Turbo Product Code-Aided Spatiotemporal 2-D Coded MIMO for URLLC

The ultra-reliable low-latency communication (URLLC) scenario beyond the fifth-generation mobile networks requires latency to shift from ms-level to ms-level while maintaining low packet error rates. Short block-length codes can reduce latency but suffer from performance degradation. Asymptotic analyses indicate that increasing spatial degrees of freedom in multiple-input multiple-output (MIMO) systems help to achieve target error rates with a fixed block length and signal-to-noise ratio. To approach the upper bound of the average maximal achievable information rate in massive MIMO systems, spatiotemporal 2-D channel coding has been proposed. However, a considerable gap remains between the performance of the existing coding scheme and the theoretical capacity bound. To bridge this gap, this article introduces turbo product codes aided spatiotemporal 2-D coded MIMO systems (TPCAS-MIMO). Multi-level design on the baseband MIMO transceiver, involving encoding, interleaving, modulation, detection, and decoding schemes, is explored to boost the performance of TPCAS-MIMO with low latency for URLLC. In comparison to prior arts, this work achieves a 5.5 dB SNR gain at a frame error rate of 10–5 using (64, 42)2 polar turbo product codes in a 64 x 128 MIMO system, narrowing to a mere 2.5 dB gap from the theoretical capacity bound.

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Publication Details

Journal
IEEE Communications Magazine
Published
2025-06-24
DOI
https://doi.org/10.1109/mcom.001.2400618
Citations
2
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
1.61
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article

Turbo Product Code-Aided Spatiotemporal 2-D Coded MIMO for URLLC

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2 citations
IEEE Communications Magazine
Gene expression and cancer classification
1.61
article

Turbo Product Code-Aided Spatiotemporal 2-D Coded MIMO for URLLC

Xiaosi Tan, Yongming Huang, Xiaohu You, Chuan Zhang, Jiamin Li, Yifei Shen, Zongyao Li, Wenyue Zhou, Yu Tian, Tiancan Xia, Jian Zheng
article en
2 citations

Abstract

The ultra-reliable low-latency communication (URLLC) scenario beyond the fifth-generation mobile networks requires latency to shift from ms-level to ms-level while maintaining low packet error rates. Short block-length codes can reduce latency but suffer from performance degradation. Asymptotic analyses indicate that increasing spatial degrees of freedom in multiple-input multiple-output (MIMO) systems help to achieve target error rates with a fixed block length and signal-to-noise ratio. To approach the upper bound of the average maximal achievable information rate in massive MIMO systems, spatiotemporal 2-D channel coding has been proposed. However, a considerable gap remains between the performance of the existing coding scheme and the theoretical capacity bound. To bridge this gap, this article introduces turbo product codes aided spatiotemporal 2-D coded MIMO systems (TPCAS-MIMO). Multi-level design on the baseband MIMO transceiver, involving encoding, interleaving, modulation, detection, and decoding schemes, is explored to boost the performance of TPCAS-MIMO with low latency for URLLC. In comparison to prior arts, this work achieves a 5.5 dB SNR gain at a frame error rate of 10–5 using (64, 42)2 polar turbo product codes in a 64 x 128 MIMO system, narrowing to a mere 2.5 dB gap from the theoretical capacity bound.

IEEE Communications Magazine
Openalex Percentile: Top 16%
Gene expression and cancer classification
1.61
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