Predictive Models of the K-Factor Variation in South Africa for LOS Link Budget Applications

Abraham M. Nyete and Thomas J.O. Afullo

Keywords

Integral of square error, effective earth radius factor, line of sight links, radiosonde, path profile, Gaussian

Abstract

The demand for optimum utilization of the spectrum has been growing over the recent years. This is partly so because of the emergence of new wireless technologies which have to be accommodated within the existing spectral resources. Thus it has become expensive to lease frequency from regulatory authorities. Hence, there is need to cut down on the cost of rolling out new networks by maximizing on the available startup capital. One way of doing this is ensuring that the antenna heights used for the links are optimal in terms of height. In this paper, we propose seasonal models that can be used to predict the variation of the effective earth radius factor for South Africa. These models have been optimized using the integral of square error (ISE) criterion. These models are crucial in the proper planning of line of sight (LOS) links, specifically in the determination of accurate antenna heights. From these models, we see that higher k-factor values are recorded along coastal areas.

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