The increasing demand for wireless connectivity and the scarcity of spectrum for exclusive use has popularized the idea of sharing spectrum between multiple communication systems with the goal of improving coexistence of communicating networks with arbitrary geographical coverage such as LTE-Unlicensed and WiFi, radars and WiFi, etc. Wireless networks could efficiently co-exist by avoiding interference from neighboring, or incumbent, networks, by exploiting knowledge of spatial, spectral, and temporal usage patterns of its neighboring radios. However, this knowledge is not readily available due to lack of cooperation between co-existing networks. What makes this problem difficult is that radios have to make inferences about spectrum usage based on simple measurements of radio signals such as energy and raw samples. In this talk, we will discuss a learning based approach to this problem and propose a set of algorithms for inferring non-cooperative radio footprints, wireless network topology and identification of individual radio fingerprints. We will discuss how this framework can be used to improve sensing schedules, access strategies, routing, localization and security.
Danijela Cabric is Professor in the Electrical and Computer Engineering Department at the University of California, Los Angeles. Her research interests include novel radio architectures, signal processing, communications, machine learning and networking techniques for cognitive radio, 5G and massive MIMO systems. Dr. Cabric received the Samueli Fellowship in 2008, the Okawa Foundation Research Grant in 2009, Hellman Fellowship in 2012 and the National Science Foundation Faculty Early Career Development (CAREER) Award in 2012. She served as an Associate Editor in IEEE Journal on Selected Areas in Communications (Cognitive Radio series) and IEEE Communications Letters, and TPC Co-Chair of 8th International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM) 2013. She is now an Associate Editor of IEEE Transactions of Cognitive Communications and Networking, IEEE Transactions on Wireless Communications and IEEE Transactions on Mobile Computing. She is a Senior Member of IEEE and ComSoc Distinguished Lecturer.