SLIIT Journal Publications

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Author: search.filters.author.Volkov, AHas files: Yes

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    PublicationOpen Access
    Highly Efficient 3D Object Transmission System for HTC Services in 6G Networks
    (Faculty of Engineering, 2026-03) Svechnikov, D; Volkov, A; Marochkina,A; Muthanna, A; Kouhceryavy, A
    In recent years, advancements in technology have brought forth a new frontier in visual communication. Holography is a technique that captures and reproduces three-dimensional (3D) images with an unprecedented level of realism and depth, has emerged as a groundbreaking method for conveying visual information. Unlike traditional images and videos, holography recreates scenes with full parallax, enabling viewers to perceive objects from various angles. The transmission of holographic images presents both exciting possibilities and unique challenges. To this end, this article conducts a comparative analysis of a previously developed application system for transmitting dynamic 3D human movements with a ready-made solution for transmitting 2D video streams in order to provide conference calling services. The network characteristics of the systems were collected and compared. The opportunities that programs currently provide and will provide in the future are examined.
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    PublicationOpen Access
    Fog computing power for telepresence suit as user terminal for Metaverse
    (Faculty of Engineering, 2026-01) Mogilatov, V; Kaijalainen, V; Volkov, A; Muthanna, A; Koucheryavy, A.
    Fog computing represents an emerging paradigm in information and communication technologies that is becoming pivotal for meeting the growing performance requirements of modern computing systems, particularly in the context of the Internet of Things (IoT) and real-time services. One of the most promising 2030-network service classes enabled by fog is telepresence. This paper investigates both the theoretical and practical aspects of deploying fog-computing solutions in telepresence networks to minimize latency and enhance overall system performance. The study combines analytical modelling with discrete-event simulations carried out in Any Logic.