Performance Estimation in V2X Network

5G networks have developed to be a new technology which is helping telecom networks advance faster. Further-more,as compared to earlier networks, 5G networks improve performance of the network while bringing down network complexity.Deep learning is a method for detecting anomalies in wireless networks, doing predictive analytics, predicting lifetime value,and other tasks.Its efficiency of training examples determines its performance [1]. Deep Learning is built to operate with massive datasets and employs a sophisticated datasets algorithm fo rmodel training. As outliers in the raw data diminish model reliability,the project’s goal is to lessen the influence of outliers in these models.