Adaptive V2X platform for guaranteed QoS/QoE service based on cloud computing and deep reinforcement learning

Abstract

An industry where technology pushes behind and the market pulls ahead succeeds. In this repect, autonomous driving is a global industry that is rapidly growing in line with the advancement of wireless communication, vision, AI technologies and the smart infrastructure market, including automobiles. In particular, V2X technology is an international communication standard for providing autonomous driving services at the level of mobility 4.0. In this paper, we propose an adaptive V2X service methodology. Autonomous driving is a technology belonging to the MCS field which is directly connected to human life, so we provide enhanced QoS/QoE through proposed method which is guaranteed the real-time based on V2X standard.