Finite-Precision Conjugate Gradient Method for Massive MIMO Detection
Fuente:
arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866911622078922752 |
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| author | Fang, Yiming Chen, Li You, Changsheng Wen, Dingzhu Zhu, Pengcheng |
| author_facet | Fang, Yiming Chen, Li You, Changsheng Wen, Dingzhu Zhu, Pengcheng |
| contents | The implementation of the conjugate gradient (CG) method for massive MIMO detection is computationally challenging, especially for a large number of users and correlated channels. In this paper, we propose a low computational complexity CG detection from a finite-precision perspective. First, we develop a finite-precision CG (FP-CG) detection to mitigate the computational bottleneck of each CG iteration and provide the attainable accuracy, convergence, and computational complexity analysis to reveal the impact of finite-precision arithmetic. A practical heuristic is presented to select suitable precisions. Then, to further reduce the number of iterations, we propose a joint finite-precision and block-Jacobi preconditioned CG (FP-BJ-CG) detection. The corresponding performance analysis is also provided. Finally, simulation results validate the theoretical insights and demonstrate the superiority of the proposed detection. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_09820 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Finite-Precision Conjugate Gradient Method for Massive MIMO Detection Fang, Yiming Chen, Li You, Changsheng Wen, Dingzhu Zhu, Pengcheng Signal Processing Information Theory The implementation of the conjugate gradient (CG) method for massive MIMO detection is computationally challenging, especially for a large number of users and correlated channels. In this paper, we propose a low computational complexity CG detection from a finite-precision perspective. First, we develop a finite-precision CG (FP-CG) detection to mitigate the computational bottleneck of each CG iteration and provide the attainable accuracy, convergence, and computational complexity analysis to reveal the impact of finite-precision arithmetic. A practical heuristic is presented to select suitable precisions. Then, to further reduce the number of iterations, we propose a joint finite-precision and block-Jacobi preconditioned CG (FP-BJ-CG) detection. The corresponding performance analysis is also provided. Finally, simulation results validate the theoretical insights and demonstrate the superiority of the proposed detection. |
| title | Finite-Precision Conjugate Gradient Method for Massive MIMO Detection |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2504.09820 |