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

<p>With the popularization and development of communication technology, the resource allocation problem of satellites has become a hot research topic. This study proposes a model for satellite resource allocation through the development of a beam mobilization system model and problem modeling. Then, on the basis of the linear stochastic gradient descent method, the classification accuracy of the algorithm is improved by adjusting the algorithm-solving method. Then its weight assignment method is improved to get the improved weighted linear stochastic gradient descent method. Using the optimized weighted linear stochastic gradient descent method to solve the satellite resource allocation problem from the perspective of the original problem, a model based on IWLSGD is designed and tested for performance. Through simulation experiments, the beam allocation service value of the satellite resource allocation model in this paper is 193, which is 4.32% and 3.21% higher than that of LSGD and WLSGD, respectively, and iterative convergence is faster, and its operation time and service value performs the best under different numbers of communication time slots. The system revenue, system access success rate, and system satisfaction under the interference environment between LEO and GEO are maintained at 15208, 0.8~1.0, and 85%, and keep around 7500, 1, and 75% under 5G base station interference. The satellite resource allocation model in this paper can effectively improve the utilization efficiency of communication resources and better adapt to dynamically changing interference scenarios.</p>
</abstract>

With the popularization and development of communication technology, the resource allocation problem of satellites has become a hot research topic. This study proposes a model for satellite resource allocation through the development of a beam mobilization system model and problem modeling. Then, on the basis of the linear stochastic gradient descent method, the classification accuracy of the algorithm is improved by adjusting the algorithm-solving method. Then its weight assignment method is improved to get the improved weighted linear stochastic gradient descent method. Using the optimized weighted linear stochastic gradient descent method to solve the satellite resource allocation problem from the perspective of the original problem, a model based on IWLSGD is designed and tested for performance. Through simulation experiments, the beam allocation service value of the satellite resource allocation model in this paper is 193, which is 4.32% and 3.21% higher than that of LSGD and WLSGD, respectively, and iterative convergence is faster, and its operation time and service value performs the best under different numbers of communication time slots. The system revenue, system access success rate, and system satisfaction under the interference environment between LEO and GEO are maintained at 15208, 0.8~1.0, and 85%, and keep around 7500, 1, and 75% under 5G base station interference. The satellite resource allocation model in this paper can effectively improve the utilization efficiency of communication resources and better adapt to dynamically changing interference scenarios.

Exploration of the application of optimisation algorithm using stochastic gradient descent method in satellite resource allocation

Science and Technology on Complex Electronic System Simulation Laboratory

Applied Mathematics and Nonlinear Sciences

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

With the popularization and development of communication technology, the resource allocation problem of satellites has become a hot research topic. This study...

Exploration of the application of optimisation algorithm using stochastic gradient descent method in satellite resource allocation

Publicado en línea: 02 jul 2024

Páginas: -

Recibido: 11 mar 2024

Aceptado: 04 jun 2024

DOI: https://doi.org/10.2478/amns-2024-1527

Palabras clave
Stochastic gradient descent method, Beam assignment, Simulation experiment, Performance test, Satellite resource allocation

© 2024 Demin Zhao et al., published by Sciendo

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

Exploration of the application of optimisation algorithm using stochastic gradient descent method in satellite resource allocation

Publicado en línea: 02 jul 2024

Páginas: -

Recibido: 11 mar 2024

Aceptado: 04 jun 2024

DOI: https://doi.org/10.2478/amns-2024-1527

Palabras claveStochastic gradient descent method, Beam assignment, Simulation experiment, Performance test, Satellite resource allocation

© 2024 Demin Zhao et al., published by Sciendo

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

Palabras clave
Stochastic gradient descent method, Beam assignment, Simulation experiment, Performance test, Satellite resource allocation