Spectral Efficiency Improvement for Home Area Network Applications Using Cognitive Radio Algorithm

The rapid development of wireless communications has made the spectrum ending up with
increasingly with more shortage. The technique of CR was proposed to meet the problem of spectrum
effectiveness. In the cognitive networks, the SUs are permitted to detect, distinguish and access the
frequency bands that are not at present used by the PU’s. The SU’s must outfit with the spectrum
access information to use the primary user’s license in the home region network. We propose a
maximum throughput and power based cognitive radio for home region systems (HAN). At the point
when there are different SU’s and number of channels, spectrum sharing must be considered. In this
work we additionally propose a system of multiple channel sensing. The interference to PU brought
about by the dynamic access and the erroneous spectrum sensing technique is also considered. We
investigate the obstruction brought about by the secondary user’s through a reestablishment
hypothesis. Under the limitation of interference to primary user, the queuing theory is used to
overcome this issue and to obtain the higher data rate of SU’s. Finally, it is demonstrated that the
cyclostationary detection method can be improved when extra channels are accessible.