SAOITHE: Sustainable Age-of-Information-Based Timely Status Updating for Hardware-constrained Edge networks

TL;DR

SAOITHE is a scalable scheduling method for edge networks that minimizes information age while respecting carbon footprint limits, using real-world carbon intensity data.

Contribution

The paper introduces SAOITHE, a novel Whittle-index-based algorithm for carbon-aware status updating in hardware-constrained edge networks, addressing environmental and timeliness trade-offs.

Findings

SAOITHE reduces AoI by up to 75% in high-CI regions.

It maintains CF budgets while outperforming baseline policies.

The approach is scalable and effective across diverse CI conditions.

Abstract

In future large-scale deployments of 6G and beyond networks, collecting timely information, as measured by the Age of Information (AoI) metric, is becoming increasingly important. At the same time, the environmental impact, often characterized by the resulting Carbon Footprint (CF), depends on both the amount of consumed energy and the Carbon Intensity (CI), i.e., the amount of CO$_2$-equivalent emissions produced per unit of consumed energy. Since CI varies over time, minimizing energy is not equivalent to minimizing CF, as a status update with the same energy demand may result in a different carbon cost depending on when it is transmitted. This makes timely status updating a nontrivial scheduling problem. To address this challenge, we formulate carbon-aware status updating as a constrained Markov Decision Process (MDP) that minimizes AoI subject to CF budget, transmission duty-cycle, and channel-capacity constraints. We then propose Sustainable Age-of-Information-Based Timely Status Updating for Hardware-constrained Edge networks (SAOITHE), a Whittle-index-based scheduling solution that enables scalable real-time scheduling. Using real-world CI traces across low-, medium-, and high-CI regions, the results show that SAOITHE remains within the allocated CF budget while achieving lower AoI than baseline policies. Moreover, the gains are around 25% and 20% in low- and medium-CI regions, respectively, and up to 75% in high-CI settings, while preserving scalability.