Informatics and Applications
2026, Volume 20, Issue 1, pp 45-54
MATHEMATICAL MODEL FOR THE ANALYSIS OF THE DATA TRANSMISSION PHASE IN INTERNET-OF-THINGS SYSTEMS
- A. V. Daraseliya
- K. A. Levkovich
- E. S. Sopin
- S. Prakash
- V. O. Begishev
Abstract
The paper develops a mathematical model for a massive machine-type communication (mMTC) system on Cellular Internet-of-Things (CIoT) designed for phase analysis of data transmission. The random access phase is treated as an input traffic generation mechanism and is not the subject of the detailed study. Instead, the focus is on the uplink and downlink traffic service processes accounting for limited frequency and time resources. The
model observes asynchronous packet generation by loT devices as well as the emergence of new traffic in the form of group software updates. A Markov model with field-based tools is used for analysis allowing for the capture of stationary system characteristics. Analytical expressions are provided for the average number of packets, mean transmission delay, and resource utilization. Numerical results demonstrate that static resource allocation between transmission phases significantly limits system efficiency. These findings justify the necessity for adaptive resource management in 5G/6G CIoT networks.
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[+] About this article
Title
MATHEMATICAL MODEL FOR THE ANALYSIS OF THE DATA TRANSMISSION PHASE IN INTERNET-OF-THINGS SYSTEMS
Journal
Informatics and Applications
2026, Volume 20, Issue 1, pp 45-54
Cover Date
2026-01-04
DOI
10.14357/19922264260106
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
5G; 6G; mMTC; CIoT; data transmission; delay; optimal resource allocation
Authors
A. V. Daraseliya  , K. A. Levkovich , E. S. Sopin ,  , S. Prakash , and V. O. Begishev
Author Affiliations
Peoples' Friendship University of Russia, 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation
Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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