Quantum-based Offloading Strategy for Intelligent Vehicle Network

M S MEKALA, Haolin Zhang, Ju H. Park, Ho-Youl Jung

Abstract: Role of RSUs become essential in enhancing the service reliability rate of the end vehicle to strengthen autonomous vehicle technology. Computation-intensive services are delay-sensitive, and most existing ^method^sattempted comprehensively to meet the application deadline but have not reached the expectations due to classical computing. In this regard, we design a novel offloading decision-making method based on quantum theory through reinforcement learning. Grover's algorithm is employed to select a feasible device based on cost and energy usage probability ratio. Theoretical and mathematical validations and simulation outcomes confine the impact of novel decision-making methods on the statistical constraints of the heterogeneous framework.