Informatics and Applications
2023, Volume 17, Issue 3, pp 25-32
MODELING INSISTENT USER BEHAVIOR IN 5G NEW RADIO NETWORKS WITH RATE ADAPTATION AND BLOCKAGE
- E. S. Sopin
- A. R. Maslov
- V. S. Shorgin
- V. O. Begishev
Abstract
Millimeter wave 5G New Radio access technology and future 6G terahertz systems are designed for rate-demanding multimedia applications. Such applications are adaptive to the network transmission rate. The unreliable nature of 5G/6G communications networks, subject to loss of connection due to dynamic blockage of radio propagation paths, can cause impatient user behavior leading to retries to continue service. For such systems, the authors propose a service model with impatient behavior and service interruption based on a resource queuing system with an orbit. The authors derive the new and ongoing session loss probabilities as well as characterize the efficiency of resource usage. Numerical results show that user persistence reduces the probabilities under consideration: performing an average of two retries reduces both indicators by 20%-70% while with an average of 10 attempts, the gain can reach 200%-300%. Persistence not only increases the use of system resources by 20%-40% but also allows them to be used efficiently reducing the percentage of wasted resources by two to three times.
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[+] About this article
Title
MODELING INSISTENT USER BEHAVIOR IN 5G NEW RADIO NETWORKS WITH RATE ADAPTATION AND BLOCKAGE
Journal
Informatics and Applications
2023, Volume 17, Issue 3, pp 25-32
Cover Date
2023-10-10
DOI
10.14357/19922264230304
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
5G; New Radio; resource queuing system; callbacks; propagation blocking; service interruption
Authors
E. S. Sopin , , A. R. Maslov , V. S. Shorgin , and V. O. Begishev
Author Affiliations
RUDN University, 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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