dc.contributor.author | Nieto-Chaupis, Huber | |
dc.date.accessioned | 2018-12-17T03:07:59Z | |
dc.date.accessioned | 2022-04-04T16:25:27Z | |
dc.date.available | 2018-12-17T03:07:59Z | |
dc.date.available | 2022-04-04T16:25:27Z | |
dc.date.issued | 2018-09 | |
dc.identifier.isbn | 978-0-9993443-1-6 | |
dc.identifier.issn | 2414-6390 | |
dc.identifier.other | http://laccei.org/LACCEI2018-Lima/meta/FP387.html | |
dc.identifier.uri | http://dx.doi.org/10.18687/LACCEI2018.1.1.387 | |
dc.identifier.uri | http://axces.info/handle/10.18687/2018102_387 | |
dc.description.abstract | A study of the applicability of the well-known Google SketchUp as to model the signal path-loss in mid-sized urban areas is presented.
From the fundamental power equation and the usage of Dirac distributions arriving to nonlinear input/output (I/O) integrals with unknown parameters applied. We use
this scheme to optimize antenna deployment in an urban zone containing buildings and delimited areas. The modeling assumes that the Delta function
contains a polynomial argument and unknown parameters.
The extracted parameters through Monte Carlo steps, would serve to
measure the signal intensity degradation over the mid-sized urban areas assisted with the Google-SketchUp version 8. | en_US |
dc.language.iso | English | en_US |
dc.publisher | LACCEI Inc. | en_US |
dc.rights | LACCEI License | |
dc.rights.uri | https://laccei.org/blog/copyright-laccei-papers/ | |
dc.subject | Dirac-Delta Functions | en_US |
dc.subject | Path Loss Modeling | en_US |
dc.subject | Google SketchUp | en_US |
dc.title | The Usage of Google-SketchUp as a Pedagogical Tool For Teaching of Signal Path-Loss Models in the Networking Engineeering Program | |
dc.type | Article | en_US |
dc.description.country | Peru | en |
dc.description.institution | Universidad de Ciencias y Humanidades | en |
dc.description.track | Software Engineering, Telecommunications, Cybersecurity and Computational tools | en |
dc.journal.referato | peerReview | |