Harnessing Wavefront Curvature and Spatial Correlation in Noncoherent MIMO Communications
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915299467460608 |
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| author | Martí, Aniol Sanguinetti, Luca Lamarca, Meritxell Riba, Jaume |
| author_facet | Martí, Aniol Sanguinetti, Luca Lamarca, Meritxell Riba, Jaume |
| contents | Noncoherent communication systems have regained interest due to the growing demand for high-mobility and low-latency applications. Most existing studies using large antenna arrays rely on the far-field approximation, which assumes locally plane wavefronts. This assumption becomes inaccurate at higher frequencies and shorter ranges, where wavefront curvature plays a significant role and antenna arrays may operate in the radiative near field. In this letter, we adopt a model for the channel spatial correlation matrix that remains valid in both near and far field scenarios. Using this model, we demonstrate that energy-based noncoherent systems can leverage the benefits of wavefront spherical curvature, even beyond the Fraunhofer distance, revealing that the classical far-field approximation may significantly underestimate system performance. Moreover, we show that large antenna arrays enable the multiplexing of various users even with a noncoherent processing, as well as permitting near-optimal detection with low computational complexity. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_18000 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Harnessing Wavefront Curvature and Spatial Correlation in Noncoherent MIMO Communications Martí, Aniol Sanguinetti, Luca Lamarca, Meritxell Riba, Jaume Signal Processing Noncoherent communication systems have regained interest due to the growing demand for high-mobility and low-latency applications. Most existing studies using large antenna arrays rely on the far-field approximation, which assumes locally plane wavefronts. This assumption becomes inaccurate at higher frequencies and shorter ranges, where wavefront curvature plays a significant role and antenna arrays may operate in the radiative near field. In this letter, we adopt a model for the channel spatial correlation matrix that remains valid in both near and far field scenarios. Using this model, we demonstrate that energy-based noncoherent systems can leverage the benefits of wavefront spherical curvature, even beyond the Fraunhofer distance, revealing that the classical far-field approximation may significantly underestimate system performance. Moreover, we show that large antenna arrays enable the multiplexing of various users even with a noncoherent processing, as well as permitting near-optimal detection with low computational complexity. |
| title | Harnessing Wavefront Curvature and Spatial Correlation in Noncoherent MIMO Communications |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2501.18000 |