Cognition in Wireless Networks: from Information Theory to Practical Designs

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

Stefano Rini
Postdoctoral Fellow
Department of Electrical Engineering
Stanford University

Abstract:
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 Biography: 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 developme!
nt 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.
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