DocumentCode
3541618
Title
Robust interference channel transmission using sparsity enhanced mismatch model
Author
Chang, Chieh-Yao ; Fung, Carrson C.
Author_Institution
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear
2012
fDate
5-8 Aug. 2012
Firstpage
836
Lastpage
839
Abstract
Herein a maximin-SNR robust precoder design is proposed for MIMO cognitive radio transmission when inaccurate channel estimate is present. The proposed scheme exploits the structural property of the statistical transmit covariance matrix to increase the degree of freedom in the mismatch model related to the channel matrix. Simulation results show that the proposed scheme outperforms previously proposed methods in terms of SER under certain conditions. The performance gain is obtained at the cost of increased interference level toward the primary user, but without violating the average interference power constraint. Analytical and simulation results are given to support the efficacy of the proposed scheme. Furthermore, analysis is carried out to differentiate the performance given by the lower bound method and S-Procedure method.
Keywords
MIMO communication; channel estimation; cognitive radio; covariance matrices; precoding; radiofrequency interference; MIMO cognitive radio transmission; S-procedure method; average interference power constraint; channel estimate; channel matrix; degree of freedom; lower bound method; maximin-SNR robust precoder design; robust interference channel transmission; sparsity enhanced mismatch model; statistical transmit covariance matrix; structural property; Cognitive radio; Covariance matrix; Interference; MIMO; Robustness; Signal to noise ratio; Uncertainty; Interference avoidance; MIMO; cognitive radio; imperfect channels; precoder;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location
Ann Arbor, MI
ISSN
pending
Print_ISBN
978-1-4673-0182-4
Electronic_ISBN
pending
Type
conf
DOI
10.1109/SSP.2012.6319836
Filename
6319836
Link To Document