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 :
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