Stationary Transformation of Video Traffic in LTE Networks

In recent years, digital communication and telecommunication have gained immense usage and introduced several innovative services (e.g. video conferencing, online banking, e-Health, etc) that change the life of people. By 2020, some telecommunication providers expect to have 50 Billion devices connected to each others. The whole world is getting closely connected with the new telecommunication technologies especially the Mobile broadband technology. The expectations indicate that not only human will be connected but also devices and machines will be connected communicating altogether through the Mobile broadband technology. These tremendous improvements in telecom will introduce new and innovative services that touch every small detail of people´s life. Consequently, telecom networks will become more complex, involve more resources, and demand more requirements. Thus, network optimization will be crucial to avoid wasting the resources and ensure service availability and network efficiency. To help achieving that, network operators require intelligent methods to understand the ongoing traffic and services characteristics in order to control and forecast the live/ongoing traffic. In LTE networks, video traffic makes up the largest segment of data traffic. This paper discusses the video traffic characteristics in LTE networks, checks the stationarity status of the LTE video traffic and presents a method to transform the non-stationary LTE video traffic to stationary data.