Projects per year
Abstract
Channel models are routinely used to evaluate the performance of a mobile communication systems. An appropriate channel model accurately predicts the signal propagation in a given radio environment and thus, enables the credible system analysis. Yet, shortcomings in the channel model may lead to either too pessimistic or, on the other hand, overoptimistic system performance results. In this paper we evaluate the 3rd Generation Partnership Project (3GPP) street canyon model (TR 38.901, Release 14) in a Manhattan environment against the Shoot and Bouncing Ray (SBR) method based Ray Tracing (RT) model. Simulations are performed at three different frequencies i.e. 1.8 GHz, 3.5 GHz, and 28 GHz. Simulation results indicate that in Manhattan microcellular system setup, the 3GPP model provides more optimistic coverage and capacity results as compared with the deterministic approach of ray tracing. While ray tracing provides more realistic results, we propose a new path loss model based on ray tracing results. The performance of the proposed model is in a close agreement with ray tracing results and thus, it can be used for precise and accurate cell coverage prediction.
Original language | English |
---|---|
Title of host publication | Proceedings of the 2020 27th International Conference on Telecommunications, ICT 2020 |
Publisher | IEEE |
Number of pages | 5 |
ISBN (Electronic) | 9781728165875 |
DOIs | |
Publication status | Published - 5 Oct 2020 |
MoE publication type | A4 Conference publication |
Event | International Conference on Telecommunications - Bali, Indonesia Duration: 5 Oct 2020 → 7 Oct 2020 Conference number: 27 |
Conference
Conference | International Conference on Telecommunications |
---|---|
Abbreviated title | ICT |
Country/Territory | Indonesia |
City | Bali |
Period | 05/10/2020 → 07/10/2020 |
Keywords
- 3GPP
- 5G
- Millimeter wave
- Simulations
- System performance
- Ultra dense network
Fingerprint
Dive into the research topics of 'Performance comparison of ray tracing and 3 GPP street canyon model in microcellular environment'. Together they form a unique fingerprint.Projects
- 3 Finished
-
5G-FORCE: 5G Finnish Open Research Collaboration Ecosystem
Costa Requena, J. (Principal investigator)
01/01/2019 → 31/03/2021
Project: Business Finland: Other research funding
-
Low Overhead Wireless Access Solutions for Massive and Dynamic IoT Connectivity
Hämäläinen, J. (Principal investigator)
12/04/2017 → 31/12/2019
Project: Academy of Finland: Other research funding
-
Fundamentals of cellular system topology revisited: characterizing and analysing future irregular network deployments
Hämäläinen, J. (Principal investigator)
01/09/2015 → 31/08/2019
Project: Academy of Finland: Other research funding