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.

[1]  H. Ekstrom.  QoS control in the 3GPP evolved packet system , 2009, IEEE Communications Magazine.

[2]  Mohamed Hefeeda,et al.  Adaptive Transmission of Variable-Bit-Rate Video Streams to Mobile Devices , 2011, Networking.

[3]  Jun Li,et al.  VBR MPEG Video Traffic Dynamic Prediction Based on the Modeling and Forecast of Time Series , 2009, 2009 Fifth International Joint Conference on INC, IMS and IDC.

[4]  Richard A. Davis,et al.  Introduction to time series and forecasting , 1998 .

[5]  Debabrata Das,et al.  La VoLTE: Novel Cross Layer Optimized Mechanism of Video Transmission over LTE for DRX , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).

[6]  Tian Hui,et al.  A QoS-Guaranteed Adaptive Resource Allocation Algorithm with Low Complexity in OFDMA System , 2006, 2006 International Conference on Wireless Communications, Networking and Mobile Computing.

[7]  Hao Wang,et al.  Efficient Multiple-Link Adaptive Bandwidth Provisioning for End-to-End Quality of Service Guarantee , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

[8]  Preben E. Mogensen,et al.  Combined Admission Control and Scheduling for QoS Differentiation in LTE Uplink , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[9]  Akira Miura,et al.  A proposal for a mobile communication traffic forecasting method using time-series analysis for multi-variate data , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..