Enhanced Sensing-Based Resource Scheduling Algorithm for 5G V2V Communications

Vehicle-to-vehicle (V2V) communication is regarded as a promising technology in the intelligent transportation system to improve road safety and traffic efficiency. The most widely used resource scheduling algorithm in V2V communications is sensing-based semi-persistent scheduling (SPS) algorithm. However, traditional sensing-based SPS algorithm is challenged by lack of resource preemption and reselection mechanisms to satisfy the diverse performance requirements of the fifth generation (5G) V2V services. In this paper, an enhanced sensing-based resource scheduling algorithm is proposed for 5G V2V communications. Specifically, in order to guarantee the stringent performance requirements of the V2V services with higher priorities, a priority-based resource preemption mechanism is given. Then, a resource sensing and one-shot reselection mechanism is proposed to avoid resource collision of diverse services. The system level simulation results suggest that the proposed algorithm outperforms traditional sensing-based SPS algorithm, and the maximum gain of average packet reception ratio can achieve 5% in highway case.