JPWO2022138232A1 - - Google Patents
Info
- Publication number
- JPWO2022138232A1 JPWO2022138232A1 JP2022572140A JP2022572140A JPWO2022138232A1 JP WO2022138232 A1 JPWO2022138232 A1 JP WO2022138232A1 JP 2022572140 A JP2022572140 A JP 2022572140A JP 2022572140 A JP2022572140 A JP 2022572140A JP WO2022138232 A1 JPWO2022138232 A1 JP WO2022138232A1
- Authority
- JP
- Japan
- 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
Links
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
- G06N3/045—Combinations of networks
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- 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
- H04L25/024—Channel estimation channel estimation algorithms
- H04L25/0254—Channel estimation channel estimation algorithms using neural network algorithms
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
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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
- 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
- G06N3/098—Distributed learning, e.g. federated learning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
- H04W28/18—Negotiating wireless communication parameters
- H04W28/20—Negotiating bandwidth
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/12—Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Software Systems (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Power Engineering (AREA)
- Quality & Reliability (AREA)
- Mobile Radio Communication Systems (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020213902 | 2020-12-23 | ||
| JP2021047806 | 2021-03-22 | ||
| PCT/JP2021/045511 WO2022138232A1 (ja) | 2020-12-23 | 2021-12-10 | 通信装置、通信方法、および通信システム |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPWO2022138232A1 true JPWO2022138232A1 (https=) | 2022-06-30 |
| JPWO2022138232A5 JPWO2022138232A5 (https=) | 2023-09-12 |
Family
ID=82157833
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022572140A Pending JPWO2022138232A1 (https=) | 2020-12-23 | 2021-12-10 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20240015052A1 (https=) |
| JP (1) | JPWO2022138232A1 (https=) |
| WO (1) | WO2022138232A1 (https=) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2024024051A1 (ja) * | 2022-07-28 | 2024-02-01 | 日本電信電話株式会社 | 無線通信システム、通信経路制御装置、通信経路制御方法および通信経路制御用プログラム |
| EP4379549A1 (en) * | 2022-12-01 | 2024-06-05 | Ntt Docomo, Inc. | Method for providing a communication and computing service session |
| CN118555592B (zh) * | 2024-07-30 | 2024-10-11 | 合肥工业大学 | 面向soa车联网系统中通信质量瞬时波动的响应方法 |
| CN119233227B (zh) * | 2024-12-02 | 2025-03-18 | 南京信息职业技术学院 | 一种基于5g多接入边缘计算的车联网多参数监测方法及系统 |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019111411A1 (ja) * | 2017-12-08 | 2019-06-13 | 株式会社ウフル | 協調分散システム、協調分散管理装置、協調分散方法、及びプログラム |
| JP2019135578A (ja) * | 2018-02-05 | 2019-08-15 | 株式会社東芝 | クラウドシステム、クラウドサーバ、エッジサーバおよびユーザ装置 |
| JP2019144864A (ja) * | 2018-02-21 | 2019-08-29 | 日本電気株式会社 | エッジコンピューティングシステム、エッジサーバ、システム制御方法、及びプログラム |
| WO2020026741A1 (ja) * | 2018-08-03 | 2020-02-06 | ソニー株式会社 | 情報処理方法、情報処理装置及び情報処理プログラム |
| CN111522657A (zh) * | 2020-04-14 | 2020-08-11 | 北京航空航天大学 | 一种分散设备协同深度学习推理方法 |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10133329B2 (en) * | 2012-11-19 | 2018-11-20 | Qualcomm Incorporated | Sequential feature computation for power efficient classification |
| JP6459665B2 (ja) * | 2015-03-16 | 2019-01-30 | 富士通株式会社 | 通信装置、通信システム、通信方法、および、通信プログラム |
| CN106528280B (zh) * | 2015-09-15 | 2019-10-29 | 阿里巴巴集团控股有限公司 | 一种任务分配方法和系统 |
| WO2018126076A1 (en) * | 2016-12-30 | 2018-07-05 | Intel Corporation | Data packaging protocols for communications between iot devices |
| US11270201B2 (en) * | 2017-12-29 | 2022-03-08 | Intel Corporation | Communication optimizations for distributed machine learning |
| US20200175361A1 (en) * | 2018-11-30 | 2020-06-04 | Alibaba Group Holding Limited | Partitioning of deep learning inference with dynamic offloading |
| CN113227965B (zh) * | 2018-12-21 | 2024-04-02 | 日本电信电话株式会社 | 分布式处理辅助装置、分布式处理辅助方法以及存储介质 |
| WO2020166461A1 (ja) * | 2019-02-15 | 2020-08-20 | ソニー株式会社 | 情報処理装置、移動体装置、情報処理方法、及び情報処理プログラム |
-
2021
- 2021-12-10 WO PCT/JP2021/045511 patent/WO2022138232A1/ja not_active Ceased
- 2021-12-10 JP JP2022572140A patent/JPWO2022138232A1/ja active Pending
- 2021-12-10 US US18/257,881 patent/US20240015052A1/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019111411A1 (ja) * | 2017-12-08 | 2019-06-13 | 株式会社ウフル | 協調分散システム、協調分散管理装置、協調分散方法、及びプログラム |
| JP2019135578A (ja) * | 2018-02-05 | 2019-08-15 | 株式会社東芝 | クラウドシステム、クラウドサーバ、エッジサーバおよびユーザ装置 |
| JP2019144864A (ja) * | 2018-02-21 | 2019-08-29 | 日本電気株式会社 | エッジコンピューティングシステム、エッジサーバ、システム制御方法、及びプログラム |
| WO2020026741A1 (ja) * | 2018-08-03 | 2020-02-06 | ソニー株式会社 | 情報処理方法、情報処理装置及び情報処理プログラム |
| CN111522657A (zh) * | 2020-04-14 | 2020-08-11 | 北京航空航天大学 | 一种分散设备协同深度学习推理方法 |
Non-Patent Citations (2)
| Title |
|---|
| TEERAPITTAYANON, SURAT ET AL.: ""Distributed Deep Neural Networks over the Cloud, the Edge and End Devices"", 2017 IEEE 37TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS), JPN6021028894, 5 June 2017 (2017-06-05), US, pages 328 - 339, ISSN: 0005765144 * |
| 江田毅晴、榑林亮介、榎本昇平、史 旭、飯田浩二、羽室大介: "ＩＯＷＮ時代のＡＩサービスを支える高効率イベント駆動型推論", ＮＴＴ技術ジャーナル, vol. Vol.32, No.12(通巻381号), JPN6021037470, 1 December 2020 (2020-12-01), JP, pages 16 - 22, ISSN: 0005765145 * |
Also Published As
| Publication number | Publication date |
|---|---|
| US20240015052A1 (en) | 2024-01-11 |
| WO2022138232A1 (ja) | 2022-06-30 |
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