Numerical Error Analysis of MIMO Detector Based on Cholesky Factorization

In this letter, we propose a new approach to justify a roundoff error’s impact on the accuracy of the linear multi-antenna receiver based on Cholesky decomposition. This decomposition is used in the minimum mean square error (MMSE) algorithm to invert the interference-plus-noise matrix. We suggest a stochastic approach to calculate the resulting roundoff error of a low-bitwidth MMSE detection that employs a quantized channel estimate and an inaccurate interference-plus-noise matrix inversion. The proposed method allows for a detailed roundoff analysis of the linear detection. It was validated in realistic scenarios using a standard half-precision format. Experimental data show that our method predicts errors that are quite similar to those obtained from simulations. The suggested method can be used to study how quantization noise and other sources of error (such as channel estimation, interpolation, and interference-plus-noise matrix sampling) affect the accuracy of detection.

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Publication Details

Journal
IEEE Communications Letters
Published
2025-09-23
DOI
https://doi.org/10.1109/lcomm.2025.3613666
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
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article

Numerical Error Analysis of MIMO Detector Based on Cholesky Factorization

Roman Bychkov, Mikhail Kirichenko, Vladimir Lyashev, Andrey Ivanov et al.
IEEE Communications Letters
Antenna Design and Optimization
article

Numerical Error Analysis of MIMO Detector Based on Cholesky Factorization

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

Abstract

In this letter, we propose a new approach to justify a roundoff error’s impact on the accuracy of the linear multi-antenna receiver based on Cholesky decomposition. This decomposition is used in the minimum mean square error (MMSE) algorithm to invert the interference-plus-noise matrix. We suggest a stochastic approach to calculate the resulting roundoff error of a low-bitwidth MMSE detection that employs a quantized channel estimate and an inaccurate interference-plus-noise matrix inversion. The proposed method allows for a detailed roundoff analysis of the linear detection. It was validated in realistic scenarios using a standard half-precision format. Experimental data show that our method predicts errors that are quite similar to those obtained from simulations. The suggested method can be used to study how quantization noise and other sources of error (such as channel estimation, interpolation, and interference-plus-noise matrix sampling) affect the accuracy of detection.

IEEE Communications LettersVol. 29(12)
Skolkovo Institute of Science and Technology (RU), Moscow Institute of Physics and Technology (RU)
Openalex Percentile: Top 66%
Antenna Design and Optimization
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