LAUSR

Vehicular networking has become a major pillar of the coming 5G ecosystem. In this article, we provide a novel perspective for 5G enabled vehicular networking: statistical signal transmission technology (SSTT). SSTT is a technique that exploits statistical features of ordinary signals to carry extra information data. It works parasitically inside the underlying transmission technologies without supplementary bandwidth cost. Depending on its inherent property (statistical form), SSTT can sustain strong robustness under various communication environments. Particularly, due to the Doppler tolerance, SSTT possesses reliable performance under high-mobility communication scenarios. Based on the traits of embedded transmission and mobile adaptability, SSTT can support additional functionalities in corresponding scenarios without too many amendments or too much overhead, which facilitates the evolution of vehicular networking. In this article, we present the basic workflow and detection principle of SSTT. We also provide numerical evaluations thereafter, which confirm SSTT's ability in vehicular communication scenarios. Based on the works above, discussions and analyses are drawn to reveal several promising directions for SSTT toward 5G vehicular networking.