An indoor path loss prediction model using wall correction factors for wireless local area network and 5G indoor networks

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Obeidat, H. A., Asif, R., Ali, N. T., Dama, Y. A., Obeidat, O. A., Jones, S. M. R., Shuaieb, W. S., Al-Sadoon, M. A., Hameed, K. W., Alabdullah, A. A. and Abd-Alhameed, R. A. (2018) An indoor path loss prediction model using wall correction factors for wireless local area network and 5G indoor networks. Radio Science, 53 (4). pp. 544-564. ISSN 0048-6604

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Abstract

A modified indoor path loss prediction model is presented, namely, effective wall loss model. The modified model is compared to other indoor path loss prediction models using simulation data and real-time measurements. Different operating frequencies and antenna polarizations are considered to verify the observations. In the simulation part, effective wall loss model shows the best performance among other models as it outperforms 2 times the dual-slope model, which is the second best performance. Similar observations were recorded from the experimental results. Linear attenuation and one-slope models have similar behavior, the two models parameters show dependency on operating frequency and antenna polarization.

Item Type:	Article
Additional Information:	Funding Information: This work is partially supported by innovation programme under grant agreement H2020-MSCA-ITN-2016 SECRET-722424 and the financial support from the UK Engineering and Physical Sciences Research Council (EPSRC) under grant EP/E022936/1. All measured and simulated data will be available from the following link: https://drive.google.com/file/d/ 14KhlYxKKObD0p4Nch7PtKiJ_ TJ97d8XI/view?usp=sharing. Funding Information: This work is partially supported by innovation programme under grant agreement H2020-MSCA-ITN-2016 SECRET-722424 and the financial support from the UK Engineering and Physical Sciences Research Council (EPSRC) under grant EP/E022936/1. All measured and simulated data will be available from the following link: https://drive.google.com/file/d/14KhlYxKKObD0p4Nch7PtKiJ_TJ97d8XI/view?usp=sharing. Publisher Copyright: ©2018. American Geophysical Union. All Rights Reserved.
Uncontrolled Keywords:	indoor propagation,millimeter-wave frequencies,path loss models,received signal strength,wlan frequencies,condensed matter physics,earth and planetary sciences(all),electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/3100/3104
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	23 Aug 2022 13:32
Last Modified:	14 Mar 2023 08:34
URI:	https://ueaeprints.uea.ac.uk/id/eprint/87579
DOI:	10.1002/2018RS006536

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