Systems Engineering and Electronics ›› 2018, Vol. 40 ›› Issue (3): 658-664.doi: 10.3969/j.issn.1001-506X.2018.03.26

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User selected collaborative spectrum sensing based on energy detection

ZHANG Haibo, ZHANG Jin, LI Fangwei   

  1. Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Online:2018-02-26 Published:2018-02-26

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Abstract:

Although collaborative spectrum sensing (CSS) can improve the detection probability, CSS may cause a high sensing overhead to secondary users (SU) and induce much interference to primary users (PU) due to detection result reporting. A CSS strategy based on double-threshold best-selection reporting is proposed, which is called double threshold best selection reporting (DTBSR) aiming at reducing the average detection time of SU and improving the performance of spectrum sensing. The performance of single-threshold energy detection is severely degraded due to noise. A double-threshold energy detection algorithm based on the maximum ratio combine (MRC) is adopted. By considering the interference impact on decision reporting from PU, we derive closed-form expressions of false-alarm probability and detection probability over Rayleigh fading channels for traditional and DTBSR strategies are derived, respectively. Comparing with the traditional strategy and the superior selective reporting strategy, the numerical and simulation results show that the improved strategy can improve the detection performance and reduce the average detection time of SU, and can also minimize the probability of missed detection by adjusting the sensing time allocation.

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