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    Electrical and Computer Engineering Department

    ECE Colloquium


    ECE Colloquium March 10th at 11:00am, in the Hill Conference room (Lebow Engineering Center, room 240)

    Collaborative Spectrum Sensing for Cognitive Radios

    by Jarmo Lunden, Helsinki University of Technology

    Abstract:Spectrum utilization is currently becoming increasingly inefficient. Current spectrum regulation is based on a fixed allocation policy. The spectrum is divided into frequency bands each allocated to different system. Consequently, there is high demand for more flexible and efficient spectrum allocation. Cognitive radios have been suggested as an enabling technology for dynamic allocation of spectrum resources. Cognitive radios sense the radio spectrum in order to find opportunities for agile spectrum use. Moreover, spectrum sensing is critical for managing the level of interference caused to the primary (legacy) users of the spectrum. Through sensing cognitive radios acquire information about the radio operating environment. This enables the cognitive radio to adjust its operating parameters, such as carrier frequency, transmit power, and waveforms dynamically in order to provide the best available connection to meet the user's needs within the constraints on interference.

    In this talk, collaborative cyclostationarity based spectrum sensing methods are introduced. Cyclostationary processes are random processes whose statistical properties are periodic in time. Many of the signals used in wireless communication systems possess this property. Collaboration among the cognitive radio terminals allows for mitigating the effects of shadowing and fading through spatial diversity, improves the detection performance, and provides a larger area for the cognitive radio system. This talk examines collaborative detection techniques combining local test statistics from many secondary users. In order to reduce the amount of overhead traffic due to the collaboration censoring of uninformative test statistics is considered. Simulation experiments demonstrating the reliable performance of the cyclic detectors, collaboration gains, and censoring benefits even under very strict constraints on communication rates are provided.


    Bio: Jarmo Lunden received the M.Sc. (Tech) degree with distinction in Communications Engineering from the Dept. of Electrical and Communications Engineering, Helsinki University of Technology (TKK), Finland, 2005. Since 2005, he has been pursuing doctoral degree at TKK. Since September 2007, he has been a visiting researcher at the University of Pennsylvania, Philadelphia. His research interests include cognitive radio and radar interception and identification.

    In 2005, Mr Lunden received the Pattern Recognition Society of Finland's Award for the Best Master's Thesis in the field of pattern recognition.