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5G Wireless Network Digital Twin System Based on High Precision Simulation

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Book cover Methods and Applications for Modeling and Simulation of Complex Systems (AsiaSim 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1713))

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Abstract

For a long time, the wireless signals of the communication network are invisible and intangible, which brings difficulties in recognizing and maintaining the network. We can achieve mathematical modeling and quantitative analysis of 5G wireless signals with the help of the ray tracing propagation model. Furthermore, we can build a 5G wireless network digital twin system through the high-precision simulation calculation and GIS presentation in the horizontal and vertical dimensions. In order to ensure the accuracy of the simulation, the coefficient correction of the ray tracing model is carried out by using the combination of the Lagrangian function and the KKT boundary condition. The 5G wireless network digital twin system can be precisely obtained through the corrected propagation model. Based on the digital twin system, the weak coverage areas of 5G network can be accurately located and the weak coverage buildings can also be accurately identified. In this way, we can carry out engineering parameter optimization and 5G indoor base station planning even in off-site work. The 5G wireless network digital twin system can achieve the goals of cost reduction and accurate resource allocation, which is of great guiding significance for engineering practice.

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Correspondence to Zhongqiu Xiang .

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Xiang, Z. et al. (2022). 5G Wireless Network Digital Twin System Based on High Precision Simulation. In: Fan, W., Zhang, L., Li, N., Song, X. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2022. Communications in Computer and Information Science, vol 1713. Springer, Singapore. https://doi.org/10.1007/978-981-19-9195-0_16

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  • DOI: https://doi.org/10.1007/978-981-19-9195-0_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9194-3

  • Online ISBN: 978-981-19-9195-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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