DocumentCode
3490935
Title
An Enhanced Inversion Propagation Model Using Simple Genetic Algorithm for a Single Cell Coverage Prediction
Author
Wang, Yuhao ; Zhou, Huilin ; Jiang, Hong
Author_Institution
Sch. of Inf. Eng., Nanchang Univ., Nanchang
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
1120
Lastpage
1123
Abstract
In this paper, an enhanced inversion propagation model for a single cell coverage prediction is presented. We have simplified a complicated propagation problem to a system of large scale ill-condition equations by inversion method, which can be solved by simple genetic algorithm (GA) appropriately. The effectiveness of the proposed method has been demonstrated using experiments under various radio environments in Guang Dong, China. It was shown that the prediction results were approximately consistent with independent checking samples.
Keywords
cellular radio; genetic algorithms; mobile communication; enhanced inversion propagation model; large scale ill condition equations; simple genetic algorithm; single cell coverage prediction; Computed tomography; Equations; Fading; Genetic algorithms; Genetic engineering; Large-scale systems; Loss measurement; Power system modeling; Predictive models; Propagation losses;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.286
Filename
4340061
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