Optimal Bilinear Equalizer for Cell-Free Massive MIMO Systems over Correlated Rician Channels
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866913713859067904 |
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| author | Wang, Zhe Zhang, Jiayi Björnson, Emil Niyato, Dusit Ai, Bo |
| author_facet | Wang, Zhe Zhang, Jiayi Björnson, Emil Niyato, Dusit Ai, Bo |
| contents | In this paper, we explore the low-complexity optimal bilinear equalizer (OBE) combining scheme design for cell-free massive multiple-input multiple-output networks with spatially correlated Rician fading channels. We provide a spectral efficiency (SE) performance analysis framework for both the centralized and distributed processing schemes with bilinear equalizer (BE)-structure combining schemes applied. The BE-structured combining is a set of schemes that are constructed by the multiplications of channel statistics-based BE matrices and instantaneous channel estimates. Notably, we derive closed-form achievable SE expressions for centralized and distributed BE-structured combining schemes. We propose one centralized and two distributed OBE schemes: Centralized OBE (C-OBE), Distributed OBE based on Global channel statistics (DG-OBE), and Distributed OBE based on Local channel statistics (DL-OBE), which maximize their respective SE expressions. OBE matrices in these schemes are tailored based on varying levels of channel statistics. Notably, we obtain new and insightful closed-form results for the C-OBE, DG-OBE, and DL-OBE combining schemes. Numerical results demonstrate that the proposed OBE schemes can achieve excellent SE, even in scenarios with severe pilot contamination. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2407_18531 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimal Bilinear Equalizer for Cell-Free Massive MIMO Systems over Correlated Rician Channels Wang, Zhe Zhang, Jiayi Björnson, Emil Niyato, Dusit Ai, Bo Signal Processing Information Theory In this paper, we explore the low-complexity optimal bilinear equalizer (OBE) combining scheme design for cell-free massive multiple-input multiple-output networks with spatially correlated Rician fading channels. We provide a spectral efficiency (SE) performance analysis framework for both the centralized and distributed processing schemes with bilinear equalizer (BE)-structure combining schemes applied. The BE-structured combining is a set of schemes that are constructed by the multiplications of channel statistics-based BE matrices and instantaneous channel estimates. Notably, we derive closed-form achievable SE expressions for centralized and distributed BE-structured combining schemes. We propose one centralized and two distributed OBE schemes: Centralized OBE (C-OBE), Distributed OBE based on Global channel statistics (DG-OBE), and Distributed OBE based on Local channel statistics (DL-OBE), which maximize their respective SE expressions. OBE matrices in these schemes are tailored based on varying levels of channel statistics. Notably, we obtain new and insightful closed-form results for the C-OBE, DG-OBE, and DL-OBE combining schemes. Numerical results demonstrate that the proposed OBE schemes can achieve excellent SE, even in scenarios with severe pilot contamination. |
| title | Optimal Bilinear Equalizer for Cell-Free Massive MIMO Systems over Correlated Rician Channels |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2407.18531 |