@article{378,
author = "Zhengyan Xie and Zhongqing Zhao",
abstract = "In this paper, the base station uplink and downlink traffic load is modeled. Based on the traffic data in several cells for a period of time, short-term and long-term traffic predictions are made utilizing gray prediction, LSTM model, and ARIMA model, respectively. The number of carrier frequencies needed by base stations in each time can be selected according to the prediction, and capacity of certain base station can be optimized in advance for the mobile communication operator. This enables mobile operators to rationalize the planning and design of base station capacity in advance.",
issn = "23942894",
journal = "IJASM",
keywords = "Data Segmentation Statistics;Base Station Traffic;Gray Prediction;LSTM Model",
month = "May",
number = "3",
pages = "23-37",
title = "{A} {M}ethod of {C}ellular {B}ase {S}tation {T}raffic {P}rediction",
volume = "8",
year = "2021",
}