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• W3196838629 abstract "The super high frequency and the millimeterwave frequency bands are promising solutions to cope with the increasing demand for higher data rates. Accurate channel modelling is vital for the performance analysis of wireless networks. Line-of-sight (LOS) probability is an essential parameter in channel modeling. It gives an insight into the probability of having a clear LOS connection between the transmitting and receiving antennas. There is a lack in characterising the LOS probability based on measurements in indoor corridor channels. In this paper, we parameterise and compare the performance of LOS probability models that are adopted by well-known standards. Also, a new LOS probability model is proposed based on the criteria of the minimum mean square error (MMSE) between the model and real measured data. The data was collected in a typical indoor corridor environment at 14, 18, and 22 GHz frequency bands. The results generally show that our proposed model outperforms the standard models in terms of its accuracy of fitting the real measured data with the minimum possible MSE. In addition, this paper studies the impact of the operating frequency on the LOS probability models' performance. The research finding reveals that the models' accuracy has a random behaviour with the frequency. Therefore, more investigations should be conducted to understand the models' behaviour over a wide range of frequencies to improve the precision of the LOS probability models for enclosed indoor channels." @default.
• W3196838629 created "2021-09-13" @default.
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• W3196838629 date "2021-08-05" @default.
• W3196838629 modified "2023-10-03" @default.
• W3196838629 title "Evaluation of Line-of-Sight Probability Models for Enclosed Indoor Environments at 14 to 22 GHz" @default.
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• W3196838629 doi "https://doi.org/10.1109/icabcd51485.2021.9519371" @default.
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