Name
Abstract | ||
|---|---|---|
To address challenges of an unprecedented growth in mobile data traffic, the ultra-dense network deployment is a cost efficient solution to off-load the traffic over other small cells. However, the real traffic is often much lower than the peak-hour traffic and certain small cells are superfluous, which will not only introduce extra energy consumption, but also impose extra interference onto the radio environment. In this paper, an elastic energy efficient cell management scheme is proposed based on flow scheduling among multi-layer ultra-dense cells by a SDN controller. A significant power saving was achieved by a cell-level energy manager. The scheme is elastic for energy saving, adaptive to the dynamic traffic distribution in the office or campus environment. In the end, the performance is evaluated and demonstrated. The results show substantial improvements over the conventional method in terms of the number of active BSs, the handover times, and the switches of BSs. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3837/tiis.2016.09.005 | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS |
Keywords | Field | DocType |
Software defined networks,ultra-dense networks,energy management,cell management | Energy management,Control theory,Efficient energy use,Computer science,Computer network,Interference (wave propagation),Software-defined networking,Energy consumption,Handover,Distributed computing,Cost efficiency | Journal |
Volume | Issue | ISSN |
10 | 9 | 1976-7277 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guolin Sun | 1 | 1 | 3.40 |
| Prince Clement Addo | 2 | 0 | 1.01 |
| Guohui Wang | 3 | 1088 | 60.78 |
| Guisong Liu | 4 | 42 | 12.84 |