Optimization of LTE UE Gateway for Uplink video transmission

Abstract

Long Term Evolution (LTE) is the next step evolution of Third Generation Partnership Project (3GPP) for providing a technology that supports high speed up-link and down-link data rates. The term Internet of Things is a buzzword, where objects, commonly termed as things collect information and communicate them with the use of radio technologies. These objects can be anything; starting from a temperature sensor to a surveillance camera. This thesis work is based on optimizing the data transmission from a Video Camera (sensor) through a LTE User Equipment (UE) that act as a gateway to eNodeB.

The idea behind this work is to reduce the energy consumption of the UE gateway through proxy based traffic shaping mechanism termed as bundling. Our measurement results show that through the method of streaming with bundling, the UE can reduce its energy consumption from 44% to 60% for video bit rate of 500 kbps. We analysed the energy consumption for 250, 500, 750 and 1000 kbps video bit rates with varying environmental scenarios such as increase in Round Trip Time (RTT), Packet Loss in the Internet, UE mobility, and background traffic scenarios and found out that video streaming with bundling is the energy efficient approach for data transmission in LTE.