Prediction of Shadowing Gain of 2D Object by Mirror Kirchhoff Approximation With Unequal Interval

Mirror Kirchhoff approximation (MKA) is a technology to quantify the shadowing effect in the 5^th generation mobile communication systems. However, the conventional MKA using equal interval segmentation is inefficient in computation time since it does not consider the change in the slope of the shadowing object. In this letter, the unequal interval mirror Kirchhoff approximation (UMKA) is proposed to reduce computation time. In the proposal, the unequal internal is designed concerning the change in the slope of the object. The proposed method is validated for circular and elliptical conductor cylinders, which are considered to model the cross-section of the human body. The results show that UMKA achieves less computation time than the conventional MKA in the acceptable error range.