Implementation issues for optimized hard decision energy detector-based cooperative spectrum sensing

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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 thresh- old 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.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management, CogART'11
DOIs
Publication statusPublished - 2011
Event4th International Conference on Cognitive Radio and Advanced Spectrum Management, CogART'11 - Barcelona, Spain
Duration: 26 Oct 201129 Oct 2011

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Cognitive Radio and Advanced Spectrum Management, CogART'11
Country/TerritorySpain
CityBarcelona
Period26/10/1129/10/11

Keywords

  • Cognitive radio
  • Cooperative networks
  • Energy detector
  • Hard decision
  • Optimization
  • Spectrum sensing

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