Performance Evaluation of Dynamic Cell Zooming Algorithms in Omni-directional and Sector-based Cells
Performance Evaluation of Dynamic Cell Zooming Algorithms in Omni-directional and Sector-based Cells
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2014
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eng
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application/pdf
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6 pages
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11th International Joint Conference on Computer Science and Software Engineering (JCSSE 2014), 158-163
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Abstract
This 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.