Leverage Big Data for 4G LTE
Monday, March 24, 2014 – ( 5:00 pm to 6:00 pm )
Location: Babbio 104
BI&A — Small Talks about Big Data
Big Data and LTE (Long Term Evolution) are two hot topics in data science and wireless communications. Is there a synergy effect between the two techniques? Traditionally various simulation based approaches are developed to study wireless network performance and capacity. However simulation has its own limitations in supervised and unsupervised learning. Since big data becomes more available, is it possible to leverage big data algorithms to study LTE network performance?
This presentation studies the performance problems on 4G LTE networks from the aspect of data analytics and statistical modeling. A methodology of data analytics and modeling is developed to evaluate 4G LTE network performance based upon traffic measurements and service growth trends. The new methodology overturns the traditional simulation approaches in wireless communications and provides an opportunity to both industry and academia to study wireless network performance by leveraging data analytics techniques.
Dr. Ye Ouyang is a Distinguished Member of Technical Staff-Mobile Network Analytics at Verizon Wireless Headquarters USA. His research interest is in big data analytics and quantitative modeling for wireless networks, with a focus on 2G/3G/4G LTE network performance, network capacity, traffic patterns, user behaviors, and network service quality etc. by leveraging data analytics, network simulation, statistical modeling, machine learning, and data mining techniques. He holds a Bachelor of Engineering from Southeast University in China, a Master of Science from Tufts University in Massachusetts USA, and a Doctor of Philosophy from Stevens Institute of Technology in New Jersey USA. Dr. Ouyang authored 20+ academic papers, 3 book chapters, and 4 US Patents.