A genetic algorithm based on calibration method of standard propagation model for urban environment

Shuaiheng Huai; Xinzhe Liu; Tianrui Liu

doi:10.1117/12.2683847

14 June 2023 A genetic algorithm based on calibration method of standard propagation model for urban environment

Shuaiheng Huai, Xinzhe Liu, Tianrui Liu

Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 1270804 (2023) https://doi.org/10.1117/12.2683847
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China

Abstract

In the context of smart city, the propagation loss prediction is essential to predict the strength of signal and interference. The Standard Propagation Model (SPM) is a widely used propagation model in wireless communication. The accuracy and unique of SPM depend on the values of parameters. In this paper, a calibration method for SPM based on the genetic algorithm is proposed and the measurement campaigns are conducted in urban areas in the city of Dalian. The experiment results show that the proposed method is feasible and has high accuracy that reduces the mean error and standard deviation effectively. It is more suitable for measuring signal propagation loss in urban environment than the original unadjusted model.

Citation Download Citation

Shuaiheng Huai, Xinzhe Liu, and Tianrui Liu "A genetic algorithm based on calibration method of standard propagation model for urban environment", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 1270804 (14 June 2023); https://doi.org/10.1117/12.2683847

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