<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the development of technology, the 5th-generation mobile communication technology is becoming more and more mature, and the LTE wireless network is in the peak of application. Although the current wireless propagation model has good adaptability, the prediction accuracy of signal propagation in various specific environments is low; therefore, the wireless propagation model needs to be corrected. The LTE wireless network propagation model was optimised by using the neural network algorithm and corrected by combining with the actual geomorphic characteristics of the experimental area so as to improve the accuracy of simulation prediction of the signal in the service coverage area by the propagation model and provide reference for wireless network planning.</p>
</abstract>

With the development of technology, the 5th-generation mobile communication technology is becoming more and more mature, and the LTE wireless network is in the peak of application. Although the current wireless propagation model has good adaptability, the prediction accuracy of signal propagation in various specific environments is low; therefore, the wireless propagation model needs to be corrected. The LTE wireless network propagation model was optimised by using the neural network algorithm and corrected by combining with the actual geomorphic characteristics of the experimental area so as to improve the accuracy of simulation prediction of the signal in the service coverage area by the propagation model and provide reference for wireless network planning.

LTE wireless network coverage optimisation based on corrected propagation model

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"LTE wireless network coverage optimisation based on corrected propagation model"}

With the development of technology, the 5th-generation mobile communication technology is becoming more and more mature, and the LTE wireless network is in the...

LTE wireless network coverage optimisation based on corrected propagation model

Online veröffentlicht: 30. Nov. 2022

Seitenbereich: 2681 - 2694

Eingereicht: 15. Juni 2022

Akzeptiert: 08. Aug. 2022

DOI: https://doi.org/10.2478/amns.2021.2.00266

Schlüsselwörter
LTE wireless network, propagation model correction, neural network algorithm, network planning optimisation

© 2023 Bo Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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LTE wireless network coverage optimisation based on corrected propagation model

Online veröffentlicht: 30. Nov. 2022

Seitenbereich: 2681 - 2694

Eingereicht: 15. Juni 2022

Akzeptiert: 08. Aug. 2022

DOI: https://doi.org/10.2478/amns.2021.2.00266

SchlüsselwörterLTE wireless network, propagation model correction, neural network algorithm, network planning optimisation

© 2023 Bo Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Schlüsselwörter
LTE wireless network, propagation model correction, neural network algorithm, network planning optimisation