Hybrid-Field-Aware Two-Stage Beamforming Scheme for XL-MIMO Systems

In this article, we propose a hybrid-field-aware two-stage beamforming (HFA-TSB) scheme for extremely large-scale MIMO (XL-MIMO) systems. The HFA-TSB scheme can reduce the high pilot overhead associated with channel estimation by leveraging statistical channel state information (SCSI). Utilizing our derived ergodic spectral efficiency (SE), which relies solely on SCSI, we can eliminate the interference resulting from the nonorthogonality of near-field polar domain codewords. Specifically, the HFA-TSB scheme comprises two stages: 1) pre-beamforming and 2) precoding. In the pre-beamforming stage, we use SCSI to design the pre-beamforming matrix, focusing on eliminating interference among asymptotically orthogonal channels. This can establish an equivalent reduced-dimensional channel matrix, which can be estimated using less pilot overhead. Additionally, to address the interference caused by the nonorthogonality of near-field codewords, we derived an ergodic SE that relies solely on SCSI. Using this as an optimization objective, the pre-beamforming matrix design problem is formulated as a 0-1 integer nonlinear programming problem, which is challenging to solve. To address this, we propose a constraint-driven two-phase greedy beam selection algorithm for identifying effective beams. In the precoding stage, we design the precoder based on the estimated equivalent sparse channel to effectively mitigate any residual interuser interference. Simulations validate the superior performance of our proposed HFA-TSB scheme in terms of net SE.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-03-31
DOI
https://doi.org/10.1109/jiot.2025.3555635
Citations
5
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
3.65

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article

Hybrid-Field-Aware Two-Stage Beamforming Scheme for XL-MIMO Systems

Yunchao Song, Daqing Ge, Zhisheng Yin, Nan Cheng et al.
5 citations
IEEE Internet of Things Journal
Advanced MIMO Systems Optimization
3.65
article

Hybrid-Field-Aware Two-Stage Beamforming Scheme for XL-MIMO Systems

Yunchao Song, Daqing Ge, Zhisheng Yin, Nan Cheng, Tianbao Gao, Chen Liu
article en
5 citations

Abstract

In this article, we propose a hybrid-field-aware two-stage beamforming (HFA-TSB) scheme for extremely large-scale MIMO (XL-MIMO) systems. The HFA-TSB scheme can reduce the high pilot overhead associated with channel estimation by leveraging statistical channel state information (SCSI). Utilizing our derived ergodic spectral efficiency (SE), which relies solely on SCSI, we can eliminate the interference resulting from the nonorthogonality of near-field polar domain codewords. Specifically, the HFA-TSB scheme comprises two stages: 1) pre-beamforming and 2) precoding. In the pre-beamforming stage, we use SCSI to design the pre-beamforming matrix, focusing on eliminating interference among asymptotically orthogonal channels. This can establish an equivalent reduced-dimensional channel matrix, which can be estimated using less pilot overhead. Additionally, to address the interference caused by the nonorthogonality of near-field codewords, we derived an ergodic SE that relies solely on SCSI. Using this as an optimization objective, the pre-beamforming matrix design problem is formulated as a 0-1 integer nonlinear programming problem, which is challenging to solve. To address this, we propose a constraint-driven two-phase greedy beam selection algorithm for identifying effective beams. In the precoding stage, we design the precoder based on the estimated equivalent sparse channel to effectively mitigate any residual interuser interference. Simulations validate the superior performance of our proposed HFA-TSB scheme in terms of net SE.

IEEE Internet of Things JournalVol. 12(13)
Xidian University (CN), Nanjing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 7%
Advanced MIMO Systems Optimization
3.65
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