An Eigen-based Matrix Inverse Approximation Scheme with Stair Matrix Splitting for Massive MIMO Systems
學年 107
學期 1
發表日期 2018-11-27
作品名稱 An Eigen-based Matrix Inverse Approximation Scheme with Stair Matrix Splitting for Massive MIMO Systems
作品名稱（其他語言）
著者 Phil Chia-Yang Tsai; Kelvin Kuang-Chi Lee; Chiao-En Chen
作品所屬單位
出版者
會議名稱 2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
會議地點 沖繩縣石垣島，日本
摘要 Approximative matrix inversion (MIA) has been extensively researched with the aim of addressing the complexity issues encountered by Zero-forcing (ZF) precoder design in massive multiple-input multiple-output (MIMO) systems. The eigen-based MIA scheme with diagonal matrix splitting is presented recently where additional coefficients can be designed and optimized to improve MIA accuracy and bit-error-rate (BER) compared to the well-known Neumann series expansion (NS) or Newton iteration (NI) framework for Rayleigh flat fading channel, regardless the presence of transmit antenna correlation or not. In this paper, stair matrix splitting is proposed for the eigen-based MIA method for uncorrelated Rayleigh flat fading channel. Simulation result shows that, with additional information in the inverse of stair matrix, both the ZF precoder approximation precision and BER can be enhanced compared to the diagonal matrix splitting scenarios without sacrificing complexity.
關鍵字 Massive MIMO;NS expansion;eigen-based MIA;stair matrix splitting
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 20181127~20181130
通訊作者
國別 JPN
公開徵稿
出版型式
出處
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/117918 )

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