| Cognitive Wireless Systems: Theory and Implementation | |
|---|---|
| Cabric, Danijela ORGANIZER: Pandharipande, Ashish | |
| A cognitive wireless system is a communication system comprising of radios that can intelligently adapt to their environment (e.g., radio resource use adapted to RF spectrum). This session will focus on technologies central to cognitive wireless systems and practical aspects of implementation. Papers in the session present methods for spectrum sensing and geo-location, discuss cognitive radio models, architectures and implementation, and present policy-based reasoning algorithms for networking. | |
| Dr. Ashish Pandharipande received the B.E. degree in Electronics and Communications Engineering from Osmania University in 1998. He pursued his graduate education at the University of Iowa, Iowa City, where he received the M.S. degrees in Electrical and Computer Engineering and Mathematics in 2000 and 2001 respectively, and the Ph.D. degree in Electrical and Computer Engineering in 2002. Since then he was a post-doctoral researcher at University of Florida and then senior researcher at Samsung Advanced Institute of Technology. He has held visiting positions at the AT&T Shannon Laboratories, NJ, and the Electrical Communication Engineering Department, IISc, Bangalore. His research interests are in the areas of MIMO and Multicarrier wireless systems and signal processing and cognitive wireless systems. | |
| Danijela Cabric received the Dipl. Ing. degree from the University of Belgrade, Yugoslavia, in 1998 and the M.S. degree in electrical engineering from the University of California, Los Angeles in 2001. She is currently working toward the Ph.D. degree at the University of California at Berkeley, where she is a member of the Berkeley Wireless Research Center. Her current research interests include cognitive radio physical layer design and multiple antennas system implementation. In particular, she is interested in novel architecture and signal processing algorithms for wideband radios such as spectrum sensing, spatial filtering and adaptive modulations. |