Date Added: Dec 2010
Long Term Evolution (LTE) is a cellular technology developed to support data traffic at potentially high rates. It is foreseen to extend the capacity and improve the performance of current 3G cellular networks. A key mechanism in the LTE traffic handling is the packet scheduler, which is in charge of allocating resources to active flows in both the frequency and time dimension. In this paper, the authors present a performance comparison of three distinct scheduling schemes for LTE uplink with main focus on the impact of flow-level dynamics resulting from the random user behaviour. They apply a combined analytical/simulation approach which enables fast evaluation of flow-level performance measures.