Greening Geographical Power Allocation for Cellular Networks
Yanju Gu

TL;DR
This paper proposes a framework and online algorithm for geographically distributed green energy allocation in cellular networks, aiming to reduce brown energy use while maintaining communication quality.
Contribution
It introduces a novel performance metric and an online power allocation algorithm that considers physical laws, optimizing green energy utilization in cellular networks.
Findings
Green energy sources complement each other, enhancing capacity.
Green energy penetration reduces transmission power loss.
The framework effectively decreases brown energy consumption.
Abstract
Harvesting energy from nature (solar, wind etc.) is envisioned as a key enabler for realizing green wireless networks. However, green energy sources are geographically distributed and the power amount is random which may not enough to power a base station by a single energy site. Burning brown energy sources such as coal and crude oil, though companied with carbon dioxide emission, provides stable power. In this paper, without sacrificing communication quality, we investigate how to perform green energy allocation to abate the dependence on brown energy with hybrid brown and green energy injected in power networks. We present a comprehensive framework to characterize the performance of hybrid green and brown energy empowered cellular network. Novel performance metric "bits/ton\ce{CO2}/Hz" is proposed to evaluate the greenness of the communication network. As green energy is usually…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Advanced MIMO Systems Optimization · Power Line Communications and Noise
