A Vehicle Density based Two-Stage Resource Management Scheme for 5G-V2X Networks

Over the past few years, industry and academia have worked hard to develop and standardize vehicle-to-everything (V2X) communication, which is one of the important emerging service for next-generation wireless networks (5G). Thereby, to manage radio resource efficiently with realistic execution complexity, a vehicle density based two-stage resource management scheme for 5G-V2X network is presented in this paper, whose key targets are to reduce latency, improve throughput and guarantee reliability for V2V-UEs and V2N-UEs. Particularly, during the first level, the resource distribution strategy depend on vehicles density information (VDI), that is different compared to channel state information (CSI) and queuing state information (QSI) used during the second level by considering buffer state information. Two efficient resource management algorithms are presented that grants the optimum resource distribution for V2N-UEs and V2V-UEs. Simulation experiments reveal the promising performance of proposed scheme compared with existing scheme.