面向 5G 和 B5G 移动网络的排放感知型可持续能源供应

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Adil Israr;Qiang Yang;Ali Israr
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引用次数: 0

摘要

由于移动流量呈指数级增长,预计在 5G 及 5G 以后的移动通信网络中将部署大量小型基站。这不仅会直接导致能耗大幅增加,还会增加整体运营成本和碳足迹。基于可再生能源发电的能源供应为这些小型基站供电被认为是应对这一挑战的可持续且有前景的解决方案。本文探讨了单个小基站移动网络的低成本、低碳能源供应解决方案,并提出了两种不同的潜在框架,即集中式能源供应和分布式能源供应。前者通过带储能设施的集中式可再生能源为附近的小基站供电。对于后者,小型基站可通过利用本地可再生能源和储能设施来供电。我们评估并比较了这两种框架在交通负荷、小基站位置和可再生能源利用率随时间变化的情况下的可再生能源利用率和碳减排量。此外,我们还为这些配置设计了能源管理,在拟议框架中纳入了资源按需使用策略。数值模拟结果表明,针对附近小基站提出的集中式可再生能源发电策略最大限度地提高了网络的成本和能效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emission-Aware Sustainable Energy Provision for 5G and B5G Mobile Networks
A massive number of small cell base stations are expected to be deployed in the 5G and beyond 5G mobile communication networks due to the exponential increase in mobile traffic. This will directly lead to not only a significant increase in energy consumption but also the overall operational cost and carbon footprint. An energy provision based on renewable energy generation to power these small cell base stations is considered a sustainable and promising solution to address this challenge. This paper exploits the cost-effective and low-carbon energy provision solution for individual small-cell mobile networks and presents two different potential frameworks, i.e., centralized and distributed energy provision, respectively. The former supplies nearby small cell base stations through a centralized renewable energy source with energy storage facilities. For the latter, small cell base stations can be supplied by utilizing local renewable energy and storage facilities. These two frameworks are assessed and compared in terms of renewable energy utilization and carbon emission reduction in the presence of time-varying traffic loads, small cell locations and renewable energy availabilities. In addition, we devise energy management for these configurations by incorporating a resource-on-demand strategy in the proposed framework. The numerical simulation results demonstrate that the proposed centralized renewable energy generation strategy for nearby small cells maximizes the cost and energy efficiencies of the network.
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来源期刊
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization
CiteScore
7.70
自引率
2.60%
发文量
54
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