Self-Similarity and modeling of LTE/LTE-A data traffic

Forecasting and modeling the network traffic can help optimize it further. Extensive work has been done on Self-Similarity of Ethernet and Ad-Hoc networks data traffic as Self-Similar time-series can be forecasted. This work emphasizes the Self-Similarity of fast growing LTE and LTE-A networks which was left un-explored. It demonstrates Self-Similarity in live LTE and LTE-A networks data traffic. The degree of Self-Similarity is also evaluated and compared. Traffic modeling is very important in optimizing the network with efficient utilization of resources. Modeling of user arrival in live LTE network is performed in this work, which is important since the incoming users are predominantly using data traffic compared to that of traditional voice traffic.