The most classical approach of determining rain attenuation for radio-wave frequency has been to theoretically determine the specific attenuation. At frequency over 10 GHz, rain and precipitation can influence the attenuation a lot; the effect of atmospheric attenuation between the source and destination over wireless communication is of major concern and a proper site visit and proper method are required to control the attenuation level so that the performance can be increased. In this paper exponential model has been used to determine the attenuation level for k-region (India) which can be used for region having similar condition. The analyzed predicted attenuation data have been compared with ITU-R measured rain attenuation, and the results will provide useful estimation of rainfall attenuation on microwave links in tropical regions that have similar conditions as (Almora) Uttarakhand region.

In any kind of network planning it is the central task to estimate and thus analyze propagation characteristics of a radio system through a medium in order to state accuracy in signal parameters for efficient network planning. The system must necessarily incorporate in itself the ability to predict the accurateness of radio propagation behavior. The site measurements each and every time are no doubt expensive & costly, so these models are a better alternative to that and even a lot less costly along with better suitability. Path loss thus is now a major consideration while laying down any network of base stations that can be used to estimate transmission requirements for a particular region thus offering better Quality of Service. Thus it is an important aspect to know the features of environment of operation of such a system along with the location of base station and mobile.

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Performance of current path attenuation prediction models encounters huge deviation from their true behavior when deployed for the locality apart from the one for which it had been proven for. This work deals with introducing the path loss on the basis of measured data and representation of the same in a different approach for the mentioned Fuzzy Inference system based analysis. The empirical data collection followed by curve-fitting for path loss evaluation on decibel scale with Normal random variable distribution for representing the shadow fading. Our paper introduces a new methodology for prediction of path loss for betterment in QoS via. Network planning specifically for mobility prone communication systems deploying fuzzy approach. The Transmission discontinuities encountered during propagation has been differentiated in to a variety of factors defined as fuzzy sets such as free space, flat terrain, low foliage terrain, high foliage terrain, and country side terrain. path loss exponent (n) has been applied for varied propagation profiles, Mamdani Fuzzy Inference has been deployed for prediction of "n" path loss exponent for any kind of scenario, which was obtained on the basis of set of symbolic rules that avails an approximation to the known propagation scenarios. Bertoni's model proposed by H.L. Bertoni's has been used for the present analysis.

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