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arXiv · 2610.19137

Carbon-Aware Joint Resource and Energy Scheduling for Cellular Base Stations

Jaebum Park·Yutao Xie·Amitava Ghosh·Yuanyuan Shi·Robert W. Heath Jr
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Abstract

Decarbonizing cellular networks requires coordinating communication-resource and battery operation with time-varying electricity prices and carbon intensity. We jointly optimize base station and battery operation under a carbon-adjusted electricity price and traffic-demand constraints, and solve the mixed-integer nonconvex problem through a two-stage decomposition exact under a minimum-power rule. Using California price and carbon-intensity data, we show that carbon-aware scheduling reduces emissions most when low-price and low-carbon periods are misaligned. Above a carbon price of roughly 100-300 USD/ton, battery operation shifts from cost-driven to carbon-driven, cutting emissions by up to 57.8% relative to a cost-only schedule.

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Jaebum Park, Yutao Xie, Amitava Ghosh, Yuanyuan Shi, Robert W. Heath Jr. 2026-10-13. Carbon-Aware Joint Resource and Energy Scheduling for Cellular Base Stations. https://arxiv.org/abs/2610.19137

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