Improved SINR Approximation for Downlink SDMA-based Networks with Outdated Channel State Information
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866910012502179840 |
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| author | Montefiore, Maria Cecilia Fernández González, Gustavo López-Martínez, F. Javier Gregorio, Fernando |
| author_facet | Montefiore, Maria Cecilia Fernández González, Gustavo López-Martínez, F. Javier Gregorio, Fernando |
| contents | Understanding the performance of multi-user multiple-input multiple-output (MU-MIMO) systems under imperfect channel state information at the transmitter (CSIT) remains a critical challenge in next-generation wireless networks. In this context, accurate statistical modeling of the signal-to-interference-plus-noise ratio (SINR) is essential for enabling tractable performance analysis of multi-user systems. This paper presents an improved statistical approximation of the SINR for downlink (DL) MU-MIMO systems with imperfect CSIT. The proposed model retains the analytical simplicity of existing approaches (e.g., Gamma-based approximations) while overcoming their limitations, particularly the underestimation of SINR variance. We evaluate the proposed approximation in the context of Rate-Splitting Multiple Access (RSMA)-enabled MIMO DL systems with outdated CSIT. The results demonstrate excellent accuracy across a wide range of system configurations, including varying numbers of users, antennas, and degrees of CSIT staleness. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_09020 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Improved SINR Approximation for Downlink SDMA-based Networks with Outdated Channel State Information Montefiore, Maria Cecilia Fernández González, Gustavo López-Martínez, F. Javier Gregorio, Fernando Signal Processing Information Theory Understanding the performance of multi-user multiple-input multiple-output (MU-MIMO) systems under imperfect channel state information at the transmitter (CSIT) remains a critical challenge in next-generation wireless networks. In this context, accurate statistical modeling of the signal-to-interference-plus-noise ratio (SINR) is essential for enabling tractable performance analysis of multi-user systems. This paper presents an improved statistical approximation of the SINR for downlink (DL) MU-MIMO systems with imperfect CSIT. The proposed model retains the analytical simplicity of existing approaches (e.g., Gamma-based approximations) while overcoming their limitations, particularly the underestimation of SINR variance. We evaluate the proposed approximation in the context of Rate-Splitting Multiple Access (RSMA)-enabled MIMO DL systems with outdated CSIT. The results demonstrate excellent accuracy across a wide range of system configurations, including varying numbers of users, antennas, and degrees of CSIT staleness. |
| title | Improved SINR Approximation for Downlink SDMA-based Networks with Outdated Channel State Information |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2508.09020 |