Abstract
This paper proposes a probabilistic path loss prediction model for wireless communications in indoor corridor environments. The model is developed based on two evaluation studies. The first study was about the best-fit line-of-sight (LOS) probability models. At the same time, the second one was based on the best order of log-distance dependency for the close-in (CI) free space reference distance path loss model. The research was based on actual measurement data collected in a typical indoor corridor environment at 14, 18, and 22 GHz frequency bands. The evaluation of the proposed model's performance was done using the prediction error (PE), mean prediction error (MPE), and standard deviation error (SDE) between the predicted model and the measurement data. The distributions of the PE with the separation distance between the transmitting and receiving antennas are also presented. The main results show the effectiveness and accuracy of the proposed model since the MPE values between the proposed model and the real LOS data were only 1.6776, 1.1510, and 2.3671 dB at 14, 18, and 22 GHz, respectively. The maximum SDE value was 1.5985 dB for the LOS data and 5.1698 dB for the non-line-of-sight (NLOS) data. Furthermore, this paper considered the behavior of the model's MDE and SDE with the angle of arrival (AoA) of the receiving antenna. It is to be noted from the results that the model provides reasonable stability with the AoA. Finally, according to the obtained results, this probabilistic CI path loss model can help for designing wireless networks and link budget calculations in such environments.
Published Version
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