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     COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER
                                AND 
           THE DEPARTMENT OF COMPUTATIONAL & DATA SCIENCES
                            (CSI 898-Sec 001)
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              Spectrum Sensing in Time, Space, and Frequency

                            Brian L. Mark
            Department of Electrical & Computer Engineering 
                 George Mason University, Fairfax, VA

Wireless spectrum is becoming a scarce resource largely due to the static
allocation of licensed spectrum by regulatory bodies, resulting in a high 
degree of underutilization in large portions of the spectrum. One approach 
to alleviating spectrum scarcity involves the use of cognitive radios that 
are capable of sensing the wireless environment and dynamically accessing 
unused portions of the spectrum, while avoiding harmful interference to 
licensed users of a spectrum band. Dynamic spectrum access is promising, 
but there remain technological challenges in spectrum sensing and resource 
allocation, as well as spectrum policy issues, which need to be addressed 
for it to be widely deployed.   

In this talk, we will discuss models and algorithms for performing spectrum
sensing in time, space, and frequency.  Spectrum sensing essentially amounts
to characterizing primary users in terms of temporal dynamics, spatial
location and power usage, and center frequency and bandwidth usage. Such
characterization must also take into account wireless propagation effects
and impairments.  We will discuss the application of a class of hidden Markov 
models to characterizing the temporal dynamics of primary users, as well as 
their spatial and frequency domain properties.

                            March 21, 2016
                               4:30 pm
                    Exploratory Hall, room 3301 
                          Fairfax Campus

Refreshments will be served at 4:15 PM.
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Find the schedule at http://www.cmasc.gmu.edu/seminars.htm