Performance evaluation of dynamic cell zooming algorithms in omni-directional and sector-based cells

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.

Reduciendo el consumo de energía en una red de telefonía celular

“…En este método, el área de la celda se divide en múltiples zonas discretas con igual área o igual rango de potencia [13]. Se reconoce la ubicación del usuario más lejano de la radio base para que el rango de la celda se amplíe a un radio que incluya este y por consiguiente a todos los demás usuarios que se encuentren dentro de esta área.…”

An Overview of Cell Zooming Algorithms and Power Saving Capabilities in Wireless Networks

“…Therefore, application of movement based update was proposed for detection the user location. Consequently, Tun and Kunavut [48] evaluated the performance of those cell zooming algorithms and they pointed out the less possibility of movementbased location update in "continuous cell zooming" algorithm and proposed periodic location update method for user location detection in "continuous cell zooming" algorithm.…”

“…From all works, it can be firstly noticed that static (regular) switch-off algorithms give power saving of 50% as maximum since they can switch off not more than 12 hours. Another noticeable point is that the relative power saving is less than 50% if the traffic spatial distribution is considered in the algorithm [8,17,21,47,48]. It can be understood that cell zooming without switch-off will not result in considerable power consumption.…”

“…Thus, current attempts are being pertinent to cell zooming algorithms with the awareness on QoS constraints. Finally, according to the two recent works [47,48], it is likely that the researchers are turning into location management to integrate it as a mechanism in developing more reliable cell zooming algorithms in the future.…”