教師資料查詢 | 類別: 期刊論文 | 教師: 李光啟 KELVIN KUANG-CHI LEE (瀏覽個人網頁)

標題:An Eigen-based Approach for Enhancing Matrix Inversion Approximation in Massive MIMO Systems
學年105
學期2
出版(發表)日期2017/06/01
作品名稱An Eigen-based Approach for Enhancing Matrix Inversion Approximation in Massive MIMO Systems
作品名稱(其他語言)
著者Kelvin Kuang-Chi Lee; Chiao-En Chen
單位
出版者
著錄名稱、卷期、頁數IEEE Transactions on Vehicular Technology 66(6), p.5480-5484
摘要This correspondence presents a new matrix inversion approximation (MIA) method for massive multiple-inputmultiple- output (MIMO) systems. In contrast to the existing methods which are mostly derived from the Neumann series expansion framework, additional coefficients have been introduced in our proposed method to enhance the precision of approximation. We propose an efficient algorithm for the coefficient design which consists of an eigenvalue estimation procedure derived from random matrix theory, and a least-squares fitting procedure that solves a low-dimension over-determined system of linear equations. Complexity analysis and simulation results show that our eigen-based MIA method exhibits practically comparable computational complexity while achieving substantial performance enhancement compared to other benchmark methods.
關鍵字Marcenko-Pastur law;Neumann series;matrix inversion;massive MIMO;zero-forcing;random matrix
語言英文(美國)
ISSN1939-9359
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版
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