Blind Channel Estimation for Massive MIMO
| Project/Area Number |
15K13987
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Communication/Network engineering
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| Research Institution | Toyohashi University of Technology |
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Principal Investigator |
Takeuchi Keigo 豊橋技術科学大学, 工学(系)研究科(研究院), 准教授 (30549697)
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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 |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2017: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 情報通信工学 / 情報理論 / 大規模MIMO / 通信路推定 / 圧縮センシング |
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| Outline of Final Research Achievements |
Massive multiple-input multiple-output (MIMO) is a system to realize high-speed data transmission by using more antennas at the base station (BS) than the number of users. As a main factor to degrade the performance of massive MIMO, pilot contamination was pointed out in uplink channel estimation. To solve this issue, we have constructed an iterative method of blind channel estimation based on approximate message passing proposed in the field of compressed sensing. Use of an appropriate initialization can improve the convergence property of the proposed method even in highly loaded systems.
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Report
(4 results)
Research Products
(15 results)
