Soliton distribution

Ideal distribution

The ideal soliton distribution is a probability distribution on the integers from 1 to K, where K is the single parameter of the distribution. The probability mass function is given by

: p(1)= \frac{1}{K}, : p(i)= \frac{1}{i(i-1)} \qquad (i=2,3,\dots,K). ,

Robust distribution

The robust form of distribution is defined by adding an extra set of values t(i) to the elements of mass function of the ideal soliton distribution and then normalizing so that the values add up to 1. The extra set of values, t(i), are defined in terms of an additional real-valued parameter δ (which is interpreted as a failure probability) and c, a constant parameter. Define R as R=c ln(K/δ). Then the values added to p(i), before the final normalization, are : t(i)= \frac{R}{iK}, \qquad \qquad (i=1,2,\dots,K/R-1), , : t(i)= \frac{R\ln(R/\delta)}{K}, \qquad (i=K/R), , : t(i)= 0, \qquad \qquad (i=K/R+1,\dots,K). , While the ideal soliton distribution has a mode (or spike) at 2, the effect of the extra component in the robust distribution is to add an additional spike at the value K/R.

References

References

1. Luby, M.. (2002). "LT Codes".
2. Tirronen, Tuomas. (2005). "Optimal Degree Distributions for LT Codes in Small Cases". Helsinki University of Technology.