Best Paper Award
Performance Evaluation Method for Propagation Loss Prediction Model Based on Wavelet Analysis
Tetsuro Imai
[Trans. Commun.iJPN Editionj, Vol. J95-B No.10, Oct. 2012]

Tetsuro Imai


@Mobile communication systems such as cellular systems are designed based on the concept of radio wave propagation, which was proposed by Dr. Okumura in the late 1960s. In this concept, reception level variations are categorized and modeled by three components which are based on spatial scale; namely, small-scale fading, large-scale fading and distance-dependent trend. Small-scale fading is the variation in the instantaneous value of the reception level within the observation range of several tens of wavelengths; large-scale fading is the variation in the spatial average value over several tens of wavelengths within the observation range of a few hundred meters; and distance-dependent trend is the variation in the spatial average value over a few hundred meters with respect to the distance from the base station (BS). Propagation loss prediction is a technique for predicting the reception level variation, mainly the distance-dependent trend which is essential in cell design (design of BS deployment). Here, the Okumura-Hata formula is the most popular model for propagation loss prediction.
@Currently, data traffic in a mobile communication system is increasing dramatically due to the spread of smartphone use. Therefore, in order to increase system capacity as cell sizes become smaller, more complete cell design needs to be implemented. This means that a propagation loss prediction model that can handle large-scale fading in addition to the distance-dependent trend is required. To date, a number of models have been proposed. However, it is difficult to evaluate them objectively because the definition of glarge-scaleh differs among models.
@This paper proposes the novel concept that greception level variation should be evaluated continuously with respect to spatial scale.h The proposed method enables evaluation of the spatial resolution of loss prediction for each model in addition to evaluation of loss prediction accuracy. That is its main feature. It means that limitation of the model for exact cell design is clarified; this is very important information in actual cell design.
@As described above, this paper is excellent in terms of both practicality and originality, and its value should be recognized.

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