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Abstract:
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The sensible utilization of radio spectrum has become an important challenge in the
wireless communications. So, there are a lot solutions for that, however, cognitive radio
networks become a potentially resolution by providing high bandwidth to mobile users
via heterogeneous wireless architectures and dynamic spectrum access techniques.
Cognitive radio networks is emerging as a realizable revolutionary methodology in
solving vacant frequency scarcity problem while the frequency bands are closely and
strictly managed by government authorization and have nearly been used up with the
quick increase in the number of subscribers and wireless services recently. A question
arises how to improve the efficiency of using allocated bands to avoid wasting radio
resource ? In cognitive radio networks, spectrum sensing a key component of cognitive
radio technology. However, detection is compromised when a user experiences
shadowing or fading effects. In such cases, user cannot distinguish between an unused
band and a deep fade. Thus, cooperative spectrum sensing is proposed to optimize the
sensing performance. In my work, I focus on investigate the performance of cooperative
spectrum sensing using energy detection on the probability of spectrum sensing over
Nakagami fading channel in cognitive radio networks. Furthermore, in the Nakagami
channel, I mention in finding the indispensable clients to guarantee the quality of service
by estimating mathematical formula and approving the theory using software solution in
the MATLAB. For most of simulated results, I am interested in the , the probability of
cooperative spectrum sensing, versus different m values of Nakagami channel. |