报告时间：7月9日上午09:00-10：30

报告地点：D125实验室

报告题目：Synergy of Big Data and 5G Wireless Networks: Opportunities, Approaches, and Challenges

报告摘要：This report presents the synergistic and complementary features of big data and 5G wireless networks. An overview of their interplay is provided first, including big-data-driven networking and big data assisted networking. The former exploits heterogeneous resources such as communication, caching, and computing in 5G wireless networks to support big data applications and services, by catering for big data's features such as volume, velocity, and variety. The latter leverages big data techniques to collect wireless big data and extract in-depth knowledge regarding the networks and users to improve network planning and operation. To further illustrate the mutual benefits, two case studies on network aided data acquisition and big data assisted edge content caching are provided. Finally, some interesting open research issues are discussed.

报告人简介：张宁，美国德克萨斯A&M大学计算机科学系助理教授。2015年获得加拿大滑铁卢大学电子计算机工程博士学位，之后担任加拿大滑铁卢大学博士后研究员，现主要从事于无线通信与网络，网络虚拟化，机器学习和物理层安全方向的研究。张宁博士在IEEE Wireless Communications、IEEE Journal Selected Areas of Communications、IEEE Transactions on Vehicular Technology、 IEEE Transactions on Communications等期刊发表学术论文50篇， IEEE MASS、IEEE Globecom、IEEE ICC等多个国际会议发表论文26篇，参与编辑书籍5部，并曾担任IET Communications, IEEE Access等期刊主编助理，Distributed Sensor Networks, Special Issue on Sustainable Cognitive Radio Sensor Networks等国际期刊 主编。