TY - GEN
T1 - Mean spectral radius detection for cognitive radio
AU - Gao, Yulong
AU - Han, Xinsheng
AU - Ma, Yongkui
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - In this paper, a new spectrum sensing algorithm is proposed based on the eigenvalue distribution of the covariance matrix of sensing nodes. The received signals of all the nodes can be denoted by a non-Hermitian random matrix. A recent research indicates that the eigenvalue distribution for the product of non-Hermitian random matrices follows Single Ring Theorem for the noise-only case. However, for the signal-present case, the inner radius of the eigenvalue distribution is smaller than that of the noise-only case. Then mean spectral radius (MSR) can be utilized to detect the signal. The proposed method overcomes the noise uncertainty and has higher detection performance than the maximum-minimum eigenvalue (MME) detection when the primary signals among sensing nodes are uncorrelated. Finally, Simulations are performed to verify the effectiveness of the proposed method.
AB - In this paper, a new spectrum sensing algorithm is proposed based on the eigenvalue distribution of the covariance matrix of sensing nodes. The received signals of all the nodes can be denoted by a non-Hermitian random matrix. A recent research indicates that the eigenvalue distribution for the product of non-Hermitian random matrices follows Single Ring Theorem for the noise-only case. However, for the signal-present case, the inner radius of the eigenvalue distribution is smaller than that of the noise-only case. Then mean spectral radius (MSR) can be utilized to detect the signal. The proposed method overcomes the noise uncertainty and has higher detection performance than the maximum-minimum eigenvalue (MME) detection when the primary signals among sensing nodes are uncorrelated. Finally, Simulations are performed to verify the effectiveness of the proposed method.
KW - Mean spectral radius
KW - Non-hermitian random matrix
KW - Single Ring Theorem
KW - Spectrum sensing
KW - The eigenvalue distribution
UR - https://www.scopus.com/pages/publications/85016975849
U2 - 10.1109/VTCFall.2016.7881083
DO - 10.1109/VTCFall.2016.7881083
M3 - 会议稿件
AN - SCOPUS:85016975849
T3 - IEEE Vehicular Technology Conference
BT - 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 84th IEEE Vehicular Technology Conference, VTC Fall 2016
Y2 - 18 September 2016 through 21 September 2016
ER -