UP	Paper 1466	US-M-U	DOWN
Spectrum Characterization for Opportunistic Cognitive Radio Systems
Yucek,Tevfik		University of South Florida
Arslan,Huseyin		University of South Florida
Spectrum sensing is one of the most challenging problems in cognitive radio systems. The spectrum of interest needs to be characterized and unused frequencies should be identified for possible exploitation. This process, however, should be computationally simple and fast in order to catch up with the changing transmission parameters. This paper proposes a sensing method for identifying the unused spectrum for opportunistic transmission by estimating the RF transmission parameters of primary users. The primary users are identified by matching the a priory information about their transmission characteristics to the features extracted from the received signal. The application of the proposed sensing method to WiMAX mobile stations for finding the active channels during initial network entry is also discussed as a case study.
Tevfik Yücek received his BSc degree in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 2001, and his MSc. degree in Electrical Engineering from University of South Florida in 2003. Currently, he is working toward his PhD. degree in Electrical Engineering at University of South Florida. During his graduate studies, he has worked as teaching assistant for numerous graduate and undergraduate level courses. His research interests are in signal processing techniques for wireless multi-carrier systems. Mr. Yücek is student member of IEEE.