A Fuzzy-Logic Based Signal Loss Model At 2.6ghz For Wireless Networks

The article presents an optimal signal loss propagation model developed at 2.6GHz with the use of fuzzy-logic which is used to primarily represent all measure of uncertainties and uncertain data spectrum thereby producing accurate results. Experimental data were collected across Cyprus at 2.6GHz and compared with three existing signal loss models. The fuzzy-logic signal loss prediction model was then developed and compared with the experimental data and with each of the theoretical empirical models, the newly developed model predicted signal loss with the greatest accuracy as it gives the lowest root-mean square error. The newly developed model is very efficient for signal propagation.

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