Collaborative Spectrum Sensing of Cognitive Radio Networks with Simple and Effective Fusion Scheme
| Autor: | K. C. Sriharipriya, K. Baskaran |
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| Rok vydání: | 2014 |
| Předmět: |
Scheme (programming language)
0209 industrial biotechnology SIMPLE (military communications protocol) Computer science Applied Mathematics Spectrum (functional analysis) 020206 networking & telecommunications 02 engineering and technology Statistical power 020901 industrial engineering & automation Cognitive radio Component (UML) Signal Processing 0202 electrical engineering electronic engineering information engineering False alarm computer Algorithm Fusion center Simulation computer.programming_language |
| Zdroj: | Circuits, Systems, and Signal Processing. 33:2851-2865 |
| ISSN: | 1531-5878 0278-081X |
| DOI: | 10.1007/s00034-014-9768-7 |
| Popis: | Cognitive radio (CR) provides a mechanism for effective spectrum usage. Spectrum sensing is an essential component of CR which comprises intelligent signal processing algorithms to identify the spectrum holes. In this paper, we propose a novel soft combining scheme, called mean cumulative sum (MCS), at the cognitive base station or Fusion center (FC), and we have investigated our proposed method through closed form expressions of probability of detection and probability of false alarm, respectively. We have also provided a method of obtaining an optimum threshold to minimize the sensing error which occurs in FC. Our simulation results show that proposed MCS combining scheme outperforms single user spectrum sensing and performs equally well as that of equal gain soft combining scheme. In addition, our results show that sensing error is reduced when optimum threshold is chosen at the FC. |
| Databáze: | OpenAIRE |
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