Performance Analysis of a Millimeter Wave Communication System in Urban Micro, Urban Macro, and Rural Macro Environments

The signal power in wireless communication systems is influenced by various factors, including the environment. These factors include path differences, operational frequency, and environmental conditions. Consequently, designing a communication system that generates a stronger signal is highly chall...

Full description

Saved in:
Bibliographic Details
Published in:Energies (Basel) 2023-07, Vol.16 (14), p.5358
Main Authors: Sudhamani, Chilakala, Roslee, Mardeni, Chuan, Lee Loo, Waseem, Athar, Osman, Anwar Faizd, Jusoh, Mohamad Huzaimy
Format: Article
Language:English
Subjects:
5G networks
Antennas
Communications systems
Energy efficiency
Information society
Internet of Things
Machine learning
millimeter wave
path-loss models
Propagation
Receivers & amplifiers
rural environment
Spectrum allocation
urban environment
Wireless communications
Wireless networks
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The signal power in wireless communication systems is influenced by various factors, including the environment. These factors include path differences, operational frequency, and environmental conditions. Consequently, designing a communication system that generates a stronger signal is highly challenging. To address this, large-scale path-loss models are employed to estimate the path loss and signal power across different frequencies, distances, and environments. In this paper, we focused on the urban micro, urban macro, and rural macro environments to estimate path loss and signal power at millimeter wave frequencies. We compared the path loss and received power among different path-loss models developed by standard organizations. Simulation results indicate that the fifth-generation channel model provides enhanced path loss and signal power in urban micro environments, while the third-generation partnership project model performs well in urban macro and rural macro environments when compared to other path-loss models.
ISSN:1996-1073
1996-1073
DOI:10.3390/en16145358