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

Abstract

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 PUs. The SUs must outfit with the spectrum access information to use the primary users 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 SUs 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 users 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 SUs. Finally, it is demonstrated that the cyclostationary detection method can be improved when extra channels are accessible.