Consider a broadcast channel with users, where different users receive different messages, and suppose that each user has to receive packets. A quantity of interest here, introduced by Sharif and Hassibi (2006-7) \cite{Sh}, \cite{S-H}, is the (\emph{packet}) \emph{delay} , namely the number of channel uses required to guarantee that all users will receive packets. For the case of a \emph{homogeneous} network, where in each channel use the transmitter chooses a user at random, i.e. with probability , and sends himher a packet, the same quantity had already appeared in the \emph{coupon collector} context, in the works of Newman and Shepp (1960) \cite{N-S} and of Erd\H{o}s and R'{e}nyi (1961) \cite{E-R}. A problem of particular interest in wireless communications, related to the delay , is to determine its behavior as and grow large. Regarding this problem, Sharif and Hassibi \cite{Sh}, \cite{S-H} managed to calculated the asymptotics of the mean value , as $n \to \inftym = \ln nm = (\ln n)^{\rho}\rho > 1$. It is remarkable that Erd\H{o}s and R'{e}nyi \cite{E-R} had, also, raised the question of the determination of the asymptotic profile of for large and (in 1961). And in the 1970’s the limiting distribution of for large and was determined (in great generality) by Ivchenko \cite{I1} and \cite{I2}. In this article we determine the asymptotics of the moments of for large and . We also derive its limiting distribution in the “supercritical case” where grows faster than and in the “critical case” , by an approach which is different from the one used by Ivchenko.

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