报告题目：Benefits of Coding on Age of Information in Broadcast Networks

报告人：陈星燃  博士  美国宾夕法尼亚大学

报告时间：2019年08月05日（星期一）上午10:30-11:30

报告地点：beat365官方网站3楼学术报告厅（南区学生二食堂后前行100米）

主办单位：beat365官方网站

报告摘要： 

       Age of Information (AoI) is studied in two-user broadcast networks with feedback, and lower and upper bounds are derived on the expected weighted sum AoI of the users. In particular, a class of simple coding actions is considered and within this class, randomized and deterministic policies are devised. Explicit conditions are found for symmetric dependent channels under which coded randomized policies strictly outperform the corresponding uncoded policies. Similar behaviour is shown numerically for deterministic policies.

报告人简介：

陈星燃，男，汉族。2015年获中南大学统计学(statistics)学士学位；2018年获宾夕法尼亚大学(University of Pennsylvania)应用数学与计算科学(Applied Mathematics and Computational Science)硕士学位；现为宾夕法尼亚大学电气与系统工程学院(Department of Electrical and Systems Engineering)在读博士生，其专业为信息与决策系统(Information and Decision Systems)，研究领域为物联网 (Internet of Things, IoT)，侧重于Age of Information, resource allocation, random access channel。研究工具涉及信息与编码理论(Information and Coding Theory)、凸优化(Convex Optimization)、博弈论(Game Theory)、控制论(Control Theory)。个人主页为https://sites.google.com/seas.upenn.edu/xingranc。