Joint Intra/Inter-Slot Code Design for Unsourced Multiple Access in 6G Internet of Things

Unsourced multiple access (UMA) is the technology for massive, low-power, and uncoordinated Internet-of-Things in the 6G wireless system, improving connectivity and energy efficiency on guaranteed reliability. The multi-user coding scheme design is a critical problem for UMA. This paper proposes a U...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2022-12, Vol.23 (1), p.242
Main Authors: Li, Yuanjie, Niu, Kai, Dong, Chao, Suo, Shiqiang, Lin, Jiaru
Format: Article
Language:English
Subjects:
6G mobile communication
Algorithms
Analysis
Codes
Coding
degree distribution optimization
Design optimization
Energy efficiency
Error analysis
IDMA
Internet access
Internet of Things
Mathematical optimization
Multiple access
Optimization
Payloads
Signal to noise ratio
T-Fold IRSA
Telecommunication systems
unsourced multiple access
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Summary:Unsourced multiple access (UMA) is the technology for massive, low-power, and uncoordinated Internet-of-Things in the 6G wireless system, improving connectivity and energy efficiency on guaranteed reliability. The multi-user coding scheme design is a critical problem for UMA. This paper proposes a UMA coding scheme based on the T-Fold IRSA (irregular repetition slotted Aloha) paradigm by using joint Intra/inter-slot code design and optimization. Our scheme adopts interleave-division multiple access (IDMA) to enhance the intra-slot coding gain and the low-complexity joint intra/inter-slot SIC (successive interference cancellation) decoder structure to recover multi-user payloads. Based on the error event decomposition and density evolution analysis, we build a joint intra/inter-slot coding parameter optimization algorithm to minimize the SNR (signal-to-noise ratio) requirement at an expected system packet loss rate. Numerical results indicate that the proposed scheme achieves energy efficiency gain by balancing the intra/inter-slot coding gain while maintaining relatively low implementation complexity.
ISSN:1424-8220
1424-8220
DOI:10.3390/s23010242