Informatics and Applications
2024, Volume 18, Issue 2, pp 25-31
STOCHASTIC PATH LOSS MODEL IN 5G NETWORK DEPLOYMENT SCENARIOS: A STUDY BASED ON 3GPP TR 38.901
- E. D. Makeeva
- I. A. Kochetkova
- S. Ya. Shorgin
Abstract
The fifth-generation (5G) and beyond networks will utilize radio frequencies in the terahertz spectrum, enabling extremely high data transmission rates. However, signal loss may occur when signals pass through obstacles, making it crucial to simulate signal propagation using stochastic geometry and apply up-to-date models for signal attenuation. The 3GPP TR 38.901 specification includes models that describe signal attenuation in various 5G network scenarios using empirical formulas. Nevertheless, simpler formulas are typically employed to create models based on stochastic geometry. The authors present the cumulative distribution function for path loss at random user locations according to the scenarios described in 3GPP TR 38.901. In numerical examples, it is shown that the difference in values with the simplified formula can be significant and lead to underestimation of the network's capacity
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[+] About this article
Title
STOCHASTIC PATH LOSS MODEL IN 5G NETWORK DEPLOYMENT SCENARIOS: A STUDY BASED ON 3GPP TR 38.901
Journal
Informatics and Applications
2024, Volume 18, Issue 2, pp 25-31
Cover Date
2024-06-20
DOI
10.14357/19922264240204
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
wireless network; 5G; 3GPP TR 38.901; path loss; line-of-sight (LOS); non-line-of-sight (NLOS); stochastic geometry
Authors
E. D. Makeeva  ,  , I. A. Kochetkova ,  , and S. Ya. Shorgin
Author Affiliations
RUDN University, 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation
V. A. Trapeznikov Institute of Control Science of the Russian Academy of Sciences, 65 Profsoyuznaya Str., Moscow 117997, 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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