Collaborative Streaming System Design as an Underlay to Cellular Networks

主讲人：Changcheng Huang Carleton University，Canada  Full professor & Director of Advanced Optical Network Laboratory

时间：2017年7月4日13:30

地点：奉贤校区三教101

举办单位：信息与机电工程学院

主讲人简介：

Dr. Huang is a world-wide leading expert in self-similar traffic modeling, network reliability, advanced optical network architecture, wireless resource allocation. He received his B. Eng. in 1985 and M. Eng. in 1988 both in Electronic Engineering from Tsinghua University, Beijing, China. He received a Ph.D. degree in Electrical Engineering from Carleton University, Ottawa, Canada in 1997. From 1996 to 1998, he worked for Nortel Networks, Ottawa, Canada where he was a systems engineering specialist. He was a systems engineer and network architect in the Optical Networking Group of Tellabs, Illinois, USA during the period of 1998 to 2000. Since July 2000, he has been with the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada where he is currently a full professor. Dr. Huang won the CFI new opportunity award for building an optical network laboratory in 2001. He is an associate editor of Springer Photonic Network Communications. Dr. Huang is a senior member of IEEE. He has published more than 80 refereed conference papers and more than 30 journal papers. He is also a co-inventor of 8 world patents.

内容简介：

Recently device-to-device (D2D) communication as an underlay to cellular networks has been introduced as a technology component to the Long Term Evolution Advanced (LTE-Adv). The short range of D2D transmission exploits reuse of frequency within a cell. In this work, we propose a collaborative streaming system where geographically closed peers form groups and then share the contents with other through D2D multicast mechanism. We present the optimal grouping problem as the stable admission assignment problem. We also propose a distributive algorithm that forms groups of suitable sizes to tackle the retransmission problem. We present mathematical model for peer grouping process that finds the relationship between two important measurements, number of groups and group sizes, affecting the bandwidth savings and streaming rate.