To search, Click below search items. |
| All Published Papers Search Service |
|
|
|
Title |
Performance Comparison of Prediction Techniques for 3G Cellular Traffic |
|
Author |
Latif Ullah Khan |
| Citation |
Vol. 17 No. 2 pp. |
|
Abstract |
Reducing the energy consumption of the cellular networks is not only a matter of interest to the network operators, but also important to the environment because the increase in energy consumption of the cellular networks will result in the increase in fuel usage which will further add the CO2 emissions to the environment. In this paper, the dynamic operation of the cellular network is discussed. For dynamic operation of the cellular network, it is necessary to first estimate the cellular traffic. The future cellular traffic is estimated using the single exponential smoothing model and Fractionally Integrated Auto-regressive Moving Average (FARIMA). The data used for performance analysis of the single exponential smoothing model and FARIMA is of 3G cellular system in Pakistan. |
|
Keywords |
Cell zooming, single exponential smoothing model, mean absolute error. |
|
URL |
