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14 - Information Freshness in Large-Scale Wireless Networks: A Stochastic Geometry Approach

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

Optimization of information freshness in wireless networks has usually been performed based on queueing analysis that captures only the temporal traffic dynamics associated with the transmitters and receivers. However, the effect of interference, which is mainly dominated by the interferers’ geographic locations, is not well understood. This chapter presents a theoretical framework for the analysis of the Age of Information (AoI) from a joint queueing-geometry perspective. We also provide the design of a decentralized scheduling policy that exploits local observation to make transmission decisions that minimize the AoI. To quantify the performance, we derive analytical expressions for the average AoI. Numerical results validate the accuracy of the analyses as well as the efficacy of the proposed scheme in reducing the AoI.

Type
Chapter
Information
Age of Information
Foundations and Applications
, pp. 364 - 383
Publisher: Cambridge University Press
Print publication year: 2023

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