Implementation issues for optimized hard decision energy detector-based cooperative spectrum sensing
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Date
2011-10
Authors
Horgan, Donagh
Murphy, Colin C.
Journal Title
Journal ISSN
Volume Title
Publisher
ACM
Published Version
Abstract
Recent studies in cooperative energy
detection have focused on the optimization of the threshold value and
fusion center voting rule in an effort to minimize the sensing error
probability. However, such studies operate under the assumption that the
signal to noise ratio is equal at every node, which is rarely the case
in practice. In this paper, generalized formulas for the optimal
threshold value and optimal fusion center voting rule are derived for
hard decision energy detector-based spectrum sensing networks where the
signal to noise ratio is distinct at each node. It is shown that the
implementation of this solution requires more data to be transmitted
than the optimal soft decision scheme, which is known to have superior
performance.
Description
Keywords
Cognitive radio , Cooperative networks , Energy Detector , Hard decision , Optimization , Spectrum sensing
Citation
Horgan, D.; Murphy, C. C. (2011) Implementation issues for optimized hard decision energy detector-based cooperative spectrum sensing . In: Simone Frattasi; Nicola Marchetti eds. 4th International Conference on Cognitive Radio and Advanced Spectrum Management (CogART) Barcelona, Spain, 26-29 Oct 2011. ACM
Link to publisher’s version
Copyright
ACM New York, NY, USA ©2011