Hierarchical Sparse Vector Transmission for Ultra Reliable and Low Latency Communications

2026-01-19

AI Summary

This work addresses the limitations in reliability and efficiency of conventional sparse vector transmission for multi-user ultra-reliable low-latency communication (URLLC). To overcome these challenges, a hierarchical sparse vector transmission scheme is proposed, which simultaneously embeds common information—encoded via the indices of non-zero segments—and user-specific private information—represented by variable-length non-zero blocks—within a single sparse vector. A staged reception and decoding mechanism is employed to recover the layered information structure. By innovatively introducing this hierarchical design, the scheme significantly enhances both spectral efficiency and transmission reliability. Simulation results demonstrate that the proposed method outperforms state-of-the-art sparse transmission approaches in terms of block error rate performance.

Technology Category

• Cognitive Modeling & Cognitive Systems: Neural Spike Coding
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Machine Learning: Mixture of Experts (MoE)

Application Category

• Search and Retrieval-Augmented AI: Efficiency and scalability of Web search engines
• Responsible Web: Data and user privacy-enhancing technologies for the Web
• Security and Privacy: Large-scale security measurements

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.

Problem

• Ultra Reliable and Low Latency Communications
• Sparse Vector Transmission
• Multi-user URLLC
• Common and Private Information
• Block Error Rate

Innovation

• Hierarchical Sparse Vector Transmission
• Ultra-Reliable Low-Latency Communication
• Multi-user URLLC
• Sparse Vector Transmission
• Block Error Rate