New Empirical Path Loss Model for 28 GHz and 38 GHz Millimeter Wave in Indoor Urban under Various Conditions

Due to rapid development in mobile communication technology in recent years, the demand for high quality and high capacity networks with thorough coverage has become a major necessity. Several models have been developed for predicting wireless signal coverage in urban areas, but these models suffer...

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Bibliographic Details
Published in:	Applied sciences 2018-11, Vol.8 (11), p.2122
Main Authors:	Nossire, Zyad, Gupta, Navarun, Almazaydeh, Laiali, Xiong, Xingguo
Format:	Article
Language:	eng
Subjects:	Antennas Building materials Climate models Construction materials Cooperation COST-Hata Empirical analysis Global positioning systems GPS Humidity Indicators Information technology International conferences millimeter wave Millimeter waves Mobile communication systems Okumara path loss Prediction models Propagation Radio communications Receivers & amplifiers Regression analysis signal Signal processing Signal strength Statistical analysis temperature Transmitters Urban areas Urban development Urbanization Weather window size Wireless networks
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Summary:	Due to rapid development in mobile communication technology in recent years, the demand for high quality and high capacity networks with thorough coverage has become a major necessity. Several models have been developed for predicting wireless signal coverage in urban areas, but these models suffer from inadequately calculating certain conditions, such as weather and building materials, especially window size. In this paper, we propose a new path loss prediction model based on the measurement of new indicators, such as window size, temperature, and humidity conditions, after which an extensive statistical analysis using a linear regression technique was implemented in order to validate the new indicators. As the new indicators were incorporated into the Okumura model to derive a new path loss model, the results showed that the proposed model provides an accurate prediction of the received signal strength in a given propagation environment. Our model enhanced the prediction of path loss by 10% when compared to the Okumura and by 15% when compared to the COST-Hata.
ISSN:	2076-3417 2076-3417