| Issue |
ITM Web Conf.
Volume 72, 2025
III International Workshop on “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-III 2024)
|
|
|---|---|---|
| Article Number | 01008 | |
| Number of page(s) | 7 | |
| Section | Advances in Hybrid Modeling and Optimization Techniques | |
| DOI | https://doi.org/10.1051/itmconf/20257201008 | |
| Published online | 13 February 2025 | |
Simulation model of call service processes in a multiservice satellite network
1 Military Innovation Technopolis “ERA”, 41, Pionersky Avenue, Anapa, 353456, Russia
2 Siberian Federal University, 79, Svobodny pr., Krasnoyarsk, Russia
3 Reshetnev Siberian State University of Science and Technology, 31, Krasnoyarskiy Rabochiy pr., 660037, Krasnoyarsk, Russia
* Corresponding author: demichevaalena@yandex.ru
This article is the result of developing a simulation model of a multiservice satellite network for such services as voice and data transmission. The presence of several types of services leads to the need to form several procedures in the model both by the type of traffic and by the direction of transmission. At the same time, one of the main limitations in the satellite network is the finite nature of the frequency resources used, leading to call losses when establishing a connection. To assess the probabilistic and temporal characteristics of the studied satellite network, such as qualitative performance indicators, a simulation model of a satellite communication network was developed taking into account a specified number of service provision procedures and the associated parameters of communication sessions and frequency resource distribution processes. The simulation model is implemented in the GPSS Studio environment (GPSS World language) and allows analyzing the probabilistic and temporal characteristics of the system, such as the probability of packet and call losses, and the average queue value when servicing multiservice traffic. The results can be used in the synthesis, analysis and optimization of satellite data transmission networks.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.