Friday, April 19, 2013 - 8:45am to 9:45am
KEC 1007

Speaker Information

Stefano Rini
Postdoctoral Fellow
Department of Electrical Engineering
Stanford University


Cognition in wireless networks refers to the ability of smart devices to acquire information on the neighboring nodes by overhearing the transmission taking place over the channel. The broadcast nature of the wireless medium and recent advances in the radio capabilities of wireless devices make cognition an attractive way of increasing network performance and capabilities without increasing the need for more spectrum or additional transmit power. Hence, cognition provides a "green" spectrum-efficient mechanism to enhance the capabilities of wireless networks. In this talk, we begin by characterizing the information theoretical limits on the rate advantages provided by cognition in wireless networks and successively apply the insight provided by these results to practical designs.

Speaker Bio

Stefano Rini received the B.A. degree in computer science from the Politecnico di Milano, Italy, in 2005, the M.S. degree in both Electrical and Computer Engineering and Statistics from the University of Illinois at Chicago (UIC) in 2009. He earned his doctoral degree in Electrical and Computer Engineering at the University of Illinois in Chicago (UIC) in 2011, with advisor Professor Tuninetti and collaborating with Professor Devroye with a thesis with title “Cognition and cooperation in wireless networks: an information theoretic perspective.” In 2012 he was a a postdoctoral fellow at the Institute for Communications Engineering at the Technical University of Munich (TUM), Germany with Professor Kramer. He is currently a postdoctoral fellow at the Department of Electrical Engineering at Stanford University with Professor Goldshmith. He also colloborates with Professor Hemmert and the Bernstein Center for Computational Neuroscience Munich (BCCNM), Germany, in the development of choclear implants. He is an active researcher in multi-user information theory, communication theory, coding theory and computational neuroscience. He received the best paper award at 2012 APSIPA Annual Summit and Conference and has been recognized as an Exemplary Reviewer in 2012 by IEEE Communication Letters.