Minimizing the Age of Information Over an Erasure Channel for Random Packet Arrivals With a Storage Option at the Transmitter
Subhankar Banerjee, Sennur Ulukus, Anthony Ephremides

TL;DR
This paper studies how to optimally manage update transmissions and storage at a base station to minimize information age over an erasure channel, considering storage costs and packet arrivals.
Contribution
It formulates a Markov decision process to derive an optimal storage and transmission policy balancing age and storage costs.
Findings
Derived an optimal switching storage policy.
Characterized the trade-off between age and storage cost.
Provided insights into system performance under optimal policy.
Abstract
We consider a time slotted communication system consisting of a base station (BS) and a user. At each time slot an update packet arrives at the BS with probability , and the BS successfully transmits the update packet with probability over an erasure channel. We assume that the BS has a unit size buffer where it can store an update packet upon paying a storage cost . There is a trade-off between the age of information and the storage cost. We formulate this trade-off as a Markov decision process and find an optimal switching type storage policy.
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Taxonomy
TopicsAge of Information Optimization · IoT Networks and Protocols · Cognitive Functions and Memory
