Stochastic Estimation of MIMO Detection Error Caused by Low-Bitwidth QR Decomposition

In this paper, we propose a new approach to justify a roundoff error impact on the accuracy of the linear least squares (LS) solution using QR decomposition. This decomposition is widely employed to invert a matrix in the linear detector of the multi-user multi-antenna receiver. Compared to existing numerical results, the suggested stochastic bound is far closer to actual errors. It was put through a half-precision format test and verified in real-world scenarios generated by the Quadriga 2.0 tool and in random randsvd ensemble. The results of experiments show that our method predicts errors that are extremely similar to those observed in simulations. The suggested method can be used to examine the roundoff error in many other applications that require matrix inverse operations.

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Publication Details

Journal
IEEE Open Journal of the Communications Society
Published
2024-12-11
DOI
https://doi.org/10.1109/ojcoms.2024.3515860
Citations
3
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.63
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article

Stochastic Estimation of MIMO Detection Error Caused by Low-Bitwidth QR Decomposition

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3 citations
IEEE Open Journal of the Communications Society
Advanced MIMO Systems Optimization
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article

Stochastic Estimation of MIMO Detection Error Caused by Low-Bitwidth QR Decomposition

Roman Bychkov, Mikhail Kirichenko, Vladimir Lyashev, Andrey Ivanov, Alexander Osinsky
article en
3 citations

Abstract

In this paper, we propose a new approach to justify a roundoff error impact on the accuracy of the linear least squares (LS) solution using QR decomposition. This decomposition is widely employed to invert a matrix in the linear detector of the multi-user multi-antenna receiver. Compared to existing numerical results, the suggested stochastic bound is far closer to actual errors. It was put through a half-precision format test and verified in real-world scenarios generated by the Quadriga 2.0 tool and in random randsvd ensemble. The results of experiments show that our method predicts errors that are extremely similar to those observed in simulations. The suggested method can be used to examine the roundoff error in many other applications that require matrix inverse operations.

IEEE Open Journal of the Communications SocietyVol. 6
Skolkovo Institute of Science and Technology (RU), Moscow Institute of Physics and Technology (RU)
Openalex Percentile: Top 30%
Advanced MIMO Systems Optimization
0.63
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