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A Swarm of Robotic Network Coordinators for Enabling the Group of Telepresence Suits

https://doi.org/10.31854/1813-324X-2026-12-4-75-82

EDN: NXRCCT

Abstract

Relevance. There is a development of new technologies, in particular the transition from 5G/IMT2020 to 6G/IMT–2030 communication networks, implies the use of new scenarios and services. Sixth-generation networks have significantly increased the quality and quantity of services, such as immersive technologies, holographic type communications, etc. Thus, it is necessary to develop new models and methods that support high standards of communication quality.

The purpose of this study is to develop a scenario for maintaining communication quality in user dynamics in conditions of ultra-high dense networks and to determine the route of a repeater coordinator serving as a mobile base station.

The paper uses methods of fuzzy clustering of users, stochastic models of queuing, as well as numerical modeling of service quality indicators.

Results. The dependence of the target function of the quality of service on the trajectory of the repeater coordinator is obtained.

The novelty lies in the development of a method for providing communication in ultra-dense networks based on the use of a swarm of repeater robots and determining their route based on the requirements.

The practical significance lies in the possibility of using the scenario in interaction with a swarm of robots to unload the network or maintain communication quality.

About the Authors

V. V. Dmitrieva
The Bonch-Bruevich Saint Petersburg State University of Telecommunications
Russian Federation


A. N. Volkov
The Bonch-Bruevich Saint Petersburg State University of Telecommunications
Russian Federation


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Review

For citations:


Dmitrieva V.V., Volkov A.N. A Swarm of Robotic Network Coordinators for Enabling the Group of Telepresence Suits. Proceedings of Telecommunication Universities. 2026;12(4):75-82. (In Russ.) https://doi.org/10.31854/1813-324X-2026-12-4-75-82. EDN: NXRCCT

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ISSN 1813-324X (Print)
ISSN 2712-8830 (Online)