Data transmission latency mathematical model in an SDN-controlled 5G network

Authors

DOI:

https://doi.org/10.30837/rt.2025.3.222.17

Keywords:

сontrollers, configuration, network, services, protocol, index, quality, platform, modeling

Abstract

Next-generation services are considered and grouped into the following categories: enhanced mobile broadband access, massive connectivity and machine-type data exchange, and ultra-reliable communication with low latency. To support these diverse service delivery scenarios, 5G networks must meet the key requirements of the Quality of Service (QoS) system.

The technologies and main configuration methods of SDN OpenFlow controllers interacting with the data processing center of the 5G network are examined. OpenFlow is the primary protocol of SDN architecture. Controllers use the OpenFlow protocol to communicate with switches (forwarding devices). OpenFlow is vendor-independent, meaning the controller can interact with any switch regardless of its manufacturer.

Quality indicators calculations and probabilistic–temporal analysis of information processing are typically performed at the data processing center of the distributed control system for controlled objects (CO), based on an interaction model between each user and the RAP, with OpenFlow protocol support via the SDN platform for 5G networks.Failures in the operation of SDN controllers are minimized through timely decision-making aimed at ensuring reliability and security indicators for the functioning of controlled consumer  (CO)objects within 5G networks.

At the data processing center of the distributed control system for controlled objects based on the OpenFlow SDN platform in 5G networks, the key tasks involve calculating the specified delay metrics using a dedicated mathematical model. A model has been proposed, followed by computation, analysis, and assessment of data transmission latency during the management of 5G network elements on the SDN platform and recommendations are provided for selecting a control system configuration scenario.

References

Introduction to 3GPP and 3GPP 5G Releases 15, 16 and 17. URL: https://5g.security/miot-5g/5g-3gpp-releases-15-16-17.

Barakabitze A., Barman N., hmad A., Zadtootaghaj S., Sun L., G. Martini M., Atzori L. QoE management of multimedia streaming services in future networks: A tutorial and survey // IEEE Commun. Surv. Tutor. 22(1) (2019). P.526-565.

ETSI TS 123 501 V16.6.0 (2020-10) URL: https://www.etsi.org/deliver /etsi_ts/123500_123599 /123501 /16.06.00_60/ts_123501v160600p.pdf.

Downloads

Published

2025-09-18

How to Cite

Kadatskaya, O., & Saburova, S. (2025). Data transmission latency mathematical model in an SDN-controlled 5G network. Radiotekhnika, (222), 184–191. https://doi.org/10.30837/rt.2025.3.222.17

Issue

No. 222 (2025): Radiotekhnika

Section

Articles

License

Authors who publish with this journal agree to the following terms:

1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).