An Near-Optimal Precoder for Massive-MIMO Systems
碩士 === 淡江大學 === 電機工程學系碩士班 === 104 === Conventional linear precoding schemes in massive multiple-input-multiple-output (MIMO) systems, such as Zero-forcing (ZF) precoding, have near-optimal performance but suffer from cubically-increased computational complexity due to the direct matrix inversion of...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/jundm3 |
| Summary: | 碩士 === 淡江大學 === 電機工程學系碩士班 === 104 === Conventional linear precoding schemes in massive multiple-input-multiple-output (MIMO) systems, such as Zero-forcing (ZF) precoding, have near-optimal performance but suffer from cubically-increased computational complexity due to the direct matrix inversion of large size. To solve this problem, we propose a modifying Neumann series and Jacobi iterative based precoding scheme to approximate the matrix inversion. The proposed precoding can approach the classical ZF precoding with negligible performance loss. According to simulation results, we conducted curve fitting to find a closed form which can provide the best iteration number for each case then we calculated the minimum root-mean-square error. Finally we also proposed a closed form for the best iteration number.
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