Robust interference channel transmission using sparsity enhanced mismatch model

Chieh Yao Chang*, Carrson C. Fung

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish
Title of host publication2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Pages836-839
Number of pages4
DOIs
StatePublished - 6 Nov 2012
Event2012 IEEE Statistical Signal Processing Workshop, SSP 2012 - Ann Arbor, MI, United States
Duration: 5 Aug 20128 Aug 2012

Publication series

Name2012 IEEE Statistical Signal Processing Workshop, SSP 2012

Conference

Conference2012 IEEE Statistical Signal Processing Workshop, SSP 2012
CountryUnited States
CityAnn Arbor, MI
Period5/08/128/08/12

Keywords

  • cognitive radio
  • imperfect channels
  • Interference avoidance
  • MIMO
  • precoder

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  • Cite this

    Chang, C. Y., & Fung, C. C. (2012). Robust interference channel transmission using sparsity enhanced mismatch model. In 2012 IEEE Statistical Signal Processing Workshop, SSP 2012 (pp. 836-839). [6319836] (2012 IEEE Statistical Signal Processing Workshop, SSP 2012). https://doi.org/10.1109/SSP.2012.6319836