ECE Graduate Seminar
You are cordially invited to attend the following seminar:
Department of Electrical & Computer Engineering
Old Dominion University
High Performance MAC Protocol for
Coexisting Cognitive Radio Networks
Dr. Min Song
Electrical Engineering and Computer Science Dept.
The University of Toledo
Friday, October 18, 2013
3:00 p.m. KH 224
Host: Dr. Xin
Today’s static spectrum access policy grants a fixed spectrum band to each licensed user for exclusive access. With the rapidly proliferated wireless applications, this policy is exhausting the spectrum and causing a large number of spectrum bands to be under-utilized. As a result, the finite radio spectrum significantly falls short of the ever-increasing demand. This spectrum shortage has drawn attention from the White House. In June 2010, the President of the United States issued a memorandum, which calls on the Federal Government to identify 500 MHz of spectrum to be made available for wireless broadband use. Cognitive radio is viewed as a disruptive technology innovation to improve spectrum efficiency. The deployment of coexisting cognitive radio networks, however, raises a great challenge to the medium access control (MAC) protocol design. While there have been many MAC protocols developed for cognitive radio networks, most of them have not considered the coexistence of cognitive radio networks, and thus do not provide a mechanism to ensure fair and efficient coexistence of cognitive radio networks. In this talk, I will present a novel MAC protocol, termed fairness-oriented media access control (FMAC), to address the dynamic availability of channels and achieve fair and efficient coexistence of cognitive radio networks. Different from the existing MACs, FMAC utilizes a three-state spectrum-sensing model to distinguish whether a busy channel is being used by a primary user or a secondary user from an adjacent cognitive radio network. As a result, secondary users from coexisting cognitive radio networks are able to share the channel together, and hence to achieve fair and efficient coexistence. An analytical model using two-level Markov chain was developed to analyze the performance of FMAC including throughput and fairness. Numerical results verify that FMAC is able to significantly improve the fairness of coexisting cognitive radio networks while maintaining a high throughput. In this talk, I will also present some funding opportunities for wireless research at NSF.
Min Song is a Professor in the Electrical Engineering and Computer Science Department at the University of Toledo. Currently, he is serving the National Science Foundation (NSF) as a Program Director. Dr. Song received his PhD in Computer Science from the University of Toledo in 2001. Over the years, he has published more than 130 technical papers. Dr. Song is the recipient of NSF
Posted By: Linda Marshall
Date: Mon Oct 14 10:37:29 EDT 2013