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Path Loss Model Considering Blockage Effects of Traffic Signs Up to 40GHz in Urban Microcell Environments
Motoharu SASAKI Minoru INOMATA Wataru YAMADA Naoki KITA Takeshi ONIZAWA Masashi NAKATSUGAWA Koshiro KITAO Tetsuro IMAI
IEICE TRANSACTIONS on Communications
Publication Date: 2018/08/01
Online ISSN: 1745-1345
Type of Manuscript: PAPER
Category: Antennas and Propagation
5G, propagation, path loss, high frequency, blockage, urban, microcell,
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This paper presents the characteristics of path loss produced by traffic sign blockage. Multi frequency bands including high frequency bands up to 40 GHz are analyzed on the basis of measurement results in urban microcell environments. It is shown that the measured path loss increases compared to free space path loss even on a straight line-of-sight road, and that the excess attenuation is caused by the blockage effects of traffic signs. It is also shown that the measurement area affected by the blockage becomes small as frequency increases. The blocking object occupies the same area for all frequencies, but it takes up a larger portion of the Fresnel Zone as frequency increases. Therefore, if blockage occurs, the excess loss in high frequency bands becomes larger than in low frequency bands. In addition, the validity of two blockage path loss models is verified on the basis of measurement results. The first is the 3GPP blockage model and the second is the proposed blockage model, which is an expanded version of the basic diffraction model in ITU-R P.526. It is shown that these blockage models can predict the path loss increased by the traffic sign blockage and that their root mean square error can be improved compared to that of the 3GPP two slope model and a free space path loss model. The 3GPP blockage model is found to be more accurate for 26.4 and 37.1GHz, while the proposed model is more accurate for 0.8, 2.2, and 4.7GHz. The results show the blockage path loss due to traffic signs is clarified in a wide frequency range, and it is verified that the 3GPP blockage model and the proposed blockage model can accurately predict the blockage path loss.