Mathematical Model of Heterogeneous Traffic in LTE Networks-Reference-Cited by-同舟云学术

Mathematical Model of Heterogeneous Traffic in LTE Networks

Published:2024-03-15 Issue:3 Volume:10 Page:44-50
ISSN:2414-2948
Container-title:Bulletin of Science and Practice
language:ru
Short-container-title:

Author:

Abdyraeva N.,Mykyev Z.

Abstract

With the introduction of multimedia mobile applications in cellular networks, effective methods have been used to increase throughput. The article defines methods for dividing cellular network resources through mathematical modeling for heterogeneous traffic. The numerical properties of the indicators of joint servicing of requests, the efficiency of joint transmission of real-time traffic and elastic data traffic have been studied. Explores key uses of traffic model resource bandwidth.

Publisher

Publishing Center Science and Practice

Reference5 articles.

1. Abdyraeva, N. (2018). Feature of wireless broadband communication LTE using a fractal antenna based on Koch curve. Bulletin of Science and Practice, 4(3), 164-169

2. Антонова В. М., Козлова А. С. Анализ модели разделения ресурсов в соте сети LTE // Труды Северо-Кавказского филиала Московского технического университета связи и информатики. 2016. №1. С. 24-27.

3. Мухамеджанова А. Д., Туманбаева К. Х. Сравнительный анализ математических моделей трафика М2М // Вестник Казахстанско-Британского технического университета. 2021. Т. 16. №3. С. 150-156.

4. Vishnevsky, V. M., Samouylov, K. E., Naumov, V. A., Krishnamoorthy, A., & Yarkina, N. (2017). Multiservice Queueing System with MAP Arrivals for Modelling LTE Cell with H2H and M2M Communications and M2M Aggregation. Distributed Computer and Communication Networks, 63-74. https://doi.org/10.1007/978-3-319-66836-9_6

5. Saddoud, A., Doghri, W., Charfi, E., & Fourati, L. C. (2020). 5G radio resource management approach for multi-traffic IoT communications. Computer Networks, 166, 106936. https://doi.org/10.1016/j.comnet.2019.106936