  We discuss contemporaneous aggregation of independent copies of a triangular
array of random-coefficient AR(1) processes with i.i.d. innovations belonging
to the domain of attraction of an infinitely divisible law W. The limiting
aggregated process is shown to exist, under general assumptions on W and the
mixing distribution, and is represented as a mixed infinitely divisible
moving-average. Partial sums process of $ is discussed under the assumption
E(W^2) is finite and a mixing density regularly varying at the "unit root" x=1
with exponent \beta >0. We show that the above partial sums process may exhibit
four different limit behaviors depending on \beta and the L\'evy triplet of W.
Finally, we study the disaggregation problem in spirit of Leipus et al. (2006)
and obtain the weak consistency of the corresponding estimator of the mixing
distribution in a suitable L_2-space.
