| Summary: | With the increase of wireless devices, the wireless spectrum is becoming overloaded
causing users to experience delays and performance degradation. Typically, a device will start
transmitting data on a frequency and continue transmitting on that frequency regardless of the
channel being overloaded or not. Some smarter devices such as routers are able to sense when
their channel is becoming overloaded by observing delays and amount of devices transmitting on
that frequency. Spectrum analyzers are usually very expensive and usually do not provide many
functionalities other than analysis. Utilizing newer alternatives for sensing the spectrum such as
Software Defined Radios (SDR) can address frequency allocation problems and allow users to
decide the best frequency to use for communication. A promising SDR such as GNU Radio will
be covered in this thesis, as well as the hardware components needed for its functionality. In this
thesis, a cognitive radio approach is taken in designing a channel selection algorithm by scanning
and monitoring the wireless spectrum on IEEE 802.11 b/g through the use of GNU Radio and
USRP. Tests are performed as a proof of concept and to help future research with the use of
cognitive radios. === Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering.
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