Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Middlesex University, School of Engineering and Information Sciences, Computer Communications , İngiltere
Tezin Onay Tarihi: 2012
Tezin Dili: İngilizce
Öğrenci: Ismail Ünal
Danışman: Enver Ever
Özet:
Cognitive Radio is a way of fulfilling
communication needs for those who require them mostly such as radio resources
and wireless services. Cognitive Radio is an emerging technology for spectrum
scarcity, price of spectrum bands and underutilization. Also restriction of
present radio spectrums exposes needs for Cognitive Radio.
As a main duty of cognitive radio, spectrum
sensing finds unused channels on operating spectrum. By applying different type
algorithms, cognitive radio spectrum sensing works for above reasons. Cognitive
radio mechanism is studied carefully to understand and apply through simulation
programs. Also thesis includes cognitive radio mechanism according to need of
this thesis. And spectrum sensing mechanisms, algorithms and case studies are
included.
This thesis exhibits different scenarios
for cognitive radio spectrum sensing and compares them by taking some variables
as a reference. Three different methods broadly explained, then simulated by
using “fresh” simulation tool SEAMCAT after that resulted according to
cognitive radio needs and variables. It stands for Spectrum Engineering
Advanced Monte Carlo Analysis tool. This thesis also includes cognitive radio
spectrum sensing’s main structure as well as it represent SEAMCAT simulation
tool cognitive radio approach. SEAMCAT simulation tool is a free of charge
simulation tool which has cognitive radio capabilities that developed a year
ago within the frame of European Conference of Postal and Telecommunications
Administrations.
As well as input parameters are represented
in this thesis, scenario facilities, simulation characteristic, SEAMCAT
organization, attributes of all scenarios and screenshots of each step are also
provided.
Through simulating by SEAMCAT simulation
tool, results in this thesis provide wide range of outputs in categories that
vary. Results show that under some circumstances scenario 2 is better than
scenario 1, and scenario 3 is the best one. If these circumstances change
results may vary. Having so many variables in simulation environment is let
author to constrain some of variables as constant values according to previous
studies as described in related sections.