Name
Title | ||
|---|---|---|
Network Scaling for Achieving Energy Efficient Cellular Networks - A Quantitative Analysis |
Abstract | ||
|---|---|---|
In this paper, we consider a network scaling approach to realize network energy savings (NES). As cellular networks are typically deployed to meet the high traffic demand during the busy hour, a scaled down version of the network should be able to effectively handle the low traffic load in the off-peak hours without compromising the network performance. In order to demonstrate the realistic utility of this idea, we conducted a network energy savings analysis for a commercially deployed dual-carrier UMTS network. In an urban area, it is found that 20% - 35% of the cells can be switched off during the off-peak hours even after turning off one carrier entirely. Based on the base station energy consumption model developed from the measurements in commercial base stations, this translates to 11% network energy savings. In a suburban area, on the other hand, it is found that approximately 12% of the sites can be switched off after disabling one carrier. This still offers 8% network energy savings. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/VETECF.2011.6093101 | VTC Fall |
Keywords | Field | DocType |
traffic load,network energy saving,network scaling,cellular radio,base station energy consumption model,energy conservation,energy efficient cellular networks,traffic demand,3g mobile communication,energy consumption,dual-carrier umts network,telecommunication traffic,commercial base station,quantitative analysis,network performance,base station,mobile communication,cellular network,energy efficient,base stations,switches | Base station,Energy conservation,Network information system,Efficient energy use,Computer science,Computer network,Cellular network,Energy consumption,Network traffic control,Network performance | Conference |
ISSN | ISBN | Citations |
1090-3038 | 978-1-4244-8328-0 | 3 |
PageRank | References | Authors |
0.42 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bongyong Song | 1 | 312 | 26.08 |
| Soumya Das | 2 | 4 | 1.24 |
| Fabio Akashi | 3 | 3 | 0.42 |
| Christophe Chevallier | 4 | 3 | 0.42 |
| S. S. Soliman | 5 | 331 | 44.42 |