Joint allocation of wireless resource and computing capability in MEC-enabled vehicular network

In MEC-enabled vehicular network with limited wireless resource and computation resource, stringent delay and high reliability requirements are challenging issues. In order to reduce the total delay in the network as well as ensure the reliability of Vehicular UE (VUE), a Joint Allocation of Wireless resource and MEC Computing resource (JAWC) algorithm is proposed. The JAWC algorithm includes two steps: V2X links clustering and MEC computation resource scheduling. In the V2X links clustering, a Spectral Radius based Interference Cancellation scheme (SR-IC) is proposed to obtain the optimal resource allocation matrix. By converting the calculation of SINR into the calculation of matrix maximum row sum, the accumulated interference of VUE can be constrained and the the SINR calculation complexity can be effectively reduced. In the MEC computation resource scheduling, by transforming the original optimization problem into a convex problem, the optimal task offloading proportion of VUE and MEC computation resource allocation can be obtained. The simulation further demonstrates that the JAWC algorithm can significantly reduce the total delay as well as ensure the communication reliability of VUE in the MEC-enabled vehicular network.