Energy Detection Based Spectrum Sensing for Sensing Error Minimization in Cognitive Radio Networks

Dong-Chan Oh and Yong-Hwan Lee


In this paper, we investigate an optimization of threshold

level with energy detection to improve the spectrum sensing

performance. Determining threshold level to minimize spectrum

sensing error both reduces collision probability with primary user

and enhances usage level of vacant spectrum, resulting in

improving total spectrum efficiency. However, when determining

threshold level, spectrum sensing constraint should also be satisfied

since it guarantees minimum required protection level of primary

user and usage level of vacant spectrum. To minimize spectrum

sensing error for given spectrum sensing constraint, we derive an

optimal adaptive threshold level by utilizing the spectrum sensing

error function and constraint which is given by inequality condition.

Simulation results show that the proposed scheme provides better

spectrum sensing performance compared to conventional schemes.

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International Journal of Communication Networks and Information Security (IJCNIS)          ISSN: 2076-0930 (Print)           ISSN: 2073-607X (Online)