Optimal Source Codes for Timely Updates
Prathamesh Mayekar, Parimal Parag, and Himanshu Tyagi

TL;DR
This paper develops optimal lossless source coding strategies to minimize the average age of information at a receiver, introducing a novel approach using tilted distributions and a new variational formula, outperforming traditional Shannon codes.
Contribution
It presents a new method for designing source codes that achieve near-optimal age minimization using tilted distributions and introduces a variational formula for integer moments.
Findings
Shannon codes for a tilted pmf nearly achieve the minimum average age.
The proposed codes outperform Shannon codes for the original pmf by a factor of O(√log|X|).
A new variational formula for integer moments is introduced.
Abstract
A transmitter observing a sequence of independent and identically distributed random variables seeks to keep a receiver updated about its latest observations. The receiver need not be apprised about each symbol seen by the transmitter, but needs to output a symbol at each time instant . If at time the receiver outputs the symbol seen by the transmitter at time , the age of information at the receiver at time is . We study the design of lossless source codes that enable transmission with minimum average age at the receiver. We show that the asymptotic minimum average age can be attained up to a constant gap by the Shannon codes for a tilted version of the original pmf generating the symbols, which can be computed easily by solving an optimization problem. Furthermore, we exhibit an example with alphabet where Shannon codes for the original pmf incur an…
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