Energy-aware clustering for multi-cell joint transmission in LTE networks

E. Katranaras, M. Imran, M. Dianati
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引用次数: 11

Abstract

This paper investigates the energy-aware clustering of cooperating base stations in the downlink of cellular networks. The focus of this work is on static clustering deployments for LTE systems when joint signal precoding is employed at multiple base stations. We demonstrate that properly planned clustering can provide the desired balance between network spectral and energy efficiency. To this end, we compare the overall energy consumption of various clustered cooperation layouts while considering different target performance metrics at user end. Our evaluations for various inter-site distance deployments in a practical macrocell scenario unveil the individual parameters controlling the energy effectiveness of a clustering strategy. In fact, it is shown that the choice of the optimum clustering layout depends on: 1) the specific service demands; 2) the deployment density of the network and; 3) on the ability of the base stations to jointly adjust their transmit power. Ultimately, we provide a general framework for choosing the most appropriate cooperation set of base stations in energy-aware networks.
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LTE网络中多小区联合传输的能量感知聚类
研究了蜂窝网络下行链路中协作基站的能量感知聚类问题。这项工作的重点是在多个基站采用联合信号预编码时LTE系统的静态集群部署。我们证明了适当规划的聚类可以在网络频谱和能量效率之间提供所需的平衡。为此,我们在考虑用户端不同目标性能指标的情况下,比较了不同集群协作布局的总体能耗。我们对实际宏细胞场景中各种站点间距离部署的评估揭示了控制聚类策略能量有效性的单个参数。事实上,研究表明,最优集群布局的选择取决于:1)具体的业务需求;2)网络的部署密度和;3)基站共同调整发射功率的能力。最后,我们提供了一个在能量感知网络中选择最合适的基站合作集的一般框架。
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