On Modeling the Packet Error Statistics in Bursty Channels
Wireless channels usually
face bursty errors, i.e., errors are prone to occur in clusters. These
bit errors can be modeled using the Gilbert-Elliott model. When data
packets are transferred over channels with bursty errors, packet error
statistics are more important than bit error statistics to analyze the
communication performance. This has been modeled as a discrete time
Markov chain (DTMC) in previous work. However, whether this Markov
chain is time-homogeneous has never been addressed. In this paper, we
prove that the packet errors can be modeled only as a Markov chain
without constant transition probabilities. Thus finding a constant
transition matrix and then discussing performance is not accurate.
Instead, a gap model is adopted and the packet error/error-free length
distributions are thus analyzed.
See full paper.
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