Aiming at the limitation of Markov chain prediction

a Markov chain forecasting method is proposed to calculate and superpose the order amount of the 4G roaming data quantitatively. In the Dingxi prefecture’s order amount of the 4G roaming data in february for example

it is classified by status

which includes fi ve parts

the unsalable

the partial unsalable

the general

the popular and the bestselling. The model of the region’s 4G roaming data ordering amount is established by using the additive Markov chain method

through weighted averages of the predicted value obtained by the different step transfer matrix. Last but not least

the results show that the prediction accuracy of the model is up to 87.99%

and the prediction effect is good

which provides a method for the prediction of 4G traffi c order quantity.