Random Spreading With Higher Order Modulation in Unsourced Random Access

Unsourced random access (URA) is crucial for future massive access scenarios. Existing URA schemes often use low-order modulation and assess performance with a limited number of active users. This work presents a pilot-free URA scheme that employs random spreading and higher-order modulation. We derive a discrete mixture generalized approximate message passing algorithm to enhance active user detection (AUD) and data detection. Simulations show that our proposed method significantly outperforms pilot-based methods in AUD, and higher-order modulation supports a large number of active users while ensuring the target per user probability of error (PUPE) performance.

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Publication Details

Journal
IEEE Communications Letters
Published
2025-02-21
DOI
https://doi.org/10.1109/lcomm.2025.3544250
Citations
5
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
3.65

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article

Random Spreading With Higher Order Modulation in Unsourced Random Access

Zaichen Zhang, Jian Dang, Yongpeng Wu
5 citations
IEEE Communications Letters
Indoor and Outdoor Localization Technologies
3.65
article

Random Spreading With Higher Order Modulation in Unsourced Random Access

Zaichen Zhang, Jian Dang, Yongpeng Wu
article en
5 citations

Abstract

Unsourced random access (URA) is crucial for future massive access scenarios. Existing URA schemes often use low-order modulation and assess performance with a limited number of active users. This work presents a pilot-free URA scheme that employs random spreading and higher-order modulation. We derive a discrete mixture generalized approximate message passing algorithm to enhance active user detection (AUD) and data detection. Simulations show that our proposed method significantly outperforms pilot-based methods in AUD, and higher-order modulation supports a large number of active users while ensuring the target per user probability of error (PUPE) performance.

IEEE Communications LettersVol. 29(4)
Shanghai Jiao Tong University (CN), Southeast University (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Higher Education Discipline Innovation Project, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 8%
Indoor and Outdoor Localization Technologies
3.65
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Random Spreading With Higher Order Modulation in Unsourced Random Access — Zaichen Zhang, Jian Dang, et al. · IEEE Communications Letters (2025) | TGRS Research Map | TGRS