MAP-RP: Map-based resource reselection procedure for autonomous LTE-V2V

Vehicle-to-everything (V2X) communications may radically change the transportation system allowing a real-time and highly reliable exchange of information, which can be processed by vehicles in the neighborhood or by the road-side infrastructure to enable safety, mobility and environmental applications. In this context, 3GPP-based cellular networks, and especially long term evolution (LTE), are offering progressively higher performance and enabling a wider set of operations. To this aim, vehicle-to-vehicle (V2V) has been recently added as a new feature to LTE, but the usage of radio resources still needs to be optimized and is subject of extensive research activities. In this work, we focus on autonomous V2V resource reselection schemes, which allow communications also in out-of-coverage areas, we propose MAP-RP, a reselection procedure based on the embedding of a map of resources, as detected by each receiving vehicle, in the broadcasted packet, and we compare it to two sensing-based benchmark algorithms found in the literature. Results are achieved through simulations performed on a realistic highway scenario and demonstrate that the proposed solution guarantees a lower update delay and allows to achieve up to 20% of improvement in terms of packet reception ratio, with respect to the best-performing benchmark algorithm.