学术报告
同济大学计算机科学与技术系智信讲坛第(86)期
题目：Medium Access Control for Dynamic Spectrum Access
报告人：MinSong
时间：2017年4月10日周一下午 14:30
地点：电信楼403
组织单位：计算机科学与技术系
邀请人：吴俊教授
报告人简介：
Dr. Min Song served as Program Director with the NSF from 2010 to 2014. Currently he is the Founding Director of the Institute of Computing and Cybersystems, Dave House Professor and Department Chair of Computer Science, and Professor of Electrical and Computing Engineering at Michigan Tech. Min’s professional career comprises 27 years in government, academia, and industry. His research interests include design, analysis, and evaluation of wireless communication networks, network security, cyber physical systems, and mobile computing. During the past 15 years, Min has secured more than $3.4 million in research funding from NSF, DOE, NASA, and private foundations, and published more than 160 technical papers. Min was the recipient of NSF CAREER award in 2007. He is currently serving as the IEEE Communications Society Director of Conference Operations.
内容提要：
In this talk, Dr. Min Song will present two of his research papers on medium access control for dynamic spectrum access. The first paper introduces a novel dynamic spectrum co-access (DSCA) scheme that enables the primary users and secondary users to simultaneously access the licensed spectrum. With DSCA, secondary users incentivize the primary user through increasing the primary user’s performance so that secondary users can access the spectrum concurrently with the primary user. A mathematical model is developed to formulate the minimum incentives for spectrum co-access. Numerical results show that DSCA significantly improves performance compared with the current dynamic spectrum access scheme. The second paper introduces a lightweight near-optimal rendezvous algorithm (LORA) where secondary users rendezvous without relying on a common control channel. With LORA, secondary users form into node pairs distributed to different channels in a decentralized manner. The co-channel interference is minimized and the throughput is near optimal. Both analytical and simulation results indicate the high efficiency of LORA.
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