Optimizing Random Access for Information
Freshness in Spatially Distributed Wireless Networks
Name
Jones-jonesn-SM-EECS-2022-thesis.pdf
Description
Thesis PDF
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757.95 KB
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Adobe PDF
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1a3f1b7341ec5eb8c012e69334487543
Author(s)
Jones, Nicholas
Advisor(s)
Modiano, Eytan
Date Issued
September 2022
Publisher
Massachusetts Institute of Technology
Abstract
We analyze Age of Information (AoI) in wireless networks where nodes use a spatially adaptive random access scheme to send status updates to a central base station. We show that the set of achievable AoI in this setting is convex, and design policies to minimize weighted sum, min-max, and proportionally fair AoI by setting transmission probabilities as a function of node locations. We show that under the capture model, when the spatial topology of the network is considered, AoI can be significantly improved, and we obtain tight performance bounds on weighted sum and min-max AoI. Finally, we design a policy where each node sets its transmission probability based only on its own distance from the base station, when it does not know the positions of other nodes, and show that it converges to the optimal proportionally fair policy as the size of the network goes to infinity.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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