  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.
