Channel Charting-assisted Non-orthogonal Pilot Allocation for Uplink XL-MIMO Transmission
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866909444270456832 |
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| author | Che, Haohong You, Li Wang, Jue Jin, Zhenzhou Xie, Chenjie Gao, Xiqi |
| author_facet | Che, Haohong You, Li Wang, Jue Jin, Zhenzhou Xie, Chenjie Gao, Xiqi |
| contents | Extremely large-scale multiple-input multiple-output (XL-MIMO) is critical to future wireless networks. The substantial increase in the number of base station (BS) antennas introduces near-field propagation effects in the wireless channels, complicating channel parameter estimation and increasing pilot overhead. Channel charting (CC) has emerged as a potent unsupervised technique to effectively harness varying high-dimensional channel statistics to enable non-orthogonal pilot assignment and reduce pilot overhead. In this paper, we investigate near-field channel estimation with reduced pilot overhead by developing a CC-assisted pilot scheduling. To this end, we introduce a polar-domain codebook to capture the power distribution of near-field XL-MIMO channels. The CC-assisted approach uses such features as inputs to enable an effective low-dimensional mapping of the inherent correlation patterns in near-field user terminal (UT) channels. Building upon the mapped channel correlations, we further propose a near-field CC-assisted pilot allocation (NCC-PA) algorithm, which efficiently enhances channel orthogonality among pilot-reusing UTs. Numerical results confirm that the NCC-PA algorithm substantially elevates the wireless transmission performance, offering a marked improvement over the conventional far-field CC-PA approach. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_20920 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Channel Charting-assisted Non-orthogonal Pilot Allocation for Uplink XL-MIMO Transmission Che, Haohong You, Li Wang, Jue Jin, Zhenzhou Xie, Chenjie Gao, Xiqi Information Theory Signal Processing Extremely large-scale multiple-input multiple-output (XL-MIMO) is critical to future wireless networks. The substantial increase in the number of base station (BS) antennas introduces near-field propagation effects in the wireless channels, complicating channel parameter estimation and increasing pilot overhead. Channel charting (CC) has emerged as a potent unsupervised technique to effectively harness varying high-dimensional channel statistics to enable non-orthogonal pilot assignment and reduce pilot overhead. In this paper, we investigate near-field channel estimation with reduced pilot overhead by developing a CC-assisted pilot scheduling. To this end, we introduce a polar-domain codebook to capture the power distribution of near-field XL-MIMO channels. The CC-assisted approach uses such features as inputs to enable an effective low-dimensional mapping of the inherent correlation patterns in near-field user terminal (UT) channels. Building upon the mapped channel correlations, we further propose a near-field CC-assisted pilot allocation (NCC-PA) algorithm, which efficiently enhances channel orthogonality among pilot-reusing UTs. Numerical results confirm that the NCC-PA algorithm substantially elevates the wireless transmission performance, offering a marked improvement over the conventional far-field CC-PA approach. |
| title | Channel Charting-assisted Non-orthogonal Pilot Allocation for Uplink XL-MIMO Transmission |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2412.20920 |