User Centric Wireless Communications by Traffic Prediction based on Preference Analysis and Integrated Environment Recognition
| Project/Area Number |
15H04010
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Communication/Network engineering
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| Research Institution | Keio University |
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Principal Investigator |
OTSUKI TOMOAKI 慶應義塾大学, 理工学部(矢上), 教授 (10277288)
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| Co-Investigator(Kenkyū-buntansha) |
藤井 威生 電気通信大学, 先端ワイヤレス・コミュニケーション研究センター, 教授 (10327710)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥16,510,000 (Direct Cost: ¥12,700,000、Indirect Cost: ¥3,810,000)
Fiscal Year 2017: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2016: ¥5,980,000 (Direct Cost: ¥4,600,000、Indirect Cost: ¥1,380,000)
Fiscal Year 2015: ¥6,760,000 (Direct Cost: ¥5,200,000、Indirect Cost: ¥1,560,000)
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| Keywords | ユーザ嗜好 / データベース / 物理層セキュリティ / QoE / リソース割当 / 嗜好解析 / 感情推定 / 情報通信工学 / 移動体通信 / 無線資源配分 / QoS / 学習アルゴリズム / パターンベース / 到来方向推定 / 資源割当 / トラヒック予測 / 統合環境認知 / 皮肉 / 感情 / Twitter / 環境認知 / 通信路状態情報 / 中継器 |
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| Outline of Final Research Achievements |
In this research we proposed a user centric wireless communication systems that can provide high QoE (Quality of Experience) and high-level of physical layer security for user. Our proposed method is based on analysis of user preference and behavior analysis, and database based traffic prediction for various granularities of space and time. We validated the effectiveness of our algorithm by theoretical analysis, computer simulation, and experiments based on radio wave propagation.
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Report
(4 results)
Research Products
(59 results)
