Abstract
At present, People quickly go into the era of 4 G, which requires vast amounts of 4 G base stations to be established. So How to use the algorithm to layout the base station reasonably in order to save costs for operators has become an important research content. In this context, this paper proposes a new solution--using ACIS and Google Earth techniques to establish a new Telecommunication base station site selection of the CAD system. This system on the basis of predecessors innovatively introduced the reconstructing 3 d terrain simulation system into the base station location optimization problem and used the particle swarm optimization algorithm to solve multi-objective mathematical model of the problem about base station planning problem under the condition of considering the geographic information. It can automatically produce base station primary scheme and showed the primary scheme on the reconstruction of the terrain by ACIS/HOOPS modeling techniques.
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Acknowledgment
Project supported by National Natural Science Foundation of China (61170038), Natural science foundation of Shandong Province, China (ZR2011FM001), Technology development projects of Shandong province, China (2012G0020314), Soft science research project of Shandong Province, China (2013RZB01019), Jinan City independent innovation plan project in Colleges and Universities, China (201401202), Ministry of education of Humanities and social science research projects, China (12YJA630152), Social Science Fund Project of Shandong Province, China (11CGLJ22), outstanding youth scientist foundation project of Shandong Province, China (BS2013DX037), young star of science and technology plan project, Jinan (20120108), science and technology development project, Jinan (201211003), science and technology development project, Jinan (201305004).
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Xie, Q., Liu, X., Yan, X. (2016). Base Station Location Optimization Based on the Google Earth and ACIS. In: Zu, Q., Hu, B. (eds) Human Centered Computing. HCC 2016. Lecture Notes in Computer Science(), vol 9567. Springer, Cham. https://doi.org/10.1007/978-3-319-31854-7_44
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DOI: https://doi.org/10.1007/978-3-319-31854-7_44
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