Adaptive V2X User Selection and Resource Allocation for Ultra-Dense 5G HetNet Network

5G network is considered as an Heterogeneous networks (HetNets) able to support a multitude of new services, where performance requirements will be extremely polarized. In this context, several key issues for 5G communications should be considered to satisfy Quality of Service (QoS) requirements. Vehicle-to-Everything (V2X) user selection and resource allocation are considered as an important key issues for Internet of Things (IoT) communications. In this paper, we propose an Adaptive V2X users selection and resource allocation for Ultra-Dense 5G HetNet network (AU-HetNet). AU-HetNet consists on two stages; Vehicle Selection Stage (VSS) and Adaptive Resource Allocation Stage (ARAS). The first stage defines the selected vehicle that will be served based on an utility function results to designate the set of candidate vehicles and a maximum throughput of each vehicle. The second stage concerns the adaptive resource allocation model which is based on QoS priority in order to privilege real time and non-real-time traffics. Our work aims to enhance system model performances in terms of resource utilization ratio, dropped request probability, and total average throughput.