Low-Complexity Sparse Superimposed Coding for Ultra Reliable Low Latency Communications
Abstract
Sparse superimposed coding (SSC) has emerged as a promising technique for short-packet transmission in ultra-reliable low-latency communication scenarios. However, conventional SSC schemes often suffer from high encoding and decoding complexity due to the use of dense codebook matrices. In this paper, we propose a low-complexity SSC scheme by designing a sparse codebook structure, where each codeword contains only a small number of non-zero elements. The decoding is performed using the traditional multipath matching pursuit algorithm, and the overall complexity is significantly reduced by exploiting the sparsity of the codebook. Simulation results show that the proposed scheme achieves a favorable trade-off between BLER performance and computational complexity, and exhibits strong robustness across different transmission block lengths.
Keywords
Cite
@article{arxiv.2601.16012,
title = {Low-Complexity Sparse Superimposed Coding for Ultra Reliable Low Latency Communications},
author = {Yanfeng Zhang and Xi'an Fan and Xu Zhu and Jinkai Zheng and Hui Liang and Weiwei Yang and Tom H. Luan},
journal= {arXiv preprint arXiv:2601.16012},
year = {2026}
}