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Content downloading by mobile users is expected to significantly increase the cellular network load. Vehicular users, in particular, are likely to engage in information retrieval on the move: in this context, Intelligent Transportation Systems (ITS) can play an important role in offloading the cellular infrastructure. The authors investigate the effectiveness of ITS in this task, considering that RoadSide Units (RSUs) can exploit mobility prediction to decide which data they should fetch from the Internet and schedule transmissions to vehicles, either potential relays or down-loaders. Rather than presenting a specific prediction scheme, they propose a model that allows one to express and account for any prediction technique in a simple, yet effective, manner.
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