论文标题
稀疏向量传输：一个想法已经到了
Sparse Vector Transmission: An Idea Whose Time Has Come
论文作者
论文摘要
近年来，我们目睹了由人工智能技术提供动力的车辆，机器人，传感器和机器的各种自动化服务和应用。与这些服务相关的沟通机制与以人为中心的交流完全不同。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。鉴于短数据包的传输，由于浪费资源，大量解码延迟和昂贵的运营成本，依靠当今的传输机制不会有效。在本文中，我们介绍了稀疏向量传输（SVT）的概述，该方案是在稀疏转换后传输短尺寸信息的方案。我们讨论了SVT的基础知识，两种不同的SVT策略，即，频率域稀疏传输和稀疏的向量编码，并详细操作，还证明了在逼真的无线环境中的有效性。
In recent years, we are witnessing bewildering variety of automated services and applications of vehicles, robots, sensors, and machines powered by the artificial intelligence technologies. Communication mechanism associated with these services is dearly distinct from human-centric communications. One important feature for the machine-centric communications is that the amount of information to be transmitted is tiny. In view of the short packet transmission, relying on today's transmission mechanism 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 the sparse vector transmission (SVT), a scheme to transmit a short-sized information after the sparse transformation. We discuss basics of SVT, two distinct SVT strategies, viz., frequency-domain sparse transmission and sparse vector coding with detailed operations, and also demonstrate the effectiveness in realistic wireless environments.
