Genetic Algorithm based Resource Allocation for V2X Communications
Ibtissem Brahmi, Hend Koubaa, Faouzi Zarai
Abstract
Vehicle-to-Everything (V2X) networks were introduced by the Third Generation Partnership Project (3GPP) in Long Term Evolution (LTE) Release 14 and Release 15 in order to improve traffic safety and increase the transport systems efficiency. For V2X communications, an efficient radio Resource Bloc (RB) allocation and power control schemes are demanded to accommodate the increasing number of vehicular devices and their growing demand for data traffic. To this end, we propose a Genetic Algorithm (GA) based resource allocation scheme for V2X networks, which aims to maximize the total throughput of the system while guaranteeing Quality of Service (QoS) for both Cellular User Equipments (CUEs) and Vehicle User Equipments (VUEs). Preliminary, numerical results are done by MATLAB software in order to verify the effectiveness of our proposed scheme. These results based on a comparison to the Optimal Capacity Resource Allocation (OCRA) represent the effectiveness of our proposed GA resource allocation scheme for V2X communications, since it gives us a result close to the OCRA algorithm.