BR112023001369A2 - Funções de rede neural para processamento de dados de medição de posicionamento em um equipamento de usuário - Google Patents
Funções de rede neural para processamento de dados de medição de posicionamento em um equipamento de usuárioInfo
- Publication number
- BR112023001369A2 BR112023001369A2 BR112023001369A BR112023001369A BR112023001369A2 BR 112023001369 A2 BR112023001369 A2 BR 112023001369A2 BR 112023001369 A BR112023001369 A BR 112023001369A BR 112023001369 A BR112023001369 A BR 112023001369A BR 112023001369 A2 BR112023001369 A2 BR 112023001369A2
- Authority
- BR
- Brazil
- Prior art keywords
- positioning measurement
- neural network
- measurement data
- user equipment
- network functions
- Prior art date
Links
Classifications
-
- 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
- G01S5/0036—Transmission from mobile station to base station of measured values, i.e. measurement on mobile and position calculation on base station
-
- 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
- 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
- G06N3/0495—Quantised networks; Sparse networks; Compressed 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
- 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
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/20—Ensemble learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L25/00—Baseband systems
- H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
- H04L25/0202—Channel estimation
- H04L25/0224—Channel estimation using sounding signals
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/0006—Assessment of spectral gaps suitable for allocating digitally modulated signals, e.g. for carrier allocation in cognitive radio
-
- 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
- H04L5/0003—Two-dimensional division
- H04L5/0005—Time-frequency
- H04L5/0007—Time-frequency the frequencies being orthogonal, e.g. OFDM(A) or DMT
- H04L5/001—Time-frequency the frequencies being orthogonal, e.g. OFDM(A) or DMT the frequencies being arranged in component carriers
-
- 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
- H04L5/005—Allocation of pilot signals, i.e. of signals known to the receiver of common pilots, i.e. pilots destined for multiple users or terminals
-
- 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
- H04L5/0053—Allocation of signalling, i.e. of overhead other than pilot signals
- H04L5/0057—Physical resource allocation for CQI
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Signal Processing (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Mathematical Physics (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Computer Networks & Wireless Communication (AREA)
- Probability & Statistics with Applications (AREA)
- Mobile Radio Communication Systems (AREA)
- Navigation (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202063061044P | 2020-08-04 | 2020-08-04 | |
| US17/391,373 US11889458B2 (en) | 2020-08-04 | 2021-08-02 | Neural network functions for positioning measurement data processing at a user equipment |
| PCT/US2021/044284 WO2022031659A1 (en) | 2020-08-04 | 2021-08-03 | Neural network functions for positioning measurement data processing at a user equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| BR112023001369A2 true BR112023001369A2 (pt) | 2023-02-14 |
Family
ID=80114478
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| BR112023001369A BR112023001369A2 (pt) | 2020-08-04 | 2021-08-03 | Funções de rede neural para processamento de dados de medição de posicionamento em um equipamento de usuário |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US11889458B2 (https=) |
| EP (1) | EP4193164A1 (https=) |
| JP (1) | JP7765452B2 (https=) |
| KR (1) | KR20230047099A (https=) |
| CN (1) | CN116134329A (https=) |
| BR (1) | BR112023001369A2 (https=) |
| WO (1) | WO2022031659A1 (https=) |
Families Citing this family (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102110538B1 (ko) * | 2018-02-28 | 2020-05-13 | 엘지전자 주식회사 | 신호 처리 장치 및 이를 구비하는 영상표시장치 |
| GB201913574D0 (en) * | 2019-09-20 | 2019-11-06 | Nokia Technologies Oy | Position determination |
| US12058586B2 (en) | 2020-08-04 | 2024-08-06 | Qualcomm Incorporated | Selective triggering of neural network functions for positioning of a user equipment |
