TY - JOUR
T1 - Low-complexity energy detection for spectrum sensing with random arrivals of primary users
AU - Chin, Wen Long
AU - Li, Jia Ming
AU - Chen, Hsiao Hwa
N1 - Funding Information:
This work was supported by the Ministry of Science and Technology under Grant MOST 103-2221-E-006-082, Grant MOST 103-2221-E-006-190-MY2, Taiwan, and Grant MOST 102-2221-E-006-008-MY3. The review of this paper was coordinated by Prof. Y. Qian
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2016/2
Y1 - 2016/2
N2 - Due to random arrivals of primary-user signals, the timing misalignment issue should be considered for spectrum sensing in cognitive radio (CR) systems, such as CR-based femtocell networks. To deal with this issue, two approaches were recommended in the literature, including Bayesian and generalized likelihood ratio test (GLRT) detectors. However, the Bayesian test requires perfect knowledge of the distribution of unknown parameters. Therefore, it is impractical due to its implementation complexity. To design a low-complexity energy detector (ED), this work proposes an ED scheme based on the GLRT algorithm. As a result, maximum-likelihood estimation for the timing misalignment is devised, and the performance of the proposed scheme is analyzed. The results show that the proposed GLRT detector features a low-complexity and satisfactory performance.
AB - Due to random arrivals of primary-user signals, the timing misalignment issue should be considered for spectrum sensing in cognitive radio (CR) systems, such as CR-based femtocell networks. To deal with this issue, two approaches were recommended in the literature, including Bayesian and generalized likelihood ratio test (GLRT) detectors. However, the Bayesian test requires perfect knowledge of the distribution of unknown parameters. Therefore, it is impractical due to its implementation complexity. To design a low-complexity energy detector (ED), this work proposes an ED scheme based on the GLRT algorithm. As a result, maximum-likelihood estimation for the timing misalignment is devised, and the performance of the proposed scheme is analyzed. The results show that the proposed GLRT detector features a low-complexity and satisfactory performance.
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U2 - 10.1109/TVT.2015.2405558
DO - 10.1109/TVT.2015.2405558
M3 - Article
AN - SCOPUS:84962169108
SN - 0018-9545
VL - 65
SP - 947
EP - 952
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 2
M1 - 7047887
ER -