Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICASSP.2013.6638486
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dc.titleMISO interference channel with improper Gaussian signaling
dc.contributor.authorZeng, Y.
dc.contributor.authorZhang, R.
dc.contributor.authorGunawan, E.
dc.contributor.authorGuan, Y.L.
dc.date.accessioned2014-06-19T03:18:12Z
dc.date.available2014-06-19T03:18:12Z
dc.date.issued2013-10-18
dc.identifier.citationZeng, Y., Zhang, R., Gunawan, E., Guan, Y.L. (2013-10-18). MISO interference channel with improper Gaussian signaling. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings : 4374-4378. ScholarBank@NUS Repository. https://doi.org/10.1109/ICASSP.2013.6638486
dc.identifier.isbn9781479903566
dc.identifier.issn15206149
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/70953
dc.description.abstractThis paper studies the achievable rate region of the K-user Gaussian multiple-input single-output interference channel (MISO-IC) with interference treated as noise, when improper or circularly asymmetric complex Gaussian signaling is applied. By exploiting the separable rate expression with improper Gaussian signaling, we propose a separate covariance and pseudo-covariance optimization algorithm, which is guaranteed to improve the users' rates over the conventional proper or circularly symmetric complex Gaussian signaling. In particular, for the pseudo-covariance optimization, the semidefinite relaxation (SDR) technique is applied to provide a high-quality approximate solution. For the special case of two-user MISO-IC, the SDR technique yields the optimal pseudo-covariance solution. © 2013 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICASSP.2013.6638486
dc.sourceScopus
dc.subjectImproper Gaussian signaling
dc.subjectMISO-IC
dc.subjectpseudo-covariance
dc.subjectsemidefinite relaxation
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICASSP.2013.6638486
dc.description.sourcetitleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dc.description.page4374-4378
dc.description.codenIPROD
dc.identifier.isiutNOT_IN_WOS
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