04-13 | Huawei Technologies Co., Ltd. | Method and apparatus for wireless communication using polarization-based signal space mapping |
| US10671921B1 (en) * | 2019-05-01 | 2020-06-02 | Mapsted Corp. | Crowd-sourced training of a neural network for RSS fingerprinting |
-
2021
- 2021-08-02 US US17/391,347 patent/US20220044091A1/en active Pending
- 2021-08-03 EP EP21758957.1A patent/EP4193163B1/en active Active
- 2021-08-03 WO PCT/US2021/044289 patent/WO2022031661A1/en not_active Ceased
- 2021-08-03 BR BR112023001173A patent/BR112023001173A2/pt unknown
- 2021-08-03 CN CN202180058492.8A patent/CN116057401A/zh active Pending
- 2021-08-03 KR KR1020237003499A patent/KR20230047096A/ko active Pending
- 2021-08-03 JP JP2023504863A patent/JP7797475B2/ja active Active
Also Published As
| Publication number | Publication date |
|---|---|
| EP4193163A1 (en) | 2023-06-14 |
| EP4193163B1 (en) | 2026-04-08 |
| WO2022031661A1 (en) | 2022-02-10 |
| JP2023536439A (ja) | 2023-08-25 |
| BR112023001173A2 (pt) | 2023-02-14 |
| JP7797475B2 (ja) | 2026-01-13 |
| US20220044091A1 (en) | 2022-02-10 |
| CN116057401A (zh) | 2023-05-02 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PA0105 | International application |
Patent event date: 20230130 Patent event code: PA01051R01D Comment text: International Patent Application |
|
| PG1501 | Laying open of application | ||
| A201 | Request for examination | ||
| PA0201 | Request for examination |
Patent event code: PA02012R01D Patent event date: 20240718 Comment text: Request for Examination of Application |