Statistical Model Using Geometrical-Optical Space Classification: Expansion of Applicable Frequencies to the 5 GHz Band

Takahiro HASHIMOTO  Takayuki NAKANISHI  Yoshio INASAWA  Yasuhiro NISHIOKA  Hiroaki MIYASHITA  

IEICE TRANSACTIONS on Electronics   Vol.E101-C   No.2   pp.135-138
Publication Date: 2018/02/01
Online ISSN: 1745-1353
Type of Manuscript: BRIEF PAPER
Category: Electromagnetic Theory
indoor propagation,  office floor,  propagation loss,  statistical model,  ray-tracing,  space classification,  

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The method for estimating propagation loss that classifies receiving points into multiple groups by focusing on the number of reflections and diffractions, and applies a separate statistical model to each group was extended from only 2.4 GHz band to both 2.4 GHz and 5 GHz band. The extended statistical model was created from received power measurements. First, an appropriate grouping method was investigated based on the fitting error of statistical model. Non-line-of-sight (NLOS) receiving points were grouped in order of points that a wave reflected one time reaches, points that a wave reflected two times reaches, and points that a wave diffracted one time reaches. Next, the effectiveness of the proposed method was verified by comparison with conventional statistical models (one-slope, dual-slope, multi-wall, partitioned) on three office floors that differ from the environment used to create the statistical model. The average NLOS estimation error for the three evaluation environments was 4.9 dB, demonstrating that the proposed method has accuracy equal to or better than that of conventional methods.