Predicting link quality of wireless channel of vehicular users using street and coverage maps

Limited radio resources and increasing user demands make wireless resource allocation a challenging task. As a user moves, his channel quality varies significantly depending on his location. In this paper we show that wireless link quality can be predicted on a large time scale in terms of Path Loss values by using street and coverage maps. The predicted wireless link quality information can be used by the network operators for optimized resource allocation. The feasibility of the proposed approach is demonstrated by extensive simulations advocating this data driven approach for channel prediction.