Spatio-Temporal Spectrum Sensing for Cognitive Radio Networks

Abstract:

Inefficient utilization of radio spectrum is a well known issue. To address this problem, cognitive radio techniques have been getting significant attention in the research community, and it is now clear that future wireless devices will be equipped with spectrum sensing modules. Much of the previous work on spectrum sensing for cognitive radio, while extremely valuable and important for establishing a foundation for this field, has not addressed the full potential of spectrum sensing, since it focuses on a very narrow problem of the detection of the signal presence. In this talk, I will introduce a much more comprehensive approach for full characterization of RF environment in terms of temporal and spatial features. We will explore algorithms and architectures of spectrum sensing networks for joint detection and estimation of signal parameters, modulation type and location of non-cooperative primary users of the spectrum. In order to understand design trade-offs in terms of accuracy, complexity and energy efficiency, the presentation will discuss algorithm design and theoretical performance analysis together with experimental results obtained via hardware implementation.

Short biography

Danijela Čabrić received the Dipl. Ing. degree from the University of Belgrade, Serbia, in 1998, M.S. degree in electrical engineering from the University of California, Los Angeles, in 2001 and Ph.D. degree in electrical engineering from the University of California, Berkeley, in 2007. In 2008, she joined the faculty of the Electrical Engineering Department at the University of California, Los Angeles as an Assistant Professor. Danijela Čabrić is the director of the Cognitive Reconfigurable Embedded Systems Lab, which focuses on all modern radio technologies, with an emphasis on systems that enable more efficient utilization of the spectrum. She was awarded Samueli Fellowship in 2008, Okawa Foundation research grant in 2009 and NSF CAREER award in 2012.