Rain Attenuation Time Series Generation on Terrestrial Microwave Links with General N-State Markov Model

Nowadays and mainly in the near future the wireless point-to-point or point-to-multipoint connections are operating in high frequency. These systems are applied in feeder network for future cellular mobile communication systems or BFWA (broadband fixed wireless access) networks. Besides the obvious benefits of the applied high carrier frequency there is a significant disadvantage, the considerable attenuation caused by precipitation, especially by rain. For accurate planning of the proposed microwave links the statistics of the expectable rain attenuation is highly important. In this contribution our formerly published N-state Markov chain model is applied to predict first and second order statistics of rain attenuation on a proposed terrestrial microwave link in the planning phase. The first and second order statistics of rain attenuation can be derived directly from the Markov model parameters.