Deterministic Chaotic Propagation Model

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dc.contributor.authorBotelho A.L.P.
dc.contributor.authorAkamine C.
dc.contributor.authorLopes P.B.
dc.date.accessioned2024-03-12T19:11:02Z
dc.date.available2024-03-12T19:11:02Z
dc.date.issued2023
dc.description.abstract© 2023 The Authors.Coverage prediction is an essential method of planning broadcast and long-range wireless communication systems, minimizing the need for field measurements to adjust the coverage area and consequently reducing the time and cost of implementation. Coverage prediction methods use statistical simplifications in conjunction to uncertainty quantification algorithms to assist in modeling multipath effects and impulsive noise, notably hard to be statistically considered. This paper presents a new approach to represent electromagnetic wave propagation uncertainties based on chaotic dynamical systems to model the behavior of multipath effect and impulsive noise. A novel Deterministic Chaotic Propagation Model (DCPM) is presented and used to predict coverage area in a DVB-T2 broadcast system in diverse transmission environments. The results indicate that the predicted area of bad reception is smaller in comparison to the one obtained using traditional methods. Therefore, fewer signal repeaters can be used to provide good TV reception in this area, causing a significant cost reduction in the set-up of a broadcast system. Another parameter used to evaluate the quality of reception is the carrier to noise power ratio (C/N) threshold for a bit error rate (BER) of 10-7. The DCPM indicate a C/N threshold equal to 13.7 dB in dense urban environment and 13.4 dB in rural environment using a moderately less robust modulation configuration. Employing a more robust configuration, the C/N threshold is equal to 0.9 dB in all environments. These numbers match the obtained by the traditional propagation models.
dc.description.firstpage129640
dc.description.lastpage129649
dc.description.volume11
dc.identifier.doi10.1109/ACCESS.2023.3333664
dc.identifier.issn2169-3536
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/34152
dc.relation.ispartofIEEE Access
dc.rightsAcesso Aberto
dc.subject.otherlanguageBroadcast
dc.subject.otherlanguagechaotic dynamical systems
dc.subject.otherlanguageDoppler effect
dc.subject.otherlanguageimpulsive noise
dc.subject.otherlanguagelong-range wireless communication
dc.subject.otherlanguagemultipath
dc.subject.otherlanguagepropagation
dc.titleDeterministic Chaotic Propagation Model
dc.typeArtigo
local.scopus.citations0
local.scopus.eid2-s2.0-85177996338
local.scopus.subjectBroadcast
local.scopus.subjectChaotic communications
local.scopus.subjectChaotic dynamical systems
local.scopus.subjectElectromagnetic scattering
local.scopus.subjectLong-range wireless communication
local.scopus.subjectMultipath
local.scopus.subjectNoise measurements
local.scopus.subjectPredictive models
local.scopus.subjectPropagation
local.scopus.subjectReceiver
local.scopus.subjectUncertainty
local.scopus.subjectWireless communications
local.scopus.updated2024-12-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85177996338&origin=inward
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