Spatial–Temporal Energy Management of Base Stations in Cellular Networks
Spatial–Temporal Energy Management of Base Stations in Cellular Networks
复制标题
蜂窝网络基站的时空能量管理
DOI：
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发表时间：
2021
影响因子：
10.6
通讯作者：
Yi Wang
中科院分区：
文献类型：
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作者：
Chenyu Zhou;Cheng Feng;Yi Wang
在蜂窝无线网络中，基站（BS）的操作贡献了大部分能量消耗。通过分布式能源（DER）（如光伏（PV）和储能）为基站供电是降低上网功耗和构建绿色无线网络的有效方法。BS的最佳能量管理有助于减少无线网络的电费，并为电力网络提供灵活性。本文提出了时空能量管理（ST-EM）的概念，用于基站的能量管理。一方面，基站根据实时价格管理其功率消耗;另一方面，基站根据不同基站之间的价格差异调整用户关联并改变其功率消耗。BS的ST-EM被表示为一个大规模的混合整数非线性规划（MINLP）问题，该问题被证明是NP-难的。我们提出了一种启发式的方法来搜索一个次优解分解成一个能源网络优化子问题和通信网络优化子问题的原问题。两个子问题交替求解直至收敛。数值实验验证了该方法的有效性。
The operations of base stations (BSs) contribute most of the energy consumption in the cellular wireless networks. Powering BSs by distributed energy resources (DERs), such as photovoltaic (PV) and energy storage, is an effective way to reduce on-grid power consumption and build green wireless networks. Optimal energy management of BSs helps to reduce electricity bills for the wireless network and provides flexibility to the power networks. This article proposes the concept of spatial–temporal energy management (ST-EM) for the energy management of BSs. On the one hand, the BSs manage their power consumption according to the real-time prices; on the other hand, the BSs adjust the user associations and change their power consumption according to the price differences among different BSs. The ST-EM of BSs is formulated as a large-scale mixed-integer nonlinear programming (MINLP) problem, which is proven to be NP-hard. We propose a heuristic approach to search for one suboptimal solution by decomposing the original problem into an energy network optimization subproblem and a communication network optimization subproblem. The two subproblems are solved alternatively until convergence. Numerical experiments are conducted to verify the effectiveness of our proposed method.