  Ultra reliable and low latency communication (URLLC) is a newly introduced
service category in 5G to support delay-sensitive applications. In order to
support this new service category, 3rd Generation Partnership Project (3GPP)
sets an aggressive requirement that a packet should be delivered with 10^-5
packet error rate within 1 ms transmission period. Since the current wireless
transmission scheme designed to maximize the coding gain by transmitting
capacity achieving long codeblock is not relevant for this purpose, a new
transmission scheme to support URLLC is required. In this paper, we propose a
new approach to support the short packet transmission, called sparse vector
coding (SVC). Key idea behind the proposed SVC technique is to transmit the
information after the sparse vector transformation. By mapping the information
into the position of nonzero elements and then transmitting it after the random
spreading, we obtain an underdetermined sparse system for which the principle
of compressed sensing can be applied. From the numerical evaluations and
performance analysis, we demonstrate that the proposed SVC technique is very
effective in URLLC transmission and outperforms the 4G LTE and LTE-Advanced
scheme.
