Building Entry Loss Measurements and Analysis on Non-Line-of-Sight and Line-of-Sight Paths at 6 GHz

Byeon, Chul Woo; Hossain, Alamgir; Lee, Young Chul

doi:10.1109/lawp.2019.2958691

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…Therefore, the scientific community is encouraged to understand O2I radio wave propagation [ 2 , 3 , 4 , 5 ] to help radio network engineers to achieve efficient radio coverage estimation, determine the optimal BS location, and perform interference feasibility studies. In seeking to understand those links, the applicability of standard urban microcell O2I path loss models such as COST231, WINNER+, ITU-R, and 3GPP are empirically tested [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Testing a 5G Communication System: Kriging-Aided O2I Path Loss Modeling Based on 3.5 GHz Measurement Analysis

Diago-Mosquera

Aragón‐Zavala

Rodríguez

2021

Sensors

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Deep knowledge of how radio waves behave in a practical wireless channel is required for the effective planning and deployment of radio access networks in outdoor-to-indoor (O2I) environments. Using more than 400 non-line-of-sight (NLOS) radio measurements at 3.5 GHz, this study analyzes and validates a novel O2I measurement-based path loss prediction narrowband model that characterizes and estimates shadowing through Kriging techniques. The prediction results of the developed model are compared with those of the most traditional assumption of slow fading as a random variable: COST231, WINNER+, ITU-R, 3GPP urban microcell O2I models and field measured data. The results showed and guaranteed that the predicted path loss accuracy, expressed in terms of the mean error, standard deviation and root mean square error (RMSE) was significantly better with the proposed model; it considerably decreased the average error for both scenarios under evaluation.

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