Age of Information Scaling in Large Networks with Hierarchical Cooperation


Abstract in English

Given $n$ randomly located source-destination (S-D) pairs on a fixed area network that want to communicate with each other, we study the age of information with a particular focus on its scaling as the network size $n$ grows. We propose a three-phase transmission scheme that utilizes textit{hierarchical cooperation} between users along with textit{mega update packets} and show that an average age scaling of $O(n^{alpha(h)}log n)$ per-user is achievable where $h$ denotes the number of hierarchy levels and $alpha(h) = frac{1}{3cdot2^h+1}$ which tends to $0$ as $h$ increases such that asymptotically average age scaling of the proposed scheme is $O(log n)$. To the best of our knowledge, this is the best average age scaling result in a status update system with multiple S-D pairs.

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