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Spectrum Sensing in Cognitive Radio Based on Hidden Semi-Markov Model

  • Lujie DiEmail author
  • Xueke Ding
  • Mingbing Li
  • Qun Wan
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 302)

Abstract

Spectrum sensing is one of the key technologies in cognitive radio systems. Efficient spectrum sensing can improve the communication network throughput and reduce the possibility of frequency collision. Hidden Markov Model (HMM) is a common spectrum sensing algorithm, which can enhance the energy detection (ED) algorithm by using historical observation information under unsupervised conditions. However, this algorithm assumes the regularity of the primary user occupying the spectrum to obey the Markov property. If the assumption is inconsistent with the facts, the performance of the algorithm will deteriorate. So, we propose a spectrum sensing algorithm based on Hidden Semi-Markov Model (HSMM) in this paper. It can solve the shortcoming of HMM because it has a high-order timing representation capability. Numerical simulations show that this model can effectively improve the detection performance of ED. It improves the SNR tolerance of 4 dB, or shortens the sensing time to a quarter of the time that the traditional ED method takes. In addition, the proposed algorithm is applicable to more scenarios than HMM. When the Markov property of the spectrum state fails, the proposed algorithm still performs better than HMM.

Keywords

Cognitive radio Spectrum sensing Hidden Semi-Markov Model 

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.University of Electronic Science and Technology of ChinaChengduChina
  2. 2.Jangxi Province Engineering Research Center of Special Wireless Communications Tongfang Electronic Technology Co.JiujiangChina
  3. 3.Southwest Institute of Electronic TechnologyChengduChina
  4. 4.University of Electronic Science and Technology of ChinaChengduChina

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