A Low-Complexity Data Detection Algorithm for Massive MIMO Systems

Achieving high spectral efficiency in realistic massive multiple-input multiple-output (M-MIMO) systems entail a significant increase in implementation complexity, especially with respect to data detection. Linear minimum mean-squared error (LMMSE) can achieve near-optimal performance but involves c...

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Bibliographic Details
Published in:	IEEE access Vol. 7; pp. 39341 - 39351
Main Authors:	Khoso, Imran A., Dai, Xiaoming, Irshad, M. Nauman, Khan, Ali, Wang, Xiyuan
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Acceleration Algorithms Antennas Chebyshev acceleration Chebyshev approximation Complexity Complexity theory Convergence Data detection Detectors Inversions Iterative methods linear minimum mean square error (LMMSE) low-complexity massive multiple-input multiple-output (MIMO) MIMO (control systems) MIMO communication Parameter sensitivity relaxation parameter Richardson iteration Robustness (mathematics)
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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