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Improvement of Spectral Efficiency in Home Area Network using Cognitive Radio Algorithm
Monisha. M1, Rajendran. V2

1Monisha. M*, Assistant Professor, PhD Research Scholar at VISTAS, Chennai, Tamil Nadu, India.
2Rajendran. V, Professor and Director of Department of Electronics and Communication Engineering, VISTAS, Chennai, Tamil Nadu, India. 

Manuscript received on September 17, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 1129-1131 | Volume-8 Issue-12, October 2019. | Retrieval Number: L38851081219/2019©BEIESP | DOI: 10.35940/ijitee.L3885.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The faster development of wireless communications has made the spectrum ending up with increasingly with more shortage. The idea 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 licence 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 numerous channels, spectrum sharing must be taken into account. In this paper we additionally propose a system of multiple channel sensing. We consider the interference to PU brought about by the dynamic access and the erroneous spectrum sensing technique. 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.
Keywords: Spectrum Sensing-HAN-Queuing Model-Energy Efficiency
Scope of the Article: Algorithm Engineering