蜂窝网络中的绿色地理功率分配
Greening Geographical Power Allocation for Cellular Networks
摘要：
从自然中获取能源（太阳能、风能等）被设想为实现绿色无线网络的关键使能者。然而，绿色能源在地理上是分布的，并且功率量是随机的，这可能不足以通过单个能量站点为基站供电。燃烧煤炭、原油等棕色能源虽然会产生二氧化碳，但能提供稳定的电力。本文在不牺牲通信质量的前提下，研究了如何通过向电网中注入混合棕绿能量来进行绿色能量分配，以减少对棕能的依赖。我们提出了一个全面的框架来表征混合绿色和棕色能源授权蜂窝网络的性能。提出了一种新的性能指标“比特/吨\ce{CO2} /Hz”来评价通信网络的绿色性。由于绿色能源通常来自分布式地理位置且具有时变性，因此考虑电力传输的物理规律，即，欧姆定律和基尔霍夫电路定律。仿真结果表明，地理分布的绿色能源通过提高通信能力，同时节省布朗能源消耗，相互补充。此外，绿色能源的渗透也有助于减少输电缺口的功率损耗。
英文摘要：
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 generated from distributed geographical locations and is time varying, online geographical power allocation algorithm is proposed to maximize the greenness of communication network considering electricity transmission's physical laws i.e., Ohm's law and Kirchhoff's circuit laws. Simulations show that geographically distributed green energy sources complement each other by improving the communication capacity while saving brown energy consumption. Besides, the penetration of green energy can also help reduce power loss on the transmission breaches.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
