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| Auteurs principaux: | , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2503.10525 |
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| _version_ | 1866909536761151488 |
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| author | Zhu, Jun Xu, Yin He, Dazhi Li, Haoyang Guan, Yunfeng Zhang, Wenjun Ma, Tianyao Yuan, Haozhi |
| author_facet | Zhu, Jun Xu, Yin He, Dazhi Li, Haoyang Guan, Yunfeng Zhang, Wenjun Ma, Tianyao Yuan, Haozhi |
| contents | This paper explores the potential of affine frequency division multiplexing (AFDM) to mitigate the multiuser interference (MUI) problem by employing time-domain precoding in extremely-large-scale multiple-input multiple-output (XL-MIMO) systems. In XL-MIMO systems, user mobility significantly improves network capacity and transmission quality. Meanwhile, the robustness of AFDM to Doppler shift is enhanced in user mobility scenarios, which further improves the system performance. However, the multicarrier nature of AFDM has attracted much attention, and it leads to a significant increase in precoding complexity. However, the serious problem is that the multicarrier use of AFDM leads to a sharp increase in precoding complexity. Therefore, we employ efficient precoding randomized Kaczmarz (rKA) to reduce the complexity overhead. Through simulation analysis, we compare the performance of XL-MIMO-AFDM and XL-MIMO orthogonal frequency division multiplexing (XL-MIMO-OFDM) in mobile scenarios, and the results show that our proposed AFDM-based XL-MIMO precoding design can be more efficient. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_10525 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Efficient Precoding in XL-MIMO-AFDM System Zhu, Jun Xu, Yin He, Dazhi Li, Haoyang Guan, Yunfeng Zhang, Wenjun Ma, Tianyao Yuan, Haozhi Distributed, Parallel, and Cluster Computing This paper explores the potential of affine frequency division multiplexing (AFDM) to mitigate the multiuser interference (MUI) problem by employing time-domain precoding in extremely-large-scale multiple-input multiple-output (XL-MIMO) systems. In XL-MIMO systems, user mobility significantly improves network capacity and transmission quality. Meanwhile, the robustness of AFDM to Doppler shift is enhanced in user mobility scenarios, which further improves the system performance. However, the multicarrier nature of AFDM has attracted much attention, and it leads to a significant increase in precoding complexity. However, the serious problem is that the multicarrier use of AFDM leads to a sharp increase in precoding complexity. Therefore, we employ efficient precoding randomized Kaczmarz (rKA) to reduce the complexity overhead. Through simulation analysis, we compare the performance of XL-MIMO-AFDM and XL-MIMO orthogonal frequency division multiplexing (XL-MIMO-OFDM) in mobile scenarios, and the results show that our proposed AFDM-based XL-MIMO precoding design can be more efficient. |
| title | Efficient Precoding in XL-MIMO-AFDM System |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2503.10525 |