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GilbertModel

Research on the evaluation of speech signal transmission quality degradation in the IP network as a result of packet loss, can be carried out provided a mathematical model. It's allow to introduce these disturbances into the signal in a controlled manner. Several mathematical models of the phenomenon of loss have been proposed in the literature, which are the Bernoulli model and a more complex model based on Markov's chain. According to data relatively simple, providing an accurate approximation of the phenomenon of loss of packets in packages, is the Gilbert model. It assumes that the state of the current packet depends only on the state of the package preceding it.

Gilbert model

If we assume that X is a random variable representing the result of packet transmission at time n, then Xn is the sequence of events where n є N, is a discrete Markov series. The transmission result can take one of two states marked as: D (packet delivered) and Z (packet lost). Probability of transition to state Z when the previous state was also state Z, it is defined as follows: Pzz(X,n+1=Z | X, n=Z) = clp. The random variable X has a geometric distribution. Thus, the probability that BL of consecutive packets (package) is lost, it is defined as follows:

Probability of package loss

Mean Burst Loss Length (MBLL) is an expectations value geometric series

MBLL

The probability Pz of the packet's Z state occurrence is called the probability packet loss and is defined as follows

Pz

where Pd

Pd

is the probability that the packet is in state D

Pdz

is the probability of state Z when the packet the former was in state D The PZ variable is the basic parameter defining packet loss rate. It is also defined as the ratio of the number of packets lost to the number of packets sent in a given time unit