2022
DOI: 10.1049/cmu2.12331
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Abstract: Large-scale multiple-input multiple-output (LS-MIMO) is one of the promising technologies beyond the 5G cellular system in which large antenna arrays at the base station (BS) improve the system capacity and energy-efficiency. However, the large number of antennas at the BS makes it challenging to design low-complexity high-performance data detectors. Thus, a number of iterative detection methods, such as Gauss-Seidel and conjugate gradient, are introduced to achieve complexity-performance tradeoff. However, th… Show more

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Cited by 3 publications
(3 citation statements)
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References 37 publications
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“…Gauss-Seidel [29][30][31][32][33] Decomposes the MMSE filtering matrix into diagonal, upper, and lower triangular parts in order to obtain near-MMSE estimate of the transmitted signal. But, the internal sequential iterations within each GS iteration make it hard for parallel implementations.…”
Section: Brief Descriptionmentioning
confidence: 99%
“…In order to mitigate the complexity bottleneck of signal detection in massive MIMO systems, abundant works are devoted in recent years [24][25][26][27][28][29][30][31][32][33][34] to achieve MMSE performance with significantly lower complexity. Neumann series expansion (NSE) 24 based method is used to reduce the computing load by transforming the matrix inversion operation into a series of matrix-vector multiplications.…”
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confidence: 99%
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