Abstract
In cognitive radio networks, cooperative detection algorithms can be divided into two types: centralized and distributed. Traditional centralized algorithm need a fusion center to get the information from all cognitive users (CU), which will requires nontrivial routing resources. According to the defect, we propose a distributed spectrum detection algorithm based on reliability and diffusion strategy. The algorithm use SNR as reliability for the construction of network topology and fusion matrix. Through the diffusion strategy, CUs exchange information with their neighbors and make their own judgments independently. Simulation results show that the proposed algorithm has been improved in robustness, accuracy and speed of detection compared with centralized algorithm and non-cooperative algorithm.
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Acknowledgement
This work is supported by National Science and Technology Major Project 2014ZX03001027 and the Natural Science Foundation of China 61379016.
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Fu, C., Zhao, C., Zhang, Y. (2019). Distributed Spectrum Detection Algorithm Based on Reliability and Diffusion Strategy. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_68
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DOI: https://doi.org/10.1007/978-981-10-6571-2_68
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