I'm using a two states Markov chain to simulate a wireless channel at byte level. In the state Good the byte is well transmitted with probability 1 and in state Bad the byte is bad transmitted with probability 1. The parameters are:
The BER is the probability of arriving to the system and find it in the Bad state: BER = Pgb/(Pgb+Pbg).
The mean burst-error length is: Lb = 1/Pbg
What I want to do is to derive the markov chain transistion probabilites at packet level from the markov model at byte level. Actually I don't know if the packet level transistions can be modeled with another 2-states-markov chain, but I used hmmestimate in matlab and the results were almost close.
A packet is Good transmitted if all its bytes are Good transmitted too. A packet is bad transmitted if anyone of its bytes are bad transmitted.
Does anyone knows the solution or where I can find it?
Thanks in advance!