| 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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| 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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