An Improved Matrix Inversion Approximation Method for Massive MIMO Systems with Transmit Antenna Correlation
學年 105
學期 2
發表日期 2017-07-03
作品名稱 An Improved Matrix Inversion Approximation Method for Massive MIMO Systems with Transmit Antenna Correlation
作品名稱（其他語言）
著者 Kelvin Kuang-Chi Lee; Chiao-En Chen
作品所屬單位
出版者
會議名稱 IEEE International Workshop on Signal Processing advances in Wireless Communications
會議地點 Sapporo, Japan
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.
關鍵字 Massive MIMO;antenna correlation;random matrix;free probability;Stieltjes inversion;S-transform
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20170703~20170706
通訊作者 Chiao-En Chen
國別 JPN
公開徵稿
出版型式
出處 IEEE 2017 SPAWC ( International Workshop on Signal Processing advances in Wireless Communications)
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/110489 )

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