A new selected points to enhance radio wave propagation strength outside the coverage area of the mobile towers in the dead spots of cellular mobile WiFi downloads

Nossire, Zyad; Dichter, Julius; Gupta, Navarun; Fathi, Jamal

doi:10.1109/lisat.2015.7160194

Cited by 5 publications

(2 citation statements)

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“…Amongst the channel characteristics, signal paths change is the most critical parameter. The path loss is defined as a decrease in the signal strength during propagation from the transmitter to the receiver [3]. Several effects may cause the path loss, such as reflection, refraction, diffraction, absorption, coupling, and cable loss [4].…”

Section: Introductionmentioning

confidence: 99%

“…Among the most broadly used empirical models are the Okumura model and COST-Hata model [4]. Okumura model is applicable in the frequency range 3 GHz [3,5], whereas COST-Hata model gives simple and straightforward techniques to ascertain path loss in a wider frequency range. Despite the fact that working frequency (5 GHz) is well beyond its estimation extent, its effortlessness and adjustment variables still allow for the calculation of path loss occurring at higher frequencies.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2018

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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.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%