Diversity and Multiplexing for Continuous-Aperture Array (CAPA)-Based Communications

A general fading model for multipath channels between two non-parallel continuous-aperture arrays (CAPAs) is proposed. Building on this model, the performance of diversity and multiplexing achieved by CAPAs over fading channels is analyzed. i) For multiple-input single-output (MISO) and singleinput multiple-output (SIMO) channels, Landau’s eigenvalue theorem is applied to analyze the autocorrelation of the spatial response. Closed-form expressions are derived for the outage probability (OP) and ergodic channel capacity (ECC). Asymptotic analyses in the high signal-to-noise ratio (SNR) regime are conducted to reveal the maximal achievable diversity and multiplexing gains. The diversity-multiplexing trade-off (DMT) is characterized, along with the array gain within the DMT framework. ii) For multiple-input multiple-output (MIMO) channels, a wavenumber-domain-based transmission framework is proposed to leverage the spatial degrees of freedom offered by CAPAs. Asymptotic approximations for the OP and ECC are derived, and the DMT is explored. The performance of CAPAs is further compared with that of conventional spatially-discrete arrays (SPDAs). Analytical and numerical results demonstrate that: i) CAPAs achieve a lower OP and higher ECC than SPDAs; ii) CAPAs achieve the same DMT as SPDAs with antenna spacing no larger than half a wavelength while attaining a higher array gain; and iii) CAPAs outperform SPDAs with antenna spacing greater than half a wavelength in terms of DMT.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2025-05-15
DOI
https://doi.org/10.1109/twc.2025.3568247
Citations
6
Primary Topic
Antenna Design and Optimization
Type
article
Field-Weighted Citation Impact
29.96
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article

Diversity and Multiplexing for Continuous-Aperture Array (CAPA)-Based Communications

Chongjun Ouyang, Yuanwei Liu, Xingqi Zhang, Zhaolin Wang
6 citations
IEEE Transactions on Wireless Communications
Antenna Design and Optimization
29.96
article

Diversity and Multiplexing for Continuous-Aperture Array (CAPA)-Based Communications

Chongjun Ouyang, Yuanwei Liu, Xingqi Zhang, Zhaolin Wang
article en
6 citations

Abstract

A general fading model for multipath channels between two non-parallel continuous-aperture arrays (CAPAs) is proposed. Building on this model, the performance of diversity and multiplexing achieved by CAPAs over fading channels is analyzed. i) For multiple-input single-output (MISO) and singleinput multiple-output (SIMO) channels, Landau’s eigenvalue theorem is applied to analyze the autocorrelation of the spatial response. Closed-form expressions are derived for the outage probability (OP) and ergodic channel capacity (ECC). Asymptotic analyses in the high signal-to-noise ratio (SNR) regime are conducted to reveal the maximal achievable diversity and multiplexing gains. The diversity-multiplexing trade-off (DMT) is characterized, along with the array gain within the DMT framework. ii) For multiple-input multiple-output (MIMO) channels, a wavenumber-domain-based transmission framework is proposed to leverage the spatial degrees of freedom offered by CAPAs. Asymptotic approximations for the OP and ECC are derived, and the DMT is explored. The performance of CAPAs is further compared with that of conventional spatially-discrete arrays (SPDAs). Analytical and numerical results demonstrate that: i) CAPAs achieve a lower OP and higher ECC than SPDAs; ii) CAPAs achieve the same DMT as SPDAs with antenna spacing no larger than half a wavelength while attaining a higher array gain; and iii) CAPAs outperform SPDAs with antenna spacing greater than half a wavelength in terms of DMT.

IEEE Transactions on Wireless CommunicationsVol. 24(10)
University College Dublin (IE), University of Alberta (CA), Queen Mary University of London (GB), University of Hong Kong (HK)
Openalex Percentile: Top 1%
Antenna Design and Optimization
29.96
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Diversity and Multiplexing for Continuous-Aperture Array (CAPA)-Based Communications — Chongjun Ouyang, Yuanwei Liu, et al. · IEEE Transactions on Wireless Communications (2025) | TGRS Research Map | TGRS