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

Paper author list:

Feixiang Ni ^1,2,Yunjuan Zang^1,2, 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：

2015.12

Paper title：

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

Paper abstract：

Modern cellular resourcemanagement 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 overspace 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 sizesand 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 journal’s name and website：

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

http://www.iccsnt.org/

A short description of theconference or the journal:

It is the forth forum forthe 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 ICCSNT 2015 will be included in IEEE Xplore after the review taken by IEEE conference publication group and then submitted to EI Compendex index.