具有流量变化的绿色蜂窝网络中的节能基站部署

Yiqun Wu, Z. Niu
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引用次数: 26

摘要

在本文中,我们研究如何在绿色蜂窝网络中部署基站(BSs),当业务负载较低时,可以关闭BSs以节省能源。与以往的研究仅根据高峰流量负载部署基站不同,我们的基站部署方案是基于整个流量变化过程。特别地,我们考虑一个线性蜂窝网络,其中BSs是定期部署的,用户是均匀分布的。在给定流量变化过程和性能约束的情况下,通过对网络能耗进行分析评价,得到能量最优BS密度。仿真结果表明,与基于高峰流量负载的BS部署方案相比,该方案的能耗可降低20%以上,性能提升取决于详细的流量变化过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy efficient base station deployment in green cellular networks with traffic variations
In this paper, we study how to deploy base stations (BSs) in green cellular networks, where BSs can be switched off to save energy when traffic load is low. Unlike previous studies which deploy BSs only based on the peak traffic load, our BS deployment scheme is based on the whole traffic variation process. In particular, we consider a linear cellular network where BSs are regularly deployed and users are uniformly distributed. Given the traffic variation process and the performance constraint, we obtain the energy optimal BS density by evaluating the network energy consumption in an analytical way. Simulation results show that compared with the BS deployment scheme based on peak traffic load, the energy consumption of our scheme can be reduced by more than 20%, and the performance improvement depends on the detailed traffic variation process.
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