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A generative model for burst error characterization in a fading channel

In this paper we present a novel generative model using universal prediction technique for burst error characterization in a fading environment. The proposed model has been used to generate burst error sequences as per the statistics of the error sequences observed in waveform level simulation of a link that follows the global system for mobile communication (GSM) standards with channel characteristics chosen as per COST 207 models for typical urban and rural areas. Simulation results show close match of the burst error statistics generated by the proposed model with that of the descriptive model which employs waveform level simulation, thereby validating the effectiveness of the proposed method.