English

Hierarchical Sparse Vector Transmission for Ultra Reliable and Low Latency Communications

Signal Processing 2026-01-21 v1 Information Theory Image and Video Processing math.IT

Abstract

Sparse vector transmission (SVT) is a promising candidate technology for achieving ultra-reliable low-latency communication (URLLC). In this paper, a hierarchical SVT scheme is proposed for multi-user URLLC scenarios. The hierarchical SVT scheme partitions the transmitted bits into common and private parts. The common information is conveyed by the indices of non-zero sections in a sparse vector, while each user's private information is embedded into non-zero blocks with specific block lengths. At the receiver, the common bits are first recovered from the detected non-zero sections, followed by user-specific private bits decoding based on the corresponding non-zero block indices. Simulation results show the proposed scheme outperforms state-of-the-art SVT schemes in terms of block error rate.

Keywords

Cite

@article{arxiv.2601.13204,
  title  = {Hierarchical Sparse Vector Transmission for Ultra Reliable and Low Latency Communications},
  author = {Yanfeng Zhang and Xi'an Fan and Jinkai Zheng and Xiaoye Jing and Weiwei Yang and Xu Zhu},
  journal= {arXiv preprint arXiv:2601.13204},
  year   = {2026}
}