Vehicular networks are a cornerstone of the envisioned intelligent transportation system (ITS) by enabling vehicles to\ncommunicate with each other via vehicle-to-vehicle (V2V) communications to overcome the current and future needs\nfor increasing traffic safety and efficiency. In this paper, we employ the knapsack problem (KP) to formulate the\nproblem of cooperative scheduling and radio resource management in vehicular networks for non-real time services.\nFor the sake of maximizing sum utility (MSU) of the networks, we propose two-dimensional-multi-choice knapsack\nproblem (2D-MCKP)-based scheduling scheme to select the coordinator vehicles for the sink vehicle and allocate\nradio resource to V2V and vehicle-to-infrastructure (V2I) links to solve the MSU optimization problem. Simulation\nresults indicate that the proposed scheme significantly improves the average utility and average data rates with\nsustainable computational complexity. Moreover, the designed cooperative communication system achieves higher\nspectral efficiency and better fairness.
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