| CN116234000A (zh) * | 2021-11-30 | 2023-06-06 | 维沃移动通信有限公司 | 定位方法及通信设备 |
| CN114745314B (zh) * | 2022-03-21 | 2023-07-11 | 南京邮电大学 | 基于优化随机森林的车载容迟网数据报文转发方法 |
| US20250220620A1 (en) * | 2022-03-28 | 2025-07-03 | Nec Corporation | Methods, devices, and computer readable medium for communication |
| EP4559253A1 (en) * | 2022-07-20 | 2025-05-28 | Nokia Technologies Oy | Bandwidth and/or scenario based feature selection |
| US20240037441A1 (en) * | 2022-08-01 | 2024-02-01 | Qualcomm Incorporated | Node selection for radio frequency fingerprint (rffp) federated learning |
| WO2024065697A1 (zh) * | 2022-09-30 | 2024-04-04 | Oppo广东移动通信有限公司 | 模型监测的方法、终端设备和网络设备 |
| EP4612951A4 (en) * | 2022-11-02 | 2026-02-25 | Rakuten Mobile Inc | METHOD AND APPARATUS FOR MODEL MONITORING AI/ML |
| EP4414738A1 (en) * | 2023-02-09 | 2024-08-14 | Nokia Solutions and Networks Oy | Aiml positioning receiver for flexible carrier aggregation |
| CN118473617A (zh) * | 2023-02-09 | 2024-08-09 | 诺基亚通信公司 | 用于灵活载波聚合的aiml定位接收器 |
| AU2024218072A1 (en) * | 2023-02-09 | 2025-07-17 | Lenovo (Singapore) Pte. Ltd. | Machine learning for positioning |
| EP4414735A1 (en) * | 2023-02-09 | 2024-08-14 | Nokia Technologies Oy | Robust sample aggregation for ml positioning |
| GB2627262A (en) * | 2023-02-17 | 2024-08-21 | Nokia Technologies Oy | Devices, methods and apparatuses for transforming sampled signal |
| US20240297760A1 (en) * | 2023-03-03 | 2024-09-05 | Qualcomm Incorporated | Positioning processes for reduced capability devices |
| US20240406679A1 (en) * | 2023-06-05 | 2024-12-05 | Qualcomm Incorporated | Machine learning-based positioning with multiple positioning frequency layers |
| US20250251481A1 (en) * | 2024-02-01 | 2025-08-07 | Qualcomm Incorporated | Configuration for positioning model input measurements |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9219668B2 (en) | 2012-10-19 | 2015-12-22 | Facebook, Inc. | Predicting the future state of a mobile device user |
| US9755797B2 (en) * | 2013-12-26 | 2017-09-05 | Mediatek Singapore Pte. Ltd. | Localization-based beamforming scheme for systems with multiple antennas |
| US10440503B2 (en) | 2014-07-16 | 2019-10-08 | TUPL, Inc. | Machine learning-based geolocation and hotspot area identification |
| EP3171194B1 (en) | 2015-11-19 | 2021-01-13 | u-blox AG | Calculating a ranging measurement in a cellular communications network |
| US9998856B2 (en) * | 2016-05-13 | 2018-06-12 | Qualcomm Incorporated | Method and/or system for positioning of a mobile device |
| US9989633B1 (en) | 2017-03-15 | 2018-06-05 | Cypress Semiconductor Corporation | Estimating angle measurements for source tracking using a phased array system |
| WO2019191318A1 (en) | 2018-03-27 | 2019-10-03 | Polte Corporation | Network architecture and methods for location services |
| WO2019240771A1 (en) | 2018-06-12 | 2019-12-19 | Nokia Technologies Oy | User device positioning |
| US20220051139A1 (en) | 2018-12-28 | 2022-02-17 | Telefonaktiebolaget Lm Ericsson (Publ) | Wireless device, a network node and methods therein for training of a machine learning model |
| US11812338B2 (en) | 2020-08-04 | 2023-11-07 | Qualcomm Incorporated | Selective triggering of neural network functions for positioning measurement feature processing at a user equipment |
-
2021
- 2021-08-02 US US17/391,373 patent/US11889458B2/en active Active
- 2021-08-03 KR KR1020237003513A patent/KR20230047099A/ko active Pending
- 2021-08-03 BR BR112023001369A patent/BR112023001369A2/pt unknown
- 2021-08-03 CN CN202180058658.6A patent/CN116134329A/zh active Pending
- 2021-08-03 WO PCT/US2021/044284 patent/WO2022031659A1/en not_active Ceased
- 2021-08-03 EP EP21759475.3A patent/EP4193164A1/en active Pending
- 2021-08-03 JP JP2023502997A patent/JP7765452B2/ja active Active
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022031659A1 (en) | 2022-02-10 |
| KR20230047099A (ko) | 2023-04-06 |
| EP4193164A1 (en) | 2023-06-14 |
| US11889458B2 (en) | 2024-01-30 |
| CN116134329A (zh) | 2023-05-16 |
| JP7765452B2 (ja) | 2025-11-06 |
| JP2023537575A (ja) | 2023-09-04 |
| US20220046577A1 (en) | 2022-02-10 |
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