5G TARMOQLARINI LOYIHALASH VA MODELLASHTIRISH: ARXITEKTURALAR, ASOSIY ISHLASH KO‘RSATKICHLARI

Authors

  • Raykhon Abilova

DOI:

https://doi.org/10.47390/ts-v3i8y2025No2

Keywords:

5G, Network Design, Network modeling, Key Performance Indicators (KPIs), Network Slicing, URLLC, System level Simulation

Abstract

5G networks focus on meeting requirements such as wide coverage, high transmission rates, low latency, and device density. This article will analyze the main architectural approaches to the design and modeling of 5G networks, the main indicators (KPIs), as well as the problems encountered in practical design. Through Model and simulation tools, the relationship between architectural and functional parameters is demonstrated. As well as suggestions for matching various services, resource efficiency, and network slice (slices) management.

References

1. Ericsson, “5G Radio Access Network Architecture – Design Guidelines and Key Considerations,” Ericsson Research, 2016.

2. Wang, J., Weitzen, J., Bayat, O. et al., “AI for Industrial: Automate the Network Design for 5G URLLC services,” Neural Computing & Applications, 2024.

3. Mehrdad Shariat et al., “A Flexible Network Architecture for 5G Systems,” Wireless Communications and Mobile Computing, 2019.

4. “Open, Programmable, and Virtualized 5G Networks: State of the Art and the Road Ahead,” Bonati et al., arXiv, 2020.

5. “5G NR System Design: a concise survey of key features and capabilities,” Wireless Networks, Springer, 2021.

6. “Key Performance Indicators for 5G network slicing,” Kuklinski et al., 5G Drive project documents, 2021.

7. F.E.Qodirov, D.F.Omonova “5G texnologiyasi va uning tarmoqlarga ta’siri” Наука и технология в современном мире, 4(5), 143–148. 2025 https://doi.org/10.5281/zenodo.15117563

Downloads

Submitted

2025-10-11

Published

2025-10-11

How to Cite

Abilova , R. (2025). 5G TARMOQLARINI LOYIHALASH VA MODELLASHTIRISH: ARXITEKTURALAR, ASOSIY ISHLASH KO‘RSATKICHLARI. Techscience Uz - Topical Issues of Technical Sciences, 3(8), 9–13. https://doi.org/10.47390/ts-v3i8y2025No2

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