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能量高效超密集网络的最优部署
Optimal deployment of energy-efficient ultra-dense network
- 电信科学 2017年33卷第3期 页码：44-51
- 作者机构：
- 作者简介：
[ "葛亮（1993-），男，南京邮电大学通信与信息工程学院硕士生，主要研究方向为无线通信、超密集网络的能量效率分析与设计。" ]
[ "王志旭（1993-），男，南京邮电大学通信与信息工程学院硕士生，主要研究方向为无线通信、大规模MIMO中的导频设计与估计。" ]
- 基金信息：
DOI：10.11959/j.issn.1000-0801.2017068
中图分类号： TN929.5-
网络出版日期：2017-03，
纸质出版日期：2017-03-20
- 稿件说明：
移动端阅览
葛亮, 王志旭. 能量高效超密集网络的最优部署[J]. 电信科学, 2017,33(3):44-51.
Liang GE, Zhixu WANG. Optimal deployment of energy-efficient ultra-dense network[J]. Telecommunications science, 2017, 33(3): 44-51.
葛亮, 王志旭. 能量高效超密集网络的最优部署[J]. 电信科学, 2017,33(3):44-51. DOI： 10.11959/j.issn.1000-0801.2017068.
Liang GE, Zhixu WANG. Optimal deployment of energy-efficient ultra-dense network[J]. Telecommunications science, 2017, 33(3): 44-51. DOI： 10.11959/j.issn.1000-0801.2017068.
摘要
为使能量效率最大化，采用随机几何方法对多小区多用户MIMO蜂窝网络的上行链路进行建模，改进系统功耗模型，得到一个关于基站密度、发送信号功率、基站天线数、小区用户数以及导频复用因子的能量效率最大化问题。求解该问题，可得到最优的网络部署方案以及各最优参数与硬件特性、传播环境之间的关系。仿真与数值计算结果显示，超密集网络部署可以显著提高能量效率，但是随着基站密度的进一步增加，能量效率的提升很快饱和。更有趣的是，能量效率最优化所确定的部署方案恰为大规模MIMO情形。
Abstract
In order to maximize energy efficiency
the stochastic geometry method was used to model the uplink of a multi-cell multi-user MIMO cellular network.Then the system power consumption model was ameliorated.Based on this
an energy efficiency maximization problem with respect to base station density
transmit power
the number of base station antennas
users per cell and pilot reuse factor was obtained.Solving the problem
the optimal network deployment
as well as the relationship between the optimal variables
hardware characteristics and propagation environment was obtained.Finally
simulation and numerical results show that the ultra-dense network deployment can significantly improve the energy efficiency.However
with the further increase of the density of the base station
the improvement of the energy efficiency was quickly saturated.More interestingly
the deployment scenario determined by the energy efficiency optimization was just massive MIMO scenarios.
关键词
Keywords
references
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