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Field Strength Data Processing for Wireless Mobile Communication Based on Genetic Algorithm Applied to Least Square Polynomial Fitting

Abstract— In wireless communication system, the signal strength is one of the basic parameter to assess the coverage by the base station antenna. Diverse methods can be used to collect or estimate this information for the design and optimization of mobile communication system. This paper focuses on the field strength data processing where an appropriate model which is the polynomial fitting that is a best fit (in a least-squares sense) for field strength data, then the study is reformulated as a problem of optimization where genetic algorithm (GA) is further used to adjust the model coefficients that the aim is to more minimize the error between the estimated field strength and measured field strength data and match them as close as possible. The field strength data which will be processed is estimated by ray tracing technique based on threedimensional geometric theory, geometrical optics theory and the uniform theory of diffraction (UTD). The polynomial fitting and genetic algorithms are coded in MATLAB software and the display of results is accomplished using MapInfo interface .The result of simulation is compared with measured data that obtained using devices.

Index Terms— Mobile Communication, Ray Tracing，Grid Partitioning，Field Strength Processing, Least Square Polynomial Fitting, Genetic Algorithm.

SEGGANI HIZIA
Department of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics (BUAA), CHINA
Gao Qiang
Department of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics (BUAA), CHINA

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Cite: SEGGANI HIZIA, Gao Qiang, "Field Strength Data Processing for Wireless Mobile Communication Based on Genetic Algorithm Applied to Least Square Polynomial Fitting," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 921-927, Beijing, 25-27 June, 2017.