Development of adaptive sensing algorithm for minimizing energy and bandwidth consumption in cooperative spectrum sensing technology
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2019
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Abstract
Optimized consumption of energy and bandwidth is crucial for efficient utilization of the
limited electromagnetic spectrum for telecommunication purposes. Cognitive radio is one of
the dynamic spectrum management applications with numerous benefits related to the
management of available spectrum. But it has the challenge ofhigh energy and bandwidth
usage when the cooperative scheme of spectrum sensing is applied for accurate sensing. In
this paper, an adaptive spectrum sensing algorithm is developed to minimize energy and
bandwidth consumption in cognitive radio spectrum sensing while ensuring accurate
spectrum sensing. The adaptive algorithm was developed based on the signal-to-noise ratio
conditions of the channel. Results reveal that the energy and bandwidth usage by the
cooperative spectrum sensing can be significantly reduced without negatively affecting the
performance and detection of the cognitive radio in varying noisy conditions
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Adaptive Sensing Algorithm, Bandwidth and Energy Consumption, Cooperative Spectrum Sensing, Cognitive Radio