Unsourced Random Access With Uncoupled Compressive Sensing and Forward Error Correction

In this paper, we investigate the unsourced random access (URA) under Rayleigh fading model. The proposed URA scheme incorporates uncoupled compressive sensing with forward error correction. It avoids the challenges of more effective tree decoder design and alleviates the issue of performance deterioration caused by under-determined multi-user detection model under small antenna number. Moreover, amplitude modulation (AM) is adopted in this work as a power division method to improve efficiency, carrying more information without modifications on codebook. Approximate message passing (AMP) algorithm with post variance fusion is designed to demodulate AM with large fading effect and improve estimation precision. Numerical results are illustrated by fair comparisons with state-of-the-arts.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2024-09-30
DOI
https://doi.org/10.1109/tvt.2024.3471653
Citations
5
Primary Topic
Sparse and Compressive Sensing Techniques
Type
article
Field-Weighted Citation Impact
1.87
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article

Unsourced Random Access With Uncoupled Compressive Sensing and Forward Error Correction

Zaichen Zhang, Zhentian Zhang, Liang Wu, Bingcheng Zhu et al.
5 citations
IEEE Transactions on Vehicular Technology
Sparse and Compressive Sensing Techniques
1.87
article

Unsourced Random Access With Uncoupled Compressive Sensing and Forward Error Correction

Zaichen Zhang, Zhentian Zhang, Liang Wu, Bingcheng Zhu, Jian Dang
article en
5 citations

Abstract

In this paper, we investigate the unsourced random access (URA) under Rayleigh fading model. The proposed URA scheme incorporates uncoupled compressive sensing with forward error correction. It avoids the challenges of more effective tree decoder design and alleviates the issue of performance deterioration caused by under-determined multi-user detection model under small antenna number. Moreover, amplitude modulation (AM) is adopted in this work as a power division method to improve efficiency, carrying more information without modifications on codebook. Approximate message passing (AMP) algorithm with post variance fusion is designed to demodulate AM with large fading effect and improve estimation precision. Numerical results are illustrated by fair comparisons with state-of-the-arts.

IEEE Transactions on Vehicular TechnologyVol. 74(2)
Southeast University (CN)
Openalex Percentile: Top 16%
Sparse and Compressive Sensing Techniques
1.87
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