An optimal self-learning estimator for location prediction and resource reservation in wireless radio networks

Hsien Ming Tsai, Tzu Chinag Chiang, Yueh-Min Huang

Research output: Contribution to conferencePaper

Abstract

This study purposes the technology to predict the moving route of a mobile host by means of the advantage of the predicting ability of our self-learning estimatorby using Back Propagation Artificial Neural Network (BPANN). It can predict the most possible neighbor base stations which the mobile host will move into their covering areas, and then reserve the channel of these base stations. This technology could improve the situation, in which a mobile host would occupy one channel on rest of the base stations nearby, but the real situation in which only one channel of each base station would be used by the mobile host at one time. Therefore occupying the other 5 unused channels is really a waste of resources. Using Back Propagation Artificial Neural Network, our estimator could predict the route of the mobile host and to reserve the channels of the most possible base stations. Hence, the utility rate of the channels or the bandwidth could be increased for coping with the coming of the future 4G IP mobile telecommunication. Meanwhile, it could also solve the problem when a mobile host is at the edges of adjacent base station covering areas, the signal transferring could be interrupted due to a slow hand off. From the simulations, we tested and guaranteed the accuracy of the moving route prediction of our estimator at city streets, countryside roads, and even those zigzag paths at hilly areas, almost without deviation and also made a perfect hand off without interruption.

Original languageEnglish
Pages5162-5171
Number of pages10
Publication statusPublished - 2006 Dec 1
Event36th International Conference on Computers and Industrial Engineering, ICC and IE 2006 - Taipei, Taiwan
Duration: 2006 Jun 202006 Jun 23

Other

Other36th International Conference on Computers and Industrial Engineering, ICC and IE 2006
CountryTaiwan
CityTaipei
Period06-06-2006-06-23

Fingerprint

Base stations
Backpropagation
Neural networks
Telecommunication
Bandwidth

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

Cite this

Tsai, H. M., Chiang, T. C., & Huang, Y-M. (2006). An optimal self-learning estimator for location prediction and resource reservation in wireless radio networks. 5162-5171. Paper presented at 36th International Conference on Computers and Industrial Engineering, ICC and IE 2006, Taipei, Taiwan.
Tsai, Hsien Ming ; Chiang, Tzu Chinag ; Huang, Yueh-Min. / An optimal self-learning estimator for location prediction and resource reservation in wireless radio networks. Paper presented at 36th International Conference on Computers and Industrial Engineering, ICC and IE 2006, Taipei, Taiwan.10 p.
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Tsai, HM, Chiang, TC & Huang, Y-M 2006, 'An optimal self-learning estimator for location prediction and resource reservation in wireless radio networks' Paper presented at 36th International Conference on Computers and Industrial Engineering, ICC and IE 2006, Taipei, Taiwan, 06-06-20 - 06-06-23, pp. 5162-5171.

An optimal self-learning estimator for location prediction and resource reservation in wireless radio networks. / Tsai, Hsien Ming; Chiang, Tzu Chinag; Huang, Yueh-Min.

2006. 5162-5171 Paper presented at 36th International Conference on Computers and Industrial Engineering, ICC and IE 2006, Taipei, Taiwan.

Research output: Contribution to conferencePaper

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Tsai HM, Chiang TC, Huang Y-M. An optimal self-learning estimator for location prediction and resource reservation in wireless radio networks. 2006. Paper presented at 36th International Conference on Computers and Industrial Engineering, ICC and IE 2006, Taipei, Taiwan.