Show simple item record

dc.contributor.authorJaved, Sidrah
dc.contributor.authorElzanaty, Ahmed
dc.contributor.authorAmin, Osama
dc.contributor.authorShihada, Basem
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2021-04-26T07:25:27Z
dc.date.available2020-09-20T13:04:53Z
dc.date.available2021-04-26T07:25:27Z
dc.date.issued2021
dc.identifier.citationJaved, S., Elzanaty, A., Amin, O., Shihada, B., & Alouini, M.-S. (2021). When Probabilistic Shaping Realizes Improper Signaling for Hardware Distortion Mitigation. IEEE Transactions on Communications, 1–1. doi:10.1109/tcomm.2021.3074978
dc.identifier.issn1558-0857
dc.identifier.doi10.1109/TCOMM.2021.3074978
dc.identifier.urihttp://hdl.handle.net/10754/665244
dc.description.abstractHardware distortions (HWDs) render drastic effects on the performance of communication systems. They are recently proven to bear asymmetric signatures; and hence can be efficiently mitigated using improper Gaussian signaling (IGS), thanks to its additional design degrees of freedom. Discrete asymmetric signaling (AS) can practically realize the IGS by shaping the signals’ geometry or probability. In this paper, we adopt the probabilistic shaping (PS) instead of uniform symbols to mitigate the impact of HWDs and derive the optimal maximum a posterior detector. Then, we design the symbols’ probabilities to minimize the error rate performance while accommodating the improper nature of HWD. Although the design problem is a non-convex optimization problem, we simplified it using successive convex programming and propose an iterative algorithm. We further present a hybrid shaping (HS) design to gain the combined benefits of both PS and geometric shaping (GS). Finally, extensive numerical results and Monte Carlo (MC) simulations highlight the superiority of the proposed PS over conventional uniform constellation and GS. Both PS and HS achieve substantial improvements over the traditional uniform constellation and GS with up to one order magnitude in error probability and throughput.
dc.publisherIEEE
dc.relation.urlhttps://ieeexplore.ieee.org/document/9410562/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9410562/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9410562
dc.rights(c) 2021 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.subjectHardware distortion
dc.subjectasymmetric signaling
dc.subjecterror probability analysis
dc.subjectimproper discrete constellations
dc.subjectimproper Gaussian noise
dc.subjectnon-uniform priors
dc.subjectoptimal detector
dc.titleWhen Probabilistic Shaping Realizes Improper Signaling for Hardware Distortion Mitigation
dc.typeArticle
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.identifier.journalIEEE Transactions on Communications
dc.eprint.versionPost-print
dc.identifier.pages1-1
dc.identifier.arxivid2009.05510
kaust.personJaved, Sidrah
kaust.personElzanaty, Ahmed Mohamed
kaust.personAmin, Osama
kaust.personShihada, Basem
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2020-09-20T13:05:27Z


Files in this item

Thumbnail
Name:
TCOM_ProbShaping.pdf
Size:
1.071Mb
Format:
PDF
Description:
Accepted manuscript

This item appears in the following Collection(s)

Show simple item record

VersionItemEditorDateSummary

*Selected version