MODEL INFRASTRUCTURE IN THE FIELD OF TELEPRESENCE SERVICES

DOI: 10.31673/2786-8362.2025.027882

Abstract

An extended description is proposed for a nextgeneration model network infrastructure intended for research, academic coursework, and testing of
telepresence services under reproducible conditions. The architecture combines a terabit core, a cluster of
server platforms, holographic fans, 3D cameras and projectors, avatar robots and multipurpose robots,
augmented-reality terminals, and an IoT ecosystem for modeling ultra-dense deployments. We describe
principles of installation, network segmentation, and service orchestration, as well as load-generation and
telemetry-collection tools. Initial results are presented that outline guidelines for QoS/QoE requirements
(latency, jitter, throughput, synchronization, rendering fidelity). The testbed’s educational value and its
modularity for integration with 5G/6G, edge/fog computing, and digital twins are emphasized. Directions
for future work and criteria for comparative service testing are discussed.
Keywords: model network, telepresence, QoS, QoE, augmented reality

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