ScholarLens Back to search
2012•Information and Electronic EngineeringRequires access

Cooperative spectrum sensing based on trust degree and SNR in cognitive radio network

Yanping Liu

Open publisher page 0 citations

Abstract

To make use of the local sensing results of Cognitive Radio(CR) users in the wireless network at the existence of baleful CR users with higher SNR(Signal to Noise Ratio),a cooperative spectrum sensing method based on trust degree and SNR comparison is proposed.It can reject the baleful CR users with higher SNR in CR network effectively.The simulation results show that the detection performance of the proposed algorithm is better than that of the cooperative Spectrum Sensing based on traditional Or Rule(OR) data fusion criterion and SNR comparison.

About this research paper

What this paper is about

To make use of the local sensing results of Cognitive Radio(CR) users in the wireless network at the existence of baleful CR users with higher SNR(Signal to Noise Ratio),a cooperative spectrum sensing method based on trust degree and SNR comparison is proposed.It can reject the baleful CR users with higher SNR in CR network effectively.The simulation results show that the detection performance of the proposed algorithm is better than that of the cooperative Spectrum Sensing based on traditional Or Rule(OR) data fusion criterion and SNR comparison.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

To make use of the local sensing results of Cognitive Radio(CR) users in the wireless network at the existence of baleful CR users with higher SNR(Signal to Noise Ratio),a cooperative spectrum sensing method based on trust degree and SNR comparison is proposed.It can reject the baleful CR users with higher SNR in CR network effectively.The simulation results show that the detection performance of the proposed algorithm is better than that of the cooperative Spectrum Sensing based on traditional Or Rule(OR) data fusion criterion and SNR comparison.

Key concepts: Cognitive radio, Signal-to-noise ratio (imaging), Spectrum (functional analysis), Degree (music), Wireless, Computer science, Radio networks, Maximal-ratio combining

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Cooperative spectrum sensing based on trust degree and SNR in cognitive radio network — Research Paper | ScholarLens