dc.contributor.author | Moreno Delgado, José | |
dc.contributor.author | Domingo Gracia, Marta | |
dc.contributor.author | Valle López, Luis | |
dc.contributor.author | Pérez López, Jesús Ramón | |
dc.contributor.author | Torres Jiménez, Rafael Pedro | |
dc.contributor.author | Basterrechea Verdeja, José | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2017-01-13T12:10:24Z | |
dc.date.available | 2017-01-13T12:10:24Z | |
dc.date.issued | 2015-12 | |
dc.identifier.issn | 1045-9243 | |
dc.identifier.issn | 1558-4143 | |
dc.identifier.other | TEC2008-02730 | es_ES |
dc.identifier.other | TEC2012-33321 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10902/9978 | |
dc.description.abstract | This paper presents an approach that combines a ray tracing tool with a binary version of the particle swarm optimization method (BPSO) for the design of infrastructure mode indoor wireless local area networks (WLAN). The approach uses the power levels of a set of candidate access point (AP) locations obtained with the ray tracing tool at a mesh of potential receiver locations or test points to allow the BPSO optimizer to carry out the design of the WLAN. For this purpose, several restrictions are imposed through a fitness function that drives the search towards the selection of a reduced number of AP locations and their channel assignments, keeping at the same time low transmission power levels. During the design, different coverage priority areas can be defined and the signal to interference ratio (SIR) levels are kept as high as possible in order to comply with the Quality of Service (QoS) requirements imposed. The performance of this approach in a real scenario at the author´s premises is reported, showing its usefulness. | es_ES |
dc.description.sponsorship | This work was supported by the Spanish Ministry of Science and Innovation (TEC2008-02730) and the Spanish Ministry of Economy and Competitiveness (TEC2012-33321). | es_ES |
dc.format.extent | 30 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers | es_ES |
dc.rights | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. | es_ES |
dc.source | IEEE Antennas and Propagation Magazine, 2015, 57 (6), 22 - 33 | es_ES |
dc.subject.other | Cost function | es_ES |
dc.subject.other | Heuristic algorithms | es_ES |
dc.subject.other | Indoor environments | es_ES |
dc.subject.other | Particle swarm optimization | es_ES |
dc.subject.other | Ray tracing | es_ES |
dc.subject.other | Signal to interference ratio (SIR) | es_ES |
dc.subject.other | Wireless LAN | es_ES |
dc.title | Design of indoor WLANs: Combination of a ray-tracing tool with the BPSO method | es_ES |
dc.title.alternative | An approach for the design of infrastructure mode indoor WLAN based on ray tracing and a binary optimizer | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.1109/MAP.2015.2480078 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.1109/MAP.2015.2480078 | |
dc.type.version | acceptedVersion | es_ES |