Enhanced sparse vector coding with limited pilot overhead for short packet transmission

With emerging trends in the internet-of-everything (IoE), there is a huge demand for transferring the data continuously to provide a seamless connection between autonomous devices. Undoubtedly an efficient way of handling short packets in ultra-reliable and low latency communication (URLLC) and massive machine-type communication (mMTC) scenarios is of utmost interest. To reduce the pilot overhead in such a short packet transmission, we propose a suitable scheme where the sparse vector is scaled by the fading channel. In this formulation, the sensing matrix will be the pseudo-random spreading matrix and the transmitted signal vector is modified with the channel. Decoding of the short packet at the receiver can be done first by identifying the support positions, for which no channel information is required, and estimating the symbols at nonzero positions. Further, in order to increase the reliability of the proposed scheme, single input multiple output (SIMO) configuration is also investigated.