Verifying Received Power Predictions of Wireless InSite Software in Indoor Environments at WLAN Frequencies

Authors

  • Huthaifa A. Obeidat Faculty of Engineering Jerash University, Jerash, Jordan
  • Omar A. Obeidat College of Engineering Wayne State University, Detroit, Michigan, MI 48202, USA
  • Mahmood F. Mosleh College of Electrical and Electronic Engineering Techniques Middle Technical University, Baghdad, Iraq
  • Ali A. Abdullah School of Electrical Engineering and Computer Science University of Bradford, Bradford, BD7 1DP, UK
  • Raed A. Abd-Alhameed Basra University College of Science and Technology Basra, 61004, Iraq

Keywords:

FDTD, indoor propagation, ray lanching techniques, ray tracing, received signal strength, WLAN

Abstract

This paper introduces a study on verifying received power at WLAN frequencies in indoor environments, Wireless InSite is a popular electromagnetic ray-tracing software which is widely used for predicting channel behaviour in indoor and outdoor environments. The study compares software-generated data with measurements collected through 3rd floor Chesham Building, University of Bradford, at WLAN frequencies, the paper also investigates the effect of changing settings on results accuracy and computational time, and finally, the paper presents a comparison between simulation results with empirical models.

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Author Biographies

Huthaifa A. Obeidat, Faculty of Engineering Jerash University, Jerash, Jordan

Huthaifa Obeidat is Assistant Professor at the Communication and Electronics Department at Jerash University in Jordan, he received the Ph.D. in Electrical Engineering from the University of Bradford, UK, in 2018. His research interests include Radio-wave Propagation, millimetre wave propagation, e-health applications, Antenna and Location-Based Services.

Omar A. Obeidat, College of Engineering Wayne State University, Detroit, Michigan, MI 48202, USA

Omar Obeidat is currently a Ph.D. candidate at Wayne State University. He received his B.Sc. degree in Electrical Engineering from JUST in 2006, and M.Sc. degree in Wireless Commun-ication from Yarmouk University in 2009. His research interests include Nondestructive evaluation, thermal imaging and indoor and outdoor localization services.

Mahmood F. Mosleh, College of Electrical and Electronic Engineering Techniques Middle Technical University, Baghdad, Iraq

Mahmood Mosleh is a Professor at the Department of Computer Engineering Techniques, College of Electrical and Electronic Engineering Techniques, Baghdad, Iraq. His research interests combination of LMS and RLS Adaptive Equalizer for Selective Fading Channel and in the field of Wireless Sensor Networks, design and implementation.

Ali A. Abdullah, School of Electrical Engineering and Computer Science University of Bradford, Bradford, BD7 1DP, UK

Ali Alabdullah is currently pursuing the Ph.D. degree in Electrical Engineering with the Faculty of Engineering and Informatics, University of Bradford, Bradford, UK. His research interests include emerging technologies for 5G Wireless Communication System including Adaptive Beamforming Algorithms for wireless networks, Muti-User Massive MIMO.

Raed A. Abd-Alhameed, Basra University College of Science and Technology Basra, 61004, Iraq

Raed Abd-Alhameed is Professor of Electromagnetic and Radiofrequency Engineering with the University of Bradford, U.K. He has long years' research experience in the areas of radio frequency, signal processing, propagations, antennas, and electromagnetic computational techniques. His interest in computa-tional methods and optimizations, wireless and mobile communications, sensor design, EMC, beam steering antennas, energyefficient PAs, and RF predistorter design applications. He is a fellow of the Institution of Engineering and Technology and a fellow of the Higher Education Academy and a Chartered Engineer.

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Published

2020-10-01

How to Cite

[1]
Huthaifa A. Obeidat, Omar A. Obeidat, Mahmood F. Mosleh, Ali A. Abdullah, and Raed A. Abd-Alhameed, “Verifying Received Power Predictions of Wireless InSite Software in Indoor Environments at WLAN Frequencies”, ACES Journal, vol. 35, no. 10, pp. 1119–1126, Oct. 2020.

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