Abstract
In this paper, we proposed a novel hidden Markov model (HMM) to approximate the characteristic of the Nakagami Fading channel. Our study is based on a Hidden Markov Model (HMM). The channel switches between ‘good’ and ‘bad’ channel situation. The transition between the sub-states of the channel is governed by a Markov Chain, which some self-return state is hidden. The performance of the model is studied by simulating probability density functions (PDF), cumulative distribution functions (CDF), level cross rate (LCR) and average fade duration (AFD).
Publisher
Trans Tech Publications, Ltd.