Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACSSC.2012.6489066
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dc.titleImproving achievable rate for the two-user SISO interference channel with improper Gaussian signaling
dc.contributor.authorZeng, Y.
dc.contributor.authorYetis, C.M.
dc.contributor.authorGunawan, E.
dc.contributor.authorGuan, Y.L.
dc.contributor.authorZhang, R.
dc.date.accessioned2014-10-07T04:45:44Z
dc.date.available2014-10-07T04:45:44Z
dc.date.issued2012
dc.identifier.citationZeng, Y.,Yetis, C.M.,Gunawan, E.,Guan, Y.L.,Zhang, R. (2012). Improving achievable rate for the two-user SISO interference channel with improper Gaussian signaling. Conference Record - Asilomar Conference on Signals, Systems and Computers : 552-556. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ACSSC.2012.6489066" target="_blank">https://doi.org/10.1109/ACSSC.2012.6489066</a>
dc.identifier.isbn9781467350518
dc.identifier.issn10586393
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/83834
dc.description.abstractThis paper studies the achievable rate region of the two-user single-input single-output (SISO) Gaussian interference channel, when the improper Gaussian signaling is applied. Under the assumption that the interference is treated as additive Gaussian noise, we show that the user's achievable rate can be expressed as a summation of the rate achievable by the conventional proper Gaussian signaling, which depends on the users' input covariances only, and an additional term, which is a function of both the users' covariances and pseudo-covariances. The additional degree of freedom given by the pseudo-covariance, which is conventionally set to be zero for the case of proper Gaussian signaling, provides an opportunity to improve the achievable rate by employing the improper Gaussian signaling. Since finding the optimal solution for the joint covariance matrix and pseudo-covariance matrix optimization is difficult, we propose a sub-optimal but efficient algorithm by separately optimizing these two sets of parameters. Numerical results show that the proposed algorithm provides a close-to-optimal performance as compared to the exhaustive search method, and significantly outperforms the optimal proper Gaussian signaling scheme. © 2012 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ACSSC.2012.6489066
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ACSSC.2012.6489066
dc.description.sourcetitleConference Record - Asilomar Conference on Signals, Systems and Computers
dc.description.page552-556
dc.description.codenCCSCE
dc.identifier.isiutNOT_IN_WOS
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