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A Study on Cellular Wireless Traffic Modeling and Prediction Using Elman Neural Networks
Date: 2016/5/21             Browse: 521

Paper author list:

Feixiang Ni 1,2, Yunjuan Zang1,2, Zhiyong Feng3

1.Shanghai Inst. of Microsyst. & Inf. Technol., Chinese Acad. of Sci., Shanghai, China 

2.School of Information Science and Technology, ShanghaiTech University, Shanghai, China

3.Beijing University of Posts and Telecommunications, Beijing, China


Published time



Paper title

A Study on Cellular Wireless Traffic Modeling and Prediction Using Elman Neural Networks


Paper abstract

Modern cellular resource management for dynamic control of channel resources and energy efficiency improvement relies largely on early and accurate monitoring and prediction of cellular base station traffic volumes. Analysis of network traffic volume over space and time plays an important role in traffic prediction. In this paper, we examine both the temporal and spatial characteristics of cellular traffic data generated by users in a large population city in China. We analyze and cluster base-stations of similar characteristics. We determine the sliding window sizes and integrate the Elman Neural Network (ENN) after applying wavelet transform in order to realize traffic volume prediction. We present numerical results to illustrate the accuracy of wireless traffic volume prediction, and we test the performance of our method to demonstrate improvement over some existing methods.


Conference or journals name and website

2015 4th International Conference on Computer Science and Network Technology (ICCSNT2015)


A short description of the conference or the journal:

It is the forth forum for the presentation of new advances and research results in a wide variety of scientific areas with a common interest in improving Future Computer Science, Network Technology and Communication related techniques. It is sponsored by Heilongjiang University, co-sponsored by Dalian Jiaotong University and Northeast Normal University and technical co-sponsored by IEEE Harbin Section. The proceedings of ICCSNT2015 will be included in IEEE Xplore after the review taken by IEEE conference publication group and then submitted to EI Compendex index.