PH12022550296A1 - Neural-network-based link-level performance prediction - Google Patents
Neural-network-based link-level performance predictionInfo
- Publication number
- PH12022550296A1 PH12022550296A1 PH1/2022/550296A PH12022550296A PH12022550296A1 PH 12022550296 A1 PH12022550296 A1 PH 12022550296A1 PH 12022550296 A PH12022550296 A PH 12022550296A PH 12022550296 A1 PH12022550296 A1 PH 12022550296A1
- Authority
- PH
- Philippines
- Prior art keywords
- link
- channel
- performance metrics
- neural
- network
- Prior art date
Links
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0036—Systems modifying transmission characteristics according to link quality, e.g. power backoff arrangements specific to the receiver
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/06—Testing, supervising or monitoring using simulated traffic
-
- 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
- G06N3/04—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
- G06N3/09—Supervised learning
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0015—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy
- H04L1/0017—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the adaptation strategy where the mode-switching is based on Quality of Service requirement
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
- H04L1/0026—Transmission of channel quality indication
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
- H04L1/0056—Systems characterized by the type of code used
- H04L1/0061—Error detection codes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/08—Arrangements for detecting or preventing errors in the information received by repeating transmission, e.g. Verdan system
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
- H04L1/203—Details of error rate determination, e.g. BER, FER or WER
-
- 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
-
- 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
-
- 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
- H04L41/14—Network analysis or design
- H04L41/147—Network analysis or design for predicting network behaviour
-
- 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
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0823—Errors, e.g. transmission errors
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0888—Throughput
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/50—Allocation or scheduling criteria for wireless resources
- H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
- H04W72/542—Allocation or scheduling criteria for wireless resources based on quality criteria using measured or perceived quality
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
- H04L1/0002—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate
- H04L1/0003—Systems modifying transmission characteristics according to link quality, e.g. power backoff by adapting the transmission rate by switching between different modulation schemes
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Power Engineering (AREA)
- Environmental & Geological Engineering (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Mobile Radio Communication Systems (AREA)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/565,364 US11153179B2 (en) | 2019-09-09 | 2019-09-09 | Neural-network-based link-level performance prediction |
| PCT/US2020/049585 WO2021050396A1 (en) | 2019-09-09 | 2020-09-05 | Neural-network-based link-level performance prediction |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| PH12022550296A1 true PH12022550296A1 (en) | 2023-04-24 |
Family
ID=72562009
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PH1/2022/550296A PH12022550296A1 (en) | 2019-09-09 | 2020-09-05 | Neural-network-based link-level performance prediction |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US11153179B2 (https=) |
| EP (1) | EP4029174A1 (https=) |
| JP (1) | JP7611235B2 (https=) |
| CN (2) | CN114365532B (https=) |
| BR (1) | BR112022003538A2 (https=) |
| PH (1) | PH12022550296A1 (https=) |
| WO (1) | WO2021050396A1 (https=) |
Families Citing this family (31)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3857765A1 (en) * | 2018-09-27 | 2021-08-04 | Telefonaktiebolaget LM Ericsson (publ) | Adapting harq procedures for non-terrestrial networks |
| US12206501B2 (en) | 2018-11-01 | 2025-01-21 | Telefonaktiebolaget Lm Ericsson (Publ) | LCH mapping to HARQ process ID for non-terrestrial networks |
| WO2021029891A1 (en) | 2019-08-14 | 2021-02-18 | Google Llc | Communicating a neural network formation configuration |
| CN114175051B (zh) | 2019-08-14 | 2025-04-04 | 谷歌有限责任公司 | 关于深度神经网络的基站-用户设备消息传递 |
| US11397893B2 (en) | 2019-09-04 | 2022-07-26 | Google Llc | Neural network formation configuration feedback for wireless communications |
| US11133887B2 (en) | 2019-10-11 | 2021-09-28 | Itron Global Sarl | Reliable link quality estimation in multi-rate networks |
| US11258534B2 (en) | 2019-10-11 | 2022-02-22 | Itron Global Sarl | Reliable link quality estimation in multi-rate networks |
| US11886991B2 (en) | 2019-11-27 | 2024-01-30 | Google Llc | Machine-learning architectures for broadcast and multicast communications |
