Impact of Improper Gaussian Signaling on Hardware Impaired Systems

Handle URI:
http://hdl.handle.net/10754/622027
Title:
Impact of Improper Gaussian Signaling on Hardware Impaired Systems
Authors:
Javed, Sidrah; Amin, Osama ( 0000-0002-0026-5960 ) ; Ikki, Salam S.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In this paper, we accurately model the hardware impairments (HWI) as improper Gaussian signaling (IGS) which can characterize the asymmetric characteristics of different HWI sources. The proposed model encourages us to adopt IGS scheme for transmitted signal that represents a general study compared with the conventional scheme, proper Gaussian signaling (PGS). First, we express the achievable rate of HWI systems when both PGS and IGS schemes are used when the aggregate effect of HWI is modeled as IGS. Moreover, we tune the IGS statistical characteristics to maximize the achievable rate. Then, we analyze the outage probability for both schemes and derive closed form expressions. Finally, we validate the analytic expressions through numerical and simulation results. In addition, we quantify through the numerical results the performance degradation in the absence of ideal transceivers and the gain reaped from adopting IGS scheme compared with PGS scheme.
KAUST Department:
CEMSE Division
Journal:
IEEE ICC 2017
Conference/Event name:
IEEE International Conference on Communications 2017
Issue Date:
18-Dec-2016
DOI:
10.1109/ICC.2017.7997183
Type:
Conference Paper
Appears in Collections:
Conference Papers

Full metadata record

DC FieldValue Language
dc.contributor.authorJaved, Sidrahen
dc.contributor.authorAmin, Osamaen
dc.contributor.authorIkki, Salam S.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2016-12-18T11:29:39Z-
dc.date.available2016-12-18T11:29:39Z-
dc.date.issued2016-12-18-
dc.identifier.doi10.1109/ICC.2017.7997183-
dc.identifier.urihttp://hdl.handle.net/10754/622027-
dc.description.abstractIn this paper, we accurately model the hardware impairments (HWI) as improper Gaussian signaling (IGS) which can characterize the asymmetric characteristics of different HWI sources. The proposed model encourages us to adopt IGS scheme for transmitted signal that represents a general study compared with the conventional scheme, proper Gaussian signaling (PGS). First, we express the achievable rate of HWI systems when both PGS and IGS schemes are used when the aggregate effect of HWI is modeled as IGS. Moreover, we tune the IGS statistical characteristics to maximize the achievable rate. Then, we analyze the outage probability for both schemes and derive closed form expressions. Finally, we validate the analytic expressions through numerical and simulation results. In addition, we quantify through the numerical results the performance degradation in the absence of ideal transceivers and the gain reaped from adopting IGS scheme compared with PGS scheme.en
dc.rightsSubmitted version of the paper. Please refer to IEEE Explorer for the final version.en
dc.titleImpact of Improper Gaussian Signaling on Hardware Impaired Systemsen
dc.typeConference Paperen
dc.contributor.departmentCEMSE Divisionen
dc.identifier.journalIEEE ICC 2017en
dc.conference.dateMay 21-25, 2017en
dc.conference.nameIEEE International Conference on Communications 2017en
dc.conference.locationParis, Franceen
dc.eprint.versionPre-printen
dc.contributor.institutionDepartment of Electrical Engineering, Faculty of Engineering, Lakehead University, Ontario, Canada.en
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