Geok, Tan Kim and Hossain, Ferdous and Rahim, Sharul Kamal Abdul and Elijah, Olakunle and Eteng, Akaa A. and Loh, Chun Theng and Li, Lim Li and Tso, C. P. and Abd Rahman, Tharek and Hindia, M. Nour (2022) 3D RT adaptive path sensing Method: RSSI modelling validation at 4.5 GHz, 28 GHz, and 38 GHz. Alexandria Engineering Journal, 61 (12). pp. 11041-11061. ISSN 1110-0168, DOI https://doi.org/10.1016/j.aej.2022.04.033.
Full text not available from this repository.Abstract
This paper explains a new Adaptive Path Sensing Method (APSM) for indoor radio wave propagation prediction. Measurement campaigns, which cover indoor line-of-sight (LoS), non-line-of-sight (NLoS) and different room scenarios, are conducted at the new Wireless Communication Centre (WCC) block P15a) of Universiti Teknologi Malaysia (UTM), Johor, Malaysia. The proposed APSM is evaluated through a computerized modelling tool by comparing the Received Signal Strength Indicator (RSSI) with measurement data and the conventional Shooting-Bouncing Ray Tracing (SBRT) method. Simulations of the APSM and SBRT are performed with the same layout of the new WCC block P15a by using the exact building dimensions. The results demonstrate that the proposed method achieves a better agreement with measured data, compared to the conventional SBRT outputs. The reduced computational time and resources required are also important milestones to ray tracing technology. The proposed APSM method can assist engineers and researchers to reduce the time required in modelling and optimizing reliable radio propagation in an indoor environment. (c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
| Item Type: | Article |
|---|---|
| Funders: | Multimedia University [Grant No:FRGS/1/2018/TK08/MMU/02/1], Kementerian Pengajian Tinggi (KPT) Malaysia [Grant No:FRGS/1/2018/TK08/MMU/02/1], KPT, Universiti Teknologi Malaysia (UTM) [Grant No:FRGS/1/2018/TK08/MMU/02/1], Universiti Teknologi Malaysia (UTM) [Grant No:Q.J130000.21A2.5F237] |
| Uncontrolled Keywords: | Measurement; Modelling; Radio propagation; Ray tracing; RSSI |
| Subjects: | Q Science > Q Science (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering > Department of Electrical Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 10 Oct 2023 00:55 |
| Last Modified: | 10 Oct 2023 00:55 |
| URI: | http://eprints.um.edu.my/id/eprint/42256 |
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