| 標題：An Improved Matrix Inversion Approximation Method for Massive MIMO Systems with Transmit Antenna Correlation |
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| 學年 | 105 |
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| 學期 | 2 |
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| 發表日期 | 2017/07/03 |
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| 作品名稱 | An Improved Matrix Inversion Approximation Method for Massive MIMO Systems with Transmit Antenna Correlation |
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| 作品名稱（其他語言） | |
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| 著者 | Kelvin Kuang-Chi Lee; Chiao-En Chen |
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| 作品所屬單位 | |
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| 出版者 | |
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| 會議名稱 | IEEE International Workshop on Signal Processing advances in Wireless Communications |
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| 會議地點 | Sapporo, Japan |
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| 摘要 | Zero-forcing (ZF) precoding is known to achieve near-optimal performance at high signal-to-noise-ratio (SNR) in a massive MIMO system. While ZF precoding can be implemented by exact matrix inversion, this scheme is often prohibited due to stability and complexity issues. Hence a few matrix inverse approximation (MIA) methods were introduced to address these concerns. An eigen-based algorithm was recently proposed to enhance MIA accuracy for uncorrelated Rayleigh fading channel by estimating asymptotic eigenvalues of a Wishart matrix following the random matrix theory. In this paper, the eigen-based MIA concept is extended to the one-sided Kronecker model, (i.e., Rayleigh fading channel with transmit antenna correlation). Asymptotic eigenvalue probability density function of the non-commutative Kronecker channel is constructed from free probability theory and applied in eigen-based MIA. Simulation shows that MIA is degraded by transmit antenna correlation. However, compared to other Neumann expansion based methods, the proposed eigen-based MIA precoding scheme is still less susceptible to transmit antenna correlation especially for low to mid correlation values. |
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| 關鍵字 | Massive MIMO;antenna correlation;random matrix;free probability;Stieltjes inversion;S-transform |
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| 語言 | 英文 |
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| 收錄於 | |
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| 會議性質 | 國際 |
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| 校內研討會地點 | 無 |
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| 研討會時間 | 20170703~20170706 |
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| 通訊作者 | Chiao-En Chen |
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| 國別 | 日本 |
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| 公開徵稿 | |
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| 出版型式 | |
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| 出處 | IEEE 2017 SPAWC ( International Workshop on Signal Processing advances in Wireless Communications) |
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| 相關連結 | |
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