Localization-based resource selection schemes for network-controlled LTE-V2V

3GPP has recently introduced new features to the long term evolution (LTE) cellular technology enabling direct vehicle-to-vehicle (V2V) communications, also known as LTE-V2V. This new technology aims at supporting a large number of applications, most of them based on the broadcasting of periodic messages by all vehicles to inform the neighborhood about relevant information such as vehicle position, direction, and speed. Since resources are inevitably scarce and vehicles move relatively fast, the optimization of the LTE resource allocation represents a crucial topic of research. In this paper, we focus on network-controlled resource management based on the knowledge of the position of vehicles by the network and we propose an algorithm based on the concept of reuse distance. Apart from the ideal case where the position is perfectly estimated, the performance in terms of blocking rate, error rate and packet reception ratio is evaluated also in realistic cases where the position is known with some inaccuracy. In addition, a margin to the reuse distance is proposed to reach the maximum communication distance with a given quality of service. Results, obtained through simulations in a realistic highway scenario, show that there are minimum differences in terms of blocking rate between the different positioning errors, while there might be a significant worsening of the error rate. In addition, the use of an optimized margin is shown with the aim of improving the maximum communication distance of up to 20%.