A Diffusion-Based Distributed Collaborative Energy Detection Algorithm for Spectrum Sensing in Cognitive Radio

Junfang Li, Wenxiao Chen, Shaoli Kang, Yongming Guo

School of Communication and Information Engineering, Xi’an University of Posts & Telecommunications, Xi’an, China.
State Key Lab of Wireless Mobile Communication, China Academy of Telecommunication Technology, Beijing, Chin.
The National Institute of Radio Spectrum Management, Xi’an, China.

DOI: 10.4236/cn.2013.53B2051                

Abstract

Spectrum sensing is one of the most important steps in cognitive radio. In this paper, a new fully-distributed collaborative energy detection algorithm based on diffusion cooperation scheme and consensus filtering theory is proposed, which doesn’t need the center node to fuse the detection results of all users. The secondary users only exchange information with their neighbors to obtain the detection data, and then make the corresponding decisions independently according to the pre-defined threshold. Simulations show that the proposed algorithm is more superior to the existing centralized collaborative energy detection algorithm in terms of the detecting performance and robustness in the insecurity situation.

Keywords

Collaborative Energy Detection; Data Diffusion; Cognitive Radio; Spectrum Sensing

Conflicts of Interest

The authors declare no conflicts of interest.

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