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dc.contributor.authorTun, Khin Cho
dc.contributor.authorKunagorn Kunavut
dc.date.accessioned2018-06-28T01:43:25Z
dc.date.available2018-06-28T01:43:25Z
dc.date.issued2014
dc.identifier.citation11th International Joint Conference on Computer Science and Software Engineering (JCSSE 2014), 158-163en_US
dc.identifier.urihttp://repository.au.edu/handle/6623004553/21187
dc.description.abstractThis paper evaluates and highlights the performance of three dynamic cell zooming algorithms applied in both omni-directional and sector-based networks. A possible framework compatible with dynamic cell zooming algorithms for user’s location detection is presented. The performance of each cell zooming algorithm is simulated in terms of power saving and possible outage in a full-day operation. According to simulated results, there is no significant difference between the performance of each algorithm and others at low traffic hours, but their performances are different at high traffic hours. From an overall comparison, the continuous cell zooming algorithm illustrates the best performance in terms of power saving, followed by fuzzy algorithm and then discrete algorithm. However, in terms of possible outage, the continuous algorithm is very sensitive to user movement and it shows a very high possible outage ratio. Meanwhile, the outage is totally removed in the discrete and fuzzy algorithms according to their concept. The dynamic cell zooming algorithms show a larger power saving in sector-based network since it hosts a more detailed plan to perform cell zooming.en_US
dc.format.extent6 pagesen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoengen_US
dc.subjectPerformance evaluationen_US
dc.subjectCell zoomingen_US
dc.subjectEnergy savingen_US
dc.subjectOmni-directional cellen_US
dc.subjectSector-based cellen_US
dc.subjectWireless networksen_US
dc.titlePerformance Evaluation of Dynamic Cell Zooming Algorithms in Omni-directional and Sector-based Cellsen_US
dc.typeTexten_US
dc.rights.holderTun, Khin Choen_US
dc.rights.holderKunagorn Kunavuten_US
mods.genreConference Paperen_US
au.link.externalLink[Full Text] (https://ieeexplore.ieee.org/abstract/document/6841860/)


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