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6 - Age of Information in Source Coding

Published online by Cambridge University Press:  02 February 2023

Nikolaos Pappas
Affiliation:
Linköpings Universitet, Sweden
Mohamed A. Abd-Elmagid
Affiliation:
Virginia Tech
Bo Zhou
Affiliation:
Nanjing University of Aeronautics and Astronautics, China
Walid Saad
Affiliation:
Virginia Tech
Harpreet S. Dhillon
Affiliation:
Virginia Tech
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Summary

This chapter explores Age of Information (AoI) in the context of the timely source coding problem. In most of the existing literature, service (transmission) times are based on a given distribution. In the timely source coding problem, by using source coding schemes, we design the transmission times of the status updates. We observe that the average age minimization problem is different than the traditional source coding problem, as the average age depends on both the first and the second moments of the codeword lengths. For the age minimization problem, we first consider a greedy source coding scheme where all realizations are encoded. For this source coding scheme, we find the age-optimal real-valued code word lengths. Then, we explore the highest k selective encoding scheme, where instead of encoding all realizations, we encode only the most probable k realizations. For each source encoding scheme, we first determine the average age expressions and then, for a given pmf, characterize the age-optimal k value, and find the corresponding age-optimal codeword lengths. Through numerical results, we show that selective encoding schemes achieve lower average age than encoding all realizations.

Type
Chapter
Information
Age of Information
Foundations and Applications
, pp. 140 - 165
Publisher: Cambridge University Press
Print publication year: 2023

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