题目：大数据驱动的移动网络优化 Data-driven Cloud-RAN Optimization
主讲人：Thi-Mai-Trang NGUYEN, 法国索邦大学 副教授
时间：2019年7月26日 星期五 16:00-17:00
报告摘要：The fast growing mobile network data traffic poses great challenges for operators to increase their data processing capacity in base stations in an efficient manner. With the emergence of Cloud Radio Access Network (Cloud-RAN), the data processing units can now be centralized in a data center and shared among several base stations. By clustering base stations with complementary traffic patterns to the same data center, the deployment cost and energy consumption can be reduced. In this work, we first characterize the complementarity among base stations using traffic profile and an entropy-based metric. Second, we build a graph with the complementarity as link weight and propose a distance-based complementarity-aware clustering algorithm to find optimal base station clustering schemes. We evaluate the performance of our framework using two months of real-world mobile network traffic data in Milan, Italy.
报告人简介：Dr. Trang Nguyen is Associate Professor in Computer Science at Sorbonne University, France since 2006. She's got the PhD degree in Computer Science in 2003 from University of Paris 6 in collaboration with Telecom-ParisTech, and spent 2 years of postdocs at France Telecom and University of Lausanne, Switzerland. Dr. Nguyen was the scientific leader of LIP6 in the EU FP7 4WARD project on Future Internet archiecture design. She was also visiting professeur at George Mason University (USA), Universidade Federal do Rio de Janeiro (Brazil), Universidade Federal de Minas Gerais (Brazil) and visiting researcher at LINCS-Paris (Laboratory of Information, Networking and Communication Sciences). Her research interests include Future Internet and mobile wireless networks.
© 2019 厦门大学信息学院 版权所有