In recent years, we have witnessed a bewildering variety of automated services and applications involving vehicles, robots, sensors, and machines powered by artificial intelligence (AI) technologies. Communication mechanisms associated with these services are clearly distinct from human-centric methods. One important feature of machine-centric communication is that the amount of information to be transmitted is tiny. In view of the short packet transmission, relying on today's transmission mechanisms would not be efficient due to the waste of resources, large decoding latency, and expensive operational cost. In this article, we present an overview of sparse vector transmission (SVT), a scheme to transmit short pieces of information after sparse transformation. We discuss the basics of SVT and two distinct SVT strategies [frequency-domain sparse transmission (FDST) and SV coding (SVC)] and demonstrate their effectiveness in realistic wireless environments.

中文翻译：

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稀疏向量传输：一个时代到来的想法

近年来，我们目睹了各种令人眼花缭乱的自动化服务和应用，涉及车辆、机器人、传感器和由人工智能 (AI) 技术驱动的机器。与这些服务相关的通信机制明显不同于以人为中心的方法。以机器为中心的通信的一个重要特征是要传输的信息量很小。针对短数据包传输，依赖当今的传输机制，资源浪费、解码延迟大、运营成本高，效率不高。在本文中，我们概述了稀疏向量传输 (SVT)，这是一种在稀疏变换后传输短信息的方案。