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dc.contributor.authorJaved, Sidrah
dc.contributor.authorAmin, Osama
dc.contributor.authorIkki, Salama S.
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2019-02-28T06:47:33Z
dc.date.available2018-04-26T13:54:35Z
dc.date.available2018-11-27T12:51:15Z
dc.date.available2019-02-28T06:47:33Z
dc.date.issued2019-02-06
dc.identifier.citationJaved S, Amin O, Ikki SS, Alouini M-S (2019) Asymmetric Modulation for Hardware Impaired Systems -Error Probability Analysis and Receiver Design. IEEE Transactions on Wireless Communications: 1–1. Available: http://dx.doi.org/10.1109/TWC.2019.2896058.
dc.identifier.issn1536-1276
dc.identifier.issn1558-2248
dc.identifier.doi10.1109/TWC.2019.2896058
dc.identifier.urihttp://hdl.handle.net/10754/627677
dc.description.abstractError probability study of hardware impaired (HWI) systems highly depends on the adopted model. Considering the distinct improper Gaussian features of HWI systems, captured by recent models, HWI-aware receivers are designed. An optimal maximum likelihood (ML) receiver serves as a performance benchmark, and a sub-optimal linear minimum mean square error (LMMSE) introduces a reduced-complexity implementation. Whereas, the conventional HWI-unaware minimum Euclidean distance (MED) receiver, based on the proper noise assumption, exhibits substandard performance. Next, the average error probability of the proposed optimal ML-receiver is analyzed, where several tight bounds and approximations are derived for various HWI systems. Motivated by the benefit of improper Gaussian signaling in mitigating HWI, which is proven in recent studies, asymmetric modulation is adopted and optimized for transmission. The numerical results demonstrate a bit error rate (BER) reduction up to 70% of the proposed HWI-aware receivers over HWI-unaware receivers. Moreover, the asymmetric modulation is shown to reduce the BER by 93%. These results signify the importance of incorporating accurate HWI models, designing appropriate receivers and optimizing signal transmission for BER performance compensation.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8636532
dc.rights(c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectAsymmetric modulation
dc.subjecterror probability analysis
dc.subjecthardware impairments
dc.subjectin-phase and quadrature-phase imbalance
dc.subjectimproper Gaussian signaling
dc.subjectoptimal receiver and self-interfering signals
dc.titleAsymmetric Modulation for Hardware Impaired Systems -Error Probability Analysis and Receiver Design
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Wireless Communications
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Electrical Engineering, Faculty of Engineering, Lakehead University, Ontario, Canada
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personJaved, Sidrah
kaust.personAmin, Osama
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-14T06:40:43Z
dc.date.published-online2019-02-06
dc.date.published-print2019-03


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