Stochastic Model for a 4 QAM Transmission Subject to the Epidemic Interference Effect
This article presents a stochastic model for the effect of interference caused by a sudden increase in the number of users that access a 4 QAM digital communication system. As demonstrated, the rapid increase in the number of users that access the system causes a non-stationary traffic in the networ...
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Published in | Entropy (Basel, Switzerland) Vol. 27; no. 6; p. 642 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Switzerland
MDPI AG
16.06.2025
MDPI |
Subjects | |
Online Access | Get full text |
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Summary: | This article presents a stochastic model for the effect of interference caused by a sudden increase in the number of users that access a 4 QAM digital communication system. As demonstrated, the rapid increase in the number of users that access the system causes a non-stationary traffic in the network. A stochastic differential approach is used to model the epidemic interference effect. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 This paper is an extended version of my paper published in “Traffic Congestion in Social Networks Caused by Epidemic Interference”, 2021 IEEE 18th Annual Consumer Communications & Networking Conference (IEEE CCNC 2021 WKSHPS TCB6GN), Las Vegas, NV, USA, 9–12 January 2021. |
ISSN: | 1099-4300 1099-4300 |
DOI: | 10.3390/e27060642 |