| Project/Area Number |
23360170
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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 | Japan Advanced Institute of Science and Technology |
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Principal Investigator |
MATSUMOTO Tadashi 北陸先端科学技術大学院大学, 情報科学研究科, 教授 (40452114)
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| Co-Investigator(Kenkyū-buntansha) |
KHOIRUL Anwar 北陸先端科学技術大学院大学, 情報科学研究科, 助教 (20535372)
MURATA Hidekazu 京都大学, 大学院・情報学研究科, 准教授 (60252475)
ISAKA Motohiko 関西学院大学, 理工学部, 教授 (50351739)
IBI Shinsuke 大阪大学, 大学院・工学研究科, 助教 (10448087)
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| Project Period (FY) |
2011-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥19,890,000 (Direct Cost: ¥15,300,000、Indirect Cost: ¥4,590,000)
Fiscal Year 2013: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2012: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2011: ¥9,620,000 (Direct Cost: ¥7,400,000、Indirect Cost: ¥2,220,000)
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| Keywords | 相関情報源 / 低密度パリティ検査符号 / リンク間相関 / 時間相関 / EXIT 解析 / ターボ原理 / 協調通信 / ネットワーク符号 / 分散協調通信 / Slepian Wolf/Shannon 限界 / レート最大化問題 / 適応的スケジューリング / 順序付確率変数情報源 / ヘルパー付情報源符号化 / Slepian Wolf限界 / EXIT チャート / 中継ネットワーク / CEO問題 / チャネル情報 / 相関のある情報源 / EXIT解析 |
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| Research Abstract |
The objectives COATNET-2 has, as an extension of its successor project, COATNET, and three work packages in the project: (1) Wireless Cooperative Communications, including Relaying, (2) Protocol and Scheduling Techniques Design for Distributed Wireless Network, and (3) Design of Practical Transmission Chain and Signal Processing Techniques. The targets of each Work Packages follow the major results of the successor project, COATNET, and the major aim of COATNET-2 is to identify how we can best utilize the information sequence correlation caused by the network. We finally found that the cooperative network, as a whole, can be seen as a distributed source-channel code where regardless of each link's transmission is lossless or lossy. By applying the framework of the lossless/lossy distributed source-channel coding theorem, it has been shown that the proposed network design and processing techniques can achieve much higher efficiency than the conventional techniques.
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