Performance Analysis of Scheduling Algorithms in Simulated LTE Network

Abstract

The ongoing widespread use of mobile devices has boosted demand for accessibility to ecommerce, social media, and entertainment applications anywhere, at any time. Mobile traffic that was traditionally voice-only is now dominated by video and data owing to applications like live video streaming, Netflix, Facebook, Twitter, and mobile browsing. As the number of subscribers grows, so too does the demand for an enhanced user experience with differentiated service levels. To achieve this, the LTE network elements must incorporate techniques to manage diverse traffic characteristics of the growing range of multimedia applications and services. Analysing the performance of the LTE network can enable the efficient deployment and optimization. In this paper we analyse the performance of the LTE network, in terms of average throughput and delay, under different traffic models, real and non-real time traffic, when the number of users is increased. These analyses we make help us understand how the requirement of the network vary, as the traffic generated by different users change, in order to have a propriate deployment, optimization and techniques used to guarantee best user experience. Further in the paper, we do analyse, different scheduling schemes and the effect that each algorithm has in the network under different traffic models. The estimation is done in terms of average user and cell throughput, delay, and fairness.