Multi-beam Training for Near-field Communications in High-frequency Bands
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arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866913399907024896 |
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| author | Zhou, Cong You, Changsheng Huang, Zixuan Shi, Shuo Gong, Yi Chae, Chan-Byoung Huang, Kaibin |
| author_facet | Zhou, Cong You, Changsheng Huang, Zixuan Shi, Shuo Gong, Yi Chae, Chan-Byoung Huang, Kaibin |
| contents | In this paper, we study efficient multi-beam training design for near-field communications to reduce the beam training overhead of conventional single-beam training methods. In particular, the array-division based multi-beam training method, which is widely used in far-field communications, cannot be directly applied to the near-field scenario, since different sub-arrays may observe different user angles and there exist coverage holes in the angular domain. To address these issues, we first devise a new near-field multi-beam codebook by sparsely activating a portion of antennas to form a sparse linear array (SLA), hence generating multiple beams simultaneously by effective exploiting the near-field grating-lobs. Next, a two-stage near-field beam training method is proposed, for which several candidate user locations are identified firstly based on multi-beam sweeping over time, followed by the second stage to further determine the true user location with a small number of single-beam sweeping. Finally, numerical results show that our proposed multi-beam training method significantly reduces the beam training overhead of conventional single-beam training methods, yet achieving comparable rate performance in data transmission. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_14931 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Multi-beam Training for Near-field Communications in High-frequency Bands Zhou, Cong You, Changsheng Huang, Zixuan Shi, Shuo Gong, Yi Chae, Chan-Byoung Huang, Kaibin Signal Processing In this paper, we study efficient multi-beam training design for near-field communications to reduce the beam training overhead of conventional single-beam training methods. In particular, the array-division based multi-beam training method, which is widely used in far-field communications, cannot be directly applied to the near-field scenario, since different sub-arrays may observe different user angles and there exist coverage holes in the angular domain. To address these issues, we first devise a new near-field multi-beam codebook by sparsely activating a portion of antennas to form a sparse linear array (SLA), hence generating multiple beams simultaneously by effective exploiting the near-field grating-lobs. Next, a two-stage near-field beam training method is proposed, for which several candidate user locations are identified firstly based on multi-beam sweeping over time, followed by the second stage to further determine the true user location with a small number of single-beam sweeping. Finally, numerical results show that our proposed multi-beam training method significantly reduces the beam training overhead of conventional single-beam training methods, yet achieving comparable rate performance in data transmission. |
| title | Multi-beam Training for Near-field Communications in High-frequency Bands |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2406.14931 |