2020/06/01 by Jakob Thrane, Thrane, Jakob, Krzysztof Mateusz Malarski +5 · 1 citation
Engineering · #Millimeter-Wave Propagation and Modeling #Power Line Communications and Noise #Advanced MIMO Systems Optimization
paper · pdf · doi:10.48550/arxiv.2006.00880
Path-loss modelling in deep-indoor scenarios is a difficult task. On one\nhand, the theoretical formulae solely dependent on transmitter-receiver\ndistance are too simple; on the other hand, discovering all significant factors\naffecting the loss of signal power in a given situation may often be\ninfeasible. In this paper, we experimentally investigate the influence of\ndeep-indoor features such as indoor depth, indoor distance and distance to the\nclosest tunnel corridor and the effect on received power using NB-IoT. We\ndescribe a measurement campaign performed in a system of long underground\ntunnels, and we analyse linear regression models involving the engineered\nfeatures. We show that the current empirical models for NB-IoT signal\nattenuation are inaccurate in a deep-indoor scenario. We observe that 1) indoor\ndistance and penetration depth do not explain the signal attenuation well and\nincrease the error of the prediction by 2-12 dB using existing models, and 2) a\npromising feature of average distance to the nearest corridor is identified.\n