The Prediction of 4G Traffic for Customer’s Demand of Lao Telecommunications Company Using Statistical Method

Chanthasone Boulom; Soukan Khounpaseth; Kham Khanthavivone

doi:10.4028/www.scientific.net/AMM.848.111

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 848The Prediction of 4G Traffic for Customer’s Demand...

The Prediction of 4G Traffic for Customer’s Demand of Lao Telecommunications Company Using Statistical Method

Abstract:

This paper aims to study the prediction of 4G traffic for customer’s demand of Lao Telecommunications Company (LTC) using statistical method called Cubic method. The data used in our paper are the actual number of customers and the actual bandwidth used by the customers in each month. Those actual data used for predicting the future number of customers and bandwidth used by the customers are collected from January 2014 to April 2015. The accuracy of the prediction is evaluated by using the Mean Square Error (MSE). In our paper, the derived average accuracy is 98%, the results may be used to considering for improving the throughput of Evolved Packet Core (EPC) there by providing the better service to the customer.

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Periodical:

Applied Mechanics and Materials (Volume 848)

Pages:

111-114

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.848.111

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Online since:

July 2016

Authors:

Chanthasone Boulom*, Soukan Khounpaseth, Kham Khanthavivone

Keywords:

4G, Evolved Packet Core, Exponential Smoothing Model, LTC

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* - Corresponding Author

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