LatticeNET: Practical Lattice Codes for Cooperative Wireless Networks
| Project/Area Number |
26289119
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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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 |
Kurkoski Brian 北陸先端科学技術大学院大学, 先端科学技術研究科, 准教授 (80444123)
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| Co-Investigator(Kenkyū-buntansha) |
和田山 正 名古屋工業大学, 工学(系)研究科(研究院), 教授 (20275374)
松本 正 北陸先端科学技術大学院大学, 情報科学研究科, 教授 (40452114)
八木 秀樹 電気通信大学, 情報理工学(系)研究科, 准教授 (60409737)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥16,120,000 (Direct Cost: ¥12,400,000、Indirect Cost: ¥3,720,000)
Fiscal Year 2016: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2015: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2014: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
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| Keywords | 情報理論 / 符号理論 / 格子 / ネットワーク符号 / 無線通信 / 格子理論 |
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| Outline of Final Research Achievements |
We developed new practical, finite-length lattice coding schemes to improve spectral efficiency of wireless communication systems. We developed a new lattice encoding scheme that possesses three important properties: (1) satisfies the AWGN transit power constraint (high shaping gain) (2) has high error-correction capability (high coding gain) (3) efficient quantization and decoding algorithms (low computational complexity). We developed two new belief-propagation lattice decoding algorithms to improve the performance-complexity tradeoff. Lattice compute-and-forward techniques were applied to two Gaussian networks, showing that lattice coding can improve the spectral efficiency of wireless networks.
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Report
(4 results)
Research Products
(57 results)
