Cooperative Spectrum Sensing with Enhanced Energy Detection under Non-Identical Gaussian Background Noise

doi:10.13190/j.jbupt.2018-071

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2018, Vol. 41 ›› Issue (6): 39-44.doi: 10.13190/j.jbupt.2018-071

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Cooperative Spectrum Sensing with Enhanced Energy Detection under Non-Identical Gaussian Background Noise

HUANG He, YUAN Chao-wei

School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2018-04-20 Online:2018-12-28 Published:2018-12-24

Abstract

Abstract: In wireless communication scenarios, energy detection has disadvantage in signal-to-noise ratio (SNR) wall and noise uncertainty. The article presents enhanced energy detection with cooperative spectrum sensing under non-identical Gaussian background noise in cognitive radio. Furthermore, the probability of detection and the probability of false alarm have been derived for enhanced energy detection under low SNR condition in cooperative spectrum sensing, and the number of optimized collaboration users has been deduced for the minimum total error rate. Theoretical analysis and numerical results show that proposed schemes have better detection performance than other energy detection plans for solving noise uncertainty problem.

Key words: cognitive radio, cooperative sensing, noise uncertainty

CLC Number:

TN911.23

HUANG He, YUAN Chao-wei. Cooperative Spectrum Sensing with Enhanced Energy Detection under Non-Identical Gaussian Background Noise[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(6): 39-44.

References

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Cooperative Spectrum Sensing with Enhanced Energy Detection under Non-Identical Gaussian Background Noise

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