3D RT adaptive path sensing Method: RSSI modelling validation at 4.5 GHz, 28 GHz, and 38 GHz

Document Type

Article

Publication Date

12-1-2022

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/).

Keywords

Measurement, Modelling, Radio propagation, Ray tracing, RSSI

Publication Title

Alexandria Engineering Journal

Divisions

sch_ecs

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]

Volume

61

Issue

12

Publisher

ELSEVIER

Publisher Location

RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

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