Genetic algorithm-assisted soft fusion-based linear cooperative spectrum sensing
In this letter, a cooperative spectrum sensing scheme for cognitive radio networks based on genetic algorithm (GA) is proposed. The proposed scheme lies in optimizing the weighting coefficients vector used in a linear soft-decision fusion-(SDF-) based framework. The detection performance of the prop...
| Main Authors: | , , |
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| Format: | Article |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/3342/ |
| Summary: | In this letter, a cooperative spectrum sensing scheme for cognitive radio networks based on genetic algorithm (GA) is proposed. The proposed scheme lies in optimizing the weighting coefficients vector used in a linear soft-decision fusion-(SDF-) based framework. The detection performance of the proposed GA-assisted SDF-based scheme is compared with the conventional SDF schemes as well as the OR-logic hard-decision fusion (HDF) scheme. The simulation results show that the proposed scheme outperforms all other schemes and can achieve higher probability of detection given the same probability of false alarm. |
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