Blind Passive Beamforming for MIMO System
Fuente:
arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866908394094329856 |
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| author | Lai, Wenhai Yao, Jiawei Shen, Kaiming |
| author_facet | Lai, Wenhai Yao, Jiawei Shen, Kaiming |
| contents | Passive beamforming for the intelligent surface (IS)-aided multiple-input multiple-output (MIMO) communication is a difficult nonconvex problem. It becomes even more challenging under the practical discrete constraints on phase shifts. Unlike most of the existing approaches that rely on the channel state information (CSI), this work advocates a blind beamforming strategy without any CSI. Simply put, we propose a statistical method that learns the main feature of the wireless environment from the random samples of received signal power. Field tests in the 5G commercial network demonstrate the superiority of the proposed blind passive beamforming method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_00987 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Blind Passive Beamforming for MIMO System Lai, Wenhai Yao, Jiawei Shen, Kaiming Information Theory Signal Processing Passive beamforming for the intelligent surface (IS)-aided multiple-input multiple-output (MIMO) communication is a difficult nonconvex problem. It becomes even more challenging under the practical discrete constraints on phase shifts. Unlike most of the existing approaches that rely on the channel state information (CSI), this work advocates a blind beamforming strategy without any CSI. Simply put, we propose a statistical method that learns the main feature of the wireless environment from the random samples of received signal power. Field tests in the 5G commercial network demonstrate the superiority of the proposed blind passive beamforming method. |
| title | Blind Passive Beamforming for MIMO System |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2506.00987 |