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

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....

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Lecture Notes in Networks and Systems
المؤلف الرئيسي: Sudhamani C.; Roslee M.; Chuan L.L.; Waseem A.; Osman A.F.; Jusoh M.H.
التنسيق: Conference paper
اللغة:English
منشور في: Springer Science and Business Media Deutschland GmbH 2024
الوصول للمادة أونلاين:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187778588&doi=10.1007%2f978-981-99-8031-4_23&partnerID=40&md5=73cf66b7b60ff6b9fd124efc961cb80a
الوصف
الملخص: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. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
تدمد:23673370
DOI:10.1007/978-981-99-8031-4_23