Withtheincrease
of wirelessservices anddevices, andthe need tomaintain theirQoS requirements,
the demand for spectral bandwidth has increased in recent years. The
traditional spectrum allocation techniques have led to inefficient spectrum
utilisation. In this project, we analyse a new paradigm called Dynamic Spectrum
Access , using energy detection methods in case of real-valued and
complex-valued signals. An energy efficient detection is also proposed in a
distributed cognitive network for the case of a single SU and N PUs, where N
> 1. The cognitive radio network also has to pay a cost whenever a SU switches
a channel. In this scenario, detection algorithms are also proposed absed on
myopic approach.
Author (s) Details
Shweta
Kumari
Department of Electronics and Communication
Engineering, Vignan’s Foundation for Science, Technology and Research,
Vadlamudi, Andhra Pradesh, India.
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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.
Author(s) Details
M. Monisha
Department of Electronics and Communication Engineering, VISTAS, Chennai,
Tamil Nadu, India.
Dr. V. Rajendran
Department of Electronics and Communication Engineering, VISTAS, Chennai,
Tamil Nadu, India.
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