Energy efficient cooperative spectrum sensing techniques in cognitive radio networks.
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Date
2017
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Abstract
The demand for spectrum is increasing particularly due to the accelerating growth in
wireless data traffic generated by smart phones, tablets and other internet access devices.
Most of prime spectrum is already licensed. The licensed spectrum is underutilized or
used inefficiently, i.e. spectrum sits idle at any given time and location. Opportunistic
Spectrum Access (OSA) is proposed as a solution to provide access to the temporarily
unused spectrum commonly known as white spaces to improve spectrum utilization,
increase spectrum efficiency and reduce spectrum scarcity. The aim of this research is to
investigate potential impact of cooperative spectrum sensing techniques technologies on
spectrum management. To fulfill this we focused on two spectrum sensing techniques
namely; Firstly energy efficient statistical cooperative spectrum sensing in cognitive radio
networks, this work exploits the higher order statistical (HOS) tests to detect the
status of PU signal by a group of SUs. Secondly, an optimal energy based cooperative
spectrum sensing in cognitive radio networks was investigated. In this work the performance
of optimal hard fusion rules are employed in SU’s selection criteria and fusion
of the decisions under Gaussian channel and Rayleigh channels. To optimize on the
energy a two stage fusion and selection strategy is adopted to minimize the number of
collaborating SUs.
Description
Master of Science in Electronic Engineering. University of KwaZulu-Natal, Durban 2017.
Keywords
Theses - Electronic Engineering.