Comparison of UMi, UMa, and RMa Path Loss Models of 5G mmWave Communication System

Citation

Sudhamani, Chilakala and Roslee, Mardeni and Chuan, Lee Loo and Waseem, Athar and Osman, Anwar Faizd and Jusoh, Mohamad Huzaimy (2024) Comparison of UMi, UMa, and RMa Path Loss Models of 5G mmWave Communication System. Lecture Notes in Networks and Systems, 812. pp. 243-256. ISSN 2367-3370

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Abstract

The signal power in wireless communication systems is influenced by its surroundings; primarily, it will be affected by the path difference, operating frequency, and environmental effects. This makes it extremely challenging to plan any communication system that will provide better signal strength. Therefore, large-scale path loss models are considered to estimate the path loss at various frequencies, distances, and in various environments. In this paper, we considered UMi, UMa, and RMa environments to estimate the LOS and NLOS path loss for frequencies from 0.5 to 100 GHz. In the millimeter wave frequency range, a comparison is made between the path loss observed and the path loss models created by different standard organizations. The simulation results demonstrate that the 5GCM model is an optimized path loss model in the urban micro-environment, similarly 3GPP model is an optimized path loss model in UMa and RMa environments. These optimized models produce enhanced path loss compared to the other path loss models. These optimized models could be used by the service providers to enhance the quality of service in 5G wireless networks.

Item Type: Article
Uncontrolled Keywords: Path loss models, Millimeter wave, Urban and rural environments, LOS and NLOS scenarios
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 02 Apr 2024 04:40
Last Modified: 02 Apr 2024 04:40
URII: http://shdl.mmu.edu.my/id/eprint/12277

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