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
Link To Document :
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