DEVS-based modeling of cached and segmented video download algorithms in LTE-A cellular networks

Cellular networks have witnessed increasing demands for higher data rates in the recent years. Satisfying these demands presents a challenge for cellular network operators. Video traffic plays a major role in this, as it accounted for more than half of the data traffic on cellular networks recently. Device-to-Device (D2D) communication, introduced by the Long Term Evolution-Advanced (LTE-A) standard, allows direct communication between User Equipments (UE) in the network. We proposed cached and segmented video download algorithms that employ D2D communication to improve the throughput of video transmission over LTE-A cellular networks. Here, we present the Modeling and Simulation (M&S) of an LTE-A network that implements the proposed algorithms. We used the Discrete Event System Specification (DEVS) formalism to model the network. Simulation results show that significant improvements are achieved by the proposed algorithms in terms of the average and aggregate data rates