Joint Radio and Computation Resource Allocation with Predictable Channel in Vehicular Edge Computing

Vehicular edge computing (VEC) is considered as a novel paradigm to enhance the safety of automated vehicles and intelligent transportation systems. The joint radio and computation resource allocation strategies are the key point of VEC, the effect of time-varying channel cannot be ignored during the task transmission period. This paper investigates the average transmission power minimization problem while stabilizing all transmission and computation queues under tasks QoS requirement constraints, in which the influence of time-varying channel on the resource allocation strategies is considered. By utilizing the vehicle channel predictability and Lyapunov optimization technique, the primal problem can be decomposed into two subproblems. The computation resource allocation subproblem can be solved easily. For the radio resource allocation subproblem, we transform it into a single variable problem and propose an algorithm to solve it. By utilizing the results of two subproblems, a joint radio and computation resource allocation (JRCRA) algorithm is proposed. The effect of small-scale fading on JRCRA algorithm is analyzed. The simulation results show that the proposed JRCRA algorithm can achieve better performance compared with the traditional greedy algorithm.