PREDICTION OF VIDEO QUALITY OVER LTE NETWORK

Abstract

Now-a-days social networking apps for calling and messaging has been increased enormously due to increase in population and availability of the data and growth in network speed. Most of the people choose these apps than normal calls. So, predicting the quality of the video call and customer feedback is very important. Here, we develop a model which is used for predicting quality and getting feedback from end users. In this project it gives a in-depth analysis of network parameters using NETSIM and also learn the process of transmission of data over the LTE network. QoE is required for estimating the quality of the Video call. Video processing and transmission systems are optimized and design by evaluating the QOE. Quality of Experience (QoE) must be measured so that a service provider can improve his network as of user feedback and compete with its competitors.  The main of this project is to improve the quality of the network. In this paper classification models are used which will provide better result than any other machine learning (ML) algorithm alone.