Design and Analysis of Massive Uncoupled Unsourced Random Access With Bayesian Joint Decoding

In this article, we investigate unsourced random access for massive machine-type communications (mMTC) in the sixth-generation (6G) wireless networks. Firstly, we establish a high-efficiency uncoupled framework for massive unsourced random accesss without extra parity check bits. Then, we design a l...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 73; H. 7; S. 10350 - 10364
Hauptverfasser: Tian, Feiyan, Chen, Xiaoming, Guan, Yong Liang, Yuen, Chau
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.07.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
6G mobile communication
Algorithms
Bayes methods
Bayesian analysis
Bayesian joint decoding
Codes
Complexity
Complexity theory
Decoding
Design analysis
Error analysis
Message passing
mMTC
Parity
Random access
Sparse matrices
Statistical analysis
Stitching
unsourced random access
Vectors
Wireless networks
ISSN:0018-9545, 1939-9359
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Zusammenfassung:In this article, we investigate unsourced random access for massive machine-type communications (mMTC) in the sixth-generation (6G) wireless networks. Firstly, we establish a high-efficiency uncoupled framework for massive unsourced random accesss without extra parity check bits. Then, we design a low-complexity Bayesian joint decoding algorithm, including codeword detection and stitching. In particular, we present a Bayesian codeword detection approach by exploiting Bayes-optimal divergence-free orthogonal approximate message passing in the case of unknown priors. The output long-term channel statistic information is well leveraged to stitch codewords for recovering the original message. Thus, the spectral efficiency is improved by avoiding the use of parity bits. Moreover, we analyze the performance of the proposed Bayesian joint decoding-based massive uncoupled unsourced random access scheme in terms of computational complexity and error probability of decoding. Furthermore, by asymptotic analysis, we obtain some useful insights for the design of massive unsourced random access. Finally, extensive simulation results confirm the effectiveness of the proposed scheme in 6G wireless networks.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2024.3377716