LAUSR

With the rapid growth of traffic demand for vehicular data transmissions, the limited cellular band becomes a constraint to meet the needs of all cellular-vehicle-to-everything (C-V2X) users. In this paper, we investigate an efficient clustering-based spectrum resource management scheme for dynamic heterogeneous vehicular networks. Due to the frequent changes of channel state information (CSI) caused by high mobility of vehicles, the traditional radio resource management scheme based on complete CSI is no longer applicable. To solve this problem, we consider different quality of service (QoS) requirements for vehicular communications and propose an optimization problem for C-V2X networks. The proposed dynamic vehicular optimization strategy is carried out on the vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) links, which can construct a more realistic two-way lane in actual communication environments. We also propose a low-complexity vehicle matching algorithm based on large-scale fading to improve the stability of communication links. The desirable performance is confirmed by computer simulations.