Designing Non-Uniform Constellations using an Artificial Immune System

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dc.contributor.authorJerji F.
dc.contributor.authorAkamine C.
dc.contributor.authorDe Castro L.N.
dc.date.accessioned2024-03-12T19:17:09Z
dc.date.available2024-03-12T19:17:09Z
dc.date.issued2022
dc.description.abstract© 2022 IEEE.This paper presents the experimental results of designing Non-Uniform Constellations (NUC) using an Artificial Immune System named Clonal Selection Algorithm (CLONALG). The simulation results for the proposed experiment show the CLONALG capability of generating a NUC with superior performance to the NUC generated using a standard Genetic Algorithm (GA).
dc.description.volume2022-June
dc.identifier.doi10.1109/BMSB55706.2022.9828634
dc.identifier.issn2155-5052
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34481
dc.relation.ispartofIEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB
dc.rightsAcesso Restrito
dc.subject.otherlanguageAdvanced signal processing for transmission
dc.subject.otherlanguageChannel coding
dc.subject.otherlanguageCLONALG
dc.subject.otherlanguageLDPC
dc.subject.otherlanguageModulation
dc.subject.otherlanguageMultiplexing
dc.subject.otherlanguageNUC
dc.titleDesigning Non-Uniform Constellations using an Artificial Immune System
dc.typeArtigo de evento
local.scopus.citations1
local.scopus.eid2-s2.0-85135802093
local.scopus.subjectAdvanced signal processing
local.scopus.subjectAdvanced signal processing for transmission
local.scopus.subjectArtificial Immune System
local.scopus.subjectClonal selection algorithms
local.scopus.subjectLDPC
local.scopus.subjectNon-uniform constellations
local.scopus.subjectPerformance
local.scopus.subjectStandard genetic algorithm
local.scopus.updated2024-12-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85135802093&origin=inward
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