| US11689940B2 (en) * | 2019-12-13 | 2023-06-27 | Google Llc | Machine-learning architectures for simultaneous connection to multiple carriers |
| US11737106B2 (en) | 2020-02-24 | 2023-08-22 | Qualcomm Incorporated | Distortion probing reference signals |
| TWI741619B (zh) * | 2020-05-26 | 2021-10-01 | 國立中山大學 | 多輸入輸出系統之參數估測方法 |
| TWI739481B (zh) * | 2020-06-18 | 2021-09-11 | 國立陽明交通大學 | 虛擬使用者裝置訊號合成系統及其方法 |
| US11663472B2 (en) | 2020-06-29 | 2023-05-30 | Google Llc | Deep neural network processing for a user equipment-coordination set |
| CN116137911A (zh) | 2020-07-31 | 2023-05-19 | 谷歌有限责任公司 | 蜂窝网络中基于神经网络的传输反馈 |
| WO2022067817A1 (zh) * | 2020-09-30 | 2022-04-07 | 华为技术有限公司 | 一种调制与编码策略mcs的选择方法及通信装置 |
| US12045721B2 (en) * | 2020-10-08 | 2024-07-23 | Lg Electronics Inc. | Method and device for transmitting OFDM signal, and method and device for receiving OFDM signal |
| CN114679355A (zh) * | 2020-12-24 | 2022-06-28 | 华为技术有限公司 | 通信方法和装置 |
| WO2022187191A2 (en) | 2021-03-01 | 2022-09-09 | Google Llc | Device using neural network for combining cellular communication with sensor data |
| CN115348597B (zh) * | 2021-05-12 | 2026-02-10 | 维沃移动通信有限公司 | 信息处理方法、装置、终端及网络侧设备 |
| US12101206B2 (en) * | 2021-07-26 | 2024-09-24 | Qualcomm Incorporated | Signaling for additional training of neural networks for multiple channel conditions |
| CN116074210B (zh) * | 2021-11-01 | 2026-03-10 | 维沃移动通信有限公司 | 信道预测方法、装置、网络侧设备及终端 |
| CN116436500A (zh) * | 2021-12-31 | 2023-07-14 | 展讯通信(上海)有限公司 | 信道数据处理或反处理方法与装置、终端和网络设备 |
| CN116488689A (zh) * | 2022-01-17 | 2023-07-25 | 维沃移动通信有限公司 | 波束信息交互方法、装置、设备及存储介质 |
| US20250105929A1 (en) * | 2022-03-08 | 2025-03-27 | Qualcomm Incorporated | Machine learning models for predictive resource management |
| WO2023236098A1 (en) * | 2022-06-08 | 2023-12-14 | Apple Inc. | Method and procedure for ai based csi feedback with csi prediction |
| US12170608B2 (en) * | 2022-06-21 | 2024-12-17 | Juniper Networks, Inc. | Link behavior prediction for use in path selection |
| KR20240048197A (ko) * | 2022-10-06 | 2024-04-15 | 에스케이하이닉스 주식회사 | 데이터 유닛의 디코딩 여부를 결정하는 디코딩 장치 및 그 동작 방법 |
| KR20250093494A (ko) * | 2022-10-25 | 2025-06-24 | 엘지전자 주식회사 | 무선 통신 시스템에서 시맨틱 통신을 위한 부호화 및 복호화를 수행하기 위한 장치 및 방법 |
| KR20240096403A (ko) * | 2022-12-16 | 2024-06-26 | 한국전자통신연구원 | 채널상태정보 전송 방법 및 장치 |
| US20250062843A1 (en) * | 2023-08-18 | 2025-02-20 | Nvidia Corporation | Neural networks to predict quality of wireless signals |
| CN117640017A (zh) * | 2024-01-26 | 2024-03-01 | 荣耀终端有限公司 | 通信方法、系统及相关设备 |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2844407B1 (fr) | 2002-09-05 | 2004-12-03 | Thomson Licensing Sa | Procede de selection de canal de transmission et recepteur de signaux a diversite d'antenne |
| US8498639B2 (en) * | 2007-02-09 | 2013-07-30 | Qualcomm Incorporated | Flexible channel quality indicator reporting |
| US20130162481A1 (en) * | 2009-10-01 | 2013-06-27 | Parviz Parvizi | Systems and methods for calibration of indoor geolocation |
| US9184880B2 (en) | 2013-08-01 | 2015-11-10 | Sierra Wireless, Inc. | Method and device enabling a dynamic bundle size HARQ mechanism |
| EP3281302A1 (en) * | 2015-04-08 | 2018-02-14 | NTT Docomo, Inc. | Base station, user equipment, and method for determining precoding matrix |
| US9882617B2 (en) * | 2015-11-16 | 2018-01-30 | Telefonaktiebolaget Lm Ericsson (Publ) | Method and apparatus for reporting precoding information in a communication network |
| US10462801B2 (en) * | 2017-05-05 | 2019-10-29 | At&T Intellectual Property I, L.P. | Multi-antenna transmission protocols for high doppler conditions |
| JP6822989B2 (ja) * | 2018-02-13 | 2021-01-27 | 日本電信電話株式会社 | 電波環境推定方法及び電波環境推定装置 |
| CN110099017B (zh) * | 2019-05-22 | 2021-09-28 | 东南大学 | 基于深度神经网络的混合量化系统的信道估计方法 |
| US11159408B2 (en) * | 2019-06-25 | 2021-10-26 | Intel Corporation | Link performance prediction technologies |
| KR20190099380A (ko) * | 2019-08-07 | 2019-08-27 | 엘지전자 주식회사 | 사용자의 행동 패턴에 기반한 AI(Artificial Intelligence) 장치와 디바이스를 연계하는 방법 및 이를 위한 장치 |
-
2019
- 2019-09-09 US US16/565,364 patent/US11153179B2/en active Active
-
2020
- 2020-09-05 PH PH1/2022/550296A patent/PH12022550296A1/en unknown
- 2020-09-05 JP JP2022514765A patent/JP7611235B2/ja active Active
- 2020-09-05 EP EP20775531.5A patent/EP4029174A1/en active Pending
- 2020-09-05 WO PCT/US2020/049585 patent/WO2021050396A1/en not_active Ceased
- 2020-09-05 CN CN202080061447.3A patent/CN114365532B/zh active Active
- 2020-09-05 CN CN202410182747.7A patent/CN118075795A/zh active Pending
- 2020-09-05 BR BR112022003538A patent/BR112022003538A2/pt unknown
Also Published As
| Publication number | Publication date |
|---|---|
| BR112022003538A2 (pt) | 2022-05-24 |
| KR20220064367A (ko) | 2022-05-18 |
| US11153179B2 (en) | 2021-10-19 |
| JP2022547093A (ja) | 2022-11-10 |
| US20210075691A1 (en) | 2021-03-11 |
| WO2021050396A1 (en) | 2021-03-18 |
| EP4029174A1 (en) | 2022-07-20 |
| CN118075795A (zh) | 2024-05-24 |
| JP7611235B2 (ja) | 2025-01-09 |
| CN114365532B (zh) | 2024-02-02 |
| CN114365532A (zh) | 2022-04-15 |